The Ideal Thigh: A Crowdsourcing-Based Assessment of Ideal Thigh Aesthetic and Implications for Gluteal Fat GraftingMD, Emma Vartanian,;PhD, Daniel J Gould, MD,;MD, Ziyad S Hammoudeh,;MS, Beina Azadgoli,;FACS, W Grant Stevens, MD,;FACS, Luis H Macias, MD,
2018 Aesthetic Surgery Journal
doi: 10.1093/asj/sjx191pmid: 29365056
Abstract Background As the popularity of aesthetic gluteoplasty continues to grow, there is renewed focus on defining the ideal buttocks. However, the literature lacks studies characterizing an ideal thigh, despite the impact of thigh contour on overall gluteal aesthetic. Objectives The authors performed the first population analysis of the characteristics of perception of attractive thighs, to identify a role for fat grafting of the thigh in gluteoplasty. Methods Survey images were digitally modified to create thighs of varying widths and angles relative to fixed buttocks. Thigh-to-buttock ratios and the buttock-thigh junction were studied. Data were stratified and analyzed according to age, gender, and ethnicity of the respondents. Amazon Mechanical Turk was used as a novel crowdsourcing platform for surveying aesthetic preferences. Results A total of 1034 responses were included of whom 54.4% were male, and 45.6% were female. All age groups and ethnicities were represented. Overall, 43.8% of respondents preferred the widest buttock-thick junction angle on posterior view. There was no clear preference between larger or smaller thigh-to-hip ratios on lateral view. Conclusions Characteristics of the ideal thigh include wider thighs with greater horizontal projection, creating a more natural contour from the augmented buttock. These findings represent a paradigm shift from the traditionally assumed preference for slender thighs. Plastic surgeons should carefully consider thigh anatomy in their gluteal augmentation patients, as simultaneous thigh augmentation may lead to a more aesthetically pleasing outcome. Further research is needed into best practices and techniques to attain ideal thigh proportions. The female buttocks has been a ubiquitous symbol of femininity throughout history, and as modern trends shift towards more dramatic curves, gluteal augmentation surgery continues to grow in popularity. Over 20,000 buttock augmentation procedures, with implants or fat transfer, were performed in 2016, compared to less than 8000 performed in 2011, a 180% increase in just five years.1,2 Since the first successful augmentation in 1973 by Cocke and Ricketson, using a round implant designed to have more projection than a breast implant,3 there has been ongoing reinvention of the ideal gluteal shape. Free fat grafting4 has become prevalent in gluteal augmentation due to the success seen in breast grafting,5-8 and though questions exist about technique and safety, the procedure is increasing in popularity.9,10 Recently, the efforts of many surgeons in the arena of fat grafting have contributed to a surge in the number of patients undergoing lipogluteoplasty, and to the clinical understanding of successful aesthetic outcomes.11-17 However, while many studies have looked at goals and results in gluteal augmentation,18,19 there is no literature that discusses the role of the thigh contour in overall buttock aesthetic. Enhancing the butt and lateral hip, whether with implants or lipoinjection, adds volume to the buttocks without altering the base of the thigh, producing what some cosmetic surgeons colloquially refer to as “the lollipop deformity” or “marshmallow on a stick.” The result is a disproportionate figure that is viewed as unattractive, and thereby counterproductive to patients’ desires. We hypothesize a broader thigh base would allow a more natural curvature and aesthetically pleasing outcome after gluteal augmentation. Shaping such a base would require augmenting the thigh as well, however such an intervention is likely to be rejected in an era where thigh liposuction and lifts are the status quo. We therefore set out to objectively define characteristics of the ideal thigh. Several authors have defined gluteal subunits and universal attractive features, such as a V-shaped gluteal crease and the presence of lateral depressions.18 Mendieta divides key buttock components into volume, shape, and skin laxity.20,21 He further defines ten aesthetic units of the posterior region, each with its own aesthetic needs and pitfalls.22 To date, no such analysis has been conducted on the thigh. Wong et al in their recent publication updating standards for the ideal buttock found that that the traditional 0.7 waist-to-hip ratio, anthropologically correlated with the greatest fertility, had been replaced by new ideal ratios of 0.6 and 0.65.19,23 Building on this framework, we designed a survey to quantify key ratios for the ideal thigh, while keeping buttock features the same. Importantly, we distributed this survey through a novel crowdsourcing website operated by Amazon, called Mechanical Turk. Amazon Mechanical Turk is an internet service that provides an on-demand human workface from around the globe, allowing diverse and rapid feedback. This tool was previously validated in the plastic surgery literature by a study using conjoint analysis with crowdsourcing to characterize the most important attributes of aesthetic surgeons.24 It has been applied in behavioral science and psychiatric research,25,26 but our study is the first of its kind to apply Mechanical Turk to cosmetic preferences. The aim of this study was thus twofold. First, to highlight the importance of thigh contour in overall buttock aesthetic, and secondly, to illustrate the untapped potential of Mechanical Turk to classify broad preferences and guide aesthetic surgery decision making. To meet patients’ expectations, a plastic surgeon must understand their requests within the context of their personal identity, and given the changing demographic makeup of the United States, population surveys are an invaluable tool to reveal cultural ideals. METHODS The authors developed a study survey by digitally altering images of thighs using Adobe Photoshop CC (Adobe Systems, Inc., San Jose, CA) to create thighs of varying proportions. Images were obtained from the operative photos of a 27-year-old female patient who signed an informed consent allowing photographs to be used for research purposes. Surveys were distributed electronically through a new polling platform, Amazon Mechanical Turk, in which anonymous users were offered $0.05 for their responses during February to May 2017. Two thigh panels were presented and respondents were asked to rank each set of images from most to least attractive. A blank copy of the survey is available as Appendix A (available online as Supplementary Material at www.aestheticsurgeryjournal.com). Within each panel, images were arranged in a random order to avoid bias. Randomization was performed by the Research Electronic Data Capture (REDCap, Vanderbilt University, Nashville, TN) software. Users also answered demographic questions regarding age, gender, ethnicity, and nationality, with age range divisions based on standard demographic delineated categories. Institutional Review Board approval was not required as none of the respondents were patients; we conducted the survey in accordance with the ethical standards set out by the Declaration of Helsinki. To capture the spatial relationship between thigh and buttock contour in our figures, we specifically analyzed the buttock-thigh junction. All proportions were measured with the Adobe Photoshop CC ruler tool for confirmation of accuracy. We defined a lateral buttock-thigh ratio as the width of the thigh at the infragluteal crease over the width the point of maximal projection of the buttocks, which was set at a vertical level halfway between the infragluteal crease and the iliac crest (Figure 1). This ratio varied from 0.5 to 0.9 in five adjacent images presented on one panel (Figure 2). We then looked at the obtuse angle between an anatomical vertical meridian from the ASIS to the intertrochanteric crest, transposed laterally in the diagram to intersect the thigh-buttock convexity, and an oblique line connecting the widest point of horizontal buttock projection to the superolateral thigh-buttock junction (Figure 1). This “junction angle” allowed to us to adjust the severity of transition from buttock to thigh while preserving the overall shape of the thigh. The angle was set between 170 and 110 degrees in increments of 15 degrees between each image. Given that the ideal waist-hip ratio (defined as the width of the narrowest portion between the ribs and iliac crest compared to the width of the widest point of the buttocks) had previously been found to be 0.65, we used this value and kept the ratio uniform across all images. Figure 1. View largeDownload slide (A, B) Photographs of a 27-year-old female patient. Lateral thigh-to-buttock ratio represented by a/b, where a is the horizontal distance across the buttock-thigh junction (at the level of the gluteal crease) and b is the horizontal distance to the point of maximal buttock projection. Posterior view with thigh-buttock junction angle represented by angle θ, the angle between an anatomical vertical meridian from the anterior superior illiac spine (ASIS) to trochanteric crest, transposed laterally in the diagram to intersect the thigh-buttock convexity, and an oblique line from the widest point of buttock projection to the thigh-buttock junction. Figure 1. View largeDownload slide (A, B) Photographs of a 27-year-old female patient. Lateral thigh-to-buttock ratio represented by a/b, where a is the horizontal distance across the buttock-thigh junction (at the level of the gluteal crease) and b is the horizontal distance to the point of maximal buttock projection. Posterior view with thigh-buttock junction angle represented by angle θ, the angle between an anatomical vertical meridian from the anterior superior illiac spine (ASIS) to trochanteric crest, transposed laterally in the diagram to intersect the thigh-buttock convexity, and an oblique line from the widest point of buttock projection to the thigh-buttock junction. Figure 2. View largeDownload slide Image panels used in the survey, prior to randomization and with numeric labels added for ease of description. (A) Depiction of decreasing thigh-buttock junction angle in 15 degree increments, from an angle of 170 degrees in image 1 to 110 degrees in image 5. (B) Depiction of increasing thigh-to-buttock ratio, from a ratio of 0.5 to 0.9. Figure 2. View largeDownload slide Image panels used in the survey, prior to randomization and with numeric labels added for ease of description. (A) Depiction of decreasing thigh-buttock junction angle in 15 degree increments, from an angle of 170 degrees in image 1 to 110 degrees in image 5. (B) Depiction of increasing thigh-to-buttock ratio, from a ratio of 0.5 to 0.9. Data were stratified according to the age range, gender, ethnicity, and nationality of the respondents. Statistical analysis of the data was performed with Microsoft Excel 2016 (Microsoft Corp., Redmond, Wash.), with values of P < 0.05 designating statistical significance. RESULTS A total of 1052 responses were collected. There were 18 respondents who did not complete the survey in its entirety and whose responses were thus excluded from data analysis. Of the total 1034 respondents included, 562 (54.4%) were male and 472 (45.6%) were female (Table 1). Ages ranged from 18 to 72 years old, with a mean age of 39. The most represented groups were the 25 to 34 year-old (49.7%) and 35 to 44 year-old (25.4%) demographics. Most of our population was located in either the United States (44.6%) or Asia (41.7%), however we received responses from every geographic region. Table 1. Respondent Demographic Results Demographic characteristic No. of respondents (%) Total no. of respondents 1034 Gender Male 562 (54.4) Female 472 (45.6) Age group (years) 18-24 92 (8.9) 25-34 514 (49.7) 35-44 263 (25.4) 45-54 90 (8.7) 55-64 54 (5.2) >65 21 (2) Location of Origin Africa 19 (1.8) Asia 431 (41.7) Australia 2 (0.2) Canada 12 (1.2) Caribbean/Pacific Islands 7 (0.7) Europe 62 (6.0) Mexico 3 (0.3) Middle East 7 (0.7) South America 30 (2.9) United States 461 (44.6) Ethnicity Black/African 50 (4.8) Chinese 21 (2.0) Hispanic/Latino 42 (4.1) Indian subcontinent 365 (35.3) Japanese 3 (0.3) Korean 5 (0.5) Middle Eastern 23 (2.2) Native American 20 (1.9) Pacific Islander 29 (2.8) White/Caucasian 439 (42.5) Other/multiracial 37 (3.6) Demographic characteristic No. of respondents (%) Total no. of respondents 1034 Gender Male 562 (54.4) Female 472 (45.6) Age group (years) 18-24 92 (8.9) 25-34 514 (49.7) 35-44 263 (25.4) 45-54 90 (8.7) 55-64 54 (5.2) >65 21 (2) Location of Origin Africa 19 (1.8) Asia 431 (41.7) Australia 2 (0.2) Canada 12 (1.2) Caribbean/Pacific Islands 7 (0.7) Europe 62 (6.0) Mexico 3 (0.3) Middle East 7 (0.7) South America 30 (2.9) United States 461 (44.6) Ethnicity Black/African 50 (4.8) Chinese 21 (2.0) Hispanic/Latino 42 (4.1) Indian subcontinent 365 (35.3) Japanese 3 (0.3) Korean 5 (0.5) Middle Eastern 23 (2.2) Native American 20 (1.9) Pacific Islander 29 (2.8) White/Caucasian 439 (42.5) Other/multiracial 37 (3.6) View Large Table 1. Respondent Demographic Results Demographic characteristic No. of respondents (%) Total no. of respondents 1034 Gender Male 562 (54.4) Female 472 (45.6) Age group (years) 18-24 92 (8.9) 25-34 514 (49.7) 35-44 263 (25.4) 45-54 90 (8.7) 55-64 54 (5.2) >65 21 (2) Location of Origin Africa 19 (1.8) Asia 431 (41.7) Australia 2 (0.2) Canada 12 (1.2) Caribbean/Pacific Islands 7 (0.7) Europe 62 (6.0) Mexico 3 (0.3) Middle East 7 (0.7) South America 30 (2.9) United States 461 (44.6) Ethnicity Black/African 50 (4.8) Chinese 21 (2.0) Hispanic/Latino 42 (4.1) Indian subcontinent 365 (35.3) Japanese 3 (0.3) Korean 5 (0.5) Middle Eastern 23 (2.2) Native American 20 (1.9) Pacific Islander 29 (2.8) White/Caucasian 439 (42.5) Other/multiracial 37 (3.6) Demographic characteristic No. of respondents (%) Total no. of respondents 1034 Gender Male 562 (54.4) Female 472 (45.6) Age group (years) 18-24 92 (8.9) 25-34 514 (49.7) 35-44 263 (25.4) 45-54 90 (8.7) 55-64 54 (5.2) >65 21 (2) Location of Origin Africa 19 (1.8) Asia 431 (41.7) Australia 2 (0.2) Canada 12 (1.2) Caribbean/Pacific Islands 7 (0.7) Europe 62 (6.0) Mexico 3 (0.3) Middle East 7 (0.7) South America 30 (2.9) United States 461 (44.6) Ethnicity Black/African 50 (4.8) Chinese 21 (2.0) Hispanic/Latino 42 (4.1) Indian subcontinent 365 (35.3) Japanese 3 (0.3) Korean 5 (0.5) Middle Eastern 23 (2.2) Native American 20 (1.9) Pacific Islander 29 (2.8) White/Caucasian 439 (42.5) Other/multiracial 37 (3.6) View Large Thigh Preferences Overall From a population perspective, the most attractive posterior thigh option was image 1 (43.8% of respondents), with a thigh-buttock junction angle of 170 degrees and thus the widest thigh base. Chi-square fit analysis determined there was a statistically significant skew in responses (P < 0.05). We applied a binomial test to compare preference for image 1 to the expected distribution, and determined this outcome was significant (P < 0.05). Image 2 was the second most attractive (31.3%), image 3 was the third most (36.9%), and image 4 was fourth most (36.9%). Image 5, with the sharpest thigh-buttock junction angle at 110 degrees and the slimmest lateral thigh, was found to be the least attractive (43.9%). Each of these ratings was statistically significant (P < 0.05), supporting a direct decrease in attractiveness as posterior thigh width grew narrower. From the lateral view, there was a broad distribution of preferences among groups. The preferred thigh-buttock ratio was 0.8, with 27.6% of respondents rating this as the most attractive image. The second-most attractive ratio was 0.6 (26.9%), then 0.5 (27.6%) and 0.6 (27.4%) as third- and fourth-most attractive, respectively. The least attractive thigh was image 5 (43.6%) with a thigh-buttock ratio at 0.9, the widest displayed. These preferences were nonsignificant, except for the finding that image 5 was least attractive (P < 0.05). These results are tabulated in Table 2. Given the subtle shift in thigh shape between images on the lateral panel, we performed a subanalysis dividing responses into three groups, to determine if broader themes in preferences were present. Choice of narrow (0.5-0.6), medium (0.7), and wide (0.8-0.9) thigh ratios as most attractive were compared, and respondents demonstrated no significant predilection towards any category (P > 0.05). Table 2. Thigh Aesthetic Preferences Most attractive (percentage of respondents) Second-most attractive (percentage of respondents) Third-most attractive (percentage of respondents) Fourth-most attractive (percentage of respondents) Least attractive (percentage of respondents) Posterior image 1 (43.8) 2 (31.3) 3 (31.4) 4 (36.9) 5 (43.9) Thigh-buttock junction angle 170° 155° 140° 125° 110° Lateral image 4 (27.6) 3 (26.9) 1 (27.6) 2 (27.4) 5 (43.6) Thigh-hip ratio 0.8 0.7 0.5 0.6 0.9 Most attractive (percentage of respondents) Second-most attractive (percentage of respondents) Third-most attractive (percentage of respondents) Fourth-most attractive (percentage of respondents) Least attractive (percentage of respondents) Posterior image 1 (43.8) 2 (31.3) 3 (31.4) 4 (36.9) 5 (43.9) Thigh-buttock junction angle 170° 155° 140° 125° 110° Lateral image 4 (27.6) 3 (26.9) 1 (27.6) 2 (27.4) 5 (43.6) Thigh-hip ratio 0.8 0.7 0.5 0.6 0.9 View Large Table 2. Thigh Aesthetic Preferences Most attractive (percentage of respondents) Second-most attractive (percentage of respondents) Third-most attractive (percentage of respondents) Fourth-most attractive (percentage of respondents) Least attractive (percentage of respondents) Posterior image 1 (43.8) 2 (31.3) 3 (31.4) 4 (36.9) 5 (43.9) Thigh-buttock junction angle 170° 155° 140° 125° 110° Lateral image 4 (27.6) 3 (26.9) 1 (27.6) 2 (27.4) 5 (43.6) Thigh-hip ratio 0.8 0.7 0.5 0.6 0.9 Most attractive (percentage of respondents) Second-most attractive (percentage of respondents) Third-most attractive (percentage of respondents) Fourth-most attractive (percentage of respondents) Least attractive (percentage of respondents) Posterior image 1 (43.8) 2 (31.3) 3 (31.4) 4 (36.9) 5 (43.9) Thigh-buttock junction angle 170° 155° 140° 125° 110° Lateral image 4 (27.6) 3 (26.9) 1 (27.6) 2 (27.4) 5 (43.6) Thigh-hip ratio 0.8 0.7 0.5 0.6 0.9 View Large Thigh Preferences Categorized by Age Ranges of Respondents When ratings were categorized by age demographics, all groups except those 65 years or older chose image 1 as the most attractive posterior view (P < 0.05). The numbers of respondents who were aged 65 years or older were few (21 in total) in comparison with those of other groups studied, making it difficult to draw any conclusions regarding buttock preferences in this age range. Preferences on lateral view were mixed, however respondents aged 25 to 34, 35 to 44, and 65 or older rated a thigh-hip ratio of 0.8 as the most attractive (Table 3). These findings were not significant. Table 3. Most Attractive Thigh by Age Ranges Age range (years) Posterior view image (% of respondents) Lateral view image (% of respondents) 18-24 1 (37.0) 1 (27.2) 25-34 1 (40.0) 4 (26.3) 35-44 1 (52.1) 4 (30.8) 45-54 1 (51.1) 3 (26.7) 55-64 1 (28.1) 3 (36.6) >65 2 (28.6) 4 (23.8) Age range (years) Posterior view image (% of respondents) Lateral view image (% of respondents) 18-24 1 (37.0) 1 (27.2) 25-34 1 (40.0) 4 (26.3) 35-44 1 (52.1) 4 (30.8) 45-54 1 (51.1) 3 (26.7) 55-64 1 (28.1) 3 (36.6) >65 2 (28.6) 4 (23.8) View Large Table 3. Most Attractive Thigh by Age Ranges Age range (years) Posterior view image (% of respondents) Lateral view image (% of respondents) 18-24 1 (37.0) 1 (27.2) 25-34 1 (40.0) 4 (26.3) 35-44 1 (52.1) 4 (30.8) 45-54 1 (51.1) 3 (26.7) 55-64 1 (28.1) 3 (36.6) >65 2 (28.6) 4 (23.8) Age range (years) Posterior view image (% of respondents) Lateral view image (% of respondents) 18-24 1 (37.0) 1 (27.2) 25-34 1 (40.0) 4 (26.3) 35-44 1 (52.1) 4 (30.8) 45-54 1 (51.1) 3 (26.7) 55-64 1 (28.1) 3 (36.6) >65 2 (28.6) 4 (23.8) View Large We next analyzed the data by stratifying posterior view ratings by both age and gender, to see if males and females within each group demonstrated varying preferences. For ages 25 to 34, 35 to 44, and 45 to 54, both males and females rated image 1 as the most attractive (Figure 3). In the 18 to 24 demographic, females found image 1 most attractive (49.7%), whereas males found image 2 most attractive (32.1%). Similarly, for those aged 55 to 64, the preferred thigh for females was image 1 (60.4%), and for males was image 2 (29.3%). Figure 3. View largeDownload slide Choice for most attractive thigh from posterior view categorized by gender and age of respondents. Percentages of female respondents are shown in blue and those of male respondents are shown in orange. (A) Preferences of respondents aged 18 to 24 years. (B) Preferences of respondents aged 25 to 34 years. (C) Preferences of respondents aged 35 to 44 years. (D) Preferences of respondents aged 45 to 54 years. (E) Preferences of respondents aged 54 to 65 years. (F) Preferences of respondents over aged 65 years. Figure 3. View largeDownload slide Choice for most attractive thigh from posterior view categorized by gender and age of respondents. Percentages of female respondents are shown in blue and those of male respondents are shown in orange. (A) Preferences of respondents aged 18 to 24 years. (B) Preferences of respondents aged 25 to 34 years. (C) Preferences of respondents aged 35 to 44 years. (D) Preferences of respondents aged 45 to 54 years. (E) Preferences of respondents aged 54 to 65 years. (F) Preferences of respondents over aged 65 years. Thigh Preference by Ethnicity When evaluating aesthetic appeal from the posterior thigh view, all ethnicities were unanimous in preferring image 1, except those who identified as Middle Eastern (Table 4). Of these 23 respondents, 34.8% found image 3 to be the most attractive (P > 0.05). Responses for lateral view preferences were again broadly distributed. Those of Chinese, Indian, Middle Eastern, and Caucasian descent selected a thigh-buttock ratio of 0.8 as most attractive, whereas Black, Hispanic, and multi-racial ethnicities preferred a ratio of 0.6. Native Americans and Pacific Islanders leaned toward a ratio of 0.6, and only Koreans chose 0.9 as the most attractive proportion. Small sample sizes made it challenging to draw statistically significant conclusions. Table 4. Preferences for Most Attractive Thigh by Ethnicity % of respondents Black/ African Chinese Hispanic/ Latino Indian sub-continent Japanese Korean Middle East Native American Other/ Multi-racial Pacific Islander White/ Caucasian Posterior image 1 (50.0) 1 (38.1) 1 (52.3) 1 (35.6) 1 (66.7) 1 (100) 3 (34.8) 1 (35.0) 1 (48.6) 1 (27.8) 1 (50.3) Lateral image 3 (32.0) 4 (33.3) 3 (33.3) 4 (25.8) 4 (100) 5 (60.0) 4 (34.8) 2 (35.0) 3 (27.0) 2 (41.4) 4 (29.2) % of respondents Black/ African Chinese Hispanic/ Latino Indian sub-continent Japanese Korean Middle East Native American Other/ Multi-racial Pacific Islander White/ Caucasian Posterior image 1 (50.0) 1 (38.1) 1 (52.3) 1 (35.6) 1 (66.7) 1 (100) 3 (34.8) 1 (35.0) 1 (48.6) 1 (27.8) 1 (50.3) Lateral image 3 (32.0) 4 (33.3) 3 (33.3) 4 (25.8) 4 (100) 5 (60.0) 4 (34.8) 2 (35.0) 3 (27.0) 2 (41.4) 4 (29.2) View Large Table 4. Preferences for Most Attractive Thigh by Ethnicity % of respondents Black/ African Chinese Hispanic/ Latino Indian sub-continent Japanese Korean Middle East Native American Other/ Multi-racial Pacific Islander White/ Caucasian Posterior image 1 (50.0) 1 (38.1) 1 (52.3) 1 (35.6) 1 (66.7) 1 (100) 3 (34.8) 1 (35.0) 1 (48.6) 1 (27.8) 1 (50.3) Lateral image 3 (32.0) 4 (33.3) 3 (33.3) 4 (25.8) 4 (100) 5 (60.0) 4 (34.8) 2 (35.0) 3 (27.0) 2 (41.4) 4 (29.2) % of respondents Black/ African Chinese Hispanic/ Latino Indian sub-continent Japanese Korean Middle East Native American Other/ Multi-racial Pacific Islander White/ Caucasian Posterior image 1 (50.0) 1 (38.1) 1 (52.3) 1 (35.6) 1 (66.7) 1 (100) 3 (34.8) 1 (35.0) 1 (48.6) 1 (27.8) 1 (50.3) Lateral image 3 (32.0) 4 (33.3) 3 (33.3) 4 (25.8) 4 (100) 5 (60.0) 4 (34.8) 2 (35.0) 3 (27.0) 2 (41.4) 4 (29.2) View Large Thigh Preference by Location Given the wide distribution of locations of origin, we looked at responses from the four most represented regions—United States, Asia, Europe, and South America (Table 5). Respondents from all areas listed posterior image 1 as the most attractive, with over half of surveyed Europeans and South Americans preferring this widest thigh (P < 0.05). Lateral view responses were evenly distributed. Respondents from the United States, Asia, and South America selected image 4 as the most attractive by slim margins, whereas those from Europe preferred image 3. These findings were nonsignificant (P > 0.05). A small minority of respondents resided in areas not mentioned above, thus preferences were not evaluated according to every possible location. Table 5. Most Attractive Thigh by Location of Origin Location of origin Posterior view image (% of respondents) Lateral view image (% of respondents) United States 1 (47.3) 4 (27.8) Asia 1 (35.7) 4 (25.5) Europe 1 (67.7) 3 (33.9) South America 1 (60.0) 4 (33.3) Location of origin Posterior view image (% of respondents) Lateral view image (% of respondents) United States 1 (47.3) 4 (27.8) Asia 1 (35.7) 4 (25.5) Europe 1 (67.7) 3 (33.9) South America 1 (60.0) 4 (33.3) View Large Table 5. Most Attractive Thigh by Location of Origin Location of origin Posterior view image (% of respondents) Lateral view image (% of respondents) United States 1 (47.3) 4 (27.8) Asia 1 (35.7) 4 (25.5) Europe 1 (67.7) 3 (33.9) South America 1 (60.0) 4 (33.3) Location of origin Posterior view image (% of respondents) Lateral view image (% of respondents) United States 1 (47.3) 4 (27.8) Asia 1 (35.7) 4 (25.5) Europe 1 (67.7) 3 (33.9) South America 1 (60.0) 4 (33.3) View Large Characteristics of Respondents Categorized by Lateral Thigh Preference Lastly, to confirm the seemingly even distribution of lateral thigh preferences, we analyzed demographic characteristics of the respondents who had picked each of the five lateral thighs as the most attractive (Supplemental Table 1, available online as Supplementary Material at www.aestheticsurgeryjournal.com). Among those who preferred image 2, there were a larger number of females than males (P < 0.05). Conversely, significantly more males were represented in the group that preferred image 5, depicting the widest lateral thigh. Groups who selected the other images did not have significant differences in gender. Age distribution was similar between groups, with 25 to 34 year olds comprising the majority of respondents for each image, followed by 35 to 44 year olds. Respondents who identified as Caucasian or Indian made up the majority for all groups. No differences in ethnic make up between those who selected each image reached significance. DISCUSSION This study aimed to define the general population’s preference for ideal thigh shape. As the popularity and prevalence of gluteal augmentation has grown in recent years, interest in buttock aesthetic has increased accordingly. Mendieta and others have described detailed classification systems for buttock features and landmarks to guide surgical approach to gluteoplasty.20 However, the thigh, which in its immediate proximity to the buttocks plays a key role in posterior region appearance, has been neglected by researchers and surgeons alike. By surveying diverse individuals through an anonymous internet survey, powered by Amazon Mechanical Turk, we sought to establish population-based guidelines for the ideal thigh. Our study found that a wider lateral thigh width, as measured by the buttock-thigh junction angle, was preferred in comparison with a slimmer thigh. Almost half of respondents chose the widest displayed thigh as the most attractive, and this preference was similar across ages, ethnicities, and countries. Notably, as the lateral thigh narrowed, respondents tended to rate it as increasingly less attractive, demonstrating the consistency of this preference. Image five, with the narrowest thigh, was overwhelmingly rated as the least attractive image, by 43.9% of respondents. This supports the conclusion that it was relative thigh width, rather than any other feature, that guided ratings. Males and females voted similarly, refuting the widespread notion that men prefer slimmer frames. In fact, significantly more men preferred the thicker thigh on lateral view compared to female respondents. When approaching the thigh from a lateral view, there was no clear consensus on ideal width. Thigh-buttock ratios from 0.5 to 0.8 were found to be similarly attractive, and there were no notable differences in the demographic make up of populations selecting each image. However, a ratio of 0.9 was found to be least attractive by a statistically significant margin. Our results suggest that additional breadth is more appreciated in the coronal plane of the thigh than in the sagittal plane. Extending thigh width to the extreme on side view produced a displeasing result, whereas a spectrum of thinner thighs was equally acceptable. These findings are consistent with the modern predilection for a curvy, feminine figure. Augmenting the lateral aspects of the thighs, adjacent to the gluteal crease, creates a smoother transition from buttock to leg and avoids unnatural mismatch. Conversely, on lateral view, respondents chose to preserve buttock projection by limiting relative thigh extension. This makes intuitive sense as the aim of gluteoplasty is often to enhance and distinctly define the buttock. This study points to the need for a major paradigm shift in the field of gluteoplasty. While many women would balk at the idea of thigh augmentation, and surgeons would be unlikely to suggest it, our data indicate most individuals feel a wide upper thigh is more attractive. The goal of cosmetic surgeons is to increase buttock depth and projection, simulating an hourglass shape. Yet if the soft tissue is augmented in these dimensions, whether with implants or with fat grafting, and the thigh is left unchanged, the result is disproportionate and displeasing. Gluteal augmentation procedures should therefore address thigh contour with as much care as they do buttock shape. Previous studies have concluded that the most attractive waist-to-hip ratio in the modern era is closer to 0.65 than the traditional 0.7, reflecting preference for a more dramatic appearance of a small waist and voluptuous buttocks.27 Our study builds on this finding to demonstrate that a curvier buttock is best complemented by a broader based thigh. Our data also demonstrates the utility and potential of Amazon Mechanical Turk for determining population preferences. This platform allowed our survey to be distributed to a heterogenous group of individuals across the globe. Plastic surgeons continually debate questions of ideal aesthetic; however, Turk offers a window into real-time beauty standards. Knowing what a specific ethnic population finds attractive, or what females of