Predict and Prevent

IBD are heterogeneous and unpredictable diseases. In this project we will develop and assess a predictionmatrix for disease course based on clinical and biochemical disease features at time of diagnosis. 

About the project

Inflammatory bowel disease (IBD), including ulcerative colitis and Crohn´s disease, are chronic disorders that cause inflammation in the gastrointestinal tract. The disease severity and course varies considerably among IBD patients. For the patients, this entails uncertainty and concerns, and for healthcare professionals, it makes decisions regarding treatment choices for each patient challenging.

Treatment

Over the past decades, there has been a change in treatment options with the introduction of biologics and treatment goals from symptom management to inflammation control.


It is essential for early and effective treatment to manage the disease and prevent short- and long-term complications.

Collection of data

In the present project, we are investigating clinical, biochemical, and endoscopic data at baseline and at one-year follow-up in newly diagnosed adult IBD patients. In this unselected IBD population, we will describe the early disease course, investigate treatment options, and look at risk factors that can predict disease outcomes and treatment effects.

Aim of research

The overarching aim of this project is to develop a prediction matrix to identify IBD patients at risk of an unfavorable disease outcome.


By identifying these patients, treatment can be optimized early and the risk of complications can be reduced.

 

Published Mar. 6, 2024 2:55 PM - Last modified Mar. 6, 2024 2:55 PM