ArticleNephron2020
Predictors of Augmented Renal Clearance in a Heterogeneous ICU Population as Defined by Creatinine and Cystatin C.
Article in Nephron, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed, 26 citations in OpenAlex.
- Development and validation of the creatinine clearance predictor machine learning models in critically ill adults.Critical care (London, England) · 2023Trial
- Augmented renal clearance: from pathophysiological mechanisms to clinical implications and research perspectives.Renal failure · 2026Review
- Sepsis-Specific Risk Factors for Augmented Renal Clearance (ARC) and the Effect of Inflammation on Duration of ARC in Patients with Sepsis: A Single-Center Retrospective Cohort Study.Journal of clinical medicine · 2026Article
- Pharmacotherapy variability and precision medicine in neurocritical care.Frontiers in neurology · 2025Review
- Augmented renal clearance in neurocritical patients: An epidemiological investigation and risk-factor analysis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024Article
- Clinical characteristics and early identification of augmented renal clearance in PICU patients with severe sepsis associated with MRSA infection.Frontiers in pediatrics · 2024Article
- External Validation of the Augmented Renal Clearance Predictor in Critically Ill COVID-19 Patients.Antibiotics (Basel, Switzerland) · 2023Article
- Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review.Clinical pharmacokinetics · 2022Review
- Prevalence and Risk Factors of Augmented Renal Clearance: A Systematic Review and Meta-Analysis.Pharmaceutics · 2022Review
- Article
- Augmented Renal Clearance in Severe Infections-An Important Consideration in Vancomycin Dosing: A Narrative Review.Frontiers in pharmacology · 2022Review
- Late augmented renal clearance in patients with COVID-19 in the intensive care unit. A prospective observational study.Journal of critical care · 2021Article
- Article
- Augmented Renal Clearance: What Have We Known and What Will We Do?Frontiers in pharmacology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
introductionThe incidence of augmented renal clearance (ARC) in the intensive care unit (ICU) is highly variable, and identification of these patients remains challenging.
objectiveThe objective of this study was to define the incidence of ARC in a cohort of critically ill adults, using serum Cr and cystatin C, and to identify factors associated with its development.
methodsThis is a retrospective cohort study of critically ill patients without stage 2 or 3 acute kidney injury with both serum Cr and cystatin C available. The incidence of ARC was defined as a Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI)Cr-cystatin C-estimated glomerular filtration rate >130 mL/min. A multivariable logistic regression model using a penalized Lasso method was fit to identify independent predictors of ARC.
resultsAmong the 368 patients included in the study, indication for ICU admission was nonoperative in 55% of patients, and 9% of patients were admitted for major trauma. The overall incidence of ARC was low at 4.1%. In a multivariable logistic regression model, Charlson comorbidity index, major trauma, intracerebral hemorrhage, age, and Sequential Organ Failure Assessment score were found to predict ARC.
conclusionThe incidence of ARC in this study was low, but prediction models identified several factors for early identification of patients with risk factors for or who develop ARC, particularly in a cohort with a low baseline risk of ARC. These factors could be used to help identify patients who may develop ARC.
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.