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Wang YW, Hou HA, Lin CC, Lin HY, Chen PZ, Kuo CH, Chiu HH, Chuang CC, Chen YJ, Lin SW. Early Therapeutic Drug Monitoring Optimizes Teicoplanin Use in Febrile Neutropenic Patients with Hematological Malignancies. Adv Ther 2024; 41:2966-2977. [PMID: 38743241 DOI: 10.1007/s12325-024-02884-z] [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: 03/24/2024] [Accepted: 04/22/2024] [Indexed: 05/16/2024]
Abstract
INTRODUCTION A target trough concentration (Cmin) of teicoplanin ≥ 15-20 mg/L between the fourth and sixth day has been suggested for severe infections or management of febrile neutropenia (FN). Owing to no reports discussing the impact of early target attainment on treatment outcomes, this study aimed to evaluate the dose-Cmin relationship and clinical outcome and estimate the optimal early target Cmin for FN in patients with hematological malignancies. METHODS This single-center, prospective study enrolled patients with hematological malignancies who were treated with teicoplanin either as an empirical antibiotic for FN or as targeted treatment for Gram-positive bacteria. Blood samples were collected on day three (48 h) post-loading doses, day 5 (96 h), and day 8 (when applicable) and determined by ultrahigh-pressure liquid chromatography-triple quadruple mass spectrometry. A total of 117 samples from 47 patients with FN (27 men, 20 women) were consecutively analyzed. A two-tailed α value of 0.05 was considered statistically significant. RESULTS The mean Cmin values at 48 h, 96 h, and on day 8 were 23.4, 21.4, and 27.8 mg/L, respectively. The patients achieving Cmin ≥ 20 mg/L at 48 h had a higher likelihood of treatment success. The areas under the receiver operating characteristic curves were 0.71 for clinical efficacy and the cutoff value of Cmin at 48 h was 18.85 mg/L (95% confidence interval 0.55-0.87; P = 0.018). CONCLUSIONS The Cmin of teicoplanin after completion of loading doses could predict the treatment response, with a target concentration ≥ 18.85 mg/L.
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Affiliation(s)
- Yu-Wen Wang
- Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
- School of Pharmacy, College of Medicine, National Taiwan University, 33, Linsen S. Rd, Room 216, Taipei, Taiwan
| | - Hsin-An Hou
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chien-Chin Lin
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsing-Yu Lin
- Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
| | - Pin-Zi Chen
- Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
| | - Ching-Hua Kuo
- School of Pharmacy, College of Medicine, National Taiwan University, 33, Linsen S. Rd, Room 216, Taipei, Taiwan
| | - Huai-Hsuan Chiu
- School of Pharmacy, College of Medicine, National Taiwan University, 33, Linsen S. Rd, Room 216, Taipei, Taiwan
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Chia-Chi Chuang
- School of Pharmacy, College of Medicine, National Taiwan University, 33, Linsen S. Rd, Room 216, Taipei, Taiwan
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Yi-Jing Chen
- Graduate Institute of Clinical Pharmacy, National Taiwan University, Taipei, Taiwan
| | - Shu-Wen Lin
- School of Pharmacy, College of Medicine, National Taiwan University, 33, Linsen S. Rd, Room 216, Taipei, Taiwan.
- Graduate Institute of Clinical Pharmacy, National Taiwan University, Taipei, Taiwan.
- National Taiwan University Cancer Center, Taipei, Taiwan.
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Awad AM, Hansen K, Del Rio D, Flores D, Barghash RF, Kakkola L, Julkunen I, Awad K. Insights into COVID-19: Perspectives on Drug Remedies and Host Cell Responses. Biomolecules 2023; 13:1452. [PMID: 37892134 PMCID: PMC10604481 DOI: 10.3390/biom13101452] [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: 07/12/2023] [Revised: 09/19/2023] [Accepted: 09/21/2023] [Indexed: 10/29/2023] Open
Abstract
In light of the COVID-19 global pandemic caused by SARS-CoV-2, ongoing research has centered on minimizing viral spread either by stopping viral entry or inhibiting viral replication. Repurposing antiviral drugs, typically nucleoside analogs, has proven successful at inhibiting virus replication. This review summarizes current information regarding coronavirus classification and characterization and presents the broad clinical consequences of SARS-CoV-2 activation of the angiotensin-converting enzyme 2 (ACE2) receptor expressed in different human cell types. It provides publicly available knowledge on the chemical nature of proposed therapeutics and their target biomolecules to assist in the identification of potentially new drugs for the treatment of SARS-CoV-2 infection.
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Affiliation(s)
- Ahmed M. Awad
- Department of Chemistry, California State University Channel Islands, Camarillo, CA 93012, USA
| | - Kamryn Hansen
- Department of Chemistry, California State University Channel Islands, Camarillo, CA 93012, USA
| | - Diana Del Rio
- Department of Chemistry, California State University Channel Islands, Camarillo, CA 93012, USA
| | - Derek Flores
- Department of Chemistry, California State University Channel Islands, Camarillo, CA 93012, USA
| | - Reham F. Barghash
- Institute of Chemical Industries Research, National Research Centre, Dokki, Cairo 12622, Egypt
| | - Laura Kakkola
- Institute of Biomedicine, Faculty of Medicine, University of Turku, 20014 Turku, Finland
| | - Ilkka Julkunen
- Institute of Biomedicine, Faculty of Medicine, University of Turku, 20014 Turku, Finland
- Clinical Microbiology, Turku University Hospital, 20521 Turku, Finland
| | - Kareem Awad
- Institute of Biomedicine, Faculty of Medicine, University of Turku, 20014 Turku, Finland
- Department of Therapeutic Chemistry, Institute of Pharmaceutical and Drug Industries Research, National Research Center, Dokki, Cairo 12622, Egypt
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Therapeutic Drug Monitoring and Population Pharmacokinetic Analysis of Teicoplanin among Chinese Patients with Gram-Positive Infections in a Tertiary Hospital. J Clin Pharm Ther 2023. [DOI: 10.1155/2023/2681979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Background. To explore the use of teicoplanin among Chinese patients with Gram-positive infections in a tertiary hospital. Methods. The medical records of patients, who were monitored for teicoplanin plasma concentration (TPC) from December 2017 to February 2019, were collected. By combining the therapeutic drug monitoring (TDM) and nonlinear mixed-effects model, a population pharmacokinetic (PPK) model of teicoplanin was established. Results. The proportions of TPCs lower and higher than 10 mg/L were nearly the same (102 vs. 108 cases). A two-compartment model of teicoplanin PPK in Chinese patients was established. Compared with 400 mg, the 600 mg regimen was more able to reach the target concentration (10 mg/L), especially for high-weight patients. Conclusions. The standard regimen of teicoplanin, 400 mg, failed to reach the target value in the present population. Moreover, the 600 mg regimen was feasible for high-weight patients based on TDM and individualized pharmacokinetic dosing adjustment.
