Predicting Long-Term Survival Without Major Disability for Infants Born Preterm

Objective: To describe the long-term neurodevelopmental and cognitive outcomes for children born preterm. Study design: In this retrospective cohort study, information on children born in Western Australia between 1983 and 2010 was obtained through linkage to population databases on births, deaths,...

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Main Authors: Bourke, J., Wong, K., Srinivasjois, Ravisha, Pereira, Gavin, Shepherd, Carrington, White, S.W., Stanley, F., Leonard, H.
Format: Journal Article
Language:English
Published: MOSBY-ELSEVIER 2019
Subjects:
Online Access:http://purl.org/au-research/grants/nhmrc/1117105
http://hdl.handle.net/20.500.11937/93221
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author Bourke, J.
Wong, K.
Srinivasjois, Ravisha
Pereira, Gavin
Shepherd, Carrington
White, S.W.
Stanley, F.
Leonard, H.
author_facet Bourke, J.
Wong, K.
Srinivasjois, Ravisha
Pereira, Gavin
Shepherd, Carrington
White, S.W.
Stanley, F.
Leonard, H.
author_sort Bourke, J.
building Curtin Institutional Repository
collection Online Access
description Objective: To describe the long-term neurodevelopmental and cognitive outcomes for children born preterm. Study design: In this retrospective cohort study, information on children born in Western Australia between 1983 and 2010 was obtained through linkage to population databases on births, deaths, and disabilities. For the purpose of this study, disability was defined as a diagnosis of intellectual disability, autism, or cerebral palsy. The Kaplan–Meier method was used to estimate the probability of disability-free survival up to age 25 years by gestational age. The effect of covariates and predicted survival was examined using parametric survival models. Results: Of the 720 901 recorded live births, 12 083 children were diagnosed with disability, and 5662 died without any disability diagnosis. The estimated probability of disability-free survival to 25 years was 4.1% for those born at gestational age 22 weeks, 19.7% for those born at 23 weeks, 42.4% for those born at 24 weeks, 53.0% for those born at 25 weeks, 78.3% for those born at 28 weeks, and 97.2% for those born full term (39-41 weeks). There was substantial disparity in the predicted probability of disability-free survival for children born at all gestational ages by birth profile, with 5-year estimates of 4.9% and 10.4% among Aboriginal and Caucasian populations, respectively, born at 24-27 weeks and considered at high risk (based on low Apgar score, male sex, low sociodemographic status, and remote region of residence) and 91.2% and 93.3%, respectively, for those at low risk (ie, high Apgar score, female sex, high sociodemographic status, residence in a major city). Conclusions: Apgar score, birth weight, sex, socioeconomic status, and maternal ethnicity, in addition to gestational age, have pronounced impacts on disability-free survival.
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spelling curtin-20.500.11937-932212023-10-06T07:41:55Z Predicting Long-Term Survival Without Major Disability for Infants Born Preterm Bourke, J. Wong, K. Srinivasjois, Ravisha Pereira, Gavin Shepherd, Carrington White, S.W. Stanley, F. Leonard, H. Science & Technology Life Sciences & Biomedicine Pediatrics ACTIVE PERINATAL-CARE NEURODEVELOPMENTAL OUTCOMES EXTREME PREMATURITY GESTATIONAL-AGE MORTALITY DISPARITIES MANAGEMENT MORBIDITY CHILDREN BIRTH Adult Developmental Disabilities Female Follow-Up Studies Forecasting Gestational Age Humans Incidence Infant Infant Mortality Infant, Newborn Infant, Premature Male Retrospective Studies Western Australia Young Adult Humans Incidence Infant Mortality Retrospective Studies Follow-Up Studies Developmental Disabilities Gestational Age Forecasting Adult Infant Infant, Newborn Infant, Premature Western Australia Female Male Young Adult Objective: To describe the long-term neurodevelopmental and cognitive outcomes for children born preterm. Study design: In this retrospective cohort study, information on children born in Western Australia between 1983 and 2010 was obtained through linkage to population databases on births, deaths, and disabilities. For the purpose of this