Precision Symptom Phenotyping Identifies Early Clinical and Proteomic Predictors of Distinct COVID-19 Sequelae.

ABSTRACT:

Background

Post-COVID conditions (PCC) are difficult to characterize, diagnose, predict, and treat due to overlapping symptoms and poorly understood pathology. Identifying inflammatory profiles may improve clinical prognostication and trial endpoints.

Methods

This analysis included 1988 SARS-CoV-2 positive U.S. Military Health System beneficiaries who had quantitative post-COVID symptom scores. Among participants who reported moderate-to-severe symptoms on surveys collected 6 months post-SARS-CoV-2 infection, principal component analysis followed by k-means clustering identified distinct clusters of symptoms.

Results

Three symptom-based clusters were identified: a sensory cluster (loss of smell and/or taste), a fatigue/difficulty thinking cluster, and a difficulty bre

SUBMITTER: Epsi NJ 

PROVIDER: S-EPMC12308661 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature