Predicting morbidity of liver resection

Predicting morbidity of liver resection Purpose Multiple models have attempted to predict morbidity of liver resection (LR). This study aims to determine the efficacy of American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) surgical risk calculator and the Physiological and Operative Severity Score in the enUmeration of Mortality and Morbidity (POSSUM) in predicting post- operative morbidity in patients who underwent LR. Methods A retrospective analysis was conducted on patients who underwent elective LR. Morbidity risk was calculated with the ACS-NSQIP surgical risk calculator and POSSUM equation. Two models were then constructed for both ACS-NSQIP and POSSUM—(1) the original risk probabilities from each scoring system and (2) a model derived from logistic regression of variables. Discrimination, calibration, and overall performance for ACS-NSQIP and POSSUM were compared. Sub-group analysis was performed for both primary and secondary liver malignancies. Results Two hundred forty-five patients underwent LR. Two hundred twenty-three (91%) had malignant liver pathologies. The post-operative morbidity, 90-day mortality, and 30-day mortality rate were 38.3%, 3.7%, and 2.4% respectively. ACS-NSQIP showed superior discriminative ability, calibration, and performance to POSSUM (p = 0.03). Hosmer-Lemeshow plot demon- strated better fit of the ACS-NSQIP model than POSSUM in predicting morbidity. Conclusion In patients undergoing LR, the ACS-NSQIP surgical http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Langenbeck's Archives of Surgery Springer Journals

Predicting morbidity of liver resection

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Medicine & Public Health; General Surgery; Abdominal Surgery; Cardiac Surgery; Thoracic Surgery; Traumatic Surgery; Vascular Surgery
ISSN
1435-2443
eISSN
1435-2451
D.O.I.
10.1007/s00423-018-1656-3
Publisher site
See Article on Publisher Site

Abstract

Purpose Multiple models have attempted to predict morbidity of liver resection (LR). This study aims to determine the efficacy of American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) surgical risk calculator and the Physiological and Operative Severity Score in the enUmeration of Mortality and Morbidity (POSSUM) in predicting post- operative morbidity in patients who underwent LR. Methods A retrospective analysis was conducted on patients who underwent elective LR. Morbidity risk was calculated with the ACS-NSQIP surgical risk calculator and POSSUM equation. Two models were then constructed for both ACS-NSQIP and POSSUM—(1) the original risk probabilities from each scoring system and (2) a model derived from logistic regression of variables. Discrimination, calibration, and overall performance for ACS-NSQIP and POSSUM were compared. Sub-group analysis was performed for both primary and secondary liver malignancies. Results Two hundred forty-five patients underwent LR. Two hundred twenty-three (91%) had malignant liver pathologies. The post-operative morbidity, 90-day mortality, and 30-day mortality rate were 38.3%, 3.7%, and 2.4% respectively. ACS-NSQIP showed superior discriminative ability, calibration, and performance to POSSUM (p = 0.03). Hosmer-Lemeshow plot demon- strated better fit of the ACS-NSQIP model than POSSUM in predicting morbidity. Conclusion In patients undergoing LR, the ACS-NSQIP surgical

