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Table 2 Predictive models for mortality 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

14.1797

0.4661

<0.0001

12.9809

0.3814

<0.0001

GA (weeks)

−0.6128

0.0182

<0.0001

−0.5629

0.0146

<0.0001

BW z score

1.5657

0.3677

<0.0001

#

  

GA x BW z score

−0.067

0.014

<0.0001

#

  

Country (Sweden vs CA)

#

  

#

  

Country (Australia vs CA)

#

  

#

  

Gender (male)

0.3499

0.0642

<0.0001

0.2969

0.0616

<.0001

Antenatal steroid use

−0.6825

0.104

<0.0001

−0.5745

0.1008

<.0001

Singleton

#

  

#

  

Cesarean

#

  

#

  

Presentation (Vertex)

−0.1562

0.0639

0.015

−0.2213

0.0611

0.0003

Area under ROC curve

0.8303

0.0058

 

0.828

0.00585

 

Hosmer-Lemeshow test

  

0.18

  

0.15

  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