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Updated: Apr 23, 2026

An Adoptive Transfer Model of Rheumatoid Arthritis in Mice
Published on: June 6, 2025
Clinical endpoint sensitivity in rheumatoid arthritis: modeling and simulation
1Division of Pharmacometrics, Office of Clinical Pharmacology, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
This study evaluated Rheumatoid Arthritis (RA) clinical trial endpoints. ACR20 and DAS28 showed less power for dose comparison but were effective against placebo/Methotrexate (MTX) control, aiding future RA trial designs.
Area of Science:
- Rheumatology
- Clinical Trial Design
- Pharmacometrics
Background:
- Rheumatoid Arthritis (RA) clinical trials commonly use American College of Rheumatology (ACR) response rates (ACR20, ACR50, ACR70) and Disease Activity Score 28-joint count (DAS28) as efficacy endpoints.
- Understanding the discriminative power of these endpoints is crucial for optimizing clinical trial design and evaluating treatment efficacy.
Purpose of the Study:
- To develop longitudinal exposure-response models for ACR and DAS28 endpoints for four biologics used in RA management.
- To simulate clinical outcomes under various treatment regimens and assess the discriminative sensitivity of efficacy endpoints.
Main Methods:
- Longitudinal modeling was used to quantify exposure-response relationships for ACR and DAS28.
- Clinical trial simulations were performed to evaluate endpoint performance.
- Power analysis was conducted to assess the discriminative sensitivity of ACR20 and DAS28.
Main Results:
- Both ACR20 and DAS28 demonstrated lower power in distinguishing between two doses compared to differentiating treatment effects over placebo/Methotrexate (MTX) control.
- The ACR20 response rate generally showed higher power than DAS28 in detecting treatment effects against placebo/MTX control.
Conclusions:
- ACR20 and DAS28 have different strengths in detecting treatment effects in RA clinical trials.
- Findings provide valuable insights for designing future RA clinical trials to improve endpoint selection and statistical power.
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