ArticleClinical pharmacokinetics2008
Population pharmacokinetics of meropenem in critically ill patients undergoing continuous renal replacement therapy.
Article in Clinical pharmacokinetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 68 citations in OpenAlex.
- Extracorporeal Blood Purification with the oXiris® Filter for Patients with Sepsis and Hyperinflammatory Conditions: The Asia-Pacific oXiris Expert Meeting 2024 Consensus Statements.Blood purification · 2025Guideline
- Population Pharmacokinetic Meta-Analysis and Dosing Recommendation for Meropenem in Critically Ill Patients Receiving Continuous Renal Replacement Therapy.Antimicrobial agents and chemotherapy · 2022Pooled it
- Optimization of the treatment with beta-lactam antibiotics in critically ill patients-guidelines from the French Society of Pharmacology and Therapeutics (Société Française de Pharmacologie et Thérapeutique-SFPT) and the French Society of Anaesthesia and Intensive Care Medicine (Société Française d'Anesthésie et Réanimation-SFAR).Critical care (London, England) · 2019Guideline
- Pharmacokinetic assessment in patients receiving continuous RRT: perspectives from the Kidney Health Initiative.Clinical journal of the American Society of Nephrology : CJASN · 2015Guideline
- A multicenter study on the effect of continuous hemodiafiltration intensity on antibiotic pharmacokinetics.Critical care (London, England) · 2015Trial
- β-Lactam/β-Lactamase Inhibitor Combinations in Sepsis-Associated Acute Kidney Injury and Renal Replacement Therapy.Antibiotics (Basel, Switzerland) · 2025Review
- Population pharmacokinetics and pharmacodynamics of meropenem in critically ill patients with renal impairment or on continuous renal replacement therapy.European journal of clinical pharmacology · 2025Article
- Meropenem and piperacillin/tazobactam optimised dosing regimens for critically ill patients receiving renal replacement therapy.Intensive care medicine · 2025Observational
- The relation between inflammatory biomarkers and drug pharmacokinetics in the critically ill patients: a scoping review.Critical care (London, England) · 2024Article
- Risk Factors Associated with Antibiotic Exposure Variability in Critically Ill Patients: A Systematic Review.Antibiotics (Basel, Switzerland) · 2024Review
- Population pharmacokinetics of meropenem in critically ill patients.Open medicine (Warsaw, Poland) · 2024Article
- Meropenem Model-Informed Precision Dosing in the Treatment of Critically Ill Patients: Can We Use It?Antibiotics (Basel, Switzerland) · 2023Article
- Meropenem Population Pharmacokinetics and Dosing Regimen Optimization in Critically Ill Children Receiving Continuous Renal Replacement Therapy.Clinical pharmacokinetics · 2022Article
- Meropenem pharmacokinetics in critically ill patients with or without burn treated with or without continuous veno-venous haemofiltration.British journal of clinical pharmacology · 2022Article
- Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review.Clinical pharmacokinetics · 2022Review
- Article
- Combination of Pharmacokinetic and Pathogen Susceptibility Information To Optimize Meropenem Treatment of Gram-Negative Infections in Critically Ill Patients.Antimicrobial agents and chemotherapy · 2022Article
- Population Pharmacokinetics of Meropenem in Critically Ill Korean Patients and Effects of Extracorporeal Membrane Oxygenation.Pharmaceutics · 2021Article
- Population Pharmacokinetics and Pharmacodynamics of Meropenem in Critically Ill Patients: How to Achieve Best Dosage Regimen According to the Clinical Situation.European journal of drug metabolism and pharmacokinetics · 2021Article
- Optimal Dosing of Meropenem in a Small Cohort of Critically Ill Children Receiving Continuous Renal Replacement Therapy.Journal of clinical pharmacology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveMeropenem is a carbapenem antibacterial frequently prescribed for the treatment of severe infections in critically ill patients, including those receiving continuous renal replacement therapy (CRRT). The objective of this study was to develop a population pharmacokinetic model of meropenem in critically ill patients undergoing CRRT. PATIENTS AND
methodsA prospective, open-label study was conducted in 20 patients undergoing CRRT. Blood and dialysate-ultrafiltrate samples were obtained after administration of 500 mg, 1000 mg or 2000 mg of meropenem every 6 or 8 hours by intravenous infusion. The data were analysed under the population approach using NONMEM version V software. Age, bodyweight, dialysate plus ultrafiltrate flow, creatinine clearance (CL(CR)), the unbound drug fraction in plasma, the type of membrane, CRRT and the patient type (whether septic or severely polytraumatized) were the covariates studied.
resultsThe pharmacokinetics of meropenem in plasma were best described by a two-compartment model. CL(CR) was found to have a significant correlation with the apparent total clearance (CL) of the drug during the development of the covariate model. However, the influence of CL(CR) on CL differed between septic and polytraumatized patients (CL = 6.63 + 0.064 x CL(CR) for septic patients and CL = 6.63 + 0.72 x CL(CR) for polytraumatized patients). The volume of distribution of the central compartment (V(1)) was also dependent on the patient type, with values of 15.7 L for septic patients and 69.5 L for polytraumatized patients. The population clearance was 15 L/h, and the population apparent volume of distribution of the peripheral compartment was 19.8 L. From the base to the final model, the interindividual variabilities in CL and the V(1) were significantly reduced. When computer simulations were carried out and efficacy indexes were calculated, it was shown that polytraumatized patients and septic patients with conserved renal function may not achieve adequate efficacy indexes to deal with specific infections. Continuous infusion of meropenem is recommended for critically septic patients and polytraumatized patients when pathogens with a minimum inhibitory concentration (MIC) of > or =4 mg/L are isolated. Infections caused by pathogens with an MIC of > or =8 mg/L should not be treated with meropenem in polytraumatized patients without or with moderate renal failure because excessive doses of meropenem would be necessary.
conclusionA population pharmacokinetic model of meropenem in intensive care patients undergoing CRRT was developed and validated. CL(CR) and the patient type (whether septic or polytraumatized) were identified as significant covariates. The population pharmacokinetic model developed in the present study has been employed to recommend continuous infusion protocols in patients treated with CRRT.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.