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Table 4 Univariate and multivariate logistic regression identified significantly independent factors in the training cohort to construct radiomics nomogram

From: Non-contrast CT-based radiomics nomogram of pericoronary adipose tissue for predicting haemodynamically significant coronary stenosis in patients with type 2 diabetes

Indicators

Univariate analysis

Multivariable analysis

OR

95% CI

P value

OR

95% CI

P value

Lower

Upper

Lower

Upper

CACS

1.01

1.01

1.01

 < 0.001

1.00

1.00

1.01

0.023

FAI

1.02

0.99

1.06

0.241

-

-

-

-

Radscore

3.46

2.58

4.65

 < 0.001

2.84

2.04

3.96

 < 0.001

  1. OR Odds ratio, CI Confidence interval, FAI Fat attenuation index, CACS Coronary artery calcium score