Literature DB >> 27754881

Assessment of the European Society of Cardiology 0-Hour/1-Hour Algorithm to Rule-Out and Rule-In Acute Myocardial Infarction.

John W Pickering1, Jaimi H Greenslade1, Louise Cullen1, Dylan Flaws1, William Parsonage1, Sally Aldous1, Peter George1, Andrew Worster1, Peter A Kavsak1, Martin P Than2.   

Abstract

BACKGROUND: The new European Society of Cardiology guidelines to rule-in and rule-out acute myocardial infarction (AMI) in the emergency department include a rapid assessment algorithm based on high-sensitivity cardiac troponin and sampling at 0 and 1 hour. Emergency department physicians require high sensitivity to confidently rule-out AMI, whereas cardiologists aim to minimize false-positive results.
METHODS: High-sensitivity troponin I and T assays were used to measure troponin concentrations in patients presenting with chest-pain symptoms and being investigated for possible acute coronary syndrome at hospitals in New Zealand, Australia, and Canada. AMI outcomes were independently adjudicated by at least 2 physicians. The European Society of Cardiology algorithm performance with each assay was assessed by the sensitivity and proportion with AMI ruled out and the positive predictive value and proportion ruled-in.
RESULTS: There were 2222 patients with serial high-sensitivity troponin T and high-sensitivity troponin I measurements. The high-sensitivity troponin T algorithm ruled out 1425 (64.1%) with a sensitivity of 97.1% (95% confidence interval [CI], 94.0%-98.8%) and ruled-in 292 (13.1%) with a positive predictive value of 63.4% (95% CI, 57.5%-68.9%).The high-sensitivity troponin I algorithm ruled out 1205 (54.2%) with a sensitivity of 98.8% (95% CI, 96.4%-99.7%)) and ruled-in 310 (14.0%) with a positive predictive value of 68.1% (95% CI, 62.6%-73.2%).
CONCLUSIONS: The sensitivity of the European Society of Cardiology rapid assessment 0-/1-hour algorithm to rule-out AMI with high-sensitivity troponin may be insufficient for some emergency department physicians to confidently send patients home. These algorithms may prove useful to identify patients requiring expedited management. However, the positive predictive value was modest for both algorithms.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  diagnosis; emergency department; emergency medicine; myocardial infarction; troponin

Mesh:

Substances:

Year:  2016        PMID: 27754881     DOI: 10.1161/CIRCULATIONAHA.116.022677

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  21 in total

Review 1.  High-sensitivity assays for troponin in patients with cardiac disease.

Authors:  Dirk Westermann; Johannes Tobias Neumann; Nils Arne Sörensen; Stefan Blankenberg
Journal:  Nat Rev Cardiol       Date:  2017-04-06       Impact factor: 32.419

Review 2.  High-Sensitivity Cardiac Troponin for the Diagnosis of Patients with Acute Coronary Syndromes.

Authors:  Vlad C Vasile; Allan S Jaffe
Journal:  Curr Cardiol Rep       Date:  2017-08-24       Impact factor: 2.931

3.  Implementation of High-Sensitivity Cardiac Troponin: Challenges From the International Experience.

Authors:  Stacey J Howell; Ezra A Amsterdam; Bryn E Mumma; Javier E López; Nam K Tran
Journal:  Crit Pathw Cardiol       Date:  2018-12

4.  Rapid rule-out of suspected acute coronary syndrome in the Emergency Department by high-sensitivity cardiac troponin T levels at presentation.

Authors:  Andrea Fabbri; Cristina Bachetti; Filippo Ottani; Alice Morelli; Barbara Benazzi; Sergio Spiezia; Marco Cortigiani; Romolo Dorizzi; Allan S Jaffe; Marcello Galvani
Journal:  Intern Emerg Med       Date:  2018-11-29       Impact factor: 3.397

Review 5.  Novel Risk Stratification Assays for Acute Coronary Syndrome.

Authors:  Haitham M Ahmed; Stanley L Hazen
Journal:  Curr Cardiol Rep       Date:  2017-08       Impact factor: 2.931

6.  Clinical Evaluation of a New High-Sensitivity Cardiac Troponin I Assay for Diagnosis and Risk Assessment of Patients with Suspected Acute Myocardial Infarction.

Authors:  Masayuki Shiozaki; Kenji Inoue; Satoru Suwa; Chien-Chang Lee; Shuo-Ju Chiang; Akihiro Sato; Kentaro Fukuda; Naozumi Kubota; Hiroshi Tamura; Yasumasa Fujiwara; Kentaro Yamaguchi; Tomoaki Sato; Masataka Sumiyoshi; Hiroyuki Daida
Journal:  Cardiology       Date:  2021-01-18       Impact factor: 1.869

7.  Diagnostic Reclassification by a High-Sensitivity Cardiac Troponin Assay.

Authors:  Bryn E Mumma; Scott D Casey; Robert K Dang; Michelle K Polen; Jasmanpreet C Kaur; John Rodrigo; Daniel J Tancredi; Robert A Narverud; Ezra A Amsterdam; Nam Tran
Journal:  Ann Emerg Med       Date:  2020-08-15       Impact factor: 5.721

Review 8.  Association of High-Sensitivity Cardiac Troponin I Concentration With Cardiac Outcomes in Patients With Suspected Acute Coronary Syndrome.

Authors:  Andrew R Chapman; Kuan Ken Lee; David A McAllister; Louise Cullen; Jaimi H Greenslade; William Parsonage; Andrew Worster; Peter A Kavsak; Stefan Blankenberg; Johannes Neumann; Nils A Sörensen; Dirk Westermann; Madelon M Buijs; Gerard J E Verdel; John W Pickering; Martin P Than; Raphael Twerenbold; Patrick Badertscher; Zaid Sabti; Christian Mueller; Atul Anand; Philip Adamson; Fiona E Strachan; Amy Ferry; Dennis Sandeman; Alasdair Gray; Richard Body; Brian Keevil; Edward Carlton; Kim Greaves; Frederick K Korley; Thomas S Metkus; Yader Sandoval; Fred S Apple; David E Newby; Anoop S V Shah; Nicholas L Mills
Journal:  JAMA       Date:  2017-11-21       Impact factor: 56.272

Review 9.  Past, Present, and Future of Blood Biomarkers for the Diagnosis of Acute Myocardial Infarction-Promises and Challenges.

Authors:  Ioan Tilea; Andreea Varga; Razvan Constantin Serban
Journal:  Diagnostics (Basel)       Date:  2021-05-15

10.  0/1-Hour Triage Algorithm for Myocardial Infarction in Patients With Renal Dysfunction.

Authors:  Raphael Twerenbold; Patrick Badertscher; Jasper Boeddinghaus; Thomas Nestelberger; Karin Wildi; Christian Puelacher; Zaid Sabti; Maria Rubini Gimenez; Sandra Tschirky; Jeanne du Fay de Lavallaz; Nikola Kozhuharov; Lorraine Sazgary; Deborah Mueller; Tobias Breidthardt; Ivo Strebel; Dayana Flores Widmer; Samyut Shrestha; Òscar Miró; F Javier Martín-Sánchez; Beata Morawiec; Jiri Parenica; Nicolas Geigy; Dagmar I Keller; Katharina Rentsch; Arnold von Eckardstein; Stefan Osswald; Tobias Reichlin; Christian Mueller
Journal:  Circulation       Date:  2017-11-03       Impact factor: 29.690

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