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
Journal article
Ferreira, João P.E., Girerd, Nicolas, Pellicori, Pierpaolo, Duarte, Kevin, Girerd, Sophie, Pfeffer, Marc A., McMurray, John J. V., Pitt, Bertram, Dickstein, Kenneth, Jacobs, Lotte, Staessen, Jan A., Butler, Javed, Latini, Roberto, Masson, Serge, Mebazaa, Alexandre, Brunner-La Rocca, Hans Peter, Delles, Christian, Heymans, Stephane, Sattar, Naveed, ... Rossignol, Patrick. (2016). 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. BMC Medicine. 14(181), pp. 1 - 14. https://doi.org/10.1186/s12916-016-0731-2
Authors | Ferreira, João P.E., Girerd, Nicolas, Pellicori, Pierpaolo, Duarte, Kevin, Girerd, Sophie, Pfeffer, Marc A., McMurray, John J. V., Pitt, Bertram, Dickstein, Kenneth, Jacobs, Lotte, Staessen, Jan A., Butler, Javed, Latini, Roberto, Masson, Serge, Mebazaa, Alexandre, Brunner-La Rocca, Hans Peter, Delles, Christian, Heymans, Stephane, Sattar, Naveed, Jukema, J. Wouter, Cleland, John G., Zannad, Faiez and Rossignol, Patrick |
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Abstract | Background: Renal impairment is a major risk factor for mortality in various populations. Three formulas are frequently used to assess both glomerular filtration rate (eGFR) or creatinine clearance (CrCl) and mortality prediction: body surface area adjusted-Cockcroft–Gault (CG-BSA), Modification of Diet in Renal Disease Study (MDRD4), and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. The CKD-EPI is the most accurate eGFR estimator as compared to a “gold-standard”; however, which of the latter is the best formula to assess prognosis remains to be clarified. This study aimed to compare the prognostic value of these formulas in predicting the risk of cardiovascular mortality (CVM) in population-based, cardiovascular risk, heart failure (HF) and post-myocardial infarction (MI) cohorts. |
Keywords | : Population based; Cardiovascular risk; Heart failure and post-myocardial infarction cohorts; Renal function; Glomerular filtration rate formulas; Cardiovascular mortality prediction |
Year | 2016 |
Journal | BMC Medicine |
Journal citation | 14 (181), pp. 1 - 14 |
Publisher | Biomed Central Ltd |
ISSN | 1741-7015 |
Digital Object Identifier (DOI) | https://doi.org/10.1186/s12916-016-0731-2 |
Scopus EID | 2-s2.0-84994853651 |
Open access | Open access |
Page range | 1 - 14 |
Research Group | Mary MacKillop Institute for Health Research |
Publisher's version | |
Additional information | © The Author(s). 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
Place of publication | United Kingdom |
https://acuresearchbank.acu.edu.au/item/8q1q1/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
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