Literature DB >> 21712852

Early detection of CKD: the benefits, limitations and effects on prognosis.

Adeera Levin1, Paul E Stevens.   

Abstract

The past decade has seen an increasing focus on chronic kidney disease (CKD) and its attendant complications, which has resulted in improved understanding of their impact on health-care resources. The early detection of CKD has been facilitated by the implementation of routine reporting of estimated glomerular filtration rates (eGFRs) and by education of primary care physicians on the implications of detecting a decreased eGFR with respect to patient safety as well as to cardiovascular and renal outcomes. The goals of early CKD detection are to prevent CKD progression and associated complications, thus improving patient outcomes and reducing the impact of CKD on health-care resources. This Review examines the benefits of the early detection of CKD, and describes the limitations of current knowledge with respect to screening, early detection and treatment, as well as the unintended consequences of detection. In addition, this article highlights what is currently known about cardiovascular and renal outcomes and the effects of intervention in patients with CKD.

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Mesh:

Year:  2011        PMID: 21712852     DOI: 10.1038/nrneph.2011.86

Source DB:  PubMed          Journal:  Nat Rev Nephrol        ISSN: 1759-5061            Impact factor:   28.314


  113 in total

Review 1.  Diagnosing chronic kidney disease.

Authors:  Richard J Glassock; Christopher Winearls
Journal:  Curr Opin Nephrol Hypertens       Date:  2010-03       Impact factor: 2.894

Review 2.  Clinical epidemiology of cardiovascular disease in chronic renal disease.

Authors:  R N Foley; P S Parfrey; M J Sarnak
Journal:  Am J Kidney Dis       Date:  1998-11       Impact factor: 8.860

Review 3.  Early recognition and prevention of chronic kidney disease.

Authors:  Matthew T James; Brenda R Hemmelgarn; Marcello Tonelli
Journal:  Lancet       Date:  2010-04-10       Impact factor: 79.321

4.  Results from post-hoc analyses of the CIBIS II trial: effect of bisoprolol in high-risk patient groups with chronic heart failure.

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Journal:  Eur J Heart Fail       Date:  2001-08       Impact factor: 15.534

5.  Acute renal failure in patients with sepsis in a surgical ICU: predictive factors, incidence, comorbidity, and outcome.

Authors:  Eric A J Hoste; Norbert H Lameire; Raymond C Vanholder; Dominique D Benoit; Johan M A Decruyenaere; Francis A Colardyn
Journal:  J Am Soc Nephrol       Date:  2003-04       Impact factor: 10.121

6.  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

7.  Acute renal failure in critically ill patients: a multinational, multicenter study.

Authors:  Shigehiko Uchino; John A Kellum; Rinaldo Bellomo; Gordon S Doig; Hiroshi Morimatsu; Stanislao Morgera; Miet Schetz; Ian Tan; Catherine Bouman; Ettiene Macedo; Noel Gibney; Ashita Tolwani; Claudio Ronco
Journal:  JAMA       Date:  2005-08-17       Impact factor: 56.272

8.  Prediction of ESRD and death among people with CKD: the Chronic Renal Impairment in Birmingham (CRIB) prospective cohort study.

Authors:  Martin J Landray; Jonathan R Emberson; Lisa Blackwell; Tanaji Dasgupta; Rosita Zakeri; Matthew D Morgan; Charlie J Ferro; Susan Vickery; Puja Ayrton; Devaki Nair; R Neil Dalton; Edmund J Lamb; Colin Baigent; Jonathan N Townend; David C Wheeler
Journal:  Am J Kidney Dis       Date:  2010-10-30       Impact factor: 8.860

9.  Relationship between nephrologist care and progression of chronic kidney disease.

Authors:  Lori A Orlando; William F Owen; David B Matchar
Journal:  N C Med J       Date:  2007 Jan-Feb

10.  The impact of automated eGFR reporting and education on nephrology service referrals.

Authors:  Euan Noble; David W Johnson; Nicholas Gray; Peter Hollett; Carmel M Hawley; Scott B Campbell; David W Mudge; Nicole M Isbel
Journal:  Nephrol Dial Transplant       Date:  2008-07-16       Impact factor: 5.992

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  24 in total

1.  Recovery from AKI in the critically ill: potential confounders in the evaluation.

Authors:  M Schetz; J Gunst; G De Vlieger; G Van den Berghe
Journal:  Intensive Care Med       Date:  2015-07-09       Impact factor: 17.440

2.  Recognition of CKD after the introduction of automated reporting of estimated GFR in the Veterans Health Administration.

Authors:  Virginia Wang; Matthew L Maciejewski; Bradley G Hammill; Rasheeda K Hall; Lynn Van Scoyoc; Amit X Garg; Arsh K Jain; Uptal D Patel
Journal:  Clin J Am Soc Nephrol       Date:  2013-10-31       Impact factor: 8.237

3.  Normalisation of urinary biomarkers to creatinine for clinical practice and research--when and why.

Authors:  Kai Wen Aaron Tang; Qi Chun Toh; Boon Wee Teo
Journal:  Singapore Med J       Date:  2015-01       Impact factor: 1.858

4.  A nephrologist should be consulted in all cases of acute kidney injury in the ICU: We are not sure.

Authors:  Miet Schetz; Matthieu Legrand
Journal:  Intensive Care Med       Date:  2017-05-22       Impact factor: 17.440

5.  Predicting outcomes of chronic kidney disease from EMR data based on Random Forest Regression.

Authors:  Jing Zhao; Shaopeng Gu; Adam McDermaid
Journal:  Math Biosci       Date:  2019-02-12       Impact factor: 2.144

6.  The impact of using estimated GFR versus creatinine clearance on the evaluation of recovery from acute kidney injury in the ICU.

Authors:  M Schetz; J Gunst; G Van den Berghe
Journal:  Intensive Care Med       Date:  2014-09-30       Impact factor: 17.440

Review 7.  Early chronic kidney disease: diagnosis, management and models of care.

Authors:  Olivier J Wouters; Donal J O'Donoghue; James Ritchie; Panos G Kanavos; Andrew S Narva
Journal:  Nat Rev Nephrol       Date:  2015-06-09       Impact factor: 28.314

8.  Impact of automated reporting of estimated glomerular filtration rate in the veterans health administration.

Authors:  Virginia Wang; Bradley G Hammill; Matthew L Maciejewski; Rasheeda K Hall; Lynn Van Scoyoc; Amit X Garg; Arsh K Jain; Uptal D Patel
Journal:  Med Care       Date:  2015-02       Impact factor: 2.983

9.  Troponin T and N-terminal pro-B-type natriuretic peptide: a biomarker approach to predict heart failure risk--the atherosclerosis risk in communities study.

Authors:  Vijay Nambi; Xiaoxi Liu; Lloyd E Chambless; James A de Lemos; Salim S Virani; Sunil Agarwal; Eric Boerwinkle; Ron C Hoogeveen; David Aguilar; Brad C Astor; Pothur R Srinivas; Anita Deswal; Thomas H Mosley; Josef Coresh; Aaron R Folsom; Gerardo Heiss; Christie M Ballantyne
Journal:  Clin Chem       Date:  2013-09-13       Impact factor: 8.327

10.  Implementation of automated reporting of estimated glomerular filtration rate among Veterans Affairs laboratories: a retrospective study.

Authors:  Rasheeda K Hall; Virginia Wang; George L Jackson; Bradley G Hammill; Matthew L Maciejewski; Elizabeth M Yano; Laura P Svetkey; Uptal D Patel
Journal:  BMC Med Inform Decis Mak       Date:  2012-07-12       Impact factor: 2.796

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