Renal function and cardiovascular events: Relevance of eGFR and albuminuria in patients with diabetes

Diabetologia

Volumn 54, Issue 1, 2011, Pages 4-6

  Delles, C ^a   Jardine, A G ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Albuminuria; Cardiovascular risk; Glomerular filtration rate

Indexed keywords

ALBUMIN; CREATININE;

ALBUMINURIA; CARDIOVASCULAR DISEASE; CARDIOVASCULAR FUNCTION; CARDIOVASCULAR RISK; CREATININE BLOOD LEVEL; DIABETIC NEPHROPATHY; DISEASE ASSOCIATION; GLOMERULUS FILTRATION RATE; HUMAN; KIDNEY FUNCTION; NON INSULIN DEPENDENT DIABETES MELLITUS; NOTE; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; RISK FACTOR;

ALBUMINURIA; CARDIOVASCULAR DISEASES; DIABETES MELLITUS, TYPE 2; GLOMERULAR FILTRATION RATE; HUMANS; RISK FACTORS;

EID: 79953784385     PISSN: 0012186X     EISSN: 14320428     Source Type: Journal    
DOI: 10.1007/s00125-010-1942-2     Document Type: Note

References (22)

1. Zimmerli LU, Mark PB, Steedman T et al (2007) Vascular function in patients with end-stage renal disease and/or coronary artery disease: a cardiac magnetic resonance imaging study. Kidney Int 71:68-73 (Pubitemid 44967736)
2. Pannier B, Guerin AP, Marchais SJ, Safar ME, London GM (2005) Stiffness of capacitive and conduit arteries: prognostic significance for end-stage renal disease patients. Hypertension 45:592-596 (Pubitemid 40411265)
3. Briet M, Bozec E, Laurent S et al (2006) Arterial stiffness and enlargement in mild-to-moderate chronic kidney disease. Kidney Int 69:350-357 (Pubitemid 43323087)
4. Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY (2004) Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351:1296-1305
5. Cockcroft DW, Gault MH (1976) Prediction of creatinine clearance from serum creatinine. Nephron 16:31-41
6. 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 130:461-470 (Pubitemid 29135798)
7. Lin J, Knight EL, Hogan ML, Singh AK (2003) A comparison of prediction equations for estimating glomerular filtration rate in adults without kidney disease. J Am Soc Nephrol 14:2573-2580 (Pubitemid 37169342)
8. Drury PL, Ting R, Zannino D et al (2010) Estimated glomerular filtration rate and albuminuria are independent predictors of cardiovascular events and mortality in type 2 diabetes mellitus: the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study. Diabetologia. doi:10.1007/s00125-010-1854-1
9. Keech A, Simes RJ, Barter P et al (2005) Effects of long-term fenofibrate therapy on cardiovascular events in 9,795 people with type 2 diabetes mellitus (the FIELD study): randomised controlled trial. Lancet 366:1849-1861
10. Anavekar NS, McMurray JJ, Velazquez EJ et al (2004) Relation between renal dysfunction and cardiovascular outcomes after myocardial infarction. N Engl J Med 351:1285-1295 (Pubitemid 39258422)
11. Dzau V, Braunwald E (1991) Resolved and unresolved issues in the prevention and treatment of coronary artery disease: a workshop consensus statement. Am Heart J 121:1244-1263
12. Mancia G, De Backer G, Dominiczak A et al (2007) 2007 Guidelines for the Management of Arterial Hypertension: The Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). J Hypertens 25:1105-1187 (Pubitemid 46924065)
13. British Cardiac Society, British Hypertension Society, Diabetes UK, HEART UK, Primary Care Cardiovascular Society, The Stroke Association (2005) JBS 2: Joint British Societies' guidelines on prevention of cardiovascular disease in clinical practice. Heart 91(Suppl 5):v1-v52
14. Williams B, Poulter NR, Brown MJ et al (2004) Guidelines for management of hypertension: report of the fourth working party of the British Hypertension Society, 2004-BHS IV. J Hum Hypertens 18:139-185 (Pubitemid 38425770)
15. American Diabetes Association (2010) Standards of medical care in diabetes-2010. Diabetes Care 33(Suppl 1):S11-S61
16. Hippisley-Cox J, Coupland C, Vinogradova Y et al (2008) Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. BMJ 336:1475-1482 (Pubitemid 351977019)
17. Shlipak MG, Sarnak MJ, Katz R et al (2005) Cystatin C and the risk of death and cardiovascular events among elderly persons. N Engl J Med 352:2049-2060 (Pubitemid 40664306)
18. Vaidya VS, Ozer JS, Dieterle F et al (2010) Kidney injury molecule-1 outperforms traditional biomarkers of kidney injury in preclinical biomarker qualification studies. Nat Biotechnol 28: 478-485
19. Dieterle F, Perentes E, Cordier A et al (2010) Urinary clusterin, cystatin C, beta2-microglobulin and total protein as markers to detect drug-induced kidney injury. Nat Biotechnol 28:463-469
20. Jantos-Siwy J, Schiffer E, Brand K et al (2009) Quantitative urinary proteome analysis for biomarker evaluation in chronic kidney disease. J Proteome Res 8:268-281
21. Mischak H, Rossing P (2010) Proteomic biomarkers in diabetic nephropathy - reality or future promise? Nephrol Dial Transplant 25:2843-2845
22. Delles C, Klingbeil AU, Schneider MP, Handrock R, Weidinger G, Schmieder RE (2003) Direct comparison of the effects of valsartan and amlodipine on renal hemodynamics in human essential hypertension. Am J Hypertens 16:1030-1035 (Pubitemid 37500798)