Table 3.

Univariate and Multivariable Logistic Regression Analysis for Admission Status of COVID-19 Patients (cohort A + B).

	COVID-19 outpatient (n = 204) vs inpatient (n = 81)
Covariate, effect	Univariate analysis, OR (95% CI), p	Multivariate analysis, aOR (95% CI), p
Age, ≥ 60 vs <60 years	2.26 (1.39–3.70), 0.001	0.60 (0.28–1.31), n.s.
gender, m vs f	3.38 (2.05–5.57), <0.001	1.37 (0.65–2.89), n.s.
CRP, per log2 increase∗	2.14 (1.78–2.59), <0.001	1.20 (0.87–1.66), n.s.
Serum ferritin, per log2 increase∗	1.64 (0.14–1.93), <0.001	1.57 (1.14–2.14), 0.005
Serum iron, per log2 increase∗	0.15 (0.10–0.23), <0.001	0.15 (0.09–0.26), <0.001
transferrin	0.15 (0.08–0.28), <0.001	0.90 (0.26–0.32), n.s.
Transferrin saturation, per log2 increase∗	0.20 (0.14–0.29), <0.001
Goodness-of- fit test†		Χ2 = 12.97 (8 df), p = 0.11

aOR = adjusted odds ratio; CI = confidence interval; COVID-19 = Coronavirus-disease 2019; df = degrees of freedom; OR = odds ratio.

^∗Each one unit increase in log2 corresponds to a doubling in the corresponding parameter.

^†Hosmer-Lemeshow test.