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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT06381921
Other study ID # B2023-0046
Secondary ID
Status Not yet recruiting
Phase N/A
First received
Last updated
Start date May 1, 2025
Est. completion date February 28, 2029

Study information

Verified date April 2024
Source University of Connecticut
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The objectives of the study are to 1) Conduct telemetric biosignals (EDA, ECG, and EMG) recording in healthy controls and IBS participants experiencing cutaneous and visceral pain; and 2) Validate the OIME index as a biomarker for quantifying pain in IBS participants and its capability to assess the treatment of IBS pain via an ambulatory trial.


Description:

In part 1, data collection for training the OIME model, we will collect autonomic and muscular activities with integrated biosignal device and visceral pain level in both healthy controls and IBS participants. These data will be used to train a machine learning model to produce an objective integrated multimodal electrophysiological (OIME) index. In part 2, the ambulatory trial, we will collect data to validate the OIME index as a biomarker of pain in IBS participants. We will run an ambulatory trial to validate the OIME index as a biomarker to assess the treatment of IBS pain.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 120
Est. completion date February 28, 2029
Est. primary completion date October 31, 2027
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 50 Years
Eligibility Inclusion Criteria: - Participants need to be diagnosed with IBS by a healthcare provider according to Rome-III or -IV criteria, with a current report of abdominal pain. - Men and women 18-50 years old - Able to read and speak English - Daily access to a computer with internet access. Exclusion Criteria: - Other chronic pains that are usually not comorbid with IBS, e.g., diabetic neuropathy, myofascial pain, low back pain, peripheral neuropathy etc. - Celiac disease or inflammatory bowel disease - Diabetes mellitus; d) Serious mental health conditions - Women during pregnancy or within 3 months post-partum period - Self- reported Regular use of opioids or other illicit substances. - Participants who have had COVID-19 should be fully recovered, and will be asked if their medical provider has made any restriction on activities.

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
IBS-PPSM intervention
IBS-PPSM intervention includes 10 video modules focused on IBS knowledge and self-management skills plus one-on-one consultation with a nurse for personalized advice about self-monitoring, diet, sleep, and goal setting.

Locations

Country Name City State
n/a

Sponsors (2)

Lead Sponsor Collaborator
University of Connecticut Yale University

Outcome

Type Measure Description Time frame Safety issue
Primary Pain intensity and interference Brief Pain Inventory (BPI) scale: the 9-item scale measures pain intensity and interference using 0 - 10 rating scales. Higher score indicates higher levels of pain intensity and interference. Baseline and 4-week follow-up; Weekly Online Logs
Primary IBS-related symptoms Qualitative narrative data will be collected including self-reported stool frequency, quality, form, and abdominal bloating or distention symptoms. Online diary format data. Baseline and 4-week follow-up; Weekly Online Logs
Primary Electrodermal activity (EDA) EDA will be recorded non-invasively via surface electrodes on an abdominal belt; unit: µS Baseline and 4-week follow-up
Primary Electrocardiogram (ECG) ECG will be recorded non-invasively via surface electrodes on an abdominal belt; unit: mV Baseline and 4-week follow-up
Primary Electromyogram (EMG) EMG will be recorded non-invasively via surface electrodes on an abdominal belt; unit: mV Baseline and 4-week follow-up
Primary Objective integrated multimodal electrophysiological index Objective integrated multimodal electrophysiological (OIME) index as a biomarker for visceral pain will be generated and validated through integration of surface bio-signal recordings of EDA, ECG, and EMG via a supervised machine-learning algorithm. Baseline and 4-week follow-up
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