A customised fetal growth and birthweight standard for Qatar: a population-based cohort study

<h3>Objectives</h3><p dir="ltr">Customized birthweight centiles have improved the detection of small for gestational age (SGA) and large for gestational age (LGA) babies compared to existing population standards. This study used perinatal registry data to derive coefficie...

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Main Author: Thomas Farrell (3933833) (author)
Other Authors: Fathima Minisha (16475100) (author), Najat Khenyab (14585514) (author), Najah Mohammed Ali (22155016) (author), Sawsan Al Obaidly (17760147) (author), Salwa Abu Yaqoub (22155019) (author), Abdul Rouf Pallivalappil (17760150) (author), Nader Al-Dewik (4166527) (author), Hilal AlRifai (17075071) (author), Oliver Hugh (22155022) (author), Jason Gardosi (3424466) (author)
Published: 2024
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author Thomas Farrell (3933833)
author2 Fathima Minisha (16475100)
Najat Khenyab (14585514)
Najah Mohammed Ali (22155016)
Sawsan Al Obaidly (17760147)
Salwa Abu Yaqoub (22155019)
Abdul Rouf Pallivalappil (17760150)
Nader Al-Dewik (4166527)
Hilal AlRifai (17075071)
Oliver Hugh (22155022)
Jason Gardosi (3424466)
author2_role author
author
author
author
author
author
author
author
author
author
author_facet Thomas Farrell (3933833)
Fathima Minisha (16475100)
Najat Khenyab (14585514)
Najah Mohammed Ali (22155016)
Sawsan Al Obaidly (17760147)
Salwa Abu Yaqoub (22155019)
Abdul Rouf Pallivalappil (17760150)
Nader Al-Dewik (4166527)
Hilal AlRifai (17075071)
Oliver Hugh (22155022)
Jason Gardosi (3424466)
author_role author
dc.creator.none.fl_str_mv Thomas Farrell (3933833)
Fathima Minisha (16475100)
Najat Khenyab (14585514)
Najah Mohammed Ali (22155016)
Sawsan Al Obaidly (17760147)
Salwa Abu Yaqoub (22155019)
Abdul Rouf Pallivalappil (17760150)
Nader Al-Dewik (4166527)
Hilal AlRifai (17075071)
Oliver Hugh (22155022)
Jason Gardosi (3424466)
dc.date.none.fl_str_mv 2024-08-20T09:00:00Z
dc.identifier.none.fl_str_mv 10.1515/jpm-2024-0060
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/A_customised_fetal_growth_and_birthweight_standard_for_Qatar_a_population-based_cohort_study/30023101
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biomedical and clinical sciences
Reproductive medicine
Health sciences
Public health
birthweight
customized growth charts
GROW
stillbirth
fetal growth restriction
dc.title.none.fl_str_mv A customised fetal growth and birthweight standard for Qatar: a population-based cohort study
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <h3>Objectives</h3><p dir="ltr">Customized birthweight centiles have improved the detection of small for gestational age (SGA) and large for gestational age (LGA) babies compared to existing population standards. This study used perinatal registry data to derive coefficients for developing customized growth charts for Qatar.</p><h3>Methods</h3><p dir="ltr">The PEARL registry data on women delivering in Qatar (2017–2018) was used to develop a multivariable linear regression model predicting optimal birthweight. Physiological variables included gestational age, maternal height, weight, ethnicity, parity, and sex of the baby. Pathological variables such as hypertension, preexisting and gestational diabetes and smoking were calculated and excluded to derive the optimal weight at term.</p><h3>Results</h3><p dir="ltr">The regression model found a term optimal birthweight of 3,235 g for a Qatari nationality mother with median height (159 cm), booking weight (72 kg), parity (1) and gestation at birth (276 days) at the end of an uncomplicated pregnancy. Constitutional coefficients significantly affecting birthweight were gestational age, height, weight, and parity. The main pathological factors were preexisting diabetes (increase by +175.7 g) and smoking (decrease by −190.9 g). The SGA and LGA rates in the entire cohort after applying the population-specific customized centiles were 11.1 and 12.2 %, respectively (contrasting with the Hadlock standard: SGA-26.3 % and LGA-1.8 %, and Fenton standard: SGA-12.9 % and LGA-4.0 %).</p><h3>Conclusions</h3><p dir="ltr">Constitutional and pathological variations in fetal growth and birthweight apply in the maternity population in Qatar and have been quantified to allow the generation of customised charts for better identification of pregnancies with abnormal growth. Currently in-use population standards may misdiagnose many SGA and LGA babies.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Perinatal Medicine<br>License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1515/jpm-2024-0060" target="_blank">https://dx.doi.org/10.1515/jpm-2024-0060</a></p>
