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Full-Text Articles in Medicine and Health Sciences
Using Amanhi-Act Cohorts For External Validation Of Iowa New-Born Metabolic Profiles Based Models For Postnatal Gestational Age Estimation, Sunil Sazawal, Kelli K. Ryckman, Harshita Mittal, Muhammad Imran Nisar, Usma Mehmood, Amina Barkat, Farah Khalid, Muhammad Ilyas, Ambreen Nizar, Fyezah Jehan
Using Amanhi-Act Cohorts For External Validation Of Iowa New-Born Metabolic Profiles Based Models For Postnatal Gestational Age Estimation, Sunil Sazawal, Kelli K. Ryckman, Harshita Mittal, Muhammad Imran Nisar, Usma Mehmood, Amina Barkat, Farah Khalid, Muhammad Ilyas, Ambreen Nizar, Fyezah Jehan
Department of Paediatrics and Child Health
Background: 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 …