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Clinical Prediction in Early Pregnancy of Infants Small for Gestational Age by Customised Birthweight Centiles: Findings from a Healthy Nulliparous Cohort

OBJECTIVE: Small for gestational age (SGA) infants comprise up to 50% of all stillbirths and a minority are detected before birth. We aimed to develop and validate early pregnancy predictive models for SGA infants. METHODS: 5628 participants from SCOPE, a prospective study of nulliparous pregnant wo...

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Autores principales: McCowan, Lesley M. E., Thompson, John M. D., Taylor, Rennae S., North, Robyn A., Poston, Lucilla, Baker, Philip N., Myers, Jenny, Roberts, Claire T., Dekker, Gustaaf A., Simpson, Nigel A. B., Walker, James J., Kenny, Louise C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3733741/
https://www.ncbi.nlm.nih.gov/pubmed/23940665
http://dx.doi.org/10.1371/journal.pone.0070917
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author McCowan, Lesley M. E.
Thompson, John M. D.
Taylor, Rennae S.
North, Robyn A.
Poston, Lucilla
Baker, Philip N.
Myers, Jenny
Roberts, Claire T.
Dekker, Gustaaf A.
Simpson, Nigel A. B.
Walker, James J.
Kenny, Louise C.
author_facet McCowan, Lesley M. E.
Thompson, John M. D.
Taylor, Rennae S.
North, Robyn A.
Poston, Lucilla
Baker, Philip N.
Myers, Jenny
Roberts, Claire T.
Dekker, Gustaaf A.
Simpson, Nigel A. B.
Walker, James J.
Kenny, Louise C.
author_sort McCowan, Lesley M. E.
collection PubMed
description OBJECTIVE: Small for gestational age (SGA) infants comprise up to 50% of all stillbirths and a minority are detected before birth. We aimed to develop and validate early pregnancy predictive models for SGA infants. METHODS: 5628 participants from SCOPE, a prospective study of nulliparous pregnant women, were interviewed at 15±1 weeks’ gestation. Fetal anthropometry, uterine and umbilical Doppler studies were performed at 20±1 weeks’. The cohort was divided into training (n = 3735) and validation datasets (n = 1871). All-SGA (birthweight <10th customised centile), Normotensive-SGA (SGA with normotensive mother) and Hypertensive-SGA (SGA with mother who developed hypertension) were the primary outcomes. Multivariable analysis was performed using stepwise logistic regression firstly using clinical variables and then with clinical and ultrasound variables. Receiver operator curves were constructed and areas under the curve (AUC) calculated. RESULTS: 633 infants (11.3%) in the whole cohort were SGA; 465 (8.3%) Normotensive-SGA and 165 (3.0%) Hypertensive-SGA. In the training dataset risk factors for All-SGA at 15±1 weeks’ included: family history of coronary heart disease, maternal birthweight <3000 g and 3000 g to 3499 g compared with ≥3500 g, >12 months to conceive, university student, cigarette smoking, proteinuria, daily vigorous exercise and diastolic blood pressure ≥80. Recreational walking ≥4 times weekly, rhesus negative blood group and increasing random glucose were protective. AUC for clinical risk factors was 0.63. Fetal abdominal or head circumference z scores <10(th) centile and increasing uterine artery Doppler resistance at 20±1 weeks’ were associated with increased risk. Addition of these parameters increased the AUC to 0.69. Clinical predictors of Normotensive and Hypertensive-SGA were sub-groups of All-SGA predictors and were quite different. The combined clinical and ultrasound AUC for Normotensive and Hypertensive-SGA were 0.69 and 0.82 respectively. CONCLUSION: Predictors for SGA of relevance to clinical practice were identified. The identity and predictive potential differed in normotensive women and those who developed hypertension.
