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Open Access 12-02-2024 | Chronic Kidney Disease | Review

Estimated glomerular filtration rate in observational and interventional studies in chronic kidney disease

Authors: Michele Provenzano, Lilio Hu, Chiara Abenavoli, Giuseppe Cianciolo, Giuseppe Coppolino, Luca De Nicola, Gaetano La Manna, Giorgia Comai, Olga Baraldi

Published in: Journal of Nephrology

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Abstract

Estimated 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.
Literature
1.
go back to reference 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):1048–1050PubMedCrossRef 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):1048–1050PubMedCrossRef
2.
go back to reference 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):2398–2405PubMedCrossRef 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):2398–2405PubMedCrossRef
3.
go back to reference Wallace MA (1998) Anatomy and physiology of the kidney. AORN J 68(5):800 (803–16, 819–20; quiz 821–4)PubMedCrossRef Wallace MA (1998) Anatomy and physiology of the kidney. AORN J 68(5):800 (803–16, 819–20; quiz 821–4)PubMedCrossRef
5.
go back to reference 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):138–147PubMed 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):138–147PubMed
6.
go back to reference Chronic Kidney Disease Prognosis Consortium, Matsushita K, van der Velde M, Astor BC, Woodward M, Levey AS et al (2010) Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet Lond Engl. 375(9731):2073–2081CrossRef Chronic Kidney Disease Prognosis Consortium, Matsushita K, van der Velde M, Astor BC, Woodward M, Levey AS et al (2010) Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet Lond Engl. 375(9731):2073–2081CrossRef
7.
go back to reference Matsushita K, Coresh J, Sang Y, Chalmers J, Fox C, Guallar E et al (2015) Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data. Lancet Diabetes Endocrinol 3(7):514–525PubMedPubMedCentralCrossRef Matsushita K, Coresh J, Sang Y, Chalmers J, Fox C, Guallar E et al (2015) Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data. Lancet Diabetes Endocrinol 3(7):514–525PubMedPubMedCentralCrossRef
9.
go back to reference Kop WJ, Seliger SL, Fink JC, Katz R, Odden MC, Fried LF et al (2011) Longitudinal association of depressive symptoms with rapid kidney function decline and adverse clinical renal disease outcomes. Clin J Am Soc Nephrol CJASN 6(4):834–844PubMedCrossRef Kop WJ, Seliger SL, Fink JC, Katz R, Odden MC, Fried LF et al (2011) Longitudinal association of depressive symptoms with rapid kidney function decline and adverse clinical renal disease outcomes. Clin J Am Soc Nephrol CJASN 6(4):834–844PubMedCrossRef
10.
go back to reference Wadei HM, Textor SC (2012) The role of the kidney in regulating arterial blood pressure. Nat Rev Nephrol 8(10):602–609PubMedCrossRef Wadei HM, Textor SC (2012) The role of the kidney in regulating arterial blood pressure. Nat Rev Nephrol 8(10):602–609PubMedCrossRef
11.
go back to reference Hu L, Napoletano A, Provenzano M, Garofalo C, Bini C, Comai G et al (2022) Mineral bone disorders in kidney disease patients: the ever-current topic. Int J Mol Sci 23(20):12223PubMedPubMedCentralCrossRef Hu L, Napoletano A, Provenzano M, Garofalo C, Bini C, Comai G et al (2022) Mineral bone disorders in kidney disease patients: the ever-current topic. Int J Mol Sci 23(20):12223PubMedPubMedCentralCrossRef
12.
go back to reference Hall JE, Guyton AC (2011) Guyton and Hall textbook of medical physiology, 12th edn. Saunders/Elsevier, Philadelphia, p 1091 Hall JE, Guyton AC (2011) Guyton and Hall textbook of medical physiology, 12th edn. Saunders/Elsevier, Philadelphia, p 1091
13.
go back to reference Rognant N, Laville M (2014) To live with normal GFR: when higher is not better. Kidney Int 86(1):10–13PubMedCrossRef Rognant N, Laville M (2014) To live with normal GFR: when higher is not better. Kidney Int 86(1):10–13PubMedCrossRef
14.
go back to reference Kidney T (1952) Structure and function in health and disease. Postgrad Med J 28(317):191–192CrossRef Kidney T (1952) Structure and function in health and disease. Postgrad Med J 28(317):191–192CrossRef
16.
go back to reference Delanaye P (2012) How measuring glomerular filtration rate? Comparison of reference methods Delanaye P (2012) How measuring glomerular filtration rate? Comparison of reference methods
17.
go back to reference Soveri I, Berg UB, Björk J, Elinder CG, Grubb A, Mejare I et al (2014) Measuring GFR: a systematic review. Am J Kidney Dis 64(3):411–424PubMedCrossRef Soveri I, Berg UB, Björk J, Elinder CG, Grubb A, Mejare I et al (2014) Measuring GFR: a systematic review. Am J Kidney Dis 64(3):411–424PubMedCrossRef
18.
