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日本夜间多尿症患者夜间多尿的患病率及预测因素:一项多中心回顾性队列研究。

The prevalence and predictive factors of nocturnal polyuria in Japanese patients with nocturia: a multicentral retrospective cohort study.

机构信息

Department of Urology, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, Gifu, 501-1194, Japan.

Nishino Clinic, 1-55-2 Mitsuicho, Kagamihara, Gifu, 504-0941, Japan.

出版信息

Sci Rep. 2023 Oct 24;13(1):18128. doi: 10.1038/s41598-023-45311-z.

Abstract

The aims of this study were to determine the prevalence and predictors of nocturnal polyuria (NP) in Japanese patients. This multicentral, observational study enrolled patients with the chief complaint of nocturia at 17 Japanese institutions between January 2018 and December 2022. The frequency of daily voiding and volume of urination were evaluated using bladder diaries. NP was diagnosed in patients with an NP index of > 33%. The primary endpoint was NP prevalence in patients with nocturia. The secondary endpoints were the prevalence of NP according to sex and age and the identification of factors predicting NP. This study analyzed 875 eligible patients. NP was present in 590 (67.4%) patients, with prevalence rates of 66.6% and 70.0% in men and women, respectively. Age ≥ 78 years, body mass index (BMI) < 23.0 kg/m, and patients with ischemic heart or cerebrovascular disease were significant predictors of NP (P < 0.001, P < 0.001, P = 0.014, P = 0.016, respectively). This is the first large multicenter study to investigate the prevalence of NP in Japanese patients with nocturia. NP has a prevalence of 67.4%. Significant predictors of NP include age, BMI, and cardiovascular disease.

摘要

本研究旨在确定日本患者夜间多尿症(NP)的患病率及其预测因素。这项多中心、观察性研究纳入了 2018 年 1 月至 2022 年 12 月期间在 17 家日本机构以夜间多尿为主诉的患者。使用膀胱日记评估每日排尿次数和排尿量。NP 患者的 NP 指数>33%。主要终点是夜间多尿症患者中 NP 的患病率。次要终点是男女患者中 NP 的患病率以及预测 NP 的因素的确定。本研究共分析了 875 名合格患者。590 名(67.4%)患者存在 NP,男性和女性的 NP 患病率分别为 66.6%和 70.0%。年龄≥78 岁、体重指数(BMI)<23.0kg/m2、患有缺血性心脏病或脑血管疾病是 NP 的显著预测因素(P<0.001、P<0.001、P=0.014、P=0.016,分别)。这是第一项调查日本夜间多尿症患者 NP 患病率的大型多中心研究。NP 的患病率为 67.4%。NP 的显著预测因素包括年龄、BMI 和心血管疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a52b/10597993/dfed3a318fe4/41598_2023_45311_Fig1_HTML.jpg

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