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Wang WJ, Li Y, Hu YH, Wang J, Zhang YY, Fan L, Dai HR, Guo HL, Ding XS, Chen F. Population pharmacokinetics of valproic acid in children with epilepsy: Implications for dose tailoring when switching from oral syrup to sustained-release tablets. CPT Pharmacometrics Syst Pharmacol 2024. [PMID: 38923247 DOI: 10.1002/psp4.13191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 05/14/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024] Open
Abstract
Significant pharmacokinetic (PK) differences exist between different forms of valproic acid (VPA), such as syrup and sustained-release (SR) tablets. This study aimed to develop a population pharmacokinetic (PopPK) model for VPA in children with epilepsy and offer dose adjustment recommendation for switching dosage forms as needed. The study collected 1411 VPA steady-state trough concentrations (Ctrough) from 617 children with epilepsy. Using NONMEM software, a PopPK model was developed, employing a stepwise approach to identify possible variables such as demographic information and concomitant medications. The final model underwent internal and external evaluation via graphical and statistical methods. Moreover, Monte Carlo simulations were used to generate a dose tailoring strategy for typical patients weighting 20-50 kg. As a result, the PK characteristics of VPA were described using a one-compartment model with first-order absorption. The absorption rate constant (ka) was set at 2.64 and 0.46 h-1 for syrup and SR tablets. Body weight and sex were identified as significant factors affecting VPA's pharmacokinetics. The final PopPK model demonstrated acceptable prediction performance and stability during internal and external evaluation. For children taking syrup, a daily dose of 25 mg/kg resulted in the highest probability of achieving the desired target Ctrough, while a dose of 20 mg/kg/day was appropriate for those taking SR tablets. In conclusion, we established a PopPK model for VPA in children with epilepsy to tailor VPA dosage when switching between syrup and SR tablets, aiming to improve plasma VPA concentrations fluctuations.
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Affiliation(s)
- Wei-Jun Wang
- Department of Pharmacy, Pharmaceutical Sciences Research Center, Children's Hospital of Nanjing Medical University, Nanjing, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Yue Li
- Department of Pharmacy, Pharmaceutical Sciences Research Center, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Ya-Hui Hu
- Department of Pharmacy, Pharmaceutical Sciences Research Center, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Jie Wang
- Department of Pharmacy, Pharmaceutical Sciences Research Center, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Yuan-Yuan Zhang
- Department of Pharmacy, Pharmaceutical Sciences Research Center, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Lin Fan
- Department of Pharmacy, Pharmaceutical Sciences Research Center, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Hao-Ran Dai
- Department of Pharmacy, Pharmaceutical Sciences Research Center, Children's Hospital of Nanjing Medical University, Nanjing, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Hong-Li Guo
- Department of Pharmacy, Pharmaceutical Sciences Research Center, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Xuan-Sheng Ding
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Feng Chen
- Department of Pharmacy, Pharmaceutical Sciences Research Center, Children's Hospital of Nanjing Medical University, Nanjing, China
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2
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Zhang L, Liu M, Qin W, Shi D, Mao J, Li Z. Modeling the protein binding non-linearity in population pharmacokinetic model of valproic acid in children with epilepsy: a systematic evaluation study. Front Pharmacol 2023; 14:1228641. [PMID: 37869748 PMCID: PMC10587682 DOI: 10.3389/fphar.2023.1228641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 09/19/2023] [Indexed: 10/24/2023] Open
Abstract
Background: Several studies have investigated the population pharmacokinetics (popPK) of valproic acid (VPA) in children with epilepsy. However, the predictive performance of these models in the extrapolation to other clinical environments has not been studied. Hence, this study evaluated the predictive abilities of pediatric popPK models of VPA and identified the potential effects of protein binding modeling strategies. Methods: A dataset of 255 trough concentrations in 202 children with epilepsy was analyzed to assess the predictive performance of qualified models, following literature review. The evaluation of external predictive ability was conducted by prediction- and simulation-based diagnostics as well as Bayesian forecasting. Furthermore, five popPK models with different protein binding modeling strategies were developed to investigate the discrepancy among the one-binding site model, Langmuir equation, dose-dependent maximum effect model, linear non-saturable binding equation and the simple exponent model on model predictive ability. Results: Ten popPK models were identified in the literature. Co-medication, body weight, daily dose, and age were the four most commonly involved covariates influencing VPA clearance. The model proposed by Serrano et al. showed the best performance with a median prediction error (MDPE) of 1.40%, median absolute prediction error (MAPE) of 17.38%, and percentages of PE within 20% (F20, 55.69%) and 30% (F30, 76.47%). However, all models performed inadequately in terms of the simulation-based normalized prediction distribution error, indicating unsatisfactory normality. Bayesian forecasting enhanced predictive performance, as prior observations were available. More prior observations are needed for model predictability to reach a stable state. The linear non-saturable binding equation had a higher predictive value than other protein binding models. Conclusion: The predictive abilities of most popPK models of VPA in children with epilepsy were unsatisfactory. The linear non-saturable binding equation is more suitable for modeling non-linearity. Moreover, Bayesian forecasting with prior observations improved model fitness.
