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Kim YK, Kim D, Kang G, Zang DY, Lee DH. Pharmacokinetics of Vancomycin in Healthy Korean Volunteers and Monte Carlo Simulations to Explore Optimal Dosage Regimens in Patients with Normal Renal Function. Antibiotics (Basel) 2024; 13:993. [PMID: 39452259 PMCID: PMC11504268 DOI: 10.3390/antibiotics13100993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Revised: 10/12/2024] [Accepted: 10/17/2024] [Indexed: 10/26/2024] Open
Abstract
Background/Objectives: To date, population pharmacokinetic (PK) studies of vancomycin on healthy Korean adults have not been conducted. This study aimed to investigate the PK properties of vancomycin in healthy volunteers and to identify optimal dosing regimens based on the area under the concentration-time curve (AUC) in adult patients with normal renal function. Methods: We conducted a prospective clinical study, analysing PK samples from 12 healthy participants using noncompartmental analysis and non-linear mixed-effects modelling. The population PK parameters derived were employed in Monte Carlo simulations to evaluate the adequacy of the current dosing regimen and to formulate dosing recommendations. Results: The PK profiles were optimally described by a two-compartment model, with body weight and age as significant covariates affecting total clearance. The simulations indicated that to achieve a therapeutic target-defined as an AUC at steady-state over 24 h of 400-600 mg·h/L-daily doses ranging from 60 to 70 mg/kg are necessary in adults with normal renal function. Conclusions: This study underscores the need to actively adjust dosage and administration based on a vancomycin PK model that adequately reflects the demographic characteristics of patients to meet both safety and efficacy standards.
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Affiliation(s)
- Yong Kyun Kim
- Division of Infectious Diseases, Department of Internal Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14066, Republic of Korea;
| | - Doee Kim
- Department of Medicine, Hallym University College of Medicine, Chuncheon 24252, Republic of Korea;
| | - Gaeun Kang
- Division of Clinical Pharmacology, Chonnam National University Hospital, Gwangju 61469, Republic of Korea;
| | - Dae Young Zang
- Division of Hematology-Oncology, Department of Internal Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14066, Republic of Korea;
| | - Dong-Hwan Lee
- Department of Clinical Pharmacology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14066, Republic of Korea
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2
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Alakeel YS, Alahmed Y, Alanazi G, Alawbathani B, Alshutwi K, Almeshary M, Aldhahri F, Alshakrah M. An evaluation of the empirical vancomycin dosing guide in pediatric cardiology. BMC Pediatr 2024; 24:575. [PMID: 39261805 PMCID: PMC11389283 DOI: 10.1186/s12887-024-05048-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 09/02/2024] [Indexed: 09/13/2024] Open
Abstract
BACKGROUND Higher doses of vancomycin are currently prescribed due to the emergence of bacterial tolerance and resistance. This study aimed to evaluate the efficacy and safety of the currently adopted vancomycin dosing guide in pediatric cardiology. METHODS This was a single-center prospective cohort study with pediatric cardiac patients, younger than 14 years, from June 2020 to March 2021. The patients received intravenous vancomycin (40 mg/kg/day divided every 6-8 h) according to the department's vancomycin medication administration guide (MAG) for at least three days. RESULTS In total, 88 cardiac patients were included, with a median age of 0.82 years (IQR: 0.25-2.9), and 51 (58%) received cardiopulmonary bypass surgery (CPB). The majority (71.6%, n = 61) achieved a serum vancomycin level within the therapeutic range (7-20 mg/L). Infants, young children, and children exposed to CPB surgery had an increased incidence of subtherapeutic vancomycin levels, [7 (29.2%); P = 0.033], [13 (54.2%); P = 0.01], and [21 (87.5%); P = 0.009] respectively. After the treatment, 8 (10%) patients had an elevated Serum creatinine (SCr) and 2 (2.5%) developed acute kidney injury (AKI). However, no significant difference was found between the patients developing AKI or an elevated SCr and the group who did not, in terms of clinical, therapeutic, and demographic characteristics, except for the decreased incidence of SCr elevation in patients receiving an ACE inhibitor, [4 (36.4%); P = 0.036]. CONCLUSION Our institution followed MAG recommendations; however, subtherapeutic serum concentrations were evident in infants, young children, and CPB patients. Strategies to prevent AKI should be investigated, as the possible causes have not been identified in this study.
