Table 4.

Logistic regression models showing the association of getting severe COVID-19 disease and comparable clinical variables (that correspond to some features of clinical programs) among patients from the Massachusetts General Brigham healthcare system who were positive for SARS-CoV-2 between March and August of 2020 and had an ED encounter. Logistic regression models developed using glm function in R. Sample size (n) for each model mentioned in patient phenotype column.

Patient phenotype	Variable	Odds Ratio	95% CI	p-value
Older (n = 2187)	First O2 saturation	0.9074	[0.8870;0.9283]	<0.001
	Neutrophils	1.0547	[1.0419;1.0677]	<0.001
Diabetes (n = 886)	D-dimer	1.0002	[1.0001;1.0003]	< 0.001
	IL-6	1.0085	[1.0055;1.0115]	< 0.001
Obese (n = 2185)	D-dimer	1.0001	[1.0000;1.0002]	0.00806
	IL-6	1.0177	[1.0144;1.0210]	< 0.001
Hypertensive (1992)	D-dimer	1.0001	[1.0001;1.0002]	<0.001
	IL-6	1.017	[1.0135;1.0205]	<0.001