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Wahl P, Drennan P, Schläppi M, Achermann Y, Leunig M, Gautier E, Benninger E. Systemic antibiotic prophylaxis in arthroplasty - a narrative review of how many doses are optimal. EFORT Open Rev 2024; 9:1106-1119. [PMID: 39620563 PMCID: PMC11619733 DOI: 10.1530/eor-24-0022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/08/2024] Open
Abstract
Systemic antibiotic prophylaxis (SAP) is well-established in arthroplasty to prevent periprosthetic joint infection. However, the optimal duration and dosing of SAP remain a matter of debate, as evidenced by ongoing discordance between recommendations and clinical practice, reflected in the heterogeneity and imprecision of national and societal guidelines. The evidence currently available regarding the duration of SAP is summarised and discussed, specifically the postoperative repeated administration of antimicrobials within the first 24 h. The evidence available suffers from limitations, specifically deficiencies in outcome assessments in the available randomised controlled trials. Observational studies suggest that a short postoperative prolongation (<24 h) of SAP in arthroplasty may result in superior long-term outcomes compared to a single dose, and that an optimal dosing strategy, which warrants further prospective evaluation, may involve 'stacked dosing' in the early postoperative period, with re-administration every two half-lives when using commonly recommended beta-lactam antibiotics, instead of repetition at usual dosing intervals over 24 h. A stacked approach would also cover recognised indications for repetition, such as major blood loss and increased duration of operation, potentially simplifying prescribing protocols. Pharmacokinetic simulations are provided to illustrate the distinct concentration-time profiles associated with different prophylaxis regimens. Prolonging SAP beyond 24 h is not recommended. This review concludes by providing recommendations for further research, particularly a call to document SAP regimens with sufficient detail (choice of drug, dose regimen, and duration of administration) into established national arthroplasty registries, which should rapidly enable a significantly more nuanced understanding of these critical issues than permitted by the current literature.
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Affiliation(s)
- Peter Wahl
- Division of Orthopaedics and Traumatology, Cantonal Hospital Winterthur, Winterthur, Switzerland
- Faculty of Medicine, University of Bern, Bern, Switzerland
| | - Philip Drennan
- Kennedy Institute, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Michel Schläppi
- Division of Orthopaedics and Traumatology, Cantonal Hospital Winterthur, Winterthur, Switzerland
| | - Yvonne Achermann
- Department of Internal Medicine, Hospital Zollikerberg, Zurich, Switzerland
- Department of Dermatology, University Hospital Zurich, Zurich, Switzerland
- Faculty of Medicine, University of Zurich, Zurich, Switzerland
| | - Michael Leunig
- Department of Orthopedics, Schulthess Clinic, Zurich, Switzerland
| | - Emanuel Gautier
- Department of Orthopaedics, HFR Fribourg – Cantonal Hospital, Fribourg, Switzerland
| | - Emanuel Benninger
- Division of Orthopaedics and Traumatology, Cantonal Hospital Winterthur, Winterthur, Switzerland
- Faculty of Medicine, University of Zurich, Zurich, Switzerland
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Goutelle S, Boisson M. Optimizing antibiotic prophylaxis in obese patients undergoing surgery: Weight-based dosing on the rocks? Anaesth Crit Care Pain Med 2024; 43:101412. [PMID: 39089454 DOI: 10.1016/j.accpm.2024.101412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 04/29/2024] [Indexed: 08/04/2024]
Affiliation(s)
- Sylvain Goutelle
- Hospices Civils de Lyon, Groupement Hospitalier Nord, Service de Pharmacie, Lyon, France; 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, Facultés de Pharmacie de Lyon, Lyon, France
| | - Matthieu Boisson
- Université de Poitiers, INSERM, PHAR2, CHU de Poitiers Service d'Anesthésie Réanimation Médecine Péri-opératoire, F-86000 Poitiers 86021, France.
