Literature DB >> 28236543

Diagnostic and prognostic values of the V-index, a novel ECG marker quantifying spatial heterogeneity of ventricular repolarization, in patients with symptoms suggestive of non-ST-elevation myocardial infarction.

Roger Abächerli1, Raphael Twerenbold2, Jasper Boeddinghaus2, Thomas Nestelberger2, Patrick Mächler2, Roberto Sassi3, Massimo W Rivolta3, Ebadollah Kheirati Roonizi3, Luca T Mainardi4, Nikola Kozhuharov5, Maria Rubini Giménez2, Karin Wildi2, Karin Grimm2, Zaid Sabti2, Petra Hillinger2, Christian Puelacher2, Ivo Strebel2, Janosch Cupa2, Patrick Badertscher2, Isabelle Roux2, Ramun Schmid6, Remo Leber6, Stefan Osswald2, Christian Mueller2, Tobias Reichlin7.   

Abstract

BACKGROUND: The V-index is an ECG marker quantifying spatial heterogeneity of ventricular repolarization. We prospectively assessed the diagnostic and prognostic values of the V-index in patients with suspected non-ST-elevation myocardial infarction (NSTEMI).
METHODS: We prospectively enrolled 497 patients presenting with suspected NSTEMI to the emergency department (ED). Digital 12-lead ECGs of five-minute duration were recorded at presentation. The V-index was automatically calculated in a blinded fashion. Patients with a QRS duration >120ms were ruled out from analysis. The final diagnosis was adjudicated by two independent cardiologists. The prognostic endpoint was all-cause mortality during 24months of follow-up.
RESULTS: NSTEMI was the final diagnosis in 14% of patients. V-index levels were higher in patients with AMI compared to other causes of chest pain (median 23ms vs. 18ms, p<0.001). The use of the V-index in addition to conventional ECG-criteria improved the diagnostic accuracy for the diagnosis of NSTEMI as quantified by area under the ROC curve from 0.66 to 0.73 (p=0.001) and the sensitivity of the ECG for AMI from 41% to 86% (p<0.001). Cumulative 24-month mortality rates were 99.4%, 98.4% and 88.3% according to tertiles of the V-index (p<0.001). After adjustment for age and important ECG and clinical parameters, the V-index remained an independent predictor of death.
CONCLUSIONS: The V-index, an ECG marker quantifying spatial heterogeneity of ventricular repolarization, significantly improves the accuracy and sensitivity of the ECG for the diagnosis of NSTEMI and independently predicts mortality during follow-up.
Copyright © 2017 Elsevier B.V. All rights reserved.

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Year:  2017        PMID: 28236543     DOI: 10.1016/j.ijcard.2017.01.151

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  4 in total

1.  Diagnostic value of the cardiac electrical biomarker, a novel ECG marker indicating myocardial injury, in patients with symptoms suggestive of non-ST-elevation myocardial infarction.

Authors:  Ivo Strebel; Raphael Twerenbold; Jasper Boeddinghaus; Roger Abächerli; Maria Rubini Giménez; Karin Wildi; Karin Grimm; Christian Puelacher; Patrick Badertscher; Zaid Sabti; Dominik Breitenbücher; Janina Jann; