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Patients with CKD and severely decreased glomerular filtration rate (GFR) are at a high risk for kidney failure requiring renal replacement therapy, cardiovascular events, and death. Probability and timing of events were modeled using competing risk regression, random effects meta-analysis, and Markov processes with Monte Carlo simulations, using data from 264,296 individuals in 30 countries participating in the Chronic Kidney Disease Prognosis Consortium.
Citations
Grams ME, Sang Y, Ballew SH, Carrero JJ, Djurdjev O, Heerspink HJL et al.
Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate.
Kidney Int 2018; 93:1442-1451
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