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Affiliation(s)
- Lina Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Maochang Liu
- Department of Pharmacy, Wuhan Children’s Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Weiwei Qin
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China
| | - Dandan Shi
- Department of Pediatrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junjun Mao
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China
| | - Zeyun Li
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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3
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Li Y, Zhan H, Wu J, Yu J, Cao G, Wu X, Guo B, Liu X, Fan Y, Hu J, Li X, Wu H, Wang Y, Chen Y, Xu X, Yu P, Zhang J. Population Pharmacokinetics and Exposure-Safety of Lipophilic Conjugates Prodrug DP-VPA in Healthy Chinese Subjects for Dose Regime Exploring. Eur J Pharm Biopharm 2023:S0939-6411(23)00111-X. [PMID: 37142130 DOI: 10.1016/j.ejpb.2023.04.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 04/07/2023] [Accepted: 04/27/2023] [Indexed: 05/06/2023]
Abstract
Phospholipid-valproic acid (DP-VPA)is a prodrug for treating epilepsy. The present study explored the pharmacokinetics (PK) and exposure safety of DP-VPA to provide a basis for future studies exploring the safe dosage and therapeutic strategies for epilepsy. The study included a randomized placebo-controlled dose-escalation tolerance evaluation trial and a randomized triple crossover food-effect trial in healthy Chinese volunteers. A population pharmacokinetic (PopPK) model was established to analyze the PK of DP-VPA and active metabolite VPA. The exposure safety was assessed with the adverse drug reaction (ADR) in CNS. The PopPK of DP-VPA and metabolite VPA fitted a two-compartment model coupling one-compartment with Michaelis-Menten metabolite kinetics and first-order elimination. The absorption processes after single oral administration of DP-VPA tablet demonstrated nonlinear characteristics, including 0-order kinetic phase and time-dependent phase fitting Weibull distribution. The final model indicated that the DP-VPA PK was significantly affected by dosage and food. The exposure-safety relationship demonstrated a generalized linear regression; mild/moderate ADRs occurred in some subjects with 600 mg and all subjects with 1500 mg of DP-VPA, and no severe ADRs were reported up to 2400 mg. In conclusion, the study established a PopPK model describing the processing of DP-VPA and VPA in healthy Chinese subjects. DP-VPA showed good tolerance after a single dose of 600-2400 mg with nonlinear PK and was affected by dosage and food. Based on the association between neurological ADRs and higher exposure to DP-VPA by exposure-safety analysis, 900-1200 mg was recommended for subsequent study of safety and clinical effectiveness.
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Affiliation(s)
- Yi Li
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Huizhong Zhan
- Office of Drug Clinical Trail Institute, Huashan Hospital, Fudan University, Shanghai, China
| | - Jufang Wu
- Phase I Clinical Research Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Jicheng Yu
- Phase I Clinical Research Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Guoying Cao
- Phase I Clinical Research Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaojie Wu
- Phase I Clinical Research Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Beining Guo
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Xiaofen Liu
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Yaxin Fan
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Jiali Hu
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Xin Li
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Hailan Wu
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Yu Wang
- National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China
| | - Yuancheng Chen
- Phase I Clinical Research Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoyong Xu
- Shanghai Medical College, Fudan University, Shanghai, China
| | - Peimin Yu
- Institute of Neurology, Huashan Hospital, Fudan University, WHO Collaborating Centre for Research and Training in Neurosciences, Shanghai, China.
| | - Jing Zhang
- Phase I Clinical Research Center, Huashan Hospital, Fudan University, Shanghai, China; National Clinical Research Center for Geriatric Diseases, Huashan Hospital, Fudan University, Shanghai, China; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China; China Key Laboratory of Clinical Pharmacology of Antibiotics, Ministry of Health, Shanghai, China.
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4
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A novel method for predicting the unbound valproic acid concentration. Drug Metab Pharmacokinet 2023; 50:100503. [PMID: 37080137 DOI: 10.1016/j.dmpk.2023.100503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 01/26/2023] [Accepted: 03/02/2023] [Indexed: 03/07/2023]
Abstract
In this study, we constructed a prediction formula for unbound valproic acid (VPA) concentration that was more accurate and widely applicable than previously reported formulae. A total of 136 datasets from 75 patients were analyzed retrospectively. The median of free fraction of VPA was 0.16 (interquartile range: 0.07; range: 0.07-0.45). The parameter that combined total VPA concentration (CtVPA) and serum albumin (SA), (CtVPA [μM] - 2 × SA [μM]), was significantly related to the free fraction of VPA (r = 0.76, p < 0.001). We constructed a combined parameter-based prediction formula for unbound VPA concentration. Analysis using external datasets from patients without severe renal failure showed that the prediction errors of the unbound VPA concentration were lower than those of previously reported formulae. Although the previous formulae showed large prediction errors, especially in the specific range of CtVPA values, the constructed formula showed a weak trend with CtVPA or SA. The formula based on (CtVPA [μM] - 2 × SA [μM]) had high prediction accuracy and wide applicability in predicting the unbound VPA concentration in patients without severe renal failure.
