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Toward Analytical Performance Specifications for Immunosuppressive Drug Quantification in Transplantation: An Opinion
Maria Shipkova1, Eberhard Wieland1, Ekkerhard Schütz2
1Bioscientia Institut für Medizinische Diagnostik, Ingelheim, Germany; and.
Therapeutic Drug Monitoring
|October 2, 2024
Summary
Four methods for setting permissible analytical imprecision goals (pCVA%) for immunosuppressant drugs yielded similar results. A target of <6% is adequate and realistic for clinical drug monitoring using modern analytical technologies.
Area of Science:
- Clinical Chemistry
- Pharmacology
- Analytical Science
Background:
- Analytical method performance is critical for clinical needs in drug monitoring.
- Establishing permissible analytical imprecision goals (pCVA%) is essential for reliable drug analysis.
- Various approaches exist for setting pCVA%, necessitating a comparative evaluation.
Purpose of the Study:
- To calculate pCVA% for key immunosuppressant drugs using four distinct methodologies.
- To compare the outcomes of these different approaches for setting analytical goals.
- To critically discuss the advantages and disadvantages of each evaluated model.
Main Methods:
- Four approaches were used: biological variation, drug elimination half-life/dosing interval, and two therapeutic range (TR)-based methods.
- Routine measurement data from 2022-2023 were analyzed for biological variation.
- Liquid chromatography-tandem mass spectrometry and electrochemiluminescence immunoassays were employed for specific drug analyses.
Main Results:
- All four approaches produced comparable pCVA% values for the studied drugs.
- Average pCVA% ranged from 4.8% (sirolimus) to 7.7% (mycophenolic acid).
- TR-based approaches presented the most challenging goals, while biological variation was most achievable; longer half-life drugs required more stringent goals.
Conclusions:
- No single ideal method exists for setting drug analysis goals.
- The calculated pCVA% values support a <6% target as adequate and realistic for modern drug monitoring.
- TR-based approaches are preferred for their clinical relevance and integration of biological and analytical factors.
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