Table 2.
Binary logistic regression model to identify independent predictors of thrombocytopenia in ACS patients.
| Variables | OR | 95% confidence interval | p values |
|---|---|---|---|
| PCIs | 2.362 | 0.695 to 8.033 | 0.169 |
| ASA treatment | 0.633 | 0.138 to 2.900 | 0.556 |
| Clopidogrel treatment | 1.739 | 0.543 to 5.577 | 0.352 |
| Heparin treatment | 1.700 | 0.690 to 4.185 | 0.249 |
| GPIIb/IIIa inhibitors | 0.531 | 0.185 to 1.528 | 0.241 |
| Antibiotics | 0.405 | 0.189 to 0.866 | 0.020 |
| Red blood cell transfusion | 0.371 | 0.143 to 0.963 | 0.042 |
| Acute heart failure | 0.822 | 0.395 to 1.713 | 0.601 |
| Acute kidney injury | 1.448 | 0.559 to 3.750 | 0.446 |
| Stroke | 0.292 | 0.101 to 0.848 | 0.024 |
| IABP | 0.232 | 0.620 to 0.871 | 0.030 |
| STEMI | 1.388 | 0.630 to 3.057 | 0.415 |
| Age | 0.995 | 0.970 to 1.0190 | 0.671 |
PCI, percutaneous coronary intervention; ASA, acetylsalicylic acid; GPIIb/IIIa, glycoprotein receptor IIb/IIIa; IABP, intra-aortic balloon pump; STEMI, ST-elevation myocardial infarction; OR, odds ratio.