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. 2020 Apr 2;40(2):87-93. doi: 10.5144/0256-4947.2020.87

Table 3.

Results of the binary logistic regression model for predictors of retinopathy of prematurity.

Variables in the Equation B S.E. Wald Exp (B) 95% C.I.for EXP (B) P value
Lower Upper
Last Stepa Length of hospital stay .008 .004 3.031 1.008 .999 1.016 .082
Body weight .002 .001 10.146 1.002 1.001 1.004 .001
History of multiple birth 6.564 .087
History of multiple birth (twin) -.910 .557 2.667 .402 .135 1.200 .102
History of multiple birth (triplet) .639 .518 1.519 1.895 .686 5.233 .218
History of multiple birth (quadruplet) -1.468 1.143 1.651 .230 .025 2.163 .199
Blood transfusion (yes) .788 .424 3.456 2.200 .958 5.051 .063
Phototherapy (yes) -.631 .359 3.094 .532 .264 1.075 .079
Constant -2.901 1.019 8.109 .055 .004
a

Variable(s) entered in step 1: Gender, length of hospital stay, gestational age (GA), birth weight (BW), history of multiple birth, intraventricular hemorrhage (IVH), sepsis, necrotizing enterocolitis (NEC), artificial ventilation, congenital heart disease (CHD), anemia, blood transfusion, respiratory distress syndrome (RDS), phototherapy, delivery mode. Variable(s) removed in Step 2: NEC, Step 3: IVH, Step 4: Artificial Ventilation, Step 5:GA, Step 6: Anemia, Step 7: Delivery Mode, Step 8: Sepsis, Step 9: CHD, Step 10: RDS, Step 11: Gender. Model fit measures: Deviance 189.108, Cox and Snell R squared .152, Nagelkerke R squared .203