2min chapter

JAMA Clinical Reviews cover image

Chronic Kidney Disease and Diabetes

JAMA Clinical Reviews

CHAPTER

Essential Screening for Chronic Kidney Disease in Diabetes Management

This chapter highlights the vital role of screening for chronic kidney disease (CKD) among diabetes patients. It discusses the importance of regular testing for albuminuria and EGFR to ensure timely intervention, ultimately improving treatment options and patient outcomes.

00:00
Speaker 1
And
Speaker 2
finally, is there anything else generalists should know about diabetes and chronic kidney disease that we haven't talked about.
Speaker 1
I think I'd like to end by reinforcing the need for screening, also testing, case finding, whatever it's called, because identifying patients with chronic kidney disease is now key. We have treatments. We need to find them. And in particular, it's the albuminuria screening that people tend to forget about. The testing, at least yearly, for people with type 1 and type 2 diabetes with both EGFR and albuminuria is critical. When we find these people, we now have a whole host of new medications that we can use to make their lives better. So in primary care, I really feel that awareness of chronic kidney disease, testing for chronic kidney disease is key. And then that's the beginning of a cascade that we can use to enhance treatments and improve longevity, improve outcomes for people with both type 1 and type 2 diabetes. Well,
Speaker 2
thank you. This has been tremendously helpful. I'm Dr. Karen Lasser. I've been speaking today with Dr. Ian DeBoer from University of Washington about diabetes and chronic kidney disease. You can find a link to the article in this episode's description. This episode was produced by Daniel Musisi at the JAMA Network. To follow this and other JAMA Network podcasts, please visit us online at jamanetworkaudio.com or search for JAMA Network wherever you get your podcasts. Thanks for listening. This content is protected by copyright by the American Medical Association with All Rights Reserved, including those for text and data mining, AI training, and similar technologies.

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