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Gebreyesus MS, Dresner A, Wiesner L, Coetzee E, Verschuuren T, Wasmann R, Denti P. Dose optimization of cefazolin in South African children undergoing cardiac surgery with cardiopulmonary bypass. CPT Pharmacometrics Syst Pharmacol 2024; 13:1595-1605. [PMID: 38962872 DOI: 10.1002/psp4.13196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 05/27/2024] [Accepted: 06/18/2024] [Indexed: 07/05/2024] Open
Abstract
Cefazolin is an antibiotic used to prevent surgical site infections. During cardiac surgery with cardiopulmonary bypass (CPB), its efficacy target could be underachieved. We aimed to develop a population pharmacokinetic model for cefazolin in children and optimize the prophylactic dosing regimen. Children under 25 kg undergoing cardiac surgery with CPB and receiving cefazolin at standard doses (50 mg/kg IV every 4-6 h) were included in this analysis. A population pharmacokinetic model and Monte Carlo simulations were used to evaluate the probability of target attainment (PTA) for efficacy and toxicity with the standard regimen and an alternative regimen of continuous infusion, where loading and maintenance doses were calculated from model-derived individual parameters. Twenty-two patients were included, with median (range) age, body weight, and eGFR of 19.5 (1-94) months, 8.7 (2-21) kg, and 116 (48-159) mL/min, respectively. Six patients received an additional dose in the CPB circuit. A two-compartment disposition model with an additional compartment for the CPB was developed, including weight-based allometric scaling and eGFR. For a 10 kg patient with eGFR of 120 mL/min/1.73 m2, clearance was estimated as 0.856 L/h. Simulations indicated that the standard dosing regimen fell short of achieving the efficacy target >40% of the time within a dosing duration and in patients with good renal function, PTA ranged from <20% to 70% for the smallest to the largest patients, respectively, at high MICs. In contrast, the alternative regimen consistently maintained target concentrations throughout the procedure for all patients while using a lower overall dose.
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Affiliation(s)
- Manna Semere Gebreyesus
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Alexandra Dresner
- Department of Anesthesia and Perioperative Medicine, Red Cross War Memorial Children's Hospital and University of Cape Town, Cape Town, South Africa
| | - Lubbe Wiesner
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Ettienne Coetzee
- Department of Anesthesia and Perioperative Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa
| | - Tess Verschuuren
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Roeland Wasmann
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
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Lanoiselée J, Mourer J, Jungling M, Molliex S, Thellier L, Tabareau J, Jeanpierre E, Robin E, Susen S, Tavernier B, Vincentelli A, Ollier E, Moussa MD. Heparin Dosing Regimen Optimization in Veno-Arterial Extracorporeal Membrane Oxygenation: A Pharmacokinetic Analysis. Pharmaceutics 2024; 16:770. [PMID: 38931891 PMCID: PMC11207075 DOI: 10.3390/pharmaceutics16060770] [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: 04/19/2024] [Revised: 05/24/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND Unfractionated heparin is administered in patients undergoing veno-arterial extracorporeal membrane oxygenation (VA-ECMO). Anticoagulation monitoring is recommended, with an anti-activated factor X (anti-Xa) targeting 0.3 to 0.7 IU/mL. Owing to heparin's heterogeneous pharmacokinetic properties, anti-Xa is unpredictable, generating a challenge in anticoagulation practices. The aim of this study was to build a pharmacokinetic model of heparin accounting for potential confounders, and derive an optimized dosing regimen for a given anti-Xa target. METHODS Adult patients undergoing VA-ECMO were included between January 2020 and June 2021. Anticoagulation was managed with an initial 100 IU/kg heparin loading dose followed by a continuous infusion targeting 0.2 to 0.7 IU/mL anti-Xa. The data were split into model development and model validation cohorts. Statistical analysis was performed using a nonlinear mixed effects modeling population approach. Model-based simulations were performed to develop an optimized dosing regimen targeting the desired anti-Xa. RESULTS A total of 74 patients were included, with 1703 anti-Xa observations. A single-compartment model best fitted the data. Interpatient variability for distribution volume was best explained by body weight, C-reactive protein and ECMO indication (post-cardiotomy shock or medical cardiogenic shock), and interpatient variability for elimination clearance was best explained by serum creatinine and C-reactive protein. Simulations using the optimized regimen according to these covariates showed accurate anti-Xa target attainment. CONCLUSION In adult patients on VA-ECMO, heparin's effect increased with serum creatinine and medical indication, whereas it decreased with body weight and systemic inflammation. We propose an optimized dosing regimen accounting for key covariates, capable of accurately predicting a given anti-Xa target.