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Hu S, Wang T, You H, Chen S, Zhang T, Dong Y. Plasma trough concentration distribution and safety of high-dose teicoplanin for patients with augmented renal clearance. J Clin Pharm Ther 2022; 47:1548-1555. [PMID: 35633105 DOI: 10.1111/jcpt.13700] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/08/2022] [Accepted: 04/25/2022] [Indexed: 12/19/2022]
Abstract
WHAT IS KNOWN AND OBJECTIVE There are few reports on the distribution of the plasma trough concentration (Cmin ) of teicoplanin in patients with augmented renal clearance (ARC) and on the safety of a high-dose regimen (HD; 800 mg loading dose for q12h three times followed by an 800 mg qd maintenance dose). The objective of this study was to determine the Cmin values of teicoplanin in ARC patients using HD teicoplanin to provide a reference for individualized medication. METHODS Data on patients treated with teicoplanin from January 2019 to January 2021 were collected retrospectively and divided into ARC (creatinine clearance rate [CCr] >130 ml/min, n = 22) and non-ARC (60 ml/min ≤ CCr ≤130 ml/min, n = 24) groups. The Cmin values in the two patient groups were analysed during the HD and the low-dose regimen (LD; all other regimens) on the third day of medication and during the dose maintenance period. Liver and kidney function indexes were also analysed before and after medication. RESULTS AND DISCUSSIONS On the third day of the HD, Cmin did not differ significantly between the ARC and non-ARC groups (17.3 ± 9.2 mg/L [mean ± SD] vs. 15.5 ± 7.9 mg/L, p = 0.663), while Cmin in the ARC group was significantly lower for the LD (6.8 ± 3.9 mg/L, p = 0.039). During the dose maintenance period, Cmin in the ARC group when receiving the HD (18.3 ± 5.1 mg/L) was significantly lower than that in the non-ARC group (25.5 ± 11.9 mg/L, p = 0.016) and significantly higher than that for the LD (12.2 ± 6.3 mg/L, p = 0.022). Nephrotoxicity and hepatotoxicity incidence rates did not differ significantly between these groups. WHAT IS NEW AND CONCLUSION These results suggest that it is necessary to apply a loading dose of 800 mg (but not higher) q12h three times for patients with ARC, with 800 mg needed as a maintenance dose during severe infection, and 600 mg or 400 mg for mild infection.
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Affiliation(s)
- Sasa Hu
- Department of Pharmacy, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Taotao Wang
- Department of Pharmacy, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Haisheng You
- Department of Pharmacy, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Siying Chen
- Department of Pharmacy, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Tao Zhang
- Department of Pharmacy, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yalin Dong
- Department of Pharmacy, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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Giacobbe DR, Roberts JA, Abdul-Aziz MH, de Montmollin E, Timsit JF, Bassetti M. Treatment of ventilator-associated pneumonia due to carbapenem-resistant Gram-negative bacteria with novel agents: a contemporary, multidisciplinary ESGCIP perspective. Expert Rev Anti Infect Ther 2022; 20:963-979. [PMID: 35385681 DOI: 10.1080/14787210.2022.2063838] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
INTRODUCTION : In the past 15 years, treatment of VAP caused by carbapenem-resistant Gram-negative bacteria (CR-GNB) has represented an intricate challenge for clinicians. AREAS COVERED In this perspective article, we discuss the available clinical data about novel agents for the treatment of CR-GNB VAP, together with general PK/PD principles for the treatment of VAP, in the attempt to provide some suggestions for optimizing antimicrobial therapy of CR-GNB VAP in the daily clinical practice. EXPERT OPINION Recently, novel BL and BL/BLI combinations have become available that have shown potent in vitro activity against CR-GNB and have attracted much interest as novel, less toxic, and possibly more efficacious options for the treatment of CR-GNB VAP compared with previous standard of care. Besides randomized controlled trials, a good solution to enrich our knowledge on how to use these novel agents at best in the near future, while at the same time remaining adherent to current evidence-based guidelines, is to improve our collaboration to conduct larger multinational observational studies to collect sufficiently large populations treated in real life with those novel agents for which guidelines currently do not provide a recommendation (in favor or against) for certain causative organisms.
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Affiliation(s)
- Daniele Roberto Giacobbe
- Infectious Diseases Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neuroscience, Genoa, Italy.,Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.,Critically ill patients study group (ESGCIP) of the European Society of Clinical Microbiology and Infectious Diseases (ESCMID)
| | - Jason A Roberts
- Critically ill patients study group (ESGCIP) of the European Society of Clinical Microbiology and Infectious Diseases (ESCMID).,University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.,Herston Infectious Diseases Institute (HeIDI), Metro North Health, 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
| | - Mohd H Abdul-Aziz
- University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Etienne de Montmollin
- Medical and Infectious Diseases Intensive Care Unit, AP-HP, Bichat Claude Bernard University Hospital, Paris, France.,INSERM IAME UMR 1137, University of Paris, Sorbonne Paris Cite, Paris, France
| | - Jean-François Timsit
- Critically ill patients study group (ESGCIP) of the European Society of Clinical Microbiology and Infectious Diseases (ESCMID).,Medical and Infectious Diseases Intensive Care Unit, AP-HP, Bichat Claude Bernard University Hospital, Paris, France.,INSERM IAME UMR 1137, University of Paris, Sorbonne Paris Cite, Paris, France
| | - Matteo Bassetti
- Infectious Diseases Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neuroscience, Genoa, Italy.,Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.,Critically ill patients study group (ESGCIP) of the European Society of Clinical Microbiology and Infectious Diseases (ESCMID)
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6
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Ma P, Liu R, Gu W, Dai Q, Gan Y, Cen J, Shang S, Liu F, Chen Y. Construction and Interpretation of Prediction Model of Teicoplanin Trough Concentration via Machine Learning. Front Med (Lausanne) 2022; 9:808969. [PMID: 35360734 PMCID: PMC8963816 DOI: 10.3389/fmed.2022.808969] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 01/25/2022] [Indexed: 02/02/2023] Open
Abstract
Objective To establish an optimal model to predict the teicoplanin trough concentrations by machine learning, and explain the feature importance in the prediction model using the SHapley Additive exPlanation (SHAP) method. Methods A retrospective study was performed on 279 therapeutic drug monitoring (TDM) measurements obtained from 192 patients who were treated with teicoplanin intravenously at the First Affiliated Hospital of Army Medical University from November 2017 to July 2021. This study included 27 variables, and the teicoplanin trough concentrations were considered as the target variable. The whole dataset was divided into a training group and testing group at the ratio of 8:2, and predictive performance was compared among six different algorithms. Algorithms with higher model performance (top 3) were selected to establish the ensemble prediction model and SHAP was employed to interpret the model. Results Three algorithms (SVR, GBRT, and RF) with high R2 scores (0.676, 0.670, and 0.656, respectively) were selected to construct the ensemble model at the ratio of 6:3:1. The model with R2 = 0.720, MAE = 3.628, MSE = 22.571, absolute accuracy of 83.93%, and relative accuracy of 60.71% was obtained, which performed better in model fitting and had better prediction accuracy than any single algorithm. The feature importance and direction of each variable were visually demonstrated by SHAP values, in which teicoplanin administration and renal function were the most important factors. Conclusion We firstly adopted a machine learning approach to predict the teicoplanin trough concentration, and interpreted the prediction model by the SHAP method, which is of great significance and value for the clinical medication guidance.
