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Nguyen TA, Kirubakaran R, Schultz HB, Wong S, Reuter SE, McMullan B, Bolisetty S, Campbell C, Horvath AR, Stocker SL. Analytical and Non-Analytical Variation May Lead to Inappropriate Antimicrobial Dosing in Neonates: An In Silico Study. Clin Chem 2023:7146664. [PMID: 37116191 DOI: 10.1093/clinchem/hvad036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 03/01/2023] [Indexed: 04/30/2023]
Abstract
BACKGROUND Therapeutic drug monitoring (TDM) of aminoglycosides and vancomycin is used to prevent oto- and nephrotoxicity in neonates. Analytical and nonanalytical factors potentially influence dosing recommendations. This study aimed to determine the impact of analytical variation (imprecision and bias) and nonanalytical factors (accuracy of drug administration time, use of non-trough concentrations, biological variation, and dosing errors) on neonatal antimicrobial dosing recommendations. METHODS Published population pharmacokinetic models and the Australasian Neonatal Medicines Formulary were used to simulate antimicrobial concentration-time profiles in a virtual neonate population. Laboratory quality assurance data were used to quantify analytical variation in antimicrobial measurement methods used in clinical practice. Guideline-informed dosing recommendations based on drug concentrations were applied to compare the impact of analytical variation and nonanalytical factors on antimicrobial dosing. RESULTS Analytical variation caused differences in subsequent guideline-informed dosing recommendations in 9.3-12.1% (amikacin), 16.2-19.0% (tobramycin), 12.2-45.8% (gentamicin), and 9.6-19.5% (vancomycin) of neonates. For vancomycin, inaccuracies in drug administration time (45.6%), use of non-trough concentrations (44.7%), within-subject biological variation (38.2%), and dosing errors (27.5%) were predicted to result in more dosing discrepancies than analytical variation (12.5%). Using current analytical performance specifications, tolerated dosing discrepancies would be up to 14.8% (aminoglycosides) and 23.7% (vancomycin). CONCLUSIONS Although analytical variation can influence neonatal antimicrobial dosing recommendations, nonanalytical factors are more influential. These result in substantial variation in subsequent dosing of antimicrobials, risking inadvertent under- or overexposure. Harmonization of measurement methods and improved patient management systems may reduce the impact of analytical and nonanalytical factors on neonatal antimicrobial dosing.
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Affiliation(s)
- Thi A Nguyen
- School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Ranita Kirubakaran
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Department of Clinical Pharmacology and Toxicology, St. Vincent's Hospital, Sydney, NSW, Australia
- Seberang Jaya Hospital, Penang, Malaysia
| | - Hayley B Schultz
- UniSA: Clinical & Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Sherilyn Wong
- UniSA: Clinical & Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Stephanie E Reuter
- UniSA: Clinical & Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Brendan McMullan
- Department of Immunology and Infectious Diseases, Sydney Children's Hospital, Randwick, NSW, Australia
- Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Srinivas Bolisetty
- Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Craig Campbell
- NSW Health Pathology, Department of Chemical Pathology, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Andrea R Horvath
- Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- NSW Health Pathology, Department of Chemical Pathology, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Sophie L Stocker
- School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Department of Clinical Pharmacology and Toxicology, St. Vincent's Hospital, Sydney, NSW, Australia
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2
