Predicting risk of chronic kidney disease
What The Study Did: Data from about 5 million people (with and without diabetes) in 28 countries were used to develop equations to help identify people at increased five-year risk of chronic kidney disease, defined as reduced estimated glomerular filtration rate (eGFR).
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Authors: Josef Coresh, M.D., of the Johns Hopkins Bloomberg School of Public Health in Baltimore, is the corresponding author.
Editor’s Note: The article includes conflict of interest disclosures. Please see the article for additional information, including other authors, author contributions and affiliations, financial disclosures, funding and support, etc.
Media advisory: The full study and editorial are linked to this news release. This study is being released to coincide with presentation at Kidney Week 2019.
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