doi: 10.1001/archinte.1997.00440340014001pmid: N/A
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doi: 10.1001/archinte.1997.00440340014001pmid: N/A
This article is only available in the PDF format. Download the PDF to view the article, as well as its associated figures and tables.
Dinneen, Sean F.;Gerstein, Hertzel C.
doi: 10.1001/archinte.1997.00440340025002pmid: N/A
Abstract Objectives: To critically analyze the literature linking microalbuminuria with total and cardiovascular mortality and cardiovascular morbidity in non—insulin— dependent diabetes mellitus (NIDDM) and to quantify the risk. Methods: A combination of retrieval techniques (MEDLINE, SCISEARCH, and handsearching published bibliographies) was used to find all relevant articles based on title and abstract and "Methods" sections. Unpublished data on albumin excretion rate were sought from large NIDDM cohort studies. Results: A total of 264 citations were retrieved, of which 11 cohort studies were selected for inclusion in the overview, representing a total of 2138 patients followed up for a mean of 6.4 years. Patient age was similar across cohorts. Duration of NIDDM ranged from newly diagnosed to 13 years. The prevalence of microalbuminuria ranged from 20% to 36% in the 8 cohorts that excluded patients with clinical proteinuria. All studies reported either a trend or a significant association between microalbuminuria and total mortality or cardiovascular morbidity or mortality; the overall odds ratio for death was 2.4 (95% confidence interval, 1.8-3.1) and for cardiovascular morbidity or mortality, 2.0 (95% confidence interval, 1.4-2.7). We found no evidence of reporting bias. Conclusion: Microalbuminuria is a strong predictor of total and cardiovascular mortality and cardiovascular morbidity in patients with NIDDM.Arch Intern Med. 1997;157:1413-1418 References 1. Mogensen CE, Chachati A, Christensen CK, et al. Microalbuminuria: an early marker of renal involvement in diabetes . Uremia Invest. 1985-1986; 9:85-95. 2. Mogensen CE, Damsgaard EM, Froland A, Nielsen S, de Fine Olivarius N, Schmitz A. Microalbuminuria in non-insulin dependent diabetes . Clin Nephrol. 1992;38:528-538. 3. Alzaid AA. Microalbuminuria in patients with NIDDM: an overview . Diabetes Care. 1996;19:79-89.Crossref 4. Bennett PH, Haffner S, Kasiske BL, et al. Screening and management of microalbuminuria in patients with diabetes mellitus: recommendations to the Scientific Advisory Board of the National Kidney Foundation from an ad hoc committee of the Council on Diabetes Mellitus of the National Kidney Foundation . Am J Kidney Dis. 1995;25:107-112.Crossref 5. Mogensen CE. Microalbuminuria predicts clinical proteinuria and early mortality in maturity-onset diabetes . N Engl J Med. 1984;310:356-360.Crossref 6. Jarrett RJ, Viberti GC, Argyropoulos A, Hill RD, Mahmud U, Murrells TJ. Microalbuminuria predicts mortality in non-insulin-dependent diabetes . Diabet Med. 1984;1:17-19.Crossref 7. Jensen T, Borch-Johnsen K, Kofoed-Enevoldsen A, Deckert T. Coronary heart disease in young type 1 (insulin-dependent) diabetic patients with and without diabetic nephropathy: incidence and risk factors . Diabetologia. 1987;30:144-148.Crossref 8. Yudkin JS, Forrest RD, Jackson CA. Microalbuminuria as predictor of vascular disease in nondiabetic subjects . Lancet. 1988;2:530-533.Crossref 9. Deckert T, Feldt-Rasmussen B, Borch-Johnsen K, Jensen T, Kofoed-Enevoldsen A. Albuminuria reflects widespread vascular damage: the Steno hypothesis . Diabetologia. 1989;32:219-226.Crossref 10. Deckert T, Kofoed-Enevoldsen A, Norgaard K, Borch-Johnsen K, Feldt-Rasmussen B, Jensen T. Microalbuminuria: implications for micro and macrovascular disease . Diabetes Care. 1992;15:1181-1191.Crossref 11. Gilbert RE, Cooper ME, McNally PC, O'Brien RC, Toft J, Jerums G. Microalbuminuria: prognostic and therapeutic implications in diabetes mellitus . Diabet Med. 1994;11:636-645.Crossref 12. Breslow NE, Day NE. Statistical methods in cancer research: the analysis of case-control studies . IARC Sci Publ. 1980;1:122-159. 13. Schmitz A, Vaeth M. Microalbuminuria: a major risk factor in non-insulin-dependent diabetes: a 10-year follow-up study of 503 patients . Diabet Med. 1988;5:126-134.Crossref 14. Patrick AW, Leslie PJ, Clarke BF, Frier BM. The natural history and associations of microalbuminuria in type 2 diabetes during the first year after diagnosis . Diabet Med. 1990;7:902-908.Crossref 15. Stiegler H, Standl E, Schulz K, Roth R, Lehmacher W. Morbidity, mortality, and albuminuria in type 2 diabetic patients: a three-year prospective study of a random cohort in general practice . Diabet Med. 1992;9:646-653.Crossref 16. Mattock MB, Morrish NJ, Viberti GC, Keen H, FitzGerald AP, Jackson G. Prospective study of microalbuminuria as predictor of mortality i n NIDDM. Diabetes. 1992;41:736-741.Crossref 17. Damsgaard EM, Froland A, Jorgensen OD, Mogensen CE. Eight to nine year mortality in known non-insulin dependent diabetics and controls . KidneyInt. 1992;41:731-735. 18. Stehouwer CDA, Nauta JJP, Zeldenrust GC, Hackeng WHL, Donker AJM, Den Ottolander GJH. 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Joshi, Nirmal;Miller, Debra Q.
