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Table 3 Predictive models for composite adverse outcome developed using data from ANZNN, CNN and SNQ 2008–2011

From: Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants

  (a) Model based on BW cohort (b) Model based on GA cohort
Covariates Estimate SE P-value Estimate SE P-value
Intercept 18.66 0.363 <0.0001 17.8 0.285 <0.0001
GA (weeks) −0.682 0.013 <0.0001 −0.649 0.01 <0.0001
BW z score 1.386 0.272 <0.0001 −0.15 0.022 <0.0001
GA x BW z score −0.057 0.01 <0.0001 #   
Country (sweden vs CA) −0.427 0.07 <0.0001 −0.326 0.065 <0.0001
Country (Australia vs CA) −0.416 0.045 <0.0001 −0.371 0.042 <0.0001
Gender (male) 0.192 0.042 <0.0001 0.257 0.039 <0.0001
Antenatal steroid use −0.259 0.08 0.0012 −0.237 0.075 0.002
Singleton #    #   
Cesarean 0.3 0.044 <0.0001 0.241 0.04 <0.0001
Presentation (Vertex) #    #   
Area under ROC curve 0.837 0.0033   0.835 0.003  
Hosmer-Lemeshow test    0.19    0.373
  1. Multiple logistic regression models were applied to obtain the final predictive models using stepwise variable selection procedure with inclusion and exclusion criterion of 0.05; # = excluded by the variable selection procedure
  2. Notes: BW z score Birth weight z score, GA x BW z score interaction between GA and Birth weight z score, Estimate estimated coefficient of the covariate, SE standard error
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