Literature DB >> 24141395

Sniffing out acute kidney injury in the ICU: do we have the tools?

Kianoush Kashani1, Vitaly Herasevich.   

Abstract

PURPOSE OF REVIEW: Acute kidney injury (AKI) is one of the most common complications of critical illnesses, and early detection of AKI can improve its outcome. Using advanced electronic surveillance tools has attracted attention in recent years. RECENT
FINDINGS: It is not a secret that information overload in clinical practice, particularly those that are admitted to ICUs, can decrease the ability of practitioners to identify changes in patients' status in a timely manner. On the contrary, knowing the impact of an early and accurate diagnosis of syndromes, such as AKI, on patients' outcomes makes the use of electronic syndromic surveillance (ESS) tools a mandate. In recent years, a number of such tools for early detection of AKI have been developed with variable sensitivity and specificity. Although the impact of using these tools on patients' outcomes is unclear, the time to the appropriate processes required for the care of AKI has been successfully shortened by the use of these devices.
SUMMARY: ESS tools (sniffers) for AKI may allow improvement in patient processes of care or more efficient patient recruitment in AKI-related ICU studies.

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Year:  2013        PMID: 24141395     DOI: 10.1097/MCC.0000000000000024

Source DB:  PubMed          Journal:  Curr Opin Crit Care        ISSN: 1070-5295            Impact factor:   3.687


  10 in total

1.  Development of a Multicenter Ward-Based AKI Prediction Model.

Authors:  Jay L Koyner; Richa Adhikari; Dana P Edelson; Matthew M Churpek
Journal:  Clin J Am Soc Nephrol       Date:  2016-09-15       Impact factor: 8.237

2.  A trial of in-hospital, electronic alerts for acute kidney injury: design and rationale.

Authors:  Francis Perry Wilson; Peter P Reese; Michael Gs Shashaty; Susan S Ellenberg; Yevgeniy Gitelman; Amar D Bansal; Richard Urbani; Harold I Feldman; Barry Fuchs
Journal:  Clin Trials       Date:  2014-07-14       Impact factor: 2.486

3.  Risk Factors for Acute Kidney Injury in Hospitalized Non-Critically Ill Patients: A Population-Based Study.

Authors:  Sami Safadi; Musab S Hommos; Felicity T Enders; John C Lieske; Kianoush B Kashani
Journal:  Mayo Clin Proc       Date:  2020-01-31       Impact factor: 7.616

4.  No increase in the incidence of acute kidney injury in a population-based annual temporal trends epidemiology study.

Authors:  Kianoush Kashani; Min Shao; Guangxi Li; Amy W Williams; Andrew D Rule; Walter K Kremers; Michael Malinchoc; Ognjen Gajic; John C Lieske
Journal:  Kidney Int       Date:  2017-05-18       Impact factor: 10.612

Review 5.  Artificial intelligence-enabled decision support in nephrology.

Authors:  Tyler J Loftus; Benjamin Shickel; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Benjamin S Glicksberg; Jie Cao; Karandeep Singh; Lili Chan; Girish N Nadkarni; Azra Bihorac
Journal:  Nat Rev Nephrol       Date:  2022-04-22       Impact factor: 42.439

6.  Provider acceptance of an automated electronic alert for acute kidney injury.

Authors:  Janice Oh; Joshua R Bia; Muhamad Ubaid-Ullah; Jeffrey M Testani; Francis Perry Wilson
Journal:  Clin Kidney J       Date:  2016-06-10

Review 7.  A path to precision in the ICU.

Authors:  David M Maslove; Francois Lamontagne; John C Marshall; Daren K Heyland
Journal:  Crit Care       Date:  2017-04-03       Impact factor: 9.097

8.  Identification of Major Adverse Kidney Events Within the Electronic Health Record.

Authors:  Matthew W Semler; Todd W Rice; Andrew D Shaw; Edward D Siew; Wesley H Self; Avinash B Kumar; Daniel W Byrne; Jesse M Ehrenfeld; Jonathan P Wanderer
Journal:  J Med Syst       Date:  2016-05-27       Impact factor: 4.460

Review 9.  Transcatheter Aortic Valve Replacement: a Kidney's Perspective.

Authors:  Wisit Cheungpasitporn; Charat Thongprayoon; Kianoush Kashani
Journal:  J Renal Inj Prev       Date:  2016-01-18

10.  The comparison of the commonly used surrogates for baseline renal function in acute kidney injury diagnosis and staging.

Authors:  Charat Thongprayoon; Wisit Cheungpasitporn; Andrew M Harrison; Wonngarm Kittanamongkolchai; Patompong Ungprasert; Narat Srivali; Abbasali Akhoundi; Kianoush B Kashani
Journal:  BMC Nephrol       Date:  2016-01-09       Impact factor: 2.388

  10 in total

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