doi: 10.1001/archinte.1997.00440340035003pmid: N/A
Abstract Although several new antibiotics have recently become available, in several clinical instances conventional antibiotics may be equally efficacious at a considerably lower cost. In today's era of cost containment, it is particularly relevant to revisit older, inexpensive antibiotics to reexplore their role in the face of the emergence of resistant microorganisms and competition from newer agents. Doxycycline is one such antibiotic. It is an inexpensive, broad-spectrum antimicrobial agent that remains the drug of first choice for several infections. In addition, it can be used for a variety of other indications. Adverse effects are infrequent and relatively minor. While interactions occur with several medications, none of these interactions has significant adverse consequences. Arch Intern Med. 1997;157:1421-1428 References 1. McCaig LF, Hughes JM. Trends in antimicrobial drug prescribing among office-based physicians in the United States . JAMA. 1995;273:241-242.Crossref 2. 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Med J Aust. 1974;1:9-11. 117. Lanza FL. Esophageal ulceration produced by doxycycline . Curr Ther Res Clin Exp. 1988;44:475-484. 118. Schneider R. Doxycycline esophageal ulcers . Am J Dig Dis. 1977;22:805-807.Crossref 119. Shiff AD. Doxycycline-induced esophageal ulcers in physicians . JAMA. 1986;256:1893.Crossref 120. Doxycycline and renal failure . Med Lett Drugs Ther. 1972;14:3-4. 121. Orr LH, Rudisill E, Brodkin R, Hamilton RW. Exacerbation of renal failure: association with doxycycline . Arch Intern Med. 1978;138:793-794.Crossref 122. Shwachman H, Fekete E, Kulczycki LL, Foley GE. The effect of long-term antibiotic therapy in patients with cystic fibrosis of the pancreas . Antibiot Annu. 1958;59:692. 123. Wallman IS, Hilton HB. Teeth pigmentation by tetracycline . Lancet. 1962;1:827.Crossref 124. Porter PJ, Sweeney EA, Golan H, Kass EH. Controlled study of the effect of prenatal tetracycline on primary dentition . Antimicrob Agents Chemother. 1965;5:668-671. 125. Cohlan SQ, Bevelander G, Tiamsic T. Growth inhibition of prematures receiving tetracyclines . AJDC. 1963;105:453. 126. Edwards R. Doxycycline and photosensitivity . N Z Med J. 1987;100:640. 127. Council on Drugs. Evaluation of a new antibacterial agent: doxycycline monohydrate and doxycycline hyclate (Vibramycin) . JAMA. 1969;209:549-550.Crossref 128. Frank SB, Choen HJ, Minken W. Photo-onycholysis due to tetracycline hydrochloride and doxycycline . Arch Dermatol. 1971;103:520-521.Crossref 129. Ramelli G. Photo-onycholysis following doxycycline hyclate . Cutis. 1972;10:155-156. 130. Curley RK, Verbov JL. Stevens-Johnson syndrome due to tetracyclines: a case report (doxycycline) and review of the literature . Clin Exp Dermatol. 1987;12:124-125.Crossref 131. Trueb RM, Burg G. Acute generalized exanthematous pustulosis due to doxycycline . Dermatology. 1993;186:75-78.Crossref 132. Neuvonen PJ. Interactions with absorption of tetracyclines . Drugs. 1976;11:45-54.Crossref 133. VenhoVMK, Salonen RO, Mattila MJ. Modification of the pharmacokinetics of doxycycline in man by ferrous sulfate or tissues . Chemotherapy. 1975;21:8-18.Crossref 134. Jonkman JHG, Van Der Boon WJV, Schoenmaker R, Holtkamp A, Hempenius J. No influence of doxycycline on theophylline pharmacokinetics . Ther Drug Monit. 1985;7:92-94.Crossref 135. Caraco Y, Rubinow A. Enhanced anticoagulant effect of coumarin derivatives induced by doxycycline coadministration . Ann Pharmacother. 1992;26:1084-1085. 136. Mattila MJ, Laisi U, Linnoila M, Salonen R. Effect of alcoholic beverages on the pharmacokinetics of doxycycline in man . Acta Pharmacol Toxicol (Copenh). 1982;50:370-373.Crossref 137. Nguyen VX, Nix DE, Gillikin S, et al. Effect of oral antacid administration on the pharmacokinetics of intravenous doxycycline . Antimicrob Agents Chemother. 1989;33:434-436.Crossref 138. Ericsson CD, Feldman S, Pickering LK, et al. Influence of subsalicylate bismuth on absorption of doxycycline . JAMA. 1982;247:2266-2267.Crossref 139. Neely JL, Abate M, Swinker M, et al. The effect of doxycycline on serum levels of ethinyl estradiol, norethindrone and endogenous progesterone . Obstet Gynecol. 1991;77:416-420.
