Literature DB >> 19242501

Dissecting and refining the staging of chronic kidney disease.

Christopher G Winearls1, Richard J Glassock.   

Abstract

The current Kidney Disease Outcomes Quality Initiative (KDOQI) staging system of chronic kidney disease (CKD) is simple but too rigid to accommodate variations in renal function observed in the general population. The formula most commonly used to estimate renal function is not validated in subjects without a priori evidence of renal disease. Their combined use results in inappropriate diagnosis of CKD and improbable estimates of prevalence rates. Although this initiative has raised the profile of kidney disease, the exaggeration of the scope of the problem could distract nephrologists from their specialist role. The nephrology community needs a revised staging system for CKD that allows accurate, effective, and timely communication with patients, primary care doctors, public health physicians, and policy makers. Its single most important function will be to identify those patients who will benefit from targeted screening and effective and safe interventions. We offer for discussion a modified definition and staging system of CKD based on the presence of unequivocal, irreversible structural kidney disease, the presence or degree of impairment of kidney function, and the consequences thereof.

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Year:  2009        PMID: 19242501     DOI: 10.1038/ki.2009.49

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  33 in total

1.  The association between age and nephrosclerosis on renal biopsy among healthy adults.

Authors:  Andrew D Rule; Hatem Amer; Lynn D Cornell; Sandra J Taler; Fernando G Cosio; Walter K Kremers; Stephen C Textor; Mark D Stegall
Journal:  Ann Intern Med       Date:  2010-05-04       Impact factor: 25.391

2.  Chronic kidney disease epidemic: myth and reality.

Authors:  Filippo Mangione; Antonio Dal Canton
Journal:  Intern Emerg Med       Date:  2011-10       Impact factor: 3.397

3.  Estimating GFR using the CKD Epidemiology Collaboration (CKD-EPI) creatinine equation: more accurate GFR estimates, lower CKD prevalence estimates, and better risk predictions.

Authors:  Andrew S Levey; Lesley A Stevens
Journal:  Am J Kidney Dis       Date:  2010-04       Impact factor: 8.860

4.  Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts.

Authors:  Ron T Gansevoort; Kunihiro Matsushita; Marije van der Velde; Brad C Astor; Mark Woodward; Andrew S Levey; Paul E de Jong; Josef Coresh
Journal:  Kidney Int       Date:  2011-02-02       Impact factor: 10.612

5.  Early assessment of chronic kidney dysfunction using contrast-enhanced ultrasound: a pilot study.

Authors:  Y Dong; W-P Wang; J Cao; P Fan; X Lin
Journal:  Br J Radiol       Date:  2014-07-25       Impact factor: 3.039

6.  Chronic kidney disease: the CKD-EPI equation to estimate GFR-better alchemy?

Authors:  Christopher G Winearls; Edmund J Lamb
Journal:  Nat Rev Nephrol       Date:  2011-02-01       Impact factor: 28.314

7.  Controversies in chronic kidney disease staging.

Authors:  Kevan R Polkinghorne
Journal:  Clin Biochem Rev       Date:  2011-05

8.  Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis.

Authors:  Kunihiro Matsushita; Marije van der Velde; Brad C Astor; Mark Woodward; Andrew S Levey; Paul E de Jong; Josef Coresh; Ron T Gansevoort
Journal:  Lancet       Date:  2010-05-17       Impact factor: 79.321

9.  Chapter 1: Definition and classification of CKD.

Authors: 
Journal:  Kidney Int Suppl (2011)       Date:  2013-01

Review 10.  Renal dysfunction in chronic liver disease.

Authors:  Andy Slack; Andrew Yeoman; Julia Wendon
Journal:  Crit Care       Date:  2010-03-09       Impact factor: 9.097

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