a certain age are looking for, will allow the surgeon to adjust his techniques to provide patients with well-received outcomes. Mechanical Turk has already been successfully applied to behavioral science, psychology research, and consumer data mining. This study represents the one of the first incorporations of this tool into aesthetic surgery research, a field with highly relevant applications. This study had several limitations. It was a largely two-ethnicity study, and findings were limited by the skewed number of Caucasians and Southeast Indians in comparison with other ethnic groups. Consequently, we were unable to meaningfully comment on preferences of other populations prevalent among aesthetic patients, Asians, Latinos, or African Americans. We anticipate results more tailored to each culture in future studies, with a more even number of respondents from each location and ethnic group. There were morphometric limitations, as our digitally altered images oversimplify the thigh-buttock relationship and do not account for changes in leg dimensions. We designed the study in this manner to isolate single variables, despite the small risk of nonanatomical depictions. Furthermore, since the widest displayed thigh on posterior view was found to be the most attractive, and there was no comparison to an even wider thigh, we are unable to determine whether our maximal width is truly the ideal and whether further increases would be less favorable. Another consequence of isolating thigh measurements is that a wider thigh-buttock ratio could alternately be interpreted as favoring a narrower buttock rather than an augmented thigh. Certainly the relationship between anatomical parts is a key take-away, but the aim of our study was to highlight the specific role of thigh dimension. By keeping the buttocks neutral and constant across our images, the salience and therefore impact of a wide or narrow buttock was minimized. In practice, an integrated approach to buttock and thigh shaped is necessary for individualized patient planning. Finally, due to the survey-based nature of our study, our results are dependent on the honesty of our respondents in answering demographic questions. The 18 individuals who did not complete the survey in its entirety were excluded, to mitigate the effect of inaccurate information. Through Mechanical Turk, each user was required to submit a unique worker identification code to receive payment upon survey completion, and codes were not allowed to be repeated. This ensured that each response was a novel data point, rather than a reiteration of a previous respondent. CONCLUSIONS The goal of gluteoplasty procedures is to make the posterior region more pleasing to the patient. The thigh plays a major role in final appearance, yet there are no guidelines for thigh aesthetic. As various authors have repeatedly discussed, in order to evaluate the success of surgery there must be an ideal, or “yardstick,” against which to compare results.28 Quantification of ideal relationships not only provides a more accurate understanding of anatomy, but serves to guide surgical techniques towards optimal aesthetic outcomes.29 In seeking to elucidate modern preferences, this study highlights the importance of thigh contour in creating an attractive result. A broad upper thigh, with seamless transition from buttock to thigh, was found to be most attractive shape. This finding has important implications for simultaneous thigh augmentation during gluteoplasty. Crowdsourcing, with the aid of modern photography and software, is thus a powerful tool to define aesthetic goals by turning patients into engaged consultants. Supplementary Material This article contains supplementary material located online at www.aestheticsurgeryjournal.com. Disclosures The authors declared no potential conflicts of interest with respect to the research, authorship, and publication of this article. Funding The authors received no financial support for the research, authorship, and publication of this article. REFERENCES 1. Cosmetic Surgery National Data Bank Statistics . Aesthet Surg J . 2017 ; 37 ( suppl_2 ): 1 - 29 . 2. American Society for Aesthetic Plast Surg . 2011 Cosmetic Surgery National Data Bank Statistics . Available at: https://www.surgery.org/sites/default/files/ASAPS-Stats2011.pdf. Accessed September 10, 2017 . 3. Mofid MM , Gonzalez R , de la Peña JA , Mendieta CG , Senderoff DM , Jorjani S . Buttock augmentation with silicone implants: a multicenter survey review of 2226 patients . Plast Reconstr Surg . 2013 ; 131 ( 4 ): 897 - 901 . 4. Peer LA . The neglected free fat graft . Plast Reconstr Surg . 1956 ; 18 ( 4 ): 233 - 250 . 5. Khouri RK , Eisenmann-Klein M , Cardoso E , et al. Brava and autologous fat transfer is a safe and effective breast augmentation alternative: results of a 6-year, 81-patient, prospective multicenter study . Plast Reconstr Surg . 2012 ; 129 ( 5 ): 1173 - 1187 . 6. Coleman SR , Saboeiro AP . Fat grafting to the breast revisited: safety and efficacy . Plast Reconstr Surg . 2007 ; 119 ( 3 ): 775 - 785 . 7. Clauser L , Polito J , Mandrioli S , Tieghi R , Denes SA , Galiè M . Structural fat grafting in complex reconstructive surgery . J Craniofac Surg . 2008 ; 19 ( 1 ): 187 - 191 . 8. Coleman SR . Structural fat grafting: more than a permanent filler . Plast Reconstr Surg . 2006 ; 118 ( 3 Suppl ): 108S - 120S . 9. Del Vecchio D , Rohrich RJ . A classification of clinical fat grafting: different problems, different solutions . Plast Reconstr Surg . 2012 ; 130 ( 3 ): 511 - 522 . 10. Cárdenas-Camarena L , Arenas-Quintana R , Robles-Cervantes JA . Buttocks fat grafting: 14 years of evolution and experience . Plast Reconstr Surg . 2011 ; 128 ( 2 ): 545 - 555 . 11. Toledo LS . Gluteal augmentation with fat grafting: the Brazilian buttock technique: 30 years’ experience . Clin Plast Surg . 2015 ; 42 ( 2 ): 253 - 261 . 12. Roberts TL III , Weinfeld AB , Bruner TW , Nguyen K . “Universal” and ethnic ideals of beautiful buttocks are best obtained by autologous micro fat grafting and liposuction . Clin Plast Surg . 2006 ; 33 ( 3 ): 371 - 394 . 13. Perén PA , Gómez JB , Guerrerosantos J , Salazar CA . Gluteus augmentation with fat grafting . Aesthetic Plast Surg . 2000 ; 24 ( 6 ): 412 - 417 . 14. Pereira LH , Radwanski HN . Fat grafting of the buttocks and lower limbs . Aesthetic Plast Surg . 2004 ; 20 ( 5 ): 409 - 416 . 15. Pedroza D , Valero L . Fat Transplantation to the Buttocks and Legs for Aesthetic Enhancement or Correction of Deformities: Long‐Term Results of Large Volumes of Fat Transplant . Dermatol Surg . 2000 ; 26 ( 12 ): 1145 - 1149 . 16. Murillo WL . Buttock augmentation: case studies of fat injection monitored by magnetic resonance imaging . Plast Reconstr Surg . 2004 ; 114 ( 6 ): 1606 - 1614 . 17. Gutowski KA , Force AFGT . Current applications and safety of autologous fat grafts: a report of the ASPS fat graft task force . Plast Reconstr Surg . 2009 ; 124 ( 1 ): 272 - 280 . 18. Cuenca-Guerra R , Lugo-Beltran I . Beautiful buttocks: characteristics and surgical techniques . Clin Plast Surg . 2006 ; 33 ( 3 ): 321 - 332 . 19. Wong WW , Motakef S , Lin Y , Gupta SC . Redefining the Ideal Buttocks: A Population Analysis . Plast Reconstr Surg . 2016 ; 137 ( 6 ): 1739 - 1747 . 20. Mendieta CG . Classification system for gluteal evaluation . Clin Plast Surg . 2006 ; 33 ( 3 ): 333 - 346 . 21. Mendieta CG . Gluteoplasty . Aesthet Surg J . 2003 ; 23 ( 6 ): 441 - 455 . 22. Mendieta CG . Gluteal reshaping . Aesthet Surg J . 2007 ; 27 ( 6 ): 641 - 655 . 23. Singh D . Adaptive significance of female physical attractiveness: role of waist-to-hip ratio . J Pers Soc Psychol . 1993 ; 65 ( 2 ): 293 - 307 . 24. Wu C , Scott HC , Diegidio P . What do our patients truly want? Conjoint analysis of an Aesthetic Plast Surg practice using internet crowdsourcing . Aesthet Surg J . 2017 ; 37 ( 1 ): 105 - 118 . 25. Bates JA , Lanza BA . Conducting psychology student research via the Mechanical Turk crowdsourcing service . N Am J Psychol . 2013 ; 15 ( 2 ): 385 . 26. Crump MJ , McDonnell JV , Gureckis TM . Evaluating Amazon’s Mechanical Turk as a tool for experimental behavioral research . PLoS One . 2013 ; 8 ( 3 ): e57410 . 27. Freese J , Meland S . Seven tenths incorrect: heterogeneity and change in the waist-to-hip ratios of Playboy centerfold models and Miss America pageant winners . J Sex Res . 2002 ; 39 ( 2 ): 133 - 138 . 28. Millard DR Jr . Principlization of Plastic Surgery . Boston : Little, Brown ; 1986 . 29. Aly A , Tolazzi A , Soliman S , Cram A . Quantitative analysis of aesthetic results: introducing a new paradigm . Aesthet Surg J . 2012 ; 32 ( 1 ): 120 - 124 . © 2018 The American Society for Aesthetic Plastic Surgery, Inc. Reprints and permission: [email protected] This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
Labiaplasty: Current Trends of ASAPS MembersMD, Turkia Abbed,;MD, Charlie Chen,;MD, Bill Kortesis,;MD, Joseph P Hunstad,;MD, Gaurav Bharti,
2018 Aesthetic Surgery Journal
doi: 10.1093/asj/sjy109pmid: 29846509
Labiaplasty continues to increase in frequency among the American Society for Aesthetic Plastic Surgery (ASAPS) members. From 2015 to 2016, labiaplasty increased by 23% according to the 2016 Cosmetic Surgery National Data Bank Statistics by ASAPS.1 During this time, more than 35% of all plastic surgeons offered labiaplasty as a part of their practice.1 As with many procedures, multiple variables exist when planning and performing labiaplasty. The primary reason for presentation ranges from unacceptable appearance to discomfort in clothing and often leads a surgeon towards a more or less aggressive technique.2 The tools for patient education vary from verbal discussion, drawings, before and after patient photographs, or labiaplasty origami.3 Labiaplasty origami is a simple and effective hands-on 3D reference for central wedge labiaplasty and clitoral hood reduction.3 We aim to evaluate the ASAPS membership to identify the current trends for labiaplasty. An online questionnaire was distributed to all active ASAPS members (n = 1628). The survey was composed of 12 questions regarding surgeon demographics, preferred labiaplasty technique, and self-reported outcomes (Appendix A). SURVEY RESULTS There were 213 members who responded to the survey (13.1% of the active membership) with 79% male and 21% female. 85.5% reported they perform labiaplasties. Respondents have been in practice for <5 (2.9%), 6-10 (9.9%), 11-20 (28.5%), 21-30 (37.1%), and >30 years (21.6%). They report performing labiaplasty over the last <1 (4.7%), 1-3 (7.3%), 3-5 (12.6%), 5-10 (36.1%), and >10 years (39.3%). The majority of respondents perform 1-10 per year (65.6%) followed by 11-20 per year (18%) (Figure 1). Primary presentations for consultation were concern with appearance (93.7%) and pain or discomfort with clothing (57.8%) (Figure 2). The preferred technique was reported as wedge (31.8%), trim (30.7%), variable based on presentation (26.9%), and combined trim and wedge (7.4%) (Figure 3). The main patient education tools utilized during consultation were verbal discussion (92.6%) and drawings (62.1%) (Figure 4). The majority used general anesthesia (32.3%) followed by local with oral sedation (27.9%) (Figure 5). The main complications reported were dehiscence (54.5%) and asymmetry (37.6%) (Figure 6). The majority reported <5% revision rate (87.6%) and 90%-100% patient satisfaction rate (81.1%). Figure 1. View largeDownload slide Survey results for question 5 (189 answered, 24 skipped): How many labiaplasties do you perform in an average year? Figure 1. View largeDownload slide Survey results for question 5 (189 answered, 24 skipped): How many labiaplasties do you perform in an average year? Figure 2. View largeDownload slide Survey results for question 6 (190 answered, 23 skipped): What is the primary presentation for the labiaplasty consult? Figure 2. View largeDownload slide Survey results for question 6 (190 answered, 23 skipped): What is the primary presentation for the labiaplasty consult? Figure 3. View largeDownload slide Survey results for question 7 (189 answered, 24 skipped): Which labiaplasty technique do you use primarily? Figure 3. View largeDownload slide Survey results for question 7 (189 answered, 24 skipped): Which labiaplasty technique do you use primarily? Figure 4. View largeDownload slide Survey results for question 8 (190 answered, 23 skipped): What patient education tools do you utilize during consultation? Figure 4. View largeDownload slide Survey results for question 8 (190 answered, 23 skipped): What patient education tools do you utilize during consultation? Figure 5. View largeDownload slide Survey results for question 9 (186 answered, 27 skipped): What method of anesthesia do you use primarily? Figure 5. View largeDownload slide Survey results for question 9 (186 answered, 27 skipped): What method of anesthesia do you use primarily? Figure 6. View largeDownload slide Survey results for question 10 (178 answered, 35 skipped): Which complications have you experienced after labiaplasty? Figure 6. View largeDownload slide Survey results for question 10 (178 answered, 35 skipped): Which complications have you experienced after labiaplasty? DISCUSSION Labiaplasty continues to increase in popularity. The outcome of the procedure not only improves the overall aesthetic appearance but also affects both the functional and sensual lifestyle of the patient. Labiaplasty may be performed with minimal levels of anesthesia, minimal complications, and exceedingly high levels of patient satisfaction. Tailoring the surgical plan to the patient’s overall goal and patient’s specific physical concerns is critical to achieving the optimal result. A variety of methods are available for illustration of the preferred technique and to assist in managing patients’ expectations. The surgeon’s ability to succinctly convey critical information involving the technique, degree of improvement, potential complications, and expected postoperative recovery is key to achieving the patient’s aesthetic and functional goals. The methods include using simple illustrations with before and after pictures, video animation, and structural representation such as origami.3 Voluntary response bias is inherent with regard to online questionnaires. The survey results tend to overrepresent surgeons who have strong opinions regarding labiaplasty. This is highlighted with 85.5% of respondents reporting performing labiaplasties as a part of their practice. Another potential limitation is the low response rate of 13.1% with 213 respondents of the total 1628 active ASAPS members. Compared to the average response rate of 10%-15% for an external survey, our response of 13.1% is well within the expected parameters.4 This survey provides a snapshot of the trends that are emerging among the ASAPS membership currently providing labiaplasty. Despite the increasing popularity, this procedure remains infrequently practiced by plastic surgeons. A significant portion of the respondents (78.5%) performs less than 10 labiaplasties per year. Recent literature continues to show the safety of the procedure with low complications and high patient satisfaction.5,6 It is unclear whether the low numbers of annual procedures are related to patient concerns, surgeon comfort with the procedure, or other potential concerns. We hope to further examine this relationship in future studies. CONCLUSION We present the current trends among active ASAPS members regarding primary concern during consultation, preoperative patient education, type of anesthesia, and preferred labiaplasty technique. Trim method and wedge method were the preferred techniques at similar rates, 30.7% and 31.8%, respectively. Members report a low revision rate (<5%, 87.6%) with excellent patient satisfaction. As labiaplasty continues to rise in demand, the members of ASAPS’ experiences and techniques continue to evolve. Supplementary Material This article contains supplementary material located online at www.aestheticsurgeryjournal.com. Disclosures The authors declared no potential conflicts of interest with respect to the research, authorship, and publication of this article. Funding The authors received no financial support for the research, authorship, and publication of this article. REFERENCES 1. Cosmetic surgery national data bank statistics . Aesthet Surg J . 2017 ; 37 ( suppl 2 ): 1 - 29 . 2. Miklos JR , Moore RD . Labiaplasty of the labia minora: patients’ indications for pursuing surgery . J Sex Med . 2008 ; 5 ( 6 ): 1492 - 1495 . 3. Abbed T , Mussat F , Cohen M . Origami model for central wedge labiaplasty: a simple educational model with video tutorial . Aesthet Surg J . 2017 ; 37 ( 10 ): NP132 - NP136 . 4. Fryrear A . What’s a Good Survey Response Rate? . Available at: https://www.surveygizmo.com/resources/blog/survey-response-rates. Accessed April 17, 2018 . 5. Lista F , Mistry BD , Singh Y , Ahmad J . The safety of Aesthetic labiaplasty: a plastic surgery experience . Aesthet Surg J . 2015 ; 35 ( 6 ): 689 - 695 . 6. Sharp G , Mattiske J , Vale KI . Motivations, expectations, and experiences of labiaplasty: a qualitative study . Aesthet Surg J . 2016 ; 36 ( 8 ): 920 - 928 . © 2018 The American Society for Aesthetic Plastic Surgery, Inc. Reprints and permission: [email protected] This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