Wong, Linda L.;McFall, Paul;Wong, Livingston M. F.
doi: 10.1001/archinte.1997.00440340047004pmid: N/A
Abstract Background: The high cost of liver transplantation is well known. The cost of dying of complications of end-stage liver disease (ESLD) without transplant, however, has not been well documented. Methods: For a 5-year period (1991-1995), in 153 patients, mean inpatient hospital charges and length of stay were analyzed in 6 groups of patients: (1) patients admitted with the primary diagnosis of esophageal varices, (1a) the subset of group 1 patients who died on this admission, (2) patients admitted to the liver team who died of complications from ESLD, (3) patients who underwent transjugular intrahepatic portosystemic shunts, (4) patients who underwent surgical shunt for bleeding varices, and (5) patients who underwent liver transplantation. Results: One hundred twenty-nine patients with esophageal varices were hospitalized 13.7 days with a mean charge of $30 980 for each of 202 admissions. Of these, 38 died after 24 days with a mean charge of $67 091. Seven patients admitted to the liver team died of complications of ESLD at $110 576 per admission. Transjugular intrahepatic portosystemic shunt was performed in 17 patients with a mean charge of $43 209. Six patients underwent surgical shunt for $53 994. Mean charge for 7 liver transplantations was $222 968. During the study period, 36.7% of all charges were for patients who died. Conclusions: It is difficult to estimate the total cost of ESLD; however, in evaluating inpatient costs, we see that it is expensive and significant amounts are spent on patients who die. Further study is necessary to determine which factors can optimize the cost of ESLD.Arch Intern Med. 1997;157:1429-1432 References 1. Evans R. Cost-effectiveness analysis of transplantation . Surg Clin North Am. 1980; 66:603-615. 2. Evans R, Manninen DL, Dong FB. An economic analysis of liver transplantation . Gastroenterol Clin North Am. 1993;22:451-473. 3. Evans R. Organ transplantation costs, insurance coverage and reimbursements . Clin Transpl. 1990:343-355. 4. Kilpe VE, Krakauer H, Wren RE. An analysis of liver transplant experience from 37 liver transplant centers as reported to Medicare . Transplantation. 1993;56:554-561.Crossref 5. Muto P, Freeman RB, Haug CE, Lu A, Rohrer RJ. Liver transplant candidate stratification systems . Transplantation. 1994;57:306-308.Crossref 6. O'Donnell TF, Gembarowic RM, Callow AD, et al. The economic impact of acute variceal bleeding, cost-effectiveness implications for medical and surgical therapy . Surgery. 1980;88:693-701. 7. Busuttil R, Klintmalm GB. Transplantation of the Liver . Philadelphia, Pa: WB Saunders Co; 1996:77-78.
Gelber, Allan C.;Klag, Michael J.;Mead, Lucy A.;Thomas, John;Thomas, D. Johniene;Pearson, Thomas A.;Hochberg, Marc C.
doi: 10.1001/archinte.1997.00440340060005pmid: N/A
Abstract Background: Patients with gout are encountered frequently in clinical practice. Previous studies have suggested that hyperuricemia and gout may represent risk factors for coronary heart disease (CHD), the most common cause of death in American men. Methods: Prospectively collected data from 2 longitudinal cohort studies of former medical students—371 black men in the Meharry Cohort Study and 1181 white men in the Johns Hopkins Precursors Study—were analyzed. The development of gout and of CHD was determined by physician self-report, and validated by using published criteria. The risk for CHD associated with gout was evaluated using Cox proportional hazards analysis. Results: During a median follow-up of 30 years, there were 38 gout cases and 44 CHD events among the Meharry men, and 68 gout cases and 138 CHD events among the Hopkins men. Prior gout was not associated with an increased risk for incident CHD (relative risk=1.20; 95% confidence interval, 0.37-3.92) among the Meharry men or among the Hopkins men (relative risk=0.66; 95% confidence interval, 0.24-1.79). Multivariate analysis adjusted for known CHD risk factors did not alter these findings. Conclusion: These