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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.
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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.
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4,200 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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