학술논문
Use of an electronic alert to identify patients with acute kidney injury.
Document Type
Article
Author
Source
Subject
*EARLY medical intervention
*ACUTE kidney failure
*PATIENT monitoring
*CHI-squared test
*STATISTICAL correlation
*STATISTICS
*U-statistics
*DATA analysis software
*DESCRIPTIVE statistics
*DIAGNOSIS
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Language
ISSN
1470-2118
Abstract
Early intervention in the management of acute kidney injury (AKI) has been shown to improve outcomes. To facilitate early review we have introduced real time reporting for AKI. An algorithm using the laboratory computer system was implemented to report AKI for inpatients. Over 6 months there were 1,906 AKI reports in 1,518 patients: 56.3% AKI1, 26.9% AKI2 and 16.8% AKI3. 51.0% were male. Median age was 78 (interquartile range [IQR] 17) years. 62.6% were from general medical wards, 16.9% from surgical wards, 6.9% from orthopaedic wards and 5.3% from specialty wards. 8.3% were from peripheral hospitals. 31% of patients with AKI reports were clinically coded for AKI. 9% (n = 139) showed progression of AKI (mortality 42%). Patients with AKI had a signifi cantly higher length of stay and mortality than those that did not. 4% of patients with AKI received acute renal replacement therapy (RRT). An e-alert system is feasible, allowing early identifi cation of inpatients with AKI. [ABSTRACT FROM AUTHOR]