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Oda K, Saito H, Jono H. Bayesian prediction-based individualized dosing of anti-methicillin-resistant Staphylococcus aureus treatment: Recent advancements and prospects in therapeutic drug monitoring. Pharmacol Ther 2023; 246:108433. [PMID: 37149156 DOI: 10.1016/j.pharmthera.2023.108433] [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: 12/26/2022] [Revised: 04/19/2023] [Accepted: 05/02/2023] [Indexed: 05/08/2023]
Abstract
As one of the efficient techniques for TDM, the population pharmacokinetic (popPK) model approach for dose individualization has been developed due to the rapidly growing innovative progress in computer technology and has recently been considered as a part of model-informed precision dosing (MIPD). Initial dose individualization and measurement followed by maximum a posteriori (MAP)-Bayesian prediction using a popPK model are the most classical and widely used approach among a class of MIPD strategies. MAP-Bayesian prediction offers the possibility of dose optimization based on measurement even before reaching a pharmacokinetically steady state, such as in an emergency, especially for infectious diseases requiring urgent antimicrobial treatment. As the pharmacokinetic processes in critically ill patients are affected and highly variable due to pathophysiological disturbances, the advantages offered by the popPK model approach make it highly recommended and required for effective and appropriate antimicrobial treatment. In this review, we focus on novel insights and beneficial aspects of the popPK model approach, especially in the treatment of infectious diseases with anti-methicillin-resistant Staphylococcus aureus agents represented by vancomycin, and discuss the recent advancements and prospects in TDM practice.
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Affiliation(s)
- Kazutaka Oda
- Department of Pharmacy, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, Japan
| | - Hideyuki Saito
- Department of Pharmacy, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, Japan; Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University; 1-1-1, Honjo, Chuo-ku, Kumamoto, Japan
| | - Hirofumi Jono
- Department of Pharmacy, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, Japan; Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University; 1-1-1, Honjo, Chuo-ku, Kumamoto, Japan.
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Developmental Pharmacokinetics of Antibiotics Used in Neonatal ICU: Focus on Preterm Infants. Biomedicines 2023; 11:biomedicines11030940. [PMID: 36979919 PMCID: PMC10046592 DOI: 10.3390/biomedicines11030940] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/22/2023] Open
Abstract
Neonatal Infections are among the most common reasons for admission to the intensive care unit. Neonatal sepsis (NS) significantly contributes to mortality rates. Empiric antibiotic therapy of NS recommended by current international guidelines includes benzylpenicillin, ampicillin/amoxicillin, and aminoglycosides (gentamicin). The rise of antibacterial resistance precipitates the growth of the use of antibiotics of the Watch (second, third, and fourth generations of cephalosporines, carbapenems, macrolides, glycopeptides, rifamycins, fluoroquinolones) and Reserve groups (fifth generation of cephalosporines, oxazolidinones, lipoglycopeptides, fosfomycin), which are associated with a less clinical experience and higher risks of toxic reactions. A proper dosing regimen is essential for effective and safe antibiotic therapy, but its choice in neonates is complicated with high variability in the maturation of organ systems affecting drug absorption, distribution, metabolism, and excretion. Changes in antibiotic pharmacokinetic parameters result in altered efficacy and safety. Population pharmacokinetics can help to prognosis outcomes of antibiotic therapy, but it should be considered that the neonatal population is heterogeneous, and this heterogeneity is mainly determined by gestational and postnatal age. Preterm neonates are common in clinical practice, and due to the different physiology compared to the full terms, constitute a specific neonatal subpopulation. The objective of this review is to summarize the evidence about the developmental changes (specific for preterm and full-term infants, separately) of pharmacokinetic parameters of antibiotics used in neonatal intensive care units.
