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Table 4 Multivariate models for the prediction of death or ICU admission in T2D and control patients

From: Cardiac adipose tissue volume assessed by computed tomography is a specific and independent predictor of early mortality and critical illness in COVID-19 in type 2-diabetic patients

 

Controls

T2D

OR

95% CI

p

OR

95% CI

p

MODEL 1

Age, years

1.04

1.01–1.07

0.02

1

0.94–1.02

0.29

Male sex

2.4

1.01–5.7

0.04

1.7

0.6–4.7

0.34

BMI, kg/m2

1

0.93–1.11

0.67

1.1

0.96–1.17

0.25

CATi, mL/m2 (continuous)

1

0.99–1.004

0.34

1.01

1.003–1.02

0.005

MODEL 2

CATi, mL/m2 (continuous)

1

0.99–1.01

0.6

1.01

1.003–1.02

0.005

Dyslipidemia

1.7

0.7–4.3

0.3

3.7

1.4–10.2

0.008

CRP, mg/L

1

0.999–1.001

0.09

1

0.998–1.01

0.1

CAC DRS = 3 or < 3

2.5

0.6–11

0.2

0.5

0.2–1.5

0.2

MODEL 3

CATi > 100 mL/m2 (dichotomous)

0.6

0.3–1.4

0.3

4.6

1.6–14

0.004

Dyslipidemia

1.8

0.7–4.5

0.2

3.8

1.4–10

0.007

CRP, mg/L

1

0.999–1.01

0.1

1

0.998–1.01

0.1

CAC DRS = 3 or < 3

2.5

0.6–12

0.2

0.5

0.2–1.5

0.2

  1. CATi cardiac adipose tissue index. BMI Body mass index, CRP C reactive protein, CAC-DRS coronary artery calcium and data system. Note: P values in bold indicate statistical significance P<0.05
  2. Model 1: Age, Male Sex, BMI, CATi. Controls: p = 0.07. Diabetes: p = 0.005
  3. Model 2: Dyslipidemia, CRP,CAC = 3, CATi. Controls: p = 0.11. Diabetes: p = 0.0002
  4. Model 3: Dyslipidemia, CRP,CAC = 3, CATi > 100 mL/m2. Controls: p = 0.07. Diabetes: p = 0.0001