• Crit Care Resusc · Mar 2018

    Observational Study

    Predicting recovery from acute kidney injury in critically ill patients: development and validation of a prediction model.

    • Theis S Itenov, Berthelsen Rasmus Ehrenfried RE Department of Anaesthesiology, Nordsjællands Hospital, University of Copenhagen, Denmark., Jens-Ulrik Jensen, Thomas A Gerds, Lars M Pedersen, Ditte Strange, Katrin Thormar, Jesper Løken, Mads H Andersen, Hamid Tousi, Nanna Reiter, Jens D Lundgren, Morten H Bestle, and Procalcitonin and Survival Study Group.
    • Department of Anaesthesiology, Nordsjællands Hospital, University of Copenhagen, Denmark. Theis.skovsgaard.itenov@regionh.dk.
    • Crit Care Resusc. 2018 Mar 1; 20 (1): 54-60.

    ObjectiveIntensive care unit (ICU) patients with acute kidney injury (AKI) who recover kidney function within 28 days experience less severe chronic kidney impairment and have increased long term survival. The aims of this study were to develop and validate a risk prediction model to identify these patients.DesignObservational study with development and validation of a risk prediction model.SettingNine academic ICUs in Denmark.ParticipantsDevelopment cohort of critically ill patients with AKI at ICU admission from the Procalcitonin and Survival Study cohort (n = 568), validation cohort of adult patients with AKI admitted to two university hospitals in Denmark in 2012-13 (n = 766).InterventionsNone.Main Outcome MeasuresRecovery of kidney function was defined as living for 5 consecutive days with no renal replacement therapy and with creatinine plasma levels below 1.5-fold the levels determined before ICU admission.ResultsA total of 266 patients (46.8%) recovered prior kidney function in the development cohort, and 453 patients (59.1%) in the validation cohort. The prediction model included elevation in creatinine, urinary output, sex and age. In the validation cohort, 69 patients (9.0%) had a predicted chance of recovery < 25%, and their observed rate of recovery was 21.5%. This observed rate of recovery was 81.7% among the 325 patients who had a predicted chance > 75%. The area under the receiver operations curves for predicting recovery in the validation cohort was 73.1%.ConclusionWe constructed and validated a simple model that can predict the chance of recovery from AKI in critically ill patients.

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