Abstract
AbstractEstimated glomerular filtration rate is considered the principal measure of kidney function and, together with albuminuria, is a relevant prognostic factor for the development of end-stage kidney disease. Due to the strong association between estimated glomerular filtration rate and clinical events, such as commencement of dialysis, cardiovascular outcomes and all-cause death, estimated glomerular filtration rate is crucial for clinical decision-making in terms of scheduling follow-up and pharmacological interventions, and planning renal replacement therapies in advanced chronic kidney disease. In this review we discuss the available methods for measuring glomerular filtration rate and for estimating it through mathematical equations developed over the last few decades. We summarize the prognostic association of different percentages of estimated glomerular filtration rate decline and the main clinical outcomes, and how treatments modify estimated glomerular filtration rate decline and the risk of future endpoints. We also examine the role of pre-clinical trial slope and that of estimated glomerular filtration rate as a useful biomarker when evaluating patients for inclusion into both observational and interventional studies.
Funder
Alma Mater Studiorum - Università di Bologna
Publisher
Springer Science and Business Media LLC
Reference84 articles.
1. Jager KJ, Kovesdy C, Langham R, Rosenberg M, Jha V, Zoccali C (2019) A single number for advocacy and communication-worldwide more than 850 million individuals have kidney diseases. Kidney Int 96(5):1048–1050
2. Borrelli S, Garofalo C, Mallamaci F, Tripepi G, Stanzione G, Provenzano M et al (2018) Short-term blood pressure variability in nondialysis chronic kidney disease patients: correlates and prognostic role on the progression of renal disease. J Hypertens 36(12):2398–2405
3. Wallace MA (1998) Anatomy and physiology of the kidney. AORN J 68(5):800 (803–16, 819–20; quiz 821–4)
4. Kidney Disease: Improving Global Outcomes (KDIGO) (2012) Clinical Practice Guideline for the Evaluation and Management of CKD. [Internet]. Available from: https://kdigo.org/wp-content/uploads/2017/02/KDIGO_2012_CKD_GL.pdf
5. Provenzano M, Chiodini P, Minutolo R, Zoccali C, Bellizzi V, Conte G et al (2020) Reclassification of chronic kidney disease patients for end-stage renal disease risk by proteinuria indexed to estimated glomerular filtration rate: multicentre prospective study in nephrology clinics. Nephrol Dial Transplant 35(1):138–147