Point-of-care high-sensitivity cardiac troponin in suspected acute myocardial infarction assessed at baseline and 2 h.

Emergency department High-sensitivity troponin Myocardial infarction Point of care Rapid diagnostics

Journal

European heart journal
ISSN: 1522-9645
Titre abrégé: Eur Heart J
Pays: England
ID NLM: 8006263

Informations de publication

Date de publication:
06 Jun 2024
Historique:
received: 16 10 2023
revised: 15 04 2024
accepted: 16 05 2024
medline: 6 6 2024
pubmed: 6 6 2024
entrez: 6 6 2024
Statut: aheadofprint

Résumé

Strategies to assess patients with suspected acute myocardial infarction (AMI) using a point-of-care (POC) high-sensitivity cardiac troponin I (hs-cTnI) assay may expedite emergency care. A 2-h POC hs-cTnI strategy for emergency patients with suspected AMI was derived and validated. In two international, multi-centre, prospective, observational studies of adult emergency patients (1486 derivation cohort and 1796 validation cohort) with suspected AMI, hs-cTnI (Siemens Atellica® VTLi) was measured at admission and 2 h later. Adjudicated final diagnoses utilized the hs-cTn assay in clinical use. A risk stratification algorithm was derived and validated. The primary diagnostic outcome was index AMI (Types 1 and 2). The primary safety outcome was 30-day major adverse cardiac events incorporating AMI and cardiac death. Overall, 81 (5.5%) and 88 (4.9%) patients in the derivation and validation cohorts, respectively, had AMI. The 2-h algorithm defined 66.1% as low risk with a sensitivity of 98.8% [95% confidence interval (CI) 89.3%-99.9%] and a negative predictive value of 99.9 (95% CI 99.2%-100%) for index AMI in the derivation cohort. In the validation cohort, 53.3% were low risk with a sensitivity of 98.9% (95% CI 92.4%-99.8%) and a negative predictive value of 99.9% (95% CI 99.3%-100%) for index AMI. The high-risk metrics identified 5.4% of patients with a specificity of 98.5% (95% CI 96.6%-99.4%) and a positive predictive value of 74.5% (95% CI 62.7%-83.6%) for index AMI. A 2-h algorithm using a POC hs-cTnI concentration enables safe and efficient risk assessment of patients with suspected AMI. The short turnaround time of POC testing may support significant efficiencies in the management of the large proportion of emergency patients with suspected AMI.

Sections du résumé

BACKGROUND AND AIMS OBJECTIVE
Strategies to assess patients with suspected acute myocardial infarction (AMI) using a point-of-care (POC) high-sensitivity cardiac troponin I (hs-cTnI) assay may expedite emergency care. A 2-h POC hs-cTnI strategy for emergency patients with suspected AMI was derived and validated.
METHODS METHODS
In two international, multi-centre, prospective, observational studies of adult emergency patients (1486 derivation cohort and 1796 validation cohort) with suspected AMI, hs-cTnI (Siemens Atellica® VTLi) was measured at admission and 2 h later. Adjudicated final diagnoses utilized the hs-cTn assay in clinical use. A risk stratification algorithm was derived and validated. The primary diagnostic outcome was index AMI (Types 1 and 2). The primary safety outcome was 30-day major adverse cardiac events incorporating AMI and cardiac death.
RESULTS RESULTS
Overall, 81 (5.5%) and 88 (4.9%) patients in the derivation and validation cohorts, respectively, had AMI. The 2-h algorithm defined 66.1% as low risk with a sensitivity of 98.8% [95% confidence interval (CI) 89.3%-99.9%] and a negative predictive value of 99.9 (95% CI 99.2%-100%) for index AMI in the derivation cohort. In the validation cohort, 53.3% were low risk with a sensitivity of 98.9% (95% CI 92.4%-99.8%) and a negative predictive value of 99.9% (95% CI 99.3%-100%) for index AMI. The high-risk metrics identified 5.4% of patients with a specificity of 98.5% (95% CI 96.6%-99.4%) and a positive predictive value of 74.5% (95% CI 62.7%-83.6%) for index AMI.
CONCLUSIONS CONCLUSIONS
A 2-h algorithm using a POC hs-cTnI concentration enables safe and efficient risk assessment of patients with suspected AMI. The short turnaround time of POC testing may support significant efficiencies in the management of the large proportion of emergency patients with suspected AMI.

Identifiants

pubmed: 38842324
pii: 7688864
doi: 10.1093/eurheartj/ehae343
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Investigateurs

Emily Brownlee (E)
Gavin Fincher (G)
Emma Hall (E)
Rebecca Hancock (R)
Vinay Gangathimmaiah (V)
Christian Hamilton-Craig (C)
Andrew Hobbins-King (A)
Gerben Keijzers (G)
Ellyse McCormick (E)
Siegfried Perez (S)
Andrew Staib (A)
Anna Zournazi (A)
Martin Than (M)

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.

Auteurs

Louise Cullen (L)

Emergency and Trauma Centre, Royal Brisbane and Women's Hospital, Butterfield Street, Herston, 4029 Queensland, Australia.
Australian Centre for Health Services Innovation, Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Musk Avenue, Kelvin Grove, 4059 Queensland, Australia.
Faculty of Medicine, The University of Queensland, Herston Road, Herston, 4006 Queensland, Australia.

Jaimi Greenslade (J)

Emergency and Trauma Centre, Royal Brisbane and Women's Hospital, Butterfield Street, Herston, 4029 Queensland, Australia.
Australian Centre for Health Services Innovation, Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Musk Avenue, Kelvin Grove, 4059 Queensland, Australia.
Faculty of Medicine, The University of Queensland, Herston Road, Herston, 4006 Queensland, Australia.

William Parsonage (W)

Australian Centre for Health Services Innovation, Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Musk Avenue, Kelvin Grove, 4059 Queensland, Australia.
Department of Cardiology, Royal Brisbane and Women's Hospital, Brisbane, Australia.

Laura Stephensen (L)

Emergency and Trauma Centre, Royal Brisbane and Women's Hospital, Butterfield Street, Herston, 4029 Queensland, Australia.

Stephen W Smith (SW)

Department of Emergency Medicine at Hennepin Healthcare/Hennepin County Medical Center, University of Minnesota School of Medicine, Minneapolis, MN, USA.

Yader Sandoval (Y)

Minneapolis Heart Institute, Abbott Northwestern Hospital and Center for Coronary Artery Disease, Minneapolis Heart Institute Foundation, Minneapolis, MN, USA.

Isuru Ranasinghe (I)

Faculty of Medicine, The University of Queensland, Herston Road, Herston, 4006 Queensland, Australia.
Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia.

Niranjan Gaikwad (N)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia.

Maryam Khorramshahi Bayat (M)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia.

Ehsan Mahmoodi (E)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia.

Karen Schulz (K)

Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.

Martin Than (M)

Emergency Department, Christchurch Hospital, Christchurch, New Zealand.

Fred S Apple (FS)

Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Clinical and Forensic Toxicology Laboratory, Hennepin Healthcare/Hennepin County Medical Center, Minneapolis, MN, USA.

Classifications MeSH