Comparison of comorbidity scores in predicting surgical outcomes

Hemalkumar B. Mehta, Francesca Dimou, Deepak Adhikari, Nina P. Tamirisa, Eric Sieloff, Taylor P. Williams, Yong Fang Kuo, Taylor S Riall

Research output: Contribution to journalArticle

29 Scopus citations

Abstract

Introduction: The optimal methodology for assessing comorbidity to predict various surgical outcomes such as mortality, readmissions, complications, and failure to rescue (FTR) using claims data has not been established. Objective: Compare diagnosis-based and prescription-based comorbidity scores for predicting surgical outcomes. Methods: We used 100% Texas Medicare data (2006-2011) and included patients undergoing coronary artery bypass grafting, pulmonary lobectomy, endovascular repair of abdominal aortic aneurysm, open repair of abdominal aortic aneurysm, colectomy, and hip replacement (N = 39,616). The ability of diagnosis-based [Charlson comorbidity score, Elixhauser comorbidity score, Combined Comorbidity Score, Centers for Medicare and Medicaid Services-Hierarchical Condition Categories (CMS-HCC)] versus prescription-based Chronic disease score in predicting 30-day mortality, 1-year mortality, 30-day readmission, complications, and FTR were compared using c-statistics (c) and integrated discrimination improvement (IDI). Results: The overall 30-day mortality was 5.8%, 1-year mortality was 17.7%, 30-day readmission was 14.1%, complication rate was 39.7%, and FTR was 14.5%. CMS-HCC performed the best in predicting surgical outcomes (30-d mortality, c = 0.797, IDI = 4.59%; 1-y mortality, c = 0.798, IDI = 9.60%; 30-d readmission, c = 0.630, IDI = 1.27%; complications, c = 0.766, IDI = 9.37%; FTR, c = 0.811, IDI = 5.24%) followed by Elixhauser comorbidity index/disease categories (30-d mortality, c = 0.750, IDI = 2.37%; 1-y mortality, c = 0.755, IDI = 5.82%; 30-d readmission, c = 0.629, IDI = 1.43%; complications, c = 0.730, IDI = 3.99%; FTR, c = 0.749, IDI = 2.17%). Addition of prescription-based scores to diagnosisbased scores did not improve performance. Conclusions: The CMS-HCC had superior performance in predicting surgical outcomes. Prescription-based scores, alone or in addition to diagnosis-based scores, were not better than any diagnosis-based scoring system.

Original languageEnglish (US)
Pages (from-to)180-187
Number of pages8
JournalMedical care
Volume54
Issue number2
DOIs
StatePublished - Jan 1 2016

Keywords

  • CMS-HCC
  • Charlson comorbidity score
  • Chronic disease score
  • Elixhauser comorbidity score
  • Surgery
  • Surgical outcomes

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

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    Mehta, H. B., Dimou, F., Adhikari, D., Tamirisa, N. P., Sieloff, E., Williams, T. P., Kuo, Y. F., & Riall, T. S. (2016). Comparison of comorbidity scores in predicting surgical outcomes. Medical care, 54(2), 180-187. https://doi.org/10.1097/MLR.0000000000000465