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Table 3 Logistic regression analysis for potential predictors of ISR

From: A prediction model based on platelet parameters, lipid levels, and angiographic characteristics to predict in-stent restenosis in coronary artery disease patients implanted with drug-eluting stents

 

Univariate analysis

Multivariate analysis

Parameters

OR

(95%CI)

Wald χ2

P

OR

(95%CI)

Wald χ2

P

TC

1.19

(1.05–1.36)

7.08

0.008*

1.18

(1.01–1.39)

4.25

0.039*

HDL

1.40

(1.04–1.88)

4.97

0.026*

    

LDL-C

1.44

(1.11–1.87)

7.33

0.007*

1.34

(1.02–1.76)

4.38

0.036*

SBP

1.01

(1.00–1.02)

6.12

0.013*

1.01

(1.01–1.02)

6.08

0.014*

MI

1.96

(1.13–3.41)

5.72

0.017*

2.34

(1.32–4.15)

8.55

0.003*

PDW

1.14

(1.03–1.27)

5.88

0.015*

1.17

(1.05–1.31)

7.85

0.005*

RCA

1.91

(1.08–3.38)

5.01

0.025*

    

Lesion vessels

1.27

(1.05–1.53)

5.90

0.015*

1.32

(1.06–1.64)

3.08

0.012*

  1. * P < 0.05. Abbreviations: ISR in-stent restenosis, BMI body mass index, MI myocardial infarction, PDW platelet distribution width, LDL-C low-density lipoprotein cholesterol, HDL high density lipoprotein, TC total cholesterol, TG triglyceride, RCA right coronary artery. Adjust: TC, HDL, LDL-C, SBP, MI, PDW, RCA, lesion vessels
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Lipids in Health and Disease

ISSN: 1476-511X