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spelling pubmed-37337412013-08-12 Clinical Prediction in Early Pregnancy of Infants Small for Gestational Age by Customised Birthweight Centiles: Findings from a Healthy Nulliparous Cohort McCowan, Lesley M. E. Thompson, John M. D. Taylor, Rennae S. North, Robyn A. Poston, Lucilla Baker, Philip N. Myers, Jenny Roberts, Claire T. Dekker, Gustaaf A. Simpson, Nigel A. B. Walker, James J. Kenny, Louise C. PLoS One Research Article OBJECTIVE: Small for gestational age (SGA) infants comprise up to 50% of all stillbirths and a minority are detected before birth. We aimed to develop and validate early pregnancy predictive models for SGA infants. METHODS: 5628 participants from SCOPE, a prospective study of nulliparous pregnant women, were interviewed at 15±1 weeks’ gestation. Fetal anthropometry, uterine and umbilical Doppler studies were performed at 20±1 weeks’. The cohort was divided into training (n = 3735) and validation datasets (n = 1871). All-SGA (birthweight <10th customised centile), Normotensive-SGA (SGA with normotensive mother) and Hypertensive-SGA (SGA with mother who developed hypertension) were the primary outcomes. Multivariable analysis was performed using stepwise logistic regression firstly using clinical variables and then with clinical and ultrasound variables. Receiver operator curves were constructed and areas under the curve (AUC) calculated. RESULTS: 633 infants (11.3%) in the whole cohort were SGA; 465 (8.3%) Normotensive-SGA and 165 (3.0%) Hypertensive-SGA. In the training dataset risk factors for All-SGA at 15±1 weeks’ included: family history of coronary heart disease, maternal birthweight <3000 g and 3000 g to 3499 g compared with ≥3500 g, >12 months to conceive, university student, cigarette smoking, proteinuria, daily vigorous exercise and diastolic blood pressure ≥80. Recreational walking ≥4 times weekly, rhesus negative blood group and increasing random glucose were protective. AUC for clinical risk factors was 0.63. Fetal abdominal or head circumference z scores <10(th) centile and increasing uterine artery Doppler resistance at 20±1 weeks’ were associated with increased risk. Addition of these parameters increased the AUC to 0.69. Clinical predictors of Normotensive and Hypertensive-SGA were sub-groups of All-SGA predictors and were quite different. The combined clinical and ultrasound AUC for Normotensive and Hypertensive-SGA were 0.69 and 0.82 respectively. CONCLUSION: Predictors for SGA of relevance to clinical practice were identified. The identity and predictive potential differed in normotensive women and those who developed hypertension. Public Library of Science 2013-08-05 /pmc/articles/PMC3733741/ /pubmed/23940665 http://dx.doi.org/10.1371/journal.pone.0070917 Text en © 2013 McCowan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
McCowan, Lesley M. E.
Thompson, John M. D.
Taylor, Rennae S.
North, Robyn A.
Poston, Lucilla
Baker, Philip N.
Myers, Jenny
Roberts, Claire T.
Dekker, Gustaaf A.
Simpson, Nigel A. B.
Walker, James J.
Kenny, Louise C.
Clinical Prediction in Early Pregnancy of Infants Small for Gestational Age by Customised Birthweight Centiles: Findings from a Healthy Nulliparous Cohort
title Clinical Prediction in Early Pregnancy of Infants Small for Gestational Age by Customised Birthweight Centiles: Findings from a Healthy Nulliparous Cohort
title_full Clinical Prediction in Early Pregnancy of Infants Small for Gestational Age by Customised Birthweight Centiles: Findings from a Healthy Nulliparous Cohort
title_fullStr Clinical Prediction in Early Pregnancy of Infants Small for Gestational Age by Customised Birthweight Centiles: Findings from a Healthy Nulliparous Cohort
title_full_unstemmed Clinical Prediction in Early Pregnancy of Infants Small for Gestational Age by Customised Birthweight Centiles: Findings from a Healthy Nulliparous Cohort
title_short Clinical Prediction in Early Pregnancy of Infants Small for Gestational Age by Customised Birthweight Centiles: Findings from a Healthy Nulliparous Cohort
title_sort clinical prediction in early pregnancy of infants small for gestational age by customised birthweight centiles: findings from a healthy nulliparous cohort
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3733741/
https://www.ncbi.nlm.nih.gov/pubmed/23940665
http://dx.doi.org/10.1371/journal.pone.0070917
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