Hyperacute T Wave in the Early Diagnosis of Acute Myocardial Infarction.
Journal
Annals of emergency medicine
ISSN: 1097-6760
Titre abrégé: Ann Emerg Med
Pays: United States
ID NLM: 8002646
Informations de publication
Date de publication:
08 2023
08 2023
Historique:
received:
24
12
2021
revised:
28
11
2022
accepted:
01
12
2022
medline:
24
7
2023
pubmed:
12
2
2023
entrez:
11
2
2023
Statut:
ppublish
Résumé
The diagnostic performance of T-wave amplitudes for the detection of myocardial infarction is largely unknown. We aimed to address this knowledge gap. T-wave amplitudes were automatically measured in 12-lead ECGs of patients presenting with acute chest discomfort to the emergency department within a prospective diagnostic multicenter study. The final diagnosis was centrally adjudicated by 2 independent cardiologists. Patients with left ventricular hypertrophy, complete left bundle branch block, or paced ventricular depolarization were excluded. The performance for lead-specific 95th-percentile thresholds were reported as likelihood ratios (lr), specificity, and sensitivity. Myocardial infarction was the final diagnosis in 445 (18%) of 2457 patients. In most leads, T-wave amplitudes tended to be greater in patients without myocardial infarction than those with myocardial infarction, and T-wave amplitude exceeding the 95th percentile had positive and negative lr close to 1 or with confidence intervals (CIs) crossing 1. The exceptions were leads III, aVR, and V1, which had positive lrs of 3.8 (95% CI, 2.7 to 5.3), 4.3 (95% CI, 3.1 to 6.0) and 2.0 (95% CI, 1.4 to 2.9), respectively. These leads normally have inverted T waves, so T-wave amplitude exceeding the 95th percentile reflects upright rather than increased-amplitude hyperacute T waves. Hyperacute T waves, when defined as increased T-wave amplitude exceeding the 95th percentile, did not provide useful information in diagnosing myocardial infarction in this sample.
Identifiants
pubmed: 36774205
pii: S0196-0644(22)01327-0
doi: 10.1016/j.annemergmed.2022.12.003
pii:
doi:
Banques de données
ClinicalTrials.gov
['NCT00470587']
Types de publication
Multicenter Study
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
194-202Investigateurs
Mario Meier
(M)
Valentina Troester
(V)
Matthias Diebold
(M)
Jeffrey Huber
(J)
Benjamin Baumgartner
(B)
Eliska Potlukova
(E)
Benjamin Hafner
(B)
Hadrien Schoepfer
(H)
Michael Buechi
(M)
Tania Coscia
(T)
Nicolas Geigy
(N)
Mahnoor Anwar
(M)
Christian Puelacher
(C)
Jeanne du Fay de Lavallaz
(J)
Noemi Glarner
(N)
Michael Freese
(M)
Maria Belkin
(M)
Beatriz Lopez
(B)
Sofia Calderón
(S)
Esther Rodriguez Adrada
(ER)
Beata Morawiec
(B)
Piotr Munzyk
(P)
Arnold von Eckardstein
(A)
Isabel Campodarve
(I)
Sandra Mitrovic
(S)
Katharina Rentsch
(K)
Andreas Buser
(A)
Stefan Osswald
(S)
Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2022 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.