1
|
Munir MM, Rasheed H, Khokhar MI, Khan RR, Saeed HA, Abbas M, Ali M, Bilal R, Nawaz HA, Khan AM, Qamar S, Anjum SM, Usman M. Dose Tailoring of Vancomycin Through Population Pharmacokinetic Modeling Among Surgical Patients in Pakistan. Front Pharmacol 2021; 12:721819. [PMID: 34858169 PMCID: PMC8632000 DOI: 10.3389/fphar.2021.721819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 10/12/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Vancomycin is a narrow therapeutic agent, and it is necessary to optimize the dose to achieve safe therapeutic outcomes. The purpose of this study was to identify the significant covariates for vancomycin clearance and to optimize the dose among surgical patients in Pakistan. Methods: Plasma concentration data of 176 samples collected from 58 surgical patients treated with vancomycin were used in this study. A population pharmacokinetic model was developed on NONMEM® using plasma concentration-time data. The effect of all available covariates was evaluated on the pharmacokinetic parameters of vancomycin by stepwise covariate modeling. The final model was evaluated using bootstrap, goodness-of-fit plots, and visual predictive checks. Results: The pharmacokinetics of vancomycin followed a one-compartment model with first-order elimination. The vancomycin clearance (CL) and volume of distribution (Vd) were 2.45 L/h and 22.6 l, respectively. Vancomycin CL was influenced by creatinine clearance (CRCL) and body weight of the patients; however, no covariate was significant for its effect on the volume of distribution. Dose tailoring was performed by simulating dosage regimens at a steady state based on the CRCL of the patients. The tailored doses were 400, 600, 800, and 1,000 mg for patients with a CRCL of 20, 60, 100, and 140 ml/min, respectively. Conclusion: Vancomycin CL is influenced by CRCL and body weight of the patient. This model can be helpful for the dose tailoring of vancomycin based on renal status in Pakistani patients.
Collapse
Affiliation(s)
- Muhammad Muaaz Munir
- Institute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Huma Rasheed
- Institute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Muhammad Imran Khokhar
- Ameer-ud-Din Medical College, Post-Graduate Medical Institute (PGMI), Lahore General Hospital, Lahore, Pakistan
| | - Rizwan Rasul Khan
- Department of Medicine, Aziz Fatima Medical and Dental College, Faisalabad, Pakistan
| | | | - Mateen Abbas
- Quality Operation Laboratory, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Mohsin Ali
- Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Govt College University, Faisalabad, Pakistan
| | - Rabiea Bilal
- CMH Lahore Medical College and IOD, NUMS, Lahore, Pakistan
| | - Hafiz Awais Nawaz
- Institute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Abdul Muqeet Khan
- Quality Operation Laboratory, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Shaista Qamar
- Institute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Syed Muneeb Anjum
- Institute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Muhammad Usman
- Institute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan
| |
Collapse
|
2
|
Passot C, Sberro-Soussan R, Bertrand D, Caillard S, Schvartz B, Domenger C, Contin-Bordes C, Paintaud G, Halimi JM, Ternant D, Gatault P. Feasibility and safety of tailored dosing schedule for eculizumab based on therapeutic drug monitoring: Lessons from a prospective multicentric study. Br J Clin Pharmacol 2020; 87:2236-2246. [PMID: 33118186 DOI: 10.1111/bcp.14627] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 10/13/2020] [Accepted: 10/17/2020] [Indexed: 12/23/2022] Open
Abstract
AIMS Eculizumab is an anti-C5 monoclonal antibody approved for rare diseases including atypical haemolytic-uraemic syndrome. The maintenance phase dosing regimen is identical for all adult patients: 1200 mg every 2 weeks. Recent studies reported an overexposure in many patients when considering a target trough concentration range of 50-100 mg/L. The aim of the present work was to validate the feasibility of therapeutic drug monitoring of eculizumab in atypical haemolytic-uraemic syndrome patients. METHODS We performed a 2-step prospective multicentre study. In the first phase, we developed a pharmacokinetic population model using data from 40 patients and identified patients for whom a 1-week lengthening of interval between infusions would lead to a trough concentration above 100 mg/L. In the second phase, selected patients were allocated a 1-week extension and eculizumab trough concentrations were monitored. RESULTS The model confirmed the previously reported influence of bodyweight on elimination clearance and predicted that 36 (90%) patients would be eligible for interval extension. In the second phase of the study, a 1-week lengthening of interval between infusions was performed in 15 patients whose trough concentration at the next visit was predicted with a Bayesian model to be above 100 mg/L. After interval extension, 10 patients (67%) presented measured trough concentrations over 100 mg/L. No biological or clinical recurrence of disease was observed, even in the 5 patients with concentrations below 100 mg/L in whom the initial dosing regimen was resumed. CONCLUSION Safe eculizumab interval adjustment is feasible with a PK monitoring.
