Literature DB >> 21482744

Detection of chronic kidney disease with creatinine, cystatin C, and urine albumin-to-creatinine ratio and association with progression to end-stage renal disease and mortality.

Carmen A Peralta1, Michael G Shlipak, Suzanne Judd, Mary Cushman, William McClellan, Neil A Zakai, Monika M Safford, Xiao Zhang, Paul Muntner, David Warnock.   

Abstract

CONTEXT: A triple-marker approach for chronic kidney disease (CKD) evaluation has not been well studied.
OBJECTIVE: To evaluate whether combining creatinine, cystatin C, and urine albumin-to-creatinine ratio (ACR) would improve identification of risks associated with CKD compared with creatinine alone. DESIGN, SETTING, AND PARTICIPANTS: Prospective cohort study involving 26,643 US adults enrolled in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study from January 2003 to June 2010. Participants were categorized into 8 groups defined by estimated glomerular filtration rate (GFR) determined by creatinine and by cystatin C of either <60 or ≥60 mL/min/1.73 m(2) and ACR of either <30 or ≥30 mg/g. MAIN OUTCOME MEASURES: All-cause mortality and incident end-stage renal disease with median follow-up of 4.6 years.
RESULTS: Participants had a mean age of 65 years, 40% were black, and 54% were women. Of 26,643 participants, 1940 died and 177 developed end-stage renal disease. Among participants without CKD defined by creatinine, 24% did not have CKD by either ACR or cystatin C. Compared with those with CKD defined by creatinine alone, the hazard ratio for death in multivariable-adjusted models was 3.3 (95% confidence interval [CI], 2.0-5.6) for participants with CKD defined by creatinine and ACR; 3.2 (95% CI, 2.2-4.7) for those with CKD defined by creatinine and cystatin C, and 5.6 (95% CI, 3.9-8.2) for those with CKD defined by all biomarkers. Among participants without CKD defined by creatinine, 3863 (16%) had CKD detected by ACR or cystatin C. Compared with participants who did not have CKD by any measure, the HRs for mortality were 1.7 (95% CI, 1.4-1.9) for participants with CKD defined by ACR alone, 2.2 (95% CI, 1.9-2.7) for participants with CKD defined by cystatin C alone, and 3.0 (95% CI, 2.4-3.7) for participants with CKD defined by both measures. Risk of incident end-stage renal disease was higher among those with CKD defined by all markers (34.1 per 1000 person-years; 95% CI, 28.7-40.5 vs 0.33 per 1000 person-years; 95% CI, 0.05-2.3) for those with CKD defined by creatinine alone. The second highest end-stage renal disease rate was among persons missed by the creatinine measure but detected by both ACR and cystatin C (rate per 1000 person-years, 6.4; 95% CI, 3.6-11.3). Net reclassification improvement for death was 13.3% (P < .001) and for end-stage renal disease was 6.4% (P < .001) after adding estimated GFR cystatin C in fully adjusted models with estimated GFR creatinine and ACR.
CONCLUSION: Adding cystatin C to the combination of creatinine and ACR measures improved the predictive accuracy for all-cause mortality and end-stage renal disease.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21482744      PMCID: PMC3697771          DOI: 10.1001/jama.2011.468

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  32 in total

1.  K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification.

Authors: 
Journal:  Am J Kidney Dis       Date:  2002-02       Impact factor: 8.860

2.  Nephropathy in diabetes.

Authors:  Mark E Molitch; Ralph A DeFronzo; Marion J Franz; William F Keane; Carl Erik Mogensen; Hans-Henrik Parving; Michael W Steffes
Journal:  Diabetes Care       Date:  2004-01       Impact factor: 19.112

3.  Assessing kidney function--measured and estimated glomerular filtration rate.

Authors:  Lesley A Stevens; Josef Coresh; Tom Greene; Andrew S Levey
Journal:  N Engl J Med       Date:  2006-06-08       Impact factor: 91.245

4.  The reasons for geographic and racial differences in stroke study: objectives and design.

Authors:  Virginia J Howard; Mary Cushman; Leavonne Pulley; Camilo R Gomez; Rodney C Go; Ronald J Prineas; Andra Graham; Claudia S Moy; George Howard
Journal:  Neuroepidemiology       Date:  2005-06-29       Impact factor: 3.282

5.  Effect of blood pressure lowering and antihypertensive drug class on progression of hypertensive kidney disease: results from the AASK trial.

