Development and Validation of a Pragmatic Electronic Phenotype for CKD
Author(s) -
Jenna M. Norton,
Kaltun Ali,
Claudine Jurkovitz,
Krzysztof Kiryluk,
Meyeon Park,
Kensaku Kawamoto,
Ning Shang,
Sankar D. Navaneethan,
Andrew S. Narva,
Paul E. Drawz
Publication year - 2019
Publication title -
clinical journal of the american society of nephrology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.755
H-Index - 151
eISSN - 1555-905X
pISSN - 1555-9041
DOI - 10.2215/cjn.00360119
Subject(s) - medicine , kidney disease , dialysis , creatinine , phenotype , dipstick , urine , urology , biochemistry , chemistry , gene
Poor identification of individuals with CKD is a major barrier to research and appropriate clinical management of the disease. We aimed to develop and validate a pragmatic electronic (e-) phenotype to identify patients likely to have CKD.
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