Navdeep Tangri, Lesley A Stevens, John Griffith, Hocine Tighiouart, Ognjenka Djurdjev, David Naimark, Adeera Levin, Andrew S Levey
CONTEXT: Chronic kidney disease (CKD) is common. Kidney disease severity can be classified by estimated glomerular filtration rate (GFR) and albuminuria, but more accurate information regarding risk for progression to kidney failure is required for clinical decisions about testing, treatment, and referral. OBJECTIVE: To develop and validate predictive models for progression of CKD. DESIGN, SETTING, AND PARTICIPANTS: Development and validation of prediction models using demographic, clinical, and laboratory data from 2 independent Canadian cohorts of patients with CKD stages 3 to 5 (estimated GFR, 10-59 mL/min/1...
April 20, 2011: JAMA