Table 3.
Logistic regression modeling for myocardial injury.
| Variable | Odds ratio (95% CI) | p value |
|---|---|---|
| Age | 1.04 (1.00–1.09) | 0.032 |
| Sex (M vs. F) | 1.56 (0.81–3.03) | 0.185 |
| BMI | 0.99 (0.93–1.05) | 0.750 |
| Procedure: PSF vs. THA | 4.17 (1.52–11.43) | 0.003 |
| TKA vs. THA | 1.06 (0.49–2.29) | 0.074 |
| β-blockers | 1.85 (0.80–4.32) | 0.153 |
| Statins | 0.90 (0.41–1.99) | 0.791 |
| Previous MI | 0.83 (0.28–2.45) | 0.730 |
| + Stress test | 0.39 (0.05–3.06) | 0.373 |
| Angina | 0.57 (0.18–1.83) | 0.344 |
| Stents | 2.23 (0.89–5.58) | 0.087 |
| Previous CVA | 1.64 (0.18–14.77) | 0.662 |
| DM | 0.42 (0.09–1.99) | 0.274 |
| Cr ≥ 1.6 | 1.83 (0.47–7.15) | 0.387 |
| Previous CHF | 1.34 (0.15–12.18) | 0.793 |
PSF posterior spine fusion, THA total hip arthroplasty, TKA total knee arthroplasty, MI myocardial infarction, stents coronary artery stents, CVA cerebral vascular accident, DM diabetes mellitus, Cr blood creatinine level, CHF congestive heart failure