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临床试验/NCT04333810
NCT04333810已完成不适用

Remote Physiologic Monitoring to Detect Inflammatory Bowel Disease (IBD) Flares: A Feasibility Study

Milton S. Hershey Medical Center1 个研究点 分布在 1 个国家目标入组 8 人开始时间: 2020年10月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
8
试验地点
1
主要终点
Change in Heart Rate Variability (HRV)

研究概览

简要总结

Inflammatory bowel disease (IBD) has become a more prominent disease in the US population, with more than 3 million adults in the US affected. To manage this disease effectively, physicians tend to need to have a multidisciplinary approach as there are many psychosocial implications of chronic gastrointestinal illnesses like Crohn's and Ulcerative Colitis. Recent literature has supported the desire for telemedicine and remote physiologic monitoring for such patients to allow the patient to be more active in their treatments and make physicians more aware of what their bodies are doing from a physiologic perspective. Whoop is a new device founded in 2011 that has grown in popularity for its ability to accurately measure sleep patterns, resting heart rate, and heart rate variability (HRV) amongst other various physiologic measurements. Newer literature supports that depressed heart rate variability can correlate to disease flares such as heart failure exacerbations. The study investigators proposed that using remote physiologic monitoring in the IBD population along with their symptoms can help predict disease severity and potentially lead to earlier interventions if correlations are accurate. It can also spark interest in the younger generation for remote physiologic monitoring and telemedicine, which is believed to be beneficial in patients with chronic illnesses.

详细描述

The prevalence of inflammatory bowel disease continues to rise in the United States, with an estimated 3 million adults carrying this diagnosis in 2015. With inflammatory bowel disease (IBD) comes significant psychosocial implications [Carson, 2013].These patients often feel alone and isolated due to their underlying disease burden. Literature has supported that subjectively; these patients often feel like they are isolated and also have a poor quality of life [Jones, 2019]. One of the biggest factors that has been evaluated in determining quality of life has been sleep. With the aid of the Pittsburgh Quality Sleep Index (PSQI), there has been proof that patients with active disease have poor sleep quality compared to their counterparts with IBD patients in general having worse sleep cycles as compared to healthy individuals [Sobolewska-Wlodarczyk, 2018; Ananthakrishnan, 2013]. It is hypothesized that disruption of the circadian system increases the release of inflammatory cytokines and immune activation, playing a role in chronic inflammatory diseases [Swanson, 2011]. Despite these correlations with sleep via subjective measures, no great objective data has been collected on this patient population.

Another physiologic measurement that has been used for prediction and management of chronic diseases is heart rate variability (HRV). One highly investigated disease was heart failure [Jimenez-Morgan, 2017; Goessl, 2017, Shaffer, 2017; Bullinga; 2005; Tsuji, 1996]. The metric of HRV was used to predict mortality in heart failure with reduced ejection fraction and new cardiac events for which depressed HRV was predictive of more disease burden [Liu, 2014]. Other chronic diseases have yet been explored in regard to quantifiable physiologic measures.

There has been a push amongst all providers to search for a better way to connect with their patients. Multiple mobile applications have been explored, especially in the IBD community [Riaz, 2016]. These individuals are wanting to be more involved in their care and be kept in the loop. The investigators propose utilizing the Whoop Strap 3.0 to evaluate a number of physiologic metrics as well as sleep measures. Telemonitoring is currently being explored in this population, but there is a desire for something more that can quantify data: remote physiologic monitoring. This device can also help with shared decision making and have the patient directly involved in his or her care [Baars, 2010]. A recent study validated the Whoop device for sleep tracking and compared it to polysomnography, nearly identical in their results [Berryhill, 2020]. The device can also promote good healthy lifestyles with exercise, which is known to beneficial in this population [Engels, 2017].

For this project, the investigators propose to investigate disease activity in accordance to physiologic and lifestyle measures utilizing the Whoop strap 3.0. This device and mobile application allow the patient to input everyday symptoms and overall activity which can allow us to correlate some subjective symptoms of potential disease flare with physiologic measurements. There is no published literature looking at the IBD population and has only been investigated in the cardiology realm, which has shown some positive correlation with chronic disease.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • IBD patients at Penn State Milton S. Hershey Medical Center
  • Age greater than 18

排除标准

  • Inability to wear Whoop Strap 3.0 for 24 hours per day for 6 months
  • Subjects who are pregnant
  • Subjects who are on anti-arrhythmic medications
  • Subjects who are prisoners

结局指标

主要结局

Change in Heart Rate Variability (HRV)

时间窗: 6 months, change measured every 2 weeks

Heart Rate Variability will be objectively measured nightly using the wearable Whoop strap 3.0. Average two-week values will be assessed for change every 2 weeks over the duration of the study.

Change in Resting Heart Rate (RHR)

时间窗: 6 months, change measured every 2 weeks

Resting Heart Rate will be objectively measured nightly using the wearable Whoop strap 3.0. Average two-week values will be assessed for change every 2 weeks over the duration of the study.

Inflammatory Bowel Disease flares

时间窗: 6 months

Inflammatory Bowel Disease flares will be assessed by symptomatology and verified by colonoscopic biopsies to confirm active disease, reemergence of disease, or new disease.

Change in Sleep (hours per night)

时间窗: 6 months, change measured every 2 weeks

Sleep will be objectively measured nightly using the wearable Whoop strap 3.0, and averages will be compared every 2 weeks over the duration of the study.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Andrew Tinsley

Associate Professor

Milton S. Hershey Medical Center

研究点 (1)

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