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Estimation of Abbreviated Cyclosporine A Area under the Concentration-Time Curve in Allogenic Stem Cell Transplantation after Oral Administration

Measurements of Cyclosporine (CsA) systemic exposure permit its dose adjustment in allogenic stem cell transplantation recipients to prevent graft-versus-host disease. CsA LSSs were developed and validated from 60 ASCT patients via multiple linear regressions. All whole-blood samples were analyzed b...

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Detalles Bibliográficos
Autores principales: ELjebari, Hanene, Ben Fradj, Nadia, Salouage, Issam, Gaies, Emna, Trabelsi, Sameh, Jebabli, Nadia, Lakhal, Mohamed, Ben Othman, Tarek, Kouz, Anis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3205663/
https://www.ncbi.nlm.nih.gov/pubmed/22132303
http://dx.doi.org/10.1155/2012/342701
Descripción
Sumario:Measurements of Cyclosporine (CsA) systemic exposure permit its dose adjustment in allogenic stem cell transplantation recipients to prevent graft-versus-host disease. CsA LSSs were developed and validated from 60 ASCT patients via multiple linear regressions. All whole-blood samples were analyzed by fluorescence polarization immunoassay (FPIA-Axym). The 10 models that have used CsA concentrations at a single time point did not have a good fit with AUC(0–12) (R(2) < 0.90). C (2) and C (4) were the time points that correlated best with AUC(0–12 h), R(2) were respectively 0.848, and 0.897. The LSS equation with the best predictive performance (bias, precision and number of samples) utilized three sampling concentrations was AUC(0–12 h) = 0.607 + 1.569 × C (0.5) + 2.098 × C (2) + 3.603 × C (4) (R(2) = 0.943). Optimal LSSs equations which limited to those utilizing three timed concentrations taken within 4 hours post-dose developed from ASCT recipient's patients yielded a low bias <5% ranged from 1.27% to 2.68% and good precision <15% ranged from 9.60% and 11.02%. We propose an LSS model with equation AUC(0–12 h) = 0.82 + 2.766 × C (2) + 3.409 × C (4) for a practical reason. Bias and precision for this model are respectively 2.68% and 11.02%.