Research Article

Impact of BMI on Long-Term Outcomes in Patients with ST-Segment Elevation Myocardial Infarction after Primary Percutaneous Coronary Intervention

Table 4

Multivariate analysis for major adverse cardiac events according to age.

≤65 years
Model 1
OR (95% CI)
valueModel 2
OR (95% CI)
value

BMI
 <2411
 24–280.436 (0.175–0.927)0.0010.741 (0.413–0.979)0.038
 >280.360 (0.203–0.636)<0.0010.508 (0.344–0.750)0.016
Diabetes history5.013 (2.730–8.130)<0.0014.286 (2.398–7.660)<0.001
Lifestyle and medication after discharge
 Regular exercise0.562 (0.382–0.827)0.0030.519 (0.351–0.768)0.002
 Beta-blockers0.524 (0.357–0.770)0.0010.508 (0.344–0.750)0.001

>65 years
Model 1
OR (95% CI)
valueModel 2
OR (95% CI)
value
Diabetes history2.701 (1.137–6.452)0.0262.630 (1.110–6.234)0.028
Hypertension3.735 (1.156–9.858)0.0013.444 (1.429–8.300)0.006
Triple disease2.701 (1.217–5.694)0.0012.712 (1.290–5.688)0.008
Lifestyle and medication after discharge
 Regular exercise0.419 (0.212–0.826)<0.0010.472 (0.234–0.951)0.036
 ACEI/ARB0.394 (0.203–0.763)<0.0010.298 (0.144–0.618)0.001
Bleedings12.980 (3.879–43.027)<0.00112.670 (3.822–42.001)<0.001

BMI, body mass index; ACEIs, angiotensin-converting enzyme inhibitors; ARBs, angiotensin receptor blockers. Nonadjusted model. The multivariable models were adjusted for the following covariate set: age, sex, SBP, DBP, HR, glucose, LDL-C, hypertension, diabetes, stroke, smoking, baseline TIMI flow grade, medication adherence, and bleeding.