scholarly journals Validasi Metode Bioanalisis Vankomisin HCl dalam Spiked-plasma Manusia Menggunakan KCKT-UV untuk Aplikasi PKOD

2019 ◽  
Vol 19 (1) ◽  
pp. 57-70
Author(s):  
Ari Wibowo ◽  
Damas Inggil Maulidina ◽  
Wahyuni Shalatan Fitri ◽  
Vitarani Ningrum

As the first-line antibiotic for the treatment of infections caused by methicillin-resistant Staphylococcus aureus  (MRSA), vancomycin has  a narrow therapeutic index with high pharmacokinetic   variability. Therefore, it is deemed necessary to examine its concentration in the blood as a strategy to monitor the fulfillment of therapeutic levels  in patients receiving vancomycin. This study aimed to validate vancomycin bioanalysis  in  spiked-human  plasma  for  the  applications  of  therapeutic  drug  monitoring  (TDM).

2021 ◽  
Vol 74 (4) ◽  
Author(s):  
Ryan Marko ◽  
Julia Hajjar ◽  
Vanessa Nzeribe ◽  
Michelle Pittman ◽  
Vincent Deslandes ◽  
...  

Background: Vancomycin remains widely used for methicillin-resistant Staphylococcus aureus (MRSA) infections; however, treatment failure rates up to 50% have been reported. At the authors’ institution, monitoring of trough concentration is the standard of care for therapeutic drug monitoring of vancomycin. New guidelines support use of the ratio of 24-hour area under the concentration–time curve to minimum inhibitory concentration (AUC24/MIC) as the pharmacodynamic index most likely to predict outcomes in patients with MRSA-associated infections.Objectives: To determine the discordance rate between trough levels and AUC24/MIC values and how treatment failure and nephrotoxicity outcomes compare between those achieving and not achieving their pharmacodynamic targets. Methods: This retrospective cohort study involved patients with MRSA bacteremia or pneumonia admitted to the study hospital between March 1, 2014, and December 31, 2018, and treated with vancomycin. Data for trough concentrations were collected, and minimum concentrations (Cmin) were extrapolated. The AUC24/MIC values were determined using validated population pharmacokinetic models. The Cmin and AUC24/MIC values were characterized as below, within, or above pharmacodynamic targets (15–20 mg/L and 400–600, respectively). Discordance was defined as any instance where a patient’s paired Cmin and AUC24/MIC values fell in different ranges (i.e., below, within, or above) relative to the target ranges. Predictors of treatment failure and nephrotoxicity were determined using logistic regression. Results: A total of 128 patients were included in the analyses. Of these, 73 (57%) received an initial vancomycin dose less than 15 mg/kg. The discordance rate between Cmin and AUC24/MIC values was 21% (27/128). Rates of treatment failure and nephrotoxicity were 34% (43/128) and 18% (23/128), respectively. No clinical variables were found to predict discordance. Logistic regression identified initiation of vancomycin after a positive culture result (odds ratio [OR] 4.41, 95% confidence interval [CI] 1.36–14.3) and achievement of target AUC24/MIC after 4 days (OR 3.48, 95% CI 1.39–8.70) as modifiable predictors of treatment failure. Conclusions: The relationship between vancomycin monitoring and outcome is likely confounded by inadequate empiric or initial dosing. Before any modification of practice with respect to vancomycin monitoring, empiric vancomycin dosing should be optimized.  RÉSUMÉ Contexte : La vancomycine reste largement utilisée contre les infections dues au Staphylococcus aureus méthicillinorésistant (SAMR); cependant, on rapporte des taux d’échec de traitement allant jusqu’à 50 %. Dans l’institution où travaillent les auteurs, la surveillance de la concentration minimale constitue la norme de soins du suivi thérapeutique pharmacologique de la vancomycine. De nouvelles lignes directrices soutiennent l’utilisation du ratio de 24 h de l’aire sous la courbe de concentration-temps à concentration minimale inhibitrice (AUC24/MIC) en tant qu’indice pharmacodynamique, vraisemblablement pour prédire certains résultats concernant les patients présentant des infections associées au SAMR. Objectifs : Déterminer le taux de discordance entre la concentration minimale et les valeurs de l’AUC24/MIC et la manière dont les échecs de traitement et les résultats de néphrotoxicité se comparent entre les personnes atteignant leurs cibles pharmacodynamiques et celles qui ne l’atteignent pas. Méthodes : Cette étude de cohorte rétrospective impliquait des patients atteints d’une bactériémie au SAMR ou d’une pneumonie au SAMR, admis à l’hôpital où se déroulait l’étude entre le 1er mars 2014 et le 31 décembre 2018 et traités à l’aide de vancomycine. Les données relatives aux concentrations minimales ont été recueillies, et les concentrations minimales (Cmin) extrapolées. Les valeurs de l’AUC24/MIC ont été déterminées à l’aide de modèles de population pharmacocinétiques validés. La caractérisation des valeurs de la Cmin et des valeurs de l’AUC24/MIC se décrit comme suit : « en dessous », « à l’intérieur » ou « au-dessus » des cibles pharmacodynamiques (respectivement 15-20 mg/L et 400-600). La discordance était définie comme une situation où les valeurs associées de la Cmin et de l’AUC24/MIC tombaient dans des plages différentes (c.-à-d., en dessous, à l’intérieur ou au-dessus) par rapport aux plages cibles. Une régression logistique a permis de déterminer les prédicteurs d’échecs de traitement et de néphrotoxicité. Résultats : Au total, 128 patients ont été inclus dans les analyses. De ceux-ci, 73 (57 %) ont reçu une dose initiale de vancomycine de moins de 15 mg/kg. Le taux de discordance entre les valeurs de la Cmin et de l’AUC24/MIC était de 21 % (27/128). Les taux d’échec de traitement et de néphrotoxicité se montaient respectivement à 34 % (43/128) et 18 % (23/128). Aucune variable clinique n’a pu prédire la discordance. La régression logistique a permis de déterminer le début de l’administration de la vancomycine après un résultat de culture positif (rapport de cotes [RC] 4,41, 95 % intervalle de confiance [IC] 1,36–14,3) et l’atteinte de la cible de l’AUC24/MIC après quatre jours (RC 3,48, 95 % IC 1,39-8,70) en tant que prédicteurs modifiables de l’échec du traitement. Conclusions : Il existe probablement une confusion relative à la relation entre la surveillance de la vancomycine et le résultat à cause d’un dosage empirique ou initial inadéquat. Avant de modifier la pratique relative à la surveillance de la vancomycine, le pharmacien doit optimiser son dosage empirique.