eu_rights_str_mv openAccess
id Manara2_9f424ef5048229f693553ea72a12c6b8
identifier_str_mv 10.1515/jpm-2024-0060
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/30023101
publishDate 2024
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repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling A customised fetal growth and birthweight standard for Qatar: a population-based cohort studyThomas Farrell (3933833)Fathima Minisha (16475100)Najat Khenyab (14585514)Najah Mohammed Ali (22155016)Sawsan Al Obaidly (17760147)Salwa Abu Yaqoub (22155019)Abdul Rouf Pallivalappil (17760150)Nader Al-Dewik (4166527)Hilal AlRifai (17075071)Oliver Hugh (22155022)Jason Gardosi (3424466)Biomedical and clinical sciencesReproductive medicineHealth sciencesPublic healthbirthweightcustomized growth chartsGROWstillbirthfetal growth restriction<h3>Objectives</h3><p dir="ltr">Customized birthweight centiles have improved the detection of small for gestational age (SGA) and large for gestational age (LGA) babies compared to existing population standards. This study used perinatal registry data to derive coefficients for developing customized growth charts for Qatar.</p><h3>Methods</h3><p dir="ltr">The PEARL registry data on women delivering in Qatar (2017–2018) was used to develop a multivariable linear regression model predicting optimal birthweight. Physiological variables included gestational age, maternal height, weight, ethnicity, parity, and sex of the baby. Pathological variables such as hypertension, preexisting and gestational diabetes and smoking were calculated and excluded to derive the optimal weight at term.</p><h3>Results</h3><p dir="ltr">The regression model found a term optimal birthweight of 3,235 g for a Qatari nationality mother with median height (159 cm), booking weight (72 kg), parity (1) and gestation at birth (276 days) at the end of an uncomplicated pregnancy. Constitutional coefficients significantly affecting birthweight were gestational age, height, weight, and parity. The main pathological factors were preexisting diabetes (increase by +175.7 g) and smoking (decrease by −190.9 g). The SGA and LGA rates in the entire cohort after applying the population-specific customized centiles were 11.1 and 12.2 %, respectively (contrasting with the Hadlock standard: SGA-26.3 % and LGA-1.8 %, and Fenton standard: SGA-12.9 % and LGA-4.0 %).</p><h3>Conclusions</h3><p dir="ltr">Constitutional and pathological variations in fetal growth and birthweight apply in the maternity population in Qatar and have been quantified to allow the generation of customised charts for better identification of pregnancies with abnormal growth. Currently in-use population standards may misdiagnose many SGA and LGA babies.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Perinatal Medicine<br>License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1515/jpm-2024-0060" target="_blank">https://dx.doi.org/10.1515/jpm-2024-0060</a></p>2024-08-20T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1515/jpm-2024-0060https://figshare.com/articles/journal_contribution/A_customised_fetal_growth_and_birthweight_standard_for_Qatar_a_population-based_cohort_study/30023101CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/300231012024-08-20T09:00:00Z
spellingShingle A customised fetal growth and birthweight standard for Qatar: a population-based cohort study
Thomas Farrell (3933833)
Biomedical and clinical sciences
Reproductive medicine
Health sciences
Public health
birthweight
customized growth charts
GROW
stillbirth
fetal growth restriction
status_str publishedVersion
title A customised fetal growth and birthweight standard for Qatar: a population-based cohort study
title_full A customised fetal growth and birthweight standard for Qatar: a population-based cohort study
title_fullStr A customised fetal growth and birthweight standard for Qatar: a population-based cohort study
title_full_unstemmed A customised fetal growth and birthweight standard for Qatar: a population-based cohort study
title_short A customised fetal growth and birthweight standard for Qatar: a population-based cohort study
title_sort A customised fetal growth and birthweight standard for Qatar: a population-based cohort study
topic Biomedical and clinical sciences
Reproductive medicine
Health sciences
Public health
birthweight
customized growth charts
GROW
stillbirth
fetal growth restriction