The variables used in calculating the propensity score | Age; gender; injury mechanism; fracture classification; aCCI; CHD; arrhythmia; ischemic stroke; cancer; dementia; COPD; virus hepatitis; time to operation; treatment strategy; operation time; infusion; transfusion; stay in hospital |
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Propensity score algorithm | Cox regression model |
C-statistical | 0.71 |
Matching method | Greedy matching within specified caliper distances |
Metric distances | 0.05 |
Matching ratio | 1:1 |
Use of replacement | With replacement |
Matching sample size | No. of mortality = 1: 632 cases No. of mortality = 0: 632 cases Total 1264 cases |