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Table 3 Multivariate Logistic regression analysis for the parameters affecting ROP (final model). Multivariate binary logistic regression analysis was performed to determine factors predicting ROP development. Backward stepwise regression was done, with potential confounders retained in the base models if they changed the effect of the explanatory variable (Bovine Colostrum) both clinically and statistically (changing the crude OR by ≥ 10%). Moreover, all the included variables were statistically significant (P < 0.05) in the univariate analysis. In case of collinearity between two or more variables, only one variable was retained in the model. Collinearity was found between (birth weight vs. gestational age) and (tachycardia vs. hypoactivity)

From: Do preterm infants’ retinas like bovine colostrum? A randomized controlled trial

 

P value

OR

Multivariate

95% C.I. for OR

Lower

Upper

Birth weight

< 0.001*

0.994

0.991

0.997

Hypothermia

0.098

2.815

0.825

9.601

weight gain

< 0.001*

0.987

0.980

0.994

  1. Variables in the base model were as follows: Bovine Colostrum, birth weight, weight gain, tachycardia, bronchopulmonary dysplasia, thermal abnormalities (hypothermia) and ventilation
  2. OR: Odd`s ratio C.I: Confidence interval *: Statistically significant at p ≤ 0.05