Researchers developed a new integrative model called GEM-IRS to predict the future risk of Crohn’s disease in healthy first-degree relatives of patients with CD. The model integrates demographic, biomarker, and fecal microbiome data, achieving a C-index of 0.79 in the validation cohort. This model could help improve early disease detection and stratify healthy first-degree relatives based on their risk for developing CD. The results suggest potential therapeutic targets to reduce the risk of developing CD and may lead to the design of prevention studies targeting those at higher risk. Further research is needed to improve predictive performance and define the preclinical stages of CD.
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Integrative risk model may predict Crohn’s development in healthy at-risk individuals
