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

Theis S Itenov, Rasmus Ehrenfried Berthelsen, 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

Research output: Contribution to journalArticlepeer-review


Intensive 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.
Observational study with development and validation of a risk prediction model.
Nine academic ICUs in Denmark.
Development 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).
Recovery 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.
A 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%.
We constructed and validated a simple model that can predict the chance of recovery from AKI in critically ill patients.
Original languageEnglish
JournalCritical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine
Publication statusPublished - Mar 2018

Other keywords

  • Nýrnabilun
  • Batahorfur
  • Acute Kidney Injury
  • Prognosis


Dive into the research topics of 'Predicting recovery from acute kidney injury in critically ill patients: development and validation of a prediction model.'. Together they form a unique fingerprint.

Cite this