Literature DB >> 35372977

The Impact of Outpatient Laboratory Alerting Mechanisms in Patients with AKI.

Nicole V Tolan1,2, Salman Ahmed3, Tolumofe Terebo1,4, Zain M Virk2, Athena K Petrides1,2, Jaime R Ransohoff5, Christiana A Demetriou6,7, Yvelynne P Kelly8, Stacy E F Melanson1,2, Mallika L Mendu2,4.   

Abstract

Background: AKI is an abrupt decrease in kidney function associated with significant morbidity and mortality. Electronic notifications of AKI have been utilized in patients who are hospitalized, but their efficacy in the outpatient setting is unclear.
Methods: We evaluated the effect of two outpatient interventions: an automated comment on increasing creatinine results (intervention I; 6 months; n=159) along with an email to the provider (intervention II; 3 months; n=105), compared with a control (baseline; 6 months; n=176). A comment was generated if a patient's creatinine increased by >0.5 mg/dl (previous creatinine ≤2.0 mg/dl) or by 50% (previous creatinine >2.0 mg/dl) within 180 days. Process measures included documentation of AKI and clinical actions. Clinical outcomes were defined as recovery from AKI within 7 days, prolonged AKI from 8 to 89 days, and progression to CKD with in 120 days.
Results: Providers were more likely to document AKI in interventions I (P=0.004; OR, 2.80; 95% CI, 1.38 to 5.67) and II (P=0.01; OR, 2.66; 95% CI, 1.21 to 5.81). Providers were also more likely to discontinue nephrotoxins in intervention II (P<0.001; OR, 4.88; 95% CI, 2.27 to 10.50). The median time to follow-up creatinine trended shorter among patients with AKI documented (21 versus 42 days; P=0.11). There were no significant differences in clinical outcomes. Conclusions: An automated comment was associated with improved documented recognition of AKI and the additive intervention of an email alert was associated with increased discontinuation of nephrotoxins, but neither improved clinical outcomes. Translation of these findings into improved outcomes may require corresponding standardization of clinical practice protocols for managing AKI.
Copyright © 2021 by the American Society of Nephrology.

Entities:  

Keywords:  acute kidney injury; acute kidney injury and ICU nephrology; creatinine; documentation; laboratory alerts; nephrotoxins; outcomes; outpatients

Mesh:

Substances:

Year:  2021        PMID: 35372977      PMCID: PMC8785781          DOI: 10.34067/KID.0003312021

Source DB:  PubMed          Journal:  Kidney360        ISSN: 2641-7650


  24 in total

1.  Automated, electronic alerts for acute kidney injury: a single-blind, parallel-group, randomised controlled trial.

Authors:  F Perry Wilson; Michael Shashaty; Jeffrey Testani; Iram Aqeel; Yuliya Borovskiy; Susan S Ellenberg; Harold I Feldman; Hilda Fernandez; Yevgeniy Gitelman; Jennie Lin; Dan Negoianu; Chirag R Parikh; Peter P Reese; Richard Urbani; Barry Fuchs
Journal:  Lancet       Date:  2015-02-26       Impact factor: 79.321

2.  AACC Guidance Document on Laboratory Investigation of Acute Kidney Injury.

Authors:  Joe M El-Khoury; Melanie P Hoenig; Graham R D Jones; Edmund J Lamb; Chirag R Parikh; Nicole V Tolan; F Perry Wilson
Journal:  J Appl Lab Med       Date:  2021-05-11

3.  False-Positive Rate of AKI Using Consensus Creatinine-Based Criteria.

Authors:  Jennie Lin; Hilda Fernandez; Michael G S Shashaty; Dan Negoianu; Jeffrey M Testani; Jeffrey S Berns; Chirag R Parikh; F Perry Wilson
Journal:  Clin J Am Soc Nephrol       Date:  2015-09-03       Impact factor: 8.237

4.  Incidence and mortality of acute renal failure in Medicare beneficiaries, 1992 to 2001.

Authors:  Jay L Xue; Frank Daniels; Robert A Star; Paul L Kimmel; Paul W Eggers; Bruce A Molitoris; Jonathan Himmelfarb; Allan J Collins
Journal:  J Am Soc Nephrol       Date:  2006-02-22       Impact factor: 10.121

Review 5.  The incidence and prognostic significance of acute kidney injury.

Authors:  Sushrut S Waikar; Kathleen D Liu; Glenn M Chertow
Journal:  Curr Opin Nephrol Hypertens       Date:  2007-05       Impact factor: 2.894

6.  Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study.

Authors:  Peter J Embi; Anthony C Leonard
Journal:  J Am Med Inform Assoc       Date:  2012-04-25       Impact factor: 4.497

7.  Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury.

Authors:  Ravindra L Mehta; John A Kellum; Sudhir V Shah; Bruce A Molitoris; Claudio Ronco; David G Warnock; Adeera Levin
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

Review 8.  Applications for detection of acute kidney injury using electronic medical records and clinical information systems: workgroup statements from the 15(th) ADQI Consensus Conference.

Authors:  Matthew T James; Charles E Hobson; Michael Darmon; Sumit Mohan; Darren Hudson; Stuart L Goldstein; Claudio Ronco; John A Kellum; Sean M Bagshaw
Journal:  Can J Kidney Health Dis       Date:  2016-02-26

9.  Impact of introducing electronic acute kidney injury alerts in primary care.

Authors:  Oshorenua Aiyegbusi; Miles D Witham; Michelle Lim; Graham Gauld; Samira Bell
Journal:  Clin Kidney J       Date:  2018-10-03

Review 10.  The growth of acute kidney injury: a rising tide or just closer attention to detail?

Authors:  Edward D Siew; Andrew Davenport
Journal:  Kidney Int       Date:  2014-09-17       Impact factor: 10.612

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  1 in total

1.  Alerting to acute kidney injury - Challenges, benefits, and strategies.

Authors:  Josko Ivica; Geetha Sanmugalingham; Rajeevan Selvaratnam
Journal:  Pract Lab Med       Date:  2022-04-02
  1 in total

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