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Affiliation(s)
- Yousif S Alakeel
- Department Pharmaceutical Care Services, King Abdulaziz Medical City, Ministry of the National Guard - Health Affairs, Riyadh, Saudi Arabia.
- College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
- Department of Pharmaceutical Care Services, King Abdulaziz Medical City, Ministry of the National Guard - Health Affairs, Riyadh, Saudi Arabia.
| | - Yazeed Alahmed
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
- Department of Pediatrics, College of Medicine, Qassim University, Qassim, Saudi Arabia
| | - Ghadah Alanazi
- College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Bushra Alawbathani
- College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Kadi Alshutwi
- College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Meshary Almeshary
- Department Pharmaceutical Care Services, King Abdulaziz Medical City, Ministry of the National Guard - Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Fahad Aldhahri
- Department Pharmaceutical Care Services, King Abdulaziz Medical City, Ministry of the National Guard - Health Affairs, Riyadh, Saudi Arabia
- College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Meshal Alshakrah
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
- Saudi Medication Safety Center, Ministry of the National Guard - Health Affairs, Riyadh, Saudi Arabia
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3
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Tesfamariam NS, Aboelezz A, Mahmoud SH. The Impact of Augmented Renal Clearance on Vancomycin Pharmacokinetics and Pharmacodynamics in Critically Ill Patients. J Clin Med 2024; 13:2317. [PMID: 38673590 PMCID: PMC11051385 DOI: 10.3390/jcm13082317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 04/06/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
Augmented renal clearance (ARC), defined as a creatinine clearance (CrCl) > 130 mL/min/1.73 m2, is observed in 30-65% of critically ill patients. When following standard dosage guidelines, patients with ARC often experience subtherapeutic vancomycin levels, resulting in treatment failure due to accelerated drug elimination. This review aims to explore ARC's impact on vancomycin pharmacokinetics and pharmacodynamics (PK/PD) indices in ARC patients, seeking to identify an accurate dose adjustment method for this patient population. In September 2023, a comprehensive literature search was conducted on the MEDLINE and EMBASE databases to include all available studies providing information on the impact of ARC on vancomycin therapy in critically ill adults. Articles that studied the pediatric population and those with insufficient PK data were excluded. A total of 21 articles met the inclusion criteria. The findings revealed a positive correlation between CrCl and vancomycin clearance, indicating low serum concentrations. Therefore, upward dosing adjustments are necessary to improve treatment success. Younger age consistently emerged as a major contributor to ARC and vancomycin PK/PD alterations. This study summarizes the PK/PD alterations, current dosage recommendations and proposes preliminary recommendations on possible dosing approaches to decrease the risk of subtherapeutic exposure in this patient population.