Was There Bias in Writing This Paper?MD, Can Alper Çağıcı,
2018 Aesthetic Surgery Journal
doi: 10.1093/asj/sjy051pmid: 29868898
I read the paper by Dorfman et al1 with great interest. The authors evaluated 1,789,270 Instagram posts using hashtags related to plastic surgery. It is an endeavor that required a great deal of labor, and I congratulate the authors for this wonderful work. However, I think that the paper is biased in its representation of the importance of board certification, which was not convincingly supported by either the results of this study or those of the references. In the sixth paragraph of the Discussion section, they presented the results of the study by Mioton et al.2 They stated that this study compared the complication rates after panniculectomy operations between board-certified plastic surgeons and nonplastic surgeons. However, Mioton et al2 compared nonplastic surgeons and plastic surgeons in their study, not board-certified plastic surgeons. No mention of board certification was made in the referenced paper. The current authors misrepresented the results of Mioton et al’s paper to support their own goals.2 In addition to this, I wonder whether they have made changes in their own results for similar purposes: For example, a reader is left to wonder whether all plastic surgeons in the United States get board certification. If all plastic surgeons in the United States get board certification, this should be clarified. If not, which group did the authors include them in? It was unclear in the paper. The authors present the same results both in the last paragraph of the Results section and Table 2; however, the groups compared with board-certified plastic surgeons differed in these sections. In last paragraph of the Results section, a comparison is made between board-certified plastic surgeons and nonplastic surgeons. However, in Table 2, this comparison is made between board-certified plastic surgeons and nonboard-certified plastic surgeons. It is unclear whom board-certified plastic surgeons were actually compared with, creating confusion. The same confusion regarding the compared groups is seen between the first paragraph of “How Can Plastic Surgeons Unite to Educate the Public?” and Table 2. It appears to me that the authors only compared board-certified plastic surgeons and nonplastic surgeons (including nonboard-certified plastic surgeons), and have most likely used other comparisons to better support their assumptions. In the paragraph before the Limitations section, they advise the American Society for Aesthetic Plastic Surgery to inform the public about the danger of high postoperative complication rates for nonplastic surgeons, which was based on the results of only a single study (Mioton et al2). Making such a suggestion needs more strong references than a nonrandomized study that is also deficient in methodology. Mioton et al2 compared the complication rates after panniculectomy operations between plastic surgeons and nonplastic surgeons. However, patients in the nonplastic surgeon group were significantly older and more obese than those in the plastic surgeon group. Additionally, the nonplastic surgeon group had a greater number of comorbid conditions that might affect the frequency of postoperative complications. To eliminate these preoperative risk factors between groups, the authors obtained a propensity-matched group within the plastic surgeon group. They provide a detailed table comparing the propensity-matched plastic surgeon and nonplastic surgeon groups. However, this table only contains detailed characteristics and comorbidities of this comparison with related P values. There is no information about the postoperative complication rates of these matched groups nor their P values. In the Results section the authors give the results of the comparison of propensity-matched plastic surgeon and nonplastic surgeon groups. However, they only state that they found high overall complication and wound infection rates in the nonplastic surgeon group, and also do not provide any P values for these comparisons. A table detailing the comparison between matched groups, with P values, would give more reliable information than the comparison table that was made between unmatched groups. It raises questions as to why Mioton et al2 did not include this kind of table in their paper. If an article such as that by Dorfman et al1 emphasizing the importance of board certification is to be accurately carried out, plastic surgeons in the United States should be separated into two different groups: board-certified plastic surgeons and nonboard-certified plastic surgeons, and only after that can comparisons be made. In this situation, potential comparisons between board-certified plastic surgeons and nonboard-certified plastic surgeons and between board-certified plastic surgeons and nonplastic surgeons would provide more reliable information. Thus, a more reliable assumption could then be made regarding the importance of board certification. Disclosures The author declared no potential conflicts of interest with respect to the research, authorship, and publication of this article. Funding The author received no financial support for the research, authorship, and publication of this article. REFERENCES 1. Dorfman RG , Vaca EE , Mahmood E , Fine NA , Schierle CF . Plastic surgery-related hashtag utilization on instagram: implications for education and marketing . Aesthet Surg J . 2018 ; 38 ( 3 ): 332 - 338 . 2. Mioton LM , Buck DW 2nd , Gart MS , Hanwright PJ , Wang E , Kim JY . A multivariate regression analysis of panniculectomy outcomes: does plastic surgery training matter ? Plast Reconstr Surg . 2013 ; 131 ( 4 ): 604e - 612e . © 2018 The American Society for Aesthetic Plastic Surgery, Inc. Reprints and permission: [email protected] This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
Comments on “Plastic Surgery-Related Hashtag Utilization on Instagram: Implications for Education and Marketing”FAAD, Henry W Lim, MD,
2018 Aesthetic Surgery Journal
doi: 10.1093/asj/sjx228pmid: 29878052
On behalf of the 19,000 members of the American Academy of Dermatology, I am writing to express concern regarding the recent study by Dorfman et al related to plastic and cosmetic surgery hashtags on Instagram.1 While the results of this study are informative, the presentation of those results and the conclusions of the authors are misleading in implying that board-certified dermatologists are not qualified to perform cosmetic surgical procedures. The hashtags investigated by the authors include a range of general and specific terms that relate to both plastic surgery and cosmetic surgery procedures. As only 9 posts were indicated to be from dermatologists, and further data as to the nature of these posts are not provided, the authors’ conclusions regarding the specialty of dermatology are unsupported. Several cosmetic procedures, including liposuction, injection of botulinum toxin or soft-tissue fillers, and laser resurfacing, are safely and effectively used by dermatologists in the office setting.2,3 Further, the specialty of dermatology has contributed significantly to the advancement of cosmetic surgery to the benefit of multiple medical specialties, and dermatologists continue to innovate and lead clinical trials in new injectable, laser, and energy-based cosmetic procedures.3 The American Academy of Dermatology agrees that it is important for patients undergoing cosmetic procedures to receive care from a trained, board-certified physician. While we appreciate the attention this study brings to this issue, it is misleading to suggest that cosmetic surgery provided by dermatologists is inappropriate or would lead to poor patient outcomes. As experts in the medical and surgical treatment of skin, hair and nails, dermatologists certified by the American Board of Dermatology or the American Osteopathic Board of Dermatology have the education, training, and experience to safely perform cosmetic surgery and provide excellent results for patients. Current ACGME (Accreditation Council for Graduate Medical Education) Program Requirements for Graduate Medical Education in Dermatology require residency training in cosmetic techniques including liposuction, scar revision, laser resurfacing, hair transplants, invasive vein therapies, botulinum toxin injections, and soft-tissue augmentation.4 We agree with the authors that not all individuals offering cosmetic procedures are qualified to do so, despite claims to the contrary. In fact, dermatologists are often called to care for patients who experience negative results when unqualified providers attempt these procedures. We suggest the data from this study support the importance of patients first considering a board-certified physician, and then further investigating a doctor’s training, credentials, and experience before deciding if a particular physician is the right choice for them. Cosmetic surgery is practiced by physicians from a number of medical specialties; the outcome of any cosmetic procedure ultimately depends on the skill and experience of the healthcare provider. Unfortunately, the presentation of this study’s findings misrepresents the qualifications of board-certified dermatologists as providers of cosmetic surgery. Disclosures The author declared no potential conflicts of interest with respect to the research, authorship, and publication of this article. Funding The author received no financial support for the research, authorship, and publication of this article. REFERENCES 1. Dorfman RG , Vaca EE , Mahmood E , Fine NA , Schierle CF . Plastic surgery-related hashtag utilization on instagram: implications for education and marketing . Aesthet Surg J . 2018 ; 38 ( 3 ): 332 - 338 . 2. Starling J III , Thosani MK , Coldiron BM . Determining the safety of office-based surgery: what 10 years of Florida data and 6 years of Alabama data reveal . Dermatol Surg . 2012 ; 38 ( 2 ): 171 - 177 . 3. Hanke CW , Moy RL , Roenigk RK , et al. Current status of surgery in dermatology . J Am Acad Dermatol . 2013 ; 69 ( 6 ): 972 - 1001 . 4. Accreditation Council of Graduate Medical Education . http://www.acgme.org/Specialties/Program-Requirements-and-FAQs-and-Applications/pfcatid/3/Dermatology. Accessed October 26 2017 . © 2018 The American Society for Aesthetic Plastic Surgery, Inc. Reprints and permission: [email protected] This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
How to Objectively Evaluate Nodule Complications and Volume Changes After Fat Grafting in Breast AugmentationMD, Chenglong Wang,;MD, Adriana C Panayi,;MD, Jie Luan,
2018 Aesthetic Surgery Journal
doi: 10.1093/asj/sjy089pmid: 29931297
We have read with great interest the article entitled “Does Stromal Vascular Fraction Ensure a Higher Survival in Autologous Fat Grafting for Breast Augmentation? A Volumetric Study Using 3-Dimensional Laser Scanning” by Dr Chiu in the Aesthetic Surgery Journal.1 In this article, the author conducted a comparative study between patients who underwent fat grafting with stromal vascular fraction (SVF) and those without and found that there was no statistically significant difference on the survival rate of fat tissue, assessed by 3-dimensional (3D) laser imaging. Inspired by the author, we would like to express our opinion on the complications and volume assessment in breast augmentation with fat grafting. The author used breast ultrasonography to determine the complication rate following breast augmentation with fat grafting. Their diagnostic criteria for the induration and necrotic cyst are, however, not clear. Due to the sensitivity of ultrasonography, the ability to detect necrotic nodules is markedly increased.2 Based on our experience, many small but impalpable nodules may be present following fat grafting when the patients receive the ultrasonography. Thus, an exact definition of induration and necrotic cysts, including the diameter of each nodule, is necessary as this complication of fat grafting may affect morbidity. On the other hand, 3D breast imaging is a convenient tool for assessing the volumetric changes postbreast cosmetic surgery. However, as we know, the breast border may vary from patient to patient due to varying breast shapes, as well as differences in the posterior wall due to movement of the thoracic cage. Consequently, establishing an accurate definition of the breast border and posterior during measurement of breast volume is pivotal for objective volumetric analysis. It appeared from Figure 1C in the article1 that the author simply drew a circle around the breast. Stating the exact method for measuring the breast would be more appropriate. All in all, this was a good comparative study motivating plastic surgeons to rethink the SVF effect during fat grafting. Disclosures The authors declared no potential conflicts of interest with respect to the research, authorship, and publication of this article. Funding The authors received no financial support for the research, authorship, and publication of this article. REFERENCES 1. Chiu CH . Does stromal vascular fraction ensure a higher survival in autologous fat grafting for breast augmentation? A volumetric study using 3-dimensional laser scanning . Aesthet Surg J . 2018 ;doi: 10.1093/asj/sjy030 . 2. Komorowska-Timek E , Turfe Z , Davis AT . Outcomes of prosthetic reconstruction of irradiated and nonirradiated breasts with fat grafting . Plast Reconstr Surg . 2017 ; 139 ( 1 ): 1e - 9e . © 2018 The American Society for Aesthetic Plastic Surgery, Inc. Reprints and permission: [email protected] This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
Added Healthcare Charges Conferred by Smoking in Outpatient Plastic SurgeryMBA, Michelle R Sieffert, MD,;MD, R Michael Johnson,;MHS, Justin P Fox, MD,
2018 Aesthetic Surgery Journal
