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Nelson NR, Quinn NJ, Bills S, Dellabella A, Gregar SE, Lear A, Marsolek L, Mounce C, Tobin M. Scoping review of drug dosing recommendations in sustained low-efficiency dialysis. Pharmacotherapy 2024; 44:948-955. [PMID: 39702906 DOI: 10.1002/phar.4628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 10/26/2024] [Accepted: 10/28/2024] [Indexed: 12/21/2024]
Abstract
The objective of this scoping review was to answer the question, "What has been published describing drug dosing in sustained low-efficiency dialysis (SLED)?" PubMed, Embase, and Scopus were searched on November 18, 2022. Methodology followed the Arksey and O'Malley framework for scoping reviews and Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews guidelines. Two investigators independently screened abstracts and full-texts of citations identified related to drug dosing and SLED. Exclusion criteria included case reports, conference abstracts, pediatrics, treatment dialysis, and non-human subjects. A standardized data extraction sheet was used to collate and summarize data. The quality of evidence was evaluated by two investigators using the Mixed Methods Appraisal Tool. A total of 230 citations were identified for screening. Of these, 29 studies met criteria for inclusion after full-text review. Four drug groups including beta-lactam antibiotics, non-beta-lactam antibiotics, antifungals, and levetiracetam were identified. Dialysate rates, dialysis durations, and medication doses used varied widely across studies. Outcomes and pharmacokinetic parameters that were assessed were also heterogenous. Drug dosing in SLED is challenging and there is minimal evidence available to guide appropriate dosing. Larger studies are needed to more accurately determine how to appropriately dose medications in SLED. Therapeutic drug monitoring should be used in all patients on SLED when available.
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Affiliation(s)
- Nicholas R Nelson
- Department of Translational Science and Inpatient Practice, Wingate University School of Pharmacy, Wingate, North Carolina, USA
| | - Nicholas J Quinn
- Department of Pharmacy, Atrium Health Carolinas Medical Center, Charlotte, North Carolina, USA
| | - Stephanie Bills
- Department of Pharmacy, Atrium Health Carolinas Medical Center, Charlotte, North Carolina, USA
| | - Alexander Dellabella
- Department of Pharmacy, Atrium Health Carolinas Medical Center, Charlotte, North Carolina, USA
| | - Sarah E Gregar
- Department of Pharmacy, Atrium Health Carolinas Medical Center, Charlotte, North Carolina, USA
| | - Alyssa Lear
- Department of Pharmacy, Atrium Health Union, Monroe, North Carolina, USA
| | - Legacy Marsolek
- Department of Pharmacy, Texas Health Harris Methodist Hospital, Fort Worth, Texas, USA
| | - Crystal Mounce
- Department of Pharmacy, Atrium Health Carolinas Medical Center, Charlotte, North Carolina, USA
| | - Morgan Tobin
- Department of Pharmacy, Atrium Health Carolinas Medical Center, Charlotte, North Carolina, USA
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Kilianova Z, Cizmarova I, Spaglova M, Piestansky J. Recent Trends in Therapeutic Drug Monitoring of Peptide Antibiotics. J Sep Sci 2024; 47:e202400583. [PMID: 39400453 DOI: 10.1002/jssc.202400583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2024] [Revised: 09/17/2024] [Accepted: 09/19/2024] [Indexed: 10/15/2024]
Abstract
Antimicrobial peptides take a specific position in the field of antibiotics (ATBs), however, from a large number of available molecules only a few of them were approved and are used in clinics. These therapeutic modalities play a crucial role in the management of diseases caused by multidrug-resistant bacterial pathogens and represent the last-line therapy for bacterial infections. Therefore, there is a demand for a rationale use of such ATBs based on optimization of the dosing strategy to minimize the risk of resistance and ensure the sustainable efficacy of the drug in real clinical practice. Therapeutic drug monitoring, as a measurement of drug concentration in the body fluids or tissues, results in the optimization of the patient´s medication and therapy outcome. This strategy is beneficial and could result in tailored therapy for different types of infection and the prolongation of the use and efficacy of ATBs in hospitals. This review paper provides an actual overview of approved antimicrobial peptides used in clinical practice and covers current trends in their analysis by convenient and advanced methodologies used for their identification and/or quantitation in biological matrices for therapeutic drug monitoring purposes. Special emphasis is given to the methods with perspective clinical outcomes.
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Affiliation(s)
- Zuzana Kilianova
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Comenius University in Bratislava, Bratislava, Slovak Republic
| | - Ivana Cizmarova
- Department of Pharmaceutical Analysis and Nuclear Pharmacy, Faculty of Pharmacy, Comenius University in Bratislava, Bratislava, Slovak Republic
| | - Miroslava Spaglova
- Department of Galenic Pharmacy, Faculty of Pharmacy, Comenius University in Bratislava, Bratislava, Slovak Republic
| | - Juraj Piestansky
- Department of Galenic Pharmacy, Faculty of Pharmacy, Comenius University in Bratislava, Bratislava, Slovak Republic
- Toxicological and Antidoping Center, Faculty of Pharmacy, Comenius University in Bratislava, Bratislava, Slovak Republic
- Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovak Republic
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Gras-Martín L, Plaza-Diaz A, Zarate-Tamames B, Vera-Artazcoz P, Torres OH, Bastida C, Soy D, Ruiz-Ramos J. Risk Factors Associated with Antibiotic Exposure Variability in Critically Ill Patients: A Systematic Review. Antibiotics (Basel) 2024; 13:801. [PMID: 39334976 PMCID: PMC11428266 DOI: 10.3390/antibiotics13090801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 08/15/2024] [Accepted: 08/22/2024] [Indexed: 09/30/2024] Open
Abstract
(1) Background: Knowledge about the behavior of antibiotics in critically ill patients has been increasing in recent years. Some studies have concluded that a high percentage may be outside the therapeutic range. The most likely cause of this is the pharmacokinetic variability of critically ill patients, but it is not clear which factors have the greatest impact. The aim of this systematic review is to identify risk factors among critically ill patients that may exhibit significant pharmacokinetic alterations, compromising treatment efficacy and safety. (2) Methods: The search included the PubMed, Web of Science, and Embase databases. (3) Results: We identified 246 observational studies and ten clinical trials. The most studied risk factors in the literature were renal function, weight, age, sex, and renal replacement therapy. Risk factors with the greatest impact included renal function, weight, renal replacement therapy, age, protein or albumin levels, and APACHE or SAPS scores. (4) Conclusions: The review allows us to identify which critically ill patients are at a higher risk of not reaching therapeutic targets and helps us to recognize the extensive number of risk factors that have been studied, guiding their inclusion in future studies. It is essential to continue researching, especially in real clinical practice and with clinical outcomes.
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Affiliation(s)
- Laura Gras-Martín
- Pharmacy Department, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria Claret 167, 08025 Barcelona, Spain
- Institut de Recerca Sant Pau (IR SANT PAU), Sat Quintí 77-79, 08041 Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
| | - Adrián Plaza-Diaz
- Pharmacy Department, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria Claret 167, 08025 Barcelona, Spain
- Institut de Recerca Sant Pau (IR SANT PAU), Sat Quintí 77-79, 08041 Barcelona, Spain
| | - Borja Zarate-Tamames
- Pharmacy Department, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria Claret 167, 08025 Barcelona, Spain
- Institut de Recerca Sant Pau (IR SANT PAU), Sat Quintí 77-79, 08041 Barcelona, Spain
| | - Paula Vera-Artazcoz
- Institut de Recerca Sant Pau (IR SANT PAU), Sat Quintí 77-79, 08041 Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
- Intensive Care Department, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria Claret 167, 08025 Barcelona, Spain
| | - Olga H Torres
- Institut de Recerca Sant Pau (IR SANT PAU), Sat Quintí 77-79, 08041 Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
- Geriatric Unit, Internal Medicine Department, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria Claret 167, 08025 Barcelona, Spain
| | - Carla Bastida
- Pharmacy Department, Division of Medicines, Hospital Clinic of Barcelona, Villarroel 170, 08036 Barcelona, Spain
- Department of Pharmacology, Toxicology and Therapeutical Chemistry, Faculty of Pharmacy, Universitat de Barcelona, Campus Diagonal, Av. de Joan XXIII, 27-31, 08028 Barcelona, Spain
| | - Dolors Soy
- Pharmacy Department, Division of Medicines, Hospital Clinic of Barcelona, Villarroel 170, 08036 Barcelona, Spain
- Department of Pharmacology, Toxicology and Therapeutical Chemistry, Faculty of Pharmacy, Universitat de Barcelona, Campus Diagonal, Av. de Joan XXIII, 27-31, 08028 Barcelona, Spain
| | - Jesús Ruiz-Ramos
- Pharmacy Department, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria Claret 167, 08025 Barcelona, Spain
- Institut de Recerca Sant Pau (IR SANT PAU), Sat Quintí 77-79, 08041 Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
