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Liu HX, Tang BH, van den Anker J, Hao GX, Zhao W, Zheng Y. Population pharmacokinetics of antibacterial agents in the older population: a literature review. Expert Rev Clin Pharmacol 2024; 17:19-31. [PMID: 38131668 DOI: 10.1080/17512433.2023.2295009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 12/11/2023] [Indexed: 12/23/2023]
Abstract
INTRODUCTION Older individuals face an elevated risk of developing bacterial infections. The optimal use of antibacterial agents in this population is challenging because of age-related physiological alterations, changes in pharmacokinetics (PK) and pharmacodynamics (PD), and the presence of multiple underlying diseases. Therefore, population pharmacokinetics (PPK) studies are of great importance for optimizing individual treatments and prompt identification of potential risk factors. AREA COVERED Our search involved keywords such as 'elderly,' 'old people,' and 'geriatric,' combined with 'population pharmacokinetics' and 'antibacterial agents.' This comprehensive search yielded 11 categories encompassing 28 antibacterial drugs, including vancomycin, ceftriaxone, meropenem, and linezolid. Out of 127 studies identified, 26 (20.5%) were associated with vancomycin, 14 (11%) with meropenem, and 14 (11%) with piperacillin. Other antibacterial agents were administered less frequently. EXPERT OPINION PPK studies are invaluable for elucidating the characteristics and relevant factors affecting the PK of antibacterial agents in the older population. Further research is warranted to develop and validate PPK models for antibacterial agents in this vulnerable population.
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Affiliation(s)
- Hui-Xin Liu
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Bo-Hao Tang
- Department of Pharmacy, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - John van den Anker
- Division of Clinical Pharmacology, Children's National Hospital, Washington, DC, USA
- Departments of Pediatrics, Pharmacology & Physiology, Genomics and Precision Medicine, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
- Department of Paediatric Pharmacology and Pharmacometrics, University Children's Hospital Basel, University of Basel, Basel, Switzerland
| | - Guo-Xiang Hao
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wei Zhao
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Pharmacy, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Clinical Pharmacy, Clinical Trial Center, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Engineering and Technology Research Center for Pediatric Drug Development, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Jinan, China
| | - Yi Zheng
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
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Jabareen A, Kurnik D. Meropenem Administration in Critically Ill Patients With Sepsis. JAMA 2023; 330:1801. [PMID: 37962659 DOI: 10.1001/jama.2023.17733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Affiliation(s)
- Ali Jabareen
- Section of Clinical Pharmacology and Toxicology, Rambam Health Care Campus, Haifa, Israel
| | - Daniel Kurnik
- Rappaport Faculty of Medicine, Technion-Israel Institute of Medicine, Haifa
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Butranova OI, Ushkalova EA, Zyryanov SK, Chenkurov MS, Baybulatova EA. Pharmacokinetics of Antibacterial Agents in the Elderly: The Body of Evidence. Biomedicines 2023; 11:1633. [PMID: 37371728 DOI: 10.3390/biomedicines11061633] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 05/31/2023] [Accepted: 06/01/2023] [Indexed: 06/29/2023] Open
Abstract
Infections are important factors contributing to the morbidity and mortality among elderly patients. High rates of consumption of antimicrobial agents by the elderly may result in increased risk of toxic reactions, deteriorating functions of various organs and systems and leading to the prolongation of hospital stay, admission to the intensive care unit, disability, and lethal outcome. Both safety and efficacy of antibiotics are determined by the values of their plasma concentrations, widely affected by physiologic and pathologic age-related changes specific for the elderly population. Drug absorption, distribution, metabolism, and excretion are altered in different extents depending on functional and morphological changes in the cardiovascular system, gastrointestinal tract, liver, and kidneys. Water and fat content, skeletal muscle mass, nutritional status, use of concomitant drugs are other determinants of pharmacokinetics changes observed in the elderly. The choice of a proper dosing regimen is essential to provide effective and safe antibiotic therapy in terms of attainment of certain pharmacodynamic targets. The objective of this review is to perform a structure of evidence on the age-related changes contributing to the alteration of pharmacokinetic parameters in the elderly.
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Affiliation(s)
- Olga I Butranova
- Department of General and Clinical Pharmacology, Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St., 117198 Moscow, Russia
| | - Elena A Ushkalova
- Department of General and Clinical Pharmacology, Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St., 117198 Moscow, Russia
| | - Sergey K Zyryanov
- Department of General and Clinical Pharmacology, Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St., 117198 Moscow, Russia
- State Budgetary Institution of Healthcare of the City of Moscow "City Clinical Hospital No. 24 of the Moscow City Health Department", Pistzovaya Srt. 10, 127015 Moscow, Russia
| | - Mikhail S Chenkurov
- Department of General and Clinical Pharmacology, Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St., 117198 Moscow, Russia
| | - Elena A Baybulatova
- Department of General and Clinical Pharmacology, Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St., 117198 Moscow, Russia
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Liu C, Cojutti PG, Giannella M, Roberto M, Casadei B, Cristiano G, Papayannidis C, Vianelli N, Zinzani PL, Viale P, Bonifazi F, Pea F. Does Cytokine-Release Syndrome Induced by CAR T-Cell Treatment Have an Impact on the Pharmacokinetics of Meropenem and Piperacillin/Tazobactam in Patients with Hematological Malignancies? Findings from an Observational Case-Control Study. Pharmaceutics 2023; 15:pharmaceutics15031022. [PMID: 36986882 PMCID: PMC10059857 DOI: 10.3390/pharmaceutics15031022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/16/2023] [Accepted: 03/21/2023] [Indexed: 03/30/2023] Open
Abstract
Chimeric antigen receptor (CAR) T-cell therapy is a promising approach for some relapse/refractory hematological B-cell malignancies; however, in most patients, cytokine release syndrome (CRS) may occur. CRS is associated with acute kidney injury (AKI) that may affect the pharmacokinetics of some beta-lactams. The aim of this study was to assess whether the pharmacokinetics of meropenem and piperacillin may be affected by CAR T-cell treatment. The study included CAR T-cell treated patients (cases) and oncohematological patients (controls), who were administered 24-h continuous infusion (CI) meropenem or piperacillin/tazobactam, optimized by therapeutic drug monitoring, over a 2-year period. Patient data were retrospectively retrieved and matched on a 1:2 ratio. Beta-lactam clearance (CL) was calculated as CL = daily dose/infusion rate. A total of 38 cases (of whom 14 and 24 were treated with meropenem and piperacillin/tazobactam, respectively) was matched with 76 controls. CRS occurred in 85.7% (12/14) and 95.8% (23/24) of patients treated with meropenem and piperacillin/tazobactam, respectively. CRS-induced AKI was observed in only 1 patient. CL did not differ between cases and controls for both meropenem (11.1 vs. 11.7 L/h, p = 0.835) and piperacillin (14.0 vs. 10.4 L/h, p = 0.074). Our findings suggest that 24-h CI meropenem and piperacillin dosages should not be reduced a priori in CAR T-cell patients experiencing CRS.