Authors:  Jackson T Wright; George Bakris; Tom Greene; Larry Y Agodoa; Lawrence J Appel; Jeanne Charleston; DeAnna Cheek; Janice G Douglas-Baltimore; Jennifer Gassman; Richard Glassock; Lee Hebert; Kenneth Jamerson; Julia Lewis; Robert A Phillips; Robert D Toto; John P Middleton; Stephen G Rostand
Journal:  JAMA       Date:  2002-11-20       Impact factor: 56.272

6.  Cystatin C and the risk of death and cardiovascular events among elderly persons.

Authors:  Michael G Shlipak; Mark J Sarnak; Ronit Katz; Linda F Fried; Stephen L Seliger; Anne B Newman; David S Siscovick; Catherine Stehman-Breen
Journal:  N Engl J Med       Date:  2005-05-19       Impact factor: 91.245

7.  The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report.

Authors:  Andrew S Levey; Paul E de Jong; Josef Coresh; Meguid El Nahas; Brad C Astor; Kunihiro Matsushita; Ron T Gansevoort; Bertram L Kasiske; Kai-Uwe Eckardt
Journal:  Kidney Int       Date:  2010-12-08       Impact factor: 10.612

8.  Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization.

Authors:  Alan S Go; Glenn M Chertow; Dongjie Fan; Charles E McCulloch; Chi-yuan Hsu
Journal:  N Engl J Med       Date:  2004-09-23       Impact factor: 91.245

Review 9.  Staging of chronic kidney disease: time for a course correction.

Authors:  Carolyn Bauer; Michal L Melamed; Thomas H Hostetter
Journal:  J Am Soc Nephrol       Date:  2008-04-02       Impact factor: 10.121

10.  Cystatin C identifies chronic kidney disease patients at higher risk for complications.

Authors:  Carmen A Peralta; Ronit Katz; Mark J Sarnak; Joachim Ix; Linda F Fried; Ian De Boer; Walter Palmas; David Siscovick; Andrew S Levey; Michael G Shlipak
Journal:  J Am Soc Nephrol       Date:  2010-12-16       Impact factor: 14.978

View more
  156 in total

1.  Cost-effectiveness of chronic kidney disease mass screening test in Japan.

Authors:  Masahide Kondo; Kunihiro Yamagata; Shu-ling Hoshi; Chie Saito; Koichi Asahi; Toshiki Moriyama; Kazuhiko Tsuruya; Hideaki Yoshida; Kunitoshi Iseki; Tsuyoshi Watanabe
Journal:  Clin Exp Nephrol       Date:  2011-12-14       Impact factor: 2.801

2.  Heart disease and stroke statistics--2012 update: a report from the American Heart Association.

Authors:  Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Emelia J Benjamin; Jarett D Berry; William B Borden; Dawn M Bravata; Shifan Dai; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Elsayed Z Soliman; Paul D Sorlie; Nona Sotoodehnia; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2011-12-15       Impact factor: 29.690

Review 3.  Nondialysis chronic kidney disease in 2011: Progression, prediction, populations and possibilities.

Authors:  Adeera Levin
Journal:  Nat Rev Nephrol       Date:  2011-12-06       Impact factor: 28.314

4.  Natural history of older adults with impaired kidney function: the InCHIANTI study.

Authors:  Sandra V Giannelli; Christophe E Graf; François R Herrmann; Jean-Pierre Michel; Kushang V Patel; Francesco Pizzarelli; Luigi Ferrucci; Jack Guralnik
Journal:  Rejuvenation Res       Date:  2011-09-28       Impact factor: 4.663

5.  A Risk Score to Guide Cystatin C Testing to Detect Occult-Reduced Estimated Glomerular Filtration Rate.

Authors:  Carmen A Peralta; Paul Muntner; Rebecca Scherzer; Suzanne Judd; Mary Cushman; Michael G Shlipak
Journal:  Am J Nephrol       Date:  2015-09-19       Impact factor: 3.754

6.  Albumin testing in urine using a smart-phone.

Authors:  Ahmet F Coskun; Richie Nagi; Kayvon Sadeghi; Stephen Phillips; Aydogan Ozcan
Journal:  Lab Chip       Date:  2013-11-07       Impact factor: 6.799

7.  Chronic kidney disease epidemic: myth and reality.

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

8.  Urinary biomarkers track the progression of nephropathy in hypertensive and obese rats.

Authors:  Qin Zhang; Kelly J Davis; Dana Hoffmann; Vishal S Vaidya; Ronald P Brown; Peter L Goering
Journal:  Biomark Med       Date:  2014       Impact factor: 2.851

9.  Combined association of creatinine, albuminuria, and cystatin C with all-cause mortality and cardiovascular and kidney outcomes.

Authors:  Salman Waheed; Kunihiro Matsushita; Brad C Astor; Ron C Hoogeveen; Christie Ballantyne; Josef Coresh
Journal:  Clin J Am Soc Nephrol       Date:  2012-12-20       Impact factor: 8.237

10.  Association between chronic kidney disease detected using creatinine and cystatin C and death and cardiovascular events in elderly Mexican Americans: the Sacramento Area Latino Study on Aging.

Authors:  Carmen A Peralta; Anne Lee; Michelle C Odden; Lenny Lopez; Adina Zeki Al Hazzouri; John Neuhaus; Mary N Haan
Journal:  J Am Geriatr Soc       Date:  2012-12-18       Impact factor: 5.562

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.