Literature DB >> 27810290

Comparison of the GRACE, HEART and TIMI score to predict major adverse cardiac events in chest pain patients at the emergency department.

J M Poldervaart1, M Langedijk2, B E Backus3, I M C Dekker4, A J Six5, P A Doevendans6, A W Hoes7, J B Reitsma7.   

Abstract

BACKGROUND: The performance of the GRACE, HEART and TIMI scores were compared in predicting the probability of major adverse cardiac events (MACE) in chest pain patients presenting at the emergency department (ED), in particular their ability to identify patients at low risk.
METHODS: Chest pain patients presenting at the ED in nine Dutch hospitals were included. The primary outcome was MACE within 6weeks. The HEART score was determined by the treating physician at the ED. The GRACE and TIMI score were calculated based on prospectively collected data. Performance of the scores was compared by calculating AUC curves. Additionally, the number of low-risk patients identified by each score were compared at a fixed level of safety of at least 95% or 98% sensitivity.
RESULTS: In total, 1748 patients were included. The AUC of GRACE, HEART, and TIMI were 0.73 (95% CI: 0.70-0.76%), 0.86 (95% CI: 0.84-0.88%) and 0.80 (95% CI: 0.78-0.83%), respectively (all differences in AUC highly statistically significant). At an absolute level of safety of at least 98% sensitivity, the GRACE score identified 231 patients as "low risk" in which 2.2% a MACE was missed; the HEART score identified 381 patients as "low risk" with 0.8% missed MACE. The TIMI score identified no "low risk" patients at this safety level.
CONCLUSIONS: The HEART score outperformed the GRACE and TIMI scores in discriminating between those with and without MACE in chest pain patients, and identified the largest group of low-risk patients at the same level of safety.
Copyright © 2016 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Entities:  

Keywords:  Acute coronary syndrome; Chest pain; Clinical prediction rule; GRACE score; HEART score; TIMI score

Mesh:

Year:  2016        PMID: 27810290     DOI: 10.1016/j.ijcard.2016.10.080

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


  43 in total

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Authors:  Stephanie O Frisch; Julissa Brown; Ziad Faramand; Jennifer Stemler; Ervin Sejdić; Christian Martin-Gill; Clifton Callaway; Susan M Sereika; Salah S Al-Zaiti
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2.  Inter-rater Reliability of the HEART Score.

Authors:  Colin A Gershon; Annick N Yagapen; Amber Lin; David Yanez; Benjamin C Sun
Journal:  Acad Emerg Med       Date:  2018-12-28       Impact factor: 3.451

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Authors:  Thomas Moumneh; Vanessa Richard-Jourjon; Emilie Friou; Fabrice Prunier; Caroline Soulie-Chavignon; Jacques Choukroun; Betty Mazet-Guilaumé; Jérémie Riou; Andréa Penaloza; Pierre-Marie Roy
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6.  Comparison of clinical risk scores for triaging high-risk chest pain patients at the emergency department.

Authors:  Salah S Al-Zaiti; Ziad Faramand; Mohammad O Alrawashdeh; Susan M Sereika; Christian Martin-Gill; Clifton Callaway
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Review 7.  [Troponin elevation in acute ischemic stroke-unspecific or acute myocardial infarction? : Diagnostics and clinical implications].

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8.  Effectiveness of Modified HEART Score in Predicting Major Adverse Cardiac Events.

Authors:  Sultan Tuna Akgol Gur; Meryem Betos Kocak; Abdullah Osman Kocak; Mert Vural; Ilker Akbas; Sinem Dogruyol; Bugra Kerget; Zeynep Cakir
Journal:  Eurasian J Med       Date:  2021-02

9.  Development of an optimized risk score to predict short-term death among acute myocardial infarction patients in rural China.

Authors:  Sheng-Ji Wang; Zhen-Xiu Cheng; Xiao-Ting Fan; Yong-Gang Lian
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10.  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
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