期刊论文详细信息
BMC Nephrology
The eGFR-C study: accuracy of glomerular filtration rate (GFR) estimation using creatinine and cystatin C and albuminuria for monitoring disease progression in patients with stage 3 chronic kidney disease - prospective longitudinal study in a multiethnic population
Maarten W Taal1,13  Andrew J Sutton3  Paul E Stevens5  Alice J Sitch8  Claire C Sharpe1  Ryan S Ottridge6  Fiona Loud7  Kamlesh Khunti1,11  Philip A Kalra1,14  Tracy Higgins2  Kevin Harris1,12  Jon J Deeks8  Neil Dalton9  Paul Cockwell1,10  Elizabeth A Brettell6  Edmund J Lamb4 
[1] King’s College London & King’s College Hospital NHS Foundation Trust SE5 9RJ, London, UK;Centre for Health Services Studies, University of Kent, Canterbury CT2 7NF, UK;Health Economics Unit, School of Health and Population Sciences, Occupational Health Building, University of Birmingham, Birmingham B15 2TT, UK;Clinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, Kent CT1 3NG, UK;Kent Kidney Care Centre, East Kent Hospitals University NHS Foundation Trust, Canterbury, Kent CT1 3NG, UK;Birmingham Clinical Trials Unit, School of Cancer Sciences, Robert Aitken Institute, University of Birmingham, Birmingham B15 2TT, UK;British Kidney Patient Association, Hampshire, UK;Test Evaluation Research Group, School of Health and Population Sciences, Public Health Building, University of Birmingham, Birmingham, B15 2TT, UK;Kings College London, London, UK;University Hospitals Birmingham NHS Foundation Trust, Birmingham B15 2TT, UK;University of Leicester, Leicester, UK;University Hospitals of Leicester, Leicester, UK;Royal Derby Hospital, Uttoxeter Road, Derby DE22 3NE, UK;Salford Royal NHS Foundation Trust, Salford M6 8HD, UK
关键词: Kidney disease;    Iohexol;    Glomerular filtration rate;    Cystatin C;    Creatinine;    Biological variation;    Albuminuria;   
Others  :  1082746
DOI  :  10.1186/1471-2369-15-13
 received in 2013-12-20, accepted in 2014-01-09,  发布年份 2014
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【 摘 要 】

Background

Uncertainty exists regarding the optimal method to estimate glomerular filtration rate (GFR) for disease detection and monitoring. Widely used GFR estimates have not been validated in British ethnic minority populations.

Methods/design

Iohexol measured GFR will be the reference against which each estimating equation will be compared. The estimating equations will be based upon serum creatinine and/or cystatin C. The eGFR-C study has 5 components:

1) A prospective longitudinal cohort study of 1300 adults with stage 3 chronic kidney disease followed for 3 years with reference (measured) GFR and test (estimated GFR [eGFR] and urinary albumin-to-creatinine ratio) measurements at baseline and 3 years. Test measurements will also be undertaken every 6 months. The study population will include a representative sample of South-Asians and African-Caribbeans. People with diabetes and proteinuria (ACR ≥30 mg/mmol) will comprise 20-30% of the study cohort.

2) A sub-study of patterns of disease progression of 375 people (125 each of Caucasian, Asian and African-Caribbean origin; in each case containing subjects at high and low risk of renal progression). Additional reference GFR measurements will be undertaken after 1 and 2 years to enable a model of disease progression and error to be built.

3) A biological variability study to establish reference change values for reference and test measures.

4) A modelling study of the performance of monitoring strategies on detecting progression, utilising estimates of accuracy, patterns of disease progression and estimates of measurement error from studies 1), 2) and 3).

5) A comprehensive cost database for each diagnostic approach will be developed to enable cost-effectiveness modelling of the optimal strategy.

The performance of the estimating equations will be evaluated by assessing bias, precision and accuracy. Data will be modelled as a linear function of time utilising all available (maximum 7) time points compared with the difference between baseline and final reference values. The percentage of participants demonstrating large error with the respective estimating equations will be compared. Predictive value of GFR estimates and albumin-to-creatinine ratio will be compared amongst subjects that do or do not show progressive kidney function decline.

