An Innovative Clinical Prediction Model for Postpartum Hemorrhage in Low and Middle-Income Countries


Dr. Naleef Fareed, Department of Biomedical Informatics
Rank at time of award: Assistant Professor
Dr. Kartik Venkatesh, Wexner Medical Center
Maternal Fetal Medicine Physician
Dr. Abigail Norris Turner, Department of Internal Medicine
Rank at time of award: Associate Professor


Postpartum hemorrhage (PPH) is the #1 leading cause of global maternal mortality. It is highly treatable and amenable to intervention when detected early.Yet, tools to predict which woman will have a PPH before it is clinically manifest are limited. Innovative approaches that identify pregnant women at risk of PPH could transform pregnancy care across low-and-middle-income countries (LMIC). Our group has successfully developed a clinical prediction model for PPH in the U.S. A model in LMIC where the risk and complications of PPH are the greatest is lacking, and such a model that engages local stakeholders could improve obstetrical decision making when staff,facilities, and suppliesare limited.The overarching goal of this focused, multi-disciplinary seed grant to the OSU Institute for Population Research is to lay the groundwork for the development and deployment of a clinical prediction model for PPH for LMIC to make pregnancy safer globally.This proposal leveragesan existing NICHD platform,the Global Network for Women’s and Children’s Health Research: Maternal Newborn Health Registry, and brings this global population health resource to OSU. This proposal is withinthe programmatic focus of NICHD Population Dynamics Branch, with the focused goal of developing aPPH prediction model in LMIC. Our findings will lay the foundation forconducting a prospective trial of the impact of a PPH prediction model on clinical outcomes in LMIC in collaboration with the NICHD Global Network. Upon completion of the current proposal which establishes the necessary collaborative framework and proof-of-concept, we plan to submit our R01 to NICHD in 2021.