Male Voiding Behavior: Insight from 19,824 At-Home Uroflow Profiles.
Male Voiding Behavior: Insight from 19,824 At-Home Uroflow Profiles.
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DOI:
10.1097/ju.0000000000001504
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发表时间:
2021-04
期刊:
影响因子:
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通讯作者:
Hotaling JM
中科院分区:
文献类型:
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作者:
Summers SJ;Armstrong JM;Kaplan SA;Te AE;Le A;Heiner SM;Presson AP;Wei G;Hotaling JM
Benign prostatic hyperplasia is one of the most common conditions seen by a general urologist. Validated questionnaires provide insight into patient symptoms, however office based uroflow devices are limited by the variability of voiding behavior. Using a home uroflow device, we assessed individual voiding variability, temporal distribution of voiding parameters, and the impact of age on voiding. Between April 2019 and June 2020, 19,824 unique voiding profiles were captured using the Stream Dx Uroflowmeter and retrospectively analyzed. Age and number of voids were summarized by mean +/− standard deviation. We used mixed effects models to compare average values and intra-patient variability of voiding parameters to time of day and age. The coefficient of variation (CV) was used to assess intra-patient variability. A total of 637 patients were identified with 625 meeting inclusion criteria, producing 19,824 voids. Mean age was 67 (+/−10.2) years old, each patient provided on average 5 (+/−3.3) voids a day, over 7 days. Average intra-patient voiding parameters showed notable variability, where the CV for max flow (Qmax) was 27.6% (95% CI: 26.6% to 28.6%). Early morning voids were associated with higher volume and lower number of voids. As age progressed, voiding profiles worsened in a linear fashion. Afternoon and evening voids were associated with reduced intra-patient variability relative to early morning voids. Assessment of 19,824 uroflows using an accurate and precise home uroflow device demonstrates that an individual’s voiding parameters vary greatly from day to day, throughout the day, and worsen with age. Multiple measurements performed at home provides a more realistic assessment of true voiding behavior by capturing individual voiding variability and can help urologists make better decisions in patient care.