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ABSTRACT: Aims
Men with lower urinary tract symptoms (LUTS) represent a heterogeneous group, and treatment decisions are often based on severity of symptoms and physical examination findings. Identification of clinically meaningful subtypes could allow for more personalized care. This study advances phenotyping efforts from the Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) by adding data domains to previous phenotyping using urologic symptoms alone.Methods
Two-hundred-seventeen LUTS, demographics, medical history, and physical examination datapoints from the LURN Observational Cohort study were assessed among 519 men with at least one bothersome LUTS, using weighted Tanimoto indices, semi-supervised learning, and resampling-based consensus clustering to identify
SUBMITTER: Helmuth ME
PROVIDER: S-EPMC11665771 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature