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Table 4 Model-based point estimates for high-cost healthcare expenditurea using logistic models – multivariate analysis (excluding Malaysia)

From: Predictors of high-cost hospitalization in the treatment of acute coronary syndrome in Asia: findings from EPICOR Asia

Factor Odds ratio 95% CI P value
Age, per 10-year increment 1.10 1.05, 1.16 < 0.0001
Sex, male versus female 1.17 1.02, 1.33 0.0224
Income (versus quintile 5)    < 0.0001
 Quintile 1 0.43 0.15, 1.19  
 Quintile 2 0.76 0.67, 0.86  
 Quintile 3 0.96 0.83, 1.11  
 Quintile 4 0.74 0.45, 1.23  
Health insurance, yes versus no 1.11 0.89, 1.38 0.3686
Disease history, yes versus no 1.25 1.11, 1.41 0.0002
Hospitalization in the 3 months prior to index event, yes versus no 1.48 1.23, 1.77 < 0.0001
Dependence degree before index event, none versus some 1.96 1.60, 2.40 < 0.0001
Index event medical management, invasive versus non-invasive 5.48 4.34, 6.92 < 0.0001
Type of hospital (versus UGH)    0.0016
 Regional/community/rural hospital 1.74 1.25, 2.41  
 Non-UGH 1.13 0.99, 1.29  
 Other type of hospital/clinic 0.97 0.79, 1.19  
Length of stay 1.06 1.04, 1.06 < 0.0001
Country (versus China)    < 0.0001
 Hong Kong 1.92 1.04, 3.53  
 India 2.54 1.98, 3.25  
 Singapore 1.58 0.77, 3.24  
 South Korea 1.21 0.76, 1.95  
 Thailand 1.52 1.05, 2.20  
 Vietnam 0.90 0.57, 1.42  
  1. UGH University general hospital
  2. aDefined as the top quintile within a country