Cargando…

Estimation of Gestational Age, Using Neonatal Anthropometry: A Cross-sectional Study in India

Prematurity is a significant contributor to neonatal mortality in India. Conventionally, assessment of gestational age of newborns is based on New Ballard Technique, for which a paediatric specialist is needed. Anthropometry of the newborn, especially birthweight, has been used in the past to predic...

Descripción completa

Detalles Bibliográficos
Autores principales: Thawani, Rajat, Dewan, Pooja, Faridi, M.M.A., Arora, Shilpa Khanna, Kumar, Rajeev
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Centre for Diarrhoeal Disease Research, Bangladesh 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3905647/
https://www.ncbi.nlm.nih.gov/pubmed/24592594
_version_ 1782301365187379200
author Thawani, Rajat
Dewan, Pooja
Faridi, M.M.A.
Arora, Shilpa Khanna
Kumar, Rajeev
author_facet Thawani, Rajat
Dewan, Pooja
Faridi, M.M.A.
Arora, Shilpa Khanna
Kumar, Rajeev
author_sort Thawani, Rajat
collection PubMed
description Prematurity is a significant contributor to neonatal mortality in India. Conventionally, assessment of gestational age of newborns is based on New Ballard Technique, for which a paediatric specialist is needed. Anthropometry of the newborn, especially birthweight, has been used in the past to predict the gestational age of the neonate in peripheral health facilities where a trained paediatrician is often not available. We aimed to determine if neonatal anthropometric parameters, viz. birthweight, crown heel-length, head-circumference, mid-upper arm-circumference, lower segment-length, foot-length, umbilical nipple distance, calf-circumference, intermammary distance, and hand-length, can reliably predict the gestational age. The study also aimed to derive an equation for the same. We also assessed if these neonatal anthropometric parameters had a better prediction of gestational age when used in combination compared to individual parameters. We evaluated 1,000 newborns in a cross-sectional study conducted in Guru Teg Bahadur Hospital in Delhi. Detailed anthropometric estimation of the neonates was done within 48 hours after birth, using standard techniques. Gestational age was estimated using New Ballard Scoring. Out of 1,250 consecutive neonates, 1,000 were included in the study. Of them, 800 randomly-selected newborns were used in devising the model, and the remaining 200 newborns were used in validating the final model. Quadratic regression analysis using stepwise selection was used in building the predictive model. Birthweight (R=0.72), head-circumference (R=0.60), and mid-upper arm-circumference (R=0.67) were found highly correlated with gestation. The final equation to assess gestational age was as follows: Gestational age (weeks)=5.437×W–0.781×W(2)+2.815×HC–0.041×HC(2)+0.285×MUAC–22.745 where W=Weight, HC=Head-circumference and MUAC=Mid-upper arm-circumference; Adjusted R=0.76. On validation, the predictability of this equation is 46% (±1 week), 75.5% (+2 weeks), and 91.5% (+3 weeks). This mathematical model may be used in identifying preterm neonates.
format Online
Article
Text
id pubmed-3905647
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher International Centre for Diarrhoeal Disease Research, Bangladesh
record_format MEDLINE/PubMed
spelling pubmed-39056472014-01-29 Estimation of Gestational Age, Using Neonatal Anthropometry: A Cross-sectional Study in India Thawani, Rajat Dewan, Pooja Faridi, M.M.A. Arora, Shilpa Khanna Kumar, Rajeev J Health Popul Nutr Original Papers Prematurity is a significant contributor to neonatal mortality in India. Conventionally, assessment of gestational age of newborns is based on New Ballard Technique, for which a paediatric specialist is needed. Anthropometry of the newborn, especially birthweight, has been used in the past to predict the gestational age of the neonate in peripheral health facilities where a trained paediatrician is often not available. We aimed to determine if neonatal anthropometric parameters, viz. birthweight, crown heel-length, head-circumference, mid-upper arm-circumference, lower segment-length, foot-length, umbilical nipple distance, calf-circumference, intermammary distance, and hand-length, can reliably predict the gestational age. The study also aimed to derive an equation for the same. We also assessed if these neonatal anthropometric parameters had a better prediction of gestational age when used in combination compared to individual parameters. We evaluated 1,000 newborns in a cross-sectional study conducted in Guru Teg Bahadur Hospital in Delhi. Detailed anthropometric estimation of the neonates was done within 48 hours after birth, using standard techniques. Gestational age was estimated using New Ballard Scoring. Out of 1,250 consecutive neonates, 1,000 were included in the study. Of them, 800 randomly-selected newborns were used in devising the model, and the remaining 200 newborns were used in validating the final model. Quadratic regression analysis using stepwise selection was used in building the predictive model. Birthweight (R=0.72), head-circumference (R=0.60), and mid-upper arm-circumference (R=0.67) were found highly correlated with gestation. The final equation to assess gestational age was as follows: Gestational age (weeks)=5.437×W–0.781×W(2)+2.815×HC–0.041×HC(2)+0.285×MUAC–22.745 where W=Weight, HC=Head-circumference and MUAC=Mid-upper arm-circumference; Adjusted R=0.76. On validation, the predictability of this equation is 46% (±1 week), 75.5% (+2 weeks), and 91.5% (+3 weeks). This mathematical model may be used in identifying preterm neonates. International Centre for Diarrhoeal Disease Research, Bangladesh 2013-12 /pmc/articles/PMC3905647/ /pubmed/24592594 Text en © INTERNATIONAL CENTRE FOR DIARRHOEAL DISEASE RESEARCH, BANGLADESH http://creativecommons.org/licenses/by/2.5/ 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 work is properly cited.
spellingShingle Original Papers
Thawani, Rajat
Dewan, Pooja
Faridi, M.M.A.
Arora, Shilpa Khanna
Kumar, Rajeev
Estimation of Gestational Age, Using Neonatal Anthropometry: A Cross-sectional Study in India
title Estimation of Gestational Age, Using Neonatal Anthropometry: A Cross-sectional Study in India
title_full Estimation of Gestational Age, Using Neonatal Anthropometry: A Cross-sectional Study in India
title_fullStr Estimation of Gestational Age, Using Neonatal Anthropometry: A Cross-sectional Study in India
title_full_unstemmed Estimation of Gestational Age, Using Neonatal Anthropometry: A Cross-sectional Study in India
title_short Estimation of Gestational Age, Using Neonatal Anthropometry: A Cross-sectional Study in India
title_sort estimation of gestational age, using neonatal anthropometry: a cross-sectional study in india
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3905647/
https://www.ncbi.nlm.nih.gov/pubmed/24592594
work_keys_str_mv AT thawanirajat estimationofgestationalageusingneonatalanthropometryacrosssectionalstudyinindia
AT dewanpooja estimationofgestationalageusingneonatalanthropometryacrosssectionalstudyinindia
AT faridimma estimationofgestationalageusingneonatalanthropometryacrosssectionalstudyinindia
AT arorashilpakhanna estimationofgestationalageusingneonatalanthropometryacrosssectionalstudyinindia
AT kumarrajeev estimationofgestationalageusingneonatalanthropometryacrosssectionalstudyinindia