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Comparison of PETINIA and LC-MS/MS for determining plasma mycophenolic acid concentrations in Japanese lung transplant recipients

BACKGROUND: Mycophenolic acid (MPA) treatment requires therapeutic drug monitoring to improve the outcome after organ transplantation. The aim of this study was to compare two methods, a particle enhanced turbidimetric inhibition immunoassay (PETINIA) and a reference liquid chromatography tandem mas...

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Detalles Bibliográficos
Autores principales: Kikuchi, Masafumi, Tanaka, Masaki, Takasaki, Shinya, Takahashi, Akiko, Akiba, Miki, Matsuda, Yasushi, Noda, Masafumi, Hisamichi, Kanehiko, Yamaguchi, Hiroaki, Okada, Yoshinori, Mano, Nariyasu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879875/
https://www.ncbi.nlm.nih.gov/pubmed/29619240
http://dx.doi.org/10.1186/s40780-018-0101-7
Descripción
Sumario:BACKGROUND: Mycophenolic acid (MPA) treatment requires therapeutic drug monitoring to improve the outcome after organ transplantation. The aim of this study was to compare two methods, a particle enhanced turbidimetric inhibition immunoassay (PETINIA) and a reference liquid chromatography tandem mass spectrometry (LC-MS/MS) for determining plasma MPA concentrations from Japanese lung transplant recipients. METHODS: Plasma MPA concentrations were determined from 20 Japanese lung transplant recipients using LC-MS/MS and the PETINIA on the Dimension Xpand Plus-HM analyzer. RESULTS: The mean MPA concentration measured by PETINIA was significantly higher than that measured by LC-MS/MS (3.26 ± 2.73 μg/mL versus 2.82 ± 2.71 μg/mL, P < 0.0001). The result of the Passing Bablok analysis was a slope of 1.104 (95% confidence interval [CI], 1.036–1.150) and an intercept of 0.229 (95%CI, 0.144–0.315). Bland–Altman analysis revealed PETINIA overestimates plasma MPA concentration by 26.25% and 95%CI from 21.43 to 31.07%. CONCLUSION: The measurement of MPA by the PETINIA in Japanese lung transplant patients should evaluate the result with attention to positive bias.