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Affiliation(s)
- Chun Liu
- Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, 40138 Bologna, Italy
| | - Pier Giorgio Cojutti
- Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, 40138 Bologna, Italy
- Clinical Pharmacology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Maddalena Giannella
- Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, 40138 Bologna, Italy
- Infectious Diseases Unit, Department for Integrated Infectious Risk Management, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Marcello Roberto
- Istituto di Ematologia "Seràgnoli", IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Beatrice Casadei
- Istituto di Ematologia "Seràgnoli", IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Gianluca Cristiano
- Istituto di Ematologia "Seràgnoli", IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Cristina Papayannidis
- Istituto di Ematologia "Seràgnoli", IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Nicola Vianelli
- Istituto di Ematologia "Seràgnoli", IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Pier Luigi Zinzani
- Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, 40138 Bologna, Italy
- Istituto di Ematologia "Seràgnoli", IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Pierluigi Viale
- Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, 40138 Bologna, Italy
- Infectious Diseases Unit, Department for Integrated Infectious Risk Management, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Francesca Bonifazi
- Istituto di Ematologia "Seràgnoli", IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Federico Pea
- Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, 40138 Bologna, Italy
- Clinical Pharmacology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
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Li L, Sassen SDT, Ewoldt TMJ, Abdulla A, Hunfeld NGM, Muller AE, de Winter BCM, Endeman H, Koch BCP. Meropenem Model-Informed Precision Dosing in the Treatment of Critically Ill Patients: Can We Use It? Antibiotics (Basel) 2023; 12:antibiotics12020383. [PMID: 36830294 PMCID: PMC9951903 DOI: 10.3390/antibiotics12020383] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 02/16/2023] Open
Abstract
The number of pharmacokinetic (PK) models of meropenem is increasing. However, the daily role of these PK models in the clinic remains unclear, especially for critically ill patients. Therefore, we evaluated the published meropenem models on real-world ICU data to assess their suitability for use in clinical practice. All models were built in NONMEM and evaluated using prediction and simulation-based diagnostics for the ability to predict the subsequent meropenem concentrations without plasma concentrations (a priori), and with plasma concentrations (a posteriori), for use in therapeutic drug monitoring (TDM). Eighteen PopPK models were included for evaluation. The a priori fit of the models, without the use of plasma concentrations, was poor, with a prediction error (PE)% of the interquartile range (IQR) exceeding the ±30% threshold. The fit improved when one to three concentrations were used to improve model predictions for TDM purposes. Two models were in the acceptable range with an IQR PE% within ±30%, when two or three concentrations were used. The role of PK models to determine the starting dose of meropenem in this population seems limited. However, certain models might be suitable for TDM-based dose adjustment using two to three plasma concentrations.
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Affiliation(s)
- Letao Li
- Department of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Sebastiaan D. T. Sassen
- Department of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
- Center for Antimicrobial Treatment Optimization Rotterdam (CATOR), 3015 GD Rotterdam, The Netherlands
- Rotterdam Clinical Pharmacometrics Group, 3015 GD Rotterdam, The Netherlands
- Correspondence:
| | - Tim M. J. Ewoldt
- Department of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
- Rotterdam Clinical Pharmacometrics Group, 3015 GD Rotterdam, The Netherlands
- Department of Intensive Care, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Alan Abdulla
- Department of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
- Center for Antimicrobial Treatment Optimization Rotterdam (CATOR), 3015 GD Rotterdam, The Netherlands
- Rotterdam Clinical Pharmacometrics Group, 3015 GD Rotterdam, The Netherlands
| | - Nicole G. M. Hunfeld
- Department of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
- Department of Intensive Care, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Anouk E. Muller
- Center for Antimicrobial Treatment Optimization Rotterdam (CATOR), 3015 GD Rotterdam, The Netherlands
- Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
- Department of Medical Microbiology, Haaglanden Medical Centre, 2597 AX The Hague, The Netherlands
| | - Brenda C. M. de Winter
- Department of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
- Center for Antimicrobial Treatment Optimization Rotterdam (CATOR), 3015 GD Rotterdam, The Netherlands
- Rotterdam Clinical Pharmacometrics Group, 3015 GD Rotterdam, The Netherlands
| | - Henrik Endeman
- Department of Intensive Care, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Birgit C. P. Koch
- Department of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
- Center for Antimicrobial Treatment Optimization Rotterdam (CATOR), 3015 GD Rotterdam, The Netherlands
- Rotterdam Clinical Pharmacometrics Group, 3015 GD Rotterdam, The Netherlands
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Kadralinova A, Bekniyazova AZ, Konkayeva ME, Yeltayeva AA, Konkayev AK. Case report: Successful experience using continuous infusion of meropenem in a geriatric patient with hip fracture complicated by sepsis. Front Med (Lausanne) 2023; 10:1148555. [PMID: 37181364 PMCID: PMC10174454 DOI: 10.3389/fmed.2023.1148555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 04/03/2023] [Indexed: 05/16/2023] Open
Abstract
This article highlights a clinical case of successful treatment of a 79-year-old multimorbid patient with a hip fracture resulting from a household injury. On the first day, the patient's injury was complicated by infection and pneumonia. As a result, arterial hypotension, tachysystole, and respiratory failure progressed. With manifestations of sepsis, the patient was transferred to the intensive care unit. Surgical treatment in such a situation was contraindicated due to the high operational and anesthesiological risks, the unstable severe condition of the patient, as well as the presence of concomitant pathology in the form of coronary heart disease, obesity, and schizophrenia. According to the new sepsis management guideline, it was decided to use a continuous 24-h infusion of meropenem in addition to the complex treatment of sepsis. The use of continuous infusion of meropenem in this clinical situation may have caused the patient's clinical improvement, which increased her quality of life and decreased the length of ICU stay and total hospital stay, despite an unfavorable cumulative prognosis and a high risk of in-hospital mortality.
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Affiliation(s)
- Assiya Kadralinova
- Department of Anesthesiology and Intensive Care, Astana Medical University, Astana, Kazakhstan
- *Correspondence: Assiya Kadralinova,
| | - Assema Zh. Bekniyazova
- Department of Anesthesiology and Intensive Care, Astana Medical University, Astana, Kazakhstan
- Department of Anesthesiology and Intensive Care, National Scientific Center of Traumatology and Orthopedics named after Academician N.D. Batpenov, Astana, Kazakhstan
| | - Maiya E. Konkayeva
- Department of Anesthesiology and Intensive Care, Astana Medical University, Astana, Kazakhstan
| | - Aigerim A. Yeltayeva
- Department of Anesthesiology and Intensive Care, Astana Medical University, Astana, Kazakhstan
- Department of Anesthesiology and Intensive Care, National Scientific Center of Traumatology and Orthopedics named after Academician N.D. Batpenov, Astana, Kazakhstan
| | - Aidos K. Konkayev
- Department of Anesthesiology and Intensive Care, Astana Medical University, Astana, Kazakhstan
- Department of Anesthesiology and Intensive Care, National Scientific Center of Traumatology and Orthopedics named after Academician N.D. Batpenov, Astana, Kazakhstan
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Boonpeng A, Jaruratanasirikul S, Jullangkoon M, Samaeng M, Wattanavijitkul T, Bhurayanontachai R, Pattharachayakul S. Population Pharmacokinetics/Pharmacodynamics and Clinical Outcomes of Meropenem in Critically Ill Patients. Antimicrob Agents Chemother 2022;:e0084522. [PMID: 36226944 DOI: 10.1128/aac.00845-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Several pathophysiological changes can alter meropenem pharmacokinetics in critically ill patients, thereby increasing the risk of subtherapeutic concentrations and affecting therapeutic outcomes. This study aimed to characterize the population pharmacokinetic (PPK) parameters of meropenem, evaluate the relationship between the pharmacokinetic/pharmacodynamic index of meropenem and treatment outcomes, and evaluate the different dosage regimens that can achieve 40%, 75%, and 100% of the dosing interval for which the free plasma concentrations remain above the MIC of the pathogens (fT>MIC) targets. Critically ill adult patients treated with meropenem were recruited for this study. Five blood samples were collected from each patient. PPK models were developed using a nonlinear mixed-effects modeling approach, and the final model was subsequently used for Monte Carlo simulations to determine the optimal dosage regimens. A total of 247 concentrations from 52 patients were available for analysis. The two-compartment model with linear elimination adequately described the data. The mean PPK parameters were clearance (CL) of 4.8 L/h, central volume of distribution (VC) of 11.4 L, peripheral volume of distribution (VP) of 14.6 L, and intercompartment clearance of 10.5 L/h. Creatinine clearance was a significant covariate affecting CL, while serum albumin level and shock status were factors influencing VC and VP, respectively. Although 75% of the drug-resistant infection patients had fT>MIC values of >40%, approximately 83% of them did not survive the infection. Therefore, 40% fT>MIC might not be sufficient for critically ill patients, and a higher target, such as 75 to 100% fT>MIC, should be considered for optimizing therapy. A 75% fT>MIC could be reached using approved doses administered via a 3-h infusion.
