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. 2022 Aug 12;2(5):oeac053. doi: 10.1093/ehjopen/oeac053

Table 4.

Multivariate predictors of major adverse cardiac event

Variable 1. Multivariate
hazard ratio (CI)
2. Multivariate
hazard ratio (CI)
3. Multivariate
hazard ratio (CI)
4. multivariate
hazard ratio (CI)
Cardiovascular/clinical risk factors
Age
Smoking
Hypertension
Diabetes
Killip class
Atrial fibrillation
Angiography
Diseased vessels
Culprit lesion
CMR-derived morphology
IS
MVO
MSI
LAVI
CMR-derived function a
LVEF
LV GLS 1.11 (1.02–1.20)
P = 0.013
1.11 (1.02–1.20)
P = 0.011
1.10 (1.02–1.20)
P = 0.015
1.11 (1.03–1.20)
P = 0.010
1 LA Es
2 LAEF 0.96 (0.92–0.99)
P = 0.017
3 LA LAS 0.90 (0.82–0.99)
P = 0.036
4 LA LAS90 0.92 (0.84–1.00)
P = 0.050

The table reports multivariable Cox regression models (based on the enter method) to predict a major adverse clinical event during the 12 months follow-up period following acute myocardial infarction. Data are presented as hazard ratios with associated 95% confidence intervals in parentheses. Variables with univariate significance (P < 0.05) were included in multivariable Cox regression models and are presented if they emerged as statistically significant (P < 0.05).

CI, confidence interval; HLP, hyperlipoproteinaemia; BMI, body mass index; IS, infarct size; MVO, microvascular obstruction; MSI, myocardial salvage index; LVEF, left-ventricular ejection fraction; LAVI, left-atrial volume index; GLS, global longitudinal strain; Es, reservoir function; LAS, long-axis strain.

a

LA Es, LAEF, and LAS/LAS90 were considered in separate multivariate models due to their high correlation (Models 1–4).