Table 2.
Propensity Score Subclass1 | Treatment | N (%) | Events (%) | OR | 95% CI | p-value |
---|---|---|---|---|---|---|
1 | PCI | 1,263 (36) | 560 (44) | 0.44 | 0.38 – 0.50 | <0.001 |
No PCI | 2,283 (64) | 1,473 (65) | – | – | – | |
2 | PCI | 958 (40) | 444 (46) | 0.53 | 0.45 – 0.62 | <0.001 |
No PCI | 1,441 (60) | 894 (62) | – | – | – | |
3 | PCI | 1,627 (41) | 748 (46) | 0.50 | 0.44 – 0.57 | <0.001 |
No PCI | 2,374 (59) | 1,489 (63) | - | – | – | |
4 | PCI | 2,034 (45) | 868 (43) | 0.47 | 0.42 – 0.53 | <0.001 |
No PCI | 2,542 (55) | 1,557 (61) | – | – | – | |
5 | PCI | 4,525 (45) | 1,532 (41) | 0.47 | 0.41 – 0.49 | <0.001 |
No PCI | 3,727 (55) | 2762 (61) | – | – | – |
Abbreviations: OR = Odds Ratio; CI = confidence interval
Propensity Score: Using logistic regression, the propensity score was estimated by modeling the associations of the following covariates with treatment (percutaneous coronary intervention) given the covariates: gender, race, diabetes mellitus, hypertension, obesity, peripheral vascular disease, pulmonary circulation disorder, chronic lung disease, renal failure, liver disorder, coagulopathy, weight loss, electrolyte imbalance, blood loss, and alcoholism.