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5
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Zang YN, Guo W, Dong F, Li AN, de Leon J, Ruan CJ. Published population pharmacokinetic models of valproic acid in adult patients: a systematic review and external validation in a Chinese sample of inpatients with bipolar disorder. Expert Rev Clin Pharmacol 2022; 15:621-635. [PMID: 35536685 DOI: 10.1080/17512433.2022.2075849] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND This study reviewed all published valproic acid (VPA) population pharmacokinetic (PPK) models in adult patients and assessed them using external validation methods to determine predictive performance. METHODS Thirteen published PPK models (labeled with letters A to M) not restricted to children were identified in PubMed, Embase, and Web of Science databases. They were evaluated in a sample totaling 411 serum concentrations from 146 adult inpatients diagnosed with bipolar disorder in a Chinese hospital. Serum concentrations of VPA were analyzed by validated ultra-performance liquid chromatography-tandem mass spectrometry. Performance was assessed by 4 tests (prediction-based diagnostics, visual predictive checks, normalized prediction distribution error, and Bayesian forecasting). RESULTS Models K and L, developed in large samples of Chinese and Thai patients, showed good performance in our Chinese dataset. Models H and J demonstrated good performance in Tests 2 and 3 of the 4 tests, respectively. Another 7 models exhibited intermediate performance. The models with the worst performance, F and M, could not be improved by Bayesian forecasting. CONCLUSION In our validation study the most important factors contributing to good performance were absence of children, Asian ethnicity, one-compartment models and inclusion of body weight and VPA dose in previously published models.
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Affiliation(s)
- Yan-Nan Zang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Wei Guo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Fang Dong
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - An-Ning Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jose de Leon
- Mental Health Research Center at Eastern State Hospital, 1350 Bull Lea Road, Lexington, KY 40511, USA.,Biomedical Research Centre in Mental Health Net (CIBERSAM), Santiago Apóstol Hospital, University of the Basque Country, Vitoria, Spain
| | - Can-Jun Ruan
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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6
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Comparison of liquid-liquid extraction, microextraction and ultrafiltration for measuring free concentrations of testosterone and phenytoin. Bioanalysis 2022; 14:195-204. [PMID: 35034505 PMCID: PMC8830356 DOI: 10.4155/bio-2021-0249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Aim: The purpose of the study was to find methods suitable for measuring the free concentrations of testosterone and phenytoin. Materials & methods: Sample solutions of the compounds in buffer and human albumin were processed using liquid-liquid extraction, microextraction and ultrafiltration and analyzed by LC-MS/MS. Results: Liquid-liquid extraction with dibutyl phthalate provided complete extraction from buffer solutions and partial extraction from albumin samples. Spintip C18 devices provided exhaustive extraction from buffer and albumin samples. Spintip C8 devices offered complete extraction from buffer and approximately 50% recovery from albumin samples. Centrifree ultrafiltration devices showed high recovery of free concentrations from all the samples, while Amicon and Nanosep devices provided partial recovery. Conclusion: Spintip C8 and Centrifree devices proved useful for measuring free concentrations.
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7
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Bennett S, Shad MU. Valproic acid autoinduction: a case-based review. Int J Bipolar Disord 2021; 9:27. [PMID: 34468892 PMCID: PMC8408294 DOI: 10.1186/s40345-021-00232-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 07/29/2021] [Indexed: 11/10/2022] Open
Abstract
Although valproic acid (VPA) induces the metabolism of multiple other drugs, the clinical reports of VPA autoinduction are rare. A comprehensive literature search yielded only one published case series, which provided the rationale to conduct a review of the published cases along with a new case of VPA autoinduction. Although there may be myriad of reasons for lack of published cases of VPA autoinduction, potential underreporting may be one of the core reasons. Lack of understanding into the highly complex metabolism of VPA may also make it difficult to recognize and report VPA autoinduction. However, it is important to mention that in addition to autoinduction increased elimination of VPA may be mediated by several pharmacokinetic (PK) factors, such as drug interactions, genetic polymorphisms of metabolic enzymes, and protein displacement reactions. As VPA is metabolized by multiple metabolic pathways, the risk for drug interactions is relatively high. There is also a growing evidence for high genetic inducibility of some enzymes involved in VPA metabolism. Protein displacement reactions with VPA increase the biologically active and readily metabolizable free fraction and pose a diagnostic challenge as they are usually not requested by most clinicians. Thus, monitoring of free fraction with total VPA levels may prevent clinically serious outcomes and optimize VPA treatment in clinically challenging patients. This case-based review compares the clinical data from three published cases and a new case of VPA autoinduction to enhance clinicians' awareness of this relatively rare but clinically relevant phenomenon along with a discussion of potential underlying mechanisms.
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Affiliation(s)
| | - Mujeeb U Shad
- University of Nevada Las Vegas, Las Vegas, NV, USA. .,Touro University Nevada, Las Vegas, NV, USA. .,Valley Health System, Las Vegas, NV, USA.
