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Postgrad Med J ; 92(1083): 9-13, 2016 Jan.
Article in English | MEDLINE | ID: mdl-26512125

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.


Subject(s)
Acute Kidney Injury/blood , Bicarbonates/blood , Clinical Alarms , Hospital Mortality , Intensive Care Units/statistics & numerical data , Length of Stay/statistics & numerical data , Renal Replacement Therapy/statistics & numerical data , Acute Kidney Injury/diagnosis , Acute Kidney Injury/mortality , Adult , Aged , Algorithms , Biomarkers/blood , Computer Systems , Early Diagnosis , Female , Hospitalization , Humans , Male , Middle Aged , Monitoring, Physiologic , Prognosis , Renal Replacement Therapy/mortality , Retrospective Studies , Risk Factors
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