کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7664299 | 1495132 | 2007 | 4 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Validation d'une nouvelle méthode de dosage du tacrolimus en vue de son adaptation posologique: comparaison des résultats sur automate RXL Dimension avec ceux obtenus sur Cobas-Mira
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
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چکیده انگلیسی
A new method to adapt tacrolimus posology in renal transplant patients Tacrolimus (FK506) is an immunosuppressive drug with a narrow therapeutic index used in renal transplant patients among whom there is a significant correlation between effectiveness/side effects and residual blood concentrations. This correlation allows patients to increase or decrease their oral dose. However, to adapt the posology, the analysis method needs to be sensitive, specific, exact, precise and particularly rapid. The objective of our work was to validate a new method (Anti-body Conjugated Magnetic Immunoassay, ACMIA) on automat RXL Dimension (Dade-Berhing) for whole blood tacrolimus monitoring and to compare with the method usually used in medical analysis laboratories (Enzyme Multiplied Immunoassay method, EMIT). Our results show an accuracy and a precision of both repeatability and reproductibility lower than 15%. A strong correlation was found (y = 0.9373 x - 1.4429 r = 0.9533) with the results obtained on Cobas-Mira when testing drug monitoring samples in actual conditions. This new method represents a reliable alternative of EMIT, given its cost effectiveness and the absence of handling errors, for adopting it for the routine determination of blood tacrolimus concentrations in renal transplant patients.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Revue Francophone des Laboratoires - Volume 2007, Issue 397, December 2007, Pages 79-82
Journal: Revue Francophone des Laboratoires - Volume 2007, Issue 397, December 2007, Pages 79-82
نویسندگان
Nathalie Dagher, Peggy Gandia, Jean-Olivier Castex, Michel Lavit, Georges Houin,