NORDTREAT Prospective Study on Inflammatory Bowel Disease

June 9, 2022 updated by: University of Southern Denmark

The Nordic IBD Study Within Personalized Medicine - Diagnosing and Prediction Using Molecular Characterization of Inflammatory Bowel Disease: the NORDTREAT Prospective Cohort Study

Inflammatory bowel disease (IBD), primarily ulcerative colitis (UC) and Crohn's disease (CD), is a chronic disease entity affecting individuals of all ages, and which may severely impact the lives of the patients and their families as well as society. Individuals with IBD may have to live with relapsing symptoms, such as diarrhea, abdominal pain, and fatigue. Further, a substantial proportion of patients develop serious complications such as bowel obstruction and fistula, and some develop complicating liver disease and eventually colorectal cancer. The consequences are that many patients suffer hospitalizations, recurring sick-leave, life-long medication, and surgical interventions. As IBD has become increasingly common in Western populations there is a clear need to improve the outcome from IBD.

IBD is a heterogeneous disease entity with substantial differences between patients and personalized medicine may help provide strategies for better treatment . Currently, one of the main unmet needs is the glaring lack of robust biomarkers for individual disease characterization. This lack leads to delayed diagnosis, worse outcomes, increased mortality and an amplified disease burden. Furthermore, diagnosis of IBD is difficult and early diagnosis is crucial as it helps avoid the development of irreversible organ damage. Therefore, there is an emerging focus on the development of simple, non-invasive, and cheap biomarkers to support clinical decision-making in IBD.

This Nordic, prospective, clinical study has the aim of identifying markers that are associated with the diagnosis of IBD and prediction of clinical outcomes with various disease manifestations. Importantly, this study will evaluate the markers in a relevant clinical setting, i.e. among patients referred to the hospital for suspicion on IBD using the ECCO Criteria.

Specifically the aims of the study are to:

  • Improve the accuracy to diagnose IBD
  • Improve the accuracy to define the prognosis of IBD

The study is approved by the local Ethics Committee (S-20200051) and the local Data Agency (20/54594).

Study Overview

Detailed Description

The primary aim is to identify molecular markers (e.g. in the blood and stools) for discrimination between individuals diagnosed with inflammatory bowel disease (IBD) inclusive Crohn's disease (CD), ulcerative colitis (UC) and inflammatory bowel disease unclassified (IBD-U), and those without (non-IBD). Participants with suspected IBD at baseline, with various disease pathways, will be evaluated again using a 1-year cohort study. Diagnosis and clinical outcome will be evaluated at referral and after 1 year of observation.

The secondary aims are, in addition to the molecular information, to investigate whether the inclusion of information on clinical and lifestyle factors as well as combination hereof (e.g. gene-environment interaction analyses) can improve the predictive potential of identifying IBD and distinguish the prognosis.

Study design: A prospective Nordic multicenter study on prognostic factors for the diagnosis and characterization of IBD among patients referred to the hospital on suspicion of IBD. A panel of possible prognostic biomarkers for diagnostic purposes will be applied to all participants.

Setting: All patients referred due to a suspicion of IBD to the departments of gastroenterology in Odense University Hospital, Svendborg Hospital, Vejle Hospital, Esbjerg Hospital and potentially Hospital of Southern Jutland, Aabenraa will be invited to take part in the study. Participants will be included from January 2022 for a 1-year period or until 800 participants in the Nordic study (up to 400 in Denmark) have been included. The follow-up period is one-year including visits and questionnaires and an additional nine years of follow-up by the use of register data. Biological material will be obtained four times for participants with IBD, at week-2/0, and 12, 26 and 52 after the diagnosis has been established. Participants where IBD is not established (non-IBD) will only have biological material obtained at baseline (that is visit -2/0) and will have a clinical interview after 52 weeks. All participants are treated according to standard clinical practice by the clinical departments.

Clinical data consist of personal data, data on health and disease, lifestyle, laboratory measures, and disease activity scores including patient-reported outcome measures (PROMs), clinical assessments, and laboratory data. Each participant will fill out validated questionnaires on disease activity, quality of life, and lifestyle using electronic links.

Data management: Study data registered by clinicians, study nurses and technicians will be stored in the web-based case report form (eCRF) Viedoc (Viedoc™, Uppsala, Sweden) or REDCap (Open Patient data Explorative Network (OPEN) at Odense University Hospital) for the diet questionnaire. The questionnaires are in Danish and the participants will have access to the questionnaires via an electronic link sent to their personal, electronic mailbox (REDCap) or via an investigator provided link to MyViedoc. All data will be stored in secure research storage facilities.

