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Table 4 Univariable and multivariable association of factors with DCM

From: Medium & long-chain acylcarnitine’s relation to lipid metabolism as potential predictors for diabetic cardiomyopathy: a metabolomic study

Model

Factor

OR

95%CI

P

Model 1

Factor 1

5.73

2.53–12.96

< 0.001

 

Factor 2

1.36

1.01–1.82

0.042

 

Factor 3

1.42

1.06–1.90

0.018

 

Factor 4

4.43

2.32–8.46

< 0.001

 

Factor 5

0.98

0.74–1.29

0.877

 

Factor 6

0.28

0.17–0.45

< 0.001

Model 2

Factor 1

7.08

1.73–28.96

0.007

 

Factor 2

1.65

0.80–3.4

0.178

 

Factor 3

1.32

0.81–2.16

0.268

 

Factor 4

10.59

4.36–25.71

< 0.001

 

Factor 5

0.89

0.58–1.36

0.581

 

Factor 6

0.11

0.53–0.24

< 0.001

Model 3

Factor 1

10.09

2.78–36.58

0.01

 

Factor 2

1.42

0.96–2.11

0.08

 

Factor 3

1.47

0.99–2.18

0.056

 

Factor 4

3.33

1.45–7.67

0.004

 

Factor 5

0.73

0.48–1.12

0.152

 

Factor 6

0.23

0.12–0.47

< 0.001

  1. Model 1: Univariable model; Model 2: Multivariable model, adjusted for other
  2. Acylcarnitine factors; Model 3: Multivariable model, further adjusted for sex,
  3. body mass index, systolic blood pressure, diastolic blood pressure, total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, age, and postprandial blood glucose