Ontology highlight
ABSTRACT: Background
Respiratory symptoms are common in the general adult population. Increased burden of respiratory symptoms may increase the risk of mortality. We assessed the association between respiratory symptom clusters and mortality.Methods
Participants were derived from two population-based Swedish adult cohorts (N = 63,060). Cluster analysis was performed with Locality Sensitive Hashing (LSH)-k-prototypes in subjects with ≥ 1 self-reported respiratory symptom. Linked mortality register data (up to 21 years of follow-up, > 600,000 person-years) were used. Associations between clusters and all-cause/cause-specific mortality were assessed using asymptomatic subjects as reference.Results
Over 60% reported ≥ 1 respiratory symptom and ~ 30% reported ≥ 5 respiratory sympt
SUBMITTER: Lisik D
PROVIDER: S-EPMC12004835 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature