Table 5.

Subgroup Analysis: Logistic Regression analysis of the composite endpoint of severe outcomes in patients with no anemia on admission who later become anemic

	Unadjusted Model			Adjusted Model I
	OR	95% CI	P-value	aOR1	95% CI	P-value
Demographics
Age > 65	2.361	1.470–3.791	<0.001	2.792	1.527–5.103	0.001
BMI	1.000	0.970–1.031	0.993
Male Sex	1.349	0.847–2.147	0.207	1.479	0.847–2.585	0.168
Comorbidities
DM	1.236	0.768–1.991	0.382	1.120	0.624–2.010	0.704
HTN	1.397	0.854–2.286	0.182	0.876	0.450–1.704	0.695
HLD	1.497	0.939–2.387	0.089	1.243	0.688–2.246	0.469
Heart Disease	1.328	0.764–2.309	0.313	0.888	0.441–1.786	0.738
Asthma	1.160	0.559–2.406	0.689
COPD	1.661	0.684–4.031	0.261	1.272	0.414–3.910	0.673
Kidney Disease**	1.616	0.883–2.956	0.119
Cancer	1.330	0.636–2.781	0.448
Lab Findings
Ferritin*	1.000	1.000–1.000	0.017
D-dimer*	1.135	1.062–1.212	<0.001
WBC	1.152	1.080–1.229	<0.001	1.139	1.061–1.222	<0.001
CRP*	1.108	1.062–1.156	<0.001
Platelet	1.000	0.998–1.002	0.913
ALT***	1.004	0.999–1.009	0.091
AST	1.008	1.002–1.014	0.005	1.007	1.001–1.013	0.015
Creatinine	1.325	0.995–1.764	0.054	1.132	0.934–1.372	0.204
Classifications
Becoming anemic vs. none	1.693	1.062–2.701	0.027	1.737	1.033–2.922	0.037

Total subgroup n = 295, a subset of sample who did not have anemic hemoglobin levels on admission.¹Adjusted Odds Ratio. *Variables with 20% or missing values were not included in the multivariable model: ferritin, D-dimer, CRP due to too many missing values. **Chronic Kidney Disease was not included in multivariable models because of the high correlation with creatinine which appeared to be the highest predictive variable in bivariate analysis. *** ALT was not included in multivariable models because of the high correlation with AST which appeared to be the highest predictive variable in bivariate analysis.