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Table 2 Univariate and multivariate logistic regression analysis for obstructive CAD

From: Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients

Variables

Univariate analysis

Multivariate analysis

 

OR (95%CI)

p

OR (95%CI)

p

Male

1.549(1.143–2.099)

0.005

1.385(0.907–2.104)

0.128

Age

1.046(1.034–1.058)

0.000

1.035(1.021–1.050)

0.000

Hypertension

    

Stage1

-[Reference]

 

- [Reference]

 

Stage2

3.506(0.985–12.473)

0.053

3.433(1.099–12.82)

0.046

Stage 3

3.599(1.112–11.643)

0.033

3.272(1.254–10.932)

0.030

Diabetes mellitus

1.994(1.462–2.719)

0.000

1.252(0.874–1.779)

0.215

Current smoker

1.759(1.293–2.395)

0.000

1.699(1.108–2.626)

0.016

TC

0.995(0.867–1.152)

0.995

  

CACS

1.002(1.002–1.003)

0.000

1.002(1.001–1.002)

0.000

  1. TC, total cholesterol; CACS, coronary artery calcium score.
  2. In the multivariate analysis, male, age, hypertension, diabetes mellitus, current smoker and CACS were adjusted.