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Alffenaar JWC, Stocker SL, Forsman LD, Garcia-Prats A, Heysell SK, Aarnoutse RE, Akkerman OW, Aleksa A, van Altena R, de Oñata WA, Bhavani PK, Van't Boveneind-Vrubleuskaya N, Carvalho ACC, Centis R, Chakaya JM, Cirillo DM, Cho JG, D Ambrosio L, Dalcolmo MP, Denti P, Dheda K, Fox GJ, Hesseling AC, Kim HY, Köser CU, Marais BJ, Margineanu I, Märtson AG, Torrico MM, Nataprawira HM, Ong CWM, Otto-Knapp R, Peloquin CA, Silva DR, Ruslami R, Santoso P, Savic RM, Singla R, Svensson EM, Skrahina A, van Soolingen D, Srivastava S, Tadolini M, Tiberi S, Thomas TA, Udwadia ZF, Vu DH, Zhang W, Mpagama SG, Schön T, Migliori GB. Clinical standards for the dosing and management of TB drugs. Int J Tuberc Lung Dis 2022; 26:483-499. [PMID: 35650702 PMCID: PMC9165737 DOI: 10.5588/ijtld.22.0188] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 04/04/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND: Optimal drug dosing is important to ensure adequate response to treatment, prevent development of drug resistance and reduce drug toxicity. The aim of these clinical standards is to provide guidance on 'best practice´ for dosing and management of TB drugs.METHODS: A panel of 57 global experts in the fields of microbiology, pharmacology and TB care were identified; 51 participated in a Delphi process. A 5-point Likert scale was used to score draft standards. The final document represents the broad consensus and was approved by all participants.RESULTS: Six clinical standards were defined: Standard 1, defining the most appropriate initial dose for TB treatment; Standard 2, identifying patients who may be at risk of sub-optimal drug exposure; Standard 3, identifying patients at risk of developing drug-related toxicity and how best to manage this risk; Standard 4, identifying patients who can benefit from therapeutic drug monitoring (TDM); Standard 5, highlighting education and counselling that should be provided to people initiating TB treatment; and Standard 6, providing essential education for healthcare professionals. In addition, consensus research priorities were identified.CONCLUSION: This is the first consensus-based Clinical Standards for the dosing and management of TB drugs to guide clinicians and programme managers in planning and implementation of locally appropriate measures for optimal person-centred treatment to improve patient care.
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Affiliation(s)
- J W C Alffenaar
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia
| | - S L Stocker
- School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Department of Clinical Pharmacology and Toxicology, St Vincent´s Hospital, Sydney, NSW, Australia, St Vincent´s Clinical Campus, University of NSW, Kensington, NSW, Australia
| | - L Davies Forsman
- Division of Infectious Diseases, Department of Medicine, Karolinska Institutet, Solna, Sweden, Department of Infectious Diseases Karolinska University Hospital, Solna, Sweden
| | - A Garcia-Prats
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa, Department of Pediatrics, University of Wisconsin, Madison, WI
| | - S K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - R E Aarnoutse
- Department of Pharmacy, Radboud Institute for Health Sciences & Radboudumc Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - O W Akkerman
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases and Tuberculosis, Groningen, The Netherlands, University of Groningen, University Medical Center Groningen, Tuberculosis Center Beatrixoord, Haren, The Netherlands
| | - A Aleksa
- Educational Institution "Grodno State Medical University", Grodno, Belarus
| | - R van Altena
- Asian Harm Reduction Network (AHRN) and Medical Action Myanmar (MAM) in Yangon, Myanmar
| | - W Arrazola de Oñata
- Belgian Scientific Institute for Public Health (Belgian Lung and Tuberculosis Association), Brussels, Belgium
| | - P K Bhavani
- Indian Council of Medical Research-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India
| | - N Van't Boveneind-Vrubleuskaya
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands, Department of Public Health TB Control, Metropolitan Public Health Services, The Hague, The Netherlands
| | - A C C Carvalho
- Laboratório de Inovações em Terapias, Ensino e Bioprodutos (LITEB), Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - R Centis
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Tradate, Italy
| | - J M Chakaya
- Department of Medicine, Therapeutics and Dermatology, Kenyatta University, Nairobi, Kenya, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - D M Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - J G Cho
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia, Parramatta Chest Clinic, Parramatta, NSW, Australia
| | - L D Ambrosio
- Public Health Consulting Group, Lugano, Switzerland
| | - M P Dalcolmo
- Reference Center Hélio Fraga, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - P Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - K Dheda
- Centre for Lung Infection and Immunity, Department of Medicine, Division of Pulmonology and UCT Lung Institute, University of Cape Town, Cape Town, South Africa, University of Cape Town Lung Institute & South African MRC Centre for the Study of Antimicrobial Resistance, Cape Town, South Africa, Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK
| | - G J Fox
- Faculty of Medicine and Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia, Woolcock Institute of Medical Research, Glebe, NSW, Australia
| | - A C Hesseling
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa
| | - H Y Kim
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia
| | - C U Köser
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - B J Marais
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, Department of Infectious Diseases and Microbiology, The Children´s Hospital at Westmead, Westmead, NSW, Australia
| | - I Margineanu
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A G Märtson
- Antimicrobial Pharmacodynamics and Therapeutics, Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - M Munoz Torrico
- Clínica de Tuberculosis, Instituto Nacional de Enfermedades Respiratorias, Ciudad de México, Mexico
| | - H M Nataprawira
- Division of Paediatric Respirology, Department of Child Health, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin Hospital, Bandung, Indonesia
| | - C W M Ong
- Infectious Disease Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Institute for Health Innovation & Technology (iHealthtech), National University of Singapore, Singapore, Division of Infectious Diseases, Department of Medicine, National University Hospital, Singapore
| | - R Otto-Knapp
- German Central Committee against Tuberculosis (DZK), Berlin, Germany
| | - C A Peloquin
- Infectious Disease Pharmacokinetics Laboratory, Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, USA
| | - D R Silva
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - R Ruslami
- TB/HIV Research Centre, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia, Department of Biomedical Sciences, Division of Pharmacology and Therapy, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - P Santoso
- Division of Respirology and Critical Care, Department of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran/Hasan Sadikin General Hospital, Bandung, Indonesia
| | - R M Savic
- Department of Bioengineering and Therapeutic Sciences, Division of Pulmonary and Critical Care Medicine, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, CA, USA
| | - R Singla
- Department of TB & Respiratory Diseases, National Institute of TB & Respiratory Diseases, New Delhi, India
| | - E M Svensson
- Department of Pharmacy, Radboud Institute for Health Sciences & Radboudumc Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands, Department of Pharmacy, Uppsala University, Uppsala, Sweden
| | - A Skrahina
- The Republican Research and Practical Centre for Pulmonology and TB, Minsk, Belarus
| | - D van Soolingen
- National Institute for Public Health and the Environment, TB Reference Laboratory (RIVM), Bilthoven, The Netherlands
| | - S Srivastava
- Department of Pulmonary Immunology, University of Texas Health Science Center at Tyler, Tyler, TX, USA
| | - M Tadolini
- Infectious Diseases Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy, Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - S Tiberi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - T A Thomas
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - Z F Udwadia
- P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, India
| | - D H Vu
- National Drug Information and Adverse Drug Reaction Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam
| | - W Zhang
- Department of Infectious Diseases, National Medical Center for Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People´s Republic of China
| | - S G Mpagama
- Kilimanjaro Christian Medical University College, Moshi, United Republic of Tanzania, Kibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, United Republic of Tanzania
| | - T Schön
- Department of Infectious Diseases, Linköping University Hospital, Linköping, Sweden, Institute of Biomedical and Clinical Sciences, Division of Infection and Inflammation, Linköping University, Linköping, Sweden, Department of Infectious Diseases, Kalmar County Hospital, Kalmar, Linköping University, Linköping, Sweden
| | - G B Migliori
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Tradate, Italy
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9
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Zhao Y, Xiao C, Hou J, Wu J, Xiao Y, Zhang B, Sandaradura I, Luo H, Li J, Yan M. C/MIC > 4: A Potential Instrument to Predict the Efficacy of Meropenem. Antibiotics (Basel) 2022; 11. [PMID: 35625314 DOI: 10.3390/antibiotics11050670] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/01/2022] [Accepted: 05/14/2022] [Indexed: 02/04/2023] Open
Abstract
This prospective study aimed to explore the determinants of meropenem trough concentration (Ctrough) in patients with bacterial pneumonia and to investigate the association between its concentration and efficacy. From January 2019 to December 2019, patients with pulmonary infections were prospectively enrolled from the intensive care unit. Factors affecting the meropenem trough concentration were analyzed, and a multiple linear regression model was constructed. Logistic regression analyses were used to investigate the relationship between Ctrough and clinical efficacy. A total of 64 patients were enrolled, in whom 210 meropenem concentrations were measured. Of the total, 60.9% (39/64) were considered clinically successful after treatment. Ctrough may increase with increased blood urea nitrogen, albumin, and concomitant antifungal use. By contrast, concentration may decrease with increased endogenous creatinine clearance rate. Six variables, including Ctrough/minimum inhibitory concentration (MIC) > 4, were associated with the efficacy of meropenem. There was an independent correlation between Ctrough/MIC > 4 and efficacy after fully adjusting for confounding factors. Based upon renal function indexes, it is possible to predict changes in meropenem concentration and adjust the dosage precisely and individually. Ctrough/MIC > 4 is a potential instrument to predict successful treatment with meropenem.
