Symptom Based Clustering of Women in the LURN Observational Cohort Study.

ABSTRACT:

Purpose

Women with lower urinary tract symptoms are often diagnosed based on a predefined symptom complex or a predominant symptom. There are many limitations to this paradigm as often patients present with multiple urinary symptoms which do not perfectly fit the preestablished diagnoses. We used cluster analysis to identify novel, symptom based subtypes of women with lower urinary tract symptoms.

Materials and methods

We analyzed baseline urinary symptom questionnaire data obtained from 545 care seeking female participants enrolled in the LURN (Symptoms of Lower Urinary Tract Dysfunction Research Network) Observational Cohort Study. Symptoms were measured with the LUTS (lower urinary tract symptoms) Tool and the AUA SI (American Urological Association Symptom Index), and an

SUBMITTER: Andreev VP 

PROVIDER: S-EPMC6298822 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature