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Full-Text Articles in Female Urogenital Diseases and Pregnancy Complications

Machine Learning Guided Postnatal Gestational Age Assessment Using New-Born Screening Metabolomic Data In South Asia And Sub-Saharan Africa, Sunil Sazawal, Kelli K. Ryckman, Sayan Das, Muhammad Imran Nisar, Usma Mehmood, Amina Barkat, Farah Khalid, Muhammad Ilyas Muhammad Ilyas, Ambreen Nizar, Fyezah Jehan Sep 2021

Machine Learning Guided Postnatal Gestational Age Assessment Using New-Born Screening Metabolomic Data In South Asia And Sub-Saharan Africa, Sunil Sazawal, Kelli K. Ryckman, Sayan Das, Muhammad Imran Nisar, Usma Mehmood, Amina Barkat, Farah Khalid, Muhammad Ilyas Muhammad Ilyas, Ambreen Nizar, Fyezah Jehan

Department of Paediatrics and Child Health

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 …


Cohort Profile: The Alliance For Maternal And Newborn Health Improvement (Amanhi) Biobanking Study, Fahad Aftab, Salahuddin Ahmed, Aneeta Hotwani, Muhammad Ilyas, Mohammad Javaid, Fyezah Jehan, Farah Khalid, Usma Mehmood, Muhammad Imran Nisar, Muhammad Sajid Aug 2021

Cohort Profile: The Alliance For Maternal And Newborn Health Improvement (Amanhi) Biobanking Study, Fahad Aftab, Salahuddin Ahmed, Aneeta Hotwani, Muhammad Ilyas, Mohammad Javaid, Fyezah Jehan, Farah Khalid, Usma Mehmood, Muhammad Imran Nisar, Muhammad Sajid

Department of Paediatrics and Child Health

No abstract provided.


Maternal And Neonatal Morbidity And Mortality Among Pregnant Women With And Without Covid-19 Infection: The Intercovid Multinational Cohort Study, José Villar, Shabina Ariff, Robert B. Gunier, Ramachandran Thiruvengadam, Stephen Rauch, Alexey Kholin, Paola Roggero, Federico Prefumo, Marynéa Silva Do Vale, Zulfiqar Ahmed Bhutta Apr 2021

Maternal And Neonatal Morbidity And Mortality Among Pregnant Women With And Without Covid-19 Infection: The Intercovid Multinational Cohort Study, José Villar, Shabina Ariff, Robert B. Gunier, Ramachandran Thiruvengadam, Stephen Rauch, Alexey Kholin, Paola Roggero, Federico Prefumo, Marynéa Silva Do Vale, Zulfiqar Ahmed Bhutta

Department of Paediatrics and Child Health

Importance: Detailed information about the association of COVID-19 with outcomes in pregnant individuals compared with not-infected pregnant individuals is much needed.
Objective: To evaluate the risks associated with COVID-19 in pregnancy on maternal and neonatal outcomes compared with not-infected, concomitant pregnant individuals.
Design, setting, and participants: In this cohort study that took place from March to October 2020, involving 43 institutions in 18 countries, 2 unmatched, consecutive, not-infected women were concomitantly enrolled immediately after each infected woman was identified, at any stage of pregnancy or delivery, and at the same level of care to minimize bias. Women and neonates were …