Sazawal S, Ryckman KK, Mittal H, Khanam R, Nisar I, Jasper E, Rahman S, Mehmood U, Das S, Bedell B, Chowdhury NH, Barkat A, Dutta A, Deb S, Ahmed S, Khalid F, Raqib R, Ilyas M, Nizar A, Ali SM, Manu A, Yoshida S, Baqui AH, Jehan F, Dhingra U, Bahl R. Using AMANHI-ACT cohorts for external validation of Iowa new-born metabolic profiles based models for postnatal gestational age estimation. Journal of global health. 11(11). 04044 p. PMID: 34326994 [PubMed] PMCID: PMC8285766
Globally, 15 million infants are born preterm and another 23.2 million infants are born small for gestational age (SGA). Determining burden of preterm and SGA births, is essential for effective planning, modification of health policies and targeting interventions for reducing these outcomes for which accurate estimation of gestational age (GA) is crucial. Early pregnancy ultrasound measurements, last menstrual period and post-natal neonatal examinations have proven to be not feasible or inaccurate. Proposed algorithms for GA estimation in western populations, based on routine new-born screening, though promising, lack validation in developing country settings. We evaluated the hypothesis that models developed in USA, also predicted GA in cohorts of South Asia (575) and Sub-Saharan Africa (736) with same precision.