U.S Department of Health & Human ServicesHHSNational Institutes of HealthNIHNCATSNCATSCTSA ProgramCTSA
CTSA CCOS

Coordination, Communication, and Operations Support

RegisterLog In
CTSA News
Need Help

CTSA News

CTSA News

Announcements

Date

September 17, 2024

Share this News Post

N3C Study Shows Health Factors Before COVID-19 Infection May Predict Long COVID Risk

A person’s use of health care services before a COVID-19 infection may be the strongest predictor of whether they will get long COVID after an infection. These findings are according to a study of electronic health records (EHRs) from 55,257 people in the National Clinical Cohort Collaborative (N3C) database. The study results could help clinicians better focus preventive efforts on people at greater risk for getting long COVID.

 

Researchers at the University of California, Berkeley, and their colleagues conducted their study as part of the NIH Long COVID Computational Challenge. Long COVID includes a range of long-term symptoms that people have after acute COVID-19. The N3C database has EHRs from more than 8 million people who have had COVID-19…

 

Read the full article here.

Harvard Clinical and Translational Science Center's New Guide on Mentorship in Clinical and Translational Research

Previous

Cal-IVRS Renewal: Spearheading the Future of Public Health in California and Beyond

Next

Coordination, Communication, and Operations Support (CCOS) is funded by theNational Center for Advancing Translational Sciences, National Institutes of Health.

HomeContact UsPrivacy PolicyAccessibility Statement
Freedom of Information (FOIA)Office of Inspector General (OIG)Cookie Preference
X-TwitterLinkedIn icon