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10
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Lan J, Wu Z, Wang X, Wang Y, Yao F, Zhao BX, Wang Y, Chen J, Chen C. Population pharmacokinetics analysis and dosing simulations of meropenem in critically ill patients with pulmonary infection. J Pharm Sci 2022; 111:1833-1842. [DOI: 10.1016/j.xphs.2022.01.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 01/12/2022] [Accepted: 01/13/2022] [Indexed: 01/02/2023]
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11
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Zhao YC, Zou Y, Xiao YW, Wang F, Zhang BK, Xiang DX, Yu F, Luo H, Sandaradura I, Yan M. Does Prolonged Infusion Time Really Improve the Efficacy of Meropenem Therapy? A Prospective Study in Critically Ill Patients. Infect Dis Ther 2021. [PMID: 34748194 DOI: 10.1007/s40121-021-00551-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 10/13/2021] [Indexed: 11/06/2022] Open
Abstract
Introduction Meropenem is a carbapenem antibiotic, which has demonstrated excellent antimicrobial activity against gram-negative clinical isolates. It is also commonly used in critically ill patients. This study aimed to determine the pharmacokinetics/pharmacodynamics of meropenem in critically ill patients and whether prolonged injection duration is really beneficial to meropenem therapy. Methods We included 209 samples in 64 patients in this prospective study. PPK analysis and Monte Carlo dosing simulations were developed using Phoenix. Results A two-compartment model described the data adequately. Clearance (CL), volume (V), clearance of peripheral compartment (CL2), and volume of peripheral compartment (V2) were 6.15 l/h, 2.83 l/h, 17.40 l, and 17.48 l, respectively. Creatinine clearance and uric acid were significant covariates. Patients with creatinine clearance ≤ 60 ml/min and uric acid > 400 μmol/l could achieve the target > 90% under the minimum inhibitory concentration (MIC) of 8 mg/l, even with the administration dose of 500 mg/8 h with a 2-h infusion. Prolonging the infusion time significantly improved the therapeutic effect when MIC < 4. However, for the pharmacodynamic (PD) effects of 100% fT > MIC and 100% fT > 4 MIC, no significant statistical difference was observed in critically ill patients. Conclusions Critically ill patients with lower creatinine clearance and higher uric acid levels tended to need a lower dosage of meropenem. Prolonged infusion time was not always beneficial for those who needed a higher therapeutic target (100% fT > MIC, 100% fT > 4 MIC) or with MIC > 4 mg/l. Increasing dose or alternative therapeutic strategies may be required for critically ill patients with drug-resistant or severe infections. The study is of great significance to guide the rational use of meropenem in critically ill patients. Trial Registration The trial was registered in the China Clinical Trial (ChiCTR1900020672). Registered on 12 January 2019. Supplementary Information The online version contains supplementary material available at 10.1007/s40121-021-00551-2. Meropenem is commonly used empirically or targeted in critically ill patients for bacterial infection. Many studies have reported that prolonged infusion time can improve the efficacy of meropenem therapy. However, we are skeptical about that. Meanwhile, prolonged injections can sometimes cause mobility problems for patients. A quantitative method is used to evaluate meropenem use. It is called the population pharmacokinetic model or pharmacodynamic study. Using this method, we found two significant influencing factors of meropenem metabolism: creatinine clearance and uric acid level. It is likely that patients with a lower level of creatinine clearance and a high uric acid level tend to require lower dosages of meropenem. As for the effect of infusion time, Monte Carlo simulation was used, which can do 3000 simulations on an individual. The result was complex. We found infusion time was beneficial only when bacteria were sensitive to meropenem. The evidence suggests that prolonged injection duration sometimes does not significantly improve the outcome of antimicrobial therapy.
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12
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Cusumano JA, Klinker KP, Huttner A, Luther MK, Roberts JA, LaPlante KL. Towards precision medicine: Therapeutic drug monitoring-guided dosing of vancomycin and β-lactam antibiotics to maximize effectiveness and minimize toxicity. Am J Health Syst Pharm 2021; 77:1104-1112. [PMID: 32537644 DOI: 10.1093/ajhp/zxaa128] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
PURPOSE The goal of this review is to explore the role of antimicrobial therapeutic drug monitoring (TDM), especially in critically ill, obese, and older adults, with a specific focus on β-lactams and vancomycin. SUMMARY The continued rise of antimicrobial resistance prompts the need to optimize antimicrobial dosing. The aim of TDM is to individualize antimicrobial dosing to achieve antibiotic exposures associated with improved patient outcomes. Initially, TDM was developed to minimize adverse effects during use of narrow therapeutic index agents. Today, patient and organism complexity are expanding the need for precision dosing through TDM services. Alterations of pharmacokinetics and pharmacodynamics (PK/PD) in the critically ill, obese, and older adult populations, in conjunction with declining organism susceptibility, complicate attainment of therapeutic targets. Over the last decade, antimicrobial TDM has expanded with the emergence of literature supporting β-lactam TDM and a shift from monitoring vancomycin trough concentrations to monitoring of the ratio of area under the concentration (AUC) curve to minimum inhibitory concentration (MIC). PK/PD experts should be at the forefront of implementing precision dosing practices. CONCLUSION Precision dosing through TDM is expanding and is especially important in populations with altered PK/PD, including critically ill, obese, and older adults. Due to wide PK/PD variability in these populations, TDM is vital to maximize antimicrobial effectiveness and decrease adverse event rates. However, there is still a need for studies connecting TDM to patient outcomes. Providing patient-specific care through β-lactam TDM and transitioning to vancomycin AUC/MIC monitoring may be challenging, but with experts at the forefront of this initiative, PK-based optimization of antimicrobial therapy can be achieved.
