An algorithm for identifying chronic kidney disease in the French national health insurance claims database

database[Title] 2022-07-01

Summary:

CONCLUSIONS: The algorithm showed good performance among younger patients and those with end-stage kidney disease in the twol last years prior to renal replacement therapy. Future research will address the ability of the algorithm to detect early chronic kidney disease stages and to classify the severity of chronic kidney disease.

Link:

https://pubmed.ncbi.nlm.nih.gov/35773142/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=12QQbiNmM99eUQGIX1JjHIKcROC1Vzv4sOS-2S_LNI19uG_Yrk&fc=20220129225649&ff=20220701085802&v=2.17.6

From feeds:

📚BioDBS Bibliography » database[Title]

Tags:

Authors:

Imène Mansouri, Maxime Raffray, Mathilde Lassalle, Florent de Vathaire, Brice Fresneau, Chiraz Fayech, Hélène Lazareth, Nadia Haddy, Sahar Bayat, Cécile Couchoud, group REDSIAM

Date tagged:

07/01/2022, 08:58

Date published:

06/30/2022, 06:00