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Table 4 Multivariate logistic regression for predicting severe COVID-19

From: Nomogram to identify severe coronavirus disease 2019 (COVID-19) based on initial clinical and CT characteristics: a multi-center study

Variable

β

Odds ratio (95% CI)

P

Age

0.057

1.059 (1.008–1.112)

0.023

Diabetes

−0.771

0.463 (0.043–4.740)

0.523

Coronary heart disease

1.607

4.989 (0.221–112.387)

0.312

Leucocyte counts

−0.773

0.462 (0.076–2.803)

0.401

Neutrophil counts

0.956

2.601 (0.297–22.798)

0.388

Lymphocyte counts

0.036

1.036 (0.031–34.662)

0.984

Platelet

0.018

1.018 (0.984–1.053)

0.314

NLR

0.245

1.278 (0.432–3.780)

0.657

PLR

−0.007

0.993 (0.963–1.023)

0.633

CRP

−0.009

0.991 (0.974–1.008)

0.299

Location

9.328

2.508 (0.285–21.058)

0.395

Distribution

0.762

2.143 (0.32–14.366)

0.432

Morphology

−0.343

0.710 (0.238–2.121)

0.539

Density

1.546

4.694 (1.125–19.588)

0.034

Vascular bundle thickening

1.362

3.903 (0.515–29.559)

0.187

Air bronchogram sign

1.553

4.726 (0.785–28.457)

0.090

Crazy-paving sign

−0.414

0.661 (0.147–2.974)

0.590

Mosaic perfusion sign

5.562

260.314 (0.811–83,530.33)

0.039

Number of segments involved

−0.300

0.741 (0.531–1.035)

0.079

Severity score of lung

0.658

1.931 (1.100–3.391)

0.022

  1. Note: NLR neutrophil-to-lymphocyte ratio, PLR platelet-to-lymphocyte ratio, CRP C-reactive protein, β regression coefficient
  2. P < 0.05 indicates statistical significance