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Hudson JQ, Hilgers MN, Gosmanova EO. Removal of common antimicrobial agents by sustained low-efficiency dialysis. Antimicrob Agents Chemother 2024; 68:e0157923. [PMID: 38349160 PMCID: PMC10916387 DOI: 10.1128/aac.01579-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/17/2024] [Indexed: 03/07/2024] Open
Abstract
Adequate dosing of antimicrobials is paramount for treating infections in critically ill patients undergoing kidney replacement therapy; however, little is known about antimicrobial removal by sustained low-efficiency dialysis (SLED). The objective was to quantify the removal of cefepime, daptomycin, meropenem, piperacillin-tazobactam, and vancomycin in patients undergoing SLED. Adult patients ≥18 years with acute kidney injury (AKI) or end-stage kidney disease receiving one of the select antimicrobials and requiring SLED were included. Blood and dialysate flow rates were maintained at 250 and 100 mL/min, respectively. Simultaneous arterial and venous blood samples for the analysis of antibiotic concentrations were collected hourly for 8 hours during SLED (on-SLED). Arterial samples were collected every 2 hours for up to 6 hours while not receiving SLED (off-SLED) for the calculation of SLED clearance, half-life (t1/2) on-SLED and off-SLED, and the fraction of removal by SLED (fD). Twenty-one patients completed the study: 52% male, mean age (±SD) 53 ± 13 years, and mean weight of 98 ± 30 kg. Eighty-six percent had AKI, and 4 patients were receiving cefepime, 3 daptomycin, 10 meropenem, 6 piperacillin-tazobactam, and 13 vancomycin. The average SLED time was 7.3 ± 1.1 hours, and the mean ultrafiltration rate was 95 ± 52 mL/hour (range 10-211). The t1/2 on-SLED was substantially lower than the off-SLED t1/2 for all antimicrobials, and the SLED fD varied between 44% and 77%. An 8-hour SLED session led to significant elimination of most antimicrobials evaluated. If SLED is performed, modification of the dosing regimen is warranted to avoid subtherapeutic concentrations.
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Affiliation(s)
- Joanna Q. Hudson
- Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, Tennessee, USA
- Department of Medicine (Nephrology), The University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Madelyn N. Hilgers
- Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Elvira O. Gosmanova
- Department of Medicine (Nephrology), The University of Tennessee Health Science Center, Memphis, Tennessee, USA
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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] [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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Grewal A, Thabet P, Dubinsky S, Purkayastha D, Wong K, Marko R, Hiremath S, Hutton B, Kanji S. Antimicrobial pharmacokinetics and dosing in critically ill adults receiving prolonged intermittent renal replacement therapy: A systematic review. Pharmacotherapy 2023; 43:1206-1220. [PMID: 37596844 DOI: 10.1002/phar.2861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 06/23/2023] [Accepted: 07/16/2023] [Indexed: 08/20/2023]
Abstract
Prolonged intermittent renal replacement therapy (PIRRT) is gaining popularity as a renal replacement modality in intensive care units, but there is a relative lack of guidance regarding antimicrobial clearance and dosing when compared with other modalities. The objectives of this systematic review were to: (1) identify and describe the pharmacokinetics (PK) of relevant antimicrobials used in critically ill adults receiving PIRRT, (2) evaluate the quality of evidence supporting these data, and (3) propose dosing recommendations based on the synthesis of these data. A search strategy for multiple databases was designed and executed to identify relevant published evidence describing the PK of antimicrobials used in critically ill adults receiving PIRRT. Quality assessment, evaluation of reporting, and relevant data extraction were conducted in duplicate. Synthesis of PK/pharmacodynamic (PD) outcomes, dosing recommendations from study authors, and physicochemical properties of included antibiotics were assessed by investigators in addition to the quality of evidence to develop dosing recommendations. Thirty-nine studies enrolling 452 patients met criteria for inclusion and provided PK and/or PD data for 20 antimicrobials in critically ill adults receiving PIRRT. Nineteen studies describe both PK and PD outcomes. Vancomycin (12 studies, 171 patients), meropenem (7 studies, 84 patients), and piperacillin/tazobactam (5 studies, 56 patients) were the most frequent antimicrobials encountered. The quality of evidence was deemed strong for 7/20 antimicrobials, and strong dosing recommendations were determined for 9/20 antimicrobials. This systematic review updates and addresses issues of quality in previous systematic reviews on this topic. Despite an overall low quality of evidence, strong recommendations were able to be made for almost half of the identified antimicrobials. Knowledge gaps persist for many antimicrobials, and higher quality studies (i.e., population PK studies with assessment of PD target attainment) are needed to address these gaps.
