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.

(doi:10.1001/jama.2019.17379)


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.

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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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