study, disability was defined as a diagnosis of intellectual disability, autism, or cerebral palsy. The Kaplan–Meier method was used to estimate the probability of disability-free survival up to age 25 years by gestational age. The effect of covariates and predicted survival was examined using parametric survival models. Results: Of the 720 901 recorded live births, 12 083 children were diagnosed with disability, and 5662 died without any disability diagnosis. The estimated probability of disability-free survival to 25 years was 4.1% for those born at gestational age 22 weeks, 19.7% for those born at 23 weeks, 42.4% for those born at 24 weeks, 53.0% for those born at 25 weeks, 78.3% for those born at 28 weeks, and 97.2% for those born full term (39-41 weeks). There was substantial disparity in the predicted probability of disability-free survival for children born at all gestational ages by birth profile, with 5-year estimates of 4.9% and 10.4% among Aboriginal and Caucasian populations, respectively, born at 24-27 weeks and considered at high risk (based on low Apgar score, male sex, low sociodemographic status, and remote region of residence) and 91.2% and 93.3%, respectively, for those at low risk (ie, high Apgar score, female sex, high sociodemographic status, residence in a major city). Conclusions: Apgar score, birth weight, sex, socioeconomic status, and maternal ethnicity, in addition to gestational age, have pronounced impacts on disability-free survival. 2019 Journal Article http://hdl.handle.net/20.500.11937/93221 10.1016/j.jpeds.2019.07.056 English http://purl.org/au-research/grants/nhmrc/1117105 http://purl.org/au-research/grants/nhmrc/1127265 http://purl.org/au-research/grants/nhmrc/1052236 http://purl.org/au-research/grants/nhmrc/1099655 http://purl.org/au-research/grants/nhmrc/1047263 http://purl.org/au-research/grants/nhmrc/572742 MOSBY-ELSEVIER unknown
spellingShingle Science & Technology
Life Sciences & Biomedicine
Pediatrics
ACTIVE PERINATAL-CARE
NEURODEVELOPMENTAL OUTCOMES
EXTREME PREMATURITY
GESTATIONAL-AGE
MORTALITY
DISPARITIES
MANAGEMENT
MORBIDITY
CHILDREN
BIRTH
Adult
Developmental Disabilities
Female
Follow-Up Studies
Forecasting
Gestational Age
Humans
Incidence
Infant
Infant Mortality
Infant, Newborn
Infant, Premature
Male
Retrospective Studies
Western Australia
Young Adult
Humans
Incidence
Infant Mortality
Retrospective Studies
Follow-Up Studies
Developmental Disabilities
Gestational Age
Forecasting
Adult
Infant
Infant, Newborn
Infant, Premature
Western Australia
Female
Male
Young Adult
Bourke, J.
Wong, K.
Srinivasjois, Ravisha
Pereira, Gavin
Shepherd, Carrington
White, S.W.
Stanley, F.
Leonard, H.
Predicting Long-Term Survival Without Major Disability for Infants Born Preterm
title Predicting Long-Term Survival Without Major Disability for Infants Born Preterm
title_full Predicting Long-Term Survival Without Major Disability for Infants Born Preterm
title_fullStr Predicting Long-Term Survival Without Major Disability for Infants Born Preterm
title_full_unstemmed Predicting Long-Term Survival Without Major Disability for Infants Born Preterm
title_short Predicting Long-Term Survival Without Major Disability for Infants Born Preterm
title_sort predicting long-term survival without major disability for infants born preterm
topic Science & Technology
Life Sciences & Biomedicine
Pediatrics
ACTIVE PERINATAL-CARE
NEURODEVELOPMENTAL OUTCOMES
EXTREME PREMATURITY
GESTATIONAL-AGE
MORTALITY
DISPARITIES
MANAGEMENT
MORBIDITY
CHILDREN
BIRTH
Adult
Developmental Disabilities
Female
Follow-Up Studies
Forecasting
Gestational Age
Humans
Incidence
Infant
Infant Mortality
Infant, Newborn
Infant, Premature
Male
Retrospective Studies
Western Australia
Young Adult
Humans
Incidence
Infant Mortality
Retrospective Studies
Follow-Up Studies
Developmental Disabilities
Gestational Age
Forecasting
Adult
Infant
Infant, Newborn
Infant, Premature
Western Australia
Female
Male
Young Adult
url http://purl.org/au-research/grants/nhmrc/1117105
http://purl.org/au-research/grants/nhmrc/1117105
http://purl.org/au-research/grants/nhmrc/1117105
http://purl.org/au-research/grants/nhmrc/1117105
http://purl.org/au-research/grants/nhmrc/1117105
http://purl.org/au-research/grants/nhmrc/1117105
http://hdl.handle.net/20.500.11937/93221