Literature DB >> 26026336

Do past mortality rates predict future hospital mortality?

Taylor M Coe1, Samuel E Wilson2, David C Chang3.   

Abstract

BACKGROUND: This study aimed to determine whether hospitals with higher historical mortality rates are independently associated with worse patient outcomes.
METHODS: Observational study of in-hospital mortality in open abdominal aortic aneurysm repair, aortic valve replacement, and coronary artery bypass graft surgery in a California in-patient database was conducted. Hospitals' annual historical mortality rates between 1998 and 2010 were calculated based on 3 years of data before each year. Results were adjusted for race, sex, age, hospital teaching status, admission year, insurance status, and Charlson comorbidity index.
RESULTS: Hospitals were divided into quartiles based on historical mortality rates. For abdominal aortic aneurysm repair, the odds ratio (OR) of in-hospital mortality for hospitals within the highest quartile of prior mortality was 1.30 compared with the lowest quartile (95% confidence interval [CI] 1.03 to 1.63). For aortic valve replacement, the OR was 1.41 for the 3rd quartile (95% CI 1.15 to 1.73) and 1.54 for the highest quartile (95% CI 1.27 to 1.87). For coronary artery bypass graft surgery, the OR was 1.33 for the 3rd (95% CI 1.2 to 1.49) and 1.58 for the highest (95% CI 1.41 to 1.76) quartiles.
CONCLUSION: Patients presenting to hospitals with high historical mortality rates have a 30% to 60% increased mortality risk compared with patients presenting to hospitals with low historical mortality rates.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Historical mortality rates; Outcomes prediction; Surgical outcomes

Mesh:

Year:  2015        PMID: 26026336      PMCID: PMC4699802          DOI: 10.1016/j.amjsurg.2015.04.001

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  14 in total

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10.  Pediatric injury outcomes in racial/ethnic minorities in California: diversity may reduce disparity.

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