Prediction of low birth weight from fetal ultrasound and clinical characteristics: a comparative study between a low- and middle-income and a high-income country

Our findings provide new insights into the predictive role of different clinical and ultrasound descriptors in two populations at high risk for APO, highlighting that different approaches are required for different populations. However, Doppler data improves prediction capabilities in both settings, underscoring the value of standardising ultrasound data acquisition, as practiced in HIC, to enhance LBW prediction in LMIC. This alignment contributes to bridging the health equity gap.

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Publication Details

Journal
BMJ Global Health
Published
2024-12-01
DOI
https://doi.org/10.1136/bmjgh-2024-016088
Citations
5
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
2.91

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article

Prediction of low birth weight from fetal ultrasound and clinical characteristics: a comparative study between a low- and middle-income and a high-income country

Corey Snyder, Lea Testa, Babar Hasan, Gabriel Bernardino et al.
5 citations
BMJ Global Health
Pregnancy and preeclampsia studies
2.91
article

Prediction of low birth weight from fetal ultrasound and clinical characteristics: a comparative study between a low- and middle-income and a high-income country

Corey Snyder, Lea Testa, Babar Hasan, Gabriel Bernardino, Sergio Sanchez‐Martinez, F. Crispi, Devyani Chowdhury, Pablo-Miki Martí Castellote, Kathy J. Jenkins, Zahra Hoodbhoy, Ainhoa M. Aguado, F. Crovetto, Shazia Mohsin, Ambreen Nizar, Eduard Gratacós, Bart Bijnens, Gemma Piella, Fyezah Jehan, Rimsha Ahmed, Josa Prats-Valero
article en
5 citations

Abstract

Our findings provide new insights into the predictive role of different clinical and ultrasound descriptors in two populations at high risk for APO, highlighting that different approaches are required for different populations. However, Doppler data improves prediction capabilities in both settings, underscoring the value of standardising ultrasound data acquisition, as practiced in HIC, to enhance LBW prediction in LMIC. This alignment contributes to bridging the health equity gap.

BMJ Global HealthVol. 9(12)
Aga Khan University (PK), Institució Catalana de Recerca i Estudis Avançats (ES), Clinic for Special Children (US), Hospital Sant Joan de Déu Barcelona (ES), Universitat Pompeu Fabra (ES), Sindh Institute of Urology and Transplantation (PK), Centre for Biomedical Network Research on Rare Diseases (ES), Sant Joan de Déu Research Foundation (ES), Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES), Institut de Recerca Sant Joan de Déu, Universitat de Barcelona (ES)
Bill and Melinda Gates Foundation
No poverty
Openalex Percentile: Top 9%
Pregnancy and preeclampsia studies
2.91
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