Observational studyCritical care (London, England)2017
Role of renal function in risk assessment of target non-attainment after standard dosing of meropenem in critically ill patients: a prospective observational study.
Observational study in Critical care (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01793012 (Drug Monitoring of Antibiotics in Critical Care Patients), which is not on this map. Cited by 43 papers.
What it found
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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.
Drug Monitoring of Antibiotics in Critical Care Patients
Who cites it
43 citing papers in PubMed.
- Comparative Plasma and Interstitial Tissue Fluid Pharmacokinetics of Meropenem Demonstrate the Need for Increasing Dose and Infusion Duration in Obese and Non-obese Patients.Clinical pharmacokinetics · 2022Trial
- Article
- Correlation Between Renal Biomarkers, Glomerular Filtration Rate, and Meropenem Clearance in Pediatric Septic Shock.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026Article
- Can Model-Informed Precision Dosing of Beta-Lactams in Critical Care Improve Clinical Outcomes?Chemotherapy · 2026Review
- PopPK and PBPK Models Guide Meropenem Dosing in Critically Ill Children with Augmented Renal Clearance.Pharmaceutics · 2025Article
- Model-informed identification of optimised dosing strategies for meropenem in critically ill patients receiving SLEDD: an observational study.Infection · 2025Observational
- Variability in Meropenem Distribution and Clearance in Children with Sepsis: Population-Based Pharmacokinetics with Assessment of Renal Biomarkers.Clinical pharmacokinetics · 2025Article
- Impact of hemoadsorption with CytoSorb® on meropenem and piperacillin exposure in critically ill patients in a post-CKRT setup: a single-center, retrospective data analysis.Intensive care medicine experimental · 2025Article
- Therapeutic drug monitoring (TDM) of β-lactam/β-lactamase inhibitor (BL/BLI) drug combinations: insights from a pharmacometric simulation study.The Journal of antimicrobial chemotherapy · 2025Article
- Population Pharmacokinetics of Prolonged Infusion for Meropenem: Tailoring Dosing Recommendations for Chinese Critically Ill Patients on Continuous Renal Replacement Therapy with Consideration for Renal Function.Drug design, development and therapy · 2025Article
- Impact of renal-adjusted ceftazidime/avibactam in patients with KPC-producingJAC-antimicrobial resistance · 2024Article
- Risk Factors Associated with Antibiotic Exposure Variability in Critically Ill Patients: A Systematic Review.Antibiotics (Basel, Switzerland) · 2024Review
- Optimization of meropenem continuous infusion based on Monte Carlo simulation integrating with degradation study.PloS one · 2024Article
- Impact of Various Estimated Glomerular Filtration Rate Equations on the Pharmacokinetics of Meropenem in Critically Ill Adults.Critical care explorations · 2023Article
- Adequacy of cefepime concentrations in the early phase of critical illness: A case for precision pharmacotherapy.Pharmacotherapy · 2023Article
- In silico evaluation of a beta-lactam dosing guideline among adults with serious infections.Pharmacotherapy · 2023Article
- Meropenem PK/PD Variability and Renal Function: "We Go Together".Pharmaceutics · 2023Article
- Meropenem Pharmacokinetics and Target Attainment in Critically Ill Patients.Infection and drug resistance · 2023Article
- Developmental Population Pharmacokinetics-Pharmacodynamics of Meropenem in Chinese Neonates and Young Infants: Dosing Recommendations for Late-Onset Sepsis.Children (Basel, Switzerland) · 2022Article
- [Therapeutic drug monitoring and pharmacokinetic models as a strategy for rational antibiotic therapy in intensive care patients].Die Anaesthesiologie · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSevere bacterial infections remain a major challenge in intensive care units because of their high prevalence and mortality. Adequate antibiotic exposure has been associated with clinical success in critically ill patients. The objective of this study was to investigate the target attainment of standard meropenem dosing in a heterogeneous critically ill population, to quantify the impact of the full renal function spectrum on meropenem exposure and target attainment, and ultimately to translate the findings into a tool for practical application.
methodsA prospective observational single-centre study was performed with critically ill patients with severe infections receiving standard dosing of meropenem. Serial blood samples were drawn over 4 study days to determine meropenem serum concentrations. Renal function was assessed by creatinine clearance according to the Cockcroft and Gault equation (CLCR
resultsLarge inter- and intra-patient variability in meropenem concentrations was observed in the critically ill population (n = 48). Attainment of the target 100%T
conclusionsThe investigated standard meropenem dosing regimen appeared to result in insufficient meropenem exposure in a considerable fraction of critically ill patients. An easy- and free-to-use tool (the MeroRisk Calculator) for assessing the risk of target non-attainment for a given renal function and MIC value was developed.
trial registrationClinicaltrials.gov, NCT01793012 . Registered on 24 January 2013.
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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.