| Autor: |
Steven Hawken, Robin Ducharme, Malia S Q Murphy, Brieanne Olibris, A Brianne Bota, Lindsay A Wilson, Wei Cheng, Julian Little, Beth K Potter, Kathryn M Denize, Monica Lamoureux, Matthew Henderson, Katelyn J Rittenhouse, Joan T Price, Humphrey Mwape, Bellington Vwalika, Patrick Musonda, Jesmin Pervin, A K Azad Chowdhury, Anisur Rahman, Pranesh Chakraborty, Jeffrey S A Stringer, Kumanan Wilson |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
PLoS ONE, Vol 18, Iss 3, p e0281074 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1932-6203 |
| DOI: |
10.1371/journal.pone.0281074 |
| Popis: |
BackgroundAccurate estimates of gestational age (GA) at birth are important for preterm birth surveillance but can be challenging to obtain in low income countries. Our objective was to develop machine learning models to accurately estimate GA shortly after birth using clinical and metabolomic data.MethodsWe derived three GA estimation models using ELASTIC NET multivariable linear regression using metabolomic markers from heel-prick blood samples and clinical data from a retrospective cohort of newborns from Ontario, Canada. We conducted internal model validation in an independent cohort of Ontario newborns, and external validation in heel prick and cord blood sample data collected from newborns from prospective birth cohorts in Lusaka, Zambia and Matlab, Bangladesh. Model performance was measured by comparing model-derived estimates of GA to reference estimates from early pregnancy ultrasound.ResultsSamples were collected from 311 newborns from Zambia and 1176 from Bangladesh. The best-performing model accurately estimated GA within about 6 days of ultrasound estimates in both cohorts when applied to heel prick data (MAE 0.79 weeks (95% CI 0.69, 0.90) for Zambia; 0.81 weeks (0.75, 0.86) for Bangladesh), and within about 7 days when applied to cord blood data (1.02 weeks (0.90, 1.15) for Zambia; 0.95 weeks (0.90, 0.99) for Bangladesh).ConclusionsAlgorithms developed in Canada provided accurate estimates of GA when applied to external cohorts from Zambia and Bangladesh. Model performance was superior in heel prick data as compared to cord blood data. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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