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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