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Affiliation(s)
- Pan Ma
- Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China
| | - Ruixiang Liu
- Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China
| | - Wenrui Gu
- Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China
| | - Qing Dai
- Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China
| | - Yu Gan
- Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China
| | - Jing Cen
- Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China
| | - Shenglan Shang
- Department of Clinical Pharmacy, General Hospital of Central Theater Command of PLA, Wuhan, China
| | - Fang Liu
- Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China
| | - Yongchuan Chen
- Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China
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7
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Koch BCP, Muller AE, Hunfeld NGM, de Winter BCM, Ewoldt TMJ, Abdulla A, Endeman H. Therapeutic Drug Monitoring of Antibiotics in Critically Ill Patients: Current Practice and Future Perspectives With a Focus on Clinical Outcome. Ther Drug Monit 2022; 44:11-18. [PMID: 34772892 DOI: 10.1097/ftd.0000000000000942] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 10/23/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE Early initiation of antibiotics is essential for ameliorating infections in critically ill patients. The correct dosage of antibiotics is imperative to ensure their adequate exposure. Critically ill patients have altered pharmacokinetic parameters and are often infected by less susceptible microorganisms. Differences in drug disposition are not considered with standard doses of antibiotics. This can lead to suboptimal antibiotic exposure in critically ill patients. To overcome this problem of suboptimal dosing, therapeutic drug monitoring (TDM) is a strategy commonly used to support individualized dosing of antibiotics. It is routinely used for vancomycin and aminoglycosides in clinical practice. In recent years, it has become apparent that TDM may also be used in other antibiotics. METHODS This review summarizes the evidence for TDM of antibiotics in critically ill patients, focuses on clinical outcomes, and summarizes possibilities for optimized TDM in the future. RESULTS AND CONCLUSION After reviewing the literature, we can conclude that general TDM implementation is advised for glycopeptides and aminoglycosides, as evidence of the relationship between TDM and clinical outcome is present. For antibiotics, such as beta-lactams, fluoroquinolones, and linezolid, it seems rational to perform TDM in specific patient cases. TDM involving other antibiotics is supported by individual cases, specifically to decrease toxicity. When focusing on future possibilities to improve TDM of antibiotics in critically ill patients, implementation of model-informed precision dosing should be investigated because it can potentially streamline the TDM process. The logistics of TDM, such as turnaround time and available equipment, are challenging but may be overcome by rapid bioanalytical techniques or real-time monitoring of drug concentrations through biosensors in the future. Education, clinical information on targets, and clinical outcome studies are other important factors that facilitate TDM implementation.
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Affiliation(s)
- Birgit C P Koch
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Anouk E Muller
- Department of Medical Microbiology, Haaglanden Medical Center, The Hague, the Netherlands
- Department of Medical Microbiology & Infectious Diseases, Erasmus MC, University Medical Center Rotterdam, the Netherlands; and
| | - Nicole G M Hunfeld
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Adult Intensive Care, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Brenda C M de Winter
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Tim M J Ewoldt
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Adult Intensive Care, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Alan Abdulla
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Henrik Endeman
- Department of Adult Intensive Care, Erasmus MC, University Medical Center Rotterdam, the Netherlands
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8
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Abdul-Aziz MH, Brady K, Cotta MO, Roberts JA. Therapeutic Drug Monitoring of Antibiotics: Defining the Therapeutic Range. Ther Drug Monit 2022; 44:19-31. [PMID: 34750338 DOI: 10.1097/ftd.0000000000000940] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 09/30/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE In the present narrative review, the authors aimed to discuss the relationship between the pharmacokinetic/pharmacodynamic (PK/PD) of antibiotics and clinical response (including efficacy and toxicity). In addition, this review describes how this relationship can be applied to define the therapeutic range of a particular antibiotic (or antibiotic class) for therapeutic drug monitoring (TDM). METHODS Relevant clinical studies that examined the relationship between PK/PD of antibiotics and clinical response (efficacy and response) were reviewed. The review (performed for studies published in English up to September 2021) assessed only commonly used antibiotics (or antibiotic classes), including aminoglycosides, beta-lactam antibiotics, daptomycin, fluoroquinolones, glycopeptides (teicoplanin and vancomycin), and linezolid. The best currently available evidence was used to define the therapeutic range for these antibiotics. RESULTS The therapeutic range associated with maximal clinical efficacy and minimal toxicity is available for commonly used antibiotics, and these values can be implemented when TDM for antibiotics is performed. Additional data are needed to clarify the relationship between PK/PD indices and the development of antibiotic resistance. CONCLUSIONS TDM should only be regarded as a means to achieve the main goal of providing safe and effective antibiotic therapy for all patients. The next critical step is to define exposures that can prevent the development of antibiotic resistance and include these exposures as therapeutic drug monitoring targets.
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Affiliation(s)
- Mohd H Abdul-Aziz
- University of Queensland Centre for Clinical Research (UQCCR), Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Kara Brady
- Adult Intensive Care Unit and Pharmacy, The Prince Charles Hospital, Brisbane, Australia
| | - Menino Osbert Cotta
- University of Queensland Centre for Clinical Research (UQCCR), Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Jason A Roberts
- University of Queensland Centre for Clinical Research (UQCCR), Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Departments of Intensive Care Medicine and Pharmacy, Royal Brisbane and Women's Hospital, Brisbane, Australia; and
- Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, Nîmes, France
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9
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Hirai T, Hosohata K, Ogawa Y, Iwamoto T. Clinical predictors of nephrotoxicity associated with teicoplanin: Meta-analysis and meta-regression. Basic Clin Pharmacol Toxicol 2021; 130:110-121. [PMID: 34714598 DOI: 10.1111/bcpt.13679] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 10/17/2021] [Accepted: 10/19/2021] [Indexed: 11/29/2022]
Abstract
Teicoplanin is a glycopeptide antibiotic against methicillin-resistant Staphylococcus aureus infections. However, the impact of clinical characteristics on nephrotoxicity associated with teicoplanin has not been determined. This meta-analysis aimed to investigate the relationship between clinical characteristics and nephrotoxicity associated with teicoplanin. We identified clinical research published from January 1975 to June 2021 using PubMed, Cochrane Library, and Scopus, which described the nephrotoxicity associated with teicoplanin. Meta-analysis determined the incidence of nephrotoxicity. Using meta-regression analysis, we evaluated the impact of clinical characteristics on outcomes. Of the 567 articles, eight articles including 634 patients were analysed. The overall incidence of nephrotoxicity associated with teicoplanin was 11.0% (95% confidence interval: 8.0-13.0) for the fixed-effect model. Additionally, patients with >65 years had a high trend for the risk of nephrotoxicity compared to those with ≤65 years (>65 years; 12.0% [95% confidence interval: 9.0-15.0] vs. ≤65 years; 7.0% [95% confidence interval: 3.0-12.0], p = 0.09) for the fixed-effect model. Meta-regression analysis demonstrated that only serum albumin level negatively correlated with the risk of nephrotoxicity (y = -17.0 x + 56.7, r = 0.74, p = 0.01). This meta-analysis ascertained that hypoalbuminemia leads to nephrotoxicity associated with teicoplanin.
