Evidence map›Paper›PMID 39739767›Full record

ArticlePloS one2024

Prediction of neonatal survival among Pacific Islander preterm births in the US.

Bohao Wu, Sarah Taylor, Veronika Shabanova, Nicola L Hawley

Abstract read
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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Bohao WuDepartment of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0002-3278-196X
Sarah TaylorDivision of Neonatal-Perinatal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Veronika ShabanovaDepartment of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Nicola L HawleyDepartment of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0002-2601-3454

Funding

Development and assessment of population specific fetal growth referencesR03HD093993 · NICHD · YALE UNIVERSITY · PI HAWLEY, NICOLA · 2018 to 2019
$183k
NIH HHS R03HD093993
6 · The paper itself

Abstract

objectivePredicting neonatal survival is essential for targeting interventions to reduce neonatal mortality. Pacific Islanders have been underrepresented in existing prediction tools and have unique, maternal obesity-related risk factors for both preterm birth and neonatal mortality. Using neonatal sex, birth weight, and gestational age, we developed a graphical tool for neonatal survival among Pacific Islander singletons in the United States.

methodsBirth-infant death data files from the United States National Center for Health Statistics were used (2014-2018). Pacific Islander mothers and singletons without congenital anomalies born between 22-36 gestational weeks were included. Poisson regression models were used to predict neonatal mortality (<28 days of life) rate including neonatal sex, birth weight, and gestational age in weeks as predictors. Predicted survival rates in the graphical tool were calculated as "1 minus mortality rate".

resultsOf the 5192 included neonates, the neonatal mortality rate was 2.0%; 43.5% of mothers had pre-pregnancy obesity, and 16.5% of neonates were born large-for-gestational age. Birth weight and gestational age had a non-linear association with neonatal death, and their interaction was included in the model. Retaining neonatal sex, models with gestational age at birth or both birth weight and gestational age at birth performed better than the model with birth weight only.

conclusionThis is the first graphical tool for neonatal survival prediction among preterm-born Pacific Islander singletons in the United States. Using only neonatal sex, birth weight, and gestational age, this graphical tool is a straightforward reference for survival among groups of neonates with similar characteristics.

Indexed as

Birth WeightGestational AgeInfant MortalityPacific Island PeoplePremature BirthAdultFemaleHumansInfantInfant, NewbornMalePregnancyRisk FactorsUnited States

Identifiers

PMID39739767
PMCPMC11687717

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