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. 2024 Aug 26;14(17):1866. doi: 10.3390/diagnostics14171866

Table 5.

Backward binary logistic regression for predicting MV requirement.

95% CI for OR
Features B SE Wald df p OR Lower Upper
Age 0.43 0.11 15.27 1 <0.001 1.54 1.24 1.91
BMI 0.14 0.08 3.31 1 0.069 1.15 0.99 1.34
Sex 0.32 0.11 7.94 1 0.005 1.38 1.10 1.72
Black 9.48 2 0.009
Other 0.12 0.13 0.81 1 0.369 1.12 0.87 1.44
White −0.41 0.19 4.81 1 0.028 0.67 0.46 0.96
Diabetes 0.49 0.12 16.71 1 <0.001 1.63 1.29 2.05
Hypertension 0.73 0.17 18.98 1 <0.001 2.08 1.50 2.89
CKD Stages 1 to 4 0.57 0.14 17.47 1 <0.001 1.76 1.35 2.30
Cardiac Arrhythmias −0.38 0.18 4.34 1 0.037 0.69 0.48 0.98
Cerebrovascular Disease −0.52 0.26 3.90 1 0.048 0.60 0.36 1.00
Pneumonia 0.35 0.11 10.24 1 0.001 1.43 1.15 1.77
ARBs −0.44 0.13 11.11 1 <0.001 0.65 0.50 0.84
ACEIs −0.28 0.12 4.97 1 0.026 0.76 0.60 0.97
Diarrhea 1.84 0.11 268.20 1 <0.001 6.31 5.06 7.87
Dependence on Renal Dialysis 0.69 0.26 7.01 1 0.008 1.99 1.20 3.30
Constant −4.94 0.30 267.94 1 <0.001 0.01

Note. Nagelkerke R square = 0.202; classification = 92.5%.