Predicting Risk of Chronic Kidney Disease

JAMA

EMBARGOED FOR RELEASE: 2 P.M. (ET), FRIDAY, NOVEMBER 8, 2019

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.

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time https://jamanetwork.com/journals/jama/fullarticle/10.1001/jama.2019.17379?guestAccessKey=46528152-dd1c-4a86-9b08-4bd9c325bf34&utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=110819

 

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).

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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