scholarly journals Two-point limited sampling strategy is necessary to estimate the area under the concentration-time curve for intravenous busulfan in infants and young children

Author(s):  
Tomoyuki Utano ◽  
Motohiro Kato ◽  
Kenichi Sakamoto ◽  
Tomoo Osumi ◽  
Kana Matsumoto ◽  
...  

Background: Therapeutic drug monitoring for busulfan is important to prevent adverse events and improve outcomes in stem cell transplantation. We investigated intravenous busulfan pharmacokinetics and evaluated the utility of limited sampling strategy (LSS) as a simple method to estimate the area under the concentration-time curve (AUC). Procedure: The study comprised 87 busulfan measurements in 54 children who received intravenous busulfan between August 2015 and May 2020. AUCs were calculated from 3–5 blood sampling points in each patient, and the correlation between AUC and plasma concentrations (ng/mL) at 1, 2, 3, 4, and 6 h after initiating busulfan infusion (C, C, C, C, and C, respectively). Results: By one-point sampling strategy, the most accurate predicted AUC was based on C (r = 0.789; precision, 11.0%) in all patients. The predicted AUC based on C was highly precise (r = 0.937; precision, 5.9%) in adolescent patients weighing > 23 kg, but the correlation was poor in infants and young children weighing ≤23 kg (r = 0.782; precision, 11.4%). By two-point sampling strategy, the predicted AUC based on C and C showed the most favorable performance (r = 0.943; precision, 6.4%), even in infants and young children, whereas the predicted AUC based on C and C was acceptable (r = 0.963; precision, 5.7%). Conclusions: The AUC of busulfan can be predicted based on C in adolescent patients. However, there was substantial inter-individual variation in busulfan pharmacokinetics in infants and young children, in whom two-point LSS was necessary for accurate AUC prediction.

2020 ◽  
Vol 15 ◽  
Author(s):  
Asieh Karimani ◽  
Hasan Abedi ◽  
Fatemeh Nazemian ◽  
Atena Poortaji ◽  
Amir Hooshang Mohammad pour

Background: The area under the concentration-time curve (AUC) of mycophenolic acid (MPA), is a valid prognosticator of the risk of rejection and the gold standard in its therapeutic drug monitoring (TDM), over time posttransplantation. Objective: This study aimed to investigate MPA pharmacokinetic parameters, as well as developing a limited sampling strategy (LSS) to estimate an abbreviated MPA AUC, in the stable phase post-renal transplantation. Methods: In this study 19 patients with normal graft function (glomerular filtration rate >70 ml/min) who fulfilled inclusion & exclusion criteria were involved. Blood samples at various times were taken in the stable phase after transplantation. MPA plasma concentration was measured by reverse-phase high-performance liquid chromatography. MPA AUC0–12h was calculated using the linear trapezoidal rule. Multiple stepwise regression analysis was used to determine the minimal time points of MPA levels that could be used to yield model equations best fitted to MPA AUC 0- 12h. The findings of this study were compared with the results of our previous study, which was done similarly in the early phase post-renal transplantation. Results: The results demonstrated that the MPA-AUC and clearance were not affected over time, but MPA-tmax was significantly lower in the stable phase in comparison with the early phase (P=0.001). The best regression equation for AUC estimation in the stable phase was AUC=9.57*C6+27.238 (r2=0.907). The validation of the method was performed using the jackknife method. The mean prediction error of these models was not different from zero (P > 0.05) and had a high root mean square prediction error (7.91). Conclusion: In conclusion, the pharmacokinetics of MPA could be affected by time after transplantation, make it essential to develop a limited sampling strategy granted an efficacious approach for therapeutic drug monitoring during the stable post-transplant period.


Sign in / Sign up

Export Citation Format

Share Document