go back to reference Dossetor JB, Creatininemia versus uremia (1966) The relative significance of blood urea nitrogen and serum creatinine concentrations in azotemia. Ann Intern Med 65(6):1287–1299PubMedCrossRef Dossetor JB, Creatininemia versus uremia (1966) The relative significance of blood urea nitrogen and serum creatinine concentrations in azotemia. Ann Intern Med 65(6):1287–1299PubMedCrossRef
19.
go back to reference Morgan DB, Dillon S, Payne RB (1978) The assessment of glomerular function: creatinine clearance or plasma creatinine? Postgrad Med J 54(631):302–310PubMedPubMedCentralCrossRef Morgan DB, Dillon S, Payne RB (1978) The assessment of glomerular function: creatinine clearance or plasma creatinine? Postgrad Med J 54(631):302–310PubMedPubMedCentralCrossRef
20.
go back to reference Perrone RD, Madias NE, Levey AS (1992) Serum creatinine as an index of renal function: new insights into old concepts. Clin Chem 38(10):1933–1953PubMedCrossRef Perrone RD, Madias NE, Levey AS (1992) Serum creatinine as an index of renal function: new insights into old concepts. Clin Chem 38(10):1933–1953PubMedCrossRef
21.
go back to reference Cockcroft DW, Gault MH (1976) Prediction of creatinine clearance from serum creatinine. Nephron 16(1):31–41PubMedCrossRef Cockcroft DW, Gault MH (1976) Prediction of creatinine clearance from serum creatinine. Nephron 16(1):31–41PubMedCrossRef
22.
go back to reference Winter MA, Guhr KN, Berg GM (2012) Impact of various body weights and serum creatinine concentrations on the bias and accuracy of the Cockcroft-Gault equation. Pharmacother J Hum Pharmacol Drug Ther 32(7):604–612CrossRef Winter MA, Guhr KN, Berg GM (2012) Impact of various body weights and serum creatinine concentrations on the bias and accuracy of the Cockcroft-Gault equation. Pharmacother J Hum Pharmacol Drug Ther 32(7):604–612CrossRef
23.
go back to reference Smythe M, Hoffman J, Kizy K, Dmuchowski C (1994) Estimating creatinine clearance in elderly patients with low serum creatinine concentrations. Am J Hosp Pharm 51(2):198–204PubMed Smythe M, Hoffman J, Kizy K, Dmuchowski C (1994) Estimating creatinine clearance in elderly patients with low serum creatinine concentrations. Am J Hosp Pharm 51(2):198–204PubMed
24.
go back to reference Crass RL, Pai MP (2019) Estimating renal function in drug development: time to take the fork in the ROAD. J Clin Pharmacol 59(2):159–167PubMedCrossRef Crass RL, Pai MP (2019) Estimating renal function in drug development: time to take the fork in the ROAD. J Clin Pharmacol 59(2):159–167PubMedCrossRef
25.
go back to reference Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D (1999) A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of diet in renal disease study group. Ann Intern Med 130(6):461–470PubMedCrossRef Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D (1999) A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of diet in renal disease study group. Ann Intern Med 130(6):461–470PubMedCrossRef
26.
go back to reference Levey A, Greene T, Kusek J, Beck G (2000) A simplified equation to predict glomerular filtration rate from serum creatinine. J Am Soc Nephrol 11:155 (Abstract) Levey A, Greene T, Kusek J, Beck G (2000) A simplified equation to predict glomerular filtration rate from serum creatinine. J Am Soc Nephrol 11:155 (Abstract)
27.
go back to reference Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S et al (2006) Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 145(4):247–254PubMedCrossRef Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S et al (2006) Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 145(4):247–254PubMedCrossRef
28.
go back to reference Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI et al (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150(9):604–612PubMedPubMedCentralCrossRef Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI et al (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150(9):604–612PubMedPubMedCentralCrossRef
29.
go back to reference Stevens LA, Schmid CH, Greene T, Zhang YL, Beck GJ, Froissart M et al (2010) Comparative performance of the CKD epidemiology collaboration (CKD-EPI) and the modification of diet in renal disease (MDRD) study equations for estimating GFR levels above 60 mL/min/173 m2. Am J Kidney Dis 56(3):486–495PubMedPubMedCentralCrossRef Stevens LA, Schmid CH, Greene T, Zhang YL, Beck GJ, Froissart M et al (2010) Comparative performance of the CKD epidemiology collaboration (CKD-EPI) and the modification of diet in renal disease (MDRD) study equations for estimating GFR levels above 60 mL/min/173 m2. Am J Kidney Dis 56(3):486–495PubMedPubMedCentralCrossRef
30.
