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

NCT ID: NCT04333810

Last Updated: 2023-09-21

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 8 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2020-10-01
• Study Completion Date: 2023-07-31

Brief Summary

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.

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.

Conditions

Inflammatory Bowel Diseases

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Study Groups

Active IBD patients

Patients with active IBD, based on colonoscopic evaluation and biopsy results.

Whoop strap 3.0

Intervention Type: DEVICE

WHOOP strap 3.0, a photodiode-based device that tracks sleep duration, resting heart rate, heart rate variability, activity (calories).

IBD patients in remission

IBD patients in remission, with no recently colonoscopic evidence of disease, and only on maintenance therapy.

Whoop strap 3.0

Intervention Type: DEVICE

WHOOP strap 3.0, a photodiode-based device that tracks sleep duration, resting heart rate, heart rate variability, activity (calories).

Interventions

Whoop strap 3.0

WHOOP strap 3.0, a photodiode-based device that tracks sleep duration, resting heart rate, heart rate variability, activity (calories).

Intervention Type: DEVICE

Eligibility Criteria

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

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Milton S. Hershey Medical Center

OTHER

Sponsor Role: lead

Responsible Party

Andrew Tinsley

Associate Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Andrew Tinsley, MD

Role: PRINCIPAL_INVESTIGATOR

Milton S. Hershey Medical Center

Locations

Penn State Hershey Medical Center

Hershey, Pennsylvania, United States

Countries

United States

References

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.

Reference Type: BACKGROUND

PMID: 24749148 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 31294384 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 30279306 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 23376797 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 25907689 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 28573597 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 28478782 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 29034226 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 16360965 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 8941112 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 24747432 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 27189911 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 20093836 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 32043961 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 29317842 (View on PubMed)

Other Identifiers

STUDY14888

Identifier Type: -

Identifier Source: org_study_id