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Published on: March 10, 2015
A Longitudinal Disease Progression Model Characterizing Endoscopic Response and Remission in Crohn's Disease
Anita Moein1, Jurgen Langenhorst2, Nastya Kassir3
1Genentech, Inc, South San Francisco, CA, USA. moein.anita@gene.com.
A new model accurately predicts Crohn's disease (CD) endoscopic response and remission by quantifying placebo effects. This approach helps isolate drug efficacy in clinical trials for inflammatory bowel disease.
Area of Science:
- Gastroenterology and Clinical Trials
- Biostatistics and Psychometrics
- Pharmacometrics and Drug Development
Background:
- Crohn's disease (CD) is a complex inflammatory bowel disease where placebo effects significantly impact therapeutic efficacy assessments.
- Accurate modeling of placebo response is crucial for designing efficient clinical trials and interpreting drug effects in CD.
Purpose of the Study:
- To develop and validate a placebo-based disease model for Crohn's disease using item-level response theory (IRT) and full random effects models (FREM).
- To characterize longitudinal placebo trajectories and predict endoscopic response and remission in CD patients.
- To identify covariates influencing placebo response in CD clinical trials.
Main Methods:
- Longitudinal Simple Endoscopic Score for Crohn's Disease (SES-CD) data from 155 placebo-treated patients in the BERGAMOT trial were analyzed.
- An item-level bounded integer (IRT-BI) model was applied to SES-CD subscores, linked via a latent variable for placebo trajectory modeling.
- Predictive accuracy for endoscopic response and remission was assessed; covariate analysis identified influencing factors.
Main Results:
- The IRT-BI model accurately characterized SES-CD subscore trajectories and predicted individual patient endoscopic response ( >89%) and remission ( >85%).
- Visual predictive checks confirmed model fit across all 20 SES-CD subscores over 66 weeks.
- Key covariates influencing placebo response included baseline C-reactive protein, fecal calprotectin, and TNF-naïve status.
Conclusions:
- This integrated IRT-BI-FREM approach provides a robust framework for characterizing placebo response in Crohn's disease.
- The model enables quantitative isolation of drug effects from placebo response, supporting FDA model-informed drug development.
- This methodology facilitates more efficient, targeted, and informative clinical trials for inflammatory bowel disease therapies.
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