Statistical methods: We will develop multivariable prediction models relating multiple predictors for a particular individual to the probability of or risk for the presence (diagnosis of IBD at baseline) or future occurrence (prognosis) of a particular outcome such as severe IBD within the first year. Predictors such as biomarkers are covariates, explored as prognostic factors (independent variables).

The primary hypothesis is that the final biomarker will define the participant population into two groups each consisting of 50%: a biomarker positive group whereof 80% will be diagnosed with IBD and a biomarker negative group whereof 20% will be diagnosed with IBD.

For a comparison of two independent binomial proportions using the likelihood ratio statistic with a Chi-square approximation with a two-sided significance level of 0.05, a total sample size of 800 assuming a ratio biomarker positivity-to-negativity of 1 to 1 has an approximate power of 100% when the proportions of being diagnosed with IBD are 0.8 and 0.2. If we assume that we will have 800 study participants, we will potentially ("rule of thumb") be able to build a statistical model with as many as 80 covariates in the multivariable model.

The associations of the suspected important biomarkers with other variables will be tested with non-parametric tests: with Spearman rank correlation (rs) for continuous variables, and the Wilcoxon rank-sum test or Kruskal-Wallis test, including a Wilcoxon-type test for trend across ordered groups where appropriate, for categorical variables. In general, logistic regression models will be used with individual marker as the exposure variables and the clinical response as the outcome (dependent variable). The analyses will be adjusted simultaneously for sex, age, and prescribed targeted therapy. Potential interaction between biomarker status (positive/negative) and specific drug type will be analyzed. Covariates (biomarkers) consist of various measures within genetics, transcriptomic, microbiomes, and proteomics.

Sample size considerations: Assuming that biomarker positivity constitutes 50% of the individuals enrolled at baseline, if our event rate is 10% on average, a total sample size of 800 patients (i.e. 400 biomarker positive) we will have a very good statistical power (99.7%) to detect a difference between proportions having surgery of 10% points (15% and 5%, respectively). If we decide to split the data set into two (2×400 individuals), in order to first build the model, and subsequently validate it in the second independent dataset, we will have 91.8% statistical power to detect a difference between groups. If the prognostic value of our biomarkers is not that effective separating the number of patients with severe IBD at week 52, we will still have more than 90% power to detect a difference between biomarker groups of 6% points (e.g. 10% and 4%, respectively).

Another consideration is the number of events (individuals having severe IBD at week 52) per variable (EPV) considered for inclusion in the multivariable model. For logistic regression modelling the EPV should be at least ten times the number of potential prognostic variables that could be included in the model. As a consequence of this logic, our expected sample size of 800 individuals (having 80 events) will, with reasonable confidence, allow us to create a multivariable model with up to 8 covariates simultaneously.

Project organization: NORDTREAT is part of a larger Nordic project (DK, SE, NO and IS) where regular meetings will be held between the partners. Collaborative research and material transfer agreements will be conducted with the national and international collaborators.

In addition to the scientific reporting of results, major findings with translational implications will be communicated to health professionals, patient organizations, public health policy makers, and to the general public through various media and news activities.

Study Type

Observational

Enrollment (Anticipated)

800

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Vibeke Andersen, Professor
  • Phone Number: 0045 2115 7790
  • Email: va@rsyd.dk

