ArticleBMJ paediatrics open2019
Cross-validated prediction model for severe adverse neonatal outcomes in a term, non-anomalous, singleton cohort.
Article in BMJ paediatrics open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 19 citations in OpenAlex.
- Predicting Admission to Neonatal Care Unit at Mid-Pregnancy and Delivery Using Data from a General Obstetric Population.Maternal and child health journal · 2024Article
- Probabilistic ratiocination of hepatocellular carcinoma after resection: evaluation of expected to be promising approaches.Annals of translational medicine · 2021Article
- Factors Associated with Increased Risk of Early Severe Neonatal Morbidity in Late Preterm and Early Term Infants.Journal of clinical medicine · 2021Article
- Protocol for the development and validation of a risk prediction model for stillbirths from 35 weeks gestation in Australia.Diagnostic and prognostic research · 2020Article
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe 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.
designProspectively collected observational study. Mixed effects generalised linear models were used for modelling. Internal validation was performed using the K-fold cross-validation technique.
settingThis 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 measuresThe 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.
resultsThere 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.
conclusionsThe 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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