Literature DB >> 16317811

Design of the VA/NIH Acute Renal Failure Trial Network (ATN) Study: intensive versus conventional renal support in acute renal failure.

Paul M Palevsky1, Theresa O'Connor, Jane Hongyuan Zhang, Robert A Star, Mark W Smith.   

Abstract

The optimal management of renal replacement therapy (RRT) in acute renal failure (ARF) is uncertain. The VA/NIH Acute Renal Failure Trail Network Study (ATN Study) tests the hypothesis that a strategy of intensive RRT will decrease 60-day all-cause mortality in critically ill patients with ARF. Dose separation between the two treatment arms is achieved by increasing the frequency of intermittent hemodialysis (IHD) and sustained low efficiency dialysis (SLED) treatments from three times per week to six times per week, and by increasing continuous venovenous hemodiafiltration (CVVHDF) effluent volume from 20 mL/kg/hr to 35 mL/kg/hr. In both treatment arms, subjects convert between IHD and CVVHDF or SLED as hemodynamic status changes over time. This strategy attempts to replicate the conversion between modalities of RRT that occurs in clinical practice. However, in order to implement this strategy, flexible criteria needed to be developed to provide a balance between the need for uniformity of treatment between groups and practitioner discretion regarding modality of RRT to maintain patient safety. In order to address safety and ethical issues similar to those raised by the Office of Human Research Protections in its review of the ARDS Network studies, a survey of practitioner practices was performed and observational data on the management of RRT in comparable critically ill patients with ARF managed outside of the research context is being collected prospectively. These data will help inform the study's DSMB and site IRB's of the relationship between the study's treatment arms and concurrent clinical practice.

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Year:  2005        PMID: 16317811      PMCID: PMC1351394          DOI: 10.1191/1740774505cn116oa

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  32 in total

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Journal:  Nephrol Dial Transplant       Date:  1996-08       Impact factor: 5.992

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Journal:  Biometrics       Date:  1988-03       Impact factor: 2.571

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Authors:  F Liaño; J Pascual
Journal:  Kidney Int       Date:  1996-09       Impact factor: 10.612

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Journal:  Clin Nephrol       Date:  1996-09       Impact factor: 0.975

7.  Use of APACHE II classification to evaluate outcome and response to therapy in acute renal failure patients in a surgical intensive care unit.

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Journal:  Ren Fail       Date:  1995-11       Impact factor: 2.606

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Journal:  Ren Fail       Date:  1997-05       Impact factor: 2.606

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Authors:  G M Chertow; C L Christiansen; P D Cleary; C Munro; J M Lazarus
Journal:  Arch Intern Med       Date:  1995-07-24
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  26 in total

1.  Predictors of health utility among 60-day survivors of acute kidney injury in the Veterans Affairs/National Institutes of Health Acute Renal Failure Trial Network Study.

Authors:  Kirsten L Johansen; Mark W Smith; Mark L Unruh; Andrew M Siroka; Theresa Z O'Connor; Paul M Palevsky
Journal:  Clin J Am Soc Nephrol       Date:  2010-05-27       Impact factor: 8.237

2.  Effect of ionized serum calcium on outcomes in acute kidney injury needing renal replacement therapy: secondary analysis of the acute renal failure trial network study.

Authors:  Farsad Afshinnia; Karen Belanger; Paul M Palevsky; Eric W Young
Journal:  Ren Fail       Date:  2013-09-02       Impact factor: 2.606

3.  Targeting protein translation to prevent septic kidney injury.

Authors:  Sarah C Huen
Journal:  J Clin Invest       Date:  2018-12-03       Impact factor: 14.808

4.  Health-related quality of life as a predictor of mortality among survivors of AKI.

Authors:  Vilija R Joyce; Mark W Smith; Kirsten L Johansen; Mark L Unruh; Andrew M Siroka; Theresa Z O'Connor; Paul M Palevsky
Journal:  Clin J Am Soc Nephrol       Date:  2012-05-17       Impact factor: 8.237

5.  Effects of Baseline Thrombocytopenia and Platelet Decrease Following Renal Replacement Therapy Initiation in Patients With Severe Acute Kidney Injury.

Authors:  Benjamin R Griffin; Anna Jovanovich; Zhiying You; Paul Palevsky; Sarah Faubel; Diana Jalal
Journal:  Crit Care Med       Date:  2019-04       Impact factor: 7.598

6.  The risk of acute renal failure in patients with chronic kidney disease.

Authors:  C Y Hsu; J D Ordoñez; G M Chertow; D Fan; C E McCulloch; A S Go
Journal:  Kidney Int       Date:  2008-04-02       Impact factor: 10.612

7.  Lessons for successful study enrollment from the Veterans Affairs/National Institutes of Health Acute Renal Failure Trial Network Study.

Authors:  Susan T Crowley; Glenn M Chertow; Joseph Vitale; Theresa O'Connor; Jane Zhang; Roland M H Schein; Devasmita Choudhury; Kevin Finkel; Anitha Vijayan; Emil Paganini; Paul M Palevsky
Journal:  Clin J Am Soc Nephrol       Date:  2008-04-02       Impact factor: 8.237

8.  Comparison of Urine Output among Patients Treated with More Intensive Versus Less Intensive RRT: Results from the Acute Renal Failure Trial Network Study.

Authors:  Finnian R Mc Causland; Josephine Asafu-Adjei; Rebecca A Betensky; Paul M Palevsky; Sushrut S Waikar
Journal:  Clin J Am Soc Nephrol       Date:  2016-07-22       Impact factor: 8.237

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Authors:  Liza Dawson; Deborah A Zarin; Ezekiel J Emanuel; Lawrence M Friedman; Bimal Chaudhari; Steven N Goodman
Journal:  PLoS Med       Date:  2009-09-29       Impact factor: 11.069

10.  Intensity of renal replacement therapy in acute kidney injury: perspective from within the Acute Renal Failure Trial Network Study.

Authors:  Paul M Palevsky; Theresa Z O'Connor; Glenn M Chertow; Susan T Crowley; Jane Hongyuan Zhang; John A Kellum
Journal:  Crit Care       Date:  2009-08-11       Impact factor: 9.097

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