COMBATCOVID (Consortium for Multisite Biomedical Analytics and Trials on COVID-19)

NYU PIs

COVID-19 cases in the New York City tri-state area have reached extraordinarily high number and have quickly become an epicenter region of the crisis in the United States. In New York State alone, there are over 400,000 confirmed cases as of July 1, 2020. NYU Langone Health (NYULH) has been particularly hard hit, treating over 31,000 COVID-19 patients since March 14, 2020.

The complexity of the development of this disease and unpredictability of progression into severity, as well as the variety of phenotypic outcomes observed during and post COVID-19, pose major challenges in understanding, predicting, preventing, managing and treating this disease and its sequelae. Answers to these challenges can only be achieved through the comprehensive analysis of a significantly high number of COVID cases. Given how recent and unknown this disease is, and its inherent epidemic nature, there are a limited number of cases at individual medical institutions. The limitation of the number of cases per institution becomes even more relevant when isolating subpopulations with specific health conditions and across the lifespan.

The study will aim to overcome the above-mentioned challenges by supporting the formation of a consortium comprising multiple medical institutions in the U.S.: COMBATCOVID (Consortium for Multisite Biomedical Analytics and Trials on COVID-19). Co-Principal Investigators from NYU Langone Health/Grossman School of Medicine include Stephen Johnson, PhD and Silvia Curado, PhD, MSc. Dr. Johnson says of the project and the NYU CTSI, “The CTSI was well-prepared at the start of this crisis because of our strong technical informatics infrastructure at NYU Langone Health and we were well poised to collaborate with the national database, NC3. Our strong connections to our partners allowed us to build liaisons with these sites and form a cohesive group for this project”.

COMBATCOVID will bring together electronic health records (EHR) data from 7 participating institutions (see below) into a shared centralized database. As part of the COMBATCOVID effort, biospecimens data of COVID-19 patients collected by some of the participating institutions will also be shared and linked to the respective EHR data. The COMBATCOVID consortium will be responsible for transferring EHR data pertaining to participating institutions interested in contributing EHR data to the N3C database. COMBATCOVID is supported by NIH/NCATS and the CTSA Consortium Hubs.

Participating Hub Institutions:
NYU Grossman School of Medicine at NYU Langone Health
Albert Einstein College of Medicine
Ichan School of Medicine at Mount Sinai
Rutgers Biomedical/Health Sciences
State University of New York at Buffalo
University of Rochester
Wake Forest University Health Sciences

Publishing CTSA Program Hub’s Name
CTSA Program In Action Goals
Goal 5: Advance the Use of Cutting-Edge Informatics