Study Locations

      • Aabenraa, Denmark, 6200
        • Not yet recruiting
        • University Hospital of Southern Denmark
        • Contact:
        • Principal Investigator:
          • Atef Kinani, Consultant
      • Esbjerg, Denmark
        • Not yet recruiting
        • SVS Esbjerg Hospital
        • Contact:
        • Principal Investigator:
          • Lene Nyholm Nielsen, Senior registrar
      • Odense, Denmark
        • Recruiting
        • Odense University Hospital
        • Contact:
        • Principal Investigator:
          • Jens Kjeldsen, Professor
        • Sub-Investigator:
          • David Füchtbauer, MD, PhD Fellow
      • Svendborg, Denmark
        • Recruiting
        • OUH Svendborg Hospital
        • Sub-Investigator:
          • David Füchtbauer, MD, PhD Fellow
        • Contact:
        • Principal Investigator:
          • Claus Aalykke, Consultant
      • Vejle, Denmark
        • Recruiting
        • SLB Vejle Hospital
        • Contact:
        • Principal Investigator:
          • Michael Dam Jensen, Consultant, PhD
      • Reykjavík, Iceland, 101
        • Recruiting
        • Landspitali
        • Contact:
          • Loa Davidsdottir
      • Drammen, Norway, 3004
        • Recruiting
        • Vestre Viken HF
        • Contact:
          • Svein Frigstad
      • Grålum, Norway, 1714
        • Recruiting
        • Østfold Kalnes
        • Contact:
          • Henrik Wahlberg
      • Oslo, Norway, 0424
        • Recruiting
        • Oslo Universitetssykehus
        • Contact:
          • Asle Medhus
      • Skien, Norway, 3710
        • Recruiting
        • Sykehuset i Telemark
        • Contact:
          • Gert Huppertz Hauss
      • Tønsberg, Norway, 3103
        • Recruiting
        • Sykehuset i Vestfold
        • Contact:
          • Tone Bergene Aabrekk
      • Stockholm, Sweden, 11691
        • Recruiting
        • Ersta sjukhus
        • Contact:
          • Adam Carstens
    • Region Jönköpings Län
      • Eksjö, Region Jönköpings Län, Sweden, 57581
        • Recruiting
        • Höglandssjukhuset Eksjö
        • Contact:
          • Martin Rejler
    • Region Stockholm
      • Stockholm, Region Stockholm, Sweden, 17176
        • Recruiting
        • Karolinska Universitetssjukhuset
        • Contact:
          • Charlotte Hedin
    • Region Uppsala
      • Uppsala, Region Uppsala, Sweden, 75185
        • Recruiting
        • Akademiska sjukhuset Uppsala
        • Contact:
          • Marie Carlson
    • Region Östergötland
      • Linköping, Region Östergötland, Sweden, 58185
        • Recruiting
        • Universitetssjukhuset i Linköping
        • Contact:
          • Henrik Hjortswang
    • Örebro Län
      • Örebro, Örebro Län, Sweden, 70185
        • Recruiting
        • Universitetssjukhuset Örebro
        • Contact:
          • Jonas Halfvarson

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients referred to the hospital on suspicion of IBD

Description

To be included in the study, the participants must meet the following criteria:

Inclusion Criteria:

  • Referred on the suspicion of inflammatory bowel disease
  • Adult (+18 years of age)
  • Written informed consent to participate in the study

Exclusion Criteria:

  • A previous known diagnosis of Crohn's disease, ulcerative colitis or IBD-U
  • Unable to provide informed consent
  • Unable to comply with protocol requirements (e.g., for reasons including alcohol and/or recreational drug abuse)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Improving the accuracy to diagnose IBD
Time Frame: Baseline (Week 0) and Week 52
The primary endpoint in the cross-sectional study will be diagnosis, i.e., IBD (including CD, UC, IBD-U) or non-IBD (patients that are not diagnosed with IBD) at referral. IBD is diagnosed according to the ECCO criteria based on endoscopic, histologic and/or radiological criteria.
Baseline (Week 0) and Week 52
Improving the accuracy to define prognosis of IBD
Time Frame: Week 52

The primary endpoint in the longitudinal cohort study will be severe IBD at week 52 defined as:

  • IBD-related surgery or
  • IBD-related hospitalization (except planned procedures) or
  • IBD-related death
Week 52

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Lack of corticosteroid-free clinical remission at week 12*
Time Frame: Week 12

● Clinical remission, CD: Patient reported outcome 2 (abdominal pain ≤ 1 and stool frequency ≤ 3) or Harvey Bradshaw Index < 5

● Clinical remission, UC: Patient reported outcome 2 (rectal bleeding = 0 and stool frequency = 0) or Partial Mayo (< 3 and no score >1)

*Both local acting systemic administered (budesonide) and systemic steroids (prednisolon)

Week 12
Lack of corticosteroid-free endoscopic healing at week 52*
Time Frame: Week 52

● Endoscopic healing, CD: Simple endoscopic score in CD < 3 points or absence of ulcerations (e.g. SES-CD ulceration subscores = 0)

● Endoscopic healing, UC: Mayo endoscopic subscore = 0 points, or UC endoscopic index of severity ≤ 1 points

*Both local acting systemic administered (budesonide) and systemic steroids (prednisolon)

