Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa.

Journal: BMC pregnancy and childbirth
PMID: 34493237

Abstract

BACKGROUND: Babies born early and/or small for gestational age in Low and Middle-income countries (LMICs) contribute substantially to global neonatal and infant mortality. Tracking this metric is critical at a population level for informed policy, advocacy, resources allocation and program evaluation and at an individual level for targeted care. Early prenatal ultrasound examination is not available in these settings, gestational age (GA) is estimated using new-born assessment, last menstrual period (LMP) recalls and birth weight, which are unreliable. Algorithms in developed settings, using metabolic screen data, provided GA estimates within 1-2 weeks of ultrasonography-based GA. We sought to leverage machine learning algorithms to improve accuracy and applicability of this approach to LMICs settings.

Authors

  • Sunil Sazawal
    Center for Public Health Kinetics, Global Division, 214 A, LGL Vinoba Puri, Lajpat Nagar II, New Delhi, India. ssazawal@jhu.edu.
  • Kelli K Ryckman
    College of Public Health, Department of Epidemiology, University of Iowa, 145 N. Riverside Dr. , S435, Iowa City, IA, 52242, USA.
  • Sayan Das
    Center for Public Health Kinetics, Global Division, 214 A, LGL Vinoba Puri, Lajpat Nagar II, New Delhi, India.
  • Rasheda Khanam
    School of Business, University of Southern Queensland, Toowoomba, Australia.
  • Imran Nisar
    Department of Paediatrics and Child Health, Aga Khan University, Karachi, Sindh, Pakistan.
  • Elizabeth Jasper
    College of Public Health, Department of Epidemiology, University of Iowa, 145 N. Riverside Dr. , S435, Iowa City, IA, 52242, USA.
  • Arup Dutta
    Center for Public Health Kinetics, Global Division, 214 A, LGL Vinoba Puri, Lajpat Nagar II, New Delhi, India.
  • Sayedur Rahman
    Projahnmo Research Foundation, Abanti, Flat # 5B, House # 37, Road # 27, Banani, Dhaka, 1213, Bangladesh.
  • Usma Mehmood
    Department of Paediatrics and Child Health, Aga Khan University, Karachi, Sindh, Pakistan.
  • Bruce Bedell
    College of Public Health, Department of Epidemiology, University of Iowa, 145 N. Riverside Dr. , S435, Iowa City, IA, 52242, USA.
  • Saikat Deb
    Public Health Laboratory-IDC, Chake Chake, Pemba, Tanzania.
  • Nabidul Haque Chowdhury
    Projahnmo Research Foundation, Abanti, Flat # 5B, House # 37, Road # 27, Banani, Dhaka, 1213, Bangladesh.
  • Amina Barkat
    Department of Paediatrics and Child Health, Aga Khan University, Karachi, Sindh, Pakistan.
  • Harshita Mittal
    Center for Public Health Kinetics, Global Division, 214 A, LGL Vinoba Puri, Lajpat Nagar II, New Delhi, India.
  • Salahuddin Ahmed
    Projahnmo Research Foundation, Abanti, Flat # 5B, House # 37, Road # 27, Banani, Dhaka, 1213, Bangladesh.
  • Farah Khalid
    Department of Paediatrics and Child Health, Aga Khan University, Karachi, Sindh, Pakistan.
  • Rubhana Raqib
    International Centre for Diarrhoeal Disease Research, Mohakhali, Dhaka, 1212, Bangladesh.
  • Alexander Manu
    Department of Maternal, Newborn, Child and Adolescent Health and Ageing, Avenue Appia 20, 1211, Geneva, Switzerland.
  • Sachiyo Yoshida
    Department of Maternal, Newborn, Child and Adolescent Health and Ageing, Avenue Appia 20, 1211, Geneva, Switzerland.
  • Muhammad Ilyas
    Department of Community Medical Science, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
  • Ambreen Nizar
    Department of Paediatrics and Child Health, Aga Khan University, Karachi, Sindh, Pakistan.
  • Said Mohammed Ali
    Public Health Laboratory-IDC, Chake Chake, Pemba, Tanzania.
  • Abdullah H Baqui
    Department of International Health, Johns Hopkins Bloomberg School for Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
  • Fyezah Jehan
    Department of Paediatrics and Child Health, Aga Khan University, Karachi, Sindh, Pakistan.
  • Usha Dhingra
    Center for Public Health Kinetics, Global Division, 214 A, LGL Vinoba Puri, Lajpat Nagar II, New Delhi, India.
  • Rajiv Bahl
    Department of Maternal, Newborn, Child and Adolescent Health and Ageing, Avenue Appia 20, 1211, Geneva, Switzerland. bahlr@who.int.

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