Assessment Of Urinary Metabolites In Risk Prediction Of Acute Kidney Injury

Gisewhite, Sarah
2020-05
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Assessment Of Urinary Metabolites In Risk Prediction Of Acute Kidney Injury

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2020-05

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Acute kidney injury (AKI) is the sudden decrease or loss of kidney function caused by direct kidney injury or functional impairment. Many patients do not recover renal function, leading to poor quality of life and high healthcare costs. Previous work has been done to evaluate urinary biomarkers associated with AKI, but these studies have focused on a few proteins with questionable diagnostic ability. Due to the complex pathophysiology of AKI, it may be necessary to create a panel of biomarkers for diagnostic and prognostic assessment of AKI. We explored metabolic biomarkers of AKI in combat casualties using metabolomics. In this study, we used proton nuclear magnetic resonance (1H-NMR) spectroscopy to identify urinary metabolic biomarkers associated with the following outcomes: AKI diagnosis, injury severity score (ISS), AKI stage, or a primary outcome of death or need for renal replacement therapy (RRT).

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University of Minnesota M.S. thesis.May 2020. Major: Integrated Biosciences. Advisor: Elizabeth Lusczek. 1 computer file (PDF); 61 pages.

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Gisewhite, Sarah. (2020). Assessment Of Urinary Metabolites In Risk Prediction Of Acute Kidney Injury. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/214994.

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