Identifying biomarkers for predicting complications after surgery in inflammatory bowel disease

Spatially and Temporally Resolving Predictive Biomarkers of Postoperative Recurrence and Complications in Chronic Intestinal Inflammation

Observational IRCCS Ospedale San Raffaele · NCT06516341

This study is trying to find specific markers in patients with inflammatory bowel disease after surgery to see if they can help predict complications and the chance of the disease coming back.

Quick facts

Study typeObservational
Enrollment35 (estimated)
Ages18 Years to 69 Years
SexAll
SponsorIRCCS Ospedale San Raffaele Academic / other
Locations1 site (Milan, Italy)
Trial IDNCT06516341 on ClinicalTrials.gov

What this trial studies

This observational study focuses on patients with inflammatory bowel disease (IBD) who require surgical intervention due to inadequate response to existing therapies. The researchers aim to identify and validate specific biomarkers that may remain in the resection margins after surgery, which could indicate the risk of postoperative complications and disease recurrence. By utilizing humanized experimental models and machine learning, the study seeks to develop a predictive model for these risks, although it will not alter clinical decision-making. Patients will continue to receive standard care while being monitored throughout the study.

Who should consider this trial

Good fit: Ideal candidates include adults over 18 years with histologically confirmed Crohn's disease or ulcerative colitis undergoing intestinal resection due to stricturing disease.

Not a fit: Patients under 18 or over 70 years, those with unconfirmed diagnoses, or those with concurrent dysplasia or cancer may not benefit from this study.

Why it matters

Potential benefit: If successful, this study could lead to improved prediction of postoperative complications in IBD patients, potentially enhancing patient management and outcomes.

How similar studies have performed: While the approach of using machine learning for predictive modeling in IBD is innovative, similar studies have shown promise in identifying risk factors for postoperative complications in other contexts.

Eligibility criteria

Show full inclusion / exclusion criteria
Inclusion Criteria:

* adult (age \>18 years) patients with histologically confirmed CD or UC undergoing intestinal resection due to stricturing disease, regardless of their current or past medical treatment;
* given that it is an observational study, also pregnant and breastfeeding patients could be included;
* able and willing to sign the informed consent.

Exclusion Criteria:

* patients \<18 years or \> 70 years;
* patients with unconfirmed both UC and CD diagnoses;
* patients with superimposed dysplasia or cancer diagnosis and resections for which post- operative endoscopic assessment of recurrence is not feasible;
* patients unable or unwilling to sign the informed consent.

Where this trial is running

Milan, Italy

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions Ulcerative ColitisCrohn DiseaseStenosisPost-operative recurrenceIBDBiomarker predictionStricturing disease
Last reviewed 2026-06-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.