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Affiliation(s)
- Jaclyn A Cusumano
- Infectious Diseases Research Program, Veterans Affairs Medical Center, Providence, RI.,Department of Pharmacy Practice, College of Pharmacy, University of Rhode Island, Kingston, RI
| | | | - Angela Huttner
- Division of Infectious Diseases, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Megan K Luther
- Infectious Diseases Research Program, Veterans Affairs Medical Center, Providence, RI.,Department of Pharmacy Practice, College of Pharmacy, University of Rhode Island, Kingston, RI
| | - Jason A Roberts
- University of Queensland Centre for Clinical Research (UQCCR), Faculty of Medicine & Centre for Translational Anti-infective Pharmacodynamics, School of Pharmacy, University of Queensland, Brisbane, Australia.,Royal Brisbane and Women's Hospital, Brisbane, Australia
| | - Kerry L LaPlante
- Infectious Diseases Research Program, Veterans Affairs Medical Center, Providence, RI.,Department of Pharmacy Practice, College of Pharmacy, University of Rhode Island, Kingston, RI
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13
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Scharf C, Paal M, Schroeder I, Vogeser M, Draenert R, Irlbeck M, Zoller M, Liebchen U. Therapeutic Drug Monitoring of Meropenem and Piperacillin in Critical Illness-Experience and Recommendations from One Year in Routine Clinical Practice. Antibiotics (Basel) 2020; 9:antibiotics9030131. [PMID: 32245195 PMCID: PMC7148485 DOI: 10.3390/antibiotics9030131] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 03/18/2020] [Accepted: 03/19/2020] [Indexed: 12/19/2022] Open
Abstract
Various studies have reported insufficient beta-lactam concentrations in critically ill patients. The extent to which therapeutic drug monitoring (TDM) in clinical practice can reduce insufficient antibiotic concentrations is an ongoing matter of investigation. We retrospectively evaluated routine meropenem and piperacillin measurements in critically ill patients who received antibiotics as short infusions in the first year after initiating a beta-lactam TDM program. Total trough concentrations above 8.0 mg/L for meropenem and above 22.5 mg/L for piperacillin were defined as the breakpoints for target attainment. We included 1832 meropenem samples and 636 piperacillin samples. We found that 39.3% of meropenem and 33.6% of piperacillin samples did not reach the target concentrations. We observed a clear correlation between renal function and antibiotic concentration (meropenem, r = 0.53; piperacillin, r = 0.63). Patients with renal replacement therapy or creatinine clearance (CrCl) of <70 mL/min had high rates of target attainment with the standard dosing regimens. There was a low number of patients with a CrCl >100 mL/min that achieved the target concentrations with the maximum recommended dosage. Patients with impaired renal function only required TDM if toxic side effects were noted. In contrast, patients with normal renal function required different dosage regimens and TDM-guided therapy to reach the breakpoints of target attainment.
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Affiliation(s)
- Christina Scharf
- Department of Anesthesiology, University Hospital, LMU Munich, 81377 Munich, Germany; (I.S.); (M.I.); (M.Z.); (U.L.)
- Correspondence: ; Fax: +49-89-4400-78886
| | - Michael Paal
- Institute of Laboratory Medicine, University Hospital, LMU Munich, 81377 Munich, Germany; (M.P.); (M.V.)
| | - Ines Schroeder
- Department of Anesthesiology, University Hospital, LMU Munich, 81377 Munich, Germany; (I.S.); (M.I.); (M.Z.); (U.L.)
| | - Michael Vogeser
- Institute of Laboratory Medicine, University Hospital, LMU Munich, 81377 Munich, Germany; (M.P.); (M.V.)
| | - Rika Draenert
- Section Clinical Infectious Diseases, University Hospital, LMU Munich, 81377 Munich, Germany;
| | - Michael Irlbeck
- Department of Anesthesiology, University Hospital, LMU Munich, 81377 Munich, Germany; (I.S.); (M.I.); (M.Z.); (U.L.)
| | - Michael Zoller
- Department of Anesthesiology, University Hospital, LMU Munich, 81377 Munich, Germany; (I.S.); (M.I.); (M.Z.); (U.L.)
| | - Uwe Liebchen
- Department of Anesthesiology, University Hospital, LMU Munich, 81377 Munich, Germany; (I.S.); (M.I.); (M.Z.); (U.L.)
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14
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Falcone M, Paul M, Tiseo G, Yahav D, Prendki V, Friberg LE, Guerri R, Gavazzi G, Mussini C, Tinelli M; ESCMID Study Group for Infections in the Elderly (ESGIE). Considerations for the optimal management of antibiotic therapy in elderly patients. J Glob Antimicrob Resist 2020; 22:325-33. [PMID: 32165285 DOI: 10.1016/j.jgar.2020.02.022] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Revised: 02/14/2020] [Accepted: 02/26/2020] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVES To maximise efficacy and minimise toxicity, special considerations are required for antibiotic prescription in elderly patients. This review aims to provide practical suggestions for the optimal management of antibiotic therapy in elderly patients. METHODS This was a narrative review. A literature search of published articles in the last 15 years on antibiotics and elderly patients was performed using the Cochrane Library and PubMed electronic databases. The three priority areas were identified: (i) pharmacokinetics/pharmacodynamics (PK/PD) for optimising dosage regimens and route of administration; (ii) antibiotic dosages in some special subpopulations; and (iii) treatment considerations relating to different antibiotic classes and their adverse events. RESULTS Clinicians should understand the altered PK/PD of drugs in this population owing to co-morbid conditions and normal physiological changes associated with ageing. The body of evidence justifies the need for individualised dose selection, especially in patients with impaired renal and liver function. Clinicians should be aware of the major drug-drug interactions commonly observed in the elderly as well as potential side effects. CONCLUSION Antibiotic therapy in the elderly requires a comprehensive approach, including strategies to improve appropriate antibiotic prescribing, limit their use for uncomplicated infections and ensure the attainment of an optimal PK/PD target. To this purpose, further studies involving the elderly are needed to better understand the PK of antibiotics. Moreover, it is necessary to assess the role therapeutic drug monitoring in guiding antibiotic therapy in elderly patients in order to evaluate its impact on clinical outcome.
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15
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Ishihara N, Nishimura N, Ikawa K, Karino F, Miura K, Tamaki H, Yano T, Isobe T, Morikawa N, Naora K. Population Pharmacokinetic Modeling and Pharmacodynamic Target Attainment Simulation of Piperacillin/Tazobactam for Dosing Optimization in Late Elderly Patients with Pneumonia. Antibiotics (Basel) 2020; 9:E113. [PMID: 32155905 DOI: 10.3390/antibiotics9030113] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 02/28/2020] [Accepted: 03/04/2020] [Indexed: 12/03/2022] Open
Abstract
The aim of this study was to develop a population pharmacokinetic model for piperacillin (PIPC)/tazobactam (TAZ) in late elderly patients with pneumonia and to optimize the administration planning by applying pharmacokinetic/pharmacodynamic (PK/PD) criteria. PIPC/TAZ (total dose of 2.25 or 4.5 g) was infused intravenously three times daily to Japanese patients over 75 years old. The plasma concentrations of PIPC and TAZ were determined using high-performance liquid chromatography and modeled using the NONMEM program. PK/PD analysis with a random simulation was conducted using the final population PK model to estimate the probability of target attainment (PTA) profiles for various PIPC/TAZ-regimen–minimum-inhibitory-concentration (MIC) combinations. The PTAs for PIPC and TAZ were determined as the fraction that achieved at least 50% free time > MIC and area under the free-plasma-concentration–time curve over 24 h ≥ 96 μg h/mL, respectively. A total of 18 cases, the mean age of which was 86.5 ± 6.0 (75–101) years, were investigated. The plasma-concentration–time profiles of PIPC and TAZ were characterized by a two-compartment model. The parameter estimates for the final model, namely the total clearance, central distribution volume, peripheral distribution volume, and intercompartmental clearance, were 4.58 + 0.061 × (CLcr − 37.4) L/h, 5.39 L, 6.96 L, and 20.7 L/h for PIPC, and 5.00 + 0.059 × (CLcr − 37.4) L/h, 6.29 L, 7.73 L, and 24.0 L/h for TAZ, respectively, where CLcr is the creatinine clearance. PK/PD analysis using the final model showed that in drug-resistant strains with a MIC > 8 μg/mL, 4.5 g of PIPC/TAZ every 6 h was required, even for the patients with a CLcr of 50–60 mL/min. The population PK model developed in this study, together with MIC value, can be useful for optimizing the PIPC/TAZ dosage in the over-75-year-old patients, when they are administered PIPC/TAZ. Therefore, the findings of present study may contribute to improving the efficacy and safety of the administration of PIPC/TAZ therapy in late elderly patients with pneumonia.
