Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT04995224 |
Other study ID # |
279414 |
Secondary ID |
|
Status |
Recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
October 18, 2021 |
Est. completion date |
June 1, 2024 |
Study information
Verified date |
March 2024 |
Source |
Queen Mary University of London |
Contact |
Iman Khwaja |
Phone |
02078822655 |
Email |
i.khwaja[@]qmul.ac.uk |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational [Patient Registry]
|
Clinical Trial Summary
Abdominal pain is a common symptom in patients with inflammatory bowel disease (IBD). Up to
70 % of IBD patients experience pain when the disease is active. Even when patients with IBD
are in remission, 20-50 % experience ongoing pain. The precise mechanism of developing
chronic abdominal pain in patients with IBD in remission remains unknown.
The aim of this study is to identify psychophysiological and biological risk factors for the
development of chronic abdominal pain in patients with newly diagnosed IBD (ulcerative
colitis and Crohn's disease).
This study consists of 4 sections (Study 1A, 1B, 2, and 3):
Study 1A: We perform a longitudinal study in 150 patients with new-onset IBD over 18 months
to identify risk factors related to the brain-gut axis for the development of chronic pain.
This is a collaborative study with IBD BioResourse Inception study. We administer online
questionnaires, collect stool and blood samples, and record heart rate. Other physiological
data collected by the Inception study will be also used for the analysis.
Study 1B: This is also a collaborative study with the Inception study. We will apply for our
detailed questionnaires for 7 days (as per study 1A) to be administered to all the new
patients (n=450) that are included in the Inception study on a voluntary basis. Patients will
be followed for 12 months.
Study 2 and 3: Study 2 and 3 are a questionnaire-based cross-sectional study in patients with
IBD. The participants for study 2 are patients registered in IBD BOOST study and those for
study 3 are patients registered in IBD BioResource (but not in IBD Boost study). Detailed
online questionnaires will be administered to them. These studies are just one-day
assessment.
Description:
This study consists of 4 sections (Study 1A, 1B, 2, and 3).
Study 1A: We perform a longitudinal study in 150 patients with new-onset IBD (UC and CD) over
18 months to identify risk factors related to the brain-gut axis for the development of
chronic pain.
First assessment period: On the first day of the study, we will have a video chat with the
participant using one of the telecommunications applications (e.g. skype, zoom, Microsoft
team, etc.) and obtain an electric consent form using DocuSign (https://www.docusign.co.uk/).
Then, participants will be trained on how to use online validated questionnaires to evaluate
their disease activity, symptoms and psychological state, presence or absence of irritable
bowel syndrome (IBS), or pain elsewhere. Then, they will be asked to download a mobile phone
camera heart rate variability app and be trained to use it. They will also be trained to use
the experience sampling method (ESM) to profile gut symptoms and lifestyle via a smartphone
app at 10 random times in a day.
After training, participants will fill out baseline online questionnaires using REDCap.
Participants will also start answering questionnaires by ESM for 7 days and recording their
heart rate (5 minutes) using the app once a day in the morning for 7 days.
2nd-4th assessment periods: Further assessment periods will be scheduled every 6 months.
One-two days before each study period begins, we will remind the participants by email or
phone call. On day 1, participants fill out the same online questionnaires (except
personality, which is a stable trait) followed by 7 days ESM profiling as during their first
assessment period. They will also be asked to record heart rate (5 minutes) once a day in the
morning for 7days. Each patient will be followed at least 18 months until the 4th assessment
period ends.
If patients agree, we will add online questionnaires to patients beyond the life of the grant
(at 24 months and 36 months) when they are followed by the IBD BioResource inception study.
(ESM and sample collection are not performed after 18 months follow)
This is a collaborative study with the IBD BioResource Inception study. The participants in
our study will be asked to participate in the IBD BioResource Inception study as well.
Biological data obtained by the BioResource Inception study, which will be used for the
analysis.
Study 1B: This is also a collaborative study with the Inception study. Data for 600 patients
will still need to be collected by the Inception study when our study starts. We will apply
for our detailed questionnaires for 7 days (as per study 1A) to be administered to all the
new patients that are included in the Inception study on a voluntary basis. This will allow
us to capture data on almost 600 patients (150 of these will be from study 1A).
Using both our 150 studied patients from study1A and 450 patients in the Inception cohort
(study 1B), we will then use cutting edge techniques in machine learning to ascertain if
artificial intelligence (AI) can predict individuals who will develop chronic abdominal pain.
Study 2 and 3: Study 2 and 3 are a questionnaire-based cross-sectional study in patients with
IBD (both CD and UC patients). The participants for study 2 are patients who are registered
in IBD BOOST study and those for study 3 are patients who are registered in IBD BioResource
(but not in IBD Boost study).
The aims are to determine the prevalence of chronic pain in Crohn's and UC patients, the
prevalence of comorbid pain and IBS, lifestyle factors, and quality of life. IBD BOOST
questionnaire is due to be administered to 10,000 patients. We will invite these patients to
complete additional questionnaires not covered by IBD BOOST. We also approach 15,000 patients
from IBD BioResourse who are not included in the IBD Boost study and administer
questionnaires to them. We will be able to identify risk factors and aid a predictive model
from static time point data if a number of those individuals have pain and a number do not.
Further, in study 2 and 3, we will be able to determine whether the risk factors identified
in study 1A and 1B accurately identify patients with and without chronic pain.