• Ann. Clin. Biochem. · Jan 2012

    Detection of patients with acute kidney injury by the clinical laboratory using rises in serum creatinine: comparison of proposed definitions and a laboratory delta check.

    • Ashley E Garner, Andrew J P Lewington, and Julian H Barth.
    • Department of Clinical Biochemistry, Leeds General Infirmary, Great George Street, Leeds LS1 3EX, UK. Ashley.Garner@leedsth.nhs.uk
    • Ann. Clin. Biochem. 2012 Jan 1;49(Pt 1):59-62.

    BackgroundTimely detection of acute kidney injury (AKI) in hospital patients has been hampered by the multiple definitions of AKI and difficulties applying their criteria. A laboratory delta check may provide an effective means of detecting patients developing AKI. This study compared three of the proposed AKI definitions and a delta check to detect AKI using serum creatinine results of hospital inpatients.MethodsSerum creatinine results for 2822 inpatients were gathered retrospectively from the clinical biochemistry database. All serum creatinine results within 30 d of admission were included for each patient and assessed for AKI according to four criteria: Risk, Injury, Failure (RIFLE), Acute Kidney Injury Network (AKIN), Waikar & Bonventre or a delta check (increase of >26 μmol/L between two successive values).ResultsA total of 149 (11.3%) patients were defined as having AKI by at least one of the four criteria. Different populations of patients were identified by each criterion. The number of patients identified and the incidence of AKI were as follows: RIFLE 94 (7.1%), AKIN 125 (9.5%), Waikar & Bonventre 100 (7.6%) and delta check 146 (11.1%). The delta check detected 132 (98%) of all 135 cases detected by the other three criteria. A further 14 patients were detected solely by the delta check.ConclusionsThe different definitions proposed for AKI detect different populations of patients. A laboratory delta check detected 98% of all the patients identified by AKIN, RIFLE and Waikar & Bonventre combined and could therefore provide a practical way of detecting AKI patients.

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