results, in black and white male physicians, do not suggest a role in men for targeting gout identification in the primary prevention of CHD.Arch Intern Med. 1997;157:1436-1440 References 1. Gertler MM, Garn SM, Levine SA. Serum uric acid in relation to age and physique in health and in coronary heart disease . Ann Intern Med. 1951;34:1421-1431.Crossref 2. Klein R, Klein BE, Cornoni JC, Maready J, Cassel JC, Tyroler HA. Serum uric acid: its relationship to coronary heart disease risk factors and cardiovascular disease, Evans County , Georgia. Arch Intern Med. 1973;132:401-410.Crossref 3. Yano K, Rhoads GG, Kagan A. Epidemiology of serum uric acid among 8000 Japanese-American men i n Hawaii. J Chronic Dis. 1977;30:171-184.Crossref 4. Goldbourt U, Medalie JH, Herman JB, Neufeld HN. Serum uric acid: correlation with biochemical, anthropometric, clinical and behavioral parameters in 10,000 Israeli men . J Chronic Dis. 1980;33:435-443.Crossref 5. Brand FN, McGee DL, Kannel WB, Stokes J, Castelli WP. Hyperuricemia as a risk factor of coronary heart disease: the Framingham Study . Am J Epidemiol. 1985; 121:11-18. 6. Freedman DS, Williamson DF, Gunter EW, Byers T. Relation of serum uric acid to mortality and ischemic heart disease: the NHANES I Epidemiology Follow-up Study . Am J Epidemiol. 1995;141:637-644. 7. Silman AJ, Hochberg MC. Epidemiology of the Rheumatic Diseases . Oxford, England: Oxford University Press; 1993:289-314. 8. Thomas CB. Observations on some possible precursors of essential hypertension and coronary artery disease . Bull Johns Hopkins Hosp. 1951;89:419-441. 9. Thomas J, Semenya KA, Neser WB, Thomas DJ, Green DR, Gillum RF. Risk factors and the incidence of hypertension in black physicians: the Meharry Cohort Study . Am Heart J. 1988;110:637-645.Crossref 10. Roubenoff R, Klag MJ, Mead LA, Liang K, Seidler AJ, Hochberg MC. Incidence and risk factors for gout in white men . JAMA. 1991;266:3004-3007.Crossref 11. Hochberg MC, Thomas J, Thomas DJ, Mead L, Levine DM, Klag MJ. Racial differences in the incidence of gout: the role of hypertension . Arthritis Rheum. 1995; 38:628-632.Crossref 12. Wallace SL, Robinson H, Masi AT, Decker JL, McCarty DJ, Yu T. Preliminary criteria for the classification of the acute arthritis of primary gout . Arthritis Rheum. 1977;20:895-900.Crossref 13. Lipid Research Clinics Program. The Lipid Research Clinics Coronary Primary Prevention Trial results, I: reduction in incidence of coronary heart disease . JAMA. 1984;251:351-364.Crossref 14. International Classification of Diseases, Ninth Revision, Clinical Modification. Washington, DC: Public Health Service, US Dept of Health and Human Services; 1980:1. 15. Cox DR. Regression models and life-tables . J R Stat Soc. 1972;34:187-202. 16. Abbott RD, Brand FN, Kannel WB, Castelli WP. Gout and coronary heart disease: the Framingham Study . J Clin Epidemiol. 1988;41:237-242.Crossref 17. Fessel WJ. High uric acid as an indicator of cardiovascular disease: independence from obesity . Am J Med. 1980;68:401.Crossref 18. Ginsberg MH, Kozin F, O'Malley M, McCarthy DJ. Release of platelet constituents by monosodium urate crystals . J Clin Invest. 1977;60:999-1007.Crossref 19. Mustard JF, Murphy EA, Ogryzlo MA, Smythe HA. Blood coagulation and platelet economy in subjects with primary gout . Can Med Assoc J. 1963;89:1207-1211. 20. Newland H. Hyperuricemia in coronary, cerebral, and peripheral arterial disease: an explanation . Med Hypotheses. 1975;1:152-155.Crossref 21. Lee J, Sparrow D, Vokonas PS, Landsberg L, Weiss ST. Uric acid and coronary heart disease risk: evidence for a role of uric acid in the obesity-insulin resistance syndrome . Am J Epidemiol. 1995;142:288-294. 22. Messerli FH, Frohlich ED, Dreslinski GR, Suarez DH, Aristimuno GG. Serum uric acid in essential hypertension: an indicator of renal vascular involvement . Ann Intern Med. 1980;93:817-821.Crossref 23. Klag MJ, Ford DE, Mead LA, et al. Serum cholesterol in young men and subsequent cardiovascular disease . N Engl J Med. 1993;328:313-318.Crossref
Randall, Daniel C.;Jones, David L.