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Affiliation(s)
- Toshinori Hirai
- Department of Pharmacy, Mie University Hospital, Faculty of Medicine, Mie University, Tsu, Mie, Japan
| | - Keiko Hosohata
- Education and Research Center for Clinical Pharmacy, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan
| | - Yukari Ogawa
- Department of Pharmacy, Faculty of Pharmacy, Musashino University, Nishitokyo, Tokyo, Japan
| | - Takuya Iwamoto
- Department of Pharmacy, Mie University Hospital, Faculty of Medicine, Mie University, Tsu, Mie, Japan
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Tsuji Y. Hospital Pharmacometrics for Optimal Individual Administration of Antimicrobial Agents for Anti-methicillin-resistant Staphylococcus aureus Infected Patients. Biol Pharm Bull 2021; 44:1174-1183. [PMID: 34471044 DOI: 10.1248/bpb.b21-00002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Therapeutic drug monitoring and target concentration intervention based on population pharmacokinetic and pharmacodynamic models has been strongly recommended for anti-methicillin-resistant Staphylococcus aureus (MRSA) agents in order to provide appropriate antimicrobial chemotherapy to each individual patient, and pharmacokinetic and pharmacodynamic analyses in hospitalized patients have been actively conducted, as evidenced with vancomycin. Teicoplanin, daptomycin, and linezolid have been the most studied antibiotics, using population pharmacokinetics of patients with MRSA. Infections caused by MRSA have higher severity and fatality rates than other antimicrobial-susceptible infections. Therefore, many medical facilities have been implementing infection control programs based on antimicrobial stewardship to prevent nosocomial infections and drug-resistant strains. Studies detailing pharmacometrics for these antibiotics have been reported to elucidate the pharmacokinetic and pharmacodynamic properties, to determine significant factors influencing variabilities between individuals, and to develop target concentration interventions and dosing regimens for adults, the elderly, patients with renal insufficiency including those on continuous renal replacement therapies, patients with low body weight, obese patients, and pediatric patients. This review presents the details of our recent research on the optimal dosing design of antimicrobial agents for the treatment of MRSA infection based on hospital pharmacometrics. In addition, the prospect of using modeling and simulation has shown major advantages in supporting dosing regimen selection.
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Affiliation(s)
- Yasuhiro Tsuji
- Center for Pharmacist Education, School of Pharmacy, Nihon University
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11
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Tsai CY, Lee CH, Chen IL. Teicoplanin versus β-lactam for febrile patients with Staphylococcus-like bacteremia: focus on methicillin-susceptible Staphylococcus aureus bacteremia. BMC Infect Dis 2021; 21:437. [PMID: 33980167 PMCID: PMC8117599 DOI: 10.1186/s12879-021-06111-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 04/23/2021] [Indexed: 11/29/2022] Open
Abstract
Background Many studies have shown that vancomycin is inferior to β-lactam antibiotics in terms of effectiveness in the treatment of methicillin-susceptible Staphylococcus aureus (MSSA) bacteremia. However, limited data are available regarding the comparison of clinical outcomes between patients receiving initial teicoplanin and those receiving β-lactam antibiotics for MSSA bacteremia. Methods Eighty-four adults with MSSA bacteremia were included: initial teicoplanin treatment group (n = 28) and β-lactam treatment group (n = 56). The two groups were further stratified based on propensity score matching according to the outcome analysis using a logistic regression model. We investigated the clinical outcomes between the groups before and after propensity score matching after treatment completion. Results Pittsburgh bacteremia score ≥ 4 (odds ratio, 60.6; 95%CI, 7.4–496.8) was an independent risk factor for unfavorable outcome. After propensity score matching, the initial teicoplanin treatment group and the β-lactam treatment group consisted of 28 patients each. No statistically significant differences were observed in the proportions of patients with favorable outcomes and 30-day overall mortality rates between the groups before and after propensity score matching after the completion of teicoplanin or β-lactam treatment. The Kaplan-Meier 30-day survival curve also showed no significant difference between the patients receiving initial teicoplanin treatment and those receiving β-lactam treatment before and after matching (hazard ratio, 1.84, 95%CI, 0.60–5.64; and 3.12, 95%CI, 0.98–9.99, respectively). Conclusions There were no significant difference in clinical outcomes between initial teicoplanin treatment and β-lactam treatment among patients with MSSA bacteremia. Pittsburgh bacteremia score ≥ 4 was a significant risk factor for mortality. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-021-06111-w.
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Affiliation(s)
- Ching-Yen Tsai
- Department of Internal Medicine, Division of Infectious Diseases, Kaohsiung Chang Gung Memorial Hospital, 123 Ta-Pei Road, Niao Sung District, Kaohsiung, 833, Taiwan
| | - Chen-Hsiang Lee
- Department of Internal Medicine, Division of Infectious Diseases, Kaohsiung Chang Gung Memorial Hospital, 123 Ta-Pei Road, Niao Sung District, Kaohsiung, 833, Taiwan. .,Chang Gung University College of Medicine, Kaohsiung, Taiwan.
| | - I-Ling Chen
- Department of Pharmacy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.,School of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan
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12
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Emoto C, Johnson TN, Yamada T, Yamazaki H, Fukuda T. Teicoplanin physiologically based pharmacokinetic modeling offers a quantitative assessment of a theoretical influence of serum albumin and renal function on its disposition. Eur J Clin Pharmacol 2021; 77:1157-1168. [PMID: 33527208 DOI: 10.1007/s00228-021-03098-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Accepted: 01/22/2021] [Indexed: 12/18/2022]
Abstract
PURPOSE Variability in teicoplanin pharmacokinetics has been explained by multiple factors such as body weight, renal function, and serum albumin level. To improve mechanistic understanding of the causes of variability, a physiologically based pharmacokinetic (PBPK) model can be used as a systematic platform. In this study, a PBPK model of teicoplanin was developed to quantitatively assess the effects of physiological changes due to disease status using virtual populations. METHODS Predictive performance of the models was evaluated by comparing simulated and observed concentration-time profiles of teicoplanin. Subsequently, sensitivity analyses were conducted to identify potential factors contributing to individual differences in teicoplanin PK. RESULTS The developed PBPK model generated concentration-time profiles that were comparable to clinical observations in healthy adults, including Caucasians and Japanese, and after single-dose and multiple-dose administration. The predicted PK parameters (i.e., Cmax, AUC, clearance) were within a two-fold range of the observed data in patients with renal impairments as well as healthy adults. Changes in total and unbound teicoplanin concentrations at 72 h, after various dosing regimens (tested 4-14 mg/kg q12h for three doses as a loading dose and then 4-14 mg/kg daily as a maintenance dose), were sensitive to renal function and serum albumin concentrations. CONCLUSION The PBPK model of teicoplanin provides mechanistic insight into the factors altering its disposition and allows assessments of the theoretical and quantitative impact of individual changes in physiological parameters on its PK even when an actual assessment with adequate sample sizes of patients is challenging.
