A Simple Algorithm to Predict Incident Kidney Disease

BACKGROUND: Despite the growing burden of chronic kidney disease (CKD), there are no algorithms (to our knowledge) to quantify the effect of concurrent risk factors on the development of incident disease. METHODS: A combined cohort (N = 14 155) of 2 community-based studies, the Atherosclerosis Risk...

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Main Authors: Kshirsagar, Abhijit V., Bang, Heejung, Bomback, Andrew S., Vupputuri, Suma, Shoham, David A., Kern, Lisa M., Klemmer, Philip J., Mazumdar, Madhu, August, Phyllis A.
Format: Artigo
Sprog:Inglês
Udgivet: 2008
Fag:
Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2849985/
https://ncbi.nlm.nih.gov/pubmed/19064831
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/archinte.168.22.2466
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