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8
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Sathe AG, Mishra U, Ivaturi V, Brundage RC, Cloyd JC, Elm JJ, Chamberlain JM, Silbergleit R, Kapur J, Lowenstein DH, Shinnar S, Cock HR, Fountain NB, Babcock L, Coles LD. Early Exposure of Fosphenytoin, Levetiracetam, and Valproic Acid After High-Dose Intravenous Administration in Young Children With Benzodiazepine-Refractory Status Epilepticus. J Clin Pharmacol 2021; 61:763-768. [PMID: 33336359 DOI: 10.1002/jcph.1801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Fosphenytoin (FOS) and its active form, phenytoin (PHT), levetiracetam (LEV), and valproic acid (VPA) are commonly used second-line treatments of status epilepticus. However, limited information is available regarding LEV and VPA concentrations following high intravenous doses, particularly in young children. The Established Status Epilepticus Treatment Trial, a blinded, comparative effectiveness study of FOS, LEV, and VPA for benzodiazepine-refractory status epilepticus provided an opportunity to investigate early drug concentrations. Patients aged ≥2 years who continued to seizure despite receiving adequate doses of benzodiazepines were randomly assigned to FOS, LEV, or VPA infused over 10 minutes. A sparse blood-sampling approach was used, with up to 2 samples collected per patient within 2 hours following drug administration. The objective of this work was to report early drug exposure of PHT, LEV, and VPA and plasma protein binding of PHT and VPA. Twenty-seven children with median (interquartile range) age of 4 (2.5-6.5) years were enrolled. The total plasma concentrations ranged from 69 to 151.3 μg/mL for LEV, 11.3 to 26.7 μg/mL for PHT and 126 to 223 μg/mL for VPA. Free fraction ranged from 4% to 19% for PHT and 17% to 51% for VPA. This is the first report in young children of LEV concentrations with convulsive status epilepticus as well as VPA concentrations after a 40 mg/kg dose. Several challenges limited patient enrollment and blood sampling. Additional studies with a larger sample size are required to evaluate the exposure-response relationships in this emergent condition.
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Affiliation(s)
- Abhishek G Sathe
- Center for Orphan Drug Research, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.,Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA
| | - Usha Mishra
- Center for Orphan Drug Research, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA
| | - Vijay Ivaturi
- Center for Translational Medicine, University of Maryland, Baltimore, Maryland, USA
| | - Richard C Brundage
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA
| | - James C Cloyd
- Center for Orphan Drug Research, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.,Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA
| | - Jordan J Elm
- Department of Public Health Science, Medical University of South Carolina, Charleston, South Carolina, USA
| | - James M Chamberlain
- Division of Emergency Medicine, Children's National Hospital and the Department of Pediatrics and Emergency Medicine, School of Medicine and Health Sciences, George Washington University, Washington, District of Columbia, USA
| | - Robert Silbergleit
- Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Jaideep Kapur
- Department of Neurology and Department of Neuroscience, Brain Institute, University of Virginia, Charlottesville, Virginia, USA
| | - Daniel H Lowenstein
- Department of Neurology, University of California, San Francisco, California, USA
| | - Shlomo Shinnar
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Hannah R Cock
- Clinical Neurosciences Academic Group, Institute of Molecular and Clinical Sciences, St George's University of London, London, UK
| | - Nathan B Fountain
- Department of Neurology, Comprehensive Epilepsy Program, Charlottesville, Virginia, USA
| | - Lynn Babcock
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
| | - Lisa D Coles
- Center for Orphan Drug Research, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.,Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA
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9
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Cibotaru D, Celestin MN, Kane MP, Musteata FM. Method for Simultaneous Determination of Free Concentration, Total Concentration, and Plasma Binding Capacity in Clinical Samples. J Pharm Sci 2020; 110:1401-1411. [PMID: 33307041 DOI: 10.1016/j.xphs.2020.12.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 12/01/2020] [Accepted: 12/02/2020] [Indexed: 10/22/2022]
Abstract
Most quantitative research methods are based on measuring either the total or the free concentration of an analyte in a sample. However, this is often insufficient for the study of complex biological systems. The main objective of this research was to develop new methods for providing more information from samples: the free concentration (Cf), the total concentration (Ct), and the plasma binding capacity (PBC). Samples were processed using microextraction and ultrafiltration. For each of these techniques, two quantification procedures were used: addition of isotopically labeled standard and repeated analysis of the same sample. The new methods were validated by analyzing clinical samples and samples with known concentrations. Methods based on addition of labeled compound were found to be the fastest, and most reproducible. For analysis of clinical samples, methods based on microextraction were more sensitive and more accurate than those based on ultrafiltration. For analysis of pooled plasma samples, the overall accuracy of all approaches to determine PBC, testosterone Cf, and testosterone Ct was between 94 and 109%, 87-113%, and 94-122% respectively. The new approach goes beyond a simple concentration measurement, giving more information from clinical samples, with great potential for personalizing drug dosage and therapy to the needs of individual patients.
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Affiliation(s)
- Dorina Cibotaru
- Albany College of Pharmacy and Health Sciences, Department of Pharmaceutical Sciences, 106 New Scotland Avenue, Albany, NY 12208, USA
| | - Marie N Celestin
- Albany College of Pharmacy and Health Sciences, Department of Pharmacy Practice, 106 New Scotland Avenue, Albany, NY 12208, USA
| | - Michael P Kane
- Albany College of Pharmacy and Health Sciences, Department of Pharmacy Practice, 106 New Scotland Avenue, Albany, NY 12208, USA
| | - Florin M Musteata
- Albany College of Pharmacy and Health Sciences, Department of Pharmaceutical Sciences, 106 New Scotland Avenue, Albany, NY 12208, USA.