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Affiliation(s)
- Chie Emoto
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165, Machida, Tokyo, 194-8543, Japan.
| | | | - Takaaki Yamada
- Department of Pharmacy, Kyushu University Hospital, Fukuoka, Japan
| | - Hiroshi Yamazaki
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165, Machida, Tokyo, 194-8543, Japan
| | - Tsuyoshi Fukuda
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165, Machida, Tokyo, 194-8543, Japan.,National Center for Child Health and Development, Tokyo, Japan
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13
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de Vroom SL, van Daalen FV, Zieck SE, Mathôt RAA, van Hest RM, Geerlings SE. Does dose reduction of renally cleared antibiotics in patients with impaired renal function lead to adequate drug exposure? A systematic review. Clin Microbiol Infect 2020; 27:352-363. [PMID: 33290864 DOI: 10.1016/j.cmi.2020.11.032] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 10/23/2020] [Accepted: 11/26/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND There is inconsistency between many guidelines in the recommended dose reduction of renally cleared antibiotics in patients with impaired renal function. OBJECTIVES This systematic review summarizes the available evidence on the adequacy of the recommended dose reduction in terms of achieving sufficient antibiotic drug exposure or pharmacokinetic/pharmacodynamic target attainment after treatment with these reduced doses. DATA SOURCES We systematically searched Ovid Medline and Embase from inception (respectively 1946 and 1947) through July 2019. STUDY ELIGIBILITY CRITERIA All studies reporting antibiotic drug exposure and/or pharmacokinetic/pharmacodynamic (PK/PD) target attainment after dose reduction of antibiotics in patients with impaired renal function. PARTICIPANTS Adult patients with or without infections. INTERVENTIONS Administration of reduced doses of antibiotics (orally, intravenously or intramuscularly). METHODS The reduced dose was considered adequate when the most relevant parameters of drug exposure or PK/PD target attainment in patients with impaired renal function were within a range of 80% to 125% of that patients with adequate renal function receiving a regular dose (reference) or when PK/PD target attainment was attained in at least 90% of the patients with impaired renal function, regardless of the lack of a reference group. RESULTS Twenty-seven of the 4202 identified studies were included. The quality of 15 of 27 studies was fair, and most studies were of β-lactams (12/27). Best evidence was available for meropenem: four studies were included, of which two studies were of good quality. Drug exposure for meropenem is 158% to 286% higher in patients with impaired renal function receiving reduced doses compared to patients with adequate renal function receiving regular doses. For all other antibiotics, a maximum of one good-quality study could be identified. CONCLUSIONS No good-quality evidence on the recommended dose reduction of renally cleared antibiotics in patients with impaired renal function is present, with the exception of meropenem.
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Affiliation(s)
- Suzanne L de Vroom
- Department of Internal Medicine, Division of Infectious Diseases, Amsterdam Infection and Immunity (AI&II), Amsterdam, the Netherlands.
| | - Frederike V van Daalen
- Department of Internal Medicine, Division of Infectious Diseases, Amsterdam Infection and Immunity (AI&II), Amsterdam, the Netherlands
| | - Saskia E Zieck
- Department of Hospital Pharmacy, Division of Clinical Pharmacology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Ron A A Mathôt
- Department of Hospital Pharmacy, Division of Clinical Pharmacology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Reinier M van Hest
- Department of Hospital Pharmacy, Division of Clinical Pharmacology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Suzanne E Geerlings
- Department of Internal Medicine, Division of Infectious Diseases, Amsterdam Infection and Immunity (AI&II), Amsterdam, the Netherlands.
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14
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Choi JS, Kim JM, Kim D, Kim SH, Cho H, Park HD, Lee SY, Kang CI, Kim YJ. Therapeutic Drug Level Monitoring of Teicoplanin in Korean Pediatric Patients with Normal versus Impaired Renal Function. J Korean Med Sci 2020; 35:e376. [PMID: 33258328 PMCID: PMC7707924 DOI: 10.3346/jkms.2020.35.e376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 09/14/2020] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Teicoplanin is used to treat serious gram-positive infections. Optimal teicoplanin trough levels are considered to be ≥ 10 μg/mL. Despite its wide use in various clinical settings, data on teicoplanin trough level in pediatric patients are limited. Therefore, the aim of this study was to investigate the therapeutic drug level monitoring of teicoplanin in Korean pediatric patients, including those with impaired renal function. METHODS A retrospective study was performed in pediatric patients (age ≤ 18 years old) who received teicoplanin from September 2014 to April 2018. The regimen included a loading dose of 10 mg/kg/dose at 12 hours' interval three times in a row, and a maintenance dose of 10 mg/kg/dose commenced at 24 hours of interval after the loading dose, with a maximum of 400 mg/dose, respectively. The first therapeutic drug levels were measured. Distribution and characteristics of trough levels in patients with decreased renal function and those with bacteremia were also assessed. RESULTS A total of 187 trough levels were collected from 143 patients. Hematologic and oncologic diseases were the most common underlying diseases (83.2%, n = 119). One hundred eighty trough levels were first measured, and their median value was 16.2 μg/mL (range, 2.3-100 μg/mL) and the median interval between initial teicoplanin injection and 1st trough level was 96.5 hours (range 47.6-179.3 hours). Lower steady-state levels were observed in younger age group (median, 13.5 vs. 18.0 μg/mL, P = 0.038). Median trough levels were higher in patients with decreased renal functions (P < 0.001). In addition, among eight with gram-positive bacteremia, seven of them had a favorable outcome. CONCLUSION This study provides additive information on trough level monitoring of teicoplanin in children with impaired renal function and treatment effect in patients with gram-positive bacteremia. Careful monitoring for steady state trough levels of teicoplanin is warranted.
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Affiliation(s)
- Joon Sik Choi
- Department of Pediatrics, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea
- Department of Pediatrics, Yonsei University of Medicine, Yongin Severance Hospital, Yongin, Korea
| | - Jong Min Kim
- Department of Pediatrics, Myongji Hospital, Goyang, Korea
| | - Dongsub Kim
- Department of Pediatrics, Kyungpook National University Hospital, Daegu, Korea
| | - Si Ho Kim
- Department of Infectious Diseases, Samsung Changwon Hospital, Changwon, Korea
| | - Heeyeon Cho
- Department of Pediatrics, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea
| | - Hyung Doo Park
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea
| | - Soo Youn Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea
| | - Cheol In Kang
- Department of Infectious Diseases, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea
| | - Yae Jean Kim
- Department of Pediatrics, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea.