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Chen C, Xie M, Gong J, Yu N, Wei R, Lei L, Zhao S, Li R, Dong X, Zhang X, Zhou Y, Li S, Cui Y. Population pharmacokinetic analysis and dosing regimen optimization of teicoplanin in critically ill patients with sepsis. Front Pharmacol 2023; 14:1132367. [PMID: 37188268 PMCID: PMC10175687 DOI: 10.3389/fphar.2023.1132367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/13/2023] [Indexed: 05/17/2023] Open
Abstract
Objectives: Teicoplanin has been extensively used in the treatment for infections caused by gram-positive bacteria including methicillin-resistant Staphylococcus aureus (MRSA). However, current teicoplanin treatment is challenging due to relatively low and variable concentrations under standard dosage regimens. This study aimed to investigate the population pharmacokinetics (PPK) characteristics of teicoplanin in adult sepsis patients and provide recommendations for optimal teicoplanin dosing regimens. Methods: A total of 249 serum concentration samples from 59 septic patients were prospectively collected in the intensive care unit (ICU). Teicoplanin concentrations were detected, and patients' clinical data were recorded. PPK analysis was performed using a non-linear, mixed-effect modeling approach. Monte Carlo simulations were performed to evaluate currently recommended dosing and other dosage regimens. The optimal dosing regimens were defined and compared by different pharmacokinetic/pharmacodynamic parameters, including trough concentration (Cmin), the ratio of 24-h area under the concentration-time curve to the minimum inhibitory concentration (AUC0-24/MIC), as well as the probability of target attainment (PTA) and the cumulative fraction of response (CFR) against MRSA. Results: A two-compartment model adequately described the data. The final model parameter estimates for clearance, central compartment volume of distribution, intercompartmental clearance and peripheral compartment volume were 1.03 L/h, 20.1 L, 3.12 L/h and 101 L, respectively. Glomerular filtration rate (GFR) was the only covariate that significantly affected teicoplanin clearance. Model-based simulations revealed that 3 or 5 loading doses of 12/15 mg/kg every 12 h followed by a maintenance dose of 12/15 mg/kg every 24 h-72 h for patients with different renal functions were required to achieve a target Cmin of 15 mg/L and a target AUC0-24/MIC of 610. For MRSA infections, PTAs and CFRs were not satisfactory for simulated regimens. Prolonging the dosing interval may be easier to achieve the target AUC0-24/MIC than reducing the unit dose for renal insufficient patients. Conclusion: A PPK model for teicoplanin in adult septic patients was successfully developed. Model-based simulations revealed that current standard doses may result in undertherapeutic Cmin and AUC, and a single dose of at least 12 mg/kg may be needed. AUC0-24/MIC should be preferred as the PK/PD indicator of teicoplanin, if AUC estimation is unavailable, in addition to routine detection of teicoplanin Cmin on Day 4, follow-up therapeutic drug monitoring at steady-state is recommended.
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Affiliation(s)
- Chao‐Yang Chen
- Department of Pharmacy, Peking University First Hospital, Beijing, China
| | - Min Xie
- Department of Critical Care Medicine, Peking University First Hospital, Beijing, China
| | - Jun Gong
- Department of Pharmacy, Peking University First Hospital, Beijing, China
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China
| | - Ning Yu
- Department of Pharmacy, China-Japan Friendship Hospital, Beijing, China
| | - Ran Wei
- Department of Pharmacy, Peking University First Hospital, Beijing, China
| | - Li‐Li Lei
- Department of Pharmacy, Peking University First Hospital, Beijing, China
| | - Si‐Miao Zhao
- Department of Pharmacy, Peking University First Hospital, Beijing, China
| | - Ruo‐Ming Li
- Department of Pharmacy, Peking University First Hospital, Beijing, China
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China
| | - Xiu Dong
- Department of Pharmacy, Peking University First Hospital, Beijing, China
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China
| | - Xiang‐Lin Zhang
- Department of Pharmacy, China-Japan Friendship Hospital, Beijing, China
| | - Ying Zhou
- Department of Pharmacy, Peking University First Hospital, Beijing, China
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China
| | - Shuang‐Ling Li
- Department of Critical Care Medicine, Peking University First Hospital, Beijing, China
- *Correspondence: Shuang‐Ling Li, ; Yi‐Min Cui,
| | - Yi‐Min Cui
- Department of Pharmacy, Peking University First Hospital, Beijing, China
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China
- Institute of Clinical Pharmacology, Peking University, Beijing, China
- *Correspondence: Shuang‐Ling Li, ; Yi‐Min Cui,
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Simeoli R, Cairoli S, Decembrino N, Campi F, Dionisi Vici C, Corona A, Goffredo BM. Use of Antibiotics in Preterm Newborns. Antibiotics (Basel) 2022; 11:antibiotics11091142. [PMID: 36139921 PMCID: PMC9495226 DOI: 10.3390/antibiotics11091142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/19/2022] [Accepted: 08/21/2022] [Indexed: 11/16/2022] Open
Abstract
Due to complex maturational and physiological changes that characterize neonates and affect their response to pharmacological treatments, neonatal pharmacology is different from children and adults and deserves particular attention. Although preterms are usually considered part of the neonatal population, they have physiological and pharmacological hallmarks different from full-terms and, therefore, need specific considerations. Antibiotics are widely used among preterms. In fact, during their stay in neonatal intensive care units (NICUs), invasive procedures, including central catheters for parental nutrition and ventilators for respiratory support, are often sources of microbes and require antimicrobial treatments. Unfortunately, the majority of drugs administered to neonates are off-label due to the lack of clinical studies conducted on this special population. In fact, physiological and ethical concerns represent a huge limit in performing pharmacokinetic (PK) studies on these subjects, since they limit the number and volume of blood sampling. Therapeutic drug monitoring (TDM) is a useful tool that allows dose adjustments aiming to fit plasma concentrations within the therapeutic range and to reach specific drug target attainment. In this review of the last ten years’ literature, we performed Pubmed research aiming to summarize the PK aspects for the most used antibiotics in preterms.