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Affiliation(s)
| | - Asma Aboelezz
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB T6G 2E1, Canada;
| | - Sherif Hanafy Mahmoud
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB T6G 2E1, Canada;
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4
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Tsuda Y, Takahashi M, Watanabe F, Goto K, Echizen H. Population Pharmacokinetic Analysis of Vancomycin in Patients with Solid or Hematological Malignancy in Relation to the Quick Sequential Organ Failure Assessment Scores. Eur J Drug Metab Pharmacokinet 2023; 48:647-655. [PMID: 37695498 DOI: 10.1007/s13318-023-00850-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2023] [Indexed: 09/12/2023]
Abstract
BACKGROUND AND OBJECTIVE It remains unclear whether sepsis in patients with malignancy interferes with the predictive performance of the dose-estimation formulas. The quick sequential organ failure assessment (qSOFA) score can help identify patients with poor outcomes because of sepsis-associated organ damage. Vancomycin, an important antibiotic, treats systemic infections (sepsis) caused by methicillin-resistant Staphylococcus aureus. We aimed to clarify whether including the qSOFA score in a standard population pharmacokinetic (PopPK) assessment may improve the predictive performance of vancomycin doses in patients with malignancy. METHODS This was a retrospective, observational study. Serum vancomycin concentration-time datasets were obtained from the therapeutic drug monitoring records of St. Luke's International Hospital (Tokyo, Japan) from January 2011 to August 2016. Clinical and laboratory data of the relevant patients were retrieved from electronic health records. PopPK analysis was performed using the NONMEM program, which includes creatinine clearance (CLCr), blood neutrophil counts, qSOFA scores, and type of malignancy as covariates. We examined the validity of the final PopPK model using bootstrapping, goodness-of-fit plots, and prediction-corrected visual predictive checks. RESULTS Six hundred and eight blood samples were obtained from 325 patients. In the final PopPK model, the CLCr and qSOFA scores were selected as covariates of systemic vancomycin clearance (p < 0.05): the population mean value was 2.8 (L/h). Regardless of the CLCr, a qSOFA score of greater than 1 was associated with an approximately 10% reduction in vancomycin clearance. CONCLUSIONS qSOFA scores might be an additional covariate to CLCr for estimating vancomycin concentrations with a PopPK model in patients with malignancy.
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Affiliation(s)
- Yasumasa Tsuda
- Department of Pharmacy, St. Luke's International Hospital, 9-1 Akashi-cho, Chuo-ku, Tokyo, 104-8560, Japan.
| | - Masahiro Takahashi
- Department of Pharmacotherapy, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo, 204-8588, Japan
| | - Fumiya Watanabe
- Department of Pharmacometrics and Pharmacokinetics, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo, 204-8588, Japan
| | - Kazumi Goto
- Department of Pharmacy, St. Luke's International Hospital, 9-1 Akashi-cho, Chuo-ku, Tokyo, 104-8560, Japan
| | - Hirotoshi Echizen
- Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo, 204-8588, Japan
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5
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Huang CY, Güiza F, Wouters P, Mebis L, Carra G, Gunst J, Meersseman P, Casaer M, Van den Berghe G, De Vlieger G, Meyfroidt G. Development and validation of the creatinine clearance predictor machine learning models in critically ill adults. Crit Care 2023; 27:272. [PMID: 37415234 PMCID: PMC10327364 DOI: 10.1186/s13054-023-04553-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/28/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND In critically ill patients, measured creatinine clearance (CrCl) is the most reliable method to evaluate glomerular filtration rate in routine clinical practice and may vary subsequently on a day-to-day basis. We developed and externally validated models to predict CrCl one day ahead and compared them with a reference reflecting current clinical practice. METHODS A gradient boosting method (GBM) machine-learning algorithm was used to develop the models on data from 2825 patients from the EPaNIC multicenter randomized controlled trial database. We externally validated the models on 9576 patients from the University Hospitals Leuven, included in the M@tric database. Three models were developed: a "Core" model based on demographic, admission diagnosis, and daily laboratory results; a "Core + BGA" model adding blood gas analysis results; and a "Core + BGA + Monitoring" model also including high-resolution monitoring data. Model performance was evaluated against the actual CrCl by mean absolute error (MAE) and root-mean-square error (RMSE). RESULTS All three developed models showed smaller prediction errors than the reference. Assuming the same CrCl of the day of prediction showed 20.6 (95% CI 20.3-20.9) ml/min MAE and 40.1 (95% CI 37.9-42.3) ml/min RMSE in the external validation cohort, while the developed model having the smallest RMSE (the Core + BGA + Monitoring model) had 18.1 (95% CI 17.9-18.3) ml/min MAE and 28.9 (95% CI 28-29.7) ml/min RMSE. CONCLUSIONS Prediction models based on routinely collected clinical data in the ICU were able to accurately predict next-day CrCl. These models could be useful for hydrophilic drug dosage adjustment or stratification of patients at risk. TRIAL REGISTRATION Not applicable.