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10
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Methaneethorn J, Leelakanok N. Predictive ability of published population pharmacokinetic models of valproic acid in Thai manic patients. J Clin Pharm Ther 2020; 46:198-207. [PMID: 32986889 DOI: 10.1111/jcpt.13280] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 08/17/2020] [Accepted: 09/07/2020] [Indexed: 11/29/2022]
Abstract
WHAT IS KNOWN AND OBJECTIVE Population pharmacokinetic (PopPK) models of valproic acid (VPA) have been developed to aid individualized drug dosing, but most of these have been based on the treatment of epileptic patients and recent evidence shows that VPA clearance (CLVPA ) in manic patients differs from that in epileptic patients. In the light of this, the predictive ability of selected VPA PopPK models based on epileptic patients was assessed to determine whether they could be used with patients with mania. METHODS VPA PopPK models that were based on the treatment of epileptic patients and developed using a non-linear mixed-effect approach with a one-compartment structure were selected and used to predict the VPA concentrations of a validation data set. The mean absolute prediction error (MAPE) and root mean square error (RMSE) were used to assess the accuracy and precision of the model. RESULTS The validation data set consisted of 235 Thai manic patients with a mean age of 39.6 years and a mean weight of 62.8 kg. Five models were selected to predict VPA concentrations in patients suffering from mania, and these were labelled A, C, E, F and G. The results showed that all models sufficiently predicted VPA concentrations in patients with mania, and of the models studied, G provided the most accurate and precise predictions, with MAPE and RMSE of 23% and 29.75, respectively. WHAT IS NEW AND CONCLUSION VPA PopPK models developed using patients with epilepsy can also be used for individualized dosing of patients with mania, but before implementation, the accuracy of these models' predictions should be assessed in the target population.
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Affiliation(s)
- Janthima Methaneethorn
- Pharmacokinetic Research Unit, Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Naresuan University, Phitsanulok, Thailand.,Center of Excellence for Environmental Health and Toxicology, Naresuan University, Phitsanulok, Thailand
| | - Nattawut Leelakanok
- Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Burapha University, Chonburi, Thailand
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11
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Ghasemian M, Owlia MB, Mosaddegh MH, nejad MN, Sohrevardi SM. Evaluation of sodium valproate low dose efficacy in radicular pain management and it's relation with pharmacokinetics parameters. Biomedicine (Taipei) 2020; 10:33-40. [PMID: 33854925 PMCID: PMC7721468 DOI: 10.37796/2211-8039.1039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 11/28/2019] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Radiculopathy due to lumbar or cervical disc disease is the most common chronic neuropathic pain in adults. The aim of present study was evaluation of low dose of sodium valproate (VPA) on radicular pain and determining VPA pharmacokinetics. MATERIALS AND METHODS In this double blind randomized placebo control clinical study, 80 patients with established lumbar or cervical radicular pain, have been randomly allocated into two study groups: 40 have received sodium valproate 200 mg/day and Celecoxib 100 mg/day and acetaminophen 500 mg PRN as rescue medication, and second group has received placebo, Celecoxib and acetaminophen. Quantitative assessment of pain was done by visual analogue scale (VAS) prior to perform the intervention and after ten days (treatment duration). Blood sample has been taken for determining mean through concentration after five half-lives. Evaluation of plasma concentration of VPA and that of efficacy on pain score relationship by comparing VAS before and after the therapy was done. RESULTS Group A and B have demonstrated significant alleviation in mean VAS score; -21.97 ± 25.41, -14.39 ± 23.03 respectively (P < 0.001). The mean plasma concentration of VPA in group A was: 26.9 ± 13.5 mg/L. Moreover, no significant correlation was seen between pain score with age, gender, and weight (p > 0.05). CONCLUSION Low dose of sodium valproate especially together with NSAIDs demonstrated good efficacy in lumbar and cervical radicular pain management.
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Affiliation(s)
- Mona Ghasemian
- Department of Clinical Pharmacy, Shahid Sadoughi University of Medical Sciences, Yazd,
Iran
| | - Mohammad Bagher Owlia
- Department of Internal Medicine, Shahid Sadoughi University of Medical Sciences, Yazd,
Iran
| | | | - Masoud Nakhaie nejad
- Department of Pharmaceutical Sciences, Shahid Sadoughi University of Medical Sciences, Yazd,
Iran
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Zhou C, Sui Y, Zhao W, Dong C, Ren L, Song P, Xu B, Sun X. The critical interaction between valproate sodium and warfarin: case report and review. BMC Pharmacol Toxicol 2018; 19:60. [PMID: 30285858 PMCID: PMC6167846 DOI: 10.1186/s40360-018-0251-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 09/26/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Valproic acid (VPA) and warfarin are commonly prescribed for patients with epilepsy and concomitant atrial fibrillation (AF). When VPA and warfarin are prescribed together, clinically important interactions may occur. VPA may replace warfarin from the protein binding sites and result in an abnormally increased anticoagulation effect. This is commonly underrecognized. CASE PRESENTATION In our case, we report a 78-year-old woman with a glioma who presented with status epilepticus. The patient was on warfarin to prevent cardiogenic embolism secondary to AF. Intravenous loading dose of VPA was administered, but international normalized ratio (INR) increased significantly to 8.26. Intravenous vitamin K1 was then given and the patient developed no overt bleeding during the hospitalization. CONCLUSION By reviewing the literature and discussing the critical interaction between valproate sodium and warfarin, we conclude that intravenous VPA and the co-administrated warfarin may develop critical but underrecognized complications due to effects on the function of hepatic enzymes and displacement of protein binding sites.