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Thabit AK, Hobbs ALV, Guzman OE, Shea KM. The Pharmacodynamics of Prolonged Infusion β-Lactams for the Treatment of Pseudomonas aeruginosa Infections: A Systematic Review. Clin Ther 2019; 41:2397-2415.e8. [PMID: 31679822 DOI: 10.1016/j.clinthera.2019.09.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 09/17/2019] [Accepted: 09/17/2019] [Indexed: 01/22/2023]
Abstract
PURPOSE Pseudomonas aeruginosa is a commonly isolated nosocomial pathogen for which treatment options are often limited for multidrug-resistant isolates. In addition to newer available antimicrobial agents active against P. aeruginosa, strategies such as extended (eg, prolonged or continuous) infusion have been suggested to optimize the pharmacokinetic and pharmacodynamic profiles of β-lactams. Literature regarding clinical outcomes for extended infusion β-lactams has been controversial; however, this use seems most beneficial in patients with severe illness. Prolonged infusion of β-lactams (eg, 3- to 4-hour infusion) can enhance the pharmacodynamic target attainment via increasing the amount of time throughout the dosing interval to which the free drug concentration remains above the MIC (minimum inhibitory concentration) of the organism (fT > MIC). This systematic review summarizes current literature related to the probability of target attainment (PTA) of various antipseudomonal β-lactam regimens administered as prolonged infusions in an effort to provide guidance in selecting optimal dosing regimens and infusion times for the treatment of P. aeruginosa infections. METHODS A literature search for all pertinent studies was performed by using the PubMed database (with no year limit) through March 31, 2019. FINDINGS Thirty-nine studies were included. Although many standard antipseudomonal β-lactam intermittent infusion regimens can provide adequate PTA against most susceptible isolates, prolonged infusion may enhance percent fT > MIC for organisms with higher MICs (eg, nonsusceptible) or patients with altered pharmacokinetic profiles (eg, obese, critically ill, those with febrile neutropenia). IMPLICATIONS Prolonged infusion β-lactam regimens can enhance PTA against nonsusceptible P. aeruginosa isolates and may provide a potential therapeutic option for multidrug-resistant infections. Before implementing prolonged infusion antipseudomonal β-lactams, institutions should consider the half-life of the antibiotic, local incidence of P. aeruginosa infections, antibiotic MIC distributions or MICs isolated from individual patients, individual patient characteristics that may alter pharmacokinetic variables, and PTA (eg, critically ill), as well as implementation challenges.
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Affiliation(s)
- Abrar K Thabit
- Pharmacy Practice Department, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Athena L V Hobbs
- Department of Pharmacy, Baptist Memorial Hospital-Memphis, Memphis, TN, USA
| | | | - Katherine M Shea
- Innovative Delivery Solutions, Cardinal Health, Houston, TX, USA.
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Idoate Grijalba AI, Aldaz Pastor A, Marquet P, Woillard J. Evaluation of a non-parametric modelling for meropenem in critically ill patients using Monte Carlo simulation. Eur J Clin Pharmacol 2019; 75:1405-14. [DOI: 10.1007/s00228-019-02716-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 07/04/2019] [Indexed: 01/23/2023]
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18
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Kulengowski B, Clark JA, Burgess DS. Killing activity of meropenem in combination with amikacin against VIM- or KPC-producing Enterobacteriaceae that are susceptible, intermediate, or resistant to amikacin. Diagn Microbiol Infect Dis 2019; 93:372-5. [DOI: 10.1016/j.diagmicrobio.2018.10.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2018] [Revised: 10/30/2018] [Accepted: 10/31/2018] [Indexed: 11/23/2022]
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19
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Oyaga-iriarte E, Insausti A, Sayar O, Aldaz A. Population pharmacokinetic model of irinotecan and its metabolites in patients with metastatic colorectal cancer. Eur J Clin Pharmacol 2019; 75:529-42. [DOI: 10.1007/s00228-018-02609-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 12/07/2018] [Indexed: 01/11/2023]
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20
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Vilay AM. Antibiotic Dosing in Chronic Kidney Disease and End-Stage Renal Disease: A Focus on Contemporary Challenges. Adv Chronic Kidney Dis 2019; 26:61-71. [PMID: 30876619 DOI: 10.1053/j.ackd.2018.10.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 10/10/2018] [Indexed: 02/08/2023]
Abstract
Infections are an important cause of morbidity and mortality among patients with chronic kidney disease. Therefore, appropriate antibiotic dosing is imperative to achieve positive patient outcomes while minimizing antibiotic dose-related toxicity. Accurately assessing renal function and determining the influence of renal replacement therapy on antibiotic clearance makes drug dosing in this patient population challenging. Furthermore, as technological advances in hemodialysis and peritoneal dialysis occur, research incorporating newer dialysis parameters to guide drug dosing may not be readily available. Currently, there are limited data to guide drug dosing in the setting of automated peritoneal dialysis, short daily hemodialysis, and nocturnal hemodialysis. Antibiotic-dosing recommendations should be carefully evaluated considering the accuracy of the renal function assessment, the similarity of the operating characteristics of the renal replacement therapy studied compared with those being used, and whether the dosing strategy takes advantage of the pharmacodynamic profile of the antibiotic under consideration. After implementing the antibiotic-dosing regimen, therapeutic drug monitoring should occur when possible along with careful monitoring for antibiotic efficacy and safety.
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Lonsdale DO, Baker EH, Kipper K, Barker C, Philips B, Rhodes A, Sharland M, Standing JF. Scaling beta-lactam antimicrobial pharmacokinetics from early life to old age. Br J Clin Pharmacol 2018; 85:316-346. [PMID: 30176176 DOI: 10.1111/bcp.13756] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Revised: 08/02/2018] [Accepted: 08/22/2018] [Indexed: 12/13/2022] Open
Abstract
AIMS Beta-lactam dose optimization in critical care is a current priority. We aimed to review the pharmacokinetics (PK) of three commonly used beta-lactams (amoxicillin ± clavulanate, piperacillin-tazobactam and meropenem) to compare PK parameters reported in critically and noncritically ill neonates, children and adults, and to investigate whether allometric and maturation scaling principles could be applied to describe changes in PK parameters through life. METHODS A systematic review of PK studies of the three drugs was undertaken using MEDLINE and EMBASE. PK parameters and summary statistics were extracted and scaled using allometric principles to 70 kg individual for comparison. Pooled data were used to model clearance maturation and decline using a sigmoidal (Hill) function. RESULTS A total of 130 papers were identified. Age ranged from 29 weeks to 82 years and weight from 0.9-200 kg. PK parameters from critically ill populations were reported with wider confidence intervals than those in healthy volunteers, indicating greater PK variability in critical illness. The standard allometric size and sigmoidal maturation model adequately described increasing clearance in neonates, and a sigmoidal model was also used to describe decline in older age. Adult weight-adjusted clearance was achieved at approximately 2 years postmenstrual age. Changes in volume of distribution were well described by the standard allometric model, although amoxicillin data suggested a relatively higher volume of distribution in neonates. CONCLUSIONS Critical illness is associated with greater PK variability than in healthy volunteers. The maturation models presented will be useful for optimizing beta-lactam dosing, although a prospective, age-inclusive study is warranted for external validation.