doi: 10.1093/asj/sjx231pmid: 29800088
Abstract Background A history of smoking confers additional risk of complications following plastic surgical procedures, which may require hospital-based care to address. Objectives To determine if patients with a smoking history experience higher rates of complications leading to higher hospital-based care utilization, and therefore greater healthcare charges, after common outpatient plastic surgeries. Methods Using ambulatory surgery data from California, Florida, Nebraska, and New York, we identified adult patients who underwent common facial, breast, or abdominal contouring procedures from January 2009 to November 2013. Our primary outcomes were hospital-based, acute care (hospital admissions and emergency department visits), serious adverse events, and cumulative healthcare charges within 30 days of discharge. Multivariable regression models were used to compare outcomes between patients with and without a smoking history. Results The final sample included 214,761 patients, of which 10,426 (4.9%) had a smoking history. Compared to patients without, those with a smoking history were more likely to have a hospital-based, acute care encounter (3.4% vs 7.1%; AOR = 1.36 [1.25-1.48]) or serious adverse event (0.9% vs 2.2%; AOR = 1.38 [1.18-1.60]) within 30 days. On average, these events added $1826 per patient with a smoking history. These findings were consistent when stratified by specific procedure and controlled for patient factors. Conclusions Patients undergoing common outpatient plastic surgery procedures who have a history of smoking are at risk for more frequent complications, and incur higher healthcare charges than patients who are nonsmokers. Level of Evidence: 2 The association between smoking and perioperative complications is well known. The chemicals in cigarette smoke cause vasoconstriction, reduced oxygen carrying capacity, a reduction in baseline dermal perfusion, increased thrombogenesis, and abnormal cellular function.1,2 These changes profoundly impair incisional healing and increase infection rates, especially in procedures where random-pattern skin flaps are created. This has been well described among smokers undergoing rhytidectomy,3 abdominoplasty,4 breast reduction,5,6 and breast reconstruction.7 Many of the procedures susceptible to the adverse effects of smoking are also among the most commonly performed plastic surgery procedures in the United States.8,9 While some smoking-related complications can be treated in the outpatient setting with little time or economic cost to the patient, others may prompt patients to seek care in hospital emergency departments, or even require a hospital admission. This use of hospital-based, acute care in the postoperative period has been previously studied in the plastic surgery population. For outpatient plastic surgery patients treated in ambulatory surgery centers or hospital-based outpatient departments, nearly 4% will visit an emergency department or require hospital admission within 30 days of discharge.10 These additional healthcare encounters may be costly for patients who are commonly self-pay11 while simultaneously causing adverse psychological effects. Despite the known adverse effects of smoking in the perioperative period, the frequency of hospital-based, acute care utilization and the associated healthcare charges attributable to smoking among patients undergoing common outpatient plastic surgeries are largely unknown. Therefore, we conducted this study to describe and quantify the relationship between smoking status, the frequency of emergency department visits and hospital admissions (hospital-based, acute care episodes), and overall charges in the 30-day period following outpatient plastic surgery. Based on prior studies showing higher rates of complications in this population, we hypothesized that postprocedure healthcare utilization and overall charges would be higher among the smoking population. METHODS We conducted a retrospective cohort study using discharge data from the 2009 to 2013 California, Florida, Nebraska, and New York ambulatory surgery, inpatient, and emergency department databases.12-15 These states were selected because they: (1) have large populations; (2) are geographically diverse; (3) have heterogeneous populations; (4) have available ambulatory surgery, emergency department (ED), and hospital inpatient databases; and (5) contain the variables necessary to follow patients over time and across healthcare settings. The databases are collected at the state-level, processed and standardized at the federal level, and ultimately made available to researchers through the Healthcare Cost and Utilization Project (HCUP). These data are a census of discharges from freestanding ambulatory surgery centers and hospital-based outpatient departments; inpatient discharges from acute care, nonfederal hospitals; and emergency department visits which do not result in hospital admission. Each discharge abstract contains up to 21 Current Procedural Terminology (CPT) or International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) procedure codes and 15 diagnostic ICD-9-CM codes, as well as patient demographic, anticipated payer, and discharge disposition data. Additionally, databases for these states contain encrypted patient identifiers that allow for the longitudinal study of healthcare utilization over time and across healthcare settings. Patient Selection From the ambulatory surgery databases, we identified all discharges for state residents at least 18 years of age with a valid patient identifier who underwent facial plastic surgery (blepharoplasty, rhinoplasty, or face and forehead lift), breast surgery (breast reduction, mastopexy, or augmentation), abdominal contouring (liposuction or abdominoplasty), or a combination of procedures between January 1, 2009 and November 1, 2013 (N = 224,799; see Appendix 1 for CPT coding [available online as Supplementary Material at www.aestheticsurgeryjournal.com]). These surgeries were selected because they are among the most common outpatient plastic surgery procedures performed based on recent statistics released by the American Society for Aesthetic Plastic Surgery8 and the American Society of Plastic Surgeons.9 Next, we sequentially excluded discharges where the disposition was listed as missing, death, left against medical advice, or immediate transfer to an acute care hospital (N = 127). This ensured all patients survived to discharge and were “at risk” for subsequent analysis of healthcare utilization and associated healthcare charges. If a patient had more than one discharge meeting these same criteria within 30 days (N = 9666), we selected the first discharge for study. Identifying Patients With a Smoking History Patients were subgrouped according to smoking history. A smoking history was considered present if it was a listed diagnosis (ICD-9-CM codes 305.1x, V15.82) during the initial ambulatory surgery center encounter or during any hospital admission in the preceding 12 months. Prior studies evaluating the accuracy of these codes suggest high specificity but low sensitivity.16 This suggests that when a history of smoking is coded, the patient likely has the diagnosis. However, the absence of a code does not completely exclude the diagnosis. If a relationship between smoking and poor outcomes exists, our results may underestimate the true effect of smoking due to misclassification of patients with a smoking history into the group without a smoking history. Outcome Measures We evaluated three 30-day outcomes: hospital-based acute care, serious adverse events, and cumulative healthcare charges. Hospital-based, acute care was defined as any hospital admission or emergency department visit within 30 days of discharge. Hospital admissions were identified from corresponding state inpatient databases, while emergency department visits not requiring hospital admission were identified from corresponding state emergency department databases. For this outcome, all encounters were included regardless of primary diagnosis. Serious adverse events were identified as a subset of these hospital-based, acute care encounters for specific diagnoses important to surgical patients: pulmonary failure, pneumonia, myocardial infarction, deep venous thrombosis or pulmonary embolism, acute renal failure, postoperative bleeding, surgical site infection, postoperative pain, or gastrointestinal bleeding. These diagnoses were selected because they have been previously used to study postoperative complications and have reasonable agreement with medical chart review.17,18 Cumulative healthcare charges were calculated by adding the total charges from the initial ambulatory surgery center encounter with all subsequent healthcare charges incurred from hospital-based, acute care encounters within 30 days of surgery. All healthcare charges were adjusted to 2015 US dollars using the medical component of the consumer price index. Additional Data for Description and Risk Adjustment At the time of ambulatory surgery center discharge, we recorded the patient’s age, sex, and anticipated primary payer (Medicare, Medicaid, Private, Other), as well as the procedure(s) being performed. Using the inpatient and emergency department databases, we assessed the degree of chronic comorbidity according to the enhanced-Elixhauser19 algorithm described by Quan et al20 which identifies 31 chronic medical conditions. A condition was considered present if it was a listed diagnosis during the ambulatory surgery center discharge or at any inpatient or emergency department discharge in the previous 12 months. We collapsed similar diagnoses into clinically meaningful categories: cardiovascular diseases other than hypertension (ie, congestive heart failure, valve disease, arrhythmias, or peripheral vascular disease), hypertension, chronic respiratory disease, diabetes, hypothyroidism, and mental health diagnoses (ie, depression, psychoses, and substance abuse). Statistical Analysis First, patient sociodemographic and clinical characteristics were presented and compared between groups using t tests and chi-square tests for continuous and categorical variables, respectively. Second, logistic regression analyses were performed to calculate unadjusted and adjusted odds ratios (ORs) with 95% confidence intervals (CIs) to describe the association between a smoking history, hospital-based, acute care, and serious adverse events. All multivariable logistic regression models controlled for the sociodemographic and clinical variables previously described. Finally, the analysis of total, 30-day charges proceeded in several steps. Because the distribution of healthcare charges was not normally distributed, the variable was log transformed for analysis. This log transformed value served as the dependent variable in a linear regression model to determine the unadjusted and adjusted relationship between a smoking history and cumulative healthcare charges. In the adjusted models, the previously described covariates were augmented with variables representing the state where surgery was performed. The resultant parameter estimates were then back transformed with a smearing factor as described by Duan et al.21 Because charges will be different across procedures, this analysis was stratified by procedure. All P values were two-sided and considered significant at the P <0.05 level and all analyses were conducted using SAS version 9.4 (SAS Institute, Cary, NC). This study was approved in an expedited review by the University of Pennsylvania Institutional Review Board. RESULTS The final sample included 214,761 patients with 10,426 (4.9%) having a smoking history. The cohort was predominantly female (81.2% vs 17.1%) with a mean age of 52.1 years (range, 18-85 years). Most patients underwent facial plastic surgery, followed by breast surgery, and abdominal contouring procedures. Compared to patients without a smoking history, patients with a smoking history tended to be older (53.6 vs 52.1 years, P < 0.001) and were more often male (21.4% vs 16.9%, P < 0.001). Patients with a history of smoking were also more likely to have comorbid medical conditions including hypertension (38.5% vs 10.4%, P < 0.001), chronic obstructive pulmonary disease (20.5% vs 3.3%, P < 0.001), obesity (10.9% vs 2.9%, P < 0.001), and mental health diagnoses (18.0% vs 2.5%, P < 0.001; Table 1). Table 1. Description of Outpatient Plastic Surgery Sample (2009–2013) According to History of Smoking Overall Nonsmoker Smoker P-value1 Patients 214,761 204,335 10,426 - Age in years, mean 52.2 52.1 53.6 <0.001 Sex, % <0.001 Male 17.1 16.9 21.4 Female 81.2 81.4 77.6 Missing 1.7 1.7 1.1 Primary payer, % <0.001 Medicare 24.3 24.1 27.7 Medicaid 2.8 2.6 5.7 Private 30.5 30.0 40.3 Self-pay 42.4 43.2 26.4 Chronic medical conditions, % Cardiovascular diseases other than hypertension 2.9 2.3 13.6 <0.001 Hypertension 11.8 10.4 38.5 <0.001 Chronic respiratory disease 4.2 3.3 20.5 <0.001 Diabetes 3.8 3.4 13.0 <0.001 Obesity 3.5 2.9 10.9 <0.001 Hypothyroidism 3.3 3.0 12.6 <0.001 Mental health diagnoses 3.2 2.5 18.0 <0.001 Procedures, % <0.001 Facial plastic surgery 48.4 48.4 47.8 Breast surgery 30.0 29.9 33.7 Abdominal contouring 9.2 9.2 9.3 Multiple procedures 12.4 12.5 9.2 Overall Nonsmoker Smoker P-value1 Patients 214,761 204,335 10,426 - Age in years, mean 52.2 52.1 53.6 <0.001 Sex, % <0.001 Male 17.1 16.9 21.4 Female 81.2 81.4 77.6 Missing 1.7 1.7 1.1 Primary payer, % <0.001 Medicare 24.3 24.1 27.7 Medicaid 2.8 2.6 5.7 Private 30.5 30.0 40.3 Self-pay 42.4 43.2 26.4 Chronic medical conditions, % Cardiovascular diseases other than hypertension 2.9 2.3 13.6 <0.001 Hypertension 11.8 10.4 38.5 <0.001 Chronic respiratory disease 4.2 3.3 20.5 <0.001 Diabetes 3.8 3.4 13.0 <0.001 Obesity 3.5 2.9 10.9 <0.001 Hypothyroidism 3.3 3.0 12.6 <0.001 Mental health diagnoses 3.2 2.5 18.0 <0.001 Procedures, % <0.001 Facial plastic surgery 48.4 48.4 47.8 Breast surgery 30.0 29.9 33.7 Abdominal contouring 9.2 9.2 9.3 Multiple procedures 12.4 12.5 9.2 1Comparison between smoking and non-smoking groups View Large Table 1. Description of Outpatient Plastic Surgery Sample (2009–2013) According to History of Smoking Overall Nonsmoker Smoker P-value1 Patients 214,761 204,335 10,426 - Age in years, mean 52.2 52.1 53.6 <0.001 Sex, % <0.001 Male 17.1 16.9 21.4 Female 81.2 81.4 77.6 Missing 1.7 1.7 1.1 Primary payer, % <0.001 Medicare 24.3 24.1 27.7 Medicaid 2.8 2.6 5.7 Private 30.5 30.0 40.3 Self-pay 42.4 43.2 26.4 Chronic medical conditions, % Cardiovascular diseases other than hypertension 2.9 2.3 13.6 <0.001 Hypertension 11.8 10.4 38.5 <0.001 Chronic respiratory disease 4.2 3.3 20.5 <0.001 Diabetes 3.8 3.4 13.0 <0.001 Obesity 3.5 2.9 10.9 <0.001 Hypothyroidism 3.3 3.0 12.6 <0.001 Mental health diagnoses 3.2 2.5 18.0 <0.001 Procedures, % <0.001 Facial plastic surgery 48.4 48.4 47.8 Breast surgery 30.0 29.9 33.7 Abdominal contouring 9.2 9.2 9.3 Multiple procedures 12.4 12.5 9.2 Overall Nonsmoker Smoker P-value1 Patients 214,761 204,335 10,426 - Age in years, mean 52.2 52.1 53.6 <0.001 Sex, % <0.001 Male 17.1 16.9 21.4 Female 81.2 81.4 77.6 Missing 1.7 1.7 1.1 Primary payer, % <0.001 Medicare 24.3 24.1 27.7 Medicaid 2.8 2.6 5.7 Private 30.5 30.0 40.3 Self-pay 42.4 43.2 26.4 Chronic medical conditions, % Cardiovascular diseases other than hypertension 2.9 2.3 13.6 <0.001 Hypertension 11.8 10.4 38.5 <0.001 Chronic respiratory disease 4.2 3.3 20.5 <0.001 Diabetes 3.8 3.4 13.0 <0.001 Obesity 3.5 2.9 10.9 <0.001 Hypothyroidism 3.3 3.0 12.6 <0.001 Mental health diagnoses 3.2 2.5 18.0 <0.001 