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. 2020 May 12;2020:5091490. doi: 10.1155/2020/5091490

Table 3.

Multivariable logistic regression analysis of one-year all-cause mortality.

Unadjusted Model 1 Model 2 Model 3
OR 95% CI p OR 95% CI p OR 95% CI p OR 95% CI p
Total
 Women vs. men 0.62 0.41–0.93 0.021 0.60 0.40–0.90 0.014 0.53 0.35–0.81 0.003 0.57 0.35–0.91 0.018
 Age 1.10 1.04–1.16 0.001 1.09 1.03–1.15 0.003 1.08 1.02–1.15 0.010
 Severe heart failure 1.77 1.14–2.75 0.011
 PLT 1.004 1.001–1.007 0.018
 Creatinine 1.005 1.003–1.007 <0.001
STEMI
 Women vs. men 0.40 0.19–0.84 0.016 0.40 0.19–0.84 0.016 0.36 0.17–0.79 0.011 0.42 0.18–0.94 0.035
 Severe heart failure 3.21 1.66–6.22 0.001 3.84 1.89–7.78 <0.001
NSTE-ACS
 Women vs. men 0.87 0.53–1.43 0.584 0.81 0.49–1.34 0.405 0.72 0.43–1.23 0.230 0.71 0.38–1.33 0.283
 Age 1.13 1.05–1.20 <0.001 1.10 1.02–1.18 0.009 1.09 1.01–1.18 0.033
 Severe heart failure 1.79 1.05–3.07 0.033
 Hemoglobin 0.98 0.97–1.00 0.027
 LDL 1.49 1.07–2.08 0.018
 Creatinine 1.004 1.002–1.007 0.001
 Serum uric acid 1.002 1.000–1.004 0.090

Data are expressed as OR ± 95% CIs (reported in parentheses) as assessed by univariate (unadjusted) or multivariate logistic regression analyses. Other covariates included in multivariate logistic regression models were as follows: Model 1: age; Model 2: age, diabetes mellitus, hypertension, current smoking, and severe heart failure; Model 3: adjustment for variables included age, diabetes mellitus, hypertension, current smoking, severe heart failure, hemoglobin, PLT, total cholesterol, HDL-C, LDL-C, creatinine level, and serum uric acid. The adjustment parameters which were statistically significant were shown.