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Affiliation(s)
- Raffaele Simeoli
- Division of Metabolic Diseases and Drug Biology, Bambino Gesù Children’s Hospital, IRCCS, 00146 Rome, Italy
| | - Sara Cairoli
- Division of Metabolic Diseases and Drug Biology, Bambino Gesù Children’s Hospital, IRCCS, 00146 Rome, Italy
| | - Nunzia Decembrino
- Neonatal Intensive Care Unit, University Hospital “Policlinico-San Marco” Catania, Integrated Department for Maternal and Child’s Health Protection, 95100 Catania, Italy
| | - Francesca Campi
- Neonatal Intensive Care Unit, Medical and Surgical Department of Fetus-Newborn-Infant, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy
| | - Carlo Dionisi Vici
- Division of Metabolic Diseases and Drug Biology, Bambino Gesù Children’s Hospital, IRCCS, 00146 Rome, Italy
| | - Alberto Corona
- ICU and Accident & Emergency Department, ASST Valcamonica, 25043 Breno, Italy
| | - Bianca Maria Goffredo
- Division of Metabolic Diseases and Drug Biology, Bambino Gesù Children’s Hospital, IRCCS, 00146 Rome, Italy
- Correspondence: ; Tel.: +39-0668592174; Fax: + 39-0668593009
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Yamada T, Emoto C, Fukuda T, Motomura Y, Inoue H, Ohga S, Ieiri I. Optimal Teicoplanin Dosing Regimen in Neonates and Children Developed by Leveraging Real-World Clinical Information. Ther Drug Monit 2022; 44:404-413. [PMID: 34629445 DOI: 10.1097/ftd.0000000000000930] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 09/15/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Teicoplanin is a glycopeptide antibiotic used for the treatment of methicillin-resistant Staphylococcus aureus infections. To ensure successful target attainment, therapeutic drug monitoring-informed dosage adjustment is recommended. However, it relies on the experience of the clinician and the frequency of drug measurements. This study aimed to design a new optimal dosing regimen of teicoplanin with a maintenance dosing strategy for neonates and children based on their physiological characteristics. METHODS Data from teicoplanin-treated patients (n = 214) were collected from electronic medical records. Covariate analyses were performed using population pharmacokinetic (PK) modeling with 399 serum teicoplanin concentrations from 48 neonates and 166 children. Multiple PK simulations were conducted to explore optimal dosing regimens that would allow control of the trough concentration to the target of 15-30 mg/L quicker than the current standard regimen. RESULTS Allometrically scaled body weight, postmenstrual age (PMA), renal function, and serum albumin were implemented as substantial covariates for teicoplanin clearance in a two-compartment PK model. Covariate analyses and comprehensive simulation assessments recommended the following modifications to the current regimen: (1) decreased dose for premature babies (PMA ≤28 weeks), (2) decreased dose for children with renal dysfunction, and (3) increased dose for children (0.5-11 years) with an estimated glomerular filtration rate of ≥90 mL/min/1.73 m2. CONCLUSIONS This study leverages real-world clinical information and proposes new optimal dosing regimens for teicoplanin in neonates and children through PK modeling and simulation analyses, taking into account the age, including PMA, and renal function of patients.
