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669 related items for PubMed ID: 22554602

  • 1. Estimated glomerular filtration rate and prognosis in heart failure: value of the Modification of Diet in Renal Disease Study-4, chronic kidney disease epidemiology collaboration, and cockroft-gault formulas.
    Zamora E, Lupón J, Vila J, Urrutia A, de Antonio M, Sanz H, Grau M, Ara J, Bayés-Genís A.
    J Am Coll Cardiol; 2012 May 08; 59(19):1709-15. PubMed ID: 22554602
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  • 5. Predicting outcomes after myocardial infarction by using the Chronic Kidney Disease Epidemiology Collaboration equation in comparison with the Modification of Diet in Renal Disease study equation: results from the Korea Acute Myocardial Infarction Registry.
    Choi JS, Kim CS, Bae EH, Ma SK, Ahn YK, Jeong MH, Kim YJ, Cho MC, Kim CJ, Kim SW, Korea Acute Myocardial Infarction Registry Investigators.
    Nephrol Dial Transplant; 2012 Oct 08; 27(10):3868-74. PubMed ID: 22879394
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  • 6. 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 08; 15(7):763-70. PubMed ID: 23429976
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  • 7. Renal function estimation and Cockroft-Gault formulas for predicting cardiovascular mortality in population-based, cardiovascular risk, heart failure and post-myocardial infarction cohorts: The Heart 'OMics' in AGEing (HOMAGE) and the high-risk myocardial infarction database initiatives.
    Ferreira JP, Girerd N, Pellicori P, Duarte K, Girerd S, Pfeffer MA, McMurray JJ, Pitt B, Dickstein K, Jacobs L, Staessen JA, Butler J, Latini R, Masson S, Mebazaa A, Rocca HP, Delles C, Heymans S, Sattar N, Jukema JW, Cleland JG, Zannad F, Rossignol P, Heart ‘OMics’ in AGEing (HOMAGE) initiative and the High-Risk Myocardial Infarction database initiative.
    BMC Med; 2016 Nov 10; 14(1):181. PubMed ID: 27829460
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  • 8. Prognostic value of formulas estimating excretory renal function in the elderly with systolic heart failure.
    Scrutinio D, Passantino A, Santoro D, Cacciapaglia E, Farinola G.
    Age Ageing; 2009 May 10; 38(3):296-301. PubMed ID: 19252204
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  • 10. Validation of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in advanced chronic renal failure.
    Teruel Briones JL, Gomis Couto A, Sabater J, Fernández Lucas M, Rodríguez Mendiola N, Villafruela JJ, Quereda C.
    Nefrologia; 2011 May 10; 31(6):677-82. PubMed ID: 22130283
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  • 12. [Comparison and agreement of the Cockcroft-Gault and MDRD equations to estimate glomerular filtration rate in diagnosis of occult chronic kidney disease].
    Buitrago F, Calvo JI, Gómez-Jiménez C, Cañón L, Robles NR, Angulo E.
    Nefrologia; 2008 May 10; 28(3):301-10. PubMed ID: 18590497
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  • 13. Which method of GFR estimation has the best prognostic value in patients treated with primary PCI: Cockcroft-Gault formula, MDRD, or CKD-EPI equation?--A 6-year follow-up.
    Tomaszuk-Kazberuk A, Kozuch M, Malyszko J, Bachorzewska-Gajewska H, Dobrzycki S, Musial WJ.
    Ren Fail; 2011 May 10; 33(10):983-9. PubMed ID: 22013931
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  • 14. 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 10; 91(4):347-55. PubMed ID: 23829647
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  • 16. Estimating glomerular filtration rate in hypertensive subjects: comparison of the chronic kidney disease epidemiology collaboration (CKD-EPI) and modification of diet in renal disease (MDRD) study equations.
    Korhonen PE, Kivelä SL, Aarnio PT, Kautiainen H, Järvenpää S, Kantola IM.
    Ann Med; 2012 Aug 10; 44(5):487-93. PubMed ID: 22149718
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  • 17. Comparison of the prevalence and mortality risk of CKD in Australia using the CKD Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) Study GFR estimating equations: the AusDiab (Australian Diabetes, Obesity and Lifestyle) Study.
    White SL, Polkinghorne KR, Atkins RC, Chadban SJ.
    Am J Kidney Dis; 2010 Apr 10; 55(4):660-70. PubMed ID: 20138414
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  • 18. Performance of formulas for estimating glomerular filtration rate in Indigenous Australians with and without Type 2 diabetes: the eGFR Study.
    Maple-Brown LJ, Ekinci EI, Hughes JT, Chatfield M, Lawton PD, Jones GR, Ellis AG, Sinha A, Cass A, Hoy WE, O'Dea K, Jerums G, MacIsaac RJ, investigators of the eGFR Study.
    Diabet Med; 2014 Jul 10; 31(7):829-38. PubMed ID: 24598003
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  • 19. The Chronic Kidney Disease Epidemiology Collaboration equation outperforms the Modification of Diet in Renal Disease equation for estimating glomerular filtration rate in chronic systolic heart failure.
    Valente MA, Hillege HL, Navis G, Voors AA, Dunselman PH, van Veldhuisen DJ, Damman K.
    Eur J Heart Fail; 2014 Jan 10; 16(1):86-94. PubMed ID: 23901055
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  • 20. Simple cystatin C formula compared to sophisticated CKD-EPI formulas for estimation of glomerular filtration rate in the elderly.
    Bevc S, Hojs R, Ekart R, Gorenjak M, Puklavec L.
    Ther Apher Dial; 2011 Jun 10; 15(3):261-8. PubMed ID: 21624073
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