Prendecki, M;
Blacker, E;
Sadeghi-Alavijeh, O;
Edwards, R;
Montgomery, H;
Gillis, S;
Harber, M;
(2016)
Improving outcomes in patients with Acute Kidney Injury: the impact of hospital based automated AKI alerts.
Postgraduate Medical Journal
, 92
(1083)
pp. 9-13.
10.1136/postgradmedj-2015-133496.
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Abstract
BACKGROUND: Acute kidney injury (AKI) is a significant cause of morbidity and mortality. Early identification may improve the outcome and in 2012 our hospital introduced an automated AKI alert system for early detection and management of AKI. OBJECTIVES: Using an automated AKI alert system we analysed whether early review and intervention by the Critical Care and Outreach (CCOT) team improved patient outcomes in AKI and whether serum bicarbonate was useful in predicting outcomes in patients with AKI. METHODS: In a retrospective analysis we identified patients who triggered an AKI alert from 20 April 2012 to 20 September 2013 and collected data on mortality, length of stay, need for intensive care admission and renal replacement therapy (RRT). RESULTS: 994 AKI alerts were generated and analysed. Patients with bicarbonate outside the normal range had significantly higher mortality. Bicarbonate <22 mmol/L was associated with a mortality of 25.7% (49/191) compared with 16.9% (39/231) when 22-29 mmol/L (p=0.047, χ(2)). Those patients reviewed ≥1 day after AKI alert by CCOT compared with those seen on the day of the alert had a 2.4 times increase in mortality and were 7 times more likely to require RRT acutely. CONCLUSIONS: Electronically identified AKI alerts identify patients at high risk of morbidity and mortality. In this group AKI alerts preceded CCOT review by a mean of 2 days. This represents a window for supportive interventions, which may explain improved outcomes in those reviewed earlier. The addition of serum bicarbonate offers a further method of risk stratifying patients at greater risk of death.
| Type: | Article |
|---|---|
| Title: | Improving outcomes in patients with Acute Kidney Injury: the impact of hospital based automated AKI alerts |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1136/postgradmedj-2015-133496 |
| Publisher version: | http://dx.doi.org/10.1136/postgradmedj-2015-133496 |
| Language: | English |
| Additional information: | This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Experimental and Translational Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Renal Medicine |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1473316 |
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