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一种新型数字健康监测系统测量排尿量的验证。

Validation of a novel digital health monitoring system to measure the volume of voided urine.

机构信息

Department of Urology, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.

Advanced Medical Research Center, Faculty of Medicine, University of the Ryukyus, Okinawa, Japan.

出版信息

Neurourol Urodyn. 2019 Apr;38(4):1106-1110. doi: 10.1002/nau.23965. Epub 2019 Mar 8.

DOI:10.1002/nau.23965
PMID:30848839
Abstract

AIM

To validate a novel digital health monitoring system to measure the volume of voided urine.

METHODS

Micturition volume was calculated using our novel digital self-health monitoring system of urine excretion (s-HMSU) in 18 participants (16 women and 2 men; average age, 40.8 years), without a history of voiding symptoms. Participants completed a self-reported questionnaire regarding their medical history and water intake during the period of observation, as well as the Core Lower Urinary Tract Symptom Score (CLSS) questionnaire. To assess the reliability of the voided volumes measured using the s-HMSU, the intraclass correlation coefficient (ICC) was calculated between the volume and the change in body weight before and after micturition.

RESULTS

The CLSS questionnaire confirmed the absence of urinary system diseases in all participants. The medical history was also negative with the exception of hypertension in one participant. The ICC (1,1) between the measured volume of urine excretion using the s-HMSU and the change in body weight was 0.972 (95% confidence interval, 0.957-0.982).

CONCLUSIONS

The s-HMSU system provides a reliable measure of voiding volume and is appropriate for home use. It has the potential to facilitate large-scale clinical research to examine the relationship between medical diseases and voiding dysfunction.

摘要

目的

验证一种新型的数字健康监测系统,以测量排尿量。

方法

在 18 名参与者(16 名女性和 2 名男性;平均年龄 40.8 岁)中,使用我们新型的数字自我健康监测系统(s-HMSU)测量排尿量,这些参与者均无排尿症状史。参与者在观察期间完成了一份关于他们的病史和饮水量的自我报告问卷,以及核心下尿路症状评分(CLSS)问卷。为了评估使用 s-HMSU 测量的排尿量的可靠性,计算了体积与排尿前后体重变化之间的组内相关系数(ICC)。

结果

CLSS 问卷确认所有参与者均无泌尿系统疾病。除一名参与者患有高血压外,病史也呈阴性。s-HMSU 测量的尿量与体重变化之间的 ICC(1,1)为 0.972(95%置信区间,0.957-0.982)。

结论

s-HMSU 系统提供了一种可靠的排尿量测量方法,适合家庭使用。它有可能促进大规模的临床研究,以检查医学疾病与排尿功能障碍之间的关系。

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