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Affiliation(s)
- Takaaki Yamada
- Department of Pharmacy, Kyushu University Hospital, Fukuoka, Japan
| | - Chie Emoto
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University
| | - Tsuyoshi Fukuda
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University
- National Center for Child Health and Development, Tokyo, Japan; and
| | - Yoshitomo Motomura
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hirosuke Inoue
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shouichi Ohga
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Ichiro Ieiri
- Department of Pharmacy, Kyushu University Hospital, Fukuoka, Japan
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Hanai Y, Takahashi Y, Niwa T, Mayumi T, Hamada Y, Kimura T, Matsumoto K, Fujii S, Takesue Y. Clinical practice guidelines for therapeutic drug monitoring of teicoplanin: a consensus review by the Japanese Society of Chemotherapy and the Japanese Society of Therapeutic Drug Monitoring. J Antimicrob Chemother 2022; 77:869-879. [PMID: 35022752 PMCID: PMC8969460 DOI: 10.1093/jac/dkab499] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Background Owing to its low risk of adverse effects, teicoplanin has been extensively used in patients with infections caused by MRSA. To promote the better management of patients receiving teicoplanin, we have updated the guidelines for therapeutic drug monitoring (TDM). Methods The guidelines were developed by a committee following the methodology handbook published by the Japanese Medical Information Distribution Service. Nine clinical questions were selected. The committee conducted a systematic review and meta-analysis to establish evidence-based recommendations for the target trough concentration (Cmin). An initial electronic database search returned 515 articles, and 97 articles qualified for a full review. Four and five studies were included for the efficacy evaluation of cut-off Cmin values of 15 and 20 mg/L, respectively. Results Compared with Cmin < 15 mg/L, a target Cmin value of 15–30 mg/L resulted in increased clinical efficacy in patients with non-complicated MRSA infections (OR = 2.68; 95% CI = 1.14–6.32) without an increase in adverse effects. Although there was insufficient evidence, target Cmin values of 20–40 mg/L were suggested in patients with complicated or serious MRSA infections. A 3 day loading regimen followed by maintenance treatment according to renal function was recommended to achieve the target trough concentrations. Because of the prolonged half-life of teicoplanin, measurement of the Cmin value on Day 4 before reaching steady state was recommended. Conclusions The new guideline recommendations indicate the target Cmin value for TDM and the dosage regimen to achieve this concentration and suggest practices for specific subpopulations.
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Affiliation(s)
- Yuki Hanai
- Department of Pharmacy, Toho University Omori Medical Center, Tokyo, Japan
| | - Yoshiko Takahashi
- Department of Pharmacy, Hyogo College of Medicine, Nishinomiya, Japan
| | - Takashi Niwa
- Department of Pharmacy, Gifu University Hospital, Gifu, Japan
| | - Toshihiko Mayumi
- Department of Emergency Medicine, School of Medicine, University of Occupational and Environmental Health, Fukuoka, Japan
| | - Yukihiro Hamada
- Department of Pharmacy, Tokyo Women's Medical University Hospital, Tokyo, Japan
| | - Toshimi Kimura
- Department of Pharmacy, Tokyo Women's Medical University Hospital, Tokyo, Japan
| | - Kazuaki Matsumoto
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy, Tokyo, Japan
| | - Satoshi Fujii
- Department of Hospital Pharmacy, Sapporo Medical University Hospital, Hokkaido, Japan
| | - Yoshio Takesue
- Department of Infection Control and Prevention, Hyogo College of Medicine, Nishinomiya, Japan
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Wei X, Zhao M, Xiao X. Optimization of dosing regimens of vancomycin, teicoplanin, linezolid and daptomycin against methicillin-resistant Staphylococcus aureus in neutropenic patients with cancer by Monte Carlo simulations. J Chemother 2021; 33:547-553. [PMID: 34080519 DOI: 10.1080/1120009x.2021.1931758] [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: 10/21/2022]
Abstract
The objective of this study was to evaluate the efficacy of various dosing regimens of vancomycin, teicoplanin, linezolid and daptomycin against methicillin-resistant Staphylococcus aureus (MRSA) in neutropenic patients with cancer. Monte Carlo simulations were conducted using pharmacokinetic parameters and pharmacodynamic data to determine cumulative fraction of response (CFRs) in terms of area under the concentration-time curve/minimum inhibition concentration target. Currently clinical standard dosing regimens of vancomycin, teicoplanin, linezolid and daptomycin were insufficient to provide expected CFRs against MRSA for neutropenic patients with cancer. The high dosing regimens of vancomycin (3500 mg/d), teicoplanin (800 mg/d) and daptomycin (8 mg/kg/d) could provide CFRs of ≥ 80%, showing a higher treatment success. However, the majority of CFRs with linezolid simulated dosing regimens reached < 80% against MRSA. Therefore, a strategy of high dosages of vancomycin, teicoplanin and daptomycin may be needed to attain optimal therapeutic efficacy against MRSA in neutropenic patients with cancer.
