Skip to main content
. 2020 Dec 7;18:461. doi: 10.1186/s12967-020-02655-8

Table 5.

Logistic regression modeling evaluating risk factors for severe COVID-19 in middle-aged (40–59 years) patients without comorbidities

Variables Univariate logistic regression Multivariate logistic regression
OR 95% CI p valuea OR 95% CI p valuea
Fever > 39℃ 3.648 1.221–10.905  < 0.001
Myalgia 4.850 0.986–23.846 0.052
Dyspnea 5.803 1.780–18.919 0.004
White blood cell count 1.229 1.049–1.440 0.011
Neutrophil count 1.297 1.097–1.533 0.002
Lymphocyte count 0.045 0.008–0.253  < 0.001
NLR 1.245 1.132–1.368  < 0.001 1.238 1.110–1.382  < 0.001
Platelet count 0.996 0.990–1.002 0.156
D-dimer > 1 μg/ml 16.121 4.246–61.210  < 0.001 16.079 3.162–81.775 0.001
ALT 1.006 0.999–1.013 0.088
Albumin 0.828 0.710–0.965 0.016
LDH 1.007 1.002–1.011 0.003
Procalcitonin 1.753 0.106–28.863 0.695
SOFA 1.854 1.268–2.711 0.001

COVID-19 coronavirus disease 2019, OR Odds Ratio, CI confidence interval, NLR neutrophil to lymphocyte ratio, ALT alanine amino transferase, LDH lactate dehydrogenase, SOFA Sequential Organ Failure Assessment

ap < 0.05 was considered statistically significant