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Novel Classification Algorism Derived From 3-day Bladder Diary for Female Storage Lower Urinary Tract Symptoms and Correlations of Clinical and Urodynamic Findings
Storage urinary symptoms are the most complained of lower urinary tract symptoms (LUTS) and need further classification. This original study aims to derive a novel classification algorism for female storage LUTS according to a 3-day bladder diary (BD). Further feasibility of the application was also evaluated.
Between July 2009 and December 2021, all women with storage lower urinary tract symptoms (LUTS) who visited the urogynecological department of a medical center were included. Women without complete data of a 3-day bladder diary (BD) were excluded from this study. The women were allocated into 12 groups according to the study flowchart based on their LUTS, including urinary urgency, stress urinary incontinence, urgency urinary incontinence, nocturia and frequency. MedCalc software was used for statistical analysis. Analysis of variance (ANOVA) was applied, and a P-value of less than 0.05 was considered as statistically significant. Post-hot analyses by the Student-Newman-Keuls test were performed only in those comparisons with p \< 0.05 after ANOVA.
Age
20 - 85 years
Sex
FEMALE
Healthy Volunteers
No
Pei-chi Wu
Taipei, Taiwan
Start Date
July 1, 2009
Primary Completion Date
December 31, 2021
Completion Date
December 31, 2021
Last Updated
February 5, 2024
4,200
ACTUAL participants
Bladder diary
DIAGNOSTIC_TEST
Lead Sponsor
National Taiwan University Hospital
NCT07247136
NCT06706362
NCT06862648
Data Source & Attribution
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