Reducing Kidney Disease through Acute Kidney Injury Risk Prediction and Prevention
Acute kidney injury (AKI) is a sudden decline in kidney function, often occurring in the setting of hospitalization. It occurs in up to 20% of hospitalized adults ? millions of Americans annually ? and is recognized as one of the most significant contributors to chronic kidney disease (CKD) development and progression (Chawla et al, N Engl J Med 2014;371:58). Thus prevention of AKI has the potential to significantly reduce the overall burden of kidney disease. Furthermore, AKI is associated with hospital mortality rates approaching 25%; mortality exceeds 50% when dialysis is required.
Our proposal aims to a) develop a high fidelity AKI risk prediction tool for hospitalized Veterans that can be administered shortly after admission; b) develop a decision support tool for management of patients identified as being at risk for AKI; and c) implement these tools in a pilot cohort of VA facilities. The ultimate goal of our study is to reduce the burden of kidney disease by decreasing one of its most important precipitants: AKI. As we will leverage VA health data and data analytic approaches for this proposal, it will also secondarily target Topic 0002: Data Science Advances to Improve Health Care of People with Kidney Disease.
Veterans Affairs, Department of
Funding Period: 9/30/2018 to 9/29/2019