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Oda K, Jono H, Saito H. Model-Informed Precision Dosing of Vancomycin in Adult Patients Undergoing Hemodialysis. Antimicrob Agents Chemother 2023; 67:e0008923. [PMID: 37195225 PMCID: PMC10286780 DOI: 10.1128/aac.00089-23] [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: 01/19/2023] [Accepted: 04/19/2023] [Indexed: 05/18/2023] Open
Abstract
Model-informed precision dosing (MIPD) maximizes the probability of successful dosing in patients undergoing hemodialysis. In these patients, area under the concentration-time curve (AUC)-guided dosing is recommended for vancomycin. However, this model is yet to be developed. The purpose of this study was to address this issue. The overall mass transfer-area coefficient (KoA) was used for the estimation of vancomycin hemodialysis clearance. A population pharmacokinetic (popPK) model was developed, resulting in a fixed-effect parameter for nonhemodialysis clearance of 0.316 liters/h. This popPK model was externally evaluated, with a resulting mean absolute error of 13.4% and mean prediction error of -0.17%. KoA-predicted hemodialysis clearance was prospectively evaluated for vancomycin (n = 10) and meropenem (n = 10), with a correlation equation being obtained (slope of 1.099, intercept of 1.642; r = 0.927, P < 0.001). An experimental evaluation using an in vitro hemodialysis circuit validated the developed model of KoA-predicted hemodialysis clearance using vancomycin, meropenem, vitamin B6, and inulin in 12 hemodialysis settings. This popPK model indicated a maximum a priori dosing for vancomycin-a loading dose of 30 mg/kg, which achieves the target AUC for 24 h after first dose with a probability of 93.0%, ensured by a predialysis concentration of >15 μg/mL. Maintenance doses of 12 mg/kg after every hemodialysis session could achieve the required exposure, with a probability of 80.6%. In conclusion, this study demonstrated that KoA-predicted hemodialysis clearance may lead to an upgrade from conventional dosing to MIPD for vancomycin in patients undergoing hemodialysis.
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Affiliation(s)
- Kazutaka Oda
- Department of Pharmacy, Kumamoto University Hospital, Chuo-ku, Kumamoto, Japan
| | - Hirofumi Jono
- Department of Pharmacy, Kumamoto University Hospital, Chuo-ku, Kumamoto, Japan
- Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University, Chuo-ku, Kumamoto, Japan
| | - Hideyuki Saito
- Department of Pharmacy, Kumamoto University Hospital, Chuo-ku, Kumamoto, Japan
- Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University, Chuo-ku, Kumamoto, Japan
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Niibe Y, Suzuki T, Yamazaki S, Suzuki T, Hattori N, Nakada TA, Ishii I. Pharmacokinetics of vancomycin and meropenem during continuous online hemodiafiltration: A case report. J Glob Antimicrob Resist 2023; 33:31-34. [PMID: 36871890 DOI: 10.1016/j.jgar.2023.02.017] [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: 11/08/2022] [Revised: 02/09/2023] [Accepted: 02/14/2023] [Indexed: 03/06/2023] Open
Abstract
OBJECTIVES The pharmacokinetics of vancomycin and meropenem in patients treated with continuous online hemodiafiltration (OL-HDF) are not well understood. CASE We evaluated dialytic clearance and serum concentrations of vancomycin and meropenem by OL-HDF in a critically ill patient with soft tissue infection. The mean clearance of OL-HDF and mean serum concentrations during continuous OL-HDF were 155.2 mL/min and 23.1 µg/mL for vancomycin and 145.6 mL/min and 22.7 µg/mL for meropenem. CONCLUSION Vancomycin and meropenem showed high clearance rates during continuous OL-HDF. However, continuous infusion of these agents at high doses maintained therapeutic serum concentrations.
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Affiliation(s)
- Yoko Niibe
- Division of Pharmacy, Chiba University Hospital, Chiba, Japan.
| | - Tatsuya Suzuki
- Division of Pharmacy, Chiba University Hospital, Chiba, Japan
| | - Shingo Yamazaki
- Division of Pharmacy, Chiba University Hospital, Chiba, Japan
| | - Takaaki Suzuki
- Division of Pharmacy, Chiba University Hospital, Chiba, Japan; Department of Clinical Pharmacy, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan
| | - Noriyuki Hattori
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Taka-Aki Nakada
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Itsuko Ishii
- Division of Pharmacy, Chiba University Hospital, Chiba, Japan; Department of Clinical Pharmacy, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan
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Galuzio PP, Cherif A. Recent Advances and Future Perspectives in the Use of Machine Learning and Mathematical Models in Nephrology. Adv Chronic Kidney Dis 2022; 29:472-479. [PMID: 36253031 DOI: 10.1053/j.ackd.2022.07.002] [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: 03/30/2022] [Revised: 06/21/2022] [Accepted: 07/07/2022] [Indexed: 01/25/2023]
Abstract
We reviewed some of the latest advancements in the use of mathematical models in nephrology. We looked over 2 distinct categories of mathematical models that are widely used in biological research and pointed out some of their strengths and weaknesses when applied to health care, especially in the context of nephrology. A mechanistic dynamical system allows the representation of causal relations among the system variables but with a more complex and longer development/implementation phase. Artificial intelligence/machine learning provides predictive tools that allow identifying correlative patterns in large data sets, but they are usually harder-to-interpret black boxes. Chronic kidney disease (CKD), a major worldwide health problem, generates copious quantities of data that can be leveraged by choice of the appropriate model; also, there is a large number of dialysis parameters that need to be determined at every treatment session that can benefit from predictive mechanistic models. Following important steps in the use of mathematical methods in medical science might be in the intersection of seemingly antagonistic frameworks, by leveraging the strength of each to provide better care.
