Literature DB >> 25965718

The proxy of renal function that most accurately predicts short- and long-term outcome after acute coronary syndrome.

Katia Orvin1, Alon Eisen2, Ilan Goldenberg3, Ateret Farkash3, Nir Shlomo3, Natalie Gevrielov-Yusim3, Zaza Iakobishvili1, David Hasdai1.   

Abstract

AIMS: The aim of this study is to determine the most accurate renal function formula that predicts short- and long-term mortality in a wide spectrum of acute coronary syndrome (ACS) patients. METHODS AND
RESULTS: We analyzed 8,726 consecutive patients (46.3% ST-elevation myocardial infarction [STEMI] and 53.7% non-ST-elevation ACS [NSTE-ACS]) enrolled in the ACS survey in Israel. Renal function, assessed using 5 formulas as proxies of creatinine clearance or estimated glomerular filtration rate (Cockcroft-Gault, modification of diet in renal disease [MDRD], Chronic Kidney Disease Epidemiology Collaboration, Mayo quadratic, and inulin clearance based), varied in applying the different formulas. For both STEMI and NSTE-ACS patients, the Mayo formula yielded the highest mean value (88.9 ± 27.7 and 81.4 ± 29.2 mL/min per 1.73 m(2), respectively) and Chronic Kidney Disease Epidemiology Collaboration the lowest (73.0 ± 23.1 and 67.0 ± 24.1 mL/min per 1.73 m(2), respectively). Using multivariate analysis, worse renal function was independently associated with increased mortality risk by 30% to 40% for each decrement of 10 U of creatinine clearance or estimated glomerular filtration rate in STEMI patients and by 25% to 30% for NSTE-ACS patients, using all 5 formulas. The only formula that more accurately predicted 1-year mortality than the MDRD formula was the Mayo quadratic formula with a 1-year net reclassification index of 0.26 and 0.14 for STEMI and NSTE-ACS patients, respectively, after multivariable adjustment.
CONCLUSION: Worse renal function was an independent predictor for short- and long-term mortality using all 5 formulas in a broad spectrum of ACS patients, but only the Mayo quadratic formula had better accuracy in predicting mortality relative to the MDRD, suggesting that it may be the preferred prognosticator among ACS patients.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25965718     DOI: 10.1016/j.ahj.2015.01.012

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  9 in total

Review 1.  Renal Dysfunction: How to Think About That in Acute Coronary Syndromes.

Authors:  Luciano Babuin; Daniele Scarpa; Allan S Jaffe
Journal:  Curr Cardiol Rep       Date:  2017-08-24       Impact factor: 2.931

2.  Social support buffers the negative effects of stress in cardiac patients: a cross-sectional study with acute coronary syndrome patients.

Authors:  Simona Wiesmaierova; Dafina Petrova; Antonio Arrebola Moreno; Andrés Catena; José Antonio Ramírez Hernández; Rocio Garcia-Retamero
Journal:  J Behav Med       Date:  2018-12-06

3.  Mild renal insufficiency and attributable risk of adverse In-hospital outcomes in patients with Acute Coronary Syndrome from the improving care for Cardiovascular Disease in China (CCC) project.

Authors:  Fengbo Xu; Guoqin Wang; Nan Ye; Weijing Bian; Lijiao Yang; Changsheng Ma; Dong Zhao; Jing Liu; Yongchen Hao; Jun Liu; Na Yang; Hong Cheng
Journal:  BMC Nephrol       Date:  2022-01-13       Impact factor: 2.388

4.  Glomerular filtration rate (GFR) during and after STEMI: a single-centre, methodological study comparing estimated and measured GFR.

Authors:  Dimitrios Venetsanos; Joakim Alfredsson; Mårten Segelmark; Eva Swahn; Sofia Sederholm Lawesson
Journal:  BMJ Open       Date:  2015-09-23       Impact factor: 2.692

5.  Concordance between modification of diet in renal disease, chronic kidney disease epidemiology collaboration and Cockcroft-Gault equations in patients with chronic kidney disease at St. Paul's hospital millennium medical college, Addis Ababa, Ethiopia.

Authors:  Hunduma Dinsa; Teshome Nedi; Alemseged Beyene Berha
Journal:  BMC Nephrol       Date:  2017-12-20       Impact factor: 2.388

6.  One-year mortality of patients with ST-Elevation myocardial infarction: Prognostic impact of creatinine-based equations to estimate glomerular filtration rate.

Authors:  Yoann Bataille; Olivier Costerousse; Olivier F Bertrand; Olivier Moranne; Hans Pottel; Pierre Delanaye
Journal:  PLoS One       Date:  2018-07-06       Impact factor: 3.240

7.  Prognostic of different glomerular filtration rate formulas in patients receiving percutaneous coronary intervention: insights from a multicenter observational cohort.

Authors:  Wei Chen; Pengyuan Chen; Zhonghan Ni; Yuanhui Liu; Wei Guo; Lei Jiang; Xuebiao Wei; Jiyan Chen; Ning Tan; Pengcheng He; Yansong Guo
Journal:  BMC Cardiovasc Disord       Date:  2020-07-18       Impact factor: 2.298

8.  Comparison of five glomerular filtration rate estimating equations as predictors of acute kidney injury after cardiovascular surgery.

Authors:  Jun-Young Jo; Seung Ah Ryu; Jong-Il Kim; Eun-Ho Lee; In-Cheol Choi
Journal:  Sci Rep       Date:  2019-07-30       Impact factor: 4.379

Review 9.  A critical review of chronic kidney disease as a risk factor for coronary artery disease.

Authors:  Mark Coyle; Gerard Flaherty; Catriona Jennings
Journal:  Int J Cardiol Heart Vasc       Date:  2021-06-15
  9 in total

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