Higher estimated glomerular filtration rates may be associated with increased risk of adverse outcomes, especially with concomitant proteinuria

Kidney International

Volumn 80, Issue 12, 2011, Pages 1306-1314

  Tonelli, Marcello ^a   Klarenbach, Scott W ^a   Lloyd, Anita M ^a   James, Matthew T ^b,c   Bello, Aminu K ^a   Manns, Braden J ^b,c   Hemmelgarn, Brenda R ^b,c  

^a UNIVERSITY OF ALBERTA   (Canada)

^b UNIVERSITY OF CALGARY   (Canada)

^c UNIVERSITY OF CALGARY   (Canada)

Author keywords

diabetes; estimated glomerular filtration rate; mortality

Indexed keywords

CREATININE;

ADULT; ARTICLE; COMORBIDITY; CONTROLLED STUDY; CREATININE BLOOD LEVEL; CREATININE CLEARANCE; DISEASE SEVERITY; FEMALE; GLOMERULUS FILTRATION RATE; HEALTH INSURANCE; HEART INFARCTION; HUMAN; KIDNEY DISEASE; KIDNEY FUNCTION; LIFESTYLE MODIFICATION; MAJOR CLINICAL STUDY; MALE; MORTALITY; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PROTEINURIA; RENAL REPLACEMENT THERAPY; RISK ASSESSMENT; STROKE;

EID: 82455210861     PISSN: 00852538     EISSN: 15231755     Source Type: Journal    
DOI: 10.1038/ki.2011.280     Document Type: Article

References (28)

1. Hemmelgarn BR, Manns BJ, Lloyd A et al. Relation between kidney function, proteinuria, and adverse outcomes. JAMA 2010; 303: 423-429.
2. Mogensen CE. Twelve shifting paradigms in diabetic renal disease and hypertension. Diabetes Res Clin Pract 2008; 82(Suppl 1): S2-S9.
3. James MT, Quan H, Tonelli M et al. CKD and risk of hospitalization and death with pneumonia. Am J Kidney Dis 2009; 54: 24-32.
4. Ix JH, de Boer IH, Wassel CL et al. Urinary creatinine excretion rate and mortality in persons with coronary artery disease: the Heart and Soul Study. Circulation 2010; 121: 1295-1303.
5. Groop PH, Thomas MC, Moran JL et al. The presence and severity of chronic kidney disease predicts all-cause mortality in type 1 diabetes. Diabetes 2009; 58: 1651-1658.
6. Amin R, Turner C, van Aken S et al. The relationship between microalbuminuria and glomerular filtration rate in young type 1 diabetic subjects: The Oxford Regional Prospective Study. Kidney Int 2005; 68: 1740-1749.
7. Rossing P, Hougaard P, Borch-Johnsen K et al. Predictors of mortality in insulin dependent diabetes: 10 year observational follow up study. BMJ 1996; 313: 779-784.
8. Silveiro SP, Friedman R, de Azevedo MJ et al. Five-year prospective study of glomerular filtration rate and albumin excretion rate in normofiltering and hyperfiltering normoalbuminuric NIDDM patients. Diabetes Care 1996; 19: 171-174.
9. Vedel P, Obel J, Nielsen FS et al. Glomerular hyperfiltration in microalbuminuric NIDDM patients. Diabetologia 1996; 39: 1584-1589.
10. Caramori ML, Fioretto P, Mauer M. Enhancing the predictive value of urinary albumin for diabetic nephropathy. J Am Soc Nephrol 2006; 17: 339-352.
11. Chronic Kidney Disease Prognosis C, Matsushita K, van der Velde M et al. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet 2010; 375: 2073-2081.
12. Chobanian AV, Bakris GL, Black HR et al. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA 2003; 289: 2560-2572.
13. Lamb EJ, MacKenzie F, Stevens PE. How should proteinuria be detected and measured? Ann Clin Biochem 2009; 46: 205-217.
14. Feest TG, Round A, Hamad S. Incidence of severe acute renal failure in adults: results of a community based study. BMJ 1993; 306: 481-483.
15. Coca SG, Yusuf B, Shlipak MG et al. Long-term risk of mortality and other adverse outcomes after acute kidney injury: a systematic review and meta-analysis. Am J Kidney Dis 2009; 53: 961-973.
16. Shlipak MG, Katz R, Sarnak MJ et al. Cystatin C and prognosis for cardiovascular and kidney outcomes in elderly persons without chronic kidney disease. Ann Intern Med 2006; 145: 237-246.
17. Hemmelgarn BR, Clement F, Manns BJ et al. Overview of the Alberta Kidney Disease Network. BMC Nephrol 2009; 10: 30.
18. Manns BJ, Mortis GP, Taub KJ et al. The Southern Alberta Renal Program database: a prototype for patient management and research initiatives. Clin Invest Med 2001; 24: 164-170.
19. Levey AS, Stevens LA, Schmid CH et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009; 150: 604-612.
20. Sin DD, Svenson LW, Cowie RL et al. Can universal access to health care eliminate health inequities between children of poor and nonpoor families?: A case study of childhood asthma in Alberta. Chest 2003; 124: 51-56.
21. Hux JE, Ivis F, Flintoft V et al. Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care 2002; 25: 512-516.
22. Quan H, Khan N, Hemmelgarn BR et al. Validation of a case definition to define hypertension using administrative data. Hypertension 2009; 54: 1423-1428.
23. Quan H, Sundararajan V, Halfon P et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care 2005; 43: 1130-1139.
24. Austin PC, Daly PA, Tu JV. A multicenter study of the coding accuracy of hospital discharge administrative data for patients admitted to cardiac care units in Ontario. Am Heart J 2002; 144: 290-296.
25. Kokotailo RA, Hill MD. Coding of stroke and stroke risk factors using international classification of diseases, revisions 9 and 10. Stroke 2005; 36: 1776-1781.
26. Manns BJ, Mortis GP, Taub KJ et al. The Southern Alberta Renal Program database: a prototype for patient management and research initiatives. Clin Invest Med 2001; 24: 164-170.
27. Altman D. Practical Statistics for Medical Research (Statistics texts). Chapman & Hall/CRC, London, UK, 1990.
28. Alberta Health and Wellness. Alberta health care insurance plan/premiums and rates. http://www.health.alberta.ca/AHCIP/premiumsubsidy.html (accessed 2 May 2008).