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15
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König C, Kluge S, Wicha SG. [Therapeutic drug monitoring of antiinfectives in intensive care unit patients - what's new?]. Dtsch Med Wochenschr 2020; 145:1764-1769. [PMID: 33254251 DOI: 10.1055/a-1207-1914] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Pharmacokinetic and pharmacodynamic changes in intensive care unit patients can increase the risk for therapeutic failure or adverse effects of anti-infective therapy. Therapeutic drug monitoring (TDM) can inform required dose adaptions. The present article reviews the current practice and outlines modern approaches for decision making such as model-informed precision dosing software using the area-under-the-concentration-time-curve as target in favor of simplistic decision making based on trough concentrations. Moreover, the current recommendations for performing TDM of beta-lactams, aminoglycosides, linezolid, glycopeptides and voriconazole are concisely summarized.
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Affiliation(s)
- Christina König
- Universitätsklinikum Hamburg-Eppendorf, Klinik für Intensivmedizin.,Universitätsklinikum Hamburg- Eppendorf, Klinikapotheke
| | - Stefan Kluge
- Universitätsklinikum Hamburg-Eppendorf, Klinik für Intensivmedizin
| | - Sebastian G Wicha
- Universität Hamburg, Institut für Pharmazie, Abt. Klinische Pharmazie
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16
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Sun D, Zhang T, Mi J, Dong Y, Liu Y, Zhang Y, Zhang D, Wang T, Cheng H, Dong Y. Therapeutic Drug Monitoring and Nephrotoxicity of Teicoplanin Therapy in Chinese Children: A Retrospective Study. Infect Drug Resist 2020; 13:4105-4113. [PMID: 33209040 PMCID: PMC7669515 DOI: 10.2147/idr.s272982] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 09/19/2020] [Indexed: 11/23/2022] Open
Abstract
Purpose This study aims to 1) describe the distribution characteristics of teicoplanin trough concentration (Cmin) and explore the related influencing factors and 2) evaluate the nephrotoxicity of teicoplanin in children. Patients and Methods A cohort of children who were treated with teicoplanin intravenously were included in this retrospective study. Regression analysis was performed to explore the factors associated with the fluctuations of teicoplanin Cmin and the development of nephrotoxicity. Classification and regression tree analysis was used to identify the population at high risk for teicoplanin nephrotoxicity. Results A total of 269 plasma samples from 186 children were collected. Underexposure (Cmin < 10 mg/L) was documented in 52.7% of cases. The Cmin/dose after administering the loading dose was strongly associated with age (P = 0.008), weight (P = 0.039), and serum creatinine (P = 0.022). The Cmin/dose after administering the maintenance dose was strongly associated with gender (P = 0.014) and serum creatinine (P = 0.006). Cmin (P = 0.012) and the concomitant treatment with amphotericin B (P = 0.001) were the independent risk factors for teicoplanin-related nephrotoxicity. Children who were concomitantly treated by amphotericin B with teicoplanin Cmin > 9.81 mg/L or patients with teicoplanin Cmin > 21.94 mg/L were at high risk for nephrotoxicity. Conclusion The fluctuations of teicoplanin Cmin could be affected by age, weight, gender, and serum creatinine. Cmin and concomitant treatment with amphotericin B were the independent risk factors for nephrotoxicity. We suggested that the therapeutic drug monitoring of teicoplanin should be performed in children.
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Affiliation(s)
- Dan Sun
- Department of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China
| | - Tao Zhang
- Department of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China
| | - Jie Mi
- Department of Pharmacy, Xi'an Children's Hospital, Xi'an, Shaanxi 710003, People's Republic of China
| | - Yuzhu Dong
- Department of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120, People's Republic of China
| | - Yang Liu
- Department of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China
| | - Ying Zhang
- Department of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China
| | - Di Zhang
- Department of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China
| | - Taotao Wang
- Department of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China
| | - Hua Cheng
- Department of Pharmacy, Xi'an Children's Hospital, Xi'an, Shaanxi 710003, People's Republic of China
| | - Yalin Dong
- Department of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China
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17
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Abdul-Aziz MH, Alffenaar JWC, Bassetti M, Bracht H, Dimopoulos G, Marriott D, Neely MN, Paiva JA, Pea F, Sjovall F, Timsit JF, Udy AA, Wicha SG, Zeitlinger M, De Waele JJ, Roberts JA. Antimicrobial therapeutic drug monitoring in critically ill adult patients: a Position Paper .. Intensive Care Med 2020; 46:1127-1153. [PMID: 32383061 PMCID: PMC7223855 DOI: 10.1007/s00134-020-06050-1] [Citation(s) in RCA: 526] [Impact Index Per Article: 131.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 04/10/2020] [Indexed: 12/12/2022]
Abstract
Purpose This Position Paper aims to review and discuss the available data on therapeutic drug monitoring (TDM) of antibacterials, antifungals and antivirals in critically ill adult patients in the intensive care unit (ICU). This Position Paper also provides a practical guide on how TDM can be applied in routine clinical practice to improve therapeutic outcomes in critically ill adult patients.
Methods Literature review and analysis were performed by Panel Members nominated by the endorsing organisations, European Society of Intensive Care Medicine (ESICM), Pharmacokinetic/Pharmacodynamic and Critically Ill Patient Study Groups of European Society of Clinical Microbiology and Infectious Diseases (ESCMID), International Association for Therapeutic Drug Monitoring and Clinical Toxicology (IATDMCT) and International Society of Antimicrobial Chemotherapy (ISAC). Panel members made recommendations for whether TDM should be applied clinically for different antimicrobials/classes. Results TDM-guided dosing has been shown to be clinically beneficial for aminoglycosides, voriconazole and ribavirin. For most common antibiotics and antifungals in the ICU, a clear therapeutic range has been established, and for these agents, routine TDM in critically ill patients appears meritorious. For the antivirals, research is needed to identify therapeutic targets and determine whether antiviral TDM is indeed meritorious in this patient population. The Panel Members recommend routine TDM to be performed for aminoglycosides, beta-lactam antibiotics, linezolid, teicoplanin, vancomycin and voriconazole in critically ill patients. Conclusion Although TDM should be the standard of care for most antimicrobials in every ICU, important barriers need to be addressed before routine TDM can be widely employed worldwide. Electronic supplementary material The online version of this article (10.1007/s00134-020-06050-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mohd H Abdul-Aziz
- University of Queensland Centre for Clinical Research (UQCCR), Faculty of Medicine, The University of Queensland, Brisbane, QLD, 4029, Australia
| | - Jan-Willem C Alffenaar
- School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.,Westmead Hospital, Westmead, NSW, Australia.,Marie Bashir Institute of Infectious Diseases and Biosecurity, University of Sydney, Sydney, NSW, Australia
| | - Matteo Bassetti
- Infectious Diseases Clinic, Department of Health Sciences, University of Genoa, Genoa and Hospital Policlinico San Martino - IRCCS, Genoa, Italy
| | - Hendrik Bracht
- Department of Anaesthesiology, University Ulm, Ulm, Germany
| | - George Dimopoulos
- Department of Critical Care, University Hospital Attikon, National and Kapodistrian University of Athens, Athens, Greece
| | - Deborah Marriott
- Department of Microbiology and Infectious Diseases, St. Vincent's Hospital, Sydney, NSW, Australia
| | - Michael N Neely
- Department of Paediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Division of Infectious Diseases, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Jose-Artur Paiva
- Department of Medicine, Faculty of Medicine of Porto, Porto, Portugal.,Department of Emergency and Intensive Care Medicine, Centro Hospitalar Universitario de São João, Porto, Portugal
| | - Federico Pea
- Institute of Clinical Pharmacology, SM Misericordia University Hospital, ASUFC, Udine, Italy
| | - Fredrik Sjovall
- Department of Perioperative Medicine, Skåne University Hospital, Malmö, Sweden
| | - Jean F Timsit
- Department of Intensive Care Medicine and Infectious Diseases, Bichat-Claude Bernard University Hospital, AP-HP, Paris, France.,Infection, Antimicrobials, Modelling, Evolution (IAME), Paris Diderot University, Paris, France
| | - Andrew A Udy
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.,Department of Intensive Care and Hyperbaric Medicine, The Alfred, Melbourne, VIC, Australia
| | - Sebastian G Wicha
- Department of Clinical Pharmacy, Institute of Pharmacy, University of Hamburg, Hamburg, Germany
| | - Markus Zeitlinger
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Jan J De Waele
- Department of Critical Care Medicine, Ghent University Hospital, Ghent, Belgium
| | - Jason A Roberts
- University of Queensland Centre for Clinical Research (UQCCR), Faculty of Medicine, The University of Queensland, Brisbane, QLD, 4029, Australia. .,Department of Intensive Care Medicine and Pharmacy, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia. .,Centre for Translational Anti-infective Pharmacodynamics, School of Pharmacy, The University of Queensland, Brisbane, QLD, Australia. .,Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, Nîmes, France.
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18
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Gao L, Xu H, Ye Q, Li S, Wang J, Mei Y, Niu C, Kang T, Chen C, Wang Y. Population Pharmacokinetics and Dosage Optimization of Teicoplanin in Children With Different Renal Functions. Front Pharmacol 2020; 11:552. [PMID: 32431611 PMCID: PMC7214819 DOI: 10.3389/fphar.2020.00552] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Accepted: 04/09/2020] [Indexed: 12/12/2022] Open
Abstract
Objective The purposes of our study were to investigate the population pharmacokinetics of teicoplanin in Chinese children with different renal functions and to propose the appropriate dosing regimen for these pediatric patients. Methods We performed a prospective pharmacokinetic research on children aged 0-10 years, with different renal functions. The population pharmacokinetics model of teicoplanin was developed using NLME program. The individualized optimal dosage regimen was proposed on the basis of the obtained population pharmacokinetics parameters. Results To achieve the target trough level of 10-30 mg/L, optimal dosing regimen for children with different renal functions are predicted as follows based on the population PK simulations: children with moderate renal insufficiency need three loading doses of 6 mg/kg q12h followed by a maintenance dose of 5 mg/kg qd; children with mild renal insufficiency require three loading doses of 12 mg/kg q12h followed by a maintenance dose of 8 mg/kg qd; children with normal or augmented renal function should be given three loading doses of 12 mg/kg q12h followed by a maintenance doses of 10 mg/kg qd. Conclusion The first study on the population pharmacokinetics of teicoplanin in Chinese children with different renal functions was performed. Individualized dosing regimen was recommended for different renal function groups based on population PK model prediction.
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Affiliation(s)
- Liuliu Gao
- Department of Clinical Pharmacy, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hua Xu
- Department of Clinical Pharmacy, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Ye
- Department of Clinical Pharmacy, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sichan Li
- Department of Clinical Pharmacy, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Wang
- Department of Clinical Pharmacy, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Mei
- Department of Clinical Pharmacy, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Changhe Niu
- Department of Clinical Pharmacy, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ting Kang
- Department of Neonatology, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chen Chen
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Wang
- Department of Clinical Pharmacy, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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19
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Evaluating the optimal dose of teicoplanin with therapeutic drug monitoring: not too high for adverse event, not too low for treatment efficacy. Eur J Clin Microbiol Infect Dis 2019; 38:2113-2120. [PMID: 31372903 DOI: 10.1007/s10096-019-03652-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 07/17/2019] [Indexed: 12/17/2022]
Abstract
Therapeutic drug monitoring (TDM) of teicoplanin is aimed at minimizing the clinical impact of pharmacokinetic variability; however, its benefits are still being defined. We performed a retrospective study of teicoplanin TDM focusing on the dose-serum concentration relationship and clinical outcomes in a clinical setting. From January 2017 to December 2018, patients receiving teicoplanin ≥ 72 h with TDM were enrolled. Patients were divided into three groups: non-loading (NL) group, low-dose loading (LD) group (loading dose < 9 mg/kg), and high-dose loading (HD) group (≥ 9 mg/kg). Serum teicoplanin trough concentration (Cmin) and adverse events (AEs) were evaluated in each regimen. A subgroup of patients with bacteremia was analyzed to evaluate clinical efficacy. Among 65 patients, 12, 18, and 35 were grouped in NL, LD, and HD, respectively. Achievement rates of Cmin > 20 mg/L within 10 days were significantly different among the groups (25.0%, 38.9%, and 68.6% in the NL, LD, and HD groups, respectively; P = 0.014). Fourteen patients (21.5%) had AEs, and higher Cmin over 10 days (adjusted odds ratio 2.08 per every 20 mg/L increases, 95% CI 1.13-3.84, P = 0.019) and age ≥ 65 years (P = 0.009) were identified as independent risk factors. In the subgroup analysis, HD regimen (P = 0.050) and high mean Cmin over 10 days (P = 0.025) were significantly associated with treatment success. Although HL regimen could achieve Cmin targets and improve clinical outcome during teicoplanin treatment, high Cmin was associated with AEs during treatment. Routine TDM can be helpful to optimize teicoplanin administration.