go back to reference Gaillard F, Courbebaisse M, Kamar N, Rostaing L, Jacquemont L, Hourmant M et al (2019) Impact of estimation versus direct measurement of predonation glomerular filtration rate on the eligibility of potential living kidney donors. Kidney Int 95(4):896–904PubMedCrossRef Gaillard F, Courbebaisse M, Kamar N, Rostaing L, Jacquemont L, Hourmant M et al (2019) Impact of estimation versus direct measurement of predonation glomerular filtration rate on the eligibility of potential living kidney donors. Kidney Int 95(4):896–904PubMedCrossRef
31.
go back to reference Lujan PR, Chiurchiu C, Douthat W, de Arteaga J, de la Fuente J, Capra RH et al (2012) CKD-EPI instead of MDRD for candidates to kidney donation. Transplantation 94(6):637–641PubMedCrossRef Lujan PR, Chiurchiu C, Douthat W, de Arteaga J, de la Fuente J, Capra RH et al (2012) CKD-EPI instead of MDRD for candidates to kidney donation. Transplantation 94(6):637–641PubMedCrossRef
32.
go back to reference Kilbride HS, Stevens PE, Eaglestone G, Knight S, Carter JL, Delaney MP et al (2013) Accuracy of the MDRD (modification of diet in renal disease) study and CKD-EPI (CKD epidemiology collaboration) equations for estimation of GFR in the elderly. Am J Kidney Dis 61(1):57–66PubMedCrossRef Kilbride HS, Stevens PE, Eaglestone G, Knight S, Carter JL, Delaney MP et al (2013) Accuracy of the MDRD (modification of diet in renal disease) study and CKD-EPI (CKD epidemiology collaboration) equations for estimation of GFR in the elderly. Am J Kidney Dis 61(1):57–66PubMedCrossRef
33.
go back to reference Inker LA, Schmid CH, Tighiouart H, Eckfeldt JH, Feldman HI, Greene T et al (2012) Estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med 367(1):20–29PubMedPubMedCentralCrossRef Inker LA, Schmid CH, Tighiouart H, Eckfeldt JH, Feldman HI, Greene T et al (2012) Estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med 367(1):20–29PubMedPubMedCentralCrossRef
34.
go back to reference Barrett AJ (1985) The cystatins: small protein inhibitors of cysteine proteinases. Prog Clin Biol Res 180:105–116PubMed Barrett AJ (1985) The cystatins: small protein inhibitors of cysteine proteinases. Prog Clin Biol Res 180:105–116PubMed
35.
go back to reference Madero M, Sarnak MJ, Stevens LA (2006) Serum cystatin C as a marker of glomerular filtration rate. Curr Opin Nephrol Hypertens 15(6):610–616PubMedCrossRef Madero M, Sarnak MJ, Stevens LA (2006) Serum cystatin C as a marker of glomerular filtration rate. Curr Opin Nephrol Hypertens 15(6):610–616PubMedCrossRef
36.
go back to reference Knight EL, Verhave JC, Spiegelman D, Hillege HL, de Zeeuw D, Curhan GC et al (2004) Factors influencing serum cystatin C levels other than renal function and the impact on renal function measurement. Kidney Int 65(4):1416–1421PubMedCrossRef Knight EL, Verhave JC, Spiegelman D, Hillege HL, de Zeeuw D, Curhan GC et al (2004) Factors influencing serum cystatin C levels other than renal function and the impact on renal function measurement. Kidney Int 65(4):1416–1421PubMedCrossRef
37.
go back to reference Delgado C, Baweja M, Burrows NR, Crews DC, Eneanya ND, Gadegbeku CA et al (2021) Reassessing the inclusion of race in diagnosing kidney diseases: an interim report from the NKF-ASN task force. J Am Soc Nephrol JASN 32(6):1305–1317PubMedCrossRef Delgado C, Baweja M, Burrows NR, Crews DC, Eneanya ND, Gadegbeku CA et al (2021) Reassessing the inclusion of race in diagnosing kidney diseases: an interim report from the NKF-ASN task force. J Am Soc Nephrol JASN 32(6):1305–1317PubMedCrossRef
38.
go back to reference Inker LA, Eneanya ND, Coresh J, Tighiouart H, Wang D, Sang Y et al (2021) New creatinine- and cystatin C-based equations to estimate GFR without race. N Engl J Med 385(19):1737–1749PubMedPubMedCentralCrossRef Inker LA, Eneanya ND, Coresh J, Tighiouart H, Wang D, Sang Y et al (2021) New creatinine- and cystatin C-based equations to estimate GFR without race. N Engl J Med 385(19):1737–1749PubMedPubMedCentralCrossRef
39.
go back to reference Delanaye P, Vidal-Petiot E, Björk J, Ebert N, Eriksen BO, Dubourg L et al (2023) Performance of creatinine-based equations to estimate glomerular filtration rate in White and Black populations in Europe, Brazil and Africa. Nephrol Dial Transplant 38(1):106–118PubMedCrossRef Delanaye P, Vidal-Petiot E, Björk J, Ebert N, Eriksen BO, Dubourg L et al (2023) Performance of creatinine-based equations to estimate glomerular filtration rate in White and Black populations in Europe, Brazil and Africa. Nephrol Dial Transplant 38(1):106–118PubMedCrossRef
40.