Collapse
Affiliation(s)
- Christophe Passot
- EA7501, University of Tours, France.,Laboratory of Pharmacology-Toxicology, CHRU de Tours, France.,Integrated Center for Oncology, Angers, France
| | - Rebecca Sberro-Soussan
- Service de Néphrologie et Transplantation Adulte, Hôpital Necker-Enfants Malades, Université Paris Descartes, Assistance Publique-Hôpitaux de Paris, Paris, France
| | | | - Sophie Caillard
- Nephrology and Transplant Department, Strasbourg University Hospital, Strasbourg, France
| | | | | | | | - Gilles Paintaud
- EA7501, University of Tours, France.,Laboratory of Pharmacology-Toxicology, CHRU de Tours, France
| | - Jean-Michel Halimi
- EA4245 Transplant Immunology and Inflammation, Université de Tours, Tours, France.,Service de Néphrologie-Hypertension artérielle, Dialyses, Transplantation rénale, CHRU Tours, France
| | - David Ternant
- EA7501, University of Tours, France.,Laboratory of Pharmacology-Toxicology, CHRU de Tours, France
| | - Philippe Gatault
- EA4245 Transplant Immunology and Inflammation, Université de Tours, Tours, France.,Service de Néphrologie-Hypertension artérielle, Dialyses, Transplantation rénale, CHRU Tours, France
| |
Collapse
|
3
|
Allard Q, Djerada Z, Pouplard C, Repessé Y, Desprez D, Galinat H, Frotscher B, Berger C, Harroche A, Ryman A, Flaujac C, Chamouni P, Guillet B, Volot F, Szymezak J, Nguyen P, Cazaubon Y. Real Life Population Pharmacokinetics Modelling of Eight Factors VIII in Patients with Severe Haemophilia A: Is It Always Relevant to Switch to an Extended Half-Life? Pharmaceutics 2020; 12:E380. [PMID: 32326156 DOI: 10.3390/pharmaceutics12040380] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 04/10/2020] [Accepted: 04/17/2020] [Indexed: 01/19/2023] Open
Abstract
We retrospectively analysed the data files of 171 adults and 87 children/adolescents with severe haemophilia, except for 14 patients (moderate; minor) (1), to develop a global population pharmacokinetic (PK) model for eight factors VIII (FVIII) that could estimate individual PK parameters for targeting the desired level of FVIII activity (FVIII:C); and (2) to compare half-life (HL) in patients switching from a standard half-life (SHL) to an extended half-life (EHL) and evaluate the relevance of the switch. One-stage clotting assay for the measurement of FVIII activity (FVIII:C, IU/mL) was used for population PK modelling. The software, Monolix version 2019R1, was used for non-linear mixed-effects modelling. A linear two-compartment model best described FVIII:C. The estimated PK parameters (between-subject variability) were: 2640 mL (23.2%) for volume of central compartment (V1), 339 mL (46.8%) for volume of peripheral compartment (V2), 135 mL/h for Q (fixed random effect), and 204 mL/h (34.9%) for clearance (Cl). Weight, age, and categorical covariate EHL were found to influence Cl and only weight for V1. This model can be used for all of the FVIII cited in the study. Moreover, we demonstrated, in accordance with previous studies, that Elocta had longer half-life (EHL) than SHL (mean ratio: 1.48) as compared to Advate, Factane, Kogenate, Novoeight, and Refacto.
Collapse
|
4
|
Björkman S. Pharmacokinetics of plasma-derived and recombinant factor IX - implications for prophylaxis and on-demand therapy. Haemophilia 2013; 19:808-13. [PMID: 23786333 DOI: 10.1111/hae.12216] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/27/2013] [Indexed: 01/01/2023]
Abstract
Plasma-derived (pd) and recombinant (r) factor IX (FIX) differ in pharmacokinetic (PK) properties. These differences and their clinical implications have been debated since the introduction of rFIX. The aim of this review was to describe the comparative disposition of pdFIX and rFIX and will for this purpose begin with an overview of population PK modelling. In contrast to the model-independent method, a population PK model can analyse sparse data sets obtained in various settings, provide parameter values that can be used to predict coagulation factor levels with any kind of single or multiple dosing and include statistical analysis of variation between individuals. Population modelling has also clearly demonstrated the difference in PK between pdFIX and rFIX. Their distribution characteristics influence the FIX coagulant activity (FIX:C) level vs. time curve during the early hours after infusion. In vivo recovery and elimination half-life are consequently not adequate descriptors of the effective PK of FIX, and for new analogues with modified PK, differences in distribution might be clinically important. Calculated doses to maintain 1% trough levels during twice-weekly prophylactic treatment are considerably higher with rFIX than with pdFIX and roughly correspond to dosing in clinical studies. However, the putative relationship between FIX:C trough level and therapeutic outcome has never been confirmed in a clinical trial. Comparative studies on prophylaxis with different types of FIX are needed.
Collapse
Affiliation(s)
- S Björkman
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| |
Collapse
|