Computer-guided concentration-controlled trials in autoimmune disorders.
Publication/Presentation Date
12-1-1993
Abstract
A randomized concentration-controlled clinical trial (RCCCT) is an alternate experimental design to the standard dose-controlled study. In a RCCCT, patients are randomly assigned to predefined plasma or blood drug concentration ranges (low, medium, and high). With the caveat that concentration ranges are sufficiently separated, this design should enhance the ability to discover important concentration response relationships. FK-506, a potent and promising immunosuppressive agent for prevention and treatment of graft rejection, has shown significant clinical activity in some immune-mediated disorders. To implement the RCCCT design, a novel FK-506 intelligent dosing system (IDS) was used to guide all doses to prospectively achieve the target concentration range specific in the study protocol. Patients enrolled in these trials suffered from a variety of autoimmune disorders, including multiple sclerosis, primary biliary cirrhosis, psoriasis, autoimmune chronic active hepatitis, and nephrotic syndrome. We observed excellent predictive performance of the IDS for all patients. The accuracy (mean prediction error) of the IDS was -0.022 ng/ml and the precision (standard deviation of the prediction error) was 0.119 ng/ml. Thus, the IDS is both accurate and reproducible for autoimmune patients. We conclude that the RCCCT design, guided by an accurate and precise IDS, is an informative and cost-effective approach for evaluation of efficacy and safety of effective but highly toxic agents.
Volume
15
Issue
6
First Page
510
Last Page
513
ISSN
0163-4356
Published In/Presented At
McMichael, J., Lieberman, R., Doyle, H., McCauley, J., van Thiel, D., Thomson, A., Fung, J., & Starzl, T. E. (1993). Computer-guided concentration-controlled trials in autoimmune disorders. Therapeutic drug monitoring, 15(6), 510–513. https://doi.org/10.1097/00007691-199312000-00010
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
7510078
Department(s)
Administration and Leadership
Document Type
Article