The post-COVID syndrome known as long COVID has four major subtypes defined by different clusters of symptoms, according to a study led by researchers at Weill Cornell Medicine.
The study, published Dec. 1 in Nature Medicine, was the largest of its kind to examine long COVID. The researchers, who represent clinicians and informaticists, used a machine-learning algorithm to spot symptom patterns in the health records of nearly 35,000 U.S. patients who tested positive for SARS-CoV-2 infection and later developed lingering long-COVID-type symptoms.
Funded by the National Institutes of Health’s Researching COVID to Enhance Recovery (RECOVER) initiative, this research is part of a one-year $9.8 million grant focusing on electronic health record cohort studies, spearheaded by principal investigator Dr. Rainu Kaushal, senior associate dean for clinical research and chair of the Department of Population Health Sciences at Weill Cornell Medicine.
Study identifies four major subtypes of long COVID | Cornell Chronicle
