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Items: 1 to 20 of 365

1.

The glomerular filtration rate estimated by new and old equations as a predictor of important outcomes in elderly patients.

Van Pottelbergh G, Vaes B, Adriaensen W, Matheï C, Legrand D, Wallemacq P, Degryse JM.

BMC Med. 2014 Feb 12;12:27. doi: 10.1186/1741-7015-12-27.

2.

Creatinine-or cystatin C-based equations to estimate glomerular filtration in the general population: impact on the epidemiology of chronic kidney disease.

Delanaye P, Cavalier E, Moranne O, Lutteri L, Krzesinski JM, Bruyère O.

BMC Nephrol. 2013 Mar 12;14:57. doi: 10.1186/1471-2369-14-57.

3.

The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation incorporating both cystatin C and creatinine best predicts individual risk: a cohort study in 444 patients with chronic kidney disease.

Rogacev KS, Pickering JW, Seiler S, Zawada AM, Emrich I, Fliser D, Heine GH.

Nephrol Dial Transplant. 2014 Feb;29(2):348-55. doi: 10.1093/ndt/gft422. Epub 2013 Oct 28.

4.

Accuracy of the MDRD (Modification of Diet in Renal Disease) study and CKD-EPI (CKD Epidemiology Collaboration) equations for estimation of GFR in the elderly.

Kilbride HS, Stevens PE, Eaglestone G, Knight S, Carter JL, Delaney MP, Farmer CK, Irving J, O'Riordan SE, Dalton RN, Lamb EJ.

Am J Kidney Dis. 2013 Jan;61(1):57-66. doi: 10.1053/j.ajkd.2012.06.016. Epub 2012 Aug 11.

PMID:
22889713
5.

Estimating glomerular filtration rate in acute coronary syndromes: Different equations, different mortality risk prediction.

Almeida I, Caetano F, Barra S, Madeira M, Mota P, Leitão-Marques A.

Eur Heart J Acute Cardiovasc Care. 2016 Jun;5(3):223-30. doi: 10.1177/2048872615576219. Epub 2015 Mar 4.

PMID:
25740222
6.

Comparison of risk prediction with the CKD-EPI and MDRD equations in acute decompensated heart failure.

Manzano-Fernández S, Flores-Blanco PJ, Pérez-Calvo JI, Ruiz-Ruiz FJ, Carrasco-Sánchez FJ, Morales-Rull JL, Galisteo-Almeda L, Pascual-Figal D, Valdes M, Januzzi JL.

J Card Fail. 2013 Aug;19(8):583-91. doi: 10.1016/j.cardfail.2013.05.011.

PMID:
23910589
7.

Variability of glomerular filtration rate estimation equations in elderly Chinese patients with chronic kidney disease.

Liu X, Cheng MH, Shi CG, Wang C, Cheng CL, Chen JX, Tang H, Chen ZJ, Ye ZC, Lou TQ.

Clin Interv Aging. 2012;7:409-15. doi: 10.2147/CIA.S36152. Epub 2012 Oct 11.

8.

Long-term prognostic value for patients with chronic heart failure of estimated glomerular filtration rate calculated with the new CKD-EPI equations containing cystatin C.

Zamora E, Lupón J, de Antonio M, Vila J, Peñafiel J, Galán A, Urrutia A, Domingo M, Bayes-Genis A.

Clin Chem. 2014 Mar;60(3):481-9. doi: 10.1373/clinchem.2013.212951. Epub 2013 Nov 19.

10.

Comparisons between the 2012 new CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) equations and other four approved equations.

Zhu Y, Ye X, Zhu B, Pei X, Wei L, Wu J, Zhao W.

PLoS One. 2014 Jan 13;9(1):e84688. doi: 10.1371/journal.pone.0084688. eCollection 2014.

11.
12.

Comparison of estimated glomerular filtration rate by the chronic kidney disease epidemiology collaboration (CKD-EPI) equations with and without Cystatin C for predicting clinical outcomes in elderly women.

Lim WH, Lewis JR, Wong G, Turner RM, Lim EM, Thompson PL, Prince RL.

PLoS One. 2014 Sep 29;9(9):e106734. doi: 10.1371/journal.pone.0106734. eCollection 2014.

13.

Is the Chronic Kidney Disease Epidemiology Collaboration creatinine-cystatin C equation useful for glomerular filtration rate estimation in the elderly?

Liu X, Ma H, Huang H, Wang C, Tang H, Li M, Wang Y, Lou T.

Clin Interv Aging. 2013;8:1387-91. doi: 10.2147/CIA.S52774. Epub 2013 Oct 11.

14.

Renal function in heart failure: a disparity between estimating function and predicting mortality risk.

Plischke M, Neuhold S, Kohl M, Heinze G, Sunder-Plassmann G, Pacher R, Hülsmann M.

Eur J Heart Fail. 2013 Jul;15(7):763-70. doi: 10.1093/eurjhf/hft022. Epub 2013 Feb 20.

15.

Prevalence and determinants of chronic kidney disease in community-dwelling elderly by various estimating equations.

Rothenbacher D, Klenk J, Denkinger M, Karakas M, Nikolaus T, Peter R, Koenig W; ActiFE Study Group.

BMC Public Health. 2012 May 10;12:343. doi: 10.1186/1471-2458-12-343.

16.

Comparison of associations of outcomes after stroke with estimated GFR using Chinese modifications of the MDRD study and CKD-EPI creatinine equations: results from the China National Stroke Registry.

Wang X, Luo Y, Wang Y, Wang C, Zhao X, Wang D, Liu L, Liu G, Wang Y; China National Stroke Registry Investigators.

Am J Kidney Dis. 2014 Jan;63(1):59-67. doi: 10.1053/j.ajkd.2013.08.008. Epub 2013 Oct 4.

PMID:
24100127
17.

Prevalence of diminished kidney function in a representative sample of middle and older age adults in the Irish population.

Browne GM, Eustace JA, Fitzgerald AP, Lutomski JE, Perry IJ.

BMC Nephrol. 2012 Nov 2;13:144. doi: 10.1186/1471-2369-13-144.

18.

The Chronic Kidney Disease Epidemiology Collaboration cystatin C (CKD-EPI-CysC) equation has an independent prognostic value for overall survival in newly diagnosed patients with symptomatic multiple myeloma; is it time to change from MDRD to CKD-EPI-CysC equations?

Terpos E, Christoulas D, Kastritis E, Katodritou E, Pouli A, Michalis E, Papassotiriou I, Dimopoulos MA; Greek Myeloma Study Group.

Eur J Haematol. 2013 Oct;91(4):347-55. doi: 10.1111/ejh.12164. Epub 2013 Aug 17.

PMID:
23829647
19.

Predictivity of survival according to different equations for estimating renal function in community-dwelling elderly subjects.

Pizzarelli F, Lauretani F, Bandinelli S, Windham GB, Corsi AM, Giannelli SV, Ferrucci L, Guralnik JM.

Nephrol Dial Transplant. 2009 Apr;24(4):1197-205. doi: 10.1093/ndt/gfn594. Epub 2008 Nov 6.

20.

Clinical risk implications of the CKD Epidemiology Collaboration (CKD-EPI) equation compared with the Modification of Diet in Renal Disease (MDRD) Study equation for estimated GFR.

Matsushita K, Tonelli M, Lloyd A, Levey AS, Coresh J, Hemmelgarn BR; Alberta Kidney Disease Network.

Am J Kidney Dis. 2012 Aug;60(2):241-9. doi: 10.1053/j.ajkd.2012.03.016. Epub 2012 May 4.

PMID:
22560843
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