Development of Risk Prediction Equations for Incident Chronic Kidney Disease

IMPORTANCE: Early identification of individuals at elevated risk of developing chronic kidney disease (CKD) could improve clinical care through enhanced surveillance and better management of underlying health conditions. OBJECTIVE: To develop assessment tools to identify individuals at increased ris...

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Detalhes bibliográficos
Publicado no:JAMA
Main Authors: Nelson, Robert G., Grams, Morgan E., Ballew, Shoshana H., Sang, Yingying, Azizi, Fereidoun, Chadban, Steven J., Chaker, Layal, Dunning, Stephan C., Fox, Caroline, Hirakawa, Yoshihisa, Iseki, Kunitoshi, Ix, Joachim, Jafar, Tazeen H., Köttgen, Anna, Naimark, David M. J., Ohkubo, Takayoshi, Prescott, Gordon J., Rebholz, Casey M., Sabanayagam, Charumathi, Sairenchi, Toshimi, Schöttker, Ben, Shibagaki, Yugo, Tonelli, Marcello, Zhang, Luxia, Gansevoort, Ron T., Matsushita, Kunihiro, Woodward, Mark, Coresh, Josef, Shalev, Varda
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Association 2019
Assuntos:
Original Investigation
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6865298/
https://ncbi.nlm.nih.gov/pubmed/31703124
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jama.2019.17379
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