Literature DB >> 23041093

Incorporating glomerular filtration rate or creatinine clearance by the modification of diet in renal disease equation or the Cockcroft-Gault equations to improve the global accuracy of the Age, Creatinine, Ejection Fraction [ACEF] score in patients undergoing percutaneous coronary intervention.

Davide Capodanno1, Carmelita Marcantoni, Margherita Ministeri, Fabio Dipasqua, Luca Zanoli, Stefania Rastelli, Sarah Mangiafico, Maria Sanfilippo, Gaetano Romano, Corrado Tamburino.   

Abstract

BACKGROUND: The aim of the present study was to appraise the comparative ability of different ACEF models incorporating glomerular filtration rate or creatinine clearance estimated by the Modification of Diet in Renal Disease [ACEFMDRD] or Cokcroft-Gault [ACEFCG] equations, respectively, over the original ACEF score (ACEFSrCr) in patients undergoing percutaneous coronary intervention (PCI).
METHODS: A total of 537 patients were analyzed by different measures of discrimination, calibration and net reclassification improvement (NRI).
RESULTS: A significant gradient in all-cause mortality was consistently seen with all the models at 30 days, 1 year and 5 years. The comparison of the three models showed that the best balance in terms of discrimination and calibration for all-cause mortality was offered by the ACEFCG at 30 days, the ACEFMDRD at 1 year and similarly by the ACEFCG and ACEFMDRD at 5 years. At 30 days, the NRI was +32.9% for ACEFMDRD over ACEFSrCr and +16% for ACEFCG over ACEFSrCr. At 1 year, the NRI was 13.8% for ACEFMDRD over ACEFSrCr and -7.8% for ACEFCG over ACEFSrCr. At 5 years, the NRI was +7.7% for both the ACEFMDRD and the ACEFCG over the ACEFSrCr.
CONCLUSIONS: In patients undergoing PCI, the ACEF score is associated with satisfactory early-, mid- and long-term discrimination regardless of the definition of renal function. However, incorporating glomerular filtration rate or creatinine clearance by the MDRD or CG formulas in the ACEF score yields superior calibration compared with the original SrCr-based equation, with the ACEFMDRD displaying superior reclassification ability over the ACEFCG and ACEFSrCr at 30 days and 1 year.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  ACEF score; Chronic kidney disease; Glomerular filtration rate

Mesh:

Substances:

Year:  2012        PMID: 23041093     DOI: 10.1016/j.ijcard.2012.09.026

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  5 in total

Review 1.  Arterial Stiffness in the Heart Disease of CKD.

Authors:  Luca Zanoli; Paolo Lentini; Marie Briet; Pietro Castellino; Andrew A House; Gerard M London; Lorenzo Malatino; Peter A McCullough; Dimitri P Mikhailidis; Pierre Boutouyrie
Journal:  J Am Soc Nephrol       Date:  2019-04-30       Impact factor: 10.121

2.  Prediction of 5-Year Mortality in Patients with Chronic Coronary Syndrome Treated with Elective Percutaneous Coronary Intervention: Role of the ACEF Score.

Authors:  Luca Paolucci; Fabio Mangiacapra; Michele Mattia Viscusi; Edoardo Bressi; Iginio Colaiori; Elisabetta Ricottini; Ilaria Cavallari; Annunziata Nusca; Rosetta Melfi; Gian Paolo Ussia; Francesco Grigioni
Journal:  J Cardiovasc Transl Res       Date:  2021-03-22       Impact factor: 4.132

3.  The ACEF (age, creatinine, ejection fraction) score predicts ischemic and bleeding outcomes of patients with acute coronary syndromes treated conservatively.

Authors:  Artur Dziewierz; Zbigniew Siudak; Tomasz Rakowski; Wojciech Zasada; Katarzyna Krzanowska; Dariusz Dudek
Journal:  Postepy Kardiol Interwencyjnej       Date:  2017-06-08       Impact factor: 1.426

4.  Association of Side-Branch Treatment and Patient Factors in Left Anterior Descending Artery True Bifurcation Lesions: Analysis from the GRAND-DES Pooled Registry.

Authors:  Gyu Chul Oh; Kyung Woo Park; Jeehoon Kang; Jung-Kyu Han; Han-Mo Yang; Hyun-Jae Kang; Bon Kwon Koo; Hyo-Soo Kim
Journal:  J Interv Cardiol       Date:  2020-12-27       Impact factor: 2.279

5.  Comparison of Prognostic Value Among 4 Risk Scores in Patients with Acute Coronary Syndrome: Findings from the Improving Care for Cardiovascular Disease in China-ACS (CCC-ACS) Project.

Authors:  Jieleng Huang; Xuebiao Wei; Yu Wang; Mei Jiang; Yingwen Lin; Zedazhong Su; Peng Ran; Yingling Zhou; Jiyan Chen; Danqing Yu
Journal:  Med Sci Monit       Date:  2021-03-01
  5 in total

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