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Affiliation(s)
| | | | | | | | - Kristy Wong
- University of Waterloo, Waterloo, Ontario, Canada
| | - Ryan Marko
- The Ottawa Hospital, Ottawa, Ontario, Canada
| | | | - Brian Hutton
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Salmaan Kanji
- The Ottawa Hospital and Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
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Coulibaly B, Maire P, Guitton J, Pelletier S, Tangara M, Aulagner G, Goutelle S. Population Pharmacokinetics of Vancomycin in Patients Receiving Hemodialysis in a Malian and a French Center and Simulation of the Optimal Loading Dose. Ther Drug Monit 2023; 45:637-643. [PMID: 36750447 DOI: 10.1097/ftd.0000000000001065] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 09/07/2022] [Indexed: 02/09/2023]
Abstract
PURPOSE Vancomycin dosing remains challenging in patients receiving intermittent hemodialysis, especially in developing countries, where access to therapeutic drug monitoring and model-based dose adjustment services is limited. The objectives of this study were to describe vancomycin population PK in patients receiving hemodialysis in a Malian and French center and examine the optimal loading dose of vancomycin in this setting. METHODS Population pharmacokinetic analysis was conducted using Pmetrics in 31 Malian and 27 French hemodialysis patients, having a total of 309 vancomycin plasma concentrations. Structural and covariate analyses were based on goodness-of-fit criteria. The final model was used to perform simulations of the vancomycin loading dose, targeting a daily area under the concentration-time curve (AUC) of 400-600 mg.h/L or trough concentration of 15-20 mg/L at 48 hours. RESULTS After 48 hours of therapy, 68% of Malian and 63% of French patients exhibited a daily AUC of <400. The final model was a 2-compartment model, with hemodialysis influencing vancomycin elimination and age influencing the vancomycin volume distribution. Younger Malian patients exhibited a lower distribution volume than French patients. Dosing simulation suggested that loading doses of 1500, 2000, and 2500 mg would be required to minimize underexposure in patients aged 30, 50, and 70 years, respectively. CONCLUSIONS In this study, a low AUC was frequently observed in hemodialysis patients in Mali and France after a standard vancomycin loading dose. A larger dose is necessary to achieve the currently recommended AUC target. However, the proposed dosing algorithm requires further clinical evaluation.
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Affiliation(s)
- Balla Coulibaly
- Univ Lyon, Université Claude Bernard Lyon 1, INSA Lyon, CNRS, MATEIS, UMR5510, Lyon, France
- Université des Sciences, des Techniques et des Technologies de Bamako, Bamako, Mali
| | - Pascal Maire
- Univ Lyon, Université Claude Bernard Lyon 1, UMR CNRS 5558, Laboratoire de Biométrie et Biologie Évolutive, Villeurbanne, France
- Univ Lyon, Université Claude Bernard Lyon 1, Faculté de Médecine Lyon Sud, Pierre-Bénite, France
| | - Jêrome Guitton
- Univ Lyon, Université Claude Bernard Lyon 1, ISPB-Faculté de Pharmacie de Lyon, Lyon, France
- Hospices Civils de Lyon, Groupement Hospitalier Sud, Service de Biochimie et Biologie Moléculaire, UM Pharmacologie-Toxicologie, Lyon, France
| | - Solenne Pelletier
- Hospices Civils de Lyon, Centre Hospitalier Lyon Sud, Service de Néphrologie, Lyon, France
| | - Moustapha Tangara
- Centre Hospitalo-Universitaire du Point-G de Bamako, Service de Néphrologie, Lyon, France
| | - Gilles Aulagner
- Univ Lyon, Université Claude Bernard Lyon 1, INSA Lyon, CNRS, MATEIS, UMR5510, Lyon, France
- Académie Nationale de Pharmacie, Paris, France; and
| | - Sylvain Goutelle
- Univ Lyon, Université Claude Bernard Lyon 1, UMR CNRS 5558, Laboratoire de Biométrie et Biologie Évolutive, Villeurbanne, France
- Univ Lyon, Université Claude Bernard Lyon 1, ISPB-Faculté de Pharmacie de Lyon, Lyon, France
- Hospices Civils de Lyon, Groupement Hospitalier Nord, Service de Pharmacie, Lyon, France
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Lewis SJ, Jang SM, Mueller BA. Vancomycin and daptomycin dosing recommendations in patients receiving home hemodialysis using Monte Carlo simulation. BMC Nephrol 2023; 24:270. [PMID: 37710245 PMCID: PMC10500909 DOI: 10.1186/s12882-023-03314-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 08/29/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Few drug dosing recommendations for patients receiving home hemodialysis (HHD) have been published which has hindered the adoption of HHD. HHD regimens vary widely and differ considerably from conventional, thrice weekly, in-center hemodialysis in terms of treatment frequency, duration and blood and dialysate flow rates. Consequently, vancomycin and daptomycin clearances