Cross-validated prediction model for severe adverse neonatal outcomes in a term, non-anomalous, singleton cohort

Objective The aim of this study was to develop a predictive model using maternal, intrapartum and ultrasound variables for a composite of severe adverse neonatal outcomes (SANO) in term infants.Design Prospectively collected observational study. Mixed effects generalised linear models were used for...

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Main Authors: Christopher Flatley, Kristen Gibbons, Cameron Hurst, Vicki Flenady, Sailesh Kumar
Format: Article
Language:English
Published: BMJ Publishing Group 2019-09-01
Series:BMJ Paediatrics Open
Online Access:https://bmjpaedsopen.bmj.com/content/3/1/e000424.full
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author Christopher Flatley
Kristen Gibbons
Cameron Hurst
Vicki Flenady
Sailesh Kumar
author_facet Christopher Flatley
Kristen Gibbons
Cameron Hurst
Vicki Flenady
Sailesh Kumar
author_sort Christopher Flatley
collection DOAJ
description Objective The aim of this study was to develop a predictive model using maternal, intrapartum and ultrasound variables for a composite of severe adverse neonatal outcomes (SANO) in term infants.Design Prospectively collected observational study. Mixed effects generalised linear models were used for modelling. Internal validation was performed using the K-fold cross-validation technique.Setting This was a study of women that birthed at the Mater Mother’s Hospital in Brisbane, Australia between January 2010 and April 2017.Patients We included all term, non-anomalous singleton pregnancies that had an ultrasound performed between 36 and 38 weeks gestation and had recordings for the umbilical artery pulsatility index, middle cerebral artery pulsatility index and the estimated fetal weight (EFW).Main outcome measures The components of the SANO were: severe acidosis arterial, admission to the neonatal intensive care unit, Apgar score of ≤3 at 5 min or perinatal death.Results There were 5439 women identified during the study period that met the inclusion criteria, with 11.7% of this cohort having SANO. The final generalised linear mixed model consisted of the following variables: maternal ethnicity, socioeconomic score, nulliparity, induction of labour, method of birth and z-scores for EFW and cerebroplacental ratio. The final model had an area under the receiver operating characteristic curve of 0.71.Conclusions The results of this study demonstrate it is possible to predict infants that are at risk of SANO at term with moderate accuracy using a combination of maternal, intrapartum and ultrasound variables. Cross-validation analysis suggests a high calibration of the model.
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spelling doaj-art-ed5351db64564b7287e2ae939a3dc70d2024-11-30T22:30:09ZengBMJ Publishing GroupBMJ Paediatrics Open2399-97722019-09-013110.1136/bmjpo-2018-000424Cross-validated prediction model for severe adverse neonatal outcomes in a term, non-anomalous, singleton cohortChristopher Flatley0Kristen Gibbons1Cameron Hurst2Vicki Flenady3Sailesh Kumar41 Mater Research, Mater Research Institute/University of Queensland, Brisbane, Queensland, AustraliaChild Health Research Centre, Mater Medical Research Institute, South Brisbane, Queensland, Australia3 QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia1 Mater Research, Mater Research Institute/University of Queensland, Brisbane, Queensland, AustraliaMater Research Institute The University of Queensland, South Brisbane, Queensland, AustraliaObjective The aim of this study was to develop a predictive model using maternal, intrapartum and ultrasound variables for a composite of severe adverse neonatal outcomes (SANO) in term infants.Design Prospectively collected observational study. Mixed effects generalised linear models were used for modelling. Internal validation was performed using the K-fold cross-validation technique.Setting This was a study of women that birthed at the Mater Mother’s Hospital in Brisbane, Australia between January 2010 and April 2017.Patients We included all term, non-anomalous singleton pregnancies that had an ultrasound performed between 36 and 38 weeks gestation and had recordings for the umbilical artery pulsatility index, middle cerebral artery pulsatility index and the estimated fetal weight (EFW).Main outcome measures The components of the SANO were: severe acidosis arterial, admission to the neonatal intensive care unit, Apgar score of ≤3 at 5 min or perinatal death.Results There were 5439 women identified during the study period that met the inclusion criteria, with 11.7% of this cohort having SANO. The final generalised linear mixed model consisted of the following variables: maternal ethnicity, socioeconomic score, nulliparity, induction of labour, method of birth and z-scores for EFW and cerebroplacental ratio. The final model had an area under the receiver operating characteristic curve of 0.71.Conclusions The results of this study demonstrate it is possible to predict infants that are at risk of SANO at term with moderate accuracy using a combination of maternal, intrapartum and ultrasound variables. Cross-validation analysis suggests a high calibration of the model.https://bmjpaedsopen.bmj.com/content/3/1/e000424.full
spellingShingle Christopher Flatley
Kristen Gibbons
Cameron Hurst
Vicki Flenady
Sailesh Kumar
Cross-validated prediction model for severe adverse neonatal outcomes in a term, non-anomalous, singleton cohort
BMJ Paediatrics Open
title Cross-validated prediction model for severe adverse neonatal outcomes in a term, non-anomalous, singleton cohort
title_full Cross-validated prediction model for severe adverse neonatal outcomes in a term, non-anomalous, singleton cohort
title_fullStr Cross-validated prediction model for severe adverse neonatal outcomes in a term, non-anomalous, singleton cohort
title_full_unstemmed Cross-validated prediction model for severe adverse neonatal outcomes in a term, non-anomalous, singleton cohort
title_short Cross-validated prediction model for severe adverse neonatal outcomes in a term, non-anomalous, singleton cohort
title_sort cross validated prediction model for severe adverse neonatal outcomes in a term non anomalous singleton cohort
url https://bmjpaedsopen.bmj.com/content/3/1/e000424.full
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AT vickiflenady crossvalidatedpredictionmodelforsevereadverseneonataloutcomesinatermnonanomaloussingletoncohort
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