Principal Investigator
Associate Professor Term; Director, Clinical and Translational Research Accelerator (CTRA); Course Director, Interpretation of the Medical Literature; Co Director, Human Genetics and Clinical Research Core
Electronic Alerts for Acute Kidney Injury Amelioration (ELAIA-1)
Overview
Acute kidney injury (AKI) affects up to 20% of hospitalized patients and increases the risk of dying in the hospital by a factor of 10. However, AKI is asymptomatic and can go unrecognized by even well-trained medical providers. Automated detection of AKI coupled with provider alerting has the potential to improve outcomes. We are conducting three randomized trials of AKI alerts to evaluate the ability of alerts to slow the progression of AKI, avoid dialysis, and save lives.
Electronic Alerts for Acute Kidney Injury Amelioration, ELAIA-1 will randomize roughly 6,000 patients with AKI to AKI alerts or usual care with a goal of determining whether alerts reduce the rate of worsening of acute kidney injury, dialysis, or death.
Contact Information
For more information, or if you are interested in collaborating on this study, please contact Melissa Martin
Project Funding
Funding for this project comes, in part, from the following grants:
K23 DK097201 (NIH/NIDDK)
"Mediators & Prognostic Value of Muscle Mass & Function in Chronic Kidney Disease"
R01 DK113191 (NIH/NIDDK)
"Optimizing Electronic Alerts for Acute Kidney Injury"
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