Cure8 research brief
A validated claims-based algorithm could enable larger, more efficient studies of fibrostenosis in Crohn’s disease using real-world data — helping researchers and clinicians better measure how often stricturing complications occur and their healthcare impact.
Researchers using administrative claims or real-world data, clinicians interested in Crohn’s complications (fibrostenosis/strictures), health services researchers, and patients interested in outcomes research on stricturing disease.
This paper reports development and chart-validated testing of a claims-based algorithm to identify Crohn’s disease–related fibrostenosis (fsCD) in a large US administrative database.
The algorithm combined a claims definition for CD-related intestinal obstruction and a regression-derived probability score, then was validated against medical-chart abstraction in a 600-patient sample.
The authors report that applied to the full algorithm-development cohort (n = 18,609) the method produced weighted positive predictive value ~72%, negative predictive value ~92%, sensitivity ~70%, and specificity ~93%.
The study is presented as a tool intended to enable scalable, real-world research on the epidemiology, outcomes, and healthcare burden of fsCD. The article is open-access and includes a plain-language summary and graphical abstract; Cure8 did not re-analyze the underlying data and is summarizing the authors’ reported methods and validation results.
This is an observational methods-validation study using US administrative claims and medical-chart review for validation. The reported performance metrics are those the authors calculated for their algorithm and reflect its performance in their datasets and validation sample; results may vary in other populations or coding systems.
Review the original publication for the complete reporting, methods, and context.
Funding disclosed by the source: Boehringer Ingelheim
This Cure8 brief is based on source text from the linked article. Cure8 is informational only and is not a substitute for professional medical advice, diagnosis, or treatment.
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