Table 4 Univariate and multivariate logistic regression models between CKD with ISNA and TCFA incidence.

From: Study on the relationship between in-stent neoatherosclerosis and chronic kidney disease: an optical coherence tomography study

 

Group 1

Group 2

 

Group 3

 

p Trend

 

OR

OR (95%CI)

p Value

OR (95%CI)

p Value

ISNA

      

Model 1

1.000

1.176 (0.637–2.172)

0.603

2.945

(1.426–6.083)

0.004

 

Model 2

1.000

1.043 (0.544–2.001)

0.898

2.575

(1.140–5.818)

0.023

 

Model 3

1.000

1.054 (0.548–2.026)

0.875

2.735

(1.184–6.317)

0.018

 

Model 4

1.000

3.791 (0.995–14.440)

0.051

5.938 (1.125–31.338)

0.036

 

TCFA

      

Model 1

1.000

0.977 (0.470–2.030)

0.950

2.368

(1.113–5.038)

0.025

 

Model 2

1.000

0.818 (0.379–1.767)

0.610

1.888 (0.797–4.474)

0.149

 

Model 3

1.000

0.826 (0.382–1.787)

0.627

2.060 (0.857–4.950)

0.106

 

Model 4

1.000

1.827 (0.606–5.504)

0.284

5.175 (1.302–20.574)

0.020

 
  1. ISNA: in-stent neoatherosclerosis; TCFA: thin-cap fibroatheroma; Model 1 was adjusted for none. Model 2 was adjusted for age and gender. Model 3 was further adjusted for hypertension and atrial fibrillation on the basis of model 2. Model 4 was further adjusted for hemoglobin, ALT, NTPro-BNP and Troponin T on the basis of model 3; CI: Confidence interval, OR: Odds ratio; p Value<0.05 or the Bonferroni correction for two group comparison was a new significance level of 0.05/3 = 0.017.
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