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Table 2 Multivariable logistic regression models for factors associated with severe outcomes in SARS-CoV-2 pneumonia

From: Artificial intelligence-based analysis of the spatial distribution of abnormal computed tomography patterns in SARS-CoV-2 pneumonia: association with disease severity

Characteristics

Model 1

Model 2

Model 3

Odds ratio

P value

Odds ratio

P value

Odds ratio

P value

GGO(C/P)

–

–

–

–

8.67

(2.30–32.6)

0.001

CON(C/P)

–

–

–

–

0.89

(0.59–1.35)

0.58

GGO% whole lung

–

–

1.09

(1.06–1.12)

 < 0.001

1.06

(1.02–1.09)

0.001

CON% whole lung

–

–

1.12

(1.05–1.20)

0.001

1.09

(1.01–1.17)

0.019

Sex (male)

1.99

(1.12–3.53)

0.02

2.79

(1.40–5.60)

0.004

2.80

(1.37–5.70)

0.005

Age

1.06

(1.04–1.08)

 < 0.001

1.06

(1.03–1.08)

 < 0.001

1.06

(1.03–1.08)

 < 0.001

Chronic heart disease

1.17

(0.54–2.55)

0.69

0.855

(0.358–2.04)

0.72

0.74

(0.31–1.80)

0.51

Chronic kidney disease

1.47

(0.58–3.69)

0.41

1.71

(0.614–4.77)

0.30

2.03

(0.71–5.77)

0.19

Diabetes mellitus

1.24

(0.69–2.21)

0.47

0.74

(0.37–1.46)

0.38

0.80

(0.40–1.58)

0.52

CT-date

1.02

(0.95–1.01)

0.69

0.95

(0.87–1.04)

0.26

0.92

(0.84–1.01)

0.09

  1. Values indicate Odds ratio (95% confidence interval). GGO% and CON% represent the percentage of lungs occupied by ground-glass opacification/opacity (GGO) and consolidation (CON), respectively. GGO(C/P) and CON(C/P) represent the ratios of GGO and CON areas in the central regions to those in peripheral regions, respectively. CT-date = interval between symptom onset and CT acquisition