Table 3.

Predicting “mortality” using backward logistic regression results feature selection.

							95% CI for OR
	B	SE	Wald	df	p	OR	Lower	Upper
Age (young adult)			117.35	2	<.001
Age (Middle adult)	0.96	0.34	8.19	1	.004	2.62	1.35	5.06
Age (Older adult)	2.02	0.34	36.04	1	<.001	7.53	3.90	14.56
Sex (Male	0.34	0.09	12.83	1	<.001	1.40	1.16	1.68
Smoking status (Never)			6.97	2	.031
Smoking status (Former)	0.26	0.12	5.27	1	.022	1.30	1.04	1.63
Smoking status (Current)	0.42	0.28	2.22	1	.136	1.52	0.88	2.64
Diabetes	0.35	0.10	13.13	1	<.001	1.42	1.17	1.72
Hypertension	0.60	0.15	16.78	1	<.001	1.82	1.37	2.42
CKD stage 1–4	0.64	0.11	36.33	1	<.001	1.89	1.54	2.33
Heart failure	0.29	0.12	5.89	1	.015	1.33	1.06	1.68
Pneumonia	0.28	0.09	9.53	1	.002	1.33	1.11	1.59
ARBs	−0.36	0.11	11.66	1	<.001	0.70	0.57	0.86
ACEIs	−0.31	0.10	9.41	1	.002	0.74	0.60	0.90
Diarrhea	1.03	0.10	98.66	1	<.001	2.79	2.28	3.41
Constant	−4.74	0.33	206.70	1	<.001	0.01