A limited sampling model to estimate the area under the curve of mycophenolic acid in hematopoietic stem cell transplantation recipients

Relationship between the areas under the curve (AUC) of mycophenolic acid (MPA) and the likelihood of rejection is well-established in solid organ transplantation recipients. In hematopoietic stem cell transplantation (HSCT), MPA AUC is also linked to graft versus host disease. This study aimed to develop a simplified method to estimate MPA AUC<sub>0-12</sub> in Chinese patients undergoing allogeneic HSCT (allo-HSCT). Intensive sampling was conducted in 22 patients who were orally administered mycophenolate mofetil. Plasma concentrations of total MPA were measured, and a model predicting AUC<sub>0-12</sub> using data from these 22 patients was constructed through regression analysis. The accuracy of the most suitable model was assessed in an additional 20 patients. None of the individual MPA concentrations showed a strong correlation with AUC<sub>0-12</sub> (r<sup>2</sup> < 0.7). Models utilizing 4 or more concentrations were found to effectively estimate MPA AUC<sub>0-12</sub> (r<sup>2</sup> > 0.87). The most operationally feasible model demonstrated good predictive performance with a mean absolute percentage error (APE%) < 20%. Single MPA concentrations showed poor correlation with MPA AUC<sub>0-12</sub>. A model utilizing 4 oral concentrations (0, 0.5, 1, and 4 h postdose) over a 12-h period could effectively estimate MPA AUC<sub>0-12</sub> with precise results and minimal bias.

Authors

Institutions

Publication Details

Journal
Biopharmaceutics & Drug Disposition
Published
2024-09-26
DOI
https://doi.org/10.1002/bdd.2399
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A limited sampling model to estimate the area under the curve of mycophenolic acid in hematopoietic stem cell transplantation recipients

Xiangjun Fu, Mianhui Hong, Liangmo Lin
Biopharmaceutics & Drug Disposition
Renal Transplantation Outcomes and Treatments
article

A limited sampling model to estimate the area under the curve of mycophenolic acid in hematopoietic stem cell transplantation recipients

Xiangjun Fu, Mianhui Hong, Liangmo Lin
article en

Abstract

Relationship between the areas under the curve (AUC) of mycophenolic acid (MPA) and the likelihood of rejection is well-established in solid organ transplantation recipients. In hematopoietic stem cell transplantation (HSCT), MPA AUC is also linked to graft versus host disease. This study aimed to develop a simplified method to estimate MPA AUC<sub>0-12</sub> in Chinese patients undergoing allogeneic HSCT (allo-HSCT). Intensive sampling was conducted in 22 patients who were orally administered mycophenolate mofetil. Plasma concentrations of total MPA were measured, and a model predicting AUC<sub>0-12</sub> using data from these 22 patients was constructed through regression analysis. The accuracy of the most suitable model was assessed in an additional 20 patients. None of the individual MPA concentrations showed a strong correlation with AUC<sub>0-12</sub> (r<sup>2</sup> < 0.7). Models utilizing 4 or more concentrations were found to effectively estimate MPA AUC<sub>0-12</sub> (r<sup>2</sup> > 0.87). The most operationally feasible model demonstrated good predictive performance with a mean absolute percentage error (APE%) < 20%. Single MPA concentrations showed poor correlation with MPA AUC<sub>0-12</sub>. A model utilizing 4 oral concentrations (0, 0.5, 1, and 4 h postdose) over a 12-h period could effectively estimate MPA AUC<sub>0-12</sub> with precise results and minimal bias.

Biopharmaceutics & Drug DispositionVol. 45(4-6)
Hainan General Hospital (CN), Hainan Medical University (CN)
National Natural Science Foundation of China
No poverty
Openalex Percentile: Top 69%
Renal Transplantation Outcomes and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.