Table 5.

Logistic regression results for predicting mortality

Predictor	Sample (n)	Odds Ratio	95% CI	P Value
Initial AM-PAC mobility	All (n=1453)	0.885	0.846-0.925	<.001
	COVID as primary/admitting diagnosis
	Yes (n=690)	0.883	0.825-0.945	<.001
	No (n= 761)	0.883	0.830-0.939	<.001
	ICU
	Yes (n=519)	0.940	0.885-0.998	.043
	No (n=929)	0.867	0.809-0.929	<.001
	Cohort
	First (n=847)	0.884	0.842-0.929	<.001
	Second (n=606)	0.955	0.864-1.055	.362
Initial AM-PAC Activity	All (n=1200)	0.877	0.835-0.921	<.001
	COVID as primary/admitting diagnosis
	Yes (n=566)	0.867	0.803-0.937	<.001
	No (n=613)	0.878	0.820-0.940	<.001
	ICU
	Yes (n=447)	0.907	0.843-0.975	.009
	No (n=730)	0.862	0.803-0.926	<.001
	Cohort
	First (n=686)	0.856	0.823-0.917	<.001
	Second (n=514)	0.959	0.841-1.093	.533

NOTE. Results of the main (sample=all) and subanalyses on different subsets of the cohort (eg, only those with COVID-19 as a primary or admitting diagnosis, etc). Model P<.001 for all analyses. Nagelkerke R² ranged from 0.449-0.512.