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Affiliation(s)
- Julien Lanoiselée
- Department of Anesthesiology and Intensive Care Medicine, Saint-Etienne University Hospital, F-42055 Saint-Etienne, France
- INSERM U1059, Dysfonction Vasculaire et Hémostase, F-42055 Saint-Etienne, France
| | - Jérémy Mourer
- Department of Anesthesiology and Intensive Care Medicine, CHU Lille, F-59000 Lille, France
| | - Marie Jungling
- Department of Cardiac Surgery, CHU Lille, F-59000 Lille, France
| | - Serge Molliex
- Department of Anesthesiology and Intensive Care Medicine, Saint-Etienne University Hospital, F-42055 Saint-Etienne, France
- INSERM U1059, Dysfonction Vasculaire et Hémostase, F-42055 Saint-Etienne, France
| | - Lise Thellier
- Department of Anesthesiology and Intensive Care Medicine, CHU Lille, F-59000 Lille, France
| | - Julien Tabareau
- Department of Anesthesiology and Intensive Care Medicine, CHU Lille, F-59000 Lille, France
| | - Emmanuelle Jeanpierre
- Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, University of Lille, F-59000 Lille, France
| | - Emmanuel Robin
- Department of Anesthesiology and Intensive Care Medicine, CHU Lille, F-59000 Lille, France
| | - Sophie Susen
- Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, University of Lille, F-59000 Lille, France
| | - Benoit Tavernier
- Department of Anesthesiology and Intensive Care Medicine, CHU Lille, F-59000 Lille, France
- ULR 2694-METRICS, Évaluation des Technologies de Santé et des Pratiques Médicales, University of Lille, F-59000 Lille, France
| | - André Vincentelli
- Department of Cardiac Surgery, CHU Lille, F-59000 Lille, France
- Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, University of Lille, F-59000 Lille, France
| | - Edouard Ollier
- INSERM U1059, Dysfonction Vasculaire et Hémostase, F-42055 Saint-Etienne, France
- Unité de Recherche Clinique Innovation et Pharmacologie, Saint-Etienne University Hospital, F-42270 Saint-Etienne, France
| | - Mouhamed Djahoum Moussa
- Department of Anesthesiology and Intensive Care Medicine, CHU Lille, F-59000 Lille, France
- ULR 2694-METRICS, Évaluation des Technologies de Santé et des Pratiques Médicales, University of Lille, F-59000 Lille, France
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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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Liu S, Matvekas A, Naimi T, Ghanem A, Li R, Rajanayake K, Derstine B, Ross B, Sullivan J, Yun HG, Regenbogen S, Byrn J, Su G, Wang S, Pai MP. Morphomics-informed population pharmacokinetic and physiologically-based pharmacokinetic modeling to optimize cefazolin surgical prophylaxis. Pharmacotherapy 2024; 44:77-86. [PMID: 37728152 PMCID: PMC10841046 DOI: 10.1002/phar.2878] [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: 04/14/2023] [Revised: 08/09/2023] [Accepted: 08/13/2023] [Indexed: 09/21/2023]
Abstract
INTRODUCTION Cefazolin is the leading antibiotic used to prevent surgical site infections worldwide. Consensus guidelines recommend adjustment of the cefazolin dose above and below 120 kg without regard to body composition. Algorithms exist to repurpose radiologic data into body composition (morphomics) and inform dosing decisions in obesity. OBJECTIVES To compare the current standard of body weight to morphomic measurements as covariates of cefazolin pharmacokinetics and aid dose stratification of cefazolin in patients with obesity undergoing colorectal surgery. METHODS This prospective study measured cefazolin plasma, fat, and colon tissue concentrations in colorectal surgery patients in order to develop a morphomics-informed population pharmacokinetic (PopPK) model to guide dose adjustments. A physiologically-based pharmacokinetic (PBPK) model was also constructed to inform tissue partitioning in morbidly obese patients (n = 21, body mass index ≥35 kg/m2 with one or more co-morbid conditions). RESULTS Morphomics and pharmacokinetic data were available in 58 patients with a median [min, max] weight and age of 95.9 [68.5, 148.8] kg and 55 [25, 79] years, respectively. The plasma-to-subcutaneous fat partition coefficient was predicted to be 0.072 and 0.060 by the PopPK and PBPK models, respectively. The estimated creatinine clearance (eCLcr ) and body depth at the third lumbar vertebra (body depth_L3) were identified as covariates of cefazolin exposure. The probability of maintaining subcutaneous fat concentrations above 2 μg/mL for 100% of a 4-h surgical period was below 90% when eCLcr ≥105 mL/min and body depth_L3 ≥ 300 mm and less sensitive to the rate of infusion between 5 and 60 min. CONCLUSIONS Kidney function and morphomics were more informative than body weight as covariates of cefazolin target site exposure. Data from more diverse populations, consensus on target cefazolin exposure, and comparative studies are needed before a change in practice can be implemented.
