Literature DB >> 32046869

Performance of Novel High-Sensitivity Cardiac Troponin I Assays for 0/1-Hour and 0/2- to 3-Hour Evaluations for Acute Myocardial Infarction: Results From the HIGH-US Study.

Richard M Nowak1, Robert H Christenson2, Gordon Jacobsen3, James McCord4, Fred S Apple5, Adam J Singer6, Alexander Limkakeng7, William F Peacock8, Christopher R deFilippi9.   

Abstract

STUDY
OBJECTIVE: We determine the accuracy of high-sensitivity cardiac troponin I (hs-cTnI), European-derived, rapid, acute myocardial infarction, rule-out/rule-in algorithms applied to a US emergency department (ED) population.
METHODS: Adults presenting to the ED with suspected acute myocardial infarction were included. Plasma samples collected at baseline and between 40 and 90 minutes and 2 and 3 hours later were analyzed in core laboratories using the Siemens Healthineers hs-cTnI assays. Acute myocardial infarction diagnosis was independently adjudicated. The sensitivity, specificity, and negative and positive predictive values for rapid acute myocardial infarction rule-out/rule-in using European algorithms and 30-day outcomes are reported.
RESULTS: From 29 US medical centers, 2,113 subjects had complete data for the 0/1-hour algorithm analyses. With the Siemens Atellica Immunoassay hs-cTnI values, 1,065 patients (50.4%) were ruled out, with a negative predictive value of 99.7% and sensitivity of 98.7% (95% confidence interval 99.2% to 99.9% and 96.3% to 99.6%, respectively), whereas 265 patients (12.6%) were ruled in, having a positive predictive value of 69.4% and specificity of 95.7% (95% confidence interval 63.6% to 74.7% and 94.7% to 96.5%, respectively). The remaining 783 patients (37.1%) were classified as having continued evaluations, with an acute myocardial infarction incidence of 5.6% (95% confidence interval 4.2% to 7.5%). The overall 30-day risk of death or postdischarge acute myocardial infarction was very low in the ruled-out patients but was incrementally increased in the other groups (rule-out 0.2%; continued evaluations 2.1%; rule-in 4.8%). Equivalent results were observed in the 0/2- to 3-hour analyses and when both algorithms were applied to the hs-cTnI ADVIA Centaur measurements.
CONCLUSION: The European rapid rule-out/rule-in acute myocardial infarction algorithm hs-cTnI cut points can be harmonized with a demographically and risk-factor diverse US ED population.
Copyright © 2019 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 32046869     DOI: 10.1016/j.annemergmed.2019.12.008

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  3 in total

1.  Machine learning compared with rule-in/rule-out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations.

Authors:  Anders Björkelund; Mattias Ohlsson; Jakob Lundager Forberg; Arash Mokhtari; Pontus Olsson de Capretz; Ulf Ekelund; Jonas Björk
Journal:  J Am Coll Emerg Physicians Open       Date:  2021-03-22

2.  Performance evaluation of the high sensitive troponin I assay on the Atellica IM analyser.

Authors:  Antonio Buño Soto; Katell Peoc'h; Tommaso Fasano; Jorge Diaz-Garzon; Bernardino González de la Presa; Valerie Chicha-Cattoir; Simone Canovi; Maria Sanz de Pedro; Nayra Rico; Tiphaine Robert; Efrem Bonelli; Pilar Fernández Calle; Aurea Mira; Guillaume Lefevre; Luigi Vecchia; Jose Luis Bedini
Journal:  Biochem Med (Zagreb)       Date:  2022-06-15       Impact factor: 2.515

Review 3.  Scoring systems for the triage and assessment of short-term cardiovascular risk in patients with acute chest pain.

Authors:  Nicklaus P Ashburn; James C O'Neill; Jason P Stopyra; Simon A Mahler
Journal:  Rev Cardiovasc Med       Date:  2021-12-22       Impact factor: 4.430

  3 in total

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