Table 3.

The logistic regression model for prediction of mortality

Variable	Unadjusted ORi (95% CIf)	Adjusted OR (95% CI)	P-value
ACEIsa/ARBsb	1.3 (1.1,1.7)	0.5 (0.4,0.7)	< 0.001
CVDc	2.0 (1.7,2.5)	1.1 (0.8,1.5)	0.480
CKDd	1.4 (1.0,1.9)	1.1 (0.7,1.5)	0.658
CPDe	2.0 (1.7,2.5)	1.8 (1.4,2.2)	< 0.001
DMg	1.8 (1.5,2.3)	1.3 (1.0,1.6)	0.073
Malignancy	2.4 (1.2,4.5)	2.7 (1.3,5.3)	0.005
Chronic use of immunosuppressants	8.3 (4.1,16.9)	7.5 (3.3,16.7)	< 0.001
Gender	1.2 (1.0,1.5)	1.2 (1.0,1.6)	0.049
Age	1.5j (1.4,1.6)	1.5 j (1.4,1.6)	< 0.001
LOS	1.07 (1.05,1.09)	1.03 (1.01,1.05)	0.002
ICUh admission	2.4 (1.9,2.9)	1.7 (1.3,2.1)	< 0.001
Diuretics	2.8 (1.6, 4.8)	1.3 (0.7, 2.5)	0.392
Beta-blockers	2.0 (1.5, 2.8)	1.2 (0.8, 1.8)	0.302
Calcium channel blockers	2.2 (1.6, 2.9)	1.1 (0.8, 1.6)	0.571

Model is adjusted for angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, cardiovascular disease, chronic kidney disease, chronic pulmonary disease, diabetes mellitus, intensive care unit, diuretics, beta-blockers, and calcium channel blockers

^aAngiotensin-converting enzyme inhibitors

^bAngiotensin receptor blockers

^cCardiovascular disease

^dChronic kidney disease

^eChronic pulmonary disease

^fConfidence interval

^gDiabetes mellitus

^hIntensive care unit

ⁱOdds ratio

^jFor every 10 years increase