Discussion

The eGFR-C study will provide evidence to inform the optimal GFR estimate to be used in clinical practice.

Trial registration

ISRCTN42955626.

【 授权许可】

   
2014 Lamb et al.; licensee BioMed Central Ltd.

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Figure 1.

【 参考文献 】
  • [1]Carter JL, Stevens PE, Irving JE, Lamb EJ: Estimating glomerular filtration rate: comparison of the CKD-EPI and MDRD equations in a large UK cohort with particular emphasis on the effect of age. QJM 2011, 104(10):839-847.
  • [2]Coresh J, Astor BC, Greene T, Eknoyan G, Levey AS: Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. Am J Kidney Dis 2003, 41(1):1-12.
  • [3]Stevens PE, O’Donoghue DJ, de Lusignan S, Van Vlymen J, Klebe B, Middleton R, Hague N, New J, Farmer CK: Chronic kidney disease management in the United Kingdom: NEOERICA project results. Kidney Int 2007, 72(1):92-99.
  • [4]Roth M, Roderick P, Mindell J: Chapter 3: kidney disease and renal function in health survey for England 2009. Health and Lifestyles: NHS Information Centre 2010., 1Available from: http://www.ic.nhs.uk/statistics-and-data-collections/health-and-lifestyles-related-surveys/health-survey-for-england webcite
  • [5]Gaspari F, Perico N, Ruggenenti P, Mosconi L, Amuchastegui CS, Guerini E, Daina E, Remuzzi G: Plasma clearance of nonradioactive iohexol as a measure of glomerular filtration rate. J Am Soc Nephrol 1995, 6(2):257-263.
  • [6]National Institute for Health and Care Excellence: Chronic Kidney Disease: National Clinical Guideline for Early Identification and Management in Adults in Primary and Secondary Care. Clinical Guideline 2008., 73Available from http://www.nice.org.uk/Guidance/CG73 webcite.
  • [7]de Lusignan S, Tomson C, Harris K, van Vlymen J, Gallagher H: Creatinine fluctuation has a greater effect than the formula to estimate glomerular filtration rate on the prevalence of chronic kidney disease. Nephron Clin Pract 2011, 117(3):c213-224.
  • [8]Moynihan R, Doust J, Henry D: Preventing overdiagnosis: how to stop harming the healthy. BMJ 2012, 344:e3502.
  • [9]Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D: 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 1999, 130(6):461-470.
  • [10]Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, et al.: A new equation to estimate glomerular filtration rate. Ann Intern Med 2009, 150(9):604-612.
  • [11]Hsu CY, Bansal N: Measured GFR as “gold standard”–all that glitters is not gold? Clin J Am Soc Nephrol 2011, 6(8):1813-1814.
  • [12]Brochner-Mortensen J, Rodbro P: Selection of routine method for determination of glomerular filtration rate in adult patients. Scand J Clin Lab Invest 1976, 36(1):35-43.
  • [13]Gaspari F, Perico N, Matalone M, Signorini O, Azzollini N, Mister M, Remuzzi G: Precision of plasma clearance of iohexol for estimation of GFR in patients with renal disease. J Am Soc Nephrol 1998, 9(2):310-313.
  • [14]Levey AS, Greene T, Schluchter MD, Cleary PA, Teschan PE, Lorenz RA, Molitch ME, Mitch WE, Siebert C, Hall PM, et al.: Glomerular filtration rate measurements in clinical trials. Modification of Diet in Renal Disease Study Group and the Diabetes Control and Complications Trial Research Group. J Am Soc Nephrol 1993, 4(5):1159-1171.
  • [15]Wilkinson J, Fleming JS, Waller DG: Effect of food and activity on the reproducibility of isotopic GFR estimation. Nucl Med Commun 1990, 11(10):697-700.
  • [16]Blake GM, Roe D, Lazarus CR: Long-term precision of glomerular filtration rate measurements using 51Cr-EDTA plasma clearance. Nucl Med Commun 1997, 18(8):776-784.
