The Role of Risk Prediction Models in Prevention and Management of AKI
Journal
Seminars in Nephrology
Journal Volume
39
Journal Issue
5
Pages
421-430
Date Issued
2019
Author(s)
Abstract
Summary: Acute kidney injury is a major health care problem. Improving recognition of those at risk and highlighting those who have developed AKI at an earlier stage remains a priority for research and clinical practice. Prediction models to risk-stratify patients and electronic alerts for AKI are two approaches that could address previously highlighted shortcomings in management and facilitate timely intervention. We describe and critique available prediction models and the effects of the use of AKI alerts on patient outcomes are reviewed. Finally, the potential for prediction models to enrich population subsets for other diagnostic approaches and potential research, including biomarkers of AKI, are discussed. ? 2019
Subjects
Acute kidney injury; electronic alerts; prediction models
SDGs
Other Subjects
biological marker; acute kidney failure; attitude to health; care bundle; clinical decision support system; clinical feature; clinical outcome; health care delivery; human; medical education; mortality rate; online system; priority journal; prognostic assessment; protocol compliance; Review; risk assessment; acute kidney failure; forecasting; procedures; prognosis; risk assessment; statistical model; Acute Kidney Injury; Decision Support Systems, Clinical; Forecasting; Humans; Models, Statistical; Prognosis; Risk Assessment
Publisher
W.B. Saunders
Type
review