go back to reference Delanaye P, Schaeffner E, Cozzolino M, Langlois M, Plebani M, Ozben T et al (2023) The new, race-free, Chronic Kidney Disease Epidemiology Consortium (CKD-EPI) equation to estimate glomerular filtration rate: is it applicable in Europe? A position statement by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM). Clin Chem Lab Med 61(1):44–47PubMedCrossRef Delanaye P, Schaeffner E, Cozzolino M, Langlois M, Plebani M, Ozben T et al (2023) The new, race-free, Chronic Kidney Disease Epidemiology Consortium (CKD-EPI) equation to estimate glomerular filtration rate: is it applicable in Europe? A position statement by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM). Clin Chem Lab Med 61(1):44–47PubMedCrossRef
41.
go back to reference Du Bois D, Du Bois EF (1989) A formula to estimate the approximate surface area if height and weight be known 1916. Nutr Burbank Los Angel Cty Calif. 5(5):303–311 (discussion 312–313) Du Bois D, Du Bois EF (1989) A formula to estimate the approximate surface area if height and weight be known 1916. Nutr Burbank Los Angel Cty Calif. 5(5):303–311 (discussion 312–313)
42.
go back to reference Titan S, Miao S, Tighiouart H, Chen N, Shi H, Zhang L et al (2020) Performance of indexed and nonindexed estimated GFR. Am J Kidney Dis 76(3):446–449PubMedCrossRef Titan S, Miao S, Tighiouart H, Chen N, Shi H, Zhang L et al (2020) Performance of indexed and nonindexed estimated GFR. Am J Kidney Dis 76(3):446–449PubMedCrossRef
43.
go back to reference Berns JS (2015) Clinical decision making in a patient with stage 5 CKD—is eGFR good enough? Clin J Am Soc Nephrol CJASN 10(11):2065–2072PubMedCrossRef Berns JS (2015) Clinical decision making in a patient with stage 5 CKD—is eGFR good enough? Clin J Am Soc Nephrol CJASN 10(11):2065–2072PubMedCrossRef
44.
go back to reference Yang Y, Xu G (2022) Update on pathogenesis of glomerular hyperfiltration in early diabetic kidney disease. Front Endocrinol 13:872918CrossRef Yang Y, Xu G (2022) Update on pathogenesis of glomerular hyperfiltration in early diabetic kidney disease. Front Endocrinol 13:872918CrossRef
45.
go back to reference Schwartz GJ, Haycock GB, Edelmann CM, Spitzer A (1976) A simple estimate of glomerular filtration rate in children derived from body length and plasma creatinine. Pediatrics 58(2):259–263PubMedCrossRef Schwartz GJ, Haycock GB, Edelmann CM, Spitzer A (1976) A simple estimate of glomerular filtration rate in children derived from body length and plasma creatinine. Pediatrics 58(2):259–263PubMedCrossRef
46.
go back to reference Schwartz GJ, Muñoz A, Schneider MF, Mak RH, Kaskel F, Warady BA et al (2009) New equations to estimate GFR in children with CKD. J Am Soc Nephrol JASN 20(3):629–637PubMedCrossRef Schwartz GJ, Muñoz A, Schneider MF, Mak RH, Kaskel F, Warady BA et al (2009) New equations to estimate GFR in children with CKD. J Am Soc Nephrol JASN 20(3):629–637PubMedCrossRef
47.
go back to reference Pierce CB, Muñoz A, Ng DK, Warady BA, Furth SL, Schwartz GJ (2021) Age- and sex-dependent clinical equations to estimate glomerular filtration rates in children and young adults with chronic kidney disease. Kidney Int 99(4):948–956PubMedCrossRef Pierce CB, Muñoz A, Ng DK, Warady BA, Furth SL, Schwartz GJ (2021) Age- and sex-dependent clinical equations to estimate glomerular filtration rates in children and young adults with chronic kidney disease. Kidney Int 99(4):948–956PubMedCrossRef
48.
go back to reference Pottel H, Björk J, Delanaye P, Nyman U (2022) Evaluation of the creatinine-based chronic kidney disease in children (under 25 years) equation in healthy children and adolescents. Pediatr Nephrol 37(9):2213–2216PubMedCrossRef Pottel H, Björk J, Delanaye P, Nyman U (2022) Evaluation of the creatinine-based chronic kidney disease in children (under 25 years) equation in healthy children and adolescents. Pediatr Nephrol 37(9):2213–2216PubMedCrossRef
49.
go back to reference Hoste L, Dubourg L, Selistre L, De Souza VC, Ranchin B, Hadj-Aïssa A et al (2014) A new equation to estimate the glomerular filtration rate in children, adolescents and young adults. Nephrol Dial Transplant 29(5):1082–1091PubMedCrossRef Hoste L, Dubourg L, Selistre L, De Souza VC, Ranchin B, Hadj-Aïssa A et al (2014) A new equation to estimate the glomerular filtration rate in children, adolescents and young adults. Nephrol Dial Transplant 29(5):1082–1091PubMedCrossRef
50.