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Affiliation(s)
- Chao-Yuan Huang
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Fabian Güiza
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Pieter Wouters
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Liese Mebis
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Giorgia Carra
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Jan Gunst
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Philippe Meersseman
- Department of General Internal Medicine, Medical Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium
| | - Michael Casaer
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Greet Van den Berghe
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Greet De Vlieger
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Geert Meyfroidt
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium.
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6
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Huang CY, Güiza F, Gijsen M, Spriet I, Dauwe D, Debaveye Y, Peetermans M, Wauters J, Van den Berghe G, Meyfroidt G, De Vlieger G. External Validation of the Augmented Renal Clearance Predictor in Critically Ill COVID-19 Patients. Antibiotics (Basel) 2023; 12:antibiotics12040698. [PMID: 37107060 PMCID: PMC10135364 DOI: 10.3390/antibiotics12040698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 04/07/2023] Open
Abstract
The ARC predictor is a prediction model for augmented renal clearance (ARC) on the next intensive care unit (ICU) day that showed good performance in a general ICU setting. In this study, we performed a retrospective external validation of the ARC predictor in critically ill coronavirus disease 19 (COVID-19) patients admitted to the ICU of the University Hospitals Leuven from February 2020 to January 2021. All patient-days that had serum creatinine levels available and measured creatinine clearance on the next ICU day were enrolled. The performance of the ARC predictor was evaluated using discrimination, calibration, and decision curves. A total of 120 patients (1064 patient-days) were included, and ARC was found in 57 (47.5%) patients, corresponding to 246 (23.1%) patient-days. The ARC predictor demonstrated good discrimination and calibration (AUROC of 0.86, calibration slope of 1.18, and calibration-in-the-large of 0.14) and a wide clinical-usefulness range. At the default classification threshold of 20% in the original study, the sensitivity and specificity were 72% and 81%, respectively. The ARC predictor is able to accurately predict ARC in critically ill COVID-19 patients. These results support the potential of the ARC predictor to optimize renally cleared drug dosages in this specific ICU population. Investigation of dosing regimen improvement was not included in this study and remains a challenge for future studies.
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Affiliation(s)
- Chao-Yuan Huang
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
| | - Fabian Güiza
- Department of Intensive Care Medicine, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Matthias Gijsen
- Pharmacy Department, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Isabel Spriet
- Pharmacy Department, University Hospitals Leuven, 3000 Leuven, Belgium
- Department of Pharmaceutical and Pharmacological Sciences, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
| | - Dieter Dauwe
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Yves Debaveye
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Marijke Peetermans
- Laboratory for Clinical Infectious and Inflammatory Disorders, Department of Microbiology, Immunology and Transplantation, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
- Medical Intensive Care Unit, Department of General Internal Medicine, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Joost Wauters
- Laboratory for Clinical Infectious and Inflammatory Disorders, Department of Microbiology, Immunology and Transplantation, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
- Medical Intensive Care Unit, Department of General Internal Medicine, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Greet Van den Berghe
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Geert Meyfroidt
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Greet De Vlieger
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, 3000 Leuven, Belgium
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7