Week 52
Disease impact on patients life (daily functioning and quality of life)
Time Frame: Week 52

● The Inflammatory Bowel Disease Questionnaire (with a scale from 1-7); where

1 is eg. "All of the time" and 7 is "At no time" or 1 is "No energy" and 7 is "Full of energy"

Week 52
Disease impact on patients life (perception of health)
Time Frame: Week 52
● Short Form 36 is an 11-item questionnaire on the patient's perception of his/her health (with scales from 1-3, 1-5, 1-6 or yes / no) where e.g. 1 denotes "Excellent" and 5 denotes "Bad" or 1 denotes "No pain" and 6 denotes "Very strong pain".
Week 52
Disease impact on patients life
Time Frame: Week 52

● The 14-item version of the IBD Disability Index (modified to be suitable as a self-report) is a questionnaire on IBD and perception of health. The scales range from eg.:

  • Very good / Good / Moderate / Bad / Very bad
  • Yes / No
  • None / Mild / Moderate / Severe / Extreme
Week 52
Disease impact on patients life (fecal incontinence)
Time Frame: Week 52
● Fecal incontinence according to the Wexner score (with a scale from 0-20); where 0 is perfect continence and 20 is complete incontinence.
Week 52
Mid-term complications
Time Frame: Week 52
  • Bowel damage in CD according to the Lémann index
  • IBD-related surgery and hospitalizations defined as:

    • Surgery, UC: any colectomy
    • Surgery, CD: any CD-related surgery
    • Hospitalizations: A composite endpoint combining the total number of IBD-related hospitalizations (including readmissions), and the cumulative length of hospital stay.
    • Disease extension in UC: focus on macroscopic proximal disease extension
Week 52
Long-term complications
Time Frame: Week 52
  • Gastrointestinal and extra-intestinal dysplasia
  • Cancer
  • Mortality
Week 52
Surgery in CD due to obstructive symptoms (stenosis)
Time Frame: Week 52
Cumulative number of surgeries in CD due to stenosis
Week 52
Anxiety and depression
Time Frame: Week 52
Hospital Anxiety and Depression Scale (HADS) is a 14-item scale with seven items each for anxiety and depression subscales. Scoring ranges from 0 to 3 and a score above 8 denotes anxiety or depression respectively.
Week 52
Fatigue Questionnaire
Time Frame: Week 52
The Inflammatory Bowel Disease-Fatigue (IBD-F) Part One is a 5-item scale where scoring ranges from 0 to 4. Zero denotes no fatigue and 4 denotes extreme fatigue.
Week 52
Flares
Time Frame: Week 52
Cumulative number of flares at 1 year
Week 52
Glucocorticoid exposures
Time Frame: Week 52
Cumulative glucocorticoid exposures at 1 year
Week 52
Adverse drug reactions
Time Frame: Week 52
Cumulative number of adverse drug reactions
Week 52
Increased faecal calprotectin at week 52
Time Frame: Week 52
Increased faecal calprotectin is defined as cumulative number of patients with a concentration of faecal calprotectin higher than 250 μg/g
Week 52
Time to start of biological therapy
Time Frame: Week 52
Cumulative number of days before start of biological therapy
Week 52
Time to onset of event (IBD-related surgery or IBD-related hospitalization)
Time Frame: Week 52
Cumulative number of days before onset of IBD-related surgery or IBD-related hospitalization
Week 52
The composite secondary outcome of the proportion of patients who experience severe IBD within 52 weeks after inclusion
Time Frame: Week 52

Cumulative number of patients who experience:

  • Need for medication between diagnosis and one year (immunomodulators, biologicals, steroids) or
  • Need for surgery between diagnosis and one year or
  • Need for hospitalization between diagnosis and one year or
  • Number of relapses between diagnosis and one year.
Week 52

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Jens Kjeldsen, Professor, Odense University Hospital
  • Principal Investigator: Vibeke Andersen, Professor, University Hospital of Southern Denmark, Aabenraa

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 7, 2022

Primary Completion (Anticipated)

January 1, 2024

Study Completion (Anticipated)

January 1, 2031

Study Registration Dates

First Submitted

April 28, 2022

First Submitted That Met QC Criteria

June 9, 2022

First Posted (Actual)

June 10, 2022

Study Record Updates

Last Update Posted (Actual)

June 10, 2022

Last Update Submitted That Met QC Criteria

June 9, 2022

Last Verified

June 1, 2022

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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