in HHD are also likely to be different, consequently HHD dosing regimens must be developed to ensure efficacy and minimize toxicity when these antibiotics are used. Many HHD regimens are used clinically, this study modeled ten common HHD regimens and determined optimal vancomycin and daptomycin dosing for each HHD regimen. METHODS Monte Carlo simulations using pharmacokinetic data derived from the literature and demographic data from a large HHD program treating patients with end stage kidney disease were incorporated into a one-compartment pharmacokinetic model. Virtual vancomycin and daptomycin doses were administered post-HHD and drug exposures were determined in 5,000 virtual patients receiving ten different HHD regimens. Serum concentration monitoring with subsequent dose changes was incorporated into the vancomycin models. Pharmacodynamic target attainment rates were determined for each studied dose. The lowest possible doses that met predefined targets in virtual patients were chosen as optimal doses. RESULTS HHD frequency, total dialysate volumes and HHD durations influenced drug exposure and led to different dosing regimens to meet targets. Antibiotic dosing regimens were identified that could meet targets for 3- and 7-h HHD regimens occurring every other day or 4-5 days/week. HHD regimens with 3-day interdialytic periods required higher doses prior to the 3-day period. The addition of vancomycin serum concentration monitoring allowed for calculation of necessary dosing changes which increased the number of virtual subjects meeting pharmacodynamic targets. CONCLUSIONS Doses of vancomycin and daptomycin that will meet desired pharmacodynamic targets in HHD are dependent on patient and HHD-specific factors. Doses used in conventional thrice weekly hemodialysis are unlikely to meet treatment goals. The antibiotic regimens paired with the HHD parameters studied in this analysis are likely to meet goals but require clinical validation.
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Affiliation(s)
- Susan J. Lewis
- University of Findlay College of Pharmacy, 1000 N. Main Street, Findlay, OH 45840 USA
- Mercy Health - St. Anne Hospital, Toledo, OH 43623 USA
| | - Soo Min Jang
- Proacture Consulting Group, 6905 Telegraph Rd, Bloomfield Hills, MI 48304 USA
| | - Bruce A. Mueller
- University of Michigan College of Pharmacy, 428 Church Street, Ann Arbor, MI 48109-1065 USA
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Wei S, Chen J, Zhao Z, Mei S. External validation of population pharmacokinetic models of vancomycin in postoperative neurosurgical patients. Eur J Clin Pharmacol 2023; 79:1031-1042. [PMID: 37261482 DOI: 10.1007/s00228-023-03511-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 05/19/2023] [Indexed: 06/02/2023]
Abstract
OBJECTIVE Vancomycin is commonly used in the prevention and treatment of intracranial infections in postoperative neurosurgical patients with narrow therapeutic window and large pharmacokinetic variations. Several population pharmacokinetic (PPK) models of vancomycin have been established for neurosurgical patients. But comprehensive external evaluation has not been performed for almost all models. The objective of this study was to evaluate the predictive ability of published vancomycin PPK models in adult postoperative neurosurgical patients using an independent dataset. METHOD PubMed, Embase and China National Knowledge Internet databases were searched to identify published vancomycin PPK models in adult postoperative neurosurgical patients. Prediction-based and simulation-based diagnostics were used to evaluate model predictability. Bayesian forecasting was used to assess the influence of prior concentration on model prediction performance. RESULT A total of 763 vancomycin plasma concentrations from 493 postoperative neurosurgical patients were included in the external dataset. Eight population pharmacokinetic models of vancomycin in postoperative neurosurgical patients were included and evaluated. The model by Zhang et al. exhibited the best predictive performance in prediction-based diagnostics and prediction-corrected visual predictive checks, followed by the model by Shen et al. The predictive performance of other models was not satisfactory. The normalized predictive distribution error test shows that none of the models is suitable to describe our data. The predictive performance of vancomycin models was obviously improved by maximum a posteriori Bayesian forecasting. CONCLUSION The published PPK models for adult postoperative neurosurgical patients show extensive variation in predictive performance in our patients. Although it is challenging to recommend initial doses of vancomycin from these predictive models, the combination of model-based prediction and therapeutic drug monitoring can be used for dose optimization.
