Is it effective to do mathematical analysis for the etiology of nocturia using the nocturia indices derived from the frequency volume chart?: A retrospective observational study

利用从排尿频率-排尿量图表中提取的夜尿指数进行夜尿病因的数学分析是否有效?:一项回顾性观察研究

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Abstract

This study aims to determine the problems involved in using a mathematical calculation to analyze the pathophysiology of nocturia using a frequency volume chart (FVC). In this retrospective study, we reviewed 253 patients who completed the FVC during ≥ 3 days for nocturia from January 2017 to February 2019. The etiology of nocturia was defined as a combination of 4 pathophysiologies, including nocturnal polyuria (NP), decreased bladder capacity (dBC), decreased nocturnal bladder capacity, and global polyuria. To analyze the differences according to diagnostic criteria for NP and dBC, 2 definitions were classified. Definition 1: NP is NP index (NPi) > 0.35 and dBC as maximal voided volume (MVV) < 325 mL. Definition 2: NP is NPi = 0.20 to 0.33 depending on age and dBC as MVV < 200 mL. The MVV in the FVC for ≥3 days was significantly higher than that for 1 day (330 mL vs 400 mL, P < .001). During the entire FVC period, all pathophysiology remained unchanged in only 16.6% of cases (inter-day variation). Of 323 days in which nocturia occurred ≥ 2 per night, 118 days (36.5%) full bladder voiding of nocturia was not the same for each day (inter-nocturia variation). According to definitions 1 and 2, the serial changes of NP and dBC showed different patterns. The mathematical calculation used in analyzing the pathophysiology of nocturia using an FVC has problems such as differences according to the duration of FVC and inability to express inter-day and inter-nocturia variations. Therefore, this mathematical calculation is not helpful when determining the treatment modality for nocturia.

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