go back to reference Pottel H, Björk J, Courbebaisse M, Couzi L, Ebert N, Eriksen BO et al (2021) Development and validation of a modified full age spectrum creatinine-based equation to estimate glomerular filtration rate : a cross-sectional analysis of pooled data. Ann Intern Med 174(2):183–191PubMedCrossRef Pottel H, Björk J, Courbebaisse M, Couzi L, Ebert N, Eriksen BO et al (2021) Development and validation of a modified full age spectrum creatinine-based equation to estimate glomerular filtration rate : a cross-sectional analysis of pooled data. Ann Intern Med 174(2):183–191PubMedCrossRef
51.
go back to reference Schaeffner ES, Ebert N, Delanaye P, Frei U, Gaedeke J, Jakob O et al (2012) Two novel equations to estimate kidney function in persons aged 70 years or older. Ann Intern Med 157(7):471–481PubMedCrossRef Schaeffner ES, Ebert N, Delanaye P, Frei U, Gaedeke J, Jakob O et al (2012) Two novel equations to estimate kidney function in persons aged 70 years or older. Ann Intern Med 157(7):471–481PubMedCrossRef
52.
go back to reference Pottel H, Hoste L, Dubourg L, Ebert N, Schaeffner E, Eriksen BO et al (2016) An estimated glomerular filtration rate equation for the full age spectrum. Nephrol Dial Transplant 31(5):798–806PubMedPubMedCentralCrossRef Pottel H, Hoste L, Dubourg L, Ebert N, Schaeffner E, Eriksen BO et al (2016) An estimated glomerular filtration rate equation for the full age spectrum. Nephrol Dial Transplant 31(5):798–806PubMedPubMedCentralCrossRef
53.
go back to reference Pottel H, Björk J, Rule AD, Ebert N, Eriksen BO, Dubourg L et al (2023) Cystatin C-based equation to estimate GFR without the inclusion of race and sex. N Engl J Med 388(4):333–343PubMedCrossRef Pottel H, Björk J, Rule AD, Ebert N, Eriksen BO, Dubourg L et al (2023) Cystatin C-based equation to estimate GFR without the inclusion of race and sex. N Engl J Med 388(4):333–343PubMedCrossRef
54.
go back to reference De Nicola L, Serra R, Provenzano M, Minutolo R, Michael A, Ielapi N et al (2023) Risk of end-stage kidney disease in kidney transplant recipients versus patients with native chronic kidney disease: multicentre unmatched and propensity-score matched analyses. Nephrol Dial Transplant 38(2):507–516PubMedCrossRef De Nicola L, Serra R, Provenzano M, Minutolo R, Michael A, Ielapi N et al (2023) Risk of end-stage kidney disease in kidney transplant recipients versus patients with native chronic kidney disease: multicentre unmatched and propensity-score matched analyses. Nephrol Dial Transplant 38(2):507–516PubMedCrossRef
55.
go back to reference Gansevoort RT, Matsushita K, van der Velde M, Astor BC, Woodward M, Levey AS et al (2011) Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts. Kidney Int 80(1):93–104PubMedPubMedCentralCrossRef Gansevoort RT, Matsushita K, van der Velde M, Astor BC, Woodward M, Levey AS et al (2011) Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts. Kidney Int 80(1):93–104PubMedPubMedCentralCrossRef
56.
go back to reference Coresh J, Turin TC, Matsushita K, Sang Y, Ballew SH, Appel LJ et al (2014) Decline in estimated glomerular filtration rate and subsequent risk of end-stage renal disease and mortality. JAMA 311(24):2518–2531PubMedPubMedCentralCrossRef Coresh J, Turin TC, Matsushita K, Sang Y, Ballew SH, Appel LJ et al (2014) Decline in estimated glomerular filtration rate and subsequent risk of end-stage renal disease and mortality. JAMA 311(24):2518–2531PubMedPubMedCentralCrossRef
57.
go back to reference Tangri N, Stevens LA, Griffith J, Tighiouart H, Djurdjev O, Naimark D et al (2011) A predictive model for progression of chronic kidney disease to kidney failure. JAMA 305(15):1553–1559PubMedCrossRef Tangri N, Stevens LA, Griffith J, Tighiouart H, Djurdjev O, Naimark D et al (2011) A predictive model for progression of chronic kidney disease to kidney failure. JAMA 305(15):1553–1559PubMedCrossRef
58.
go back to reference National Kidney Foundation (2002) K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 39(2 Suppl 1):S1-266 National Kidney Foundation (2002) K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 39(2 Suppl 1):S1-266
59.