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Affiliation(s)
| | - Alhaji Cherif
- Research Division, Renal Research Institute, New York, NY.
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Yaxley J, Scott T. Dialysis and Extracorporeal Therapies for Enhanced Elimination of Toxic Ingestions and Poisoning. Ther Apher Dial 2022; 26:865-878. [PMID: 35355407 DOI: 10.1111/1744-9987.13843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 02/16/2022] [Accepted: 03/27/2022] [Indexed: 11/28/2022]
Abstract
Poisoning and toxic ingestions cause significant morbidity and mortality worldwide. Extracorporeal therapies such as dialysis, haemoperfusion and plasma exchange are selectively applied to patients with severe intoxications unresponsive to standard interventions and can be lifesaving. Extracorporeal therapies are a complex but fundamental aspect of the practice of nephrology. Without high-quality evidence to guide implementation, an understanding of toxicokinetics and the physiochemical principles of the enhanced elimination techniques is especially important. This review provides a comphrensive, user-friendly outline of the application of extracorporeal therapy in the poisoned patient.
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Affiliation(s)
- Julian Yaxley
- Department of Nephrology, Gold Coast University Hospital, Southport, Qld, Australia.,Department of Nephrology, Cairns Hospital, Cairns, Qld, Australia.,Department of Intensive Care Medicine, Gold Coast University Hospital, Southport, Qld, Australia
| | - Tahira Scott
- Department of Nephrology, Cairns Hospital, Cairns, Qld, Australia.,Department of Nephrology, Royal Brisbane and Women's Hospital, Herston, Qld, Australia
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Martínez-Miguel P, Albalate M, Durán-Laforet V, Peña-Martínez C, de Sequera P, Bouarich H, Peña-Esparragoza K, López-Ongil S, Lizasoain I, Sánchez-Prieto J, Torres M, Moro MÁ, Rodríguez-Puyol D. Effective glutamate clearance from the systemic circulation by hemodialysis: Potential relevance for cerebral ischemia management. Artif Organs 2021; 45:1183-1188. [PMID: 33560549 DOI: 10.1111/aor.13933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 01/30/2021] [Accepted: 02/03/2021] [Indexed: 11/27/2022]
Abstract
High glutamate levels after head trauma or cerebral ischemia have neurotoxic effects. The objective of the present study was to evaluate the efficacy of hemodialysis to remove glutamate from the blood and to assess the behavior of this small molecule. Ten patients with end-renal disease on hemodialysis were included in the study. Glutamate clearance was evaluated within the first hour of hemodialysis on a midweek dialysis day on five patients who underwent low flux hemodialysis, whereas the other five patients underwent highly efficient hemodialysis (high flux hemodialysis on one day and online hemodiafiltration on another day). Glutamate clearance with hemodialysis was very effective and did not show any differences between the techniques (low flux: 214 [55], high flux: 204 [37], online hemodiafiltration: 202 [16], median (interquartile range), P = .7). Glutamate clearance was almost equivalent to vascular access plasma flow and it was not affected by dialyzer permeability or ultrafiltration rate. After a hemodialysis session, a significant decrease in glutamate blood level was observed (prehemodialysis: 59.7 [36.1], posthemodialysis 37.0 [49.2], P = .005). Dialysis performed under fasting condition showed higher glutamate reduction rate (60%) than that under feeding condition (20%). Hemodialysis may be an effective method to reduce glutamate blood levels, and the molecule clearance does not differ between the different techniques used. Considering previous results in experimental models, hemodialysis without hemodynamic stress, could be considered for reducing glutamate neurotoxic effects in acute ischemic strokes of patients in chronic hemodialysis programs.
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Affiliation(s)
| | - Marta Albalate
- Servicio de Nefrología, Hospital Universitario Infanta Leonor, Madrid, Spain
| | - Violeta Durán-Laforet
- Departamento de Farmacología y Toxicología, Facultad de Medicina, Universidad Complutense, Madrid, Spain
| | - Carolina Peña-Martínez
- Departamento de Farmacología y Toxicología, Facultad de Medicina, Universidad Complutense, Madrid, Spain
| | - Patricia de Sequera
- Servicio de Nefrología, Hospital Universitario Infanta Leonor, Madrid, Spain
| | - Hanane Bouarich
- Servicio de Nefrología, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Spain
| | - Korina Peña-Esparragoza
- Servicio de Nefrología, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Spain
| | - Susana López-Ongil
- Fundación de Investigación Biomédica, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Spain
| | - Ignacio Lizasoain
- Departamento de Farmacología y Toxicología, Facultad de Medicina, Universidad Complutense, Madrid, Spain
| | - José Sánchez-Prieto
- Departamento de Bioquímica y Biología Molecular, Facultad de Veterinaria, Universidad Complutense, Madrid, Spain
| | - Magdalena Torres
- Departamento de Bioquímica y Biología Molecular, Facultad de Veterinaria, Universidad Complutense, Madrid, Spain
| | - María Ángeles Moro
- Departamento de Farmacología y Toxicología, Facultad de Medicina, Universidad Complutense, Madrid, Spain
| | - Diego Rodríguez-Puyol
- Servicio de Nefrología, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Spain.,Departmento de Medicina y Especialidades Médicas, Facultad de Medicina, Universidad de Alcalá, Alcalá de Henares, Spain
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Malchesky PS. Artificial Organs
2019: A year in review. Artif Organs 2020; 44:314-338. [DOI: 10.1111/aor.13650] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 01/14/2020] [Accepted: 01/14/2020] [Indexed: 12/13/2022]
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