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Affiliation(s)
- Shifeng Wei
- Department of Pharmacy, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Beijing, 100070, People's Republic of China
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Jingcheng Chen
- Department of Pharmacy, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Beijing, 100070, People's Republic of China
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Zhigang Zhao
- Department of Pharmacy, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Beijing, 100070, People's Republic of China.
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China.
| | - Shenghui Mei
- Department of Pharmacy, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Beijing, 100070, People's Republic of China.
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China.
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Clark EG, Vijayan A. How I prescribe prolonged intermittent renal replacement therapy. Crit Care 2023; 27:88. [PMID: 36882851 PMCID: PMC9992907 DOI: 10.1186/s13054-023-04389-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 03/02/2023] [Indexed: 03/09/2023] Open
Abstract
Prolonged Intermittent Renal Replacement Therapy (PIRRT) is the term used to define 'hybrid' forms of renal replacement therapy. PIRRT can be provided using an intermittent hemodialysis machine or a continuous renal replacement therapy (CRRT) machine. Treatments are provided for a longer duration than typical intermittent hemodialysis treatments (6-12 h vs. 3-4 h, respectively) but not 24 h per day as is done for continuous renal replacement therapy (CRRT). Usually, PIRRT treatments are provided 4 to 7 times per week. PIRRT is a cost-effective and flexible modality with which to safely provide RRT for critically ill patients. We present a brief review on the use of PIRRT in the ICU with a focus on how we prescribe it in that setting.
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Affiliation(s)
- Edward G Clark
- Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, Canada.
| | - Anitha Vijayan
- Division of Nephrology, Washington University in St. Louis, St. Louis, MO, USA
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Abstract
Prolonged Intermittent Renal Replacement Therapy (PIRRT) is the term used to define 'hybrid' forms of renal replacement therapy. PIRRT can be provided using an intermittent hemodialysis machine or a continuous renal replacement therapy (CRRT) machine. Treatments are provided for a longer duration than typical intermittent hemodialysis treatments (6-12 h vs. 3-4 h, respectively) but not 24 h per day as is done for continuous renal replacement therapy (CRRT). Usually, PIRRT treatments are provided 4 to 7 times per week. PIRRT is a cost-effective and flexible modality with which to safely provide RRT for critically ill patients. We present a brief review on the use of PIRRT in the ICU with a focus on how we prescribe it in that setting.
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Affiliation(s)
- Edward G Clark
- Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, Canada.
| | - Anitha Vijayan
- Division of Nephrology, Washington University in St. Louis, St. Louis, MO, USA
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Wei S, Zhang D, Zhao Z, Mei S. Population pharmacokinetic model of vancomycin in postoperative neurosurgical patients. Front Pharmacol 2022; 13:1005791. [PMID: 36225566 PMCID: PMC9548544 DOI: 10.3389/fphar.2022.1005791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/13/2022] [Indexed: 12/03/2022] Open
Abstract
Objective: Vancomycin is commonly used in postoperative neurosurgical patients for empirical anti-infective treatment due to the low success rate of bacterial culture in cerebrospinal fluid (about 20%) and the high mortality of intracranial infection. At conventional doses, the rate of target achievement for vancomycin trough concentration is low and the pharmacokinetics of vancomycin varies greatly in these patients, which often leads to treatment failure. The objective of this study was to establish a population pharmacokinetic (PPK) model of vancomycin in postoperative neurosurgical patients for precision medicine. Method: A total of 895 vancomycin plasma concentrations from 560 patients (497 postoperative neurosurgical patients) were retrospectively collected. The model was analyzed by nonlinear mixed effects modeling method. One-compartment model and mixed residual model was employed. The influence of covariates on model parameters was tested by forward addition and backward elimination. Goodness-of-fit, bootstrap and visual predictive check were used for model evaluation. Monte Carlo simulations were employed for dosing strategies with AUC24 targets 400–600. Result: Estimated glomerular filtration rate (eGFR), body weight (BW) and mannitol had significant influence on vancomycin clearance (CL). eGFR(mL/min)=144×(Scr/a)b×0.993age, for female, a = 0.7, Scr ≤ 0.7 mg/dl, b = −0.329, Scr > 0.7 mg/dl, b = −1.209; for male, a = 0.9, Scr ≤ 0.9 mg/dl, b = −0.411, Scr > 0.9 mg/dl, b = −1.210. Vancomycin clearance was accelerated when co-medicated with mannitol and increased with eGFR and BW. In the final model, the population typical value is 7.98 L/h for CL and 60.2 L for apparent distribution volume, CL (L/h)=7.98×(eGFR/115.2)0.8×(BW/70)0.3×eA, where A = 0.13 when co-medicated with mannitol, otherwise A = 0. The model is stable and effective, with good predictability. Conclusion: In postoperative neurosurgical patients, a higher dose of vancomycin may be required due to the augmented renal function and the commonly used mannitol, especially in those with high body weight. Our vancomycin PPK model could be used for individualized treatment in postoperative neurosurgical patients.
