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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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Autors principals: 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
Idioma:Inglês
Publicat: 2008
Matèries:
Accés en línia: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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