Prediction of outcomes after acute kidney injury in hospitalised patients: protocol for a systematic review.

Journal: BMJ open
Published Date: Dec 22, 2020

Abstract

INTRODUCTION: Acute kidney injury (AKI) is common and is associated with negative long-term outcomes. Given the heterogeneity of the syndrome, the ability to predict outcomes of AKI may be beneficial towards effectively using resources and personalising AKI care. This systematic review will identify, describe and assess current models in the literature for the prediction of outcomes in hospitalised patients with AKI.

Authors

  • Tanima Arora
    Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA tanima.arora@yale.edu.
  • Melissa Martin
    Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA.
  • Alyssa Grimshaw
    Harvey Cushing Library, Yale University School of Medicine, New Haven, Connecticut, USA.
  • Sherry Mansour
    Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, Connecticut, USA.
  • Francis P Wilson
    Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.

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