Limiting adverse birth outcomes in resource-limited settings (LABOR): protocol of a prospective intrapartum cohort study

Gates Open Research

article

Amanda Adu-Amankwah¹  Mrutunjaya B. Bellad²  Aimee M. Benson³  Titus K. Beyuo¹  Manisha Bhandankar²  Umesh Charanthimath²  Maureen Chisembele⁴  Stephen R. Cole⁵  Sangappa M. Dhaded²  Christabel Enweronu-Laryea⁶  Bethany L. Freeman³  Nikki L. B. Freeman⁷  Shivaprasad S. Goudar²  Xiaotong Jiang⁷  Margaret P. Kasaro³  Michael R. Kosorok⁷  Daniel Luckett⁷  Felistas M. Mbewe⁸  Sujata Misra⁹  Kunda Mutesu⁴  Mercy A. Nuamah¹  Samuel A. Oppong¹  Jackie K. Patterson^1,10  Marc Peterson³  Teeranan Pokaprakarn⁷  Joan T. Price³  Yeshita V. Pujar²  Dwight J. Rouse^1,11  Yuri V. Sebastião³  M. Bridget Spelke³  John Sperger⁷  Jeffrey S. A. Stringer³  Methodius G. Tuuli^1,11  Michael Valancius⁷  Bellington Vwalika³ 

[1] Department of Obstetrics and Gynaecology, University of Ghana Medical School, Korle-Bu Teaching Hospital;Women’s and Children’s Health Research Unit, KLE Academy of Higher Education and Research, Jawaharlal Nehru Medical College;Department of Obstetrics and Gynecology, University of North Carolina School of Medicine;Women and Newborn Hospital, University Teaching Hospital of Lusaka;Department of Epidemiology, University of North Carolina School of Medicine;Department of Child Health, University of Ghana Medical School, Korle-Bu Teaching Hospital;Department of Biostatistics, University of North Carolina;UNC Global Projects Zambia;Fakir Mohan Medical College and Hospital;Department of Pediatrics, University of North Carolina School of Medicine;Department of Obstetrics and Gynecology, Warren Alpert Medical School of Brown University;Department of Obstetrics and Gynaecology, University of Zambia School of Medicine

关键词: Labor;    delivery;    intrapartum;    postpartum;    adverse birth outcomes;    machine learning;   

DOI  :  10.12688/gatesopenres.13716.2

学科分类：电子与电气工程

来源: American Journal Of Pharmtech Research

【 摘 要 】

Background: Each year, nearly 300,000 women and 5 million fetuses or neonates die during childbirth or shortly thereafter, a burden concentrated disproportionately in low- and middle-income countries. Identifying women and their fetuses at risk for intrapartum-related morbidity and death could facilitate early intervention. Methods: The Limiting Adverse Birth Outcomes in Resource-Limited Settings (LABOR) Study is a multi-country, prospective, observational cohort designed to exhaustively document the course and outcomes of labor, delivery, and the immediate postpartum period in settings where adverse outcomes are frequent. The study is conducted at four hospitals across three countries in Ghana, India, and Zambia. We will enroll approximately 12,000 women at presentation to the hospital for delivery and follow them and their fetuses/newborns throughout their labor and delivery course, postpartum hospitalization, and up to 42 days thereafter. The co-primary outcomes are composites of maternal (death, hemorrhage, hypertensive disorders, infection) and fetal/neonatal adverse events (death, encephalopathy, sepsis) that may be attributed to the intrapartum period. The study collects extensive physiologic data through the use of physiologic sensors and employs medical scribes to document examination findings, diagnoses, medications, and other interventions in real time. Discussion: The goal of this research is to produce a large, sharable dataset that can be used to build statistical algorithms to prospectively stratify parturients according to their risk of adverse outcomes. We anticipate this research will inform the development of new tools to reduce peripartum morbidity and mortality in low-resource settings.

【 授权许可】

CC BY