go back to reference Ellam TJ, El Nahas M (2011) Proteinuria thresholds are irrational: a call for proteinuria indexing. Nephron Clin Pract 118(3):c217-224PubMedCrossRef Ellam TJ, El Nahas M (2011) Proteinuria thresholds are irrational: a call for proteinuria indexing. Nephron Clin Pract 118(3):c217-224PubMedCrossRef
60.
go back to reference De Nicola L, Provenzano M, Chiodini P, Borrelli S, Russo L, Bellasi A et al (2017) Epidemiology of low-proteinuric chronic kidney disease in renal clinics. PLoS ONE 12(2):e0172241PubMedPubMedCentralCrossRef De Nicola L, Provenzano M, Chiodini P, Borrelli S, Russo L, Bellasi A et al (2017) Epidemiology of low-proteinuric chronic kidney disease in renal clinics. PLoS ONE 12(2):e0172241PubMedPubMedCentralCrossRef
61.
go back to reference Liu P, Quinn RR, Lam NN, Elliott MJ, Xu Y, James MT et al (2021) Accounting for age in the definition of chronic kidney disease. JAMA Intern Med 181(10):1359–1366PubMedPubMedCentralCrossRef Liu P, Quinn RR, Lam NN, Elliott MJ, Xu Y, James MT et al (2021) Accounting for age in the definition of chronic kidney disease. JAMA Intern Med 181(10):1359–1366PubMedPubMedCentralCrossRef
62.
go back to reference Delanaye P, Glassock RJ, Pottel H, Rule AD (2016) An age-calibrated definition of chronic kidney disease: rationale and benefits. Clin Biochem Rev 37(1):17–26PubMedPubMedCentral Delanaye P, Glassock RJ, Pottel H, Rule AD (2016) An age-calibrated definition of chronic kidney disease: rationale and benefits. Clin Biochem Rev 37(1):17–26PubMedPubMedCentral
63.
go back to reference De Nicola L, Minutolo R, Chiodini P, Borrelli S, Zoccali C, Postorino M et al (2012) The effect of increasing age on the prognosis of non-dialysis patients with chronic kidney disease receiving stable nephrology care. Kidney Int 82(4):482–488PubMedCrossRef De Nicola L, Minutolo R, Chiodini P, Borrelli S, Zoccali C, Postorino M et al (2012) The effect of increasing age on the prognosis of non-dialysis patients with chronic kidney disease receiving stable nephrology care. Kidney Int 82(4):482–488PubMedCrossRef
64.
go back to reference Eloot S, Schepers E, Barreto DV, Barreto FC, Liabeuf S, Van Biesen W et al (2011) Estimated glomerular filtration rate is a poor predictor of concentration for a broad range of uremic toxins. Clin J Am Soc Nephrol CJASN 6(6):1266–1273PubMedCrossRef Eloot S, Schepers E, Barreto DV, Barreto FC, Liabeuf S, Van Biesen W et al (2011) Estimated glomerular filtration rate is a poor predictor of concentration for a broad range of uremic toxins. Clin J Am Soc Nephrol CJASN 6(6):1266–1273PubMedCrossRef
65.
go back to reference Nakano T, Ninomiya T, Sumiyoshi S, Fujii H, Doi Y, Hirakata H et al (2010) Association of kidney function with coronary atherosclerosis and calcification in autopsy samples from Japanese elders: the Hisayama study. Am J Kidney Dis 55(1):21–30PubMedCrossRef Nakano T, Ninomiya T, Sumiyoshi S, Fujii H, Doi Y, Hirakata H et al (2010) Association of kidney function with coronary atherosclerosis and calcification in autopsy samples from Japanese elders: the Hisayama study. Am J Kidney Dis 55(1):21–30PubMedCrossRef
66.
go back to reference Madore F (2003) Uremia-related metabolic cardiac risk factors in chronic kidney disease. Semin Dial 16(2):148–156PubMedCrossRef Madore F (2003) Uremia-related metabolic cardiac risk factors in chronic kidney disease. Semin Dial 16(2):148–156PubMedCrossRef
67.
go back to reference Uhlig K, Levey AS, Sarnak MJ (2003) Traditional cardiac risk factors in individuals with chronic kidney disease. Semin Dial 16(2):118–127PubMedCrossRef Uhlig K, Levey AS, Sarnak MJ (2003) Traditional cardiac risk factors in individuals with chronic kidney disease. Semin Dial 16(2):118–127PubMedCrossRef
68.
go back to reference Levey AS, Inker LA, Matsushita K, Greene T, Willis K, Lewis E et al (2014) GFR decline as an end point for clinical trials in CKD: a scientific workshop sponsored by the National Kidney Foundation and the US Food and Drug Administration. Am J Kidney Dis 64(6):821–835PubMedCrossRef Levey AS, Inker LA, Matsushita K, Greene T, Willis K, Lewis E et al (2014) GFR decline as an end point for clinical trials in CKD: a scientific workshop sponsored by the National Kidney Foundation and the US Food and Drug Administration. Am J Kidney Dis 64(6):821–835PubMedCrossRef
69.