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Single-centre retrospective observational study comparing trough blood concentration and safety of teicoplanin formulations. J Infect Chemother 2019; 25:563-566. [DOI: 10.1016/j.jiac.2019.03.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 12/22/2018] [Accepted: 03/11/2019] [Indexed: 11/30/2022]
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Ogami C, Tsuji Y, Muraki Y, Mizoguchi A, Okuda M, To H. Population Pharmacokinetics and Pharmacodynamics of Teicoplanin and C-Reactive Protein in Hospitalized Patients With Gram-Positive Infections. Clin Pharmacol Drug Dev 2019; 9:175-188. [PMID: 30934169 DOI: 10.1002/cpdd.684] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 03/11/2019] [Indexed: 01/08/2023]
Abstract
Teicoplanin is an antibiotic agent used for the treatment of Gram-positive infections. The clinical benefit of teicoplanin is associated with its blood concentrations, but the optimal dosing regimen is not yet known. To explore the optimal individual dosing regimen, we performed a population pharmacokinetic (PK) and pharmacodynamic (PD) analysis targeting a large-scale population, including patients with a wide range of ages, body weights, and renal functions. The PK of teicoplanin was described with a 2-compartment model, and the PD of C-reactive protein (CRP) concentrations was described with a turnover maximum inhibition model. The elimination half-life of teicoplanin calculated from the final estimated parameters was 169 hours, and renal function was a significant covariate of teicoplanin clearance. The teicoplanin concentration producing 50% of the maximum inhibition of CRP production was estimated to be 2.66 mg/L. The minimum concentration of teicoplanin in patients with higher loading doses (15 mg/kg) reached the target range (15-30 mg/L) with a probability of >50% in the dosing simulation. We described the influence of body size, body composition, and renal function on the PK of teicoplanin. The population PKPD model of teicoplanin and CRP in this study should provide useful information for development of a dosing strategy including the sequential clinical benefit of teicoplanin.
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Affiliation(s)
- Chika Ogami
- Department of Medical Pharmaceutics, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Yasuhiro Tsuji
- Department of Medical Pharmaceutics, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Yuichi Muraki
- Department of Pharmacy, Mie University Hospital, Tsu, Japan.,Department of Clinical Pharmacoepidemiology, Kyoto Pharmaceutical University, Kyoto, Japan
| | - Akiko Mizoguchi
- Department of Pharmacy, Sasebo Chuo Hospital, Nagasaki, Japan
| | - Masahiro Okuda
- Department of Pharmacy, Mie University Hospital, Tsu, Japan
| | - Hideto To
- Department of Medical Pharmaceutics, Faculty of Pharmaceutical Sciences, University of Toyama, Toyama, Japan
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Jung J, Lee K, Oh J, Choi R, Woo HI, Park HD, Kang CI, Kim YJ, Lee SY. Therapeutic drug monitoring of teicoplanin using an LC-MS/MS method: Analysis of 421 measurements in a naturalistic clinical setting. J Pharm Biomed Anal 2019; 167:161-165. [PMID: 30776754 DOI: 10.1016/j.jpba.2019.02.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 02/01/2019] [Accepted: 02/03/2019] [Indexed: 12/29/2022]
Abstract
Teicoplanin is a glycopeptide antibiotic used for treatment of severe Gram-positive bacterial infection. The aim of this study was to develop and validate a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for therapeutic drug monitoring (TDM) of teicoplanin and to review our clinical experience. We established an LC-MS/MS method to analyze serum concentration of teicoplanin using simple protein precipitation with a 5 min run time for each sample. The linearity, lower limit of quantitation, detection accuracy, precision, carryover, matrix effect, and extraction recovery were evaluated. From September 2014 to June 2017, a total of 421 serum teicoplanin concentrations was measured in 223 patients. We collected demographic and clinical data, medication history, and laboratory findings through retrospective review of medical records. The LC-MS/MS method was linear for serum teicoplanin concentrations in the range of 12.0-89.0 μg/mL. The intra- and inter-assay precisions were below CV 7.5%. The accuracy was less than ±10% bias. The lower limit of quantification was 0.2 μg/mL. The extraction recovery ranged from 88.8% to 96.6%. Of 421 measurements, 87 (20.7%) were subtherapeutic (< 10 μg/mL), and four (0.9%) were above the toxic threshold (≥ 60 μg/mL). Serum teicoplanin concentration was measured once in 140 patients (63%), and multiple measurements were completed for the others (83 patients, 37%). Intra-patient variability in teicoplanin concentration was found (CV 33%, range 2-94%). Our simple and rapid LC-MS/MS method was successfully applied in TDM of teicoplanin in clinical practice. Such TDM of teicoplanin may be useful for individualized dose adjustment.
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Affiliation(s)
- Jaewan Jung
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyunghoon Lee
- Department of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jongwon Oh
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Rihwa Choi
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Department of Laboratory Medicine, Green Cross Laboratories, Gyeonggi-do, Republic of Korea
| | - Hye In Woo
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hyung-Doo Park
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Cheol-In Kang
- Division of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yae-Jean Kim
- Division of Pediatric Infectious Diseases and Immunodeficiency, Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Soo-Youn Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Department of Clinical Pharmacology & Therapeutics, Samsung Medical Center, Seoul, Republic of Korea.
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23
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Tsai CY, Lee CH, Chen IL. Daptomycin versus teicoplanin for bloodstream infection due to methicillin-resistant Staphylococcus aureus with a high teicoplanin minimal inhibitory concentration ≥1.5 mg/L: a propensity score-based analysis. Infect Drug Resist 2018; 11:2011-2020. [PMID: 30464543 PMCID: PMC6208792 DOI: 10.2147/idr.s184411] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Background Recent reports have described decreased effectiveness of teicoplanin in the treatment of bacteremia due to methicillin-resistant Staphylococcus aureus (MRSA) with teicoplanin minimal inhibitory concentration (MIC) ≥1.5 mg/L. Consensus guidelines recommend considering use of alternative agents for MRSA infections involving a higher teicoplanin MIC, despite of limited data to support this recommendation. Patients and methods To compare the clinical outcome among patients with bacteremia due to MRSA with teicoplanin MIC ≥1.5 mg/L, we included patients who received high-dose daptomycin (≥8 mg/kg/day) and those who received standard-dose (6 mg/kg/day) or high-dose (6 mg/kg/12 hours) maintenance teicoplanin. The primary endpoint was a favorable outcome, defined as the resolution of clinical signs and symptoms and a negative culture report at the end of therapy. Adjusted analyses were performed by multivariate analysis and propensity score-based matching. Results Of 142 patients eligible for inclusion, 28 (19.7%) were treated with high-dose daptomycin, 27 (19.0%) with high-dose teicoplanin, and 87 (61.3%) with standard-dose teicoplanin. In multivariate regression analysis, Pittsburgh bacteremia score ≥4 (OR, 5.3; 95%CI, 1.9-14.5) was independently associated with an unfavorable outcome. After propensity-score matching with age and Pittsburgh bacteremia score ≥4, patients on high-dose daptomycin were more likely to have favorable outcomes than those on standard-dose teicoplanin (74.1% vs 42.6%; P=0.02). However, there was no significant difference in terms of favorable outcomes (P=0.12) between patients receiving high-dose daptomycin and those receiving high-dose teicoplanin after the same propensity-score matching. Conclusion Treatment with high-dose daptomycin resulted in significantly better outcomes than with standard-dose teicoplanin in the treatment of MRSA bacteremia with teicoplanin MIC ≥1.5 mg/L. However, the clinical outcome of the patients receiving high-dose teicoplanin was similar to that of the patients receiving high-dose daptomycin.
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Affiliation(s)
- Ching-Yen Tsai
- Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan,
| | - Chen-Hsiang Lee
- Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan, .,College of Medicine, Chang Gung University College of Medicine, Kaohsiung, Taiwan,
| | - I-Ling Chen
- Department of Pharmacy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
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