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Affiliation(s)
- Shifeng Wei
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, China
| | - Dongjie Zhang
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, China
| | - Zhigang Zhao
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, China
- *Correspondence: Zhigang Zhao, ; Shenghui Mei,
| | - Shenghui Mei
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, China
- *Correspondence: Zhigang Zhao, ; Shenghui Mei,
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13
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Lee A, De Waele JJ, Lipman J. Antibiotic dosing in sustained low-efficiency daily dialysis (SLEDD): Basic concepts and dosing strategies. J Crit Care 2021; 67:104-107. [PMID: 34741962 DOI: 10.1016/j.jcrc.2021.10.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 10/24/2021] [Indexed: 11/24/2022]
Affiliation(s)
- Anna Lee
- Department of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, SAR, China
| | - Jan J De Waele
- Department of Critical Care Medicine, Ghent University Hospital, Gent, Belgium; Division of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Jeffrey Lipman
- Jamieson Trauma Institute, Royal Brisbane and Women's Hospital, Herston, Brisbane, Queensland, Australia; The University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, Brisbane, Queensland, Australia; Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nimes University Hospital, University of Montpellier, Nimes, France.
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14
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Rawlins MDM, Misko J, Roberts JA. Antimicrobial dosing in prolonged intermittent renal replacement therapy: a systematic review. JOURNAL OF PHARMACY PRACTICE AND RESEARCH 2021. [DOI: 10.1002/jppr.1723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Matthew D. M. Rawlins
- Senior Pharmacist Antimicrobial Stewardship Pharmacy Department Fiona Stanley Hospital Murdoch Australia
| | - Jeanie Misko
- Medicines Information Senior Pharmacist Pharmacy Department Fiona Stanley Hospital Murdoch Australia
| | - Jason A. Roberts
- Faculty of Medicine University of Queensland Centre for Clinical Research The University of Queensland Brisbane Australia
- Departments of Pharmacy and Intensive Care Medicine Royal Brisbane and Women's Hospital Brisbane Australia
- Division of Anaesthesiology Critical Care Emergency and Pain Medicine Nîmes University Hospital University of Montpellier Nîmes France
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15
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Rider TR, Silinskie KM, Hite MS, Bress J. Pharmacokinetics of Vancomycin in Critically Ill Patients Undergoing Sustained Low-Efficiency Dialysis. Pharmacotherapy 2020; 40:1036-1041. [PMID: 32866291 DOI: 10.1002/phar.2460] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Vancomycin pharmacokinetic data in critically ill patients receiving sustained low-efficiency dialysis (SLED) is limited. Published data using vancomycin with intermittent hemodialysis and continuous renal replacement therapy may not be applicable to hybrid dialysis modalities such as SLED. Current drug references lack recommendations for vancomycin dosing in patients receiving SLED. OBJECTIVE The objective of this study was to determine vancomycin pharmacokinetics during SLED. METHODS A total of 20 patients who were critically ill with oliguric or anuric renal failure who received vancomycin and SLED were included in the study. Surrounding one SLED session, serum vancomycin blood samples were drawn before the initiation of SLED, at the termination of SLED, and 4 hours after completion of SLED treatment. Following this, patients received vancomycin, dosed to target a goal peak of 20-30 mcg/ml. A vancomycin peak level was drawn 1 hour after the end of the infusion. SLED treatment duration was at least 7 hours. Continuous data are reported as median (interquartile range) and categorical data as percentage. RESULTS The vancomycin elimination rate and half-life were 0.051 hours (0.042-0.074 hours) and 13.6 hours (9.4-16.6 hours), respectively. SLED reduced vancomycin serum concentrations by 35.4% (31.5-43.8%), and vancomycin rebound was 9.8% (2.5-13.7%). The vancomycin dose administered post-SLED was 1000 mg (875-1125 mg). For 18 patients, the patient-specific volume of distribution was 0.88 L/kg (0.67-1.1 L/kg), vancomycin clearance was 3.5 L/hr (2.2-5.2 L/hr), and the area under the concentration-time curve during the study time period was 280.8 mg·hr/L (254.7-297.3 mg·hr/L). CONCLUSION Vancomycin is significantly removed during SLED with little rebound in serum concentrations 4 hours after completion of SLED. Based on study findings, patients who are critically ill require additional vancomycin dosing after each SLED session to maintain therapeutic post-SLED vancomycin concentrations. Therapeutic drug monitoring of vancomycin is recommended during SLED.