go back to reference De Nicola L, Provenzano M, Chiodini P, D’Arrigo G, Tripepi G, Del Vecchio L et al (2015) Prognostic role of LDL cholesterol in non-dialysis chronic kidney disease: multicenter prospective study in Italy. Nutr Metab Cardiovasc Dis NMCD 25(8):756–762PubMedCrossRef De Nicola L, Provenzano M, Chiodini P, D’Arrigo G, Tripepi G, Del Vecchio L et al (2015) Prognostic role of LDL cholesterol in non-dialysis chronic kidney disease: multicenter prospective study in Italy. Nutr Metab Cardiovasc Dis NMCD 25(8):756–762PubMedCrossRef
70.
go back to reference Thompson A, Lawrence J, Stockbridge N (2014) GFR decline as an end point in trials of CKD: a viewpoint from the FDA. Am J Kidney Dis 64(6):836–837PubMedCrossRef Thompson A, Lawrence J, Stockbridge N (2014) GFR decline as an end point in trials of CKD: a viewpoint from the FDA. Am J Kidney Dis 64(6):836–837PubMedCrossRef
71.
go back to reference Mol PGM, Maciulaitis R, Vetter T (2014) GFR decline as an end point for clinical trials in CKD: a view from Europe. Am J Kidney Dis 64(6):838–840PubMedCrossRef Mol PGM, Maciulaitis R, Vetter T (2014) GFR decline as an end point for clinical trials in CKD: a view from Europe. Am J Kidney Dis 64(6):838–840PubMedCrossRef
72.
go back to reference Bellizzi V, Signoriello S, Minutolo R, Di Iorio B, Nazzaro P, Garofalo C et al (2022) No additional benefit of prescribing a very low-protein diet in patients with advanced chronic kidney disease under regular nephrology care: a pragmatic, randomized, controlled trial. Am J Clin Nutr 115(5):1404–1417PubMedCrossRef Bellizzi V, Signoriello S, Minutolo R, Di Iorio B, Nazzaro P, Garofalo C et al (2022) No additional benefit of prescribing a very low-protein diet in patients with advanced chronic kidney disease under regular nephrology care: a pragmatic, randomized, controlled trial. Am J Clin Nutr 115(5):1404–1417PubMedCrossRef
73.
go back to reference Brenner BM, Cooper ME, de Zeeuw D, Keane WF, Mitch WE, Parving HH et al (2001) Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy. N Engl J Med 345(12):861–869PubMedCrossRef Brenner BM, Cooper ME, de Zeeuw D, Keane WF, Mitch WE, Parving HH et al (2001) Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy. N Engl J Med 345(12):861–869PubMedCrossRef
74.
go back to reference Lewis EJ, Hunsicker LG, Clarke WR, Berl T, Pohl MA, Lewis JB et al (2001) Renoprotective effect of the angiotensin-receptor antagonist irbesartan in patients with nephropathy due to type 2 diabetes. N Engl J Med 345(12):851–860PubMedCrossRef Lewis EJ, Hunsicker LG, Clarke WR, Berl T, Pohl MA, Lewis JB et al (2001) Renoprotective effect of the angiotensin-receptor antagonist irbesartan in patients with nephropathy due to type 2 diabetes. N Engl J Med 345(12):851–860PubMedCrossRef
75.
go back to reference Lambers Heerspink HJ, Weldegiorgis M, Inker LA, Gansevoort R, Parving HH, Dwyer JP et al (2014) Estimated GFR decline as a surrogate end point for kidney failure: a post hoc analysis from the Reduction of End Points in Non-Insulin-Dependent Diabetes With the Angiotensin II Antagonist Losartan (RENAAL) study and Irbesartan Diabetic Nephropathy Trial (IDNT). Am J Kidney Dis 63(2):244–250PubMedCrossRef Lambers Heerspink HJ, Weldegiorgis M, Inker LA, Gansevoort R, Parving HH, Dwyer JP et al (2014) Estimated GFR decline as a surrogate end point for kidney failure: a post hoc analysis from the Reduction of End Points in Non-Insulin-Dependent Diabetes With the Angiotensin II Antagonist Losartan (RENAAL) study and Irbesartan Diabetic Nephropathy Trial (IDNT). Am J Kidney Dis 63(2):244–250PubMedCrossRef
76.
go back to reference Tortorici MA, Nolin TD (2014) Kidney function assessment and its role in drug development, review and utilization. Expert Rev Clin Pharmacol 7(4):523–532PubMedCrossRef Tortorici MA, Nolin TD (2014) Kidney function assessment and its role in drug development, review and utilization. Expert Rev Clin Pharmacol 7(4):523–532PubMedCrossRef
77.
