Open AccessMultinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure
Author(s) -
Navdeep Tangri,
Morgan E. Grams,
Andrew S. Levey,
Josef Coresh,
Lawrence J. Appel,
Brad C. Astor,
Gabriel Chodick,
Allan J. Collins,
Ognjenka Djurdjev,
C. Raina Elley,
Marie Evans,
Amit X. Garg,
Stein Hallan,
Lesley A. Inker,
Sadayoshi Ito,
Sun Ha Jee,
Csaba P. Kövesdy,
Florian Kronenberg,
Hiddo J.L. Heerspink,
Angharad Marks,
Girish N. Nadkarni,
Sankar D. Navaneethan,
Robert G. Nelson,
Stephanie Titze,
Mark J. Sarnak,
Bénédicte Stengel,
Mark Woodward,
Kunitoshi Iseki
Publication year - 2016
Publication title -
jama
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.688
H-Index - 680
eISSN - 1538-3598
pISSN - 0098-7484
DOI - 10.1001/jama.2015.18202
Subject(s) - medicine , kidney disease , nephrology , hazard ratio , renal function , dialysis , risk assessment , intensive care medicine , confidence interval , computer security , computer science
Identifying patients at risk of chronic kidney disease (CKD) progression may facilitate more optimal nephrology care. Kidney failure risk equations, including such factors as age, sex, estimated glomerular filtration rate, and calcium and phosphate concentrations, were previously developed and validated in 2 Canadian cohorts. Validation in other regions and in CKD populations not under the care of a nephrologist is needed.
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