FlashMed

Titolo	A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure
Autore	Navdeep Tangri, MD, FRCPC; Lesley A. Stevens, MD, MS, FRCPC; John Griffith, PhD; Hocine Tighiouart, MS; Ognjenka Djurdjev, MSc; David Naimark, MD, FRCPC; Adeera Levin, MD, FRCPC; Andrew S. Levey, MD
Referenza	JAMA 2011; 305 (15): 1553-1559
Contenuto	Abstract (abbreviated) 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. Conclusion A model using routinely obtained laboratory tests can accurately predict progression to kidney failure in patients with CKD stages 3 to 5.
Data	02.02.2012

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