Literature DB >> 25210206

Estimated Glomerular Filtration Rate versus Albuminuria in the Assessment of Kidney Function: What's More Important?

Kevan R Polkinghorne1.   

Abstract

Clinical practice guidelines state that any evaluation of kidney disease requires the assessment of (1) kidney function in the form of the estimated glomerular filtration rate (eGFR) and (2) kidney damage by a quantitative assessment of proteinuria, preferably by the determination of the urine albumin-to-creatinine ratio. This review discusses the relative merits of each measurement, focusing on the strengths of each measurement in relationship to all-cause and cardiovascular mortality risk prediction as well as the prediction of kidney disease progression with loss of kidney function over time and the progression to end-stage kidney disease treated by dialysis or kidney transplantation.

Entities:  

Year:  2014        PMID: 25210206      PMCID: PMC4159781     

Source DB:  PubMed          Journal:  Clin Biochem Rev        ISSN: 0159-8090


  30 in total

1.  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

2.  Routine reporting of estimated glomerular filtration rate: not ready for prime time.

Authors:  Richard J Glassock; Christopher G Winearls
Journal:  Nat Clin Pract Nephrol       Date:  2008-07-01

3.  Development and progression of nephropathy in type 2 diabetes: the United Kingdom Prospective Diabetes Study (UKPDS 64).

Authors:  Amanda I Adler; Richard J Stevens; Sue E Manley; Rudy W Bilous; Carole A Cull; Rury R Holman
Journal:  Kidney Int       Date:  2003-01       Impact factor: 10.612

4.  A predictive model for progression of chronic kidney disease to kidney failure.

Authors:  Navdeep Tangri; Lesley A Stevens; John Griffith; Hocine Tighiouart; Ognjenka Djurdjev; David Naimark; Adeera Levin; Andrew S Levey
Journal:  JAMA       Date:  2011-04-11       Impact factor: 56.272

5.  Using proteinuria and estimated glomerular filtration rate to classify risk in patients with chronic kidney disease: a cohort study.

Authors:  Marcello Tonelli; Paul Muntner; Anita Lloyd; Braden J Manns; Matthew T James; Scott Klarenbach; Robert R Quinn; Natasha Wiebe; Brenda R Hemmelgarn
Journal:  Ann Intern Med       Date:  2011-01-04       Impact factor: 25.391

6.  Cystatin C versus creatinine in determining risk based on kidney function.

Authors:  Michael G Shlipak; Kunihiro Matsushita; Johan Ärnlöv; Lesley A Inker; Ronit Katz; Kevan R Polkinghorne; Dietrich Rothenbacher; Mark J Sarnak; Brad C Astor; Josef Coresh; Andrew S Levey; Ron T Gansevoort
Journal:  N Engl J Med       Date:  2013-09-05       Impact factor: 91.245

7.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

8.  Relation between kidney function, proteinuria, and adverse outcomes.

Authors:  Brenda R Hemmelgarn; Braden J Manns; Anita Lloyd; Matthew T James; Scott Klarenbach; Robert R Quinn; Natasha Wiebe; Marcello Tonelli
Journal:  JAMA       Date:  2010-02-03       Impact factor: 56.272

9.  A simple algorithm to predict incident kidney disease.

Authors:  Abhijit V Kshirsagar; Heejung Bang; Andrew S Bomback; Suma Vupputuri; David A Shoham; Lisa M Kern; Philip J Klemmer; Madhu Mazumdar; Phyllis A August
Journal:  Arch Intern Med       Date:  2008-12-08

10.  Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate.

Authors:  Kunihiro Matsushita; Bakhtawar K Mahmoodi; Mark Woodward; Jonathan R Emberson; Tazeen H Jafar; Sun Ha Jee; Kevan R Polkinghorne; Anoop Shankar; David H Smith; Marcello Tonelli; David G Warnock; Chi-Pang Wen; Josef Coresh; Ron T Gansevoort; Brenda R Hemmelgarn; Andrew S Levey
Journal:  JAMA       Date:  2012-05-09       Impact factor: 56.272

View more
  5 in total

1.  Urine albumin-to-creatinine ratio is associated with the severity of liver disease, renal function and survival in patients with decompensated cirrhosis.

Authors:  Evangelos Cholongitas; Ioannis Goulis; Maria Ioannidou; Stergios Soulaidopoulos; Parthenis Chalevas; Evangelos Akriviadis
Journal:  Hepatol Int       Date:  2016-08-30       Impact factor: 6.047

Review 2.  Economic Modelling of Chronic Kidney Disease: A Systematic Literature Review to Inform Conceptual Model Design.

Authors:  Daniel M Sugrue; Thomas Ward; Sukhvir Rai; Phil McEwan; Heleen G M van Haalen
Journal:  Pharmacoeconomics       Date:  2019-12       Impact factor: 4.981

Review 3.  Burden of Chronic Kidney Disease by KDIGO Categories of Glomerular Filtration Rate and Albuminuria: A Systematic Review.

Authors:  Molly Murton; Danielle Goff-Leggett; Anna Bobrowska; Juan Jose Garcia Sanchez; Glen James; Eric Wittbrodt; Stephen Nolan; Elisabeth Sörstadius; Roberto Pecoits-Filho; Katherine Tuttle
Journal:  Adv Ther       Date:  2020-11-24       Impact factor: 3.845

4.  Low Adherence to Kidney Disease: Improving Global Outcomes 2012 CKD Clinical Practice Guidelines Despite Clear Evidence of Utility.

Authors:  Glen James; Juan Jose Garcia Sanchez; Juan Jesus Carrero; Supriya Kumar; Roberto Pecoits-Filho; Hiddo J L Heerspink; Stephen Nolan; Carolyn S P Lam; Hungta Chen; Eiichiro Kanda; Naoki Kashihara; Matthew Arnold; Mikhail N Kosiborod; Mitja Lainscak; Carol Pollock; David C Wheeler
Journal:  Kidney Int Rep       Date:  2022-06-08

5.  The epidemiology of chronic kidney disease and the association with non-communicable and communicable disorders in a population of sub-Saharan Africa.

Authors:  Nikolai C Hodel; Ali Hamad; Claudia Praehauser; Grace Mwangoka; Irene Mndala Kasella; Klaus Reither; Salim Abdulla; Christoph F R Hatz; Michael Mayr
Journal:  PLoS One       Date:  2018-10-31       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.