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Affiliation(s)
- Chenguang Zhou
- Department of Neurology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yi Sui
- Department of Neurology, Shenyang First People's Hospital, Shenyang Brain Institute, Shenyang Medical College Affiliated Shenyang Brain Hospital, Shenyang, China.
| | - Weijin Zhao
- Department of Neurology, Shenyang First People's Hospital, Shenyang Brain Institute, Shenyang Medical College Affiliated Shenyang Brain Hospital, Shenyang, China
| | - Chunyao Dong
- Department of Neurology, Shenyang First People's Hospital, Shenyang Brain Institute, Shenyang Medical College Affiliated Shenyang Brain Hospital, Shenyang, China
| | - Li Ren
- Department of Neurology, Shenyang First People's Hospital, Shenyang Brain Institute, Shenyang Medical College Affiliated Shenyang Brain Hospital, Shenyang, China
| | - Pingmei Song
- Department of Diagnostic Sonography, Shenyang First People's Hospital, Shenyang Brain Institute, Shenyang Medical College Affiliated Shenyang Brain Hospital, Shenyang, China
| | - Bing Xu
- Department of Neurology, Shenyang First People's Hospital, Shenyang Brain Institute, Shenyang Medical College Affiliated Shenyang Brain Hospital, Shenyang, China
| | - Xiaohong Sun
- Department of Neurology, the Fourth Affiliated Hospital, China Medical University, Shenyang, China
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Methaneethorn J. A systematic review of population pharmacokinetics of valproic acid. Br J Clin Pharmacol 2018; 84:816-834. [PMID: 29328514 DOI: 10.1111/bcp.13510] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Revised: 12/26/2017] [Accepted: 01/02/2018] [Indexed: 12/31/2022] Open
Abstract
AIMS Population pharmacokinetics is an essential tool that helps guide individualized dosing regimens. The aims of this systematic review are to provide knowledge concerning population pharmacokinetics of valproic acid (VPA) and to identify factors influencing VPA pharmacokinetic variability. METHODS PubMed and Embase databases were systematically searched from inception to June, 2017. Relevant articles from reference lists were also included. All population pharmacokinetic studies of VPA conducted in humans and that employed a nonlinear mixed effect modelling approach were included in this review. RESULTS Twenty-six studies were included in this review. Most studies characterized VPA pharmacokinetics as a one-compartment model. Three studies reported a two-compartment model. Body weight, dose and age were significant predictors for VPA volume of distribution (Vd ). The estimated Vd for one-compartment models ranged from 8.4 to 23.3 l. For two-compartment models, peripheral volumes of distribution ranged from 4.08 to 42.1 l. Frequently reported significant predictors for VPA clearance (CLVPA ) included body weight, VPA dose, concomitant medications, gender and age. The estimated CLVPA ranged from 0.206 to 1.154 l h-1 and the inter-individual variability ranged from 13.40 to 35.90%. Two studies reported population pharmacokinetics/pharmacodynamics of VPA in patients with epilepsy. Seventeen studies evaluated the performance of their final models. CONCLUSIONS Significant predictors influencing VPA pharmacokinetics as well as model methodologies are highlighted in this review. For clinical application, CLVPA could be predicted using body weight, VPA dose, concomitant medications, gender or age. For future research, there is a knowledge gap regarding population pharmacokinetics/pharmacodynamics of VPA in a population other than epileptic patients.
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Affiliation(s)
- Janthima Methaneethorn
- Pharmacokinetic Research Unit, Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Naresuan University, Phitsanulok, Thailand.,Center of Excellence for Environmental Health and Toxicology, Naresuan University, Phitsanulok, Thailand
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14
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Wen ZP, Fan SS, Du C, Yin T, Zhou BT, Peng ZF, Xie YY, Zhang W, Chen Y, Xiao J, Chen XP. Drug-drug interaction between valproic acid and meropenem: a retrospective analysis of electronic medical records from neurosurgery inpatients. J Clin Pharm Ther 2017; 42:221-227. [PMID: 28145574 DOI: 10.1111/jcpt.12501] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2016] [Accepted: 12/09/2016] [Indexed: 11/29/2022]
Affiliation(s)
- Z.-P. Wen
- Department of Clinical Pharmacology; Xiangya Hospital; Central South University; Changsha Hunan China
- Hunan Key Laboratory of Pharmacogenetics; Institute of Clinical Pharmacology; Central South University; Changsha Hunan China
- Cooperative Innovation Center for Molecular Target New Drug Study; University of South China; Hengyang Hunan China
| | - S.-S. Fan
- Department of Neurosurgery; Xiangya Hospital; Central South University; Changsha Hunan China
| | - C. Du
- Department of Neurosurgery; Xiangya Hospital; Central South University; Changsha Hunan China
| | - T. Yin
