Observational studyPloS one2018
Outcomes in patients with infections and augmented renal clearance: A multicenter retrospective study.
Observational study in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Machine learning-based risk prediction of 28-day mortality for sepsis patients with augmented renal clearance.Scientific reports · 2026Article
- Renal resistive index for the prediction of augmented renal clearance: a prospective observational study.Journal of ultrasound · 2025Observational
- Machine learning for the prediction of augmented renal clearance (ARC) in patients with sepsis in critical care units.Scientific reports · 2025Article
- Development and validation of the prediction score for augmented renal clearance in critically Ill Japanese adults.Journal of pharmaceutical health care and sciences · 2024Article
- Relationship of imipenem therapeutic drug monitoring to clinical outcomes in critically ill patients: a retrospective cohort study.Naunyn-Schmiedeberg's archives of pharmacology · 2024Article
- Clinical characteristics and early identification of augmented renal clearance in PICU patients with severe sepsis associated with MRSA infection.Frontiers in pediatrics · 2024Article
- Clinical implications of augmented renal clearance after unrelated single cord blood transplantation in adults.International journal of hematology · 2023Article
- External Validation of the Augmented Renal Clearance Predictor in Critically Ill COVID-19 Patients.Antibiotics (Basel, Switzerland) · 2023Article
- Onset timing and duration of augmented renal clearance in a mixed intensive care unit.Journal of intensive care · 2023Article
- Risk factors associated with augmented renal clearance in a mixed intensive care unit population: a retrospective study.International journal of clinical pharmacy · 2022Observational
- Augmented renal clearance in the ICU: estimation, incidence, risk factors and consequences-a retrospective observational study.Annals of intensive care · 2022Article
- Prevalence and Risk Factors of Augmented Renal Clearance: A Systematic Review and Meta-Analysis.Pharmaceutics · 2022Review
- Augmented renal clearance: a retrospective, cohort study of urinary creatinine clearance in critically ill patients in the United Kingdom.The Journal of international medical research · 2021Observational
- Pharmacists' Knowledge About the Impact of Augmented Renal Clearance on Antimicrobial Dosing in Critically Ill Patients: A Cross-Sectional Study.Infectious diseases and therapy · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recently, augmented renal clearance (ARC), which accelerates glomerular filtration of renally eliminated drugs thereby reducing the systemic exposure to these drugs, has started to receive attention. However, the clinical features associated with ARC are still not well understood, especially in the Japanese population. This study aimed to evaluate the clinical characteristics and outcomes of ARC patients with infections in Japanese intensive care unit (ICU) settings. We conducted a retrospective observational study from April 2013 to May 2017 at two tertiary level ICUs in Japan, which included 280 patients with infections (median age 74 years; interquartile range, 64-83 years). We evaluated the estimated glomerular filtration rate (eGFR) at ICU admission using the Japanese equation, and ARC was defined as eGFR >130 mL/min/1.73 m2. Multivariable logistic regression analysis was performed to identify the independent risk factors for ARC and to determine if it was a predictor of ICU mortality. In addition, a receiver operating curve (ROC) analysis was performed, and the area under the ROC (AUROC) was determined to examine the significant variables that predict ARC. In total, 19 patients (6.8%) manifested ARC. Multivariable logistic regression analysis identified younger age as an independent risk factor for ARC (odds ratio [OR], 0.94; 95% confidence interval [CI], 0.91-0.96). However, ARC was not found to be a predictor of ICU mortality (OR, 0.57; 95% CI, 0.11-2.92). In addition, the AUROC of age was 0.79 (95% CI, 0.68-0.91), and the optimal cut off age for ARC was ≤63 years (sensitivity, 68.4%; specificity, 78.9%). The incidence of ARC was, therefore, low among patients with infections in the Japanese ICUs. Although younger age was associated with the incidence of ARC, it was not an independent predictor of ICU mortality.
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