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Affiliation(s)
- Dagan O Lonsdale
- Institute for Infection and Immunity, St George's, University of London, London, UK.,St George's University Hospitals NHS Foundation Trust, London, UK
| | - Emma H Baker
- Institute for Infection and Immunity, St George's, University of London, London, UK.,St George's University Hospitals NHS Foundation Trust, London, UK
| | - Karin Kipper
- Institute for Infection and Immunity, St George's, University of London, London, UK.,Institute of Chemistry, University of Tartu, Tartu, Estonia.,Analytical Services International Ltd
| | - Charlotte Barker
- Institute for Infection and Immunity, St George's, University of London, London, UK
| | - Barbara Philips
- Institute for Infection and Immunity, St George's, University of London, London, UK.,St George's University Hospitals NHS Foundation Trust, London, UK
| | - Andrew Rhodes
- St George's University Hospitals NHS Foundation Trust, London, UK
| | - Mike Sharland
- Institute for Infection and Immunity, St George's, University of London, London, UK.,St George's University Hospitals NHS Foundation Trust, London, UK
| | - Joseph F Standing
- Institute for Infection and Immunity, St George's, University of London, London, UK.,St George's University Hospitals NHS Foundation Trust, London, UK.,UCL Great Ormond Street Institute of Child Health, London, UK.,Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
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22
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Affiliation(s)
- Federico Pea
- Institute of Clinical Pharmacology, Santa Maria della Misericordia University Hospital of Udine, ASUIUD, Udine, Italy
- Department of Medicine, University of Udine, Udine, Italy
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23
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Li X, Wang X, Wu Y, Sun S, Chen K, Lu Y, Wang Q, Zhao Z. Plasma and cerebrospinal fluid population pharmacokinetic modeling and simulation of meropenem after intravenous and intrathecal administration in postoperative neurosurgical patients. Diagn Microbiol Infect Dis 2018; 93:386-392. [PMID: 30638947 DOI: 10.1016/j.diagmicrobio.2018.08.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 07/02/2018] [Accepted: 08/12/2018] [Indexed: 12/30/2022]
Abstract
Combined intravenous and local intrathecal administration of meropenem in patients after craniotomy is widely used to treat intracranial infections. However, the optimal dosing regimen of meropenem has not been investigated, posing a risk to treatment efficacy. We aimed to identify significant factors associated with inter-individual variability in cerebrospinal fluid (CSF) pharmacokinetics of meropenem and to evaluate potential intravenous and intrathecal meropenem dosing regimens for the treatment of patients with intracranial infections. After the diagnosis of intracranial infection, 15 patients with an indwelling drain tube received intravenous and intrathecal administration of meropenem. Blood and cerebrospinal fluid (CSF) samples were obtained at the scheduled time to measure meropenem concentration. Plasma and CSF concentration-time data were fit simultaneously using a nonlinear mixed-effects modeling approach. A 3-compartmental model was selected to characterize the in vivo behavior of meropenem. Through population modeling, multiple covariates were tested about their impact on the meropenem pharmacokinetics. Considering CSF outflow via drain tube leading to a drug loss, the drug clearance in CSF (CLCSF) was added to describe this drug loss. The covariate selection indicated that the drainage volume (mL/d) had a significant positive correlation with CLCSF. Bootstrap and visual predictive check suggested a robust and reliable pharmacokinetic model was structured. The established final population model was useful to apply with simulation to identify meropenem dosing regimens for the treatment of patients with intracranial infections. With the goal of CSF concentrations exceeding the minimum inhibitory concentration during the therapy, we created a simple to use dosage regimen table to guide clinicians with drug dosing.
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Affiliation(s)
- Xingang Li
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China; Precision Medicine Research Center for Neurological Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China
| | - Xiaoping Wang
- Department of Pharmacy, Shaanxi Provincial Hospital of Traditional Chinese Medicine, Xian, 710003, China
| | - Yuanxing Wu
- Respiratory and Critical Care Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100050, China
| | - Shusen Sun
- College of Pharmacy, Western New England University, Springfield, MA 01119, USA
| | - Kai Chen
- Intensive Care Unit, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China
| | - Yanxia Lu
- Department of Pharmacy, The General Hospital of the Chinese People's Armed Police Forces, Beijing, 100039, China.
| | - Qiang Wang
- Intensive Care Unit, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
| | - Zhigang Zhao
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China; Precision Medicine Research Center for Neurological Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
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24
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Li X, Sun S, Wang Q, Zhao Z. Population Pharmacokinetics of Combined Intravenous and Local Intrathecal Administration of Meropenem in Aneurysm Patients with Suspected Intracranial Infections After Craniotomy. Eur J Drug Metab Pharmacokinet 2018; 43:45-53. [PMID: 28616823 DOI: 10.1007/s13318-017-0422-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND OBJECTIVE For patients with intracranial infection, local intrathecal administration of meropenem may be a useful method to obtain a sufficient drug concentration in the cerebral spinal fluid (CSF). However, a large inter-individual variability may pose treatment efficacy at risk. This study aimed to identify factors affecting drug concentration in the CSF using population pharmacokinetics method. METHODS After craniotomy, aneurysm patients with an indwelling lumbar cistern drainage tube who received a combined intravenous and intrathecal administration of meropenem for the treatment of suspected intracranial infection were enrolled. Venous blood and CSF specimens were collected for determining meropenem concentrations. Nonlinear mixed-effects modeling method was used to fit blood and CSF concentrations simultaneously and to develop the population pharmacokinetic model. The proposed model was applied to simulate dosage regimens. RESULTS A three-compartmental model was established to describe meropenem in vivo behavior. Lumbar CSF drainage resulted in a drug loss, and drug clearance in CSF (CLCSF) was employed to describe this. The covariate analysis found that the drainage volume (mL/day) was strongly associated with CLCSF, and the effect of creatinine clearance was significant on the clearance of meropenem in blood (CL). Visual predictive check suggested that the proposed pharmacokinetic model agreed well with the observations. Simulation showed that both intravenous and intrathecal doses should be increased with the increases of minimum inhibitory concentration and daily CSF drainage volume. CONCLUSION This model incorporates covariates of the creatinine clearance and the drainage volume, and a simple to use dosage regimen table was created to guide clinicians with meropenem dosing.
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Affiliation(s)
- Xingang Li
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China
| | - Shusen Sun
- College of Pharmacy, Western New England University, Springfield, MA, 01119, USA
| | - Qiang Wang
- Intensive Care Unit, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China
| | - Zhigang Zhao
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
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25
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Kim YK, Lee DH, Jeon J, Jang HJ, Kim HK, Jin K, Lim SN, Lee SS, Park BS, Kim YW, Shin JG, Kiem S. Population Pharmacokinetic Analysis of Meropenem After Intravenous Infusion in Korean Patients With Acute Infections. Clin Ther 2018; 40:1384-1395. [PMID: 30093133 DOI: 10.1016/j.clinthera.2018.07.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 07/03/2018] [Accepted: 07/03/2018] [Indexed: 12/16/2022]
Abstract
PURPOSE The aim of this study was to investigate the population pharmacokinetic (PK) profile of meropenem in Korean patients with acute infections. METHODS The study included 37 patients with a creatinine clearance ≤50 or >50 mL/min who received a 500- or 1000-mg dose of meropenem, respectively, infused intravenously over 1 hour every 8 hours. Blood samples were collected before and at 1, 1.5, and 5 hours after the start of the fourth infusion. The population PK analysis was conducted by using nonlinear mixed effect modeling software (NONMEM). Monte-Carlo simulations were performed to identify optimal dosing regimens. FINDINGS Thirty-seven subjects completed the study. Meropenem PK variables were well described by using a one-compartment model. The typical values (relative SE) for weight-normalized clearance (CL) and Vd were 0.266 L/h/kg (12.29%) and 0.489 L/kg (11.01%), respectively. Meropenem CL was significantly influenced by the serum creatinine level, which explained 11% of the interindividual CK variability. The proposed equation to estimate meropenem CL in Korean patients was as follows: CL (L/h) = 0.266 × weight × [serum creatinine/0.74]-1.017. The simulation results indicate that the current meropenem dosing regimen may be suboptimal in patients infected with normal or augmented renal function. IMPLICATIONS Prolonged infusions of meropenem over at least 2 hours should be considered, especially in patients with augmented renal function and those infected with pathogens for which the minimum inhibitory meropenem concentration is >1 μg/mL. Our results suggest an individualized meropenem dosing regimen for patients with abnormal renal function and those infected with pathogens with decreased in vitro susceptibility.