go back to reference Parving HH, Brenner BM, McMurray JJV, de Zeeuw D, Haffner SM, Solomon SD et al (2009) Aliskiren trial in type 2 diabetes using cardio-renal endpoints (ALTITUDE): rationale and study design. Nephrol Dial Transplant 24(5):1663–1671PubMedCrossRef Parving HH, Brenner BM, McMurray JJV, de Zeeuw D, Haffner SM, Solomon SD et al (2009) Aliskiren trial in type 2 diabetes using cardio-renal endpoints (ALTITUDE): rationale and study design. Nephrol Dial Transplant 24(5):1663–1671PubMedCrossRef
78.
go back to reference Fioretto P, Del Prato S, Buse JB, Goldenberg R, Giorgino F, Reyner D et al (2018) Efficacy and safety of dapagliflozin in patients with type 2 diabetes and moderate renal impairment (chronic kidney disease stage 3A): the DERIVE study. Diabetes Obes Metab 20(11):2532–2540PubMedPubMedCentralCrossRef Fioretto P, Del Prato S, Buse JB, Goldenberg R, Giorgino F, Reyner D et al (2018) Efficacy and safety of dapagliflozin in patients with type 2 diabetes and moderate renal impairment (chronic kidney disease stage 3A): the DERIVE study. Diabetes Obes Metab 20(11):2532–2540PubMedPubMedCentralCrossRef
79.
go back to reference Waijer SW, Provenzano M, Mulder S, Rossing P, Persson F, Perkovic V et al (2022) Impact of random variation in albuminuria and estimated glomerular filtration rate on patient enrolment and duration of clinical trials in nephrology. Diabetes Obes Metab 24(6):983–990PubMedPubMedCentralCrossRef Waijer SW, Provenzano M, Mulder S, Rossing P, Persson F, Perkovic V et al (2022) Impact of random variation in albuminuria and estimated glomerular filtration rate on patient enrolment and duration of clinical trials in nephrology. Diabetes Obes Metab 24(6):983–990PubMedPubMedCentralCrossRef
80.
go back to reference Waijer SW, de Vries ST, Busch R, Xie D, Gansevoort RT, Hou FF et al (2021) Large between-patient variability in eGFR decline before clinical trial enrollment and impact on atrasentan’s efficacy: a post hoc analysis from the SONAR trial. J Am Soc Nephrol JASN 32(11):2731–2734PubMedCrossRef Waijer SW, de Vries ST, Busch R, Xie D, Gansevoort RT, Hou FF et al (2021) Large between-patient variability in eGFR decline before clinical trial enrollment and impact on atrasentan’s efficacy: a post hoc analysis from the SONAR trial. J Am Soc Nephrol JASN 32(11):2731–2734PubMedCrossRef
81.
go back to reference Heerspink HJL, Parving HH, Andress DL, Bakris G, Correa-Rotter R, Hou FF et al (2019) Atrasentan and renal events in patients with type 2 diabetes and chronic kidney disease (SONAR): a double-blind, randomised, placebo-controlled trial. Lancet Lond Engl 393(10184):1937–1947CrossRef Heerspink HJL, Parving HH, Andress DL, Bakris G, Correa-Rotter R, Hou FF et al (2019) Atrasentan and renal events in patients with type 2 diabetes and chronic kidney disease (SONAR): a double-blind, randomised, placebo-controlled trial. Lancet Lond Engl 393(10184):1937–1947CrossRef
83.
go back to reference Delanaye P, Jager KJ, Bökenkamp A, Christensson A, Dubourg L, Eriksen BO et al (2019) CKD: a call for an age-adapted definition. J Am Soc Nephrol JASN 30(10):1785–1805PubMedCrossRef Delanaye P, Jager KJ, Bökenkamp A, Christensson A, Dubourg L, Eriksen BO et al (2019) CKD: a call for an age-adapted definition. J Am Soc Nephrol JASN 30(10):1785–1805PubMedCrossRef
84.
go back to reference van Gelder MK, Stevens J, Pieters TT, Vaessen KRD, Joles JA, Verhaar MC et al (2021) Simplified iohexol-based method for measurement of glomerular filtration rate in goats and pigs. Biology 10(6):461PubMedPubMedCentralCrossRef van Gelder MK, Stevens J, Pieters TT, Vaessen KRD, Joles JA, Verhaar MC et al (2021) Simplified iohexol-based method for measurement of glomerular filtration rate in goats and pigs. Biology 10(6):461PubMedPubMedCentralCrossRef
Metadata
Title
Estimated glomerular filtration rate in observational and interventional studies in chronic kidney disease
Authors
Michele Provenzano
Lilio Hu
Chiara Abenavoli
Giuseppe Cianciolo
Giuseppe Coppolino
Luca De Nicola
Gaetano La Manna
Giorgia Comai
Olga Baraldi
Publication date
12-02-2024
Publisher
Springer International Publishing
Published in
Journal of Nephrology
Print ISSN: 1121-8428
Electronic ISSN: 1724-6059
DOI
https://doi.org/10.1007/s40620-024-01887-x