An Algorithm for Predicting Neonatal Mortality in Threatened Very Preterm Birth

Abstract Objective To develop a prediction model for neonatal mortality using information readily available in the antenatal period. Methods A multiple logistic regression model of a complete population-based geographically defined cohort of very preterm infants of 23 + 0 to 30 + 6 weeks' gesta...

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Veröffentlicht in:	Journal of obstetrics and gynaecology Canada 2015-11, Vol.37 (11), p.958-965
Hauptverfasser:	Vincer, Michael J., MD, FRCPC, Armson, B. Anthony, MD, FRCSC, Allen, Victoria M., MD, FRCSC, Allen, Alexander C., MDCM, FRCPC, Stinson, Dora A., MD, FRCPC, Whyte, Robin, MBBS, FRCPC, Dodds, Linda, PhD
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cohort Studies Female Geography Gestational Age Humans Infant Infant Mortality Infant, Newborn Infant, Premature Infant, Premature, Diseases - mortality Logistic Models logistic regression Male Neonatal mortality Nova Scotia - epidemiology Obstetrics and Gynecology population based Predictive Value of Tests Pregnancy premature Prenatal Care Risk Factors
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