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Affiliation(s)
- Yong Kyun Kim
- Division of Infectious Diseases, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Dong-Hwan Lee
- Hallym Institute for Clinical Medicine, Hallym University Medical Center, Anyang, Republic of Korea
| | - Jaehyun Jeon
- Department of Infectious Diseases, Division of Intensive Care Medicine, Sheikh Khalifa Specialty Hospital, North Ras Al Khaimah, United Arab Emirates
| | - Hang-Jea Jang
- Division of Pulmonology and Critical Care Medicine, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Hyeon-Kuk Kim
- Division of Pulmonology and Critical Care Medicine, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Kyubok Jin
- Division of Nephrology, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Sung-Nam Lim
- Division of Hemato-Oncology, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Sung Sook Lee
- Division of Hemato-Oncology, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Bong Soo Park
- Division of Nephrology, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Yang Wook Kim
- Division of Nephrology, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Jae-Gook Shin
- Department of Clinical Pharmacology, Inje University College of Medicine, Busan, Republic of Korea
| | - Sungmin Kiem
- Division of Infectious Diseases, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea.
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26
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Kulengowski B, Rutter WC, Campion JJ, Lee GC, Feola DJ, Burgess DS. Effect of increasing meropenem MIC on the killing activity of meropenem in combination with amikacin or polymyxin B against MBL- and KPC-producing Enterobacter cloacae. Diagn Microbiol Infect Dis 2018; 92:262-266. [PMID: 30098852 DOI: 10.1016/j.diagmicrobio.2018.06.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 06/13/2018] [Accepted: 06/15/2018] [Indexed: 10/28/2022]
Abstract
Carbapenem resistant Enterobacteriaceae (CRE) are a growing threat worldwide. Infections caused by these organisms have exhibited high rates of mortality (50%) for which there is no standard of care and a dearth of clinical trials. Most in vitro data on CRE focus on Klebsiella pneumoniae, but it is known that effective therapy may depend on species or even strain. To address this, meropenem, amikacin, and polymyxin B alone and in combination were evaluated by time kill against four carbapenem-producing Enterobacter cloacae clinical isolates representing a range of meropenem nonsusceptibility (2-32 mg/L) and resistance mechanisms (KPC 2 and/or VIM 1). As meropenem minimum inhibitory concentration (MIC) increased, bactericidal activity and synergy were maintained for 48 hours in isolates exposed to meropenem and amikacin, but synergy and bactericidal activity were not maintained in all isolates exposed to meropenem and polymyxin B.
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Affiliation(s)
| | - W Cliff Rutter
- College of Pharmacy, University of Kentucky, Lexington, KY 40536, USA
| | - Jeffrey J Campion
- VA Research Service, Department of Veterans Affairs, Lexington, KY 40502, USA
| | - Grace C Lee
- College of Pharmacy, The University of Texas at Austin, San Antonio, TX 78712, USA
| | - David J Feola
- College of Pharmacy, University of Kentucky, Lexington, KY 40536, USA
| | - David S Burgess
- College of Pharmacy, University of Kentucky, Lexington, KY 40536, USA.
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27
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Hanberg P, Öbrink-Hansen K, Thorsted A, Bue M, Tøttrup M, Friberg LE, Hardlei TF, Søballe K, Gjedsted J. Population Pharmacokinetics of Meropenem in Plasma and Subcutis from Patients on Extracorporeal Membrane Oxygenation Treatment. Antimicrob Agents Chemother 2018; 62:e02390-17. [PMID: 29530848 DOI: 10.1128/AAC.02390-17] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
The objectives of this study were to describe meropenem pharmacokinetics (PK) in plasma and/or subcutaneous adipose tissue (SCT) in critically ill patients receiving extracorporeal membrane oxygenation (ECMO) treatment and to develop a population PK model to simulate alternative dosing regimens and modes of administration. We conducted a prospective observational study. Ten patients on ECMO treatment received meropenem (1 or 2 g) intravenously over 5 min every 8 h. Serial SCT concentrations were determined using microdialysis and compared with plasma concentrations. A population PK model of SCT and plasma data was developed using NONMEM. Time above clinical breakpoint MIC for Pseudomonas aeruginosa (8 mg/liter) was predicted for each patient. The following targets were evaluated: time for which the free (unbound) concentration is maintained above the MIC of at least 40% (40% fT>MIC), 100% fT>MIC, and 100% fT>4×MIC. For all dosing regimens simulated in both plasma and SCT, 40% fT>MIC was attained. However, prolonged meropenem infusion would be needed for 100% fT>MIC and 100% fT>4×MIC to be obtained. Meropenem plasma and SCT concentrations were associated with estimated creatinine clearance (eCLCr). Simulations showed that in patients with increased eCLCr, dose increment or continuous infusion may be needed to obtain therapeutic meropenem concentrations. In conclusion, our results show that using traditional targets of 40% fT>MIC for standard meropenem dosing of 1 g intravenously every 8 h is likely to provide sufficient meropenem concentration to treat the problematic pathogen P. aeruginosa for patients receiving ECMO treatment. However, for patients with an increased eCLCr, or if more aggressive targets, like 100% fT>MIC or 100% fT>4×MIC, are adopted, incremental dosing or continuous infusion may be needed.
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28
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Cojutti P, Sartor A, Righi E, Scarparo C, Bassetti M, Pea F. Population Pharmacokinetics of High-Dose Continuous-Infusion Meropenem and Considerations for Use in the Treatment of Infections Due to KPC-Producing Klebsiella pneumoniae. Antimicrob Agents Chemother 2017; 61:e00794-17. [PMID: 28760900 DOI: 10.1128/AAC.00794-17] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 07/22/2017] [Indexed: 01/15/2023] Open
Abstract
We assessed the population pharmacokinetics of high-dose continuous-infusion (HDCI) meropenem in a cohort of patients with Klebsiella pneumoniae carbapenemase (KPC)-producing Klebsiella pneumoniae (KPC-Kp) infections. Monte Carlo simulations were used to define the permissible HDCI meropenem regimens that could be safely considered for the treatment of KPC-Kp infections due to meropenem-resistant strains. Permissible doses were arbitrarily defined as those associated with a ≤10% to 15% likelihood of meropenem steady-state concentrations (Css) of >100 mg/liter. Probabilities of target attainment (PTA) of four incremental pharmacodynamic determinants for meropenem efficacy (100% T>1×MIC, 100% T>2×MIC, 100% T>3×MIC, and 100% T>4×MIC, where "T>MIC" represents the time during which the plasma concentration of this time-dependent antibacterial agent is maintained above the MIC for the pathogen) in relation to different classes of renal function were calculated. The cumulative fractions of response (CFR) for the permissible HDCI meropenem regimens were calculated against the MIC distribution of the KPC-Kp clinical isolates that were collected routinely at our University Hospital between 2013 and 2016 (n = 169). Ninety-seven meropenem Css were included in the analysis. The final model included creatinine clearance (CrCL) as a covariate and explained 94% of the population variability. Monte Carlo simulations based on licensed dosages of up to 6 g/day predicted an acceptable PTA (>80%) of 100% T>1×MIC against KPC-Kp with a meropenem MIC of ≤32 mg/liter in patients with a CrCL level of <130 ml/min. Dosages of 8 g/day were needed for achieving the same target in patients with CrCL at levels of 130 to 200 ml/min. In dealing with pathogens with a meropenem MIC of 64 mg/liter, HDCI regimens using meropenem at higher than licensed levels should be considered. In these cases, real-time therapeutic drug monitoring could be a useful adjunct for optimized care. The predicted CFR were >75% in all of the classes of renal function.
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