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Affiliation(s)
- Xiaochen Wei
- Department of Pharmacy, Tianjin First Central Hospital, Tianjin, PR China
| | - Mingfeng Zhao
- Department of Hematology, Tianjin First Central Hospital, Tianjin, PR China
| | - Xia Xiao
- Department of Hematology, Tianjin First Central Hospital, Tianjin, PR China
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Aulin LBS, De Paepe P, Dhont E, de Jaeger A, Vande Walle J, Vandenberghe W, McWhinney BC, Ungerer JPJ, van Hasselt JGC, De Cock PAJG. Population Pharmacokinetics of Unbound and Total Teicoplanin in Critically Ill Pediatric Patients. Clin Pharmacokinet 2020; 60:353-363. [PMID: 33030704 DOI: 10.1007/s40262-020-00945-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/16/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND AND OBJECTIVES Teicoplanin is a highly protein-bound antibiotic, increasingly used to treat serious Gram-positive infections in critically ill children. Maturational and pathophysiological intensive care unit-related changes often lead to altered pharmacokinetics. In this study, the objectives were to develop a pediatric population-pharmacokinetic model of unbound and total teicoplanin concentrations, to investigate the impact of plasma albumin levels and renal function on teicoplanin pharmacokinetics, and to evaluate the efficacy of the current weight-based dosing regimen. METHODS An observational pharmacokinetic study was performed and blood samples were collected for quantification of unbound and total concentrations of teicoplanin after the first dose and in assumed steady-state conditions. A population-pharmacokinetic analysis was conducted using a standard sequential approach and Monte Carlo simulations were performed for a probability of target attainment analysis using previously published pharmacokinetic-pharmacodynamic targets. RESULTS A two-compartment model with allometric scaling of pharmacokinetic parameters and non-linear plasma protein binding best described the data. Neither the inclusion of albumin nor the renal function significantly improved the model and no other covariates were supported for inclusion in the final model. The probability of target attainment analysis showed that the standard dosing regimen does not satisfactory attain the majority of the proposed targets. CONCLUSIONS We successfully characterized the pharmacokinetics of unbound and total teicoplanin in critically ill pediatric patients. The highly variable unbound fraction of teicoplanin could not be predicted using albumin levels, which may support the use of therapeutic drug monitoring of unbound concentrations. Poor target attainment was shown for the most commonly used dosing regimen, regardless of the pharmacokinetic-pharmacodynamic target evaluated.
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Affiliation(s)
- L B S Aulin
- Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - P De Paepe
- Heymans Institute of Pharmacology, Ghent University, Ghent, Belgium
| | - E Dhont
- Department of Pediatric Intensive Care, Ghent University Hospital, Ghent, Belgium
| | - A de Jaeger
- Department of Pediatric Intensive Care, Ghent University Hospital, Ghent, Belgium
| | - J Vande Walle
- Department of Pediatric Nephrology, Ghent University Hospital, Ghent, Belgium
| | - W Vandenberghe
- Department of Pediatric Intensive Care, Ghent University Hospital, Ghent, Belgium
| | - B C McWhinney
- Department of Chemical Pathology, Pathology Queensland, Brisbane, QLD, Australia
| | - J P J Ungerer
- Department of Chemical Pathology, Pathology Queensland, Brisbane, QLD, Australia.,School of Biomedical Sciences, University of Queensland, Brisbane, QLD, Australia
| | - J G C van Hasselt
- Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - P A J G De Cock
- Heymans Institute of Pharmacology, Ghent University, Ghent, Belgium. .,Department of Pediatric Intensive Care, Ghent University Hospital, Ghent, Belgium. .,Department of Pharmacy, Ghent University Hospital, De Pintelaan 185, 9000, Ghent, Belgium.
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