doi: 10.1001/archinte.1997.00440340069006pmid: N/A
Abstract Background: Consensus recommendations call for the elimination of lactate dehydrogenase (LDH) tests from routine rule out myocardial infarction (ROMI) protocols. Methods: We conducted a utilization review project in which we evaluated the institutional impact of removing LDH and LDH isoenzyme tests from our hospital diagnostic panel. We then conducted a scripted telephone survey of 100 US hospitals to assess the generalizability of this project. Results: All our cardiology staff members supported this intervention. Lactate dehydrogenase isoenzyme test results did not add clinically useful data for any of 200 consecutive patients discharged with a diagnosis of acute myocardial infarction, and selective use of LDH isoenzyme testing in cases where it was clinically believed to be indicated cut costs 99% during the year after our intervention. Furthermore, our telephone survey demonstrated that 66% of US hospitals polled continue to test for LDH isoenzymes in every patient with possible myocardial infarction. Conclusions: Our results corroborate prior recommendations for the removal of LDH testing from the routine ROMI protocol. Such an intervention may be accomplished easily, with excellent staff acceptance and considerable savings. Most US hospitals continue to include LDH testing in their ROMI panels despite national guidelines recommending otherwise.Arch Intern Med. 1997;157:1441-1444 References 1. Martin AR. Common and correctable errors in diagnostic test ordering . West J Med. 1982;136:456-461. 2. Apple FS. Acute myocardial infarction and coronary reperfusion: serum cardiac markers for the 1990s . Am J Clin Pathol. 1992;97:217-226. 3. Puleo PR, Meyer D, Wathen C, et al. Use of a rapid assay of subforms of creatine kinase MB to diagnose or rule out acute myocardial infarction . N Engl J Med. 1994;331:561-566.Crossref 4. Wong SS. Strategic utilization of cardiac markers for the diagnosis of acute myocardial infarction . Ann Clin Lab Sci. 1996;26:301-312. 5. Galbraith LV, Leung FY, Jablonsky G, Henderson AR. Time-related changes in the diagnostic utility of total lactate dehydrogenase, lactate dehydrogenase isoenzyme-1, and two lactate dehydrogenase isoenzyme-1 ratios in serum after myocardial infarction . Clin Chem. 1990;35:1317-1322. 6. Lee TH, Goldman L. Serum enzyme assays in the diagnosis of acute myocardial infarction: recommendations based on a quantitative analysis . Ann Intern Med. 1986;105:221-233.Crossref 7. Fisher ML, Kelemen MH, Collins DC, et al. Routine serum enzyme tests in the diagnosis of acute myocardial infarction: cost effectiveness . Arch Intern Med. 1983;143:1541-1543.Crossref 8. Lee TH, Goldman L. Serum enzyme assays in the diagnosis of acute myocardial infarction: recommendations based on a quantitative analysis . In: Sox HC, ed. Common Diagnostic Tests: Use and Interpretation . 2nd ed. Philadelphia, Pa: American College of Physicians; 1990:67-78. 9. Gunnar RM, Passamani ER, Bourdillon PD, et al. Guidelines for the early management of patients with acute myocardial infarction: a report of the American College of Cardiology/American Heart Association Task Force on Assessment of Diagnostic and Therapeutic Cardiovascular Procedures (Subcommittee to Develop Guidelines for the Early Management of Patients With Acute Myocardial Infarction) . J Am Coll Cardiol. 1990;16:249-292.Crossref 10. American Hospital Association Guide to the Health Care Field . Chicago, Ill: American Hospital Association; 1994:A19-A502. 11. Reis GJ, Kaufman HW, Horowitz GL, Pasternak RC. Usefulness of lactate dehydrogenase and lactate dehydrogenase isoenzymes for diagnosis of acute myocardial infarction . Am J Cardiol. 1988;61:754-758.Crossref 12. Wong ET. Cost-effective use of laboratory tests: a joint responsibility of clinicians and laboratorians . Clin Lab Med. 1985;5:665-672. 13. Lewandrowski K, Bailey E, Dhanak E, Laposata M, Flood J. Mandatory laboratory consultation: how one hospital's program reduced overuse of cardiac tests . Lab Med. 1994;25:460-463. 14. Foreback CC. Biochemical diagnosis of myocardial infarction . Henry Ford Hosp Med J. 1991;39:159-164. 15. Ravel R. Clinical Laboratory Medicine: Clinical Application of Laboratory Data. 6th ed. St Louis, Mo: Mosby—Year Book Inc; 1995:331-342.
doi: 10.1001/archinte.1997.00440340072007pmid: N/A
This article is only available in the PDF format. Download the PDF to view the article, as well as its associated figures and tables. Abstract In the article titled "What Is the Role of Timing in the Surgical and Rehabilitative Care of Community-Dwelling Older Persons With Acute Hip Fracture," published in the March 10 issue (Arch Intern Med. 1997;157: 513-520), the third sentence of the "Results" subheading of the abstract section on page 513 should have read, "Patients who ambulated earlier had shorter lengths of stay...."
Saitz, Richard;Ghali, William A.;Moskowitz, Mark A.
