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下尿路功能障碍症状研究网络队列中夜尿症的患病率、亚型和相关因素。

Prevalence, subtypes, and correlates of nocturia in the symptoms of Lower Urinary Tract Dysfunction Research Network cohort.

机构信息

Department of Urology, University of Michigan, Ann Arbor, Michigan.

Arbor Research Collaborative for Health, Ann Arbor, Michigan.

出版信息

Neurourol Urodyn. 2020 Apr;39(4):1098-1107. doi: 10.1002/nau.24338. Epub 2020 Apr 6.

Abstract

AIMS

We determined the prevalence, severity, and correlates of nocturia in a large clinical cohort of patients.

METHODS

Patients presenting with lower urinary tract symptoms (LUTS) completed 3-day bladder diaries. Nocturia was quantified based on the mean number of nighttime voids documented over the 3 days. Nocturia subtypes (global polyuria, nocturnal polyuria [NP], reduced global bladder capacity, and reduced nocturnal bladder capacity) were assessed. Bother due to nocturia was measured by the LUTS Tool. Sleep quality was assessed with the Patient-Reported Outcomes Measurement Information System Sleep Scale. Multivariable multinomial regression was used to explore patient characteristics associated with nocturia.

RESULTS

In 502 participants with analyzable diaries (285 men and 217 women), the mean number of nocturia episodes over 3 days was 0 in 103 (20.5%), >0 to <1 in 151 (20.1%), 1 to <2 in 165 (32.9%), and ≥2 in 83 (16.5%). Sixty-seven percent of the participants with nocturia ≥1 reported significant bother from their nocturia. NP was the most common nocturia subtype and was present in 17% of those with nocturia = 0, 40% of those with nocturia >0 to <1, 65% of those with nocturia 1 to <2%, and 77% with nocturia 2+. Higher degrees of nocturia were associated with male sex, greater sleep disturbance, and a higher likelihood of exhibiting multiple nocturia subtypes.

CONCLUSIONS

Nocturia ≥1 occurred in 49% of LUTS patients and caused significant bother in the majority of them. The most common subtype was NP, but a substantial proportion of patients exhibited additional characteristics.

摘要

目的

我们在一个大型临床患者队列中确定了夜尿症的患病率、严重程度及其相关因素。

方法

出现下尿路症状(LUTS)的患者完成了 3 天的膀胱日记。根据 3 天内记录的夜间排尿次数的平均值来量化夜尿症。评估夜尿症的亚型(总体多尿、夜间多尿[NP]、整体膀胱容量减少和夜间膀胱容量减少)。夜尿症引起的困扰通过 LUTS 工具进行测量。睡眠质量通过患者报告的结局测量信息系统睡眠量表进行评估。使用多变量多项回归来探索与夜尿症相关的患者特征。

结果

在 502 名可分析日记的参与者中(285 名男性和 217 名女性),3 天内夜间排尿次数的平均值为 0 的有 103 人(20.5%)、>0 至<1 的有 151 人(20.1%)、1 至<2 的有 165 人(32.9%)和≥2 的有 83 人(16.5%)。67%的夜尿症≥1 的患者表示他们的夜尿症有明显的困扰。NP 是最常见的夜尿症亚型,在夜尿症=0 的患者中占 17%、在夜尿症>0 至<1 的患者中占 40%、在夜尿症 1 至<2%的患者中占 65%、在夜尿症 2+的患者中占 77%。夜尿症程度越高,与男性性别、更大的睡眠干扰以及更有可能表现出多种夜尿症亚型相关。

结论

49%的 LUTS 患者出现夜尿症≥1,且大多数患者都感到明显困扰。最常见的亚型是 NP,但相当一部分患者还表现出其他特征。

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