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Sahraei Z, Saffaei A, Alavi Darazam I, Salamzadeh J, Shabani M, Shokouhi S, Sarvmeili N, Hajiesmaeili M, Zangi M. Evaluation of vancomycin pharmacokinetics in patients with augmented renal clearances: A randomized clinical trial. Front Pharmacol 2022; 13:1041152. [DOI: 10.3389/fphar.2022.1041152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 10/31/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose: Vancomycin is a narrow therapeutic window glycopeptide antibiotic that acts against Gram-positive bacteria. As it is renally eliminated, therapeutic drug monitoring is recommended for vancomycin, especially in case of kidney function alteration. Augmented renal clearance (ARC), defined as a creatinine clearance of more than 130 ml/min, is a risk factor for sub-therapeutic concentrations of vancomycin. This study aimed to evaluate the vancomycin pharmacokinetics following the administration of two different regimens in ARC patients.Methods: A randomized clinical trial (IRCT20180802040665N1) was conducted on patients in need of vancomycin therapy. Eight hours of urine was collected and 56 patients divided into two groups with creatinine clearance of more than 130 ml/min were included in the study. The first group received 15 mg/kg of vancomycin every 12 h and the second group 15 mg/kg every 8 h. After four doses, the peak and trough concentrations were measured from two blood samples. The primary outcome was the percentage of patients who attainted AUC more than 400. The occurrence of acute kidney injury also was evaluated after seven days.Results: The mean age of patients in the every 12 h and every 8 h groups was 44.04 ± 16.55 and 42.86 ± 11.83 years, respectively. While neurosurgical issues were the most common causes of hospitalization, central nervous infections were the most common indications for vancomycin initiation. Urinary creatinine clearance was 166.94 ± 41.32 ml/min in the every 12 h group and 171.78 ± 48.56 ml/min in the every 8 h group. 46.42% of patients in the every 12 h group and 82.14% of patients in the every 8 h group attained AUC/MIC of more than 400 mg × hr/L. None of the patients in the every 12 h group reached more than 15 mcg/ml concentration. At the 7-day follow-up, 10.7% patients in the BD group and 28.6% patients in the TDS group developed acute kidney injury (p = 0.089).Conclusion: Administration of vancomycin at a dose of 15 mg/kg every 8 h is associated with higher pharmacokinetic attainment in ARC patients. The occurrence of acute kidney injury also was not significantly higher in this therapeutic regimen. AUC/MIC monitoring is necessary in this population.
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Hefny F, Sambhi S, Morris C, Kung JY, Stuart A, Mahmoud SH. Drug Dosing in Critically Ill Adult Patients with Augmented Renal Clearance. Eur J Drug Metab Pharmacokinet 2022; 47:607-620. [PMID: 35763238 DOI: 10.1007/s13318-022-00779-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2022] [Indexed: 11/03/2022]
Abstract
Augmented renal clearance (ARC) is a phenomenon of enhanced renal function seen in critically ill patients. ARC alters the disposition of renally eliminated medications currently used in the intensive care unit, resulting in underdosing and potential therapy failure. Our review addresses the rising concern of inadequate dosing in patients with ARC by summarizing the currently available evidence. To our knowledge, this guide is the first to provide clinicians with dose recommendation insights for renally eliminated agents in adult critically ill patients with ARC. A comprehensive literature search using MEDLINE, Embase, Cochrane Library, CINAHL, Scopus, and ProQuest Dissertations and Theses Global was conducted until 3 November 2021. Screening and data extraction were conducted in two steps: title and abstract screening followed by full-text review. Full text review resulted in a total of 51 studies included in this review. The results demonstrated the need for higher-than-standard doses for meropenem, imipenem, and vancomycin and reduced dosing intervals for ceftriaxone in patients with ARC. The potential need for increased dosing frequency in patients with ARC was also found for both enoxaparin and levetiracetam. In conclusion, ARC has been shown to influence the probability of target attainment in several medications requiring dosing changes to mitigate the risk of therapeutic failure.
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Affiliation(s)
- Fatma Hefny
- Katz Group Centre for Pharmacy and Health Research, Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, 3-142H, Edmonton, AB, T6G 2E1, Canada
| | - Sukhvir Sambhi
- Katz Group Centre for Pharmacy and Health Research, Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, 3-142H, Edmonton, AB, T6G 2E1, Canada
| | - Cassidy Morris
- Katz Group Centre for Pharmacy and Health Research, Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, 3-142H, Edmonton, AB, T6G 2E1, Canada
| | - Janice Y Kung
- Public Services Librarian, John W. Scott Health Sciences Library, University of Alberta, Edmonton, AB, Canada
| | - Anna Stuart
- Katz Group Centre for Pharmacy and Health Research, Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, 3-142H, Edmonton, AB, T6G 2E1, Canada
| | - Sherif Hanafy Mahmoud
- Katz Group Centre for Pharmacy and Health Research, Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, 3-142H, Edmonton, AB, T6G 2E1, Canada.
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9
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Xiao Q, Zhang H, Wu X, Qu J, Qin L, Wang C. Augmented Renal Clearance in Severe Infections-An Important Consideration in Vancomycin Dosing: A Narrative Review. Front Pharmacol 2022; 13:835557. [PMID: 35387348 PMCID: PMC8979486 DOI: 10.3389/fphar.2022.835557] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 02/25/2022] [Indexed: 12/15/2022] Open
Abstract
Vancomycin is a hydrophilic antibiotic widely used in severe infections, including bacteremia and central nervous system (CNS) infections caused by Gram-positive bacteria such as methicillin-resistant Staphylococcus aureus (MRSA), coagulase-negative staphylococci and enterococci. Appropriate antimicrobial dosage regimens can help achieve the target exposure and improve clinical outcomes. However, vancomycin exposure in serum and cerebrospinal fluid (CSF) is challenging to predict due to rapidly changing pathophysiological processes and patient-specific factors. Vancomycin concentrations may be decreased for peripheral infections due to augmented renal clearance (ARC) and increased distribution caused by systemic inflammatory response syndrome (SIRS), increased capillary permeability, and aggressive fluid resuscitation. Additionally, few studies on vancomycin’s pharmacokinetics (PK) in CSF for CNS infections. The relationship between exposure and clinical response is unclear, challenging for adequate antimicrobial therapy. Accurate prediction of vancomycin pharmacokinetics/pharmacodynamics (PK/PD) in patients with high interindividual variation is critical to increase the likelihood of achieving therapeutic targets. In this review, we describe the interaction between ARC and vancomycin PK/PD, patient-specific factors that influence the achievement of target exposure, and recent advances in optimizing vancomycin dosing schedules for severe infective patients with ARC.
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Affiliation(s)
- Qile Xiao
- Department of Neurology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Hainan Zhang
- Department of Neurology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiaomei Wu
- Department of Neurology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Jian Qu
- Department of Pharmacy, Second Xiangya Hospital, Central South University, Changsha, China
| | - Lixia Qin
- Department of Neurology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Chunyu Wang
- Department of Neurology, Second Xiangya Hospital, Central South University, Changsha, China
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10
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Silva CM, Baptista JP, Santos I, Martins P. Recommended Antibiotic Dosage Regimens in Critically Ill Patients with Augmented Renal Clearance: A Systematic Review. Int J Antimicrob Agents 2022; 59:106569. [DOI: 10.1016/j.ijantimicag.2022.106569] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 02/15/2022] [Accepted: 03/06/2022] [Indexed: 12/17/2022]
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11
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Reuter SE, Stocker SL, Alffenaar JWC, Baldelli S, Cattaneo D, Jones G, Koch BCP, Kocic D, Mathew SK, Molinaro M, Neely M, Sandaradura I, Marriott DJE. Optimal Practice for Vancomycin Therapeutic Drug Monitoring: Position Statement From the Anti-infectives Committee of the International Association of Therapeutic Drug Monitoring and Clinical Toxicology. Ther Drug Monit 2022; 44:121-132. [PMID: 34882107 DOI: 10.1097/ftd.0000000000000944] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 10/08/2021] [Indexed: 11/26/2022]
Abstract
ABSTRACT Individualization of vancomycin dosing based on therapeutic drug monitoring (TDM) data is known to improve patient outcomes compared with fixed or empirical dosing strategies. There is increasing evidence to support area-under-the-curve (AUC24)-guided TDM to inform vancomycin dosing decisions for patients receiving therapy for more than 48 hours. It is acknowledged that there may be institutional barriers to the implementation of AUC24-guided dosing, and additional effort is required to enable the transition from trough-based to AUC24-based strategies. Adequate documentation of sampling, correct storage and transport, accurate laboratory analysis, and pertinent data reporting are required to ensure appropriate interpretation of TDM data to guide vancomycin dosing recommendations. Ultimately, TDM data in the clinical context of the patient and their response to treatment should guide vancomycin therapy. Endorsed by the International Association of Therapeutic Drug Monitoring and Clinical Toxicology, the IATDMCT Anti-Infectives Committee, provides recommendations with respect to best clinical practice for vancomycin TDM.
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Affiliation(s)
- Stephanie E Reuter
- UniSA Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Sophie L Stocker
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
- Department of Clinical Pharmacology and Toxicology, St Vincent's Hospital, Sydney, Australia
- St Vincent's Clinical School, Faculty of Medicine, The University of New South Wales, Sydney, Australia
| | - Jan-Willem C Alffenaar
- Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
- Department of Pharmacy, Westmead Hospital, Sydney, Australia
- Marie Bashir Institute of Infectious Diseases and Biosecurity, The University of Sydney, Sydney, Australia
| | - Sara Baldelli
- Unit of Clinical Pharmacology, ASST Fatebenefratelli Sacco University Hospital, Milan, Italy
| | - Dario Cattaneo
- Unit of Clinical Pharmacology, ASST Fatebenefratelli Sacco University Hospital, Milan, Italy
| | - Graham Jones
- St Vincent's Clinical School, Faculty of Medicine, The University of New South Wales, Sydney, Australia
- Department of Chemical Pathology and Clinical Pharmacology, SydPath, St Vincent's Hospital, Sydney, Australia
| | - Birgit C P Koch
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Danijela Kocic
- St Vincent's Clinical School, Faculty of Medicine, The University of New South Wales, Sydney, Australia
- Department of Chemical Pathology and Clinical Pharmacology, SydPath, St Vincent's Hospital, Sydney, Australia
| | - Sumith K Mathew
- Department of Pharmacology and Clinical Pharmacology, Christian Medical College, Vellore, India
| | - Mariadelfina Molinaro
- Department of Diagnostic Medicine, Clinical and Experimental Pharmacokinetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Michael Neely
- Department of Pediatrics, Keck School of Medicine, University of Southern California, and Division of Infectious Diseases, Children's Hospital Los Angeles, Los Angeles, California, Los Angeles, CA
| | - Indy Sandaradura
- Marie Bashir Institute of Infectious Diseases and Biosecurity, The University of Sydney, Sydney, Australia
- Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
- Centre for Infectious Diseases and Microbiology, Westmead Hospital, Sydney, Australia
- Institute for Clinical Pathology and Medical Research, NSW Health Pathology, Sydney, Australia; and
| | - Deborah J E Marriott
- St Vincent's Clinical School, Faculty of Medicine, The University of New South Wales, Sydney, Australia
- Department of Clinical Microbiology and Infectious Diseases, St Vincent's Hospital, Sydney, Australia
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Abouelhassan YP, Nicolau D. Pharmacokinetic/Pharmacodynamic Optimization of Hospital-Acquired and Ventilator-Associated Pneumonia: Challenges and Strategies. Semin Respir Crit Care Med 2022; 43:175-182. [PMID: 35088402 DOI: 10.1055/s-0041-1742105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Hospital-acquired pneumonia (HAP) and ventilator-associated pneumonia (VAP) are correlated with high mortality rates worldwide. Thus, the administration of antibiotic therapy with appropriate dosing regimen is critical. An efficient antibiotic is needed to maintain an adequate concentration at the infection site, for a sufficient period of time, to achieve the best therapeutic outcome. It can, however, be challenging for antibiotics to penetrate the pulmonary system due to the complexity of its structure. Crossing the blood alveolar barrier is a difficult process determined by multiple factors that are either drug related or infection related. Thus, the understanding of pharmacokinetics/pharmacodynamics (PK/PD) of antibiotics identifies the optimum dosing regimens to achieve drug penetration into the epithelial lining fluid at adequate therapeutic concentrations. Critically ill patients in the ICU can express augmented renal clearance (ARC), characterized by enhanced renal function, or may have renal dysfunction necessitating supportive care such as continuous renal replacement therapy (CRRT). Both ARC and CRRT can alter drug elimination, thus affecting drug concentrations. PK of critically ill patients is less clear due to the multiple variabilities associated with their condition. Therefore, conventional dosing regimens often lead to therapeutic failure. Another major hurdle faced in optimizing treatment for HAP/VAP is the reduction of the in vitro potency. Therapeutic drug monitoring (TDM), if available, may allow health care providers to personalize treatment to maximize efficacy of the drug exposures while minimizing toxicity. TDM can be of significant importance in populations whom PK are less defined and for resistant infections to achieve the best therapeutic outcome.
