Journal article

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

LIM Koller-Smith, PS Shah, XY Ye, G Sjörs, YA Wang, SSW Chow, BA Darlow, SK Lee, S Håkanson, K Lui, P Marshall, P Craven, K Simmer, J Stack, D Knight, A Watkins, A Ramsden, K Tan, K Bawden, L Downe Show all

BMC Pediatrics | BMC | Published : 2017

Abstract

Background: Compared to very low gestational age (<32 weeks, VLGA) cohorts, very low birth weight (<1500 g; VLBW) cohorts are more prone to selection bias toward small-for-gestational age (SGA) infants, which may impact upon the validity of data for benchmarking purposes. Method: Data from all VLGA or VLBW infants admitted in the 3 Networks between 2008 and 2011 were used. Two-thirds of each network cohort was randomly selected to develop prediction models for mortality and composite adverse outcome (CAO: mortality or cerebral injuries, chronic lung disease, severe retinopathy or necrotizing enterocolitis) and the remaining for internal validation. Areas under the ROC curves (AUC) of the mod..

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Grants

Funding Acknowledgements

This study and the Australian and New Zealand Neonatal Network were supported from the ANZNN members' contribution and in part by a grant from Leslie Steven Grant for Newborn Care, Sydney Children's Hospital Foundation, Australia, and Royal Hospital for Women Foundation, New South Wales, Australia. The Canadian Neonatal Network is supported by funding from the Canadian Institutes of Health Research and from the Ministry of Health and Long Term Care, Ontario, Canada for infrastructure support to the Maternal-Infant Care Research Centre, which is the coordinating center for the network. Additional funding was provided by individual participating hospitals. The Swedish Neonatal Quality Register is supported by the Swedish Association of Local Authorities and Regions, with additional funding by the participating hospitals. The iNeo collaboration at the Mother-Infant Care Research Centre, Toronto conducted the data collation and analyses for this study, is funded by the Canadian Institute of Health Research.