ArticleeLife2019
External validation of postnatal gestational age estimation using newborn metabolic profiles in Matlab, Bangladesh.
Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- A cohort study of the occurrence of post-term births and its association with perinatal mortality in a rural area in Bangladesh.Journal of global health · 2024Article
- Post-natal gestational age assessment using targeted metabolites of neonatal heel prick and umbilical cord blood: A GARBH-Ini cohort study from North India.Journal of global health · 2024Article
- Accuracy of prenatal and postnatal biomarkers for estimating gestational age: a systematic review and meta-analysis.EClinicalMedicine · 2024Article
- Trends and risk of recurrent preterm birth in pregnancy cohorts in rural Bangladesh, 1990-2019.BMJ global health · 2023Article
- Article
- Validation of gestational age determination from ultrasound or a metabolic gestational age algorithm using exact date of conception in a cohort of newborns conceived using assisted reproduction technologies.AJOG global reports · 2022Article
- Unlocking the global health potential of dried blood spot cards.Journal of global health · 2022Article
- Targeted newborn metabolomics: prediction of gestational age from cord blood.Journal of perinatology : official journal of the California Perinatal Association · 2022Article
- Real world external validation of metabolic gestational age assessment in Kenya.PLOS global public health · 2022Article
- Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa.BMC pregnancy and childbirth · 2021Article
- Using AMANHI-ACT cohorts for external validation of Iowa new-born metabolic profiles based models for postnatal gestational age estimation.Journal of global health · 2021Article
- Cost-effectiveness of a gestational age metabolic algorithm for preterm and small-for-gestational-age classification.American journal of obstetrics & gynecology MFM · 2021Article
- Body mass index in early-pregnancy and selected maternal health outcomes: Findings from two cohorts in Bangladesh.Journal of global health · 2020Article
- External validation of machine learning models including newborn metabolomic markers for postnatal gestational age estimation in East and South-East Asian infants.Gates open research · 2020Article
- Metabolic gestational age assessment in low resource settings: a validation protocol.Gates open research · 2020Article
- Postnatal gestational age estimation via newborn screening analysis: application and potential.Expert review of proteomics · 2019Article
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Authors and funding
16 authors.
Funding
Abstract
This study sought to evaluate the performance of metabolic gestational age estimation models developed in Ontario, Canada in infants born in Bangladesh. Cord and heel prick blood spots were collected in Bangladesh and analyzed at a newborn screening facility in Ottawa, Canada. Algorithm-derived estimates of gestational age and preterm birth were compared to ultrasound-validated estimates. 1036 cord blood and 487 heel prick samples were collected from 1069 unique newborns. The majority of samples (93.2% of heel prick and 89.9% of cord blood) were collected from term infants. When applied to heel prick data, algorithms correctly estimated gestational age to within an average deviation of 1 week overall (root mean square error = 1.07 weeks). Metabolic gestational age estimation provides accurate population-level estimates of gestational age in this data set. Models were effective on data obtained from both heel prick and cord blood, the latter being a more feasible option in low-resource settings.
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Registered trials
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