Skip to main content
. 2023 Aug 10;11:1235636. doi: 10.3389/fpubh.2023.1235636

Table 2.

Binary logistic analysis for the factors affecting HAI.

B S.E. Wald Df Sig. OR
Age 0.019 0.016 1.445 1 0.229 1.019
DM 0.467 0.365 1.635 1 0.201 1.595
HTN 0.296 0.448 0.436 1 0.509 1.344
CAD −0.028 0.411 0.005 1 0.945 0.972
ICU −0.460 0.627 0.538 1 0.463 0.631
LOS 0.145 0.023 40.212 1 0.000 1.157
Baricitinib −0.137 0.458 0.089 1 0.765 0.872
NRFM 0.184 0.441 0.175 1 0.676 1.202
HFNC −0.126 0.518 0.059 1 0.808 0.882
BIPAP 0.907 0.425 4.557 1 0.033 2.477
MV 1.610 0.566 8.095 1 0.004 5.005
Constant −6.740 1.170 33.164 1 0.000 0.001

Dependent variable: HAI.

Variable(s) entered in the model: Age, DM, HTN, CAD, ICU admission, LOS, Baricitinib, NRFM, HFNC, BIPAP, MV.