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Can we develop simple response criteria for slow acting antirheumatic drugs?
D L Scott1, J E Dacre, A Greenwood
1Department of Rheumatology, St Bartholomew's Hospital, London.
Annals of the Rheumatic Diseases
|March 1, 1990
Summary
A new response index simplifies assessing antirheumatic drug effectiveness. This unified classification uses erythrocyte sedimentation rate, articular index, morning stiffness, and joint pain reduction for better clinical practice and drug studies.
Area of Science:
- Rheumatology and Pharmacology
- Clinical Trial Methodology
Background:
- Conventional assessment of antirheumatic drug response involves multiple, separately analyzed clinical and laboratory measures.
- A unified classification is preferable for clinical practice and therapeutic trials, utilizing sensitive and simple measures.
Purpose of the Study:
- To determine the practicality of a single, unified classification for assessing response to slow-acting antirheumatic drugs (SAARDs).
- To evaluate a novel response index based on sensitive clinical and laboratory measures.
Main Methods:
- Prospective study of two patient cohorts (n=145 penicillamine, n=98 sulphasalazine) followed for 12 months.
- Evaluation of 11 clinical and laboratory measures every 3-6 months.
- Development of a five-point (0-4) response index using erythrocyte sedimentation rate, articular index, morning stiffness, and joint pain reduction.
Main Results:
- Most significant changes in patient response occurred by six months, indicating this as the optimal time for classification.
- The developed response index, based on four key measures, demonstrated similar results for both penicillamine and sulphasalazine.
- The proposed index is simple, appropriate, and suitable for clinical practice and drug studies.
Conclusions:
- A unified response index simplifies the assessment of SAARDs.
- The proposed index, utilizing erythrocyte sedimentation rate, articular index, morning stiffness, and joint pain, is practical and effective.
- Further determination of optimal thresholds for each variable is needed to refine the index.