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Table 2 Univariate analyses and multivariate associations between variables and obstructive coronary artery disease

From: A simple prediction model to estimate obstructive coronary artery disease

Risk factors Univariate logistic regressiona Multivariate logistic regressionb
OR 95% CI P value OR 95% CI P value
Age, (per year) 1.11 1.04–1.18 < 0.01 1.02 1.00–1.04 0.05
Gender (male vs. female) 2.07 1.56–2.69 < 0.01 2.99 1.97–4.45 < 0.01
Hypertension (yes vs. no) 2.02 1.56–2.62 < 0.01 1.72 1.17–2.55 < 0.01
Anemia (yes vs. no) 1.78 1.33–2.37 < 0.01 1.76 1.14–2.72 < 0.01
LVEF (per %) 0.97 0.96–0.99 < 0.01 0.98 0.96–1.00 < 0.01
Hs-CRP (per mmol/l) 1.04 1.01–1.07 < 0.01 1.03 1.00–1.05 0.07
TC (per 10 mg/dl) 1.02 0.99–1.05 0.25 1.06 1.01–1.11 0.03
HDL-C (per mg/dl) 0.97 0.96–0.99 < 0.01 0.98 0.96–0.99 < 0.01
  1. OR: odds ratio; CI: confidence interval; LVEF = left ventricular ejection fraction; Hs-CRP = high-sensitivity C-reactive protein; TC: total cholesterol; HDL-C = high-density lipoprotein cholesterol
  2. aUnivariate logistic regression analysis was performed in 1262 patients
  3. bMultivariate logistic regression analysis was performed in 683 patients without missing data of the variables in the final model