Table 3.
Propensity Score Subclass1 | Treatment | Subpopulation Size N (%) | Events (%) | OR | 95% CI | p-value |
---|---|---|---|---|---|---|
1 | PCI | 21,953 (32) | 9,992 (46) | 0.45 | 0.38 – 0.54 | <0.001 |
No PCI | 46,505 (68) | 30,064 (65) | – | – | – | |
2 | PCI | 25,026 (37) | 10,924 (44) | 0.50 | 0.42 – 0.59 | <0.001 |
No PCI | 43,332 (63) | 26,379 (61) | – | – | – | |
3 | PCI | 27,406 (40) | 12,199 (45) | 0.51 | 0.43 – 0.60 | <0.001 |
No PCI | 40,633 (60) | 24,889 (61) | - | – | – | |
4 | PCI | 28,063 (41) | 11,971 (43) | 0.45 | 0.37 – 0.55 | <0.001 |
No PCI | 39,952 (59) | 24,955 (62) | – | – | – | |
5 | PCI | 32,346 (48) | 12,371 (38) | 0.45 | 0.38 – 0.54 | <0.001 |
No PCI | 35,664 (52) | 20,566 (58) | – | – | – |
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. Survey analysis was performed using a self-weighted, stratified systematic, random sample of discharges from all hospitals in the sampling frame (see Methods section).