A combined comorbidity score predicted mortality in elderly patients better than existing scores

By J. Gagne, Robert J. Glynn, J. Avorn, R. Levin, Sebastian Schneeweiss. Journal of Clinical Epidemiology, 2011

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OBJECTIVE To develop and validate a single numeric comorbidity score for predicting short-and long-term mortality, by combining conditions in the Charlson and Elixhauser measures. STUDY DESIGN AND SETTING In a cohort of 120,679 Pennsylvania Medicare enrollees with drug coverage through a pharmacy assistance program, we developed a single numeric comorbidity score for predicting 1-year mortality, by combining the conditions in the Charlson and Elixhauser measures. We externally validated the combined score in a cohort of New Jersey Medicare enrollees, by comparing its performance to that of both component scores in predicting 1-year mortality, as well as 180-, 90-, and 30-day mortality. RESULTS C-statistics from logistic regression models including the combined score were higher than corresponding c-statistics from models including either the Romano implementation of the Charlson Index or the single numeric version of the Elixhauser system; c-statistics were 0.860 (95% confidence interval [CI]: 0.854, 0.866), 0.839 (95% CI: 0.836, 0.849), and 0.836 (95% CI: 0.834, 0.847), respectively, for the 30-day mortality outcome. The combined comorbidity score also yielded positive values for two recently proposed measures of reclassification. CONCLUSION In similar populations and data settings, the combined score may offer improvements in comorbidity summarization over existing scores.

Subfields: Cardiology and Cardiovascular Medicine, Epidemiology, General Health Professions

View Paper: https://www.semanticscholar.org/paper/bd1c291100b5b6f72ffe908e25ca7bad1efdc19a

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In Cardiology and Cardiovascular Medicine

In Epidemiology

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