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Table 2 Univariate and multivariate logistic regression analysis of radiomics score and clinical indicators in the training set

From: MRI-based clinical-radiomics nomogram to predict early neurological deterioration in isolated acute pontine infarction: a two-center study in Northeast China

Characteristic

Univariate logistic regression

 

Multivariable logistic regression

OR(95%CI)

p

 

OR(95%CI)

p

Rad-score

6.46(3.56,11.72)

< 0.001

 

3.02(1.08,8.43)

0.024*

Onset-to-MRI time

2.40(1.17,4.93)

0.017

 

1.99(0.53,7.41)

0.242

Age

1.16(1.11,1.20)

< 0.001

 

1.19(1.10,1.29)

< 0.001*

History of coronary heart disease

2.27(1.07,4.85)

0.034

 

0.40(0.08,2.16)

0.288

History of smoking

5.46(3.05,9.76)

< 0.001

 

2.55(0.87,7.47)

0.107

Initial SBP(mmHg)

1.08(1.06,1.10)

< 0.001

 

1.05(1.02,1.08)

0.001*

Initial NIHSS

2.03(1.72,2.39)

< 0.001

 

1.89(1.44,2.50)

< 0.001*

TC(mmol)

3.47(2.41,5.01)

< 0.001

 

1.78(0.87,3.65)

0.133

TG(mmol)

2.17(1.66,2.84)

< 0.001

 

2.72(1.55,4.80)

0.001*

LDL(mmol)

1.96(1.42,2.71)

< 0.001

 

2.00(0.95,4.22)

0.055

HCY(umol/l)

1.05(1.02,1.08)

0.001

 

1.05(1.00,1.10)

0.050

  1. CI = confidence interval, OR = odds ratio, MRI = magnetic resonance imaging, SBP = systolic blood pressure, NIHSS = National Institute of Health Stroke Scale, TC = total cholesterol, TG = triglyceride, LDL = low-density lipoprotein cholesterol, HCY = homocysteine. * Clinical indicators for further analysis (p < 0.05)