Symptom Based Clustering of Women in the LURN Observational Cohort Study
| Autor: | Kevin P. Weinfurt, J. Quentin Clemens, Gang Liu, Abigail R. Smith, Margaret E. Helmuth, Brian T. Helfand, James W. Griffith, Ziya Kirkali, John O.L. DeLancey, David Cella, Anne P. Cameron, Robert M. Merion, Jonathan B. Wiseman, Claire C Yang, Matthew O. Fraser, H. Henry Lai, Brenda W. Gillespie, Victor P. Andreev |
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| Rok vydání: | 2018 |
| Předmět: |
Stress incontinence
medicine.medical_specialty Urge urinary incontinence business.industry Urology Urinary system 030232 urology & nephrology medicine.disease 03 medical and health sciences 0302 clinical medicine Overactive bladder Lower urinary tract symptoms Internal medicine medicine Nocturia 030211 gastroenterology & hepatology Patient-reported outcome medicine.symptom business Cohort study |
| Zdroj: | Journal of Urology. 200:1323-1331 |
| ISSN: | 1527-3792 0022-5347 |
| Popis: | 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 analyzed using a probability based consensus clustering algorithm.Results: Four clusters were identified. The 138 women in cluster F1 did not report incontinence but experienced post-void dribbling, frequency and voiding symptoms. The 8... |
| Databáze: | OpenAIRE |
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