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Alrahahleh D, Xu S, Luig M, Kim HY, Alffenaar JW. Dosing of vancomycin and target attainment in neonates: a systematic review. Int J Antimicrob Agents 2022; 59:106515. [PMID: 35031450 DOI: 10.1016/j.ijantimicag.2021.106515] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 12/03/2021] [Accepted: 12/22/2021] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Neonatal infections caused by Gram-positive bacteria are commonly treated with vancomycin. However, there is a lack of agreement on the optimal vancomycin dosing regimen and corresponding vancomycin exposure to correlate with efficacy and toxicity. OBJECTIVES This review aimed to evaluate dosing of vancomycin in neonates, therapeutic target attainment and clinical toxicity and efficacy outcomes. METHODS Two electronic databases - Embase and PubMed (Medline) - were systematically searched between 1995-2020. Studies that reported dosing regimens, drug concentrations, toxicity, and efficacy of vancomycin in neonates were eligible for inclusion. Descriptive analysis and a narrative synthesis were performed. RESULTS The systematic review protocol was registered with the PROSPERO International Prospective Register of Systematic reviews in 2020 (registration number: CRD42020219568). Twenty-four studies were included for final analysis. Overall, the data from the included studies showed a great degree of heterogeneity. Therapeutic drug monitoring practices were different between institutions. Although most studies used trough concentration with a target range of 10-20 mg/L, target attainment was different across the studies. The probability of target attainment was < 80% in all tested dosing algorithms. Few studies reported on vancomycin efficacy and toxicity. CONCLUSION This is a comprehensive overview of dosing strategies of vancomycin in neonates. There was inadequate evidence to propose an optimal therapeutic regimen in the newborn population, based on the data obtained, due to the heterogeneity in the design and objectives of the included studies. Consistent and homogeneous comparative randomised clinical trials are needed to identify a dosing regimen with a probability of target attainment of > 90% without toxicity.
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Affiliation(s)
- Dua'A Alrahahleh
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia; Westmead Hospital, Westmead, NSW, Australia
| | - Sophia Xu
- Department of Pharmacy, Westmead Hospital, Westmead, NSW, Australia
| | - Melissa Luig
- Department of Neonatology, Westmead Hospital, Westmead, NSW, Australia
| | - Hannah Yejin Kim
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia; Westmead Hospital, Westmead, NSW, Australia; Sydney Institute for Infectious Diseases, The University of Sydney, Camperdown, NSW, Australia
| | - Jan-Willem Alffenaar
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia; Westmead Hospital, Westmead, NSW, Australia; Sydney Institute for Infectious Diseases, The University of Sydney, Camperdown, NSW, Australia.
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3
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Reagentless Sensing of Vancomycin Using an Indium Tin Oxide Electrode Grafted with Molecularly Imprinted Polymer including Ferrocenyl Group. SENSORS 2021; 21:s21248338. [PMID: 34960432 PMCID: PMC8706183 DOI: 10.3390/s21248338] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 12/03/2021] [Accepted: 12/10/2021] [Indexed: 11/17/2022]
Abstract
Vancomycin (VCM) is a first-line antimicrobial agent against methicillin-resistant Staphylococcus aureus, a cause of nosocomial infections. Therapeutic drug monitoring is strongly recommended for VCM-based chemotherapy. The authors attempted to develop a simple VCM sensor based on molecularly imprinted polymer (MIP), which can be used with simple operations. Methacrylic acid (MAA), acrylamide, methylenebisacrylamide, and allylamine carboxypropionate-3-ferrocene (ACPF) were copolymerized in the presence of VCM and grafted from the surface of indium-tin oxide (ITO) to obtain MIP-coated electrodes. The MIP-grafted ITO electrode was used for differential pulse voltammetry (DPV) measurements in a buffer solution containing VCM or whole bovine blood. The obtained current depends on the VCM concentration with high linearity. The dynamic range covered the therapeutic range (20–40 μg/mL) of the VCM but was almost insensitive to teicoplanin, which has a similar structure to VCM. The ITO electrodes grafted by the same procedure except for omitting either VCM or APCF were not sensitive to VCM. The sensitivity of the MIP electrodes to VCM in whole blood and buffered saline, but the background current in blood was higher than that in saline. This high background current was also seen in the deproteinized plasma. Thus, the current is probably originated from the oxidation of low molecular weight reducing agents in the blood. The MIP-grafted ITO electrode using ACPF as a functional monomer would be a promising highly selective sensor for real-time monitoring of VCM with proper correction of the background current.
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4
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Fan Y, Wang Y, Chen M, Chen Y, Guo B, Liu X, Wu H, Li Y, Hu J, Zhang J. Degradation of vancomycin in external quality assessment samples is a factor to underestimate its concentration. Bioanalysis 2021; 13:1743-1750. [PMID: 34789003 DOI: 10.4155/bio-2021-0163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Aim: To compare the difference between the measured and target values in vancomycin external quality assessment (EQA) samples and to investigate the factors for underestimating its concentration. Materials & methods: A retrospective analysis of 195 international vancomycin EQA results was performed. Deviations of the concentrations determined by TDx fluorescence polarization immunoassay (FPIA), Axsym FPIA and Architect chemiluminescence microparticle immunoassay (CMIA)Â method were -2.43, -16.28Â and -10.53%, respectively. Chromatographic peaks of the crystalling degradation products appeared in samples with large deviations. Vancomycin were degraded after long-term transporting and high temperature. Conclusion: Vancomycin concentrations measured by Axsym FPIA and Architect CMIA methods were likely to be underestimated. Long-term transporting resulted in low EQA results, suggesting that establishing a local EQA system for vancomycin is essential.
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Affiliation(s)
- Yaxin Fan
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China
- Key Laboratory of Clinical Pharmacology of Antibiotics, National Population & Family Planning Commission, Shanghai, 200040, China
- National Clinical Research Center for Aging & Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Yu Wang
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China
- Key Laboratory of Clinical Pharmacology of Antibiotics, National Population & Family Planning Commission, Shanghai, 200040, China
- National Clinical Research Center for Aging & Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Mengting Chen
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China
- Key Laboratory of Clinical Pharmacology of Antibiotics, National Population & Family Planning Commission, Shanghai, 200040, China
- National Clinical Research Center for Aging & Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Yuancheng Chen
- Key Laboratory of Clinical Pharmacology of Antibiotics, National Population & Family Planning Commission, Shanghai, 200040, China
- National Clinical Research Center for Aging & Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Beining Guo
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China
- Key Laboratory of Clinical Pharmacology of Antibiotics, National Population & Family Planning Commission, Shanghai, 200040, China
- National Clinical Research Center for Aging & Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Xiaofen Liu
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China
- Key Laboratory of Clinical Pharmacology of Antibiotics, National Population & Family Planning Commission, Shanghai, 200040, China
- National Clinical Research Center for Aging & Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Hailan Wu
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China
- Key Laboratory of Clinical Pharmacology of Antibiotics, National Population & Family Planning Commission, Shanghai, 200040, China
- National Clinical Research Center for Aging & Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Yi Li
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China
- Key Laboratory of Clinical Pharmacology of Antibiotics, National Population & Family Planning Commission, Shanghai, 200040, China
- National Clinical Research Center for Aging & Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Jiali Hu
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China
- Key Laboratory of Clinical Pharmacology of Antibiotics, National Population & Family Planning Commission, Shanghai, 200040, China
- National Clinical Research Center for Aging & Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Jing Zhang
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China
- Key Laboratory of Clinical Pharmacology of Antibiotics, National Population & Family Planning Commission, Shanghai, 200040, China
- National Clinical Research Center for Aging & Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China
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5
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Smelter DF, Trisler MJ, McCreary EK, Baker M, Copeland K, Dilworth TJ, Rose WE. Long-Acting Lipoglycopeptides Can Interfere With Vancomycin Therapeutic Drug Monitoring. J Clin Pharmacol 2021; 62:472-478. [PMID: 34564865 DOI: 10.1002/jcph.1975] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 09/22/2021] [Indexed: 11/07/2022]
Abstract
Oritavancin and dalbavancin are long-acting lipoglycopeptides with activity against susceptible gram-positive bacteria, including methicillin-resistant Staphylococcus aureus. Though similar in structure to traditional glycopeptide antibiotics like vancomycin, these antibiotics have terminal half-lives >10 days, and, as a result, there is potential for administration of vancomycin to a patient while oritavancin or dalbavancin are still appreciably present in serum. Given the structural similarities, this creates an opportunity for lab assay interference when performing therapeutic drug monitoring for vancomycin. Following higher-than-expected serum vancomycin concentrations in a patient who received both oritavancin and vancomycin within a short time frame, we evaluated the potential for lipoglycopeptide interference with clinical vancomycin assays. Five platforms covering 3 immunoassay technologies were used to quantify vancomycin concentrations in serum spiked with oritavancin or dalbavancin. Oritavancin generated spurious vancomycin concentrations (20%-84% increase) in both enzyme-multiplied immunoassay technique and a particle-enhanced turbidimetric inhibition immunoassay. However, the improper detection of oritavancin was not consistent across all particle-enhanced turbidimetric inhibition immunoassay platforms. Dalbavancin interference was not detected on any of the platforms tested. The interference from oritavancin may result in falsely elevated vancomycin concentrations and, subsequently, inappropriately adjusted vancomycin doses.
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Affiliation(s)
- Dan F Smelter
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Michael J Trisler
- Department of Pharmacy, University of Pittsburgh Medical Center Shadyside, Pittsburgh, Pennsylvania, USA
| | - Erin K McCreary
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Matthew Baker
- Department of Pathology, University of Pittsburgh Medical Center Shadyside, Pittsburgh, Pennsylvania, USA
| | - Kenneth Copeland
- ACL Laboratories, Advocate Aurora Health, Milwaukee, Wisconsin, USA
| | - Thomas J Dilworth
- Department of Pharmacy Services, Advocate Aurora Health, St. Luke's Medical Center, Milwaukee, Wisconsin, USA
| | - Warren E Rose
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, USA
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6
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Sridharan K, Abbasi MY, Mulubwa M. Population Pharmacokinetics and Dose Optimization of Vancomycin in Critically Ill Children. Eur J Drug Metab Pharmacokinet 2021; 46:539-546. [PMID: 34156647 DOI: 10.1007/s13318-021-00695-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/05/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND AND OBJECTIVE Critically ill children may exhibit varied vancomycin pharmacokinetic parameters mainly due to altered protein binding, extracellular volume, and renal elimination. The objective of this study was to assess the pharmacokinetics of vancomycin in critically ill children and determine the optimum dose regimen. METHODS This was a cross-sectional study of critically ill children admitted to a pediatric intensive care unit. They received vancomycin dose of 15 mg/kg every 8 h for mild infections or every 6 h if infection was moderate or severe. A nonlinear mixed-effects modeling approach was applied in estimating pharmacokinetic parameters using Monolix 2019R2®. We performed Monte Carlo simulations to assess and optimize the dosing regimen using Simulx®. We used the ratio of the area under the concentration-time curve up to 24 h to minimum inhibitory concentration (AUC0-24/MIC) ≥ 400 as the pharmacokinetic-pharmacodynamic target. RESULTS Fifty-eight critically ill children with 145 concentrations were included in the present study. A one-compartment pharmacokinetic model with linear elimination described the concentration-time profile well. The estimated median (95% confidence intervals) volume of distribution (Vd) was 13.3 (10.8-16.5) l and clearance (CL) was 1.23 (1.03-1.45) l/h. Creatinine clearance significantly affected the CL of vancomycin. Monte Carlo simulations revealed that a dose of either 15 mg/kg 6 hourly or 20 mg/kg 8 hourly was likely to result into most critically ill children attaining the vancomycin lead pharmacokinetic-pharmacodynamic target. CONCLUSION We established pharmacokinetic parameters of vancomycin for critically ill children. We also observed that the current dosing regimen practiced in the intensive care unit was inadequate for achieving the pharmacokinetic-pharmacodynamic target. We recommend vancomycin dose escalation in critically ill pediatric patients from 15 mg/kg 8 hourly (current dosing regimen) to either 6 hourly or 20 mg/kg 8 hourly with intense therapeutic drug monitoring for adverse effects.
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Affiliation(s)
- Kannan Sridharan
- Department of Pharmacology and Therapeutics, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain.
| | - Mohammad Yaseen Abbasi
- Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
| | - Mwila Mulubwa
- Drug Discovery and Development Centre (H3D), Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
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7
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Jacqz-Aigrain E, Leroux S, Thomson AH, Allegaert K, Capparelli EV, Biran V, Simon N, Meibohm B, Lo YL, Marques R, Peris JE, Lutsar I, Saito J, Nakamura H, van den Anker JN, Sharland M, Zhao W. Population pharmacokinetic meta-analysis of individual data to design the first randomized efficacy trial of vancomycin in neonates and young infants. J Antimicrob Chemother 2020; 74:2128-2138. [PMID: 31049551 DOI: 10.1093/jac/dkz158] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 02/26/2019] [Accepted: 03/16/2019] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES In the absence of consensus, the present meta-analysis was performed to determine an optimal dosing regimen of vancomycin for neonates. METHODS A 'meta-model' with 4894 concentrations from 1631 neonates was built using NONMEM, and Monte Carlo simulations were performed to design an optimal intermittent infusion, aiming to reach a target AUC0-24 of 400 mg·h/L at steady-state in at least 80% of neonates. RESULTS A two-compartment model best fitted the data. Current weight, postmenstrual age (PMA) and serum creatinine were the significant covariates for CL. After model validation, simulations showed that a loading dose (25 mg/kg) and a maintenance dose (15 mg/kg q12h if <35 weeks PMA and 15 mg/kg q8h if ≥35 weeks PMA) achieved the AUC0-24 target earlier than a standard 'Blue Book' dosage regimen in >89% of the treated patients. CONCLUSIONS The results of a population meta-analysis of vancomycin data have been used to develop a new dosing regimen for neonatal use and to assist in the design of the model-based, multinational European trial, NeoVanc.
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Affiliation(s)
- Evelyne Jacqz-Aigrain
- Department of Pediatric Pharmacology and Pharmacogenetics, Hôpital Robert Debré, APHP, Paris, France.,Clinical Investigation Center CIC1426, Hôpital Robert Debré, Paris, France.,University Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Stéphanie Leroux
- Department of Pediatric Pharmacology and Pharmacogenetics, Hôpital Robert Debré, APHP, Paris, France.,Clinical Investigation Center CIC1426, Hôpital Robert Debré, Paris, France.,Division of Neonatology, Department of Child and Adolescent Medicine, CHU de Rennes, Rennes, France
| | - Alison H Thomson
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.,Pharmacy Department, Glasgow Royal Infirmary, Glasgow, UK
| | - Karel Allegaert
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium.,Intensive Care, Erasmus MC - Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Edmund V Capparelli
- Pediatric Pharmacology and Drug Discovery, University of California, San Diego, CA, USA
| | - Valérie Biran
- Neonatal Intensive Care Unit, Hôpital Robert Debré, Paris, France
| | - Nicolas Simon
- Department of Pharmacology, Hôpital de la Timone, APHM, Université de la Méditerranée, Marseille, France.,Service de Pharmacologie Clinique, Hôpital Sainte marguerite, CAP-TV, 13274 Marseille, France.,Aix Marseille University, INSERM, IRD, SESSTIM, Marseille, France
| | - Bernd Meibohm
- Department of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Yoke-Lin Lo
- Department of Pharmacy, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.,School of Pharmacy, International Medical University, Kuala Lumpur, Malaysia
| | - Remedios Marques
- Department of Pharmacy Services, La Fe Hospital, Valencia, Spain
| | - José-Esteban Peris
- Department of Pharmacy and Pharmaceutical Technology, University of Valencia, Valencia, Spain
| | - Irja Lutsar
- Institute of Medical Microbiology, University of Tartu, Tartu, Estonia
| | - Jumpei Saito
- Department of Pharmacy, National Children's Hospital National Center for Child Health and Development, Tokyo, Japan
| | - Hidefumi Nakamura
- Department of Development Strategy, Center for Clinical Research and Development, National Center for Child Health and Development, Tokyo, Japan
| | - Johannes N van den Anker
- Pharmacy Department, Glasgow Royal Infirmary, Glasgow, UK.,Division of Clinical Pharmacology, Children's National Medical Center, Washington, DC, USA.,Departments of Pediatrics, Pharmacology & Physiology, George Washington University, School of Medicine and Health Sciences, Washington, DC, USA.,Department of Paediatric Pharmacology and Pharmacometrics, University Children's Hospital Basel, Basel, Switzerland
| | - Mike Sharland
- Paediatric Infectious Disease Unit, St George's Hospital, London, UK
| | - Wei Zhao
- Department of Pediatric Pharmacology and Pharmacogenetics, Hôpital Robert Debré, APHP, Paris, France.,Department of Pharmacy, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, China.,Department of Clinical Pharmacy, School of Pharmaceutical Sciences, Shandong University, Jinan, China
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8
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Allegaert K, Flint R, Smits A. Pharmacokinetic modelling and Bayesian estimation-assisted decision tools to optimize vancomycin dosage in neonates: only one piece of the puzzle. Expert Opin Drug Metab Toxicol 2019; 15:735-749. [PMID: 31402708 DOI: 10.1080/17425255.2019.1655540] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Introduction: Vancomycin is commonly administered to neonates, while observational data on therapeutic drug monitoring (TDM, trough levels) suggest that vancomycin exposure and dosage remain substandard. Area covered: Data on vancomycin pharmacokinetics (PK) and its covariates are abundant. Consequently, modeling is an obvious tool to improve targeted exposure, with a shift from TDM trough levels to area under the curve (AUC24h) targets, as in adults. Continuous administration appeared as a practice to facilitate AUC24h target attainment, while Bayesian model-supported targeting emerged as a novel tool. However, the AUC24h/MIC (minimal inhibitory concentration) target itself should consider neonate-specific aspects (bloodstream infections, coagulase-negative staphylococci, protein binding, underexplored causes of variability, like assays, preparation and administration inaccuracies, or missing covariates). Expert opinion: To improve targeted exposure in neonates, initial vancomycin prescription should be based on 'a priori model-based individual dosing' using validated dosing regimens, followed by further tailoring by dosing optimization applying Bayesian estimation-assisted TDM. Future research should focus on the feasibility to integrate these tools (individualized dosing, Bayesian models) in clinical practice, and to perform PK/PD studies in the relevant animal models and human neonatal setting (coagulase-negative staphylococci, bloodstream infections).
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Affiliation(s)
- Karel Allegaert
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam , Rotterdam , the Netherlands.,Department of Development and Regeneration, KU Leuven , Leuven , Belgium
| | - Robert Flint
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam , Rotterdam , the Netherlands.,Department of Pharmacy, Erasmus University Medical Center , Rotterdam , The Netherlands
| | - Anne Smits
- Department of Development and Regeneration, KU Leuven , Leuven , Belgium.,Neonatal Intensive Care Unit, University Hospitals Leuven , Leuven , Belgium
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9
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Kowalski R, Ćwiklińska A, Lizakowski M, Kortas-Stempak B, Bednarczuk G, Fijałkowska A, Pikul P, Lewandowski K. Insufficient harmonization of antibiotics assays – Polish experience with an external quality assessment program in the years 2011–2018. Clin Biochem 2019; 66:91-94. [DOI: 10.1016/j.clinbiochem.2019.02.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Revised: 01/24/2019] [Accepted: 02/03/2019] [Indexed: 11/16/2022]
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10
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Vancomycin Pharmacokinetics Throughout Life: Results from a Pooled Population Analysis and Evaluation of Current Dosing Recommendations. Clin Pharmacokinet 2019; 58:767-780. [DOI: 10.1007/s40262-018-0727-5] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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