Procedures, % <0.001 Facial plastic surgery 48.4 48.4 47.8 Breast surgery 30.0 29.9 33.7 Abdominal contouring 9.2 9.2 9.3 Multiple procedures 12.4 12.5 9.2 1Comparison between smoking and non-smoking groups View Large Description of Hospital-Based, Acute Care, and Serious Adverse Events From the overall sample, 7585 patients (3.5%) experienced 8841 hospital-based, acute care encounters within 30 days of discharge. Most encounters (N = 6350; 71.8%) were emergency department visits that did not result in subsequent hospital admission. For emergency department visits, postoperative infections and acute postoperative pain were the most common diagnoses. For hospital admissions (N = 2491; 28.2%), postoperative infections, hematoma, and pulmonary embolus were the most common diagnoses. During the initial surgical encounter or at a subsequent postdischarge encounter, 2000 patients (0.9%) experienced at least one serious adverse event. The majority of serious adverse events were related to surgical site infections (42.3%), postoperative bleeding (40.1%), and deep vein thromboses or pulmonary emboli (8.8%). The mean charge for an emergency department visit or hospital admission was $3929 (standard deviation, $5393) and $40,503 (standard deviation, $42,992), respectively. Observed 30-Day Outcomes and Charges In the unadjusted analysis, patients with a smoking history were more likely to have at least one hospital-based, acute care encounter (7.1% vs 3.4%, P < 0.001) or serious adverse event (2.2% vs 0.9%, P < 0.001) within 30 days of discharge (Table 2). This was consistent across procedure groups, where patients with a smoking history were more likely to have a hospital-based, acute care encounter within 30 days after facial plastic surgery (6.3% vs 2.5%, P < 0.001), breast surgery (7.5% vs 4.0%, P < 0.001), abdominal contouring (11.5% vs 5.5%, P < 0.001), or a combination of procedures (6.0% vs 3.6%, P =< 0.001). The higher frequency of postdischarge encounters contributed to higher charges across all individual procedure groups. For example, the difference in cumulative, 30-day charges for patients with a smoking history was highest among the cohort undergoing abdominal contouring ($11,362) and smallest among the cohort undergoing facial plastic surgery ($2875; Figure 1). Table 2. Outcomes According to History of Smoking Nonsmoker Smoker P-value Hospital-based acute care encounter within 30 days1 Percent 3.4 7.1 <0.001 Odds ratio Reference 1.36 [1.25–1.48] <0.001 Serious adverse events within 30 days1 Percent 0.9 2.2 <0.001 Odds ratio Reference 1.38 [1.18–1.60] <0.001 Total hospital-based, healthcare charges within 30 days of surgery (2015 $US)2 Unadjusted mean $10,873 $17,180 <0.001 Adjusted mean $10,112 $11,938 <0.001 Nonsmoker Smoker P-value Hospital-based acute care encounter within 30 days1 Percent 3.4 7.1 <0.001 Odds ratio Reference 1.36 [1.25–1.48] <0.001 Serious adverse events within 30 days1 Percent 0.9 2.2 <0.001 Odds ratio Reference 1.38 [1.18–1.60] <0.001 Total hospital-based, healthcare charges within 30 days of surgery (2015 $US)2 Unadjusted mean $10,873 $17,180 <0.001 Adjusted mean $10,112 $11,938 <0.001 1Adjusted for age, sex, primary payer, cardiovascular diseases other than hypertension, hypertension, chronic obstructive pulmonary disease, diabetes, hypothyroidism, mental health diagnoses, obesity, and type of procedure (facial, breast, abdominal contouring, multiple). 2Adjusted for the variables listed in footnote 1 and state where procedure was performed; analysis excludes California data where healthcare charges are not reported. View Large Table 2. Outcomes According to History of Smoking Nonsmoker Smoker P-value Hospital-based acute care encounter within 30 days1 Percent 3.4 7.1 <0.001 Odds ratio Reference 1.36 [1.25–1.48] <0.001 Serious adverse events within 30 days1 Percent 0.9 2.2 <0.001 Odds ratio Reference 1.38 [1.18–1.60] <0.001 Total hospital-based, healthcare charges within 30 days of surgery (2015 $US)2 Unadjusted mean $10,873 $17,180 <0.001 Adjusted mean $10,112 $11,938 <0.001 Nonsmoker Smoker P-value Hospital-based acute care encounter within 30 days1 Percent 3.4 7.1 <0.001 Odds ratio Reference 1.36 [1.25–1.48] <0.001 Serious adverse events within 30 days1 Percent 0.9 2.2 <0.001 Odds ratio Reference 1.38 [1.18–1.60] <0.001 Total hospital-based, healthcare charges within 30 days of surgery (2015 $US)2 Unadjusted mean $10,873 $17,180 <0.001 Adjusted mean $10,112 $11,938 <0.001 1Adjusted for age, sex, primary payer, cardiovascular diseases other than hypertension, hypertension, chronic obstructive pulmonary disease, diabetes, hypothyroidism, mental health diagnoses, obesity, and type of procedure (facial, breast, abdominal contouring, multiple). 2Adjusted for the variables listed in footnote 1 and state where procedure was performed; analysis excludes California data where healthcare charges are not reported. View Large Figure 1. View largeDownload slide Unadjusted healthcare charges (US$2015) within 30 days of outpatient plastic surgery stratified by procedure group and smoking history. All comparisons are significant (P < 0.001). Figure 1. View largeDownload slide Unadjusted healthcare charges (US$2015) within 30 days of outpatient plastic surgery stratified by procedure group and smoking history. All comparisons are significant (P < 0.001). Adjusted 30-Day Outcomes and Charges In the adjusted analysis, a smoking history remained independently associated with more frequent hospital-based, acute care encounters (OR = 1.36 [1.25-1.48]) and serious adverse events (OR = 1.38 [1.18-1.60]). However, the larger differences noted in the unadjusted analysis were partially attenuated by accounting for differences in the patient population (Table 2). Similar to the unadjusted analysis, patients with a smoking history experienced higher 30-day charges across all procedure groups (Figure 2). Figure 2. View largeDownload slide Adjusted healthcare charges (US$2015) within 30 days of outpatient plastic surgery stratified by procedure group and smoking history. All comparisons are significant (P < 0.001). Figure 2. View largeDownload slide Adjusted healthcare charges (US$2015) within 30 days of outpatient plastic surgery stratified by procedure group and smoking history. All comparisons are significant (P < 0.001). DISCUSSION Patients with a smoking history who undergo common elective facial cosmetic, breast, abdominal contouring, or a combination of these surgeries in the ambulatory setting are at higher risk for serious complications, and more frequently require hospital-based, acute care within 30 days of discharge than their nonsmoking peers. Most of these encounters were emergency department visits for wound infections and difficulty managing postoperative pain. Smoking was found to be associated with a similar complication profile as seen in nonsmokers, but at a higher rate. The only difference was a higher rate of bronchitis exacerbation in the smoking population. This increase in hospital-based, acute care utilization after discharge contributes to higher average healthcare charges among the smoking population within 30 days of surgery. While prior studies in the plastic surgery literature have described an increased incidence of postoperative complications among patients with a smoking history, the current study translates these findings into economic terms. We found that patients with a smoking history incurred cumulative healthcare charges that were, on average, $1826 per person higher than patients without a smoking history. This increase in overall charges is consistent across all procedures studied, and remains significant after controlling for medical comorbidities, regional differences, and patient demographics. Because patients undergoing elective plastic surgery are often “self-pay” or have private insurance, they may be exposed to some degree of financial responsibility associated with these additional encounters. Therefore, the results from the current study may serve two purposes: (1) to provide additional education and motivation for patients with a smoking history to be compliant with perioperative smoking cessation; and (2) to quantify the opportunity cost surgeons face if they operate electively on a smoker. Despite our understanding of the effects of smoking on surgical outcomes and the benefits of smoking cessation in the perioperative period, there is little standardization in the management of patients undergoing elective procedures who are current smokers. This may be attributed to physician attitudes regarding smoking, difficulty identifying patients who are current smokers, inconsistency in the literature regarding the optimal duration of abstinence preoperatively and postoperatively, and difficulty convincing or aiding patients to abstain from smoking. Though smoking is known to increase wound healing and infectious complications,22,23 the duration of cessation to gain maximum effect is unknown. Common practice is for surgical candidates to abstain from smoking for 4 weeks prior to surgery, as this has been shown to reduce infectious complications without increasing pulmonary complications.24-26 Therefore, we recommend at least four weeks of preoperative smoking cessation for any patient undergoing an elective cosmetic procedure in the outpatient setting. While smoking cessation should be encouraged, it is not always easy to identify patients who are active tobacco users. Approximately 26% of patients will deceptively self-report as nonsmokers or underreport the number of cigarettes smoked,27 and 75% of patients who report abstinence from tobacco will smoke in the preoperative period.6 Urine cotinine testing is a simple, inexpensive, and reliable method for identifying tobacco use in current smokers. Patients who are former smokers and those suspected of use should be urine cotinine tested at regular intervals leading up to surgery. Positive tests in patients undergoing procedures where a random pattern flap is created should have their surgeries delayed until they have stopped active use. Active smoking in the context of other procedures warrants individualized assessment and decision making. Acute postoperative pain was a common diagnosis for hospital-based acute care among patients with a history of smoking. This may be related to the complex, and poorly understood relationship that exists between smoking and pain. Acute nicotine exposure appears to have analgesic effects in human and animal models. However, chronic use mediates tolerance and causes hyperalgesia, which cessation does not appear to alleviate. It is hypothesized that nicotine exerts its effects through dopamine, opioid, serotonin, and acetylcholine receptors and the nucleus accumbens of the brain. Long-term smokers experience increased intensity and frequency of both chronic and acute pain, which leads to worse outcomes. Identifying current and former smokers preoperatively should prompt the use of multiple modalities such as long-acting local anesthetics, anti-inflammatories, GABA analogues, narcotics, and pain management referrals which could potentially reduce the frequency of emergency room utilization for pain control. Similarly, there are well documented and complex relationships between tobacco use and mental health diagnoses. Tobacco use and mental health diagnoses are known to coexist at high rates, and this combination may synergistically increase complication rates and healthcare utilization, although this was not specifically evaluated in the current study. The independent influence of mental health diagnoses on and healthcare utilization has been studied by Wimalawansa et al who noted a threefold increase in hospital-based acute care utilization among patients with mental health diagnoses.10 Patients who have a mental health diagnosis may interpret the postoperative setting differently; have difficulty complying with postoperative instructions; or lack the necessary social support to successfully navigate the postoperative period. All of these factors may contribute to higher rates of hospital-based acute care in this population. It is important to evaluate and address patients’ mental health issues, and tailor their preoperative counseling to help them better understand perioperative expectations and instructions. To the best of our knowledge, this is the first study to evaluate and quantify the increase in healthcare utilization and financial impacts of smoking in the ambulatory setting. However, this study is not without limitations. First, the identification of patients with a smoking history in administrative data can be challenging and associated ICD-9 codes likely have a high specificity and low sensitivity. For instance, when a history of smoking is coded, the patient likely has the diagnosis, however, the absence of a code does not exclude the diagnosis. Our results may underestimate the true incidence of smoking, potentially only capturing those who smoke heavily or who have smoking related complications such as chronic obstructive pulmonary disease (COPD) (as evidenced by a 20.5% incidence of COPD in our sample). It is unclear what the effects of more accurate identification of smoking status would be on our outcomes. Second, we have focused on the inpatient hospital and emergency department setting, as suits the available data. However, complications may occur which were treated in the surgeon’s office. Therefore, our results should be interpreted as the frequency of complications resulting in hospital-based, acute care. Finally, patients with a smoking history frequently have comorbid medical conditions, which can also contribute to more frequent postoperative complications. To this end, we have attempted to adjust for these competing comorbidities through regression analyses. CONCLUSIONS In conclusion, patients with a smoking history who undergo common outpatient plastic surgeries experience a higher incidence of serious complications and more frequently require hospital-based, acute care within 30-days of discharge which contribute to higher healthcare charges in the perioperative period. It is important that patients undergoing elective outpatient plastic surgery be advised of both the physical and financial consequences of smoking. We recommend smoking cessation a minimum of 4 weeks prior to surgery with urine cotinine testing at regular intervals preoperatively. We also recommend multimodality treatment of postoperative pain in the population of former smokers. The focus of future studies should be on the appropriate time frame of cessation to limit postoperative complications and the best pain management regimens to manage postoperative pain in current and former smokers. Supplementary Material This article contains supplementary material located online at www.aestheticsurgeryjournal.com. Disclosures The authors declared no potential conflicts of interest with respect to the research, authorship, and publication of this article. Funding The authors received no financial support for the research, authorship, and publication of this article. Disclaimers The views expressed in this article are those of the authors and do not reflect the official policy of the United States Air Force, Department of Defense, or the US Government. Presented at: the 2016 Annual Meeting of the American Association of Plastic Surgeons in New York, NY in May 2016; and the Annual Meeting of the Ohio Valley Society of Plastic Surgery in Dayton, OH in June 2016. REFERENCES 1. Rossi M , Pistelli F , Pesce M , et al. Impact of long-term exposure to cigarette smoking on skin microvascular function . Microvasc Res . 