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Evaluation of a 1-hour troponin algorithm for diagnosing myocardial infarction in high-risk patients admitted to a chest pain unit: the prospective FAST-MI cohort study

Authors :
Michael Amann
Felix Gaiser
Sandra Iris Schwenk
Faridun Rahimi
Roland Schmitz
Kambis Mashayekhi
Miroslaw Ferenc
Franz-Josef Neumann
Christian Marc Valina
Willibald Hochholzer
Source :
BMJ Open, Vol 9, Iss 11 (2019)
Publication Year :
2019
Publisher :
BMJ Publishing Group, 2019.

Abstract

Objective This study sought to evaluate the diagnostic performance of the 1-hour troponin algorithm for diagnosis of myocardial infarction (MI) without persistent ST-segment elevations (non-ST-segment MI (NSTEMI)) in a cohort with a high prevalence of MI. This algorithm recommend by current guidelines was previously developed in cohorts with a prevalence of MI of less than 20%.Design Prospective cohort study from November 2015 until December 2016.Setting Dedicated chest pain unit of a single referral centre.Participants Consecutive patients with suspected MI were screened. Patients with subacute symptoms lasting more than 24 hours, new ST-segment elevations at presentation, or an already diagnosed or ruled-out acute MI were excluded. All enrolled patients (n=1317) underwent a full clinical assessment and measurements of high-sensitivity troponin, and were scheduled for an early invasive strategy if clinically indicated.Main outcome measures Final diagnosis of MI according to the Fourth Universal Definition of MI.Results The prevalence of NSTEMI in the present cohort was 36.9%. The sensitivity for rule-out of MI was 99.8%. The specificity for rule-in of MI was found to be 94.3%. However, in 35.7% of patients neither rule-in nor rule-out was possible. In 51.4% of patients diagnosed with MI, a primary non-coronary reason for MI was found (type 2 MI). Different receiver operating characteristic-curve derived cut-offs for troponin and its dynamics did not provide a sufficient differentiation between type 1 and 2 MI for clinical decision making (negative predictive value for rule-out of type 1 MI

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
20446055
Volume :
9
Issue :
11
Database :
Directory of Open Access Journals
Journal :
BMJ Open
Publication Type :
Academic Journal
Accession number :
edsdoj.50323d0f7004fbca633be07f717b372
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjopen-2019-032124