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Dataset Information

Development and validation of models predicting treatment patterns in women with urinary urgency and/or urgency incontinence: A Symptoms of Lower Urinary Tract Dysfunction Research Network observational cohort study.


ABSTRACT:

Purpose

To develop a tool to predict a woman's treatment pattern for bothersome urinary urgency (UU) and/or UU incontinence over 1 year after presenting for care at urology or urogynecology clinics.

Methods

The Symptoms of Lower Urinary Tract Dysfunction Research Network observational cohort study enrolled adult women with bothersome UU and/or UU incontinence using the lower urinary tract symptoms (LUTS) Tool who were seeking care for LUTS. Treatments for UU and/or urgency incontinence were ordered from least to most invasive. Ordinal logistic and Cox proportional hazard regression models were fit to predict the most invasive level of treatment during follow-up and overactive bladder (OAB) medication discontinuation, respectively. Binary logistic regression was performed to

SUBMITTER: Bretschneider CE 

PROVIDER: S-EPMC10581676 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature