Literature DB >> 32428906

Predictors of Augmented Renal Clearance in a Heterogeneous ICU Population as Defined by Creatinine and Cystatin C.

Andrea M Nei1, Kianoush B Kashani2,3, Ross Dierkhising4, Erin F Barreto5,6.   

Abstract

INTRODUCTION: The incidence of augmented renal clearance (ARC) in the intensive care unit (ICU) is highly variable, and identification of these patients remains challenging.
OBJECTIVE: The 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.
METHODS: This 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.
RESULTS: Among 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.
CONCLUSION: The 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.
© 2020 S. Karger AG, Basel.

Entities:  

Keywords:  Augmented renal clearance; Biomarker; Critical care; Cystatin C; Nephrology

Year:  2020        PMID: 32428906      PMCID: PMC7371523          DOI: 10.1159/000507255

Source DB:  PubMed          Journal:  Nephron        ISSN: 1660-8151            Impact factor:   2.847


  41 in total

Review 1.  Augmented renal clearance: implications for antibacterial dosing in the critically ill.

Authors:  Andrew A Udy; Jason A Roberts; Robert J Boots; David L Paterson; Jeffrey Lipman
Journal:  Clin Pharmacokinet       Date:  2010       Impact factor: 6.447

Review 2.  Implications of augmented renal clearance in critically ill patients.

Authors:  Andrew A Udy; Jason A Roberts; Jeffrey Lipman
Journal:  Nat Rev Nephrol       Date:  2011-07-19       Impact factor: 28.314

3.  Regularization Paths for Generalized Linear Models via Coordinate Descent.

Authors:  Jerome Friedman; Trevor Hastie; Rob Tibshirani
Journal:  J Stat Softw       Date:  2010       Impact factor: 6.440

4.  Augmented renal clearance, low β-lactam concentrations and clinical outcomes in the critically ill: an observational prospective cohort study.

Authors:  Angela Huttner; Elodie Von Dach; Adriana Renzoni; Benedikt D Huttner; Mathieu Affaticati; Leonardo Pagani; Yousef Daali; Jerôme Pugin; Abderrahim Karmime; Marc Fathi; Daniel Lew; Stephan Harbarth
Journal:  Int J Antimicrob Agents       Date:  2015-01-19       Impact factor: 5.283

5.  Decreased rate of creatinine production in patients with hepatic disease: implications for estimation of creatinine clearance.

Authors:  D M Cocchetto; C Tschanz; T D Bjornsson
Journal:  Ther Drug Monit       Date:  1983-06       Impact factor: 3.681

Review 6.  A Comparison of GFR estimating formulae based upon s-cystatin C and s-creatinine and a combination of the two.

Authors:  Martin Tidman; Per Sjöström; Ian Jones
Journal:  Nephrol Dial Transplant       Date:  2007-10-02       Impact factor: 5.992

7.  Performance of cystatin C- and creatinine-based estimated glomerular filtration rate equations depends on patient characteristics.

Authors:  Jeffrey W Meeusen; Andrew D Rule; Nikolay Voskoboev; Nikola A Baumann; John C Lieske
Journal:  Clin Chem       Date:  2015-08-03       Impact factor: 8.327

8.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

Review 9.  Acute renal problems in the critically ill cancer patient.

Authors:  Norbert Lameire; Wim Van Biesen; Raymond Vanholder
Journal:  Curr Opin Crit Care       Date:  2008-12       Impact factor: 3.687

10.  Increased creatinine clearance in polytrauma patients with normal serum creatinine: a retrospective observational study.

Authors:  Vincent Minville; Karim Asehnoune; Stephanie Ruiz; Audrey Breden; Bernard Georges; Thierry Seguin; Ivan Tack; Acil Jaafar; Sylvie Saivin; Olivier Fourcade; Kamran Samii; Jean Marie Conil
Journal:  Crit Care       Date:  2011-02-03       Impact factor: 9.097

View more
  6 in total

1.  Glomerular filtration rate correlation and agreement between common predictive equations and standard 24-hour urinary creatinine clearance in medical critically ill patients.

Authors:  Suwikran Wongpraphairot; Rungsun Bhurayanontachai; Attamon Thongrueang
Journal:  PeerJ       Date:  2022-05-31       Impact factor: 3.061

2.  Augmented Renal Clearance in a Case of Sepsis Leading to Vancomycin Failure Despite Increasing Dose As per the Estimated Glomerular Filtration Rate.

Authors:  Rama Kanth Pata; Chhabilal Bastola; Nway Nway; Meet J Patel; Samaj Adhikari
Journal:  Cureus       Date:  2021-03-30

3.  Augmented Renal Clearance in COVID-19.

Authors:  Ahmet Murt; Mevlut Tamer Dincer; Cebrail Karaca
Journal:  Nephron       Date:  2021-03-30       Impact factor: 2.847

Review 4.  Prevalence and Risk Factors of Augmented Renal Clearance: A Systematic Review and Meta-Analysis.

Authors:  Fatma Hefny; Anna Stuart; Janice Y Kung; Sherif Hanafy Mahmoud
Journal:  Pharmaceutics       Date:  2022-02-19       Impact factor: 6.321

Review 5.  Augmented Renal Clearance in Severe Infections-An Important Consideration in Vancomycin Dosing: A Narrative Review.

Authors:  Qile Xiao; Hainan Zhang; Xiaomei Wu; Jian Qu; Lixia Qin; Chunyu Wang
Journal:  Front Pharmacol       Date:  2022-03-21       Impact factor: 5.810

Review 6.  Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review.

Authors:  Maria Sanz Codina; Markus Zeitlinger
Journal:  Clin Pharmacokinet       Date:  2022-02-25       Impact factor: 5.577

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.