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Table 4 Univariable and multivariable logistic regression analyses for coronary artery disease

From: Circulating sortilin level as a potential biomarker for coronary atherosclerosis and diabetes mellitus

 

Association with presence of CAD

Single

Multiple

OR (95% CI)

P value

OR (95% CI)

P value

Age (years)

1.14 (1.08–1.20)

<0.001

1.08 (1.00–1.17)

0.04

BMI (kg/m2)

0.91 (0.79–1.06)

0.213

SBP (mmHg)

1.03 (1.00–1.05)

0.021

1.03 (0.98–1.08)

0.262

DBP (mmHg)

0.99 (0.85–1.02)

0.435

Log glucose (mg/dl)

41.69 (9.19–189.12)

<0.001

Log HbA1c (%)

10.06 (1.54–65.87)

0.016

0.12 (0.02–7.61)

0.124

TC (mg/dl)

0.97 (0.96–0.99)

<0.001

Log TG (mg/dl)

1.13 (0.52–2.48)

0.757

HDL-C (mg/dl)

0.86 (0.81–0.91)

<0.001

0.82 (0.72–0.93)

0.002

LDL-C (mg/dl)

0.98 (0.97–1.00)

0.028

1.01 (0.98–1.05)

0.513

Log hs-CRP (mg/dl)

2.64 (1.80–3.88)

<0.001

2.27 (1.28–4.04)

0.005

Log sortilin (ng/ml)

4.17 (1.68–10.35)

0.002

5.29 (1.06–26.51)

0.043

  1. CAD coronary artery disease, DM diabetes mellitus, BMI body mass index, SBP systolic blood pressure, DBP diastolic blood pressure, TC total cholesterol, TG triglyceride, HDL-C HDL cholesterol, LDL-C LDL cholesterol
  2. Log-transformation was used for variables (glucose, HbA1c, triglyceride, hs-CRP, and sortilin) before statistical analysis. P values for univariable or multivariable logistic regression analysis