- Department of Pharmacy; Xiangya Hospital; Central South University; Changsha Hunan China
| | - B.-T. Zhou
- Department of Pharmacy; Xiangya Hospital; Central South University; Changsha Hunan China
| | - Z.-F. Peng
- Department of Neurosurgery; Xiangya Hospital; Central South University; Changsha Hunan China
| | - Y.-Y. Xie
- Department of Neurosurgery; Xiangya Hospital; Central South University; Changsha Hunan China
| | - W. Zhang
- Department of Clinical Pharmacology; Xiangya Hospital; Central South University; Changsha Hunan China
- Hunan Key Laboratory of Pharmacogenetics; Institute of Clinical Pharmacology; Central South University; Changsha Hunan China
- Cooperative Innovation Center for Molecular Target New Drug Study; University of South China; Hengyang Hunan China
| | - Y. Chen
- Department of Clinical Pharmacology; Xiangya Hospital; Central South University; Changsha Hunan China
- Hunan Key Laboratory of Pharmacogenetics; Institute of Clinical Pharmacology; Central South University; Changsha Hunan China
| | - J. Xiao
- Department of Pharmacy; Xiangya Hospital; Central South University; Changsha Hunan China
| | - X.-P. Chen
- Department of Clinical Pharmacology; Xiangya Hospital; Central South University; Changsha Hunan China
- Hunan Key Laboratory of Pharmacogenetics; Institute of Clinical Pharmacology; Central South University; Changsha Hunan China
- Cooperative Innovation Center for Molecular Target New Drug Study; University of South China; Hengyang Hunan China
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A single low dose of valproic acid in late prenatal life alters postnatal behavior and glutamic acid decarboxylase levels in the mouse. Behav Brain Res 2016; 314:190-8. [PMID: 27498245 DOI: 10.1016/j.bbr.2016.08.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Revised: 08/01/2016] [Accepted: 08/03/2016] [Indexed: 12/25/2022]
Abstract
RATIONALE Rodents exposed to valproic acid (VPA) in prenatal life exhibit post-natal characteristics analogous to autism spectrum disorder (ASD). Many previous studies used relatively high doses of VPA during early pregnancy, potentially confounding interpretation because the offspring are the 'survivors' of a toxic insult. Low dose or late gestation exposure has not been widely studied. OBJECTIVES We examined the behavioral sequelae of late gestation exposure to low dose VPA in the mouse. We also examined postnatal levels of glutamic acid decarboxylase (GAD65 and GAD67) as markers for GABA neurons, because GABA pathology and subsequent excitatory/inhibitory imbalance is strongly implicated in ASD. METHODS Pregnant C57BL/6N mice received a single subcutaneous injection of 100 or 200mg/kg on gestation day 17. The control group received a saline injection on the same day. The offspring were tested in a battery of behavioral tests in adolescence and adulthood. Six brain regions were harvested and GAD65 and GAD67 were measured by western blotting. RESULTS Compared to saline-exposed controls, adult mice exposed to prenatal VPA had impaired novel object exploration and fear conditioning anomalies. GAD67 was decreased in midbrain, olfactory bulb, prefrontal cortex and increased in cerebellum, hippocampus and striatum; GAD65 was decreased in all 6 regions. CONCLUSIONS Our results suggest that a low dose of VPA in late pregnancy has persistent effects on brain development, and in particular the GABA system, which may be relevant to ASD. Further attention to the impact of gestation time and dose of exposure in VPA-induced ASD models is encouraged.
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Wen ZP, Fan SS, Du C, Yin T, Zhou BT, Peng ZF, Xie YY, Zhang W, Chen Y, Tang J, Xiao J, Chen XP. Influence of acylpeptide hydrolase polymorphisms on valproic acid level in Chinese epilepsy patients. Pharmacogenomics 2016; 17:1219-1225. [PMID: 27406852 DOI: 10.2217/pgs-2016-0030] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Concomitant use of meropenem (MEPM) can dramatically decrease valproic acid (VPA) plasma level. It is accepted that inhibition in acylpeptide hydrolase (APEH) activity by MEPM coadministration was the trigger of this drug-drug interaction. AIM To investigate the influence of APEH genetic polymorphisms on VPA plasma concentration in Chinese epilepsy patients. PATIENTS & METHODS Urinary VPA-d6 β-D-glucuronide concentration was determined in 19 patients with VPA treatment alone (n = 10) or concomitant use with MEPM (n = 9). A retrospective study was performed on 149 epilepsy patients to investigate the influence of APEH polymorphisms rs3816877 and rs1131095 on adjusted plasma VPA concentration (CVPA) at steady-state. RESULTS Urinary VPA-d6 β-D-glucuronide (VPA-G) concentration was increased significantly in patients with MEPM coadministration. The CVPA of patients carrying the APEH rs3816877 C/C genotype was significantly higher than that of C/T carriers, and the difference was still obvious when stratified by UGT2B7 rs7668258 polymorphism. CONCLUSION APEH polymorphism has significant influence on VPA pharmacokinetics in Chinese population.