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Affiliation(s)
- Shuhan Liu
- University of Michigan, College of Pharmacy, Ann Arbor, Michigan, USA
| | - Aleksas Matvekas
- University of Michigan, College of Pharmacy, Ann Arbor, Michigan, USA
| | - Tamara Naimi
- University of Michigan, College of Pharmacy, Ann Arbor, Michigan, USA
| | - Aws Ghanem
- University of Michigan, College of Pharmacy, Ann Arbor, Michigan, USA
| | - Ruiting Li
- University of Michigan, College of Pharmacy, Ann Arbor, Michigan, USA
| | | | - Brian Derstine
- University of Michigan, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Brian Ross
- University of Michigan, Michigan Medicine, Ann Arbor, Michigan, USA
| | - June Sullivan
- University of Michigan, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Hyun Gi Yun
- University of Michigan, College of Pharmacy, Ann Arbor, Michigan, USA
| | - Scott Regenbogen
- University of Michigan, Michigan Medicine, Ann Arbor, Michigan, USA
| | - John Byrn
- University of Michigan, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Grace Su
- University of Michigan, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Stewart Wang
- University of Michigan, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Manjunath P. Pai
- University of Michigan, College of Pharmacy, Ann Arbor, Michigan, USA
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Zelenitsky SA. Effective Antimicrobial Prophylaxis in Surgery: The Relevance and Role of Pharmacokinetics-Pharmacodynamics. Antibiotics (Basel) 2023; 12:1738. [PMID: 38136772 PMCID: PMC10741006 DOI: 10.3390/antibiotics12121738] [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: 11/19/2023] [Revised: 12/09/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
Appropriate surgical antimicrobial prophylaxis (SAP) is an important measure in preventing surgical site infections (SSIs). Although antimicrobial pharmacokinetics-pharmacodynamics (PKPD) is integral to optimizing antibiotic dosing for the treatment of infections, there is less research on preventing infections postsurgery. Whereas clinical studies of SAP dose, preincision timing, and redosing are informative, it is difficult to isolate their effect on SSI outcomes. Antimicrobial PKPD aims to explain the complex relationship between antibiotic exposure during surgery and the subsequent development of SSI. It accounts for the many factors that influence the PKs and antibiotic concentrations in patients and considers the susceptibilities of bacteria most likely to contaminate the surgical site. This narrative review examines the relevance and role of PKPD in providing effective SAP. The dose-response relationship i.e., association between lower dose and SSI in cefazolin prophylaxis is discussed. A comprehensive review of the evidence for an antibiotic concentration-response (SSI) relationship in SAP is also presented. Finally, PKPD considerations for improving SAP are explored with a focus on cefazolin prophylaxis in adults and outstanding questions regarding its dose, preincision timing, and redosing during surgery.
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Affiliation(s)
- Sheryl A. Zelenitsky
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0T5, Canada;
- Department of Pharmacy, St. Boniface Hospital, Winnipeg, MB R2H 2A6, Canada
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Kim KM, Jung J, Lee JM, Yang HS, Bang J, Lee E, Choi B, Noh G. The expected advantage of administering prophylactic antibiotics using target‐ concentration controlled infusion: Development of a new pharmacokinetic model of cefazolin. Clin Exp Pharmacol Physiol 2022; 49:731-739. [DOI: 10.1111/1440-1681.13648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/29/2022] [Accepted: 04/07/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Kyung Mi Kim
- Department of Anesthesiology and Pain Medicine, Asan Medical Center University of Ulsan College of Medicine Seoul South Korea
| | - Jiwon Jung
- Department of Infectious Diseases, Asan Medical Center University of Ulsan College of Medicine Seoul South Korea
| | - Jong Min Lee
- Department of Anesthesiology and Pain Medicine Daejeon Eulji University Hospital Eulji University School of Medicine Daejeon Korea
| | - Hong Seuk Yang
- Department of Anesthesiology and Pain Medicine Daejeon Eulji University Hospital Eulji University School of Medicine Daejeon Korea
| | - Ji‐Yeon Bang
- Department of Anesthesiology and Pain Medicine, Asan Medical Center University of Ulsan College of Medicine Seoul Korea
| | - Eun‐Kyung Lee
- Department of Statistics Ewha Womans University Seoul South Korea
| | - Byung‐Moon Choi
- Department of Anesthesiology and Pain Medicine, Asan Medical Center University of Ulsan College of Medicine Seoul South Korea
| | - Gyu‐Jeong Noh
- Departments of Anesthesiology and Pain Medicine, Clinical Pharmacology and Therapeutics, Asan Medical Center University of Ulsan College of Medicine Seoul South Korea
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Ollier E. Fast selection of nonlinear mixed effect models using penalized likelihood. Comput Stat Data Anal 2022. [DOI: 10.1016/j.csda.2021.107373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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