2014 ; 93 : 46 - 51 . 2. Krueger JK , Rohrich RJ . Clearing the smoke: the scientific rationale for tobacco abstention with plastic surgery . Plast Reconstr Surg . 2001 ; 108 ( 4 ): 1063 - 1073; discussion 1074 . 3. Rees TD , Liverett DM , Guy CL . The effect of cigarette smoking on skin-flap survival in the face lift patient . Plast Reconstr Surg . 1984 ; 73 ( 6 ): 911 - 915 . 4. Manassa EH , Hertl CH , Olbrisch RR . Wound healing problems in smokers and nonsmokers after 132 abdominoplasties . Plast Reconstr Surg . 2003 ; 111 ( 6 ): 2082 - 2087; discussion 2088 . 5. Bartsch RH , Weiss G , Kästenbauer T , et al. Crucial aspects of smoking in wound healing after breast reduction surgery . J Plast Reconstr Aesthet Surg . 2007 ; 60 ( 9 ): 1045 - 1049 . 6. Chan LK , Withey S , Butler PE . Smoking and wound healing problems in reduction mammaplasty: is the introduction of urine nicotine testing justified ? Ann Plast Surg . 2006 ; 56 ( 2 ): 111 - 115 . 7. Spear SL , Ducic I , Cuoco F , Hannan C . The effect of smoking on flap and donor-site complications in pedicled TRAM breast reconstruction . Plast Reconstr Surg . 2005 ; 116 ( 7 ): 1873 - 1880 . 8. Cosmetic surgery national data bank statistics . Aesthet Surg J . 2017 ; 37 ( suppl_2 ): 1 - 29 . 9. American Society of Plastic Surgeons . Plastic Surgery Statistics Report 2016 . 2016 . https://www.plasticsurgery.org/documents/News/Statistics/2016/plastic-surgery-statistics-full-report-2016.pdf. Accessed September 13, 2017. 10. Wimalawansa SM , Fox JP , Johnson RM . The measurable cost of complications for outpatient cosmetic surgery in patients with mental health diagnoses . Aesthet Surg J . 2014 ; 34 ( 2 ): 306 - 316 . 11. Hansen DG , Abbott LE , Johnson RM , Fox JP . Variation in hospital-based acute care within 30 days of outpatient plastic surgery . Plast Reconstr Surg . 2014 ; 134 ( 3 ): 370e - 378e . 12. Healthcare Cost and Utilization Project (HCUP) . State Ambulatory Surgery Database (SASD) . 2013 2008. http://www.hcup-us.ahrq.gov/sasdoverview.jsp. Accessed March 23, 2016. 13. Healthcare Cost and Utilization Project (HCUP) . State Emergency Department Database (SEDD) . 2013 2008. http://www.hcup-us.ahrq.gov/seddoverview.jsp. Accessed March 23, 2016. 14. Healthcare Cost and Utilization Project (HCUP) . State Inpatient Database (SID) . 2013 2008. http://www.hcup-us.ahrq.gov/sidoverview.jsp. Accessed March 23, 2016. 15. Healthcare Cost and Utilization Project (HCUP) . Overview of Healthcare Cost and Utilization Project . 2012 . http://www.hcup-us.ahrq.gov/overview.jsp. Accessed March 23, 2016.. 16. Wiley LK , Shah A , Xu H , Bush WS . ICD-9 tobacco use codes are effective identifiers of smoking status . J Am Med Inform Assoc . 2013 ; 20 ( 4 ): 652 - 658 . 17. Ghaferi AA , Birkmeyer JD , Dimick JB . Complications, failure to rescue, and mortality with major inpatient surgery in medicare patients . Ann Surg . 2009 ; 250 ( 6 ): 1029 - 1034 . 18. Iezzoni LI , Daley J , Heeren T , et al. Identifying complications of care using administrative data . Med Care . 1994 ; 32 ( 7 ): 700 - 715 . 19. Elixhauser A , Steiner C , Harris DR , Coffey RM . Comorbidity measures for use with administrative data . Med Care . 1998 ; 36 ( 1 ): 8 - 27 . 20. Quan H , Sundararajan V , Halfon P , et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data . Med Care . 2005 ; 43 ( 11 ): 1130 - 1139 . 21. Duan N . Smearing estimate: a nonparametric retransformation method . J Am Stat Assoc . 1983 ; 78 ( 383 ): 605 - 610 . 22. Sørensen LT . Wound healing and infection in surgery. The clinical impact of smoking and smoking cessation: a systematic review and meta-analysis . Arch Surg . 2012 ; 147 ( 4 ): 373 - 383 . 23. Møller AM , Villebro N , Pedersen T , Tønnesen H . Effect of preoperative smoking intervention on postoperative complications: a randomised clinical trial . 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Reprints and permission: [email protected] This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
The Art and Science of VacationingFACS, Foad Nahai, MD,
2018 Aesthetic Surgery Journal
doi: 10.1093/asj/sjy067pmid: 29534159
It is not unusual for a physician-in-training to assume that during those critical years of intensive education virtually every other aspect of his or her life must be held in abeyance. Experience has shown us, however, that this expectation can be fraught with danger both in the short- and long-term, sometimes having a permanent impact on an individual’s later ability to achieve a healthy and satisfying work-life balance. A recent poll of over 2000 practicing physicians found that 54% of those surveyed consider themselves workaholics1 or, as defined by Merriam-Webster, compulsive workers.2 The percentage of workaholics in the general population is estimated to be about 30%.3 It has been argued that, because of the expectations placed upon physicians throughout our training, we are particularly prone to becoming “workaholic perfectionists,” and that this mentality is a prescription for physician burnout.4 Most if not all of us were trained to be tough. Those of a certain era were required to withstand the rigors of a virtually limitless on-call schedule and never complain. But as we have discussed in previous articles and editorials,4,5 modern medical practice subjects us more than ever before to the perils of burnout. While a variety of strategies are necessary to combat this trend, one that should not be overlooked is periodic vacations from work, whether in the form of recreational activities, travel, or simply “time off.” All of us have stress in our lives, even if we tell ourselves that we don’t. Chronic stress can affect health on many different levels, often contributing to anxiety and depression, problems with memory, poor digestion, and impaired sleep. Vacations are a proven method of breaking the stress cycle.6 They also assist personal and social development by broadening learning opportunities and improving family relationships through what is termed crescive bonding, or shared experience. An active vacation that offers new challenges is likely to be most beneficial.7 Yet, despite the consensus that vacations are important to mental and physical health, many of us seem to regard them as nonessential. Some, even those who are self-employed, feel guilty about taking time off from work. Physicians are not alone when it comes to failing to make vacation time a priority. The average American worker is entitled to 13 vacation days annually, but 34% don’t use a single vacation day during the year. Even among those who do take a vacation, 30% report an inability to relax due to worrying about their work.3 With the proliferation of mobile communication devices, many people find it impossible to totally separate themselves from their work environment even for a few days. Yet taking a break from work can be a very positive thing for you and your practice, if you adequately prepare for it. Taking a vacation may be somewhat more difficult for a solo practitioner than for a physician in a group practice, but it is no less essential. Additionally, those who are new in practice may find it more challenging to coordinate all the “moving parts” that must continue to seamlessly function in their absence. As a plastic surgeon who spends some time traveling internationally, I feel that I’ve mastered the art and science of vacationing, or more accurately, being away from the office. Granted, a great deal of my travel is work-related, such as for education and in my role as Editor-in-Chief of Aesthetic Surgery Journal, but that doesn’t stop me from using such opportunities to decompress from the day-to-day stresses of a busy aesthetic practice. One of the most essential things I do before every extended absence from my practice is to clearly communicate my travel plans to all staff and to current or prospective patients. Any patient considering a surgical date that falls immediately before my departure is immediately informed by my patient coordinator that I will be leaving town that evening or the next morning, giving my patient the option to select a different date. (Interestingly, I can remember only one patient choosing to reschedule.) On the day of surgery, I again confirm with the patient that he or she knows my travel plans and that, if it is a trip abroad, I would be unable to return in case of an emergency. I provide the name of the partner who will be available in the rare event of a problem, and I always try to introduce that doctor to my patient. I am fortunate to have partners in whom I have complete confidence, all of whom have an excellent bedside manner. If you are in solo practice, you will need to establish some type of reciprocal arrangement with another surgeon in your locale; make sure it is someone with whom you are well acquainted. If I feel that a particular patient may be difficult to manage postoperatively, either for physiological or psychological reasons, I make every effort to schedule that individual’s surgery for a time when I am personally available for emergency or follow-up care. Even when I have made arrangements for someone to look after my patients, I choose to stay informed of any untoward events. I tell my partners that I always want to know if they were called upon to attend one of my patients, regardless of the time of day or night and wherever in the world I might be. If necessary, I will place a call to the patient myself. In general, though, I believe it is important when traveling on business or vacation to set boundaries to direct patient communication. There should be personnel available at the office who are fully capable of handling patient questions and minor problems. If you do not have that level of confidence in your staff, then you undoubtedly need to make a few changes, not only for the sake of being able to take a vacation but because it indicates your practice is not functioning at the highest level. There is always a financial impact to going on vacation, not just the cost of the trip but the lost income. You will enjoy yourself more on vacation if you plan for this in advance.8 Patients sometimes laugh when I say that as a plastic surgeon I am a journeyman jobber, which is to say that if I’m not working with my hands, I’m not making any money. But isn’t it true? When I’m out of the office for an extended period, I have no money coming in, but I still must pay my staff and keep up with my ongoing practice expenses. Factor in, too, that I may need to slow down the practice at least a little bit during the week or few days before my departure, and when I get back it may take some time before things pick up to full speed. If the financial loss involved in taking a longer vacation is too much of a burden, you might consider the strategy of taking shorter but more frequent vacations, maybe three-day weekends at times when your practice tends to be slow anyway. Obviously, international travel does not accommodate itself to that kind of a schedule, but if you enjoy hiking or skiing or any number of other leisure activities that are good stress-reducers, getting away somewhere for even a few days at a time can be refreshing and impact positively on your productivity after you return. Technology, as I mentioned earlier, is both a blessing and a curse when on vacation. I have had countless experiences traveling or visiting with other doctors who are purportedly “on vacation” but can’t seem to separate themselves from their cell phone or computer. Much to my family’s chagrin, I happen to be one myself. It may be a good idea to establish a policy for exactly when you will check email and voicemail while you are away, and convey that policy to relevant staff so they will know when to expect return communication from you. You may also want to define or set limitations on the types of information you wish to receive while away.8 On the other hand, if you are the kind of person who dreads coming home to hundreds of messages waiting in your inbox, then you may feel less stressed if you allow yourself enough “tech time” every day to clear away the worst of your email before you get home.7 Most of us are fortunate enough to be able to afford a vacation, and we know it would be good for us to take some time off. But if you’re still hesitating, here are a couple of additional benefits to consider. 1) You could live longer. The Framingham Heart Study suggests that women who vacation the least are nearly 8 times more likely to experience heart problems such as heart attacks and death from heart disease compared to women who vacation at least biannually. 2) You might improve your love life. According to a Nielsen survey, 80% of people who vacation every year report being satisfied with their romantic life compared to only 56% of those who forego vacationing.9 While the Nielsen survey might not stand up to scientific scrutiny, nevertheless it makes a good point. A special vacation taken with a loved one often becomes a cherished life-long memory. And, when you think about it, what could be more important than that? Disclosures The author declared no potential conflicts of interest with respect to the research, authorship, and publication of this article. Funding The author received no financial support for the research, authorship, and publication of this article. REFERENCES 1. Sermo Physician Poll . Are doctors workaholics? December 2014. http://blog.sermo.com/2014/12/15/doctors-workaholics. Accessed February 26, 2018 . PubMed PubMed 2. Merriam-Webster . https://www.merriam-webster.com/dictionary/workaholic. Accessed February 26, 2018 . 3. Gaille B. 23 significant workaholic statistics . May 23, 2017. https://brandongaille.com/21-significant-workaholic-statistics. Accessed February 28, 2018 . 4. Prendergast C , Ketteler E , Evans G . Burnout in the plastic surgeon: implications and interventions . Aesthet Surg J . 2017 ; 37 ( 3 ): 363 - 368 . 5. Nahai F . When love is not enough . Aesthet Surg J . 2017 ; 37 ( 3 ): 372 - 374 . 6. Joudrey AD , Wallace JE . Leisure as a coping resource: a test of the job demand-control-support model . Human Relations . 2009 ; 62 : 195 - 217 . 7. Whitbourne SK . The importance of vacations to our physical and mental health . Psychology Today . June 22, 2010. https://www.psychologytoday.com/blog/fulfillment- any-age/201006/the-importance-vacations-our-physical-and-mental-health. Accessed February 28, 2018 . 8. Loria G . 5 rules for taking a vacation as a solo-practice doctor . Software Advice ; 2012 . https://www.softwareadvice.com/resources/5-rules-for-taking-a-vacation-as-a-solo-practice-doctor. Accessed February 28, 2018 . 9. Lewton S. 5 health benefits of taking a vacation . https://www.simplemost.com/5-health-benefits-taking-vacation. Accessed February 27, 2018 . © 2018 The American Society for Aesthetic Plastic Surgery, Inc. Reprints and permission: [email protected] This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
Response to “Was There Bias in Writing This Paper?”FACS, Clark Schierle, MD, PhD,
2018 Aesthetic Surgery Journal
doi: 10.1093/asj/sjy121pmid: 29868773
