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. 2022 May 25;17(5):e0268530. doi: 10.1371/journal.pone.0268530

Table 2. Multinomial logistic regression with dependent variable severity of disease.

Covariates Severity of disease
Hospitalization ICU
OR (95% CI) p OR (95% CI) p
Univariate models:
CMV-reactive 3.4 (2.0, 5.9) < 0.001 4.5 (2.3, 8.6) < 0.001
HSV-reactive 6.0 (2.6, 13.9) < 0.001 10.2 (3.0, 35.0) < 0.001
Age group 1.4 (1.2, 1.6) < 0.001 2.1 (1.7, 2.7) < 0.001
Male 1.5 (0.9, 2.5) 0.433 2.8 (1.6, 5.2) 0.001
Cardio-vascular co-morbidity 13.0 (5.8, 29.0) < 0.001 32.3 (13.4, 77.7) < 0.001
Respiratory co-morbidity 2.7 (1.0, 7.5) 0.065 3.7 (1.3, 10.8) 0.018
Nephrological co-morbidity * 24.2 (1.3, 433.4) 0.031 31.5 (1.7, 584.0) 0.021
Diabetes mellitus 6.3 (2.1, 18.6) 0.001 9.1 (3.0, 27.7) < 0.001
Any comorbidity 8.2 (4.5, 15.0) < 0.001 29.7 (12.8, 69.0) < 0.001
Multivariate model 1:
CMV-reactive 3.1 (1.7, 5.6) < 0.001 5.0 (2.4, 10.5) < 0.001
HSV-reactive 3.6 (1.5, 8.9) 0.005 4.5 (1.2, 17.6) 0.029
Age group 1.3 (1.1, 1.6) 0.003 2.2 (1.7, 2.8) < 0.001
Multivariate model 2:
CMV-reactive 3.1 (1.6, 5.9) 0.001 5.2 (2.3, 12.1) < 0.001
HSV-reactive 4.8 (1.8, 13.1) 0.002 6.5 (1.5, 28.2) 0.012
Age group 1.0 (0.8, 1.3) 0.856 1.5 (1.1, 2.0) 0.005
Any comorbidity 8.1 (4.0, 16.7) < 0.001 22.5 (8.4, 59.9) < 0.001

The reference category is: Mild disease.

* Firth Penalized Likelihood correction in two separate binary logistic regression models due to quasi-complete separation of the data; Firth’s correction is not yet implemented for multinomial regression.