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Affiliation(s)
- Taylor R Rider
- Department of Pharmacy, Rochester General Hospital, Rochester, New York, USA
| | - Kevin M Silinskie
- Department of Pharmacy, Rochester General Hospital, Rochester, New York, USA
| | - Mindee S Hite
- Department of Pharmacy, Rochester General Hospital, Rochester, New York, USA
| | - Jonathan Bress
- Nephrology Department, Rochester General Hospital, Rochester, New York, USA
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Oliveira MS, Machado AS, Mendes ET, Chaves L, Perdigão Neto LV, Vieira da Silva C, Cavani Jorge Santos SR, Sanches C, Macedo E, Levin AS. Pharmacokinetic and Pharmacodynamic Characteristics of Vancomycin and Meropenem in Critically Ill Patients Receiving Sustained Low-efficiency Dialysis. Clin Ther 2020; 42:625-633. [PMID: 32199609 DOI: 10.1016/j.clinthera.2020.02.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 01/14/2020] [Accepted: 02/14/2020] [Indexed: 01/22/2023]
Abstract
PURPOSE Antibiotic dosing is challenge in critically ill patients undergoing renal replacement therapy. Our aim was to evaluate the pharmacokinetic and pharmacodynamic (PK/PD) characteristics of meropenem and vancomycin in patients undergoing SLED. METHODS Consecutive ICU patients undergoing SLED and receiving meropenem and/or vancomycin were prospectively evaluated. Serial blood samples were collected before, during, and at the end of SLED sessions. Antimicrobial concentrations were determined using a validated HPLC method. Noncompartmental PK analysis was performed. AUC was determined for vancomycin. For meropenem, time above MIC was calculated. FINDINGS A total of 24 patients receiving vancomycin and 21 receiving meropenem were included; 170 plasma samples were obtained. Median serum vancomycin and meropenem concentrations before SLED were 24.5 and 28.0 μg/mL, respectively; after SLED, 14 and 6 μg/mL. Mean removal was 42% with vancomycin and 78% with meropenem. With vancomycin, 19 (83%), 16 (70%), and 15 (65%) patients would have achieved the target (AUC0-24 >400) considering MICs of 1, 2, and 4 mg/L, respectively. With meropenem, 17 (85%), 14 (70%), and 10 (50%) patients would have achieved the target (100% of time above MIC) if infected with isolates with MICs of 1, 4, and 8 mg/L, respectively. IMPLICATIONS SLED clearances of meropenem and vancomycin were 3-fold higher than the clearance described by continuous methods. Despite this finding, overall high PK/PD target attainments were obtained, except for at higher MICs. We suggest a maintenance dose of 1 g TID or BID of meropenem. With vancomycin, a more individualized approach using therapeutic drug monitoring should be used, as commercial assays are available.
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Affiliation(s)
- Maura Salaroli Oliveira
- Department of Infection Control, Faculty of Medicine, Clinical Hospital, University of São Paulo, São Paulo, Brazil.
| | - Anna Silva Machado
- Department of Infection Control, Faculty of Medicine, Clinical Hospital, University of São Paulo, São Paulo, Brazil
| | - Elisa Teixeira Mendes
- Department of Infection Control, Faculty of Medicine, Clinical Hospital, University of São Paulo, São Paulo, Brazil
| | - Lucas Chaves
- Department of Infection Control, Faculty of Medicine, Clinical Hospital, University of São Paulo, São Paulo, Brazil
| | - Lauro Vieira Perdigão Neto
- Department of Infection Control, Faculty of Medicine, Clinical Hospital, University of São Paulo, São Paulo, Brazil; Department of Infectious Diseases, Laboratory of Medical Investigation, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil
| | | | | | - Cristina Sanches
- Federal University of São João del Rei, São João del Rei, Brazil
| | - Etienne Macedo
- Division of Nephrology, Department of Medicine, University of California San Diego, California, USA; Division of Nephrology, Department of Medicine, University of São Paulo, São Paulo, Brazil
| | - Anna S Levin
- Department of Infection Control, Faculty of Medicine, Clinical Hospital, University of São Paulo, São Paulo, Brazil; Department of Infectious Diseases, Laboratory of Medical Investigation, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil
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