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Survival prediction modelling in extreme prematurity: are days important?
Timothy Schindler1,2, Andrew Hayen3, Alvin Hock Kuan Tan4
1Department of Newborn Care, Royal Hospital for Women, Sydney, NSW, Australia. tim.schindler@health.nsw.gov.au.
Objective:
To demonstrate that days are important in extreme prematurity when creating survival prediction models based on gestation.
Study Design:
Prospectively collected data were analysed for all admitted infants born 23 + 0 to 27 + 6 weeks gestation in the Australian and New Zealand Neonatal Network from 2009 to 2016. The effect of days on observed survival rates was assessed using a non-parametric test for trend. Prediction models created based on gestational age in completed weeks only or weeks plus days were compared.
Result:
Seven thousand eight hundred and thirty-six extreme preterm infants were studied. Observed survival increased with days for 23, 24, 25, and 27 weeks gestational age (P = 0.01; P < 0.001; P = 0.003; P = 0.003) but not for 26 weeks (P = 0.19). A survival prediction model based on weeks and days performed better than completed weeks only (AUC 0.722 vs 0.712; P < 0.001).
Conclusion:
In extreme prematurity, survival estimate accuracy improves when survival prediction models include days in addition to weeks.
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