doi: 10.1001/archinte.1997.00440340078008pmid: N/A
Abstract Background: There is controversy regarding the role of alcoholism as a prognostic factor in hospitalized patients with pneumonia. Objective: To assess the impact of alcohol abuse on hospitalization charges, length of hospital stay, intensive care unit use, and in-hospital mortality. Methods: We studied a cohort of all adults hospitalized in 1992 in Massachusetts with a principal diagnosis of pneumonia, and all Massachusetts residents hospitalized for pneumonia in 6 bordering states. Results: For the 23 198 pneumonia cases the mean total hospitalization charges were $9925, mean length of hospital stay was 9.6 days, 12% of the cases had intensive care unit stays, and 10% of the cases died during the hospitalization. In bivariate analyses, pneumonia cases with alcoholrelated diagnoses had higher charges (mean, $11 232 vs $9877, P=.07), had shorter length of hospital stay (9.2 vs 9.6 days, P=.02), were more likely to experience an intensive care unit stay (19% vs 12%, P<.001), and had lower in-hospital mortality (6.0% vs 10.2%, P<.001). Multivariable analyses adjusting for comorbidity, pneumonia etiology, and demographics revealed that for pneumonia cases with alcohol-related diagnoses, risk-adjusted hospital charges were $1293 higher (adjusted mean, $11 179 vs $9888, P<.001), length of hospital stay was 0.6 days longer (10.1 vs 9.5 days, P=.001), intensive care unit use was higher (18% vs 12%; adjusted odds ratio, 1.63; 95% confidence interval, 1.33-1.98), and mortality was no different (10% with or without an alcohol-related diagnosis). Conclusions: Having an alcohol-related diagnosis is associated with more use of intensive care, longer inpatient stays, and higher hospital charges. To understand resource utilization in cases of pneumonia, alcohol abuse is a comorbid factor that must be considered.Arch Intern Med. 1997;157:1446-1452 References 1. Garibaldi RA. Epidemiology of community-acquired respiratory tract infections in adults: incidence, etiology, and impact . Am J Med. 1985;78( (suppl 6B) ):32-37.Crossref 2. Health Care Investment Analysts and Ernst and Young. Comparative Clinical and Financial Standards: The Medicare DRG Handbook . Baltimore, Md: Health Care Investment Analysts Inc; 1991. 3. Daley J, Jencks S, Draper D, Lenhart G, Thomas N, Walker J. Predicting hospital-associated mortality for Medicare patients: a method for patients with stroke, pneumonia, acute myocardial infarction, and congestive heart failure . JAMA. 1988; 260:3617-3624.Crossref 4. Centers for Disease Control and Prevention. Mortality patterns: United States, 1993 . MMWR Morb Mortal Wkly Rep. 1996;45:161-164. 5. Dixon RE. Economic costs of respiratory tract infections in the United States . Am J Med. 1985;78( (suppl 6B) ):45-51.Crossref 6. The Secretary of Health and Human Services . Eighth Special Report to the US Congress on Alcohol and Health . Alexandria, Va: US Dept of Health and Human Services; 1993. 7. Rice DP, Kelman S, Miller LS, Dunmeyer S. Economic Costs of Alcohol and Drug Abuse and Mental Illness: 1985. San Francisco: Institute for Health and Aging, University of California; 1990. 8. Capps JA, Coleman GH. Influence of alcohol on prognosis of pneumonia i n Cook County Hospital. JAMA. 1923;80:750-752. 9. MacFarlane JT, Finch RG, Ward MJ, Macrae AD. Hospital study of adult community-acquired pneumonia . Lancet. 1982;2:255-258.Crossref 10. Torres A, Serra-Batlles J, Ferrer A, et al. Severe community-acquired pneumonia: epidemiology and prognostic factors . Am Rev Respir Dis. 1991;144:312-318.Crossref 11. Fang G-D, Fine M, Orloff J, et al. New and emerging etiologies for community-acquired pneumonia with implications for therapy: a prospective multicenter study of 359 cases . Medicine. 1990;69:307-316. 12. Pickrell KL. The effect of alcoholic intoxication and ether anesthesia on resistance to pneumococcal infection . Johns Hopkins Bull. 1938;63:238-260. 13. Guarneri JJ, Laurenzi GA. Effect of alcohol on the mobilization of alveolar macrophages . J Lab Clin Med. 1968;72:40-51. 14. Berkowitz H, Reichel J, Shim C. The effect of ethanol on the cough reflex . Clin Sci Mol Med. 1973;45:527-531. 15. Glassman AB, Bennett CE, Randall CL. Effects of ethyl alcohol on human peripheral lymphocytes . Arch Pathol Lab Med. 1985;109:540-542. 16. Nair MP, Kronfol ZA, Schwartz SA. Effects of alcohol and nicotine on cytotoxic functions of human lymphocytes . Clin Immunol Immunopathol. 1990;54:395-409.Crossref 17. Mili F, Flanders WD, Boring JR, Annest JL, DeStefano F. The associations of alcohol drinking and drinking cessation to measures of the immune system in middle-aged men . Alcohol Clin Exp Res. 1992;16:688-694.Crossref 18. Chomet B, Gach BM. Lobar pneumonia and alcoholism: an analysis of thirty-seven cases . Am J Med Sci. 1967;253:300-304.Crossref 19. Winterbauer RH, Bedon GA, Ball WC. Recurrent pneumonia: predisposing illness and clinical patterns in 158 patients . Ann Intern Med. 1969;70:689-700.Crossref 20. Adams HG, Jordan C. Infections in the alcoholic . Med Clin North Am. 1984;68:179-200. 