2020 ◽  
pp. 107815522097904
Author(s):  
Bushra Salman ◽  
Murtadha Al-Khabori

Most anticancer agents show wide variability in pharmacokinetics (PK) and have a narrow therapeutic index which makes fixed dosing suboptimal. To achieve the best therapeutic outcomes with these agents, many studies have postulated using PK or therapeutic drug monitoring (TDM)-guided dosing. However, multiple factors contribute to the variability in PKs making the application of TDM in practice challenging. Also, despite the known association with clinical outcomes, standard guidelines on PK-guided dosing are lacking for most agents. Understanding the factors that contribute to PK variability and their impact is essential for dose individualization. The purpose of this review is to discuss the factors that contribute to the PK variability of anticancer agents and the challenges faced in practice when individualizing doses for certain widely used agents. Searching the literature has identified several gaps and efforts are needed to ensure better targeting of cancer therapeutics.


2020 ◽  
Vol 10 (02) ◽  
pp. 284-291
Author(s):  
Qutaiba Ahmad Al Khames Aga ◽  
Yazan A. Bataineh ◽  
Hala Mousa Sbaih

The majority of anticancer drugs are recognized with a narrow therapeutic index, the area under the plasma levels vs. time curve (AUC) is the common pharmacokinetic (PK) parameter, which utilizes specifically for cytotoxic drugs. Therapeutic drug monitoring (TDM) approach in these drugs has never been completely applied due to different reasons, for example, the use of combination chemotherapies for different malignant tumors, and the behavior of intracellular compounds; it is possible to eliminate these limitations by using specific concentrations of cytotoxic drugs and measure AUC after certain conditions. In this review article, we discussed the common TDM parameters, methods of analysis, and some of drug interactions for a group of cytotoxic drugs.


1993 ◽  
Vol 39 (11) ◽  
pp. 2419-2430 ◽  
Author(s):  
A J Galpin ◽  
W E Evans

Abstract Several anticancer drugs display characteristics that make them suitable candidates for therapeutic drug monitoring (TDM), including substantial pharmacokinetic variability and a narrow therapeutic index. However, concentration-effect relationships (pharmacodynamics) of most antineoplastic agents have not been well defined, thus limiting the widespread clinical application of TDM for cancer chemotherapy. Strategic incorporation of pharmacokinetic studies during phase I-III clinical trials should facilitate the identification of concentration-effect relationships and the definition of clinically useful levels of treatment intensity. We review representative clinical studies that have defined pharmacodynamic relationships for methotrexate, teniposide, etoposide, carboplatin, and mercaptopurine. Given that TDM has impacted positively on the clinical use of many drugs belonging to other therapeutic classes, and that pharmacodynamic correlations have been identified in several recent studies of anticancer drugs, we consider implementation of TDM a rational strategy for optimizing the use of selected antineoplastics.


2013 ◽  
Vol 57 (4) ◽  
pp. 1888-1894 ◽  
Author(s):  
William W. Hope ◽  
Michael VanGuilder ◽  
J. Peter Donnelly ◽  
Nicole M. A. Blijlevens ◽  
Roger J. M. Brüggemann ◽  
...  

ABSTRACTThe efficacy of voriconazole is potentially compromised by considerable pharmacokinetic variability. There are increasing insights into voriconazole concentrations that are safe and effective for treatment of invasive fungal infections. Therapeutic drug monitoring is increasingly advocated. Software to aid in the individualization of dosing would be an extremely useful clinical tool. We developed software to enable the individualization of voriconazole dosing to attain predefined serum concentration targets. The process of individualized voriconazole therapy was based on concepts of Bayesian stochastic adaptive control. Multiple-model dosage design with feedback control was used to calculate dosages that achieved desired concentration targets with maximum precision. The performance of the software program was assessed using the data from 10 recipients of an allogeneic hematopoietic stem cell transplant (HSCT) receiving intravenous (i.v.) voriconazole. The program was able to model the plasma concentrations with a high level of precision, despite the wide range of concentration trajectories and interindividual pharmacokinetic variability. The voriconazole concentrations predicted after the last dosages were largely concordant with those actually measured. Simulations provided an illustration of the way in which the software can be used to adjust dosages of patients falling outside desired concentration targets. This software appears to be an extremely useful tool to further optimize voriconazole therapy and aid in therapeutic drug monitoring. Further prospective studies are now required to define the utility of the controller in daily clinical practice.


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