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…
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