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Courbes de croissance fœtale non ajustées et personnalisées: une étude comparative dans une population du Sud du Sahara
The purpose of this study was to compare the unadjusted EPOPé M0 curve with the customized Gardosi curve in the diagnosis of small-for-gestational-age (SGA) fetuses in a sub-Saharan population. We compared the Gardosi et al. and EPOPé M0 classifications. Classification differences were analyzed acco...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The African Field Epidemiology Network
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363973/ https://www.ncbi.nlm.nih.gov/pubmed/34422174 http://dx.doi.org/10.11604/pamj.2021.39.51.27307 |
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author | Diakhaté, Abdoulaye Ndiaye, Mame Diarra Guèye, Mamour Mbaye, Magatte Faye, Pape Moctar Diallo, Moussa Ndour, Simon Birame Wade, Mouhamadou Diouf, Aliou Moreau, Jean Charles |
author_facet | Diakhaté, Abdoulaye Ndiaye, Mame Diarra Guèye, Mamour Mbaye, Magatte Faye, Pape Moctar Diallo, Moussa Ndour, Simon Birame Wade, Mouhamadou Diouf, Aliou Moreau, Jean Charles |
author_sort | Diakhaté, Abdoulaye |
collection | PubMed |
description | The purpose of this study was to compare the unadjusted EPOPé M0 curve with the customized Gardosi curve in the diagnosis of small-for-gestational-age (SGA) fetuses in a sub-Saharan population. We compared the Gardosi et al. and EPOPé M0 classifications. Classification differences were analyzed according to patient characteristics and obstetric conditions. Data collected from FileMaker software were analyzed using SPSS 20.0 and R Studio software. The statistical tests were carried out according to applicability conditions. Alpha risk was set at 0.05. The Gardosi curve showed that the rate of SGA newborns was higher (31.4% versus 28.9%) and did not differ between overweight and normal-weight women. The rate of severe SGA in preterm infants was also higher (23.6 versus 19.7%). Diseases were more frequent in newborns classified as severe SGA by the customized growth curve. The customized curve is recommended for the sub-Saharan Africa population. |
format | Online Article Text |
id | pubmed-8363973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The African Field Epidemiology Network |
record_format | MEDLINE/PubMed |
spelling | pubmed-83639732021-08-20 Courbes de croissance fœtale non ajustées et personnalisées: une étude comparative dans une population du Sud du Sahara Diakhaté, Abdoulaye Ndiaye, Mame Diarra Guèye, Mamour Mbaye, Magatte Faye, Pape Moctar Diallo, Moussa Ndour, Simon Birame Wade, Mouhamadou Diouf, Aliou Moreau, Jean Charles Pan Afr Med J Case Series The purpose of this study was to compare the unadjusted EPOPé M0 curve with the customized Gardosi curve in the diagnosis of small-for-gestational-age (SGA) fetuses in a sub-Saharan population. We compared the Gardosi et al. and EPOPé M0 classifications. Classification differences were analyzed according to patient characteristics and obstetric conditions. Data collected from FileMaker software were analyzed using SPSS 20.0 and R Studio software. The statistical tests were carried out according to applicability conditions. Alpha risk was set at 0.05. The Gardosi curve showed that the rate of SGA newborns was higher (31.4% versus 28.9%) and did not differ between overweight and normal-weight women. The rate of severe SGA in preterm infants was also higher (23.6 versus 19.7%). Diseases were more frequent in newborns classified as severe SGA by the customized growth curve. The customized curve is recommended for the sub-Saharan Africa population. The African Field Epidemiology Network 2021-05-19 /pmc/articles/PMC8363973/ /pubmed/34422174 http://dx.doi.org/10.11604/pamj.2021.39.51.27307 Text en Copyright: Abdoulaye Diakhaté et al. https://creativecommons.org/licenses/by/4.0/The Pan African Medical Journal (ISSN: 1937-8688). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Case Series Diakhaté, Abdoulaye Ndiaye, Mame Diarra Guèye, Mamour Mbaye, Magatte Faye, Pape Moctar Diallo, Moussa Ndour, Simon Birame Wade, Mouhamadou Diouf, Aliou Moreau, Jean Charles Courbes de croissance fœtale non ajustées et personnalisées: une étude comparative dans une population du Sud du Sahara |
title | Courbes de croissance fœtale non ajustées et personnalisées: une étude comparative dans une population du Sud du Sahara |
title_full | Courbes de croissance fœtale non ajustées et personnalisées: une étude comparative dans une population du Sud du Sahara |
title_fullStr | Courbes de croissance fœtale non ajustées et personnalisées: une étude comparative dans une population du Sud du Sahara |
title_full_unstemmed | Courbes de croissance fœtale non ajustées et personnalisées: une étude comparative dans une population du Sud du Sahara |
title_short | Courbes de croissance fœtale non ajustées et personnalisées: une étude comparative dans une population du Sud du Sahara |
title_sort | courbes de croissance fœtale non ajustées et personnalisées: une étude comparative dans une population du sud du sahara |
topic | Case Series |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363973/ https://www.ncbi.nlm.nih.gov/pubmed/34422174 http://dx.doi.org/10.11604/pamj.2021.39.51.27307 |
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