Literature DB >> 34911731

Controlled Study of Decision-Making Algorithms for Kidney Replacement Therapy Initiation in Acute Kidney Injury.

Yvelynne P Kelly1, Kavita Mistry2, Salman Ahmed3, Shimon Shaykevich2, Sonali Desai2,4, Stuart R Lipsitz2, David E Leaf3, Ernest I Mandel3, Emily Robinson3, Gearoid McMahon3, Peter G Czarnecki3, David M Charytan5, Sushrut S Waikar6, Mallika L Mendu3,4.   

Abstract

BACKGROUND AND OBJECTIVES: AKI requiring KRT is associated with high mortality and utilization. We evaluated the use of an AKI Standardized Clinical Assessment and Management Plan (SCAMP) on patient outcomes, including mortality, hospital length of stay, and intensive care unit length of stay. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We conducted a 12-month controlled study in the intensive care units of a large academic tertiary medical center. We alternated use of the AKI-SCAMP with use of a "sham" control form in 4- to 6-week blocks. The primary outcome was risk of inpatient mortality. Prespecified secondary outcomes included 30- and 60-day mortality, hospital length of stay, and intensive care unit length of stay. Generalized estimating equations were used to estimate the effect of the AKI-SCAMP on mortality and length of stay.
RESULTS: There were 122 patients in the AKI-SCAMP group and 102 patients in the control group. There was no significant difference in inpatient mortality associated with AKI-SCAMP use (41% versus 47% control). AKI-SCAMP use was associated with significantly reduced intensive care unit length of stay (mean, 8; 95% confidence interval, 8 to 9 days versus mean, 12; 95% confidence interval, 10 to 13 days; P<0.001) and hospital length of stay (mean, 25; 95% confidence interval, 22 to 29 days versus mean, 30; 95% confidence interval, 27 to 34 days; P=0.02). Patients in the AKI-SCAMP group were less likely to receive KRT in the context of physician-perceived treatment futility than those in the control group (2% versus 7%; P=0.003).
CONCLUSIONS: Use of the AKI-SCAMP tool for AKI KRT was not significantly associated with inpatient mortality, but was associated with reduced intensive care unit length of stay, hospital length of stay, and use of KRT in cases of physician-perceived treatment futility. CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER: Acute Kidney Injury Standardized Clinical Assessment and Management Plan for Renal Replacement Initiation, NCT03368183. PODCAST: This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2022_02_07_CJN02060221.mp3.
Copyright © 2022 by the American Society of Nephrology.

Entities:  

Keywords:  acute kidney injury; algorithms; biochemical phenomena; renal replacement therapy

Mesh:

Year:  2021        PMID: 34911731      PMCID: PMC8823944          DOI: 10.2215/CJN.02060221

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  23 in total

1.  Dynamic evolution of practice guidelines: analysis of deviations from assessment and management plans.

Authors:  Michael Farias; Kevin G Friedman; Andrew J Powell; Sarah D de Ferranti; Audrey C Marshall; David W Brown; Thomas J Kulik
Journal:  Pediatrics       Date:  2012-06-04       Impact factor: 7.124

2.  Acute kidney injury, length of stay, and costs in patients hospitalized in the intensive care unit.

Authors:  D M Vandijck; S Oeyen; J M Decruyenaere; L Annemans; E A Hoste
Journal:  Acta Clin Belg       Date:  2007       Impact factor: 1.264

3.  Performance of generalized estimating equations in practical situations.

Authors:  S R Lipsitz; G M Fitzmaurice; E J Orav; N M Laird
Journal:  Biometrics       Date:  1994-03       Impact factor: 2.571

4.  A Decision-Making Algorithm for Initiation and Discontinuation of RRT in Severe AKI.

Authors:  Mallika L Mendu; George R Ciociolo; Sarah R McLaughlin; Dionne A Graham; Roya Ghazinouri; Siddharth Parmar; Alissa Grossier; Rebecca Rosen; Karl R Laskowski; Leonardo V Riella; Emily S Robinson; David M Charytan; Joseph V Bonventre; Jeffrey O Greenberg; Sushrut S Waikar
Journal:  Clin J Am Soc Nephrol       Date:  2017-01-24       Impact factor: 8.237

5.  Model to predict mortality in critically ill adults with acute kidney injury.

Authors:  Sevag Demirjian; Glenn M Chertow; Jane Hongyuan Zhang; Theresa Z O'Connor; Joseph Vitale; Emil P Paganini; Paul M Palevsky
Journal:  Clin J Am Soc Nephrol       Date:  2011-09       Impact factor: 8.237

6.  Timing of Renal-Replacement Therapy in Patients with Acute Kidney Injury and Sepsis.

Authors:  Saber D Barbar; Raphaël Clere-Jehl; Abderrahmane Bourredjem; Romain Hernu; Florent Montini; Rémi Bruyère; Christine Lebert; Julien Bohé; Julio Badie; Jean-Pierre Eraldi; Jean-Philippe Rigaud; Bruno Levy; Shidasp Siami; Guillaume Louis; Lila Bouadma; Jean-Michel Constantin; Emmanuelle Mercier; Kada Klouche; Damien du Cheyron; Gaël Piton; Djillali Annane; Samir Jaber; Thierry van der Linden; Gilles Blasco; Jean-Paul Mira; Carole Schwebel; Loïc Chimot; Philippe Guiot; Mai-Anh Nay; Ferhat Meziani; Julie Helms; Claire Roger; Benjamin Louart; Remi Trusson; Auguste Dargent; Christine Binquet; Jean-Pierre Quenot
Journal:  N Engl J Med       Date:  2018-10-11       Impact factor: 91.245

Review 7.  Conflict of interest in clinical practice guideline development: a systematic review.

Authors:  Susan L Norris; Haley K Holmer; Lauren A Ogden; Brittany U Burda
Journal:  PLoS One       Date:  2011-10-19       Impact factor: 3.240

8.  Impact of Compliance with a Care Bundle on Acute Kidney Injury Outcomes: A Prospective Observational Study.

Authors:  Nitin V Kolhe; David Staples; Timothy Reilly; Daniel Merrison; Christopher W Mcintyre; Richard J Fluck; Nicholas M Selby; Maarten W Taal
Journal:  PLoS One       Date:  2015-07-10       Impact factor: 3.240

9.  Long-term survival and dialysis dependency following acute kidney injury in intensive care: extended follow-up of a randomized controlled trial.

Authors:  Martin Gallagher; Alan Cass; Rinaldo Bellomo; Simon Finfer; David Gattas; Joanne Lee; Serigne Lo; Shay McGuinness; John Myburgh; Rachael Parke; Dorrilyn Rajbhandari
Journal:  PLoS Med       Date:  2014-02-11       Impact factor: 11.069

10.  The ICE-AKI study: Impact analysis of a Clinical prediction rule and Electronic AKI alert in general medical patients.

Authors:  Luke E Hodgson; Paul J Roderick; Richard M Venn; Guiqing L Yao; Borislav D Dimitrov; Lui G Forni
Journal:  PLoS One       Date:  2018-08-08       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.