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Table 3 Results of original Charlson models 1 and enhanced Charlson 2 models

From: The predictability of claim-data-based comorbidity-adjusted models could be improved by using medication data

MRDx3 c statistics Hosmer-Lemeshow test
Charlson4 Enhanced5 Charlson4 Enhanced5
  (95%CI6) (95%CI6) chi-square (P) chi-square (P)
ICH7 0.655 0.654 6.2 (0.63) 10.0 (0.27)
(0.642-0.669) (0.641-0.667)
Pneumonia 0.882 0.884 28.9 (<0.01) 26.7 (0.00)
(0.876-0.888) (0.878-0.890)
Ischemic infarct 0.715 0.716 10.5 (0.23) 12.7 (0.12)
(0.698-0.750) (0.699-0.733)
AMI8 0.766 0.770 9.2 (0.32) 10.9 (0.21)
(0.750-0.782) (0.754-0.786)
Non-alcoholic liver disease 0.740 0.750 30.3 (<0.01) 32.2 (<0.01)
(0.724-0.756) (0.734-0.766)
Intracranial injury 0.724 0.724 18.9 (0.02) 16.3 (0.04)
(0.705-0.743) (0.705-0.747)
CRF9 0.752 0.756 5.6 (0.69) 5.0 (0.76)
(0.733-0.771) (0.737-0.775)
COPD10 0.719 0.726 3.6 (0.89) 2.8 (0.95)
(0.696-0.742) (0.704-0.748)
Alcoholic liver disease 0.696 0.708 30.5 (<0.01) 27.1 (<0.01)
(0.673-0.719) (0.685-0.731)
Aspiration pneumonia 0.658 0.658 12.4 (0.13) 8.8 (0.36)
(0.631-0.685) (0.631-0.685)
CHF11 0.633 0.641 6.2 (0.62) 4.7 (0.80)
(0.604-0.662) (0.613-0.669)
Coronary atherosclerosis 0.847 0.861 16.3 (0.04) 21.0 (0.01)
  (0.827-0.867) (0.842-0.880)   
  1. 1 & 2 Multiple logistic regression models for predicting in-hospital mortalities composed of age + sex + status of health insurance + admission category (emergent or not) + operation (yes or no) + Charlson index score, before (Charlson models) and after (enhanced Charlson models) adding comorbidities inferred by drug prescription information, 3 Most responsive diagnoses, 4 Charlson models, 5 Enhanced Charlson models, 6 95% confidence interval calculated by bootstrapping, 7 Intracranial hemorrhage, 8 Acute myocardial infarction, 9 Chronic renal failure, 10 Chronic obstructive pulmonary disease, 11 Congestive heart failure.