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Table 4 Associations with CVD presented for three models

From: Galectin-3, metalloproteinase-2 and cardiovascular disease were independently associated with metalloproteinase-14 in patients with type 1 diabetes: a cross sectional study

Cardiovascular disease

 

COR (CI 95%)

P value

Model 1a

Model 2b

Model 3c

AOR (CI 95%)

P valuea

AOR (CI 95%)

P valueb

AOR (CI 95%)

P valuec

Age (per year)

1.16 (1.03–1.30)

0.016

1.10 (0.98–1.25)

0.12

–

–

–

–

Diabetes duration (per year)

1.10 (1.014–1.15)

0.016

1.10 (1.02–1.18)

0.016

1.13 (1.03–1.24)

0.008

1.10 (1.02–1.18)

0.012

Abdominal obesity

7.6 (1.6–35.5)

0.009

10.2 (1.7–62)

0.011

24.5 (2.8–217)

0.004

15.8 (2.2–113)

0.006

Depression

7.8 (1.6–36.8)

0.010

5.9 (0.9–40)

0.069

22.1 (2.4–201)

0.006

17.4 (2.2–135)

0.006

Antihypertensive drugs (users)

5.6 (1.1–29.2)

0.043

1.7 (0.2–13.6)

0.63

–

–

–

–

Statins (users)

7.5 (0.9–63.2)

0.06

3.0 (0.2–37)

0.40

–

–

–

–

Antidepressants (users)

12.3 (2.5–60.0)

0.002

5.0 (0.8–32)

0.090

4.8 (0.7–33)

0.12

4.6 (0.6–35)

0.13

MMP-14 (per ng/mL)

1.01 (1.00–1.01)

0.060

–

–

1.01 (1.00–1.02)

0.005

–

–

High MMP-14 (≥  5.81 ng/mL)

8.0 (1.5–42.4)

0.014

–

–

–

–

14.2 (2.0–101)

0.008

TIMP-2 (per ng/mL)

1.01 (1.00–1.02)

0.102

–

–

–

–

–

–

LDL-cholesterol (per mmol/L)

0.3 (0.1–1.2)

0.085

0.5 (0.1–2.4)

0.38

–

–

–

–

  1. Nagelkerke R Square: a0.360/b, c0.452; Hosmer and Lemeshow Test: a0.533/b, c0.956
  2. a–cMultiple logistic regression analysis: backward (Wald): N  =  a, b, c263
  3. aNo biochemical variables are included
  4. bVariables with P values  <  0.10 in model 1 and MMP-14 used as a continuous variable were included
  5. cContinuous MMP-14 was exchanged by high MMP-14, otherwise the variables were the same as in model 2