Table 4.

Multivariate logistic regression analysis for assessing independent predictors for mortality

	Sig	Unadjusted OR (95% CI)	Adjusted OR (95% CI)
Model 1
Age	0.002*	1.05 (1.03–1.06)	1.035 (1.012–1.058)
Neutrophil to lymphocyte ratio(NLR)	0.024*	1.04 (1.02–1.06)	1.021 (1.00–1.04)
CFS	< 0.001*	1.45 (1.30–1.62)	1.132 (1.13–1.53)
CRP	< 0.001*	1.006 (1.004–1.009)	1.006 (1.003–1.009)
Creatinine	0.070	1.004 (1.001–1.008)	1.002 (0.999–1.005)
SFR	< 0.001*	0.993 (0.990–0.995)	0.995 (0.993–0.998)
Constant	< 0.001*		0.020 (0–0.01)
Model 2
Age	< 0.001*	1.05 (1.03–1.06)	1.038 (1.013–1.063)
Male gender	0.113		1.583 (0.896–2.797)
Neutrophil to lymphocyte ratio(NLR)	0.050	1.04 (1.02–1.06)	1.019 (0.999–1.039)
CFS	< 0.001*	1.45 (1.30–1.62)	1.356 (1.145–1.606)
CRP	< 0.001*	1.006 (1.004–1.009)	1.006 (1.002–1.009)
Creatinine	0.121	1.004 (1.001–1.008)	1.002 (0.999–1.005)
SFR	0.094	0.993 (0.990–0.995)	0.997 (0.994–1)
LOS	0.038	0.997 (0.979–1.015)	0.971 (0.946–0.998)
Supp Oxygen (Yes)	< 0.001*	12.25 (5.94–25.25)	7.66 (3.24–18.10)
CXR	0.059	1.73 (1.22–2.46)	1.585 (0.981–2.56)
Constant			0 (0–0.01)

Model1: Variables initially included: Age, gender, CFS, Comorbidities > 2, Neutrophil to lymphocyte ratio(NLR)

CRP, creatinine, RR, CPAP, SFR, Total LOS, interaction CPAP*CFS

Model2: Variables initially included were the same as model 1 + Supp 02 and CXR.pseusoR²_model1 = 25.2%, pseusoR²_model2 = 32.6% which mean Sup 02 as a significant predictor could explain additional 7.4% of variance in mortality outcome

Model1 cross validation accuracy on test set = 78.3%, AUROC = 0.842.Model2 cross validation accuracy on test set = 78.1%, AUROC = 0.871