Department of Urology, Yale University School of Medicine, New Haven, CT, USA; GoGoband Inc. Richmond, VA, USA.
GoGoband Inc. Richmond, VA, USA.
J Pediatr Urol. 2023 Oct;19(5):557.e1-557.e8. doi: 10.1016/j.jpurol.2023.04.024. Epub 2023 Apr 29.
We evaluated a new bedwetting alarm, GOGOband®® which utilizes real time heart rate variability (HRV) analysis and applied artificial intelligence (AI) to create an alarm that can wake the user prior to wetting. Our aim was to evaluate the efficacy of GOGOband® for users in the first 18-months of use.
A quality assurance study was conducted on data retrieved from our servers, of initial users of the GOGOband® which includes a heart rate monitor, moisture sensor, bedside PC-tablet, and a parent app. There are three sequential modes beginning with Training, Predictive mode and Weaning mode. Outcomes were reviewed and data analysis was done with SPSS and xlstat.
All 54 subjects who used the system from Jan 1, 2020, to June 2021 for more than 30 nights were included in this analysis. The mean age of the subjects is 10.1 ± 3.7 yrs. Subjects wet the bed a median of 7 (IQR6-7) nights per week prior to treatment. Severity and number of accidents per night had no impact on the ability to achieve dryness with GOGOband®. A crosstab analysis was performed which indicated that high compliant users (>80%) can remain dry 93% of the time compared to the whole group 87.7%. Overall ability to achieve 14 dry nights in a row was 66.7% (36/54) with some achieving a median of 16 14-day periods of dryness (IQR 0-35.75).
We found 93% dry night rate in high compliance users in Weaning, this translates to 1.2 wet nights per 30 days. This compares to all users who wet 26.5 nights prior to treatment and 11.3 wet nights per 30 days during Training. The ability to achieve 14 days straight of dry nights was 85%. Our findings indicate that GOGOband® provides a significant benefit to all its users reducing nocturnal enuresis rates.
我们评估了一种新的尿床报警器 GOGOband®，它利用实时心率变异性（HRV）分析并应用人工智能（AI）来创建一种报警器，在用户尿床前唤醒他们。我们的目的是评估 GOGOband® 在使用的头 18 个月内对用户的疗效。
我们对从服务器中检索到的 GOGOband®初始用户的数据进行了质量保证研究，该系统包括心率监测器、湿度传感器、床边 PC 平板电脑和家长应用程序。它有三个连续的模式，从训练模式、预测模式和戒断模式开始。对结果进行了审查，并使用 SPSS 和 xlstat 进行了数据分析。
所有 54 名在 2020 年 1 月 1 日至 2021 年 6 月期间使用该系统超过 30 个晚上的受试者都包括在这项分析中。受试者的平均年龄为 10.1 ± 3.7 岁。在治疗前，受试者每周平均有 7（IQR6-7）晚尿床。严重程度和每晚尿床的次数对 GOGOband®达到干燥的能力没有影响。进行了交叉表分析，结果表明，高依从性用户（>80%）的干燥率可以达到 93%，而整个组的干燥率为 87.7%。连续 14 晚达到干燥的总能力为 66.7%（36/54），有些患者达到了中位数为 16 个 14 天干燥期（IQR 0-35.75）。
我们发现，在戒断模式下，高依从性用户的干燥夜率为 93%，这相当于每 30 天有 1.2 个潮湿夜。这与治疗前所有患者的 26.5 个潮湿夜和训练期间的 11.3 个潮湿夜相比。连续 14 天保持干燥的能力为 85%。我们的研究结果表明，GOGOband®为所有用户提供了显著的益处，降低了夜间遗尿的发生率。
