What question did this study set out to answer?

The research aims to develop a serum proteomics-based risk score to predict the disease course in newly diagnosed ulcerative colitis patients.

OP08A protein signature for prediction of disease course in newly diagnosed Ulcerative Colitis

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Cohort study develops and validates a risk score for disease course in ulcerative colitis, suggesting clinical utility.

The research aims to develop a serum proteomics-based risk score to predict the disease course in newly diagnosed ulcerative colitis patients.
Analyzed serum protein levels in patients from three inception cohorts.
Developed a risk score using machine learning based on 178 measured proteins.
Validated the risk score in two external cohorts using Cox regression to assess its predictive capacity.
Identified 59 proteins associated with aggressive disease course.
Machine learning model achieved an AUC of 0.81 in the discovery cohort.
The risk score significantly predicted the need for targeted therapies with a hazard ratio of 4.26.

Grännö et al. (2026) studied this question.

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