Journal

Langenbeck's Archives of Surgery – Springer Journals

Published: Feb 7, 2018

References

  • Short- and long-term outcomes after laparoscopic and open hepatic resection: systematic review and meta-analysis
    Mirnezami, R; Mirnezami, A; Chandrakumaran, K; Abu Hilal, M; Pearce, N; Primrose, J
  • Outcomes of repeat laparoscopic liver resection compared to the primary resection
    Shelat, V; Serin, K; Samim, M; Besselink, M; Saati, H; Gioia, P
  • Pure laparoscopic liver resection for large malignant tumors: does size matter?
    Shelat, V; Cipriani, F; Basseres, T; Armstrong, T; Takhar, A; Pearce, N
  • Trends in morbidity and mortality of hepatic resection for malignancy. A matched comparative analysis
    Tsao, J; Loftus, J; Nagorney, D; Adson, M; Ilstrup, D
  • Management of post-hepatectomy complications
    Jin, S
  • Failure to rescue as a source of variation in hospital mortality after hepatic surgery
    Spolverato, G; Ejaz, A; Hyder, O; Kim, Y; Pawlik, T
  • Do cancer centers designated by the National Cancer Institute have better surgical outcomes?
    Birkmeyer, N; Goodney, P; Stukel, T; Hillner, B; Birkmeyer, J
  • Hospital costs and length of hospital stay for hepatectomy in patients with hepatocellular carcinoma: results of a prospective case series
    Zhu, L; Li, J; Dong, X; Liu, X; Bao, Z; Feng, J; Yu, Y; Zhang, Y; Wang, Z; Wang, Z
  • Factors for prolonged length of stay after elective hepatectomy for hepatocellular carcinoma. The surgeon’s role in the managed care era
    Hsia, CY; Chau, GY; King, KL; Loong, CC; Lui, WY; Wu, CW
  • POSSUM: a scoring system for surgical audit
    Copeland, G; Jones, D; Walters, M
  • A systematic review of the Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity and its Portsmouth modification as predictors of post-operative morbidity and mortality in patients undergoing pancreatic surgery
    Wang, H; Chen, T; Wang, H; Song, Y; Li, X; Wang, J
  • A systematic review of POSSUM and its related models as predictors of post-operative mortality and morbidity in patients undergoing surgery for colorectal cancer
    Richards, C; Leitch, F; Horgan, P; McMillan, D
  • POSSUM and its related models as predictors of postoperative mortality and morbidity in patients undergoing surgery for gastro-oesophageal cancer: a systematic review
    Dutta, S; Horgan, P; McMillan, D
  • POSSUM and P-POSSUM as predictors of postoperative morbidity and mortality in patients undergoing hepato-biliary-pancreatic surgery: a meta-analysis
    Chen, T; Wang, H; Wang, H; Song, Y; Li, X; Wang, J
  • Predictive indices of morbidity and mortality after liver resection
    Schroeder, R; Marroquin, C; Bute, B; Khuri, S; Henderson, W; Kuo, P
  • Validation of the Estimation of Physiologic Ability and Surgical Stress (E-PASS) score in liver surgery
    Banz, V; Studer, P; Inderbitzin, D; Candinas, D
  • Five year experience in management of perforated peptic ulcer and validation of common mortality risk prediction models—are existing models sufficient? A retrospective cohort study
    Anbalakan, K; Chua, D; Pandya, G; Shelat, V
  • Risk calculators—methods, development, implementation, and validation
    Mansmann, U; Rieger, A; Strahwald, B; Crispin, A
  • Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons
    Bilimoria, K; Liu, Y; Paruch, J; Zhou, L; Kmiecik, T; Ko, C
  • Can the American College of Surgeons risk calculator predict 30-day complications after knee and hip arthroplasty?
    Edelstein, A; Kwasny, M; Suleiman, L; Khakhkhar, R; Moore, M; Beal, M
  • Evaluation of the performance of the ACS NSQIP surgical risk calculator in gynecologic oncology patients undergoing laparotomy
    Rivard, C; Nahum, R; Slagle, E; Duininck, M; Isaksson Vogel, R; Teoh, D
  • Is the American College of Surgeons National Surgical Quality Improvement Program surgical risk calculator applicable for breast cancer patients undergoing breast-conserving surgery?
    Lyle, B; Landercasper, J; Johnson, J; Al-Hamadani, M; Vang, C; Groshek, J
  • Validation of the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) risk calculator to estimate serious complications in patients undergoing major gastrointestinal oncologic resection
    Ford, J; Coughlin, K; Dorp, D; Berri, R
  • Accuracy of the NSQIP universal risk calculator using a vascular surgery cohort in a community teaching hospital
    Yahya, M; Blackwood, S; Kontonicolas, F; McGregor, A; Fukumoto, R; Dietzek, A
  • The impact of chronic liver disease on the risk assessment of ACS NSQIP morbidity and mortality after hepatic resection
    Zaydfudim, V; Kerwin, M; Turrentine, F; Bauer, T; Adams, R; Stukenborg, G
  • Clinical review: how to identify high-risk surgical patients
    Older, P; Hall, A
  • Evaluation of preoperative hepatic function in patients with hepatocellular carcinoma undergoing hepatectomy
    Lau, H; Man, K; Fan, S; Yu, W; Lo, C; Wong, J
  • Pretreatment assessment of hepatocellular carcinoma: expert consensus statement
    Vauthey, J; Dixon, E; Abdalla, E; Helton, W; Pawlik, T; Taouli, B
  • Terminology of liver anatomy and resections
  • Classification of surgical complications
    Dindo, D; Demartines, N; Clavien, P
  • Diagnostic accuracy and receiver-operating characteristics curve analysis in surgical research and decision making
    Søreide, K; Kørner, H; Søreide, J
  • An exploratory technique for investigating large quantities of categorical data
    Kass, G
  • Anatomic segmental resection compared to major hepatectomy in the treatment of liver neoplasms
    Helling, T; Blondeau, B
  • A comparison of right and extended right hepatectomy with all other hepatic resections for colorectal liver metastases: a ten-year study
    Karanjia, N; Lordan, J; Quiney, N; Fawcett, W; Worthington, T; Remington, J
  • ACS-NSQIP has the potential to create an HPB-NSQIP option
    Pitt, H; Kilbane, M; Strasberg, S; Pawlik, T; Dixon, E; Zyromski, N
  • POSSUM and P-POSSUM overpredict mortality for carotid endarterectomy
    Kuhan, G; Abidia, A; Wijesinghe, L; Chetter, I; Johnson, B; Wilkinson, A
  • POSSUM and Portsmouth POSSUM for predicting mortality
    Prytherch; Whiteley; Higgins; Weaver; Prout; Powell
  • Predicting post-operative mortality in patients undergoing colorectal surgery using P-POSSUM and CR-POSSUM scores: a prospective study
    Leung, E; Ferjani, A; Stellard, N; Wong, L
  • Comparison of P-POSSUM and O-POSSUM in predicting mortality after oesophagogastric resections
    Nagabhushan, J; Srinath, S; Weir, F; Angerson, W; Sugden, B; Morran, C
  • Risk prediction accuracy differs for emergency versus elective cases in the ACS-NSQIP
    Hyder, J; Reznor, G; Wakeam, E; Nguyen, L; Lipsitz, S; Havens, J
  • A NSQIP review of major morbidity and mortality of synchronous liver resection for colorectal metastasis stratified by extent of liver resection and type of colorectal resection
    Shubert, C; Habermann, E; Bergquist, J; Thiels, C; Thomsen, K; Kremers, W
  • Predicting postoperative morbidity by clinical assessment
    Markus, P; Martell, J; Leister, I; Horstmann, O; Brinker, J; Becker, H
  • Accuracy of the surgeons’ clinical prediction of perioperative complications using a visual analog scale
    Woodfield, J; Pettigrew, R; Plank, L; Landmann, M; Rij, A
  • Evaluating surgical risk: the importance of technical factors in determining outcome
    Pettigrew, R; Burns, H; Carter, D
  • Indicators of surgical risk and clinical judgement
    Pettigrew, R; Hill, G

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