My fellow authors and I wish to thank you for your thorough reading of our paper and thoughtful comments.1 We apologize for any confusion on the nomenclature used between the text and tables in the paper.2 We verified board certification for the authors of the posts analyzed and compared those with board certification to those who were providing cosmetic surgery despite not holding board certification in plastic surgery. In the United States, board certification by an American Board of Medical Specialties affiliated certifying is generally recognized as the gold standard for most specialties and used by most hospitals, insurance companies, and other legal entities as a recognized way of delineating the scope of practice and expertise for physicians. Our paper does not seek to prove or disprove the validity of this belief, but rather to draw attention to the fact that the vast majority of cosmetic surgery-related content on Instagram is not being put forth by board certified plastic surgeons. We published this finding in the Aesthetic Surgery Journal, the official publication of the American Society for Aesthetic Plastic Surgery. As a condition of membership in our society, American plastic surgeons must obtain and maintain board certification in plastic surgery from the ABPS. As such, in reporting our findings to the Journal, this would seem to be a reasonable delineation that has been agreed upon by the readers of our Journal and the Society it represents. I thank you once again for your thoughtful feedback. Disclosures The author declared no potential conflicts of interest with respect to the research, authorship, and publication of this article. Funding The author received no financial support for the research, authorship, and publication of this article. REFERENCES 1. Çağıcı CA . Was there bias in writing this paper ? Aesthet Surg J . 2018 ; 38 ( 8 ): NP124 - NP125 . 2. Dorfman RG , Vaca EE , Mahmood E , Fine NA , Schierle CF . Plastic surgery-related hashtag utilization on Instagram: implications for education and marketing . Aesthet Surg J . 2018 ; 38 ( 3 ): 332 - 338 . © 2018 The American Society for Aesthetic Plastic Surgery, Inc. Reprints and permission: [email protected] This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
Response to “Comments on ‘Plastic Surgery-Related Hashtag Utilization on Instagram: Implications for Education and Marketing’”FACS, Clark Schierle, MD, PhD,
2018 Aesthetic Surgery Journal
doi: 10.1093/asj/sjy120pmid: 29878080
My fellow authors and I sincerely thank you for your thoughtful feedback.1 The impact of dermatology as a specialty on aesthetic procedural medicine is undeniable. In plastic surgery, we have learned much from our dermatologist colleagues with expertise in aesthetic procedures. Myriad skin care treatments and products developed by or in conjunction with dermatologists are employed in our medical spa daily to enhance and complement our surgical practice. Countless contributions have been made to our understanding of the response of aging skin to light, energy, and chemical-based resurfacing and rejuvenating treatments by dermatologists. The contribution of dermatologists to the evolution and refinement of suction-assisted lipectomy, including the use of wetting solution, are well documented. We deeply regret the implication of the wording used in our paper, which greatly oversimplified and summarized an overall sense that, as I am sure you will agree, the marketing of larger, more invasive cosmetic surgical procedures such as abdominoplasty and breast augmentation would fall reasonably out of the scope of practice encompassed by ACGME accredited residency training in dermatology.2 Our data did not provide that level of detail and clarity on this particular point but was meant to draw attention to the overall sense that the vast majority of content on Instagram was being put forth by American Board of Plastic Surgery board-certified physicians. I thank you again for your thoughtful reading of our paper and your valuable feedback. Disclosures The author declared no potential conflicts of interest with respect to the research, authorship, and publication of this article. Funding The author received no financial support for the research, authorship, and publication of this article. REFERENCES 1. Lim HW . Comments on “Plastic surgery-related hashtag utilization on Instagram: implications for education and marketing.” Aesthet Surg J . 2018 ; 38 ( 8 ): NP121 - NP122 . 2. Dorfman RG , Vaca EE , Mahmood E , Fine NA , Schierle CF . Plastic surgery-related hashtag utilization on instagram: implications for education and marketing . Aesthet Surg J . 2018 ; 38 ( 3 ): 332 - 338 . © 2018 The American Society for Aesthetic Plastic Surgery, Inc. Reprints and permission: [email protected] This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
Commentary on: The Ideal Thigh: A Crowdsourcing-Based Assessment of Ideal Thigh Aesthetic and Implications for Gluteal Fat GraftingFACS, Al Aly, MD,
2018 Aesthetic Surgery Journal
doi: 10.1093/asj/sjx242pmid: 29365046
In 2012 I wrote an editorial in this journal outlining what is known about attractiveness and beauty in the field of evolutionary psychology with the intent of suggesting an outline for developing objective means of judging aesthetic surgery results.1 It was also written with the hope of stimulating others to begin working towards this goal. It is very exciting to see the article discussed here because it does just that. The authors of this article endeavoured to determine the ideal relationship of the thighs to the buttocks, with the intent of giving the reader guidelines to use when augmenting the buttocks with fat.2 Two views of the buttocks were utilized: posterior and lateral. The buttocks’ dimensions were not changed in either view. Superior thigh width was digitally varied in the posterior view and the anterior-posterior dimension was varied in the lateral view. Overall, they concluded that on posterior view, the greater the width of the upper thigh the more attractive observers found the combination. This is obviously relevant to plastic surgeons injecting fat into the buttocks. The lateral view results were not decisive and the authors accordingly could not draw definitive conclusions. I would like to take the opportunity of my discussion to delve into the process of quantitatively assessing aesthetic surgery results as well as understanding some of the difficulties that can be encountered. To objectively judge the result of a surgical procedure one must have a “yardstick” to compare the result to.1 In aesthetic surgery a “yardstick” is often missing thus leaving one to judge the result based on personal opinion. So how do we go about determining these “yardsticks”? Evolutionary psychology studies have demonstrated that humans, as well as all other species, are “koinophiles,” which means we are “lovers of average.”3-5 The term “average” here should not be misinterpreted to mean “ordinary.” What it means in this context is that individuals with anatomy that approximates the “average” for a population will be perceived as more attractive. For example if the average interpupillary distance for a population is “X,” then individuals with a distance that is at, or near, this value will be found to be more attractive than individuals that possess distances that greatly diverge from that average. Historically, determining anatomic averages was lengthy and difficult,6 but recent advances in technology have eased this process tremendously through commercially available software. After determining the “average” anatomy, which can be thought of as the sought after “yardstick,” the next step is authenticating its attractiveness. This is similar to validating medical surveys/questionnaires, such as depression assessment scales, before they can be utilized clinically. This validation process is accomplished by surveying a large, and appropriately chosen, population. To that end, “crowdsourcing,” which was utilized in this study, is the ideal tool.7 Crowdsourcing, a fairly new internet-based tool, utilizes the opinion of a large number of people, or the “collective opinion of the many,” to determine the answers to questions put to them. Most studies in plastic surgery where the opinion of a group of people is solicited are limited by the relatively small number of participants that can be included and secondly by an inability of extrapolating the results acquired from a restricted set of participants to those of the general population. For example, choosing a group of medical students to rate digital images may or may not represent the opinions of the general population. Crowdsourcing solves both of these problems because the number of people utilized in the study can be as large as needed and the particular population that needs to be sampled can be specified. Thus based on the above, and the study that we are discussing here, I would like to share with the reader a potential framework to objectively judge the result of an aesthetic surgery procedure: Determination of a “Yardstick” The first step is to determine the “yardstick” to judge the results against. This is accomplished by delineating the “average” anatomy of the population that the patient belongs to, which in the case of this study would be “young normal-weight North American Caucasian females.” Therefore, photographs are collected from the chosen population and averaged by any of a variety of averaging software. The averaged image thus becomes the potential “yardstick.” In the case of the patient population that the authors studied, young normal-weight North American Caucasian females, it is likely that the determined yardstick may be similar to the one that was found most attractive in this study, ie, thigh width is the same as the width of the buttocks, in the posterior view. However, if the patient to be injected with fat belongs to a different population then the yardstick must be determined from the group that the patient belongs to. Accordingly, different groups such as middle easterners, blacks, Latinos, Asians, etc., will most likely have different yardsticks that must be determined for them. This is further complicated by the fact that humans are “cognitive averagers,” which means that we continuously average the anatomy that we see over time, and therefore our yardsticks also change over time and are influenced by factors such as the media and internet.3-5 Therefore, yardsticks will need to be developed for many different groups and they will need to be revised periodically and continuously. This may seem like a daunting problem, but with ever-advancing technologies, it is definitely possible and needed. It is noteworthy that the lateral view component of this study did not produce definitive results, as did the posterior view. It is not clear why this is, but it is likely that certain anatomic regions and/or relationships are more important than others in the perception of attractiveness based on evolutionary pressures. For example, in perceiving lateral nasal profile there are two angles to discern; the nasofrontal and nasolabial angles. It is probable that both of these angles are important to the attractiveness of a nose, but that one is more important than the other. To my knowledge no studies have been performed to answer this question, but I would guess, and for the purposes of this discussion, let us assume, it is the nasolabial angle that is more important. If a crowdsourcing experiment is performed with an attractive nasolabial angle held constant and the nasofrontal angle varied, there may not be a clear preference for a particular nasofrontal angle. In the study performed by the authors, it is probable that the more important anatomic region in the lateral view of the buttocks is the relationship between the lower back to the buttock, which is commonly known as the lordotic curve, maybe because it infers an evolutionary advantage, where as the relationship of the thigh to the buttock does not. If this theory is correct, then the attractive lordotic curve dominates the perception of the region, leading to a less distinct preference of the buttock/thigh relationship. Thus it is going to be essential that when determining “yardsticks” that we discover the important and relevant relationships to measure and study. Another problem is how does one find the right population to average and then convince them to participate? I believe one option is use crowdsourcing to accomplish this task, but currently this maybe difficult with certain areas of the body. It is also possible for plastic surgery societies, such as the American Society for Aesthetic Plastic Surgery, to ask its membership to contribute photographs on an on going basis of different areas of the body and eventually supply “yardsticks” of different origin to the membership to utilize. Validation of the “Yardstick” The second step is to validate the determined “yardstick.” To accomplish this, a protocol utilizing crowdsourcing, similar to the one utilized by the authors of this study, would be employed to make sure that the delineated “yardstick” is the preferred anatomy. In this study the authors made an educated guess of potential “yardsticks” based on their experience and then validated the best option through crowdsourcing. Compare Final Result to “Yardstick” The third step is to compare the final result attained after surgical manipulation to the validated “yardstick.” If the final result has changed the patient’s preoperative anatomy such that it is closer to the “yardstick,” then the surgery can be judged to have objectively improved that patient. Conversely, if there is a change but it does not better approximate the “yardstick,” then the surgical manipulation can be objectively judged not to necessarily have improved the patient. Utilize “Yardsticks” as a Guide to Surgery Once steps 1, 2, and 3 above are accomplished for a particular anatomic region, the determined “yardstick” can be used prior to surgery, rather than just after surgery, to help guide the plastic surgeon’s goals, obviously with the interaction and consent of the patient. In conclusion, although it is clear that plastic surgery is new to the type of research utilized in this paper, and there is a great deal of work that needs to be done, especially in the creation of “yardsticks,” I am very excited to see the beginning of a new era where aesthetic surgery results are created and judged based on verifiable science. I believe this should revolutionize how aesthetic plastic surgery is practiced. Disclosures The author declared no potential conflicts of interest with respect to the research, authorship, and publication of this article. Funding The author received no financial support for the research, authorship, and publication of this article. REFERENCES 1. Aly A , Tolazzi A , Soliman S , Cram A . Quantitative analysis of aesthetic results: introducing a new paradigm . Aesthet Surg J . 2012 ; 32 ( 1 ): 120 - 124 . 2. Vartanian E , Gould DJ , Hammoudeh ZS , Azadgoli B , Stevens WG , Macias LH . The ideal thigh: a crowdsourcing-based assessment of ideal thigh aesthetic and implications for gluteal fat grafting. Aesthet Surg J. 2018 ; 38 ( 8 ): 861 - 869 . 3. Langlois JH , Roggman LA . Attractive faces are only average . Psychol Sci . 1990 ; 1 ( 2 ): 115 - 121 . 4. Koeslag JH . Koinophilia groups sexual creatures into species, promotes stasis, and stabilizes social behaviour . J Theor Biol . 1990 ; 144 ( 1 ): 15 - 35 . 5. Lemley B . Do You Love This Face?http://discovermagazine.com/2000/feb/cover. Accecssed November 13, 2017 . 6. Galton F . Composite portraits . J Anthropol Inst Great Britain Ireland . 1878 ; 8 : 132 - 142 . 7. Tse RW , Oh E , Gruss JS , Hopper RA , Birgfeld CB . Crowdsourcing as a novel method to evaluate aesthetic outcomes of treatment for unilateral cleft lip . Plast Reconstr Surg . 2016 ; 138 ( 4 ): 864 - 874 . © 2018 The American Society for Aesthetic Plastic Surgery, Inc. Reprints and permission: [email protected] This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)