Table 2 Multivariate logistic regression analysis for risk of death in critical COVID-19 patients.

From: Exploration of prognostic factors for critical COVID-19 patients using a nomogram model

Items

OR (95%CI)

p

Model 1

Age

1.106 (1.048–1.168)

 < 0.001

Sex

3.885 (1.409–10.717)

0.009

Body temperature

0.513 (0.317–0.832)

0.007

Model 2

Coronary heart disease

5.222 (1.388–19.651)

0.015

Model 3

WBC

1.326 (1.032–1.702)

0.027

L

0.064 (0.007–0.598)

0.016

PLT

0.989 (0.978–1.000)

0.041

hs-CRP

1.030 (1.010–1.051)

0.003

eGFR

0.953 (0.919–0.987)

0.008

Model 4

Age

1.135 (1.045–1.232)

0.003

WBC

1.313 (1.027–1.678)

0.030

L

0.048 (0.005–0.485)

0.010

PLT

0.986 (0.974–0.998)

0.023

hs-CRP

1.028 (1.008–1.049)

0.006

  1. Model 1: logistic regression analysis of age, sex, smoking habits, body temperature; Model 2: logistic regression analysis of the presence of hypertension, diabetes, and coronary heart disease; Model 3: logistic regression analysis of peripheral white blood cell count (WBC), lymphocyte count (L), platelet count (PLT), high-sensitivity C-reactive protein (hs-CRP), estimated glomerular filtration rate (eGFR), d-dimer (D-D), and troponin I (TnI); Model 4: logistic regression analysis of all items above.
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