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Affiliation(s)
- Zhi Peng Wen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, Hunan, PR China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, Hunan, PR China.,Cooperative Innovation Center for Molecular Target New Drug Study, University of South China, Hengyang 421001, Hunan, PR China
| | - Shuang Shi Fan
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan, PR China
| | - Can Du
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan, PR China
| | - Tao Yin
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha 410008, Hunan, PR China
| | - Bo Ting Zhou
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha 410008, Hunan, PR China
| | - Ze Feng Peng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan, PR China
| | - Yuan Yang Xie
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan, PR China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, Hunan, PR China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, Hunan, PR China.,Cooperative Innovation Center for Molecular Target New Drug Study, University of South China, Hengyang 421001, Hunan, PR China
| | - Yao Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, Hunan, PR China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, Hunan, PR China
| | - Jie Tang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, Hunan, PR China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, Hunan, PR China
| | - Jian Xiao
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha 410008, Hunan, PR China
| | - Xiao Ping Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, Hunan, PR China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, Hunan, PR China.,Cooperative Innovation Center for Molecular Target New Drug Study, University of South China, Hengyang 421001, Hunan, PR China
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Sex related differences on valproic acid pharmacokinetics after oral single dose. J Pharmacokinet Pharmacodyn 2013; 40:479-86. [DOI: 10.1007/s10928-013-9323-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2013] [Accepted: 06/07/2013] [Indexed: 01/23/2023]
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18
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Haroutiunian S, Ratz Y, Rabinovich B, Adam M, Hoffman A. Valproic Acid Plasma Concentration Decreases in a Dose-Independent Manner Following Administration of Meropenem: A Retrospective Study. J Clin Pharmacol 2013; 49:1363-9. [DOI: 10.1177/0091270009334377] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Abstract
PURPOSE OF REVIEW Various antiepileptics, sedative and anesthetic agents are used in the neurocritical care setting and therapeutic drug monitoring (TDM) has been proposed as a means to individualize dosing to ensure efficacy, avoid toxicity, and to account for drug-drug interactions. The purpose of this review is to highlight key articles relating to TDM published in the last 5 years with a focus on drug therapy for seizures, status epilepticus, and traumatic brain injury. RECENT FINDINGS Current evidence supports TDM of first-generation antiepileptics, and free-level monitoring for phenytoin and valproic acid is recommended in the neurocritical care population. There are insufficient data to recommend routine TDM of second-generation antiepileptics at this time. In traumatic brain injury, routine TDM of barbiturate infusions appears to be of little value in guiding or evaluating patient response to therapy except to differentiate between drug-induced coma and brain death. Although TDM of sedative agents has been studied, the use of clinical sedation scales is preferred over TDM in evaluating a patient's level of sedation. SUMMARY Therapeutic drug monitoring plays an important role in the care of patients in the neurocritical care setting but is applicable only to a limited number of drugs.
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Clinical Utility of Free Drug Monitoring. Ther Drug Monit 2012. [DOI: 10.1016/b978-0-12-385467-4.00004-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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Williams JH, Jayaraman B, Swoboda KJ, Barrett JS. Population pharmacokinetics of valproic acid in pediatric patients with epilepsy: considerations for dosing spinal muscular atrophy patients. J Clin Pharmacol 2011; 52:1676-88. [PMID: 22167565 DOI: 10.1177/0091270011428138] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Valproic acid (VPA) dosing strategies used in recent clinical trials in patients with spinal muscular atrophy (SMA) have utilized a paradigm of monitoring trough levels to estimate drug exposure with subsequent dose titration. The validity of this approach remains uncertain and could be improved by understanding sources of pharmacokinetic variability. A population pharmacokinetic analysis of VPA in pediatric patients with epilepsy was recently performed. The pooled data set included 52 subjects with epilepsy, ages 1 to 17 years, who received intravenous and/or various oral formulations. The data was best fit by a 2-compartment model; inclusion of age and weight reduced intersubject variability for clearance (41%), central volume (70%), and peripheral volume (42%) over the base model. The final model for clearance and volume parameters was clearance = 0.854 · (weight/70)(0.75); central volume of distribution = 10.3 · (weight/70)(1.0) · (age/8.5)(-0.267); peripheral volume of distribution = 4.08 · (weight/70)(1.0); and intercompartmental clearance = 5.34 · (weight/70)(0.75). Application of the model to data from a clinical trial in SMA patients suggests altered kinetics, perhaps based on underlying physiologic differences such as alterations in lean body mass. Future studies in SMA should incorporate modeling and simulation techniques to support individualized dosing and further assess if additional patient-specific factors necessitate alternative dosing strategies.
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Abstract
Measurement of drug concentrations in biological samples is of utmost importance in many research areas. The information about the amount of drug in a biological sample can be given as either total concentration, which ignores the interaction of the drug with the sample matrix, or as free concentration, which shows the portion of molecules able to diffuse through membranes and exert biological activity. Although the historical trend has been towards determining total concentrations, measurement of free concentrations is becoming more important since it correlates better with pharmacological and toxicological effects. This review will discuss the most popular experimental approaches for monitoring free drug concentrations, based on the type of sample to be investigated and the kind of information to be collected. It is shown that the current challenges in measuring free concentrations are: convenience, accuracy, precision, wide applicability, availability of accurate and precise reference methods, ruggedness, and standardized sample conditions.
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Ueshima S, Aiba T, Sato T, Matsunaga H, Kurosaki Y, Ohtsuka Y, Sendo T. Empirical Approach for Improved Estimation of Unbound Serum Concentrations of Valproic Acid in Epileptic Infants by Considering Their Physical Development. Biol Pharm Bull 2011; 34:108-13. [DOI: 10.1248/bpb.34.108] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Satoshi Ueshima
- Department of Hospital Pharmacy, Okayama University Hospital
- Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
| | - Tetsuya Aiba
- Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
| | - Tomoaki Sato
- Department of Hospital Pharmacy, Okayama University Hospital
| | - Hisashi Matsunaga
- Department of Hospital Pharmacy, Okayama University Hospital
- Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
| | - Yuji Kurosaki
- Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
| | - Yoko Ohtsuka
- Department of Child Neurology, Okayama University Hospital
| | - Toshiaki Sendo
- Department of Hospital Pharmacy, Okayama University Hospital
- Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
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DeWolfe JL, Knowlton RC, Beasley MT, Cofield S, Faught E, Limdi NA. Hyperammonemia following intravenous valproate loading. Epilepsy Res 2009; 85:65-71. [DOI: 10.1016/j.eplepsyres.2009.02.012] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2008] [Revised: 02/05/2009] [Accepted: 02/08/2009] [Indexed: 11/29/2022]
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