21. Niquille M, Koehn V, Magnenat P, Paccaud F, Yersin B. Utilization of hospital resources by alcoholic and nonalcoholic patients: a prospective study . J Gen Intern Med. 1991;6:216-222.Crossref 22. Zook CJ, Moore FD. High-cost users of medical care . N Engl J Med. 1980;302:996-1002.Crossref 23. Roghmann KJ, Roberts JS, Smith TS, Wells SM, Wersinger RP. Alcoholics' versus nonalcoholics' use of services of a health maintenance organization . J Stud Alcohol. 1981;42:312-322. 24. Forsythe AB, Griffiths B, Reiff S. Comparison of medical services by alcoholics and non-alcoholics . Am J Public Health. 1982;72:600-602.Crossref 25. Putnam SL. Alcoholism, morbidity and care-seeking: the inpatient and ambulatory service utilization and associated illness experience of alcoholics and matched controls in a health maintenance organization . Med Care. 1982;20:97-121.Crossref 26. Pankrantz L, Jackson J. Habitually wandering patients . N Engl J Med. 1994;331:1752-1755.Crossref 27. Fernandez-Sola J, Junque A, Estruch R, Monforte R, Torres A, Urbano-Marquez A. High alcohol intake as a risk and prognostic factor for community-acquired pneumonia . Arch Intern Med. 1995;155:1649-1654.Crossref 28. Pachon J, Prados MD, Capote F, Cuello JA, Garnacho J, Verano A. Severe community-acquired pneumonia . Am Rev Respir Dis. 1990;142:369-373.Crossref 29. Ortqvist A, Hedlund J, Grillner L, et al. Aetiology, outcome, and prognostic factors in community-acquired pneumonia requiring hospitalization . Eur Respir J. 1990;3:1105-1113. 30. Farr BM, Sloman AJ, Fisch MJ. Predicting death in patients hospitalized for community-acquired pneumonia . Ann Intern Med. 1991;115:428-436.Crossref 31. Research Committee of the British Thoracic Society and the Public Health Laboratory Service. Community-acquired pneumonia in adults in British hospitals in 1982-1983: a survey of aetiology, mortality, prognostic factors and outcome . Q J Med. 1987;62:195-220. 32. Tilghman RC, Finland M. Clinical significance of bacteremia in pneumococcic pneumonia . Arch Intern Med. 1937;59:609-619.Crossref 33. Austrian R, Gold J. Pneumococcal bacteremia with special reference to bacteremic pneumococcal pneumonia . Ann Intern Med. 1964;60:759-776.Crossref 34. Fine MJ, Smith DN, Singer DE. Hospitalization decision in patients with community-acquired pneumonia: a prospective cohort study . Am J Med. 1990;89:713-721.Crossref 35. Black ER, Mushlin AI, Griner PF, Suchman AL, James RL Jr, Schoch DR. Predicting the need for hospitalization of ambulatory patients with pneumonia . J Gen Intern Med. 1991;6:394-400.Crossref 36. Fine MJ, Singer DE, Hanusa BH, Lave JR, Kapoor WN. Validation of a prognostic index using the MedisGroups comparative hospital database . Am J Med. 1993; 94:153-159.Crossref 37. Fine MJ, Singer DE, Phelps AL, Hanusa BH, Kapoor WN. Differences in length of stay in patients with community-acquired pneumonia: a prospective four-hospital study . Med Care. 1993;31:371-380.Crossref 38. Fine MJ, Hanusa BH, Lave JR, et al. Comparison of a disease-specific and a generic severity of illness measure for patients with community-acquired pneumonia . J Gen Intern Med. 1995;10:359-368.Crossref 39. Fine MJ, Smith MA, Carson CA, et al. Prognosis and outcomes of patients with community-acquired pneumonia: a meta-analysis . JAMA. 1996;275:134-141.Crossref 40. Fine MJ, Orloff JJ, Arisum D, et al. Prognosis of patients hospitalized with community acquired pneumonia . Am J Med. 1990;88:5-1N—5-8N.Crossref 41. Densen PM, Fielding JE, Getson J, Stone EM. The collection of data on hospital patients: the Massachusetts Health Data Consortium Approach , N Engl J Med. 1980;302:171-173.Crossref 42. Practice Management Information Corp. ICD-9-CM: International Classification of Diseases, Ninth Revision, Clinical Modification , Fourth Edition. Los Angeles, Calif: Practice Management Information Corp; 1995. 43. Adams WL, Yuan Z, Barboriak JJ, Rimm AA. Alcohol-related hospitalizations of elderly people: prevalence and geographic variation in the United States . JAMA. 1993;270:1222-1225.Crossref 44. Dufour MC, Fe Caces M. Epidemiology of the medical consequences of alcohol . Alcohol Health Res World. 1993;17:265-271. 45. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases . J Clin Epidemiol. 1992;45:613-619.Crossref 46. Krumpe PE, Cummiskey JM, Lillington GA. Alcohol and the respiratory tract . Med Clin North Am. 1984;68:201-219. 47. Ballard HS. Hematological complications of alcoholism . Alcohol Clin Exp Res. 1989;13:706-720.Crossref 48. Moss M, Bucher B, Moore FA, Moore EE, Parsons PE. The role of chronic alcohol abuse in the development of acute respiratory distress syndrome in adults . JAMA. 1996;275:50-54.Crossref 49. Jencks SF, Daley J, Draper D, Thomas N, Lenhart G, Walker J. Interpreting hospital mortality data: the role of clinical risk adjustment . JAMA. 1988;260:3611-3616.Crossref 50. Iezzoni LI. Using administrative diagnostic data to assess the quality of hospital care: pitfalls and potential of ICD-9-CM . Int J Tech Assess Health Care. 1990;6:272-281.Crossref 51. Romano PS, Mark DH. Bias in the coding of hospital discharge data and its implications for quality assessment . Med Care. 1994;32:81-90.Crossref 52. Whittle J, Fine MJ, Joyce DZ, et al. Community acquired pneumonia: can it be defined with claims data? J Gen Intern Med. 1996;11( (suppl) ):93. Abstract.
