Evaluation of chronic kidney disease epidemiology collaboration equation to estimate glomerular filtration rate in scleroderma patients

Rheumatology (United Kingdom)

Volumn 51, Issue 8, 2012, Pages 1426-1431

  Gigante, Antonietta ^a   Rosato, Edoardo ^b   Massa, Rita ^a   Rossi, Carmelina ^b   Barbano, Biagio ^a   Cianci, Rosario ^a   Molinaro, Ilenia ^b   Amoroso, Antonio ^a   Salsano, Felice ^b  

^a Division of Nephrology ^*  (Italy)

^b Department of Clinical Medicine   (Italy)

Author keywords

CKD EPI; Cockroft Gault; Glomerular filtration rate; MDRD equation; Systemic sclerosis

Indexed keywords

CREATININE; PENTETATE TECHNETIUM TC 99M;

ADULT; AGED; ARTICLE; CHRONIC KIDNEY DISEASE; CLINICAL ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; CREATININE BLOOD LEVEL; DISEASE DURATION; EVALUATION; FEMALE; GLOMERULUS FILTRATION RATE; HUMAN; MALE; PRIORITY JOURNAL; SCLERODERMA;

ADULT; AGED; CREATININE; FEMALE; GLOMERULAR FILTRATION RATE; HUMANS; KIDNEY FAILURE, CHRONIC; MALE; MIDDLE AGED; SCLERODERMA, SYSTEMIC; STATISTICS AS TOPIC; TECHNETIUM TC 99M PENTETATE; YOUNG ADULT;

EID: 84865178095     PISSN: 14620324     EISSN: 14620332     Source Type: Journal    
DOI: 10.1093/rheumatology/kes049     Document Type: Article

References (26)

1. Shanmugam VK, Steen VD. Renal manifestations in scleroderma: evidence for subclinical renal disease as a marker of vasculopathy. Int J Rheumatol 2010, Epub 2010 August 17. doi:10.1155/2010/538589.
2. Siva B, McDonald SP, Hawley CM et al. End-stage kidney disease due to scleroderma-outcomes in 127 consecutive ANZDATA registry cases. Nephrol Dial Transplant 2011;28:1-6.
3. Steen VD, Syzd A, Johnson JP et al. Kidney disease other than renal crisis in patients with diffuse scleroderma. J Rheumatol 2005;32:649-55.
4. Kingdon EJ, Knight CJ, Dustan K et al. Calculated glomerular filtration rate is a useful screening tool to identify scleroderma patients with renal impairment. Rheumatology 2003;42:26-33.
5. Florkowski CM, Chew-Harris JS. Methods of estimating GFR-different equations including CKD-EPI. Clin Biochem Rev 2011;32:75-9.
6. Campbell PM, LeRoy EC. Pathogenesis of systemic sclerosis: a vascular hypothesis. Semin Arthritis Rheum 1975;4:351-68.
7. LeRoy EC, Black C, Fleischmajer R et al. Scleroderma (systemic sclerosis): classification, subsets and pathogenesis. J Rheumatol 1998;15:202-5.
8. Wetzels JF, Kiemeney LA, Swinkels DW et al. Age- and gender specific reference values of estimated GFR in Caucasians: the Nijmegen Biomedical Study. Kidney Int 2007;72:632-7.
9. Du Bois D, Du Bois EF. A formula to estimate the approximate surface area if height and weight be known. Arch Intern Med 1916;17:863-71.
10. Wetzels JF, Willems HL, den Heijer M. Age- and gender-specific reference values of population: results of the Nijmegen Biomedical Study. Kidney Int 2008;73: 657-8.
11. Levey AS, Bosch JP, Lewis JB et al. 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: 461-70.
12. Levey AS, Stevens LA, Schmid CH et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009; 150:604-12.
13. Gates GF. Glomerular filtration rate: estimation from fractional renal accumulation of 99mTc-DTPA (stannous). Am J Roentgenol 1982;138:565-70.
14. Reem HA, Hania SZ, Amr A. Renal disease in systemic sclerosis with normal serum creatinine. Clin Rheumatol 2010;29:729-37.
15. Scheja A, Bartosik I, Wuttge DM et al. Renal function is mostly preserved in patients with systemic sclerosis. Scand J Rheumatol 2009;38:295-8.
16. Trostle DC, Bedetti CD, Steen VD et al. Renal vascular histology and morphometry in systemic sclerosis. A case-control autopsy study. Arthritis Rheum 1988;31: 393-400.
17. Lee S, Lee S, Sharma K. The pathogenesis of fibrosis and renal disease in scleroderma: recent insights from glomerulosclerosis. Curr Rheumatol Rep 2004;6:141-8.
18. National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 2002;39: S1-266.
19. Cockroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron 1976;16:31-41.
20. Stevens LA, Schmid CH, Greene T 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; 56:486-95.
21. Delanaye P, Cavalier E, Mariat C et al. MDRD or CKD-EPI study equations for estimating prevalence of stage 3 CKD in epidemiological studies: which difference? Is this difference relevant BMC Nephrol 2010;11:8.
22. van den Brand JA, van Boekel GA, Willems HL et al. Introduction of the CKD-EPI equation to estimate glomerular filtration rate in a Caucasian population. Nephrol Dial Transplant 2011;26:3176-8.
23. Eastwood JB, Kerry SM, Plange-Rhule J et al. Assessment of GFR by four methods in adults in Ashanti, Ghana: the need for an eGFR equation for lean African populations. Nephrol Dial Transplant 2010;25:2178-87.
24. Teo BW, Xu H, Wang D et al. GFR estimating equations in a multiethnic Asian population. Am J Kidney Dis 2011;58: 56-63.
25. Praditpornsilpa K, Townamchai N, Chawatanarat T et al. The need for robust validation for MDRD-based glomerular filtration rate estimation in various CKD populations. Nephrol Dial Transplant 2011;26:2780-5.
26. Pugliese G, Solini A, Bonora E et al. The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation provides a better definition of cardiovascular burden associated with CKD than the Modification of Diet in Renal Disease (MDRD) Study formula in subjects with type 2 diabetes. Atherosclerosis 2011;218:194-9.