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Affiliation(s)
- Yasmeen P Abouelhassan
- Center for Anti-Infective Research and Development, Hartford Hospital, Hartford, Connecticut
| | - David Nicolau
- Center for Anti-Infective Research and Development, Hartford Hospital, Hartford, Connecticut.,Division of Infectious Diseases, Hartford Hospital, Hartford, Connecticut
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13
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Huang G, Qiu Y, Liu T, Lu J. Comparison of vancomycin clearance between augmented renal clearance and normal renal function in critically ill infants: A population pharmacokinetics study. J Clin Pharmacol 2022; 62:863-872. [PMID: 35049078 DOI: 10.1002/jcph.2029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 01/16/2022] [Indexed: 11/07/2022]
Affiliation(s)
- Guang‐Ming Huang
- Department of Pharmacy The First Affiliated Hospital of Guangxi Medical University Nanning Guangxi Province People's Republic of China
| | - Yue Qiu
- Department of Pharmacy The First Affiliated Hospital of Guangxi Medical University Nanning Guangxi Province People's Republic of China
| | - Tao‐Tao Liu
- Department of Pharmacy The First Affiliated Hospital of Guangxi Medical University Nanning Guangxi Province People's Republic of China
| | - Jie‐Jiu Lu
- Department of Pharmacy The First Affiliated Hospital of Guangxi Medical University Nanning Guangxi Province People's Republic of China
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14
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Population Pharmacokinetic Modeling and Dose Optimization of Vancomycin in Chinese Patients with Augmented Renal Clearance. Antibiotics (Basel) 2021; 10:antibiotics10101238. [PMID: 34680818 PMCID: PMC8532702 DOI: 10.3390/antibiotics10101238] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 09/30/2021] [Accepted: 10/08/2021] [Indexed: 12/25/2022] Open
Abstract
Patients with augmented renal clearance (ARC) have been described as having low vancomycin concentration. However, the pharmacokinetic model that best describes vancomycin in patients with ARC has not been clarified. The purpose of this study is to determine the pharmacokinetic of vancomycin in Chinese adults and the recommend dosage for patients with different renal function, including patients with ARC. We retrospectively collected 424 vancomycin serum concentrations from 209 Chinese patients and performed a population pharmacokinetic model using NONMEM 7.4.4. The final model indicated that the clearance rate of vancomycin increased together with the creatinine clearance, and exhibited a nearly saturated curve at higher creatinine clearance. The estimated clearance of vancomycin was between 3.46 and 5.58 L/h in patients with ARC, with 5.58 being the maximum theoretical value. The central volume of distribution increased by more than three times in patients admitted to Intensive Care Unit. Monte Carlo simulations were conducted to explore the probability of reaching the target therapeutic range (24-h area under the curve: 400–650 mg·h/L, trough concentration: 10–20 mg/L) when various dose regimens were administered. The simulations indicated that dose should increase together with the creatinine clearance until 180 mL/min. These findings may contribute to improving the efficacy and safety of vancomycin in patients with ARC.
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