Literature DB >> 24305626

Optimal sparse sampling for estimating ganciclovir/valganciclovir AUC in solid organ transplant patients using NONMEN.

Ariadna Padullés Caldés1, Helena Colom, Anna Caldes, Gema Cerezo, Joan Torras, Josep M Grinyó, Núria Lloberas.   

Abstract

BACKGROUND: Ganciclovir and valganciclovir (GCV/VGCV) are used for the treatment and prophylaxis of cytomegalovirus in solid organ transplant (SOT) patients. An area under the time-concentration curve of 40-50 μg × h/mL is related to efficacy. Therapeutic drug monitoring could prevent suboptimal drug exposure and adverse events, but obtaining full concentration profiles is not feasible. Sampling optimization by developing a reliable and clinically applicable limited sampling strategy (LSS) may simplify dose adjustment.
METHODS: An LSS was developed using an original pharmacokinetic (PK) data set of 40 full profiles from 20 adult SOT patients. The LSS was developed based on population and Bayesian prediction approaches. Population PK parameters from a previous model were used for simulation or as priors (NONMEM version 7.2). Median percentage of prediction error and median of absolute percentage prediction error were calculated for plasma clearance (CL) and central compartment distribution volume (V(2)). Bias and precisions were compared using 1-way analysis of variance (SPSSv19.0).
RESULTS: Sampling windows were designed according to the PK profile previously observed with the entire set of data. The 4 windows selected were distributed from 0.5 to 1.5 hours, 2 to 3 hours, 4 to 5 hours, and 6 to 8 hours. Predose and concentrations beyond 8 hours were not considered in any case because simulated negative concentrations occurred in both cases. Predicted exposure using 3 sampling times (0.5-1.5, 4-5, and 6-8 hours) showed the best predictive performance, by either the population or Bayesian approaches. Bias and imprecision for CL and V(2) were 0 and 0.60%, and -0.78% and 0.78%, respectively.
CONCLUSIONS: GCV/VCG area under the time-concentration curve in SOT patients could be predicted with acceptable accuracy for clinical management and dose individualization using LSS. The estimator of GCV/VGC, using 3 concentrations measured at 0.5-1.5, 4-5, and 6-8 hours after drug intake, could be used for dose adjustment.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24305626     DOI: 10.1097/FTD.0000000000000007

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  4 in total

1.  Detection of Ganciclovir-Resistant Cytomegalovirus in a Prospective Cohort of Kidney Transplant Recipients Receiving Subtherapeutic Valganciclovir Prophylaxis.

Authors:  Diana D Wong; Wendy J van Zuylen; Talia Novos; Sophie Stocker; Stephanie E Reuter; Jane Au; Charles S P Foster; Richard O Day; Andrea R Horvath; Zoltan Endre; William D Rawlinson
Journal:  Microbiol Spectr       Date:  2022-06-06

2.  Contribution of Population Pharmacokinetics to Dose Optimization of Ganciclovir-Valganciclovir in Solid-Organ Transplant Patients.

Authors:  A Padullés; H Colom; O Bestard; E Melilli; N Sabé; R Rigo; J Niubó; J Torras; L Lladó; N Manito; A Caldés; J M Cruzado; J M Grinyó; N Lloberas
Journal:  Antimicrob Agents Chemother       Date:  2016-03-25       Impact factor: 5.191

Review 3.  Antimicrobial therapeutic drug monitoring in critically ill adult patients: a Position Paper.

Authors:  Mohd H Abdul-Aziz; Jan-Willem C Alffenaar; Matteo Bassetti; Hendrik Bracht; George Dimopoulos; Deborah Marriott; Michael N Neely; Jose-Artur Paiva; Federico Pea; Fredrik Sjovall; Jean F Timsit; Andrew A Udy; Sebastian G Wicha; Markus Zeitlinger; Jan J De Waele; Jason A Roberts
Journal:  Intensive Care Med       Date:  2020-05-07       Impact factor: 17.440

4.  Therapeutic Drug Monitoring of Ganciclovir Treatment for Cytomegalovirus Infections Among Immunocompromised Children.

Authors:  Chris Stockmann; Catherine M T Sherwin; Elizabeth D Knackstedt; Adam L Hersh; Andrew T Pavia; Michael G Spigarelli
Journal:  J Pediatric Infect Dis Soc       Date:  2016-03-08       Impact factor: 3.164

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.