Long COVID Longitudinal Symptoms Burden Clusters Within A National Community-Based Cohort.

ABSTRACT:

Background

Long COVID is clinically heterogeneous, with evolving symptom trajectories that complicate classification. Prior clustering studies often rely on Electronic Health Records data, risking underreporting. We used longitudinal, community-based data to characterize symptom clusters and risk factors.

Methods

We analyzed CHASING COVID Cohort participants with confirmed SARS-CoV-2 infection between December 2020 and December 2022, ≥12 months of follow-up, and long COVID (≥1 new symptom and concurrent activity limitation 3-12 months post-infection, both absent pre-infection). The infection in this window was the index infection; those with pre-index long COVID were excluded. Symptoms were self-reported pre-infection and at ~3, 6, 9, and 12 months. Missing data were handled

SUBMITTER: Shen Y 

PROVIDER: S-EPMC12637793 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature