- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04333810
Remote Physiologic Monitoring to Detect Inflammatory Bowel Disease (IBD) Flares: A Feasibility Study
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
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.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Pennsylvania
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Hershey, Pennsylvania, United States, 17033
- Penn State Hershey Medical Center
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- IBD patients at Penn State Milton S. Hershey Medical Center
- Age greater than 18
Exclusion Criteria:
- 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
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
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Active IBD patients
Patients with active IBD, based on colonoscopic evaluation and biopsy results.
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WHOOP strap 3.0, a photodiode-based device that tracks sleep duration, resting heart rate, heart rate variability, activity (calories).
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IBD patients in remission
IBD patients in remission, with no recently colonoscopic evidence of disease, and only on maintenance therapy.
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WHOOP strap 3.0, a photodiode-based device that tracks sleep duration, resting heart rate, heart rate variability, activity (calories).
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Inflammatory Bowel Disease flares
Time Frame: 6 months
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Inflammatory Bowel Disease flares will be assessed by symptomatology and verified by colonoscopic biopsies to confirm active disease, reemergence of disease, or new disease.
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6 months
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Change in Sleep (hours per night)
Time Frame: 6 months, change measured every 2 weeks
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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.
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6 months, change measured every 2 weeks
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Change in Heart Rate Variability (HRV)
Time Frame: 6 months, change measured every 2 weeks
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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.
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6 months, change measured every 2 weeks
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Change in Resting Heart Rate (RHR)
Time Frame: 6 months, change measured every 2 weeks
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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.
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6 months, change measured every 2 weeks
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Andrew Tinsley, MD, Milton S. Hershey Medical Center
Publications and helpful links
General Publications
- Shaffer F, Ginsberg JP. An Overview of Heart Rate Variability Metrics and Norms. Front Public Health. 2017 Sep 28;5:258. doi: 10.3389/fpubh.2017.00258. eCollection 2017.
- Bullinga JR, Alharethi R, Schram MS, Bristow MR, Gilbert EM. Changes in heart rate variability are correlated to hemodynamic improvement with chronic CARVEDILOL therapy in heart failure. J Card Fail. 2005 Dec;11(9):693-9. doi: 10.1016/j.cardfail.2005.06.435.
- Tsuji H, Larson MG, Venditti FJ Jr, Manders ES, Evans JC, Feldman CL, Levy D. Impact of reduced heart rate variability on risk for cardiac events. The Framingham Heart Study. Circulation. 1996 Dec 1;94(11):2850-5. doi: 10.1161/01.cir.94.11.2850.
- Berryhill S, Morton CJ, Dean A, Berryhill A, Provencio-Dean N, Patel SI, Estep L, Combs D, Mashaqi S, Gerald LB, Krishnan JA, Parthasarathy S. Effect of wearables on sleep in healthy individuals: a randomized crossover trial and validation study. J Clin Sleep Med. 2020 May 15;16(5):775-783. doi: 10.5664/jcsm.8356. Epub 2020 Feb 11.
- Carson HJ, Dudley MH, Knight LD, Lingamfelter D. Psychosocial complications of Crohn's disease and cause of death. J Forensic Sci. 2014 Mar;59(2):568-70. doi: 10.1111/1556-4029.12314.
- Jones JL, Nguyen GC, Benchimol EI, Bernstein CN, Bitton A, Kaplan GG, Murthy SK, Lee K, Cooke-Lauder J, Otley AR. The Impact of Inflammatory Bowel Disease in Canada 2018: Quality of Life. J Can Assoc Gastroenterol. 2019 Feb;2(Suppl 1):S42-S48. doi: 10.1093/jcag/gwy048. Epub 2018 Nov 2.
- Sobolewska-Wlodarczyk A, Wlodarczyk M, Banasik J, Gasiorowska A, Wisniewska-Jarosinska M, Fichna J. Sleep disturbance and disease activity in adult patients with inflammatory bowel diseases. J Physiol Pharmacol. 2018 Jun;69(3). doi: 10.26402/jpp.2018.3.09. Epub 2018 Sep 28.
- Ananthakrishnan AN, Long MD, Martin CF, Sandler RS, Kappelman MD. Sleep disturbance and risk of active disease in patients with Crohn's disease and ulcerative colitis. Clin Gastroenterol Hepatol. 2013 Aug;11(8):965-71. doi: 10.1016/j.cgh.2013.01.021. Epub 2013 Feb 1.
- Swanson GR, Gorenz A, Shaikh M, Desai V, Forsyth C, Fogg L, Burgess HJ, Keshavarzian A. Decreased melatonin secretion is associated with increased intestinal permeability and marker of endotoxemia in alcoholics. Am J Physiol Gastrointest Liver Physiol. 2015 Jun 15;308(12):G1004-11. doi: 10.1152/ajpgi.00002.2015. Epub 2015 Apr 23.
- Jimenez Morgan S, Molina Mora JA. Effect of Heart Rate Variability Biofeedback on Sport Performance, a Systematic Review. Appl Psychophysiol Biofeedback. 2017 Sep;42(3):235-245. doi: 10.1007/s10484-017-9364-2.
- Goessl VC, Curtiss JE, Hofmann SG. The effect of heart rate variability biofeedback training on stress and anxiety: a meta-analysis. Psychol Med. 2017 Nov;47(15):2578-2586. doi: 10.1017/S0033291717001003. Epub 2017 May 8.
- Liu G, Wang L, Wang Q, Zhou G, Wang Y, Jiang Q. A new approach to detect congestive heart failure using short-term heart rate variability measures. PLoS One. 2014 Apr 18;9(4):e93399. doi: 10.1371/journal.pone.0093399. eCollection 2014.
- Riaz MS, Atreja A. Personalized Technologies in Chronic Gastrointestinal Disorders: Self-monitoring and Remote Sensor Technologies. Clin Gastroenterol Hepatol. 2016 Dec;14(12):1697-1705. doi: 10.1016/j.cgh.2016.05.009. Epub 2016 May 14.
- Baars JE, Markus T, Kuipers EJ, van der Woude CJ. Patients' preferences regarding shared decision-making in the treatment of inflammatory bowel disease: results from a patient-empowerment study. Digestion. 2010;81(2):113-9. doi: 10.1159/000253862. Epub 2010 Jan 9.
- Engels M, Cross RK, Long MD. Exercise in patients with inflammatory bowel diseases: current perspectives. Clin Exp Gastroenterol. 2017 Dec 22;11:1-11. doi: 10.2147/CEG.S120816. eCollection 2018.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- STUDY14888
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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