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Impact of Electronic Acute Kidney Injury (AKI) Alerts With Automated Nephrologist Consultation on Detection and Severity of AKI: A Quality Improvement Study

Authors
Park, SehoonBaek, Seon HaAhn, SoyeonLee, Kee-HyukHwang, HeeRyu, JiwonAhn, Shin YoungChin, Ho JunNa, Ki YoungChae, Dong-WanKim, Sejoong
Issue Date
1월-2018
Publisher
W B SAUNDERS CO-ELSEVIER INC
Keywords
Acute kidney injury (AKI); AKI alarm; AKI alert; electronic alert; electronic medical record (EMR); nephrology consultation; quality improvement report; serum creatinine
Citation
AMERICAN JOURNAL OF KIDNEY DISEASES, v.71, no.1, pp.9 - 19
Indexed
SCIE
SCOPUS
Journal Title
AMERICAN JOURNAL OF KIDNEY DISEASES
Volume
71
Number
1
Start Page
9
End Page
19
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/78542
DOI
10.1053/j.ajkd.2017.06.008
ISSN
0272-6386
Abstract
Background: Several electronic alert systems for acute kidney injury (AKI) have been introduced. However, their clinical benefits require further investigation. Study Design: Before-and-after quality improvement study. Setting & Participants: A tertiary teaching hospital in Korea, which adopted an AKI alert system on June 1, 2014. Before and after launch of the alert system, 1,884 and 1,309 patients with AKI were included in the usual-care and alert groups, respectively. Quality Improvement Plan: Implementation of an AKI alert system through which clinicians could generate automated consultations to the nephrology division for all hospitalized patients. Outcomes: Primary outcomes included overlooked AKI events, defined as not measuring the follow-up creatinine value, and the consultation pattern of clinicians. Secondary outcomes were severe AKI events; AKI recovery, defined based on the creatinine-based criterion; and patient mortality. Measurements: ORs for events of overlooked AKI, early consultation, and severe AKI were calculated with logistic regression. AKI recovery rate and patient mortality were assessed using Cox regression. Results: After introduction of the alert system, the odds of overlooked AKI events were significantly lower (adjusted OR, 0.40; 95% CI, 0.30-0.52), and the odds of an early consultation with a nephrologist were greater (adjusted OR, 6.13; 95% CI, 4.80-7.82). The odds of a severe AKI event was reduced after implementation of the alerts (adjusted OR, 0.75; 95% CI, 0.64-0.89). Furthermore, the likelihood of AKI recovery was improved in the alert group (adjusted HR, 1.70; 95% CI, 1.53-1.88). Mortality was not affected by the AKI alert system (adjusted HR, 1.07; 95% CI, 0.68-1.68). Limitations: Possible unreported differences between the alert and usual-care groups. Conclusions: Implementation of the AKI alert system was associated with beneficial effects in terms of an improved rate of recovery from AKI. Therefore, widespread adoption of such systems could be considered in general hospitals.
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