TY - JOUR
T1 - Comparison of comorbidity scores in predicting surgical outcomes
AU - Mehta, Hemalkumar B.
AU - Dimou, Francesca
AU - Adhikari, Deepak
AU - Tamirisa, Nina P.
AU - Sieloff, Eric
AU - Williams, Taylor P.
AU - Kuo, Yong Fang
AU - Riall, Taylor S.
N1 - Publisher Copyright:
© 2013 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - CMS-HCC
KW - Charlson comorbidity score
KW - Chronic disease score
KW - Elixhauser comorbidity score
KW - Surgery
KW - Surgical outcomes
UR - http://www.scopus.com/inward/record.url?scp=84957847000&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84957847000&partnerID=8YFLogxK
U2 - 10.1097/MLR.0000000000000465
DO - 10.1097/MLR.0000000000000465
M3 - Article
C2 - 26595225
AN - SCOPUS:84957847000
SN - 0025-7079
VL - 54
SP - 180
EP - 187
JO - Medical care
JF - Medical care
IS - 2
ER -