Literature DB >> 22265976

TIMI, GRACE and alternative risk scores in Acute Coronary Syndromes: a meta-analysis of 40 derivation studies on 216,552 patients and of 42 validation studies on 31,625 patients.

Fabrizio D'Ascenzo1, Giuseppe Biondi-Zoccai, Claudio Moretti, Mario Bollati, Pierluigi Omedè, Filippo Sciuto, Davide G Presutti, Maria Grazia Modena, Mauro Gasparini, Matthew J Reed, Imad Sheiban, Fiorenzo Gaita.   

Abstract

BACKGROUND: Acute coronary syndromes (ACS) represent a difficult challenge for physicians. Risk scores have become the cornerstone in clinical and interventional decision making. METHODS AND
RESULTS: PubMed was systematically searched for ACS risk score studies. They were divided into ACS studies (evaluating Unstable Angina; UA, Non ST Segment Elevation Myocardial Infarction; NSTEMI, and ST Segment Elevation Myocardial Infarction; STEMI), UA/NSTEMI studies or STEMI studies. The c-statistics of validation studies were pooled when appropriate with random-effect methods. 7 derivation studies with 25,525 ACS patients and 15 validation studies including 257,654 people were formally appraised. Pooled analysis of GRACE scores, both at short (0.82; 0.80-0.89 I.C 95%) and long term follow up (0.84; 0.82-0.87; I.C 95%) showed the best performance, with similar results to Simple Risk Index (SRI) derivation cohorts at short term. For NSTEMI/UA, 18 derivation studies with 56,560 patients and 18 validation cohorts with 56,673 patients were included. Pooled analysis of validations studies showed c-statistics of 0.54 (95% CI = 0.52-0.57) and 0.67 (95% CI = 0.62-0.71) for short and long term TIMI validation studies, and 0.83 (95% CI = 0.79-9.87) and 0.80 (95% CI = 0.74-0.89) for short and long term GRACE studies. For STEMI, 15 studies with 134,557 patients with derivation scores, and 17 validation studies with 187,619 patients showed a pooled c-statistic of 0.77 (95% CI = 0.71-0.83) and 0.77 (95% CI = 0.72-0.85) for TIMI at short and long term, and a pooled c-statistic of 0.82 (95% CI = 0.81-0.83) and 0.81 (95% CI = 0.80-0.82) for GRACE at short and long terms respectively.
CONCLUSIONS: TIMI and GRACE are the risk scores that up until now have been most extensively investigated, with GRACE performing better. There are other potentially useful ACS risk scores available however these have not undergone rigorous validation. This study suggests that these other scores may be potentially useful and should be further researched.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22265976     DOI: 10.1016/j.cct.2012.01.001

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  50 in total

1.  Extensive phenotype data and machine learning in prediction of mortality in acute coronary syndrome - the MADDEC study.

Authors:  Jussi A Hernesniemi; Shadi Mahdiani; Juho A Tynkkynen; Leo-Pekka Lyytikäinen; Pashupati P Mishra; Terho Lehtimäki; Markku Eskola; Kjell Nikus; Kari Antila; Niku Oksala
Journal:  Ann Med       Date:  2019-04-27       Impact factor: 4.709

2.  Risk stratification and prognostic value of grace and timi risk scores for female patients with non-st segment elevation acute coronary syndrome.

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Journal:  Int J Clin Exp Med       Date:  2015-03-15

3.  Additive prognostic value of left ventricular ejection fraction to the TIMI risk score for in-hospital and long-term mortality in patients with ST segment elevation myocardial infarction.

Authors:  Xue-Biao Wei; Yuan-Hui Liu; Peng-Cheng He; Lei Jiang; Ying-Ling Zhou; Ji-Yan Chen; Ning Tan; Dan-Qing Yu
Journal:  J Thromb Thrombolysis       Date:  2017-01       Impact factor: 2.300

4.  Impact of Admission Glycosylated Hemoglobin A1c on Angiographic Characteristics and Short Term Clinical Outcomes of Nondiabetic Patients with Acute ST-Segment Elevation Myocardial Infarction.

Authors:  Islam El-Sherbiny; Baher Nabil; Tamer Saber; Fathy Elsayed Abdelgawad
Journal:  Cardiol Res Pract       Date:  2015-12-01       Impact factor: 1.866

5.  Artificial neural network modeling using clinical and knowledge independent variables predicts salt intake reduction behavior.

Authors:  Hussain A Isma'eel; George E Sakr; Mohamad M Almedawar; Jihan Fathallah; Torkom Garabedian; Savo Bou Zein Eddine; Lara Nasreddine; Imad H Elhajj
Journal:  Cardiovasc Diagn Ther       Date:  2015-06

6.  The prognostic value of the nutritional prognostic index (NPI) and controlling nutritional status (CONUT) scoring systems in non-ST elevated myocardial infarction patients over 65 years of age.

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Journal:  Aging Clin Exp Res       Date:  2022-01-07       Impact factor: 3.636

7.  White Blood Cell Subtypes Are Associated with a Greater Long-Term Risk of Death after Acute Myocardial Infarction.

Authors:  Arthur Shiyovich; Harel Gilutz; Ygal Plakht
Journal:  Tex Heart Inst J       Date:  2017-06-01

Review 8.  Risk stratification for ST segment elevation myocardial infarction in the era of primary percutaneous coronary intervention.

Authors:  Richard A Brogan; Christopher J Malkin; Phillip D Batin; Alexander D Simms; James M McLenachan; Christopher P Gale
Journal:  World J Cardiol       Date:  2014-08-26

9.  Treatment of individual predictors with neural network algorithms improves Global Registry of Acute Coronary Events score discrimination.

Authors:  Raul A Borracci; Claudio C Higa; Graciana Ciambrone; Jimena Gambarte
Journal:  Arch Cardiol Mex       Date:  2021

10.  Association of Region and Hospital and Patient Characteristics With Use of High-Intensity Statins After Myocardial Infarction Among Medicare Beneficiaries.

Authors:  Vera Bittner; Lisandro D Colantonio; Yuling Dai; Mark Woodward; Matthew T Mefford; Robert S Rosenson; Paul Muntner; Keri L Monda; Meredith L Kilgore; Byron C Jaeger; Emily B Levitan
Journal:  JAMA Cardiol       Date:  2019-09-01       Impact factor: 14.676

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