Metlay, Joshua P.;Schulz, Richard;Li, Yi-Hwei;Singer, Daniel E.;Marrie, Thomas J.;Coley, Christopher M.;Hough, Linda J.;Obrosky, D. Scott;Kapoor, Wishwa N.;Fine, Michael J.
doi: 10.1001/archinte.1997.00440340089009pmid:
O'Malley, Ann S.;Mandelblatt, Jeanne;Gold, Karen;Cagney, Kathleen A.;Kerner, Jon
doi: 10.1001/archinte.1997.00440340102010pmid: N/A
Abstract Objective: To examine how continuity of care affects the use of breast and cervical cancer screening in a multiethnic population. Methods: All data came from a structured telephone survey of a population-based quota sample designed to determine the cancer prevention needs of multiethnic blacks and Hispanics in New York, NY, in 1992. The study included 1420 women of 7 racial/ethnic groups: US-born blacks, English-speaking Caribbean-born blacks, Haitian blacks, and Puerto Rican, Dominican, Colombian, and Ecuadorian Hispanics. The main outcome measures were ever and recently having had a Papanicolaou smear, clinical breast examination (CBE), or mammogram. Results: Among respondents who qualified for the survey on the basis of age and ethnicity, the refusal rate for completing the interview was 2.1%. Compared with women without a usual site of care, those with a usual site, but no regular clinician, were 1.56, 2.45 (P≤.01), and 2.32 (P≤.05) times as likely ever to have received a Papanicolaou smear, CBE, or mammogram, respectively, and 1.84, 1.92 (P≤.05), and 1.75 times as likely to have received a recent Papanicolaou smear, CBE, or mammogram, respectively. Compared with women without a usual site of care, women with a regular clinician at that usual site of care were 2.63 (P≤.01), 2.83 (P≤.01), and 2.30 (P≤.05) times as likely ever to have received a Papanicolaou smear, CBE, or mammogram, and were 2.00 (P≤.05), 2.65 (P≤.01), and 1.40 times as likely to have recently received a Papanicolaou smear, CBE, or mammogram, respectively (adjusted odds ratios). For uninsured women, presence of a usual site of care was associated with increases in recent use of cancer screening for all screening tests. Conclusions: There is a linear trend in increasing breast and cervical cancer screening rates when one goes from having no usual source of care, to having a usual source, and to having a regular clinician at that usual source. Emphasis on continuity of care, especially on usual source of care, may help to bridge the gap in access to cancer prevention services faced by minority women.Arch Intern Med. 1997;157:1462-1470 References 1. Cancer Statistics Review 1973-1987: SEER Program . Bethesda, Md: US Dept of Health and Human Services, Public Health Service, National Institutes of Health, National Cancer Institute; 1990. National Institutes of Health publication 90-2789. 2. Freeman HP, Wasfie TJ. Cancer of the breast in poor black women . Cancer. 1989; 63:2562-2569.Crossref 3. Axtell LM, Myers M. Contrasts in survival of black and white cancer patients: 1960-1973 . J Natl Cancer Inst. 1978;60:1209-1215. 4. Bassett T, Krieger N. 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Showing 1 to 10 of 18 Articles
Abstract Background: Advanced age has become a well-recognized risk factor for death in patients with pneumonia. It may also be associated with reduced symptom reporting, raising the possibility that diagnosis and treatment may be delayed in older patients. Objective: To evaluate the association between age and the presenting symptoms in patients with community-acquired pneumonia. Methods: This study was conducted at inpatient and out-patient facilities at 3 university hospitals, 1 community hospital, and 1 staff-model health maintenance organization. Patients included adults (age ≥18 years) with clinical and radiographic evidence of pneumonia, who were able to complete a baseline interview. The presence of 5 respiratory symptoms and 13 nonrespiratory symptoms were recorded during a baseline patient interview. A summary symptom score was computed as the total number of symptoms at presentation. Results: The 1812 eligible study patients were categorized into 4 age groups: 18 through 44 years (43%), 45 through 64 years (25%), 65 through 74 years (17%), and 75 years or older (15%). For 17 of the 18 symptoms, there were significant decreases in reported prevalence with increasing age (P<.01). In a linear regression analysis, controlling for patient demographics, comorbidity, and severity of illness at presentation, older age remained associated with lower symptom scores (P<.001). Conclusions: Respiratory and nonrespiratory symptoms are less commonly reported by older patients with pneumonia, even after controlling for the increased comorbidity and illness severity in these older patients. Recognition of this phenomenon by clinicians and patients is essential given the increased mortality in elderly patients with pneumonia.Arch Intern Med. 1997;157:1453-1459 References 1. Osier W. The Principles and Practice of Medicine . East Norwalk, Conn: Appleton & Lange; 1892. 2. 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