  • [17]Perrone RD, Steinman TI, Beck GJ, Skibinski CI, Royal HD, Lawlor M, Hunsicker LG: Utility of radioisotopic filtration markers in chronic renal insufficiency: simultaneous comparison of 125I-iothalamate, 169Yb-DTPA, 99mTc-DTPA, and inulin. The Modification of Diet in Renal Disease Study. Am J Kidney Dis 1990, 16(3):224-235.
  • [18]Kwong YT, Stevens LA, Selvin E, Zhang YL, Greene T, Van Lente F, Levey AS, Coresh J: Imprecision of urinary iothalamate clearance as a gold-standard measure of GFR decreases the diagnostic accuracy of kidney function estimating equations. Am J Kidney Dis 2010, 56(1):39-49.
  • [19]Fraser CG, Harris EK: Generation and application of data on biological variation in clinical chemistry. Crit Rev Clin Lab Sci 1989, 27(5):409-437.
  • [20]Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S, Kusek JW, Van Lente F: Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 2006, 145(4):247-254.
  • [21]Levey AS, Greene T, Kusek JW, Beck GJ: A simplified equation to predict glomerular filtration rate from serum creatinine. J Am Soc Nephrol 2000, 11(suppl):155A.
  • [22]Myers GL, Miller WG, Coresh J, Fleming J, Greenberg N, Greene T, Hostetter T, Levey AS, Panteghini M, Welch M, et al.: Recommendations for improving serum creatinine measurement: a report from the Laboratory Working Group of the National Kidney Disease Education Program. Clin Chem 2006, 52(1):5-18.
  • [23]Earley A, Miskulin D, Lamb EJ, Levey AS, Uhlig K: Estimating equations for glomerular filtration rate in the era of creatinine standardization: a systematic review. Ann Intern Med 2012, 156:785-795.
  • [24]Dharnidharka VR, Kwon C, Stevens G: Serum cystatin C is superior to serum creatinine as a marker of kidney function: a meta-analysis. Am J Kidney Dis 2002, 40(2):221-226.
  • [25]Laterza OF, Price CP, Scott MG: Cystatin C: an improved estimator of glomerular filtration rate? Clin Chem 2002, 48(5):699-707.
  • [26]Inker LA, Schmid CH, Tighiouart H, Eckfeldt JH, Feldman HI, Greene T, Kusek JW, Manzi J, Van Lente F, Zhang YL, et al.: A new equation to estimate glomerular filtration rate from standardized creatinine and cystatin C. N Engl J Med 2012, 367(1):20-29.
  • [27]Kilbride HS, Stevens PE, Eaglestone G, Knight S, Carter JL, Delaney MP, Farmer CK, Irving J, O’Riordan SE, Dalton RN, et al.: 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 2013, 61(1):57-66.
  • [28]Schaeffner ES, Ebert N, Delanaye P, Frei U, Gaedeke J, Jakob O, Kuhlmann MK, Schuchardt M, Tolle M, Ziebig R, et al.: Two novel equations to estimate kidney function in persons aged 70 years or older. Ann Intern Med 2012, 157(7):471-481.
  • [29]Lewis J, Agodoa L, Cheek D, Greene T, Middleton J, O’Connor D, Ojo A, Phillips R, Sika M, Wright J Jr: Comparison of cross-sectional renal function measurements in African Americans with hypertensive nephrosclerosis and of primary formulas to estimate glomerular filtration rate. Am J Kidney Dis 2001, 38(4):744-753.
  • [30]Ma YC, Zuo L, Chen JH, Luo Q, Yu XQ, Li Y, Xu JS, Huang SM, Wang LN, Huang W, et al.: Modified glomerular filtration rate estimating equation for Chinese patients with chronic kidney disease. J Am Soc Nephrol 2006, 17(10):2937-2944.
  • [31]Matsuo S, Imai E, Horio M, Yasuda Y, Tomita K, Nitta K, Yamagata K, Tomino Y, Yokoyama H, Hishida A: Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis 2009, 53(6):982-992.
  • [32]Horio M, Imai E, Yasuda Y, Watanabe T, Matsuo S: Modification of the CKD epidemiology collaboration (CKD-EPI) equation for Japanese: accuracy and use for population estimates. Am J Kidney Dis 2010, 56(1):32-38.
  • [33]Stevens LA, Schmid CH, Greene T, Zhang YL, Beck GJ, Froissart M, Hamm LL, Lewis JB, Mauer M, Navis GJ, et al.: 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/1.73 m2. Am J Kidney Dis 2010, 56(3):486-495.
  • [34]Teo BW, Xu H, Wang D, Li J, Sinha AK, Shuter B, Sethi S, Lee EJ: GFR estimating equations in a multiethnic Asian population. Am J Kidney Dis 2011, 58(1):56-63.
  • [35]Praditpornsilpa K, Townamchai N, Chaiwatanarat T, Tiranathanagul K, Katawatin P, Susantitaphong P, Trakarnvanich T, Kanjanabuch T, Avihingsanon Y, Tungsanga K, et al.: The need for robust validation for MDRD-based glomerular filtration rate estimation in various CKD populations. Nephrol Dial Transplant 2011, 26(9):2780-2785.
  • [36]Flamant M, Vidal-Petiot E, Metzger M, Haymann JP, Letavernier E, Delatour V, Karras A, Thervet E, Boffa JJ, Houillier P, et al.: Performance of GFR estimating equations in African Europeans: basis for a lower race-ethnicity factor than in African Americans. Am J Kidney Dis 2013, 62(1):182-184.
  • [37]Madala ND, Nkwanyana N, Dubula T, Naiker IP: Predictive performance of eGFR equations in South Africans of African and Indian ancestry compared with 99mTc-DTPA imaging. Int Urol Nephrol 2012, 44(3):847-855.
  • [38]Kidney Disease Improving Global Outcomes: Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Int 2013, 3(Suppl):1-150.
  • [39]Keith DS, Nichols GA, Gullion CM, Brown JB, Smith DH: Longitudinal follow-up and outcomes among a population with chronic kidney disease in a large managed care organization. Arch Intern Med 2004, 164(6):659-663.
  • [40]Hemmelgarn BR, Zhang J, Manns BJ, Tonelli M, Larsen E, Ghali WA, Southern DA, McLaughlin K, Mortis G, Culleton BF: Progression of kidney dysfunction in the community-dwelling elderly. Kidney Int 2006, 69(12):2155-2161.
  • [41]Ruggenenti P, Perna A, Remuzzi G: ACE inhibitors to prevent end-stage renal disease: when to start and why possibly never to stop: a post hoc analysis of the REIN trial results. Ramipril Efficacy in Nephropathy. J Am Soc Nephrol 2001, 12(12):2832-2837.
  • [42]Gall MA, Nielsen FS, Smidt UM, Parving HH: The course of kidney function in type 2 (non-insulin-dependent) diabetic patients with diabetic nephropathy. Diabetologia 1993, 36(10):1071-1078.
  • [43]MacIsaac RJ, Tsalamandris C, Panagiotopoulos S, Smith TJ, McNeil KJ, Jerums G: Nonalbuminuric renal insufficiency in type 2 diabetes. Diabetes Care 2004, 27(1):195-200.
  • [44]Parving HH, Andersen AR, Smidt UM, Hommel E, Mathiesen ER, Svendsen PA: Effect of antihypertensive treatment on kidney function in diabetic nephropathy. Br Med J (Clin Res Ed) 1987, 294(6585):1443-1447.
  • [45]Bjorck S, Nyberg G, Mulec H, Granerus G, Herlitz H, Aurell M: Beneficial effects of angiotensin converting enzyme inhibition on renal function in patients with diabetic nephropathy. Br Med J (Clin Res Ed) 1986, 293(6545):471-474.
  • [46]Hoefield RA, Kalra PA, Baker PG, Sousa I, Diggle PJ, Gibson MJ, O’Donoghue DJ, Middleton RJ, New JP: The use of eGFR and ACR to predict decline in renal function in people with diabetes. Nephrol Dial Transplant 2011, 26(3):887-892.
  • [47]Gowans EM, Fraser CG: Biological variation of serum and urine creatinine and creatinine clearance: ramifications for interpretation of results and patient care. Ann Clin Biochem 1988, 25:259-263.
  • [48]Keevil BG, Kilpatrick ES, Nichols SP, Maylor PW: Biological variation of cystatin C: implications for the assessment of glomerular filtration rate. Clin Chem 1998, 44(7):1535-1539.
  • [49]Reinhard M, Erlandsen EJ, Randers E: Biological variation of cystatin C and creatinine. Scand J Clin Lab Invest 2009, 69(8):831-836.
  • [50]Delanaye P, Cavalier E, Depas G, Chapelle JP, Krzesinski JM: New data on the intraindividual variation of cystatin C. Nephron Clin Pract 2008, 108(4):c246-248.
  • [51]Andersen TB, Erlandsen EJ, Frokiaer J, Eskild-Jensen A, Brochner-Mortensen J: Comparison of within- and between-subject variation of serum cystatin C and serum creatinine in children aged 2–13 years. Scand J Clin Lab Invest 2010, 70(1):54-59.
  • [52]Bandaranayake N, Ankrah-Tetteh T, Wijeratne S, Swaminathan R: Intra-individual variation in creatinine and cystatin C. Clin Chem Lab Med 2007, 45(9):1237-1239.
  • [53]Toffaletti JG, McDonnell EH: Variation of serum creatinine, cystatin C, and creatinine clearance tests in persons with normal renal function. Clin Chim Acta 2008, 395(1–2):115-119.
  • [54]Padala S, Tighiouart H, Inker LA, Contreras G, Beck GJ, Lewis J, Steffes M, Rodby RA, Schmid CH, Levey AS: Accuracy of a GFR estimating equation over time in people with a wide range of kidney function. Am J Kidney Dis 2012, 60(2):217-224.
  • [55]Peralta CA, Shlipak MG, Judd S, Cushman M, McClellan W, Zakai NA, Safford MM, Zhang X, Muntner P, Warnock D: Detection of chronic kidney disease with creatinine, cystatin C, and urine albumin-to-creatinine ratio and association with progression to end-stage renal disease and mortality. JAMA 2011, 305(15):1545-1552.
  • [56]British Hypertension Society: How to measure blood pressure. http://www.bhsoc.org/latest-guidelines/how-to-measure-blood-pressure/ webcite, accessed 16th December 2013
  • [57]Turin TC, Tonelli M, Manns BJ, Ravani P, Ahmed SB, Hemmelgarn BR: Chronic kidney disease and life expectancy. Nephrol Dial Transplant 2012, 27(8):3182-3186.
  • [58]Bellomo R, Ronco C, Kellum JA, Mehta RL, Palevsky P: Acute renal failure - definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group. Crit Care 2004, 8(4):R204-212. BioMed Central Full Text
  • [59]Greenberg N, Roberts WL, Bachmann LM, Wright EC, Dalton RN, Zakowski JJ, Greg Miller W: Specificity characteristics of 7 commercial creatinine measurement procedures by enzymatic and jaffe method principles. Clin Chem 2012, 58(2):391-401.
  • [60]Brochner-Mortensen J: A simple method for the determination of glomerular filtration rate. Scand J Clin Lab Invest 1972, 30(3):271-274.
  • [61]Grubb A, Blirup-Jensen S, Lindstrom V, Schmidt C, Althaus H, Zegers I: First certified reference material for cystatin C in human serum ERM-DA471/IFCC. Clin Chem Lab Med 2010, 48(11):1619-1621.
  • [62]O’Brien TE, Funk GM: A gentle introduction to optimal design for regression models. The American Statistician 2003, 57(4):265-267.
  • [63]Department of Health: National Service Framework for Renal Services. Part Two: Chronic Kidney Disease, Acute Renal Failure and End of Life Care. 2005.
  • [64]Levin A, Stevens PE: Early detection of CKD: the benefits, limitations and effects on prognosis. Nat Rev Nephrol 2011, 7(8):446-457.
  • [65]Erley CM, Bader BD, Berger ED, Vochazer A, Jorzik JJ, Dietz K, Risler T: Plasma clearance of iodine contrast media as a measure of glomerular filtration rate in critically ill patients. Crit Care Med 2001, 29(8):1544-1550.
  • [66]Schwartz GJ, Work DF: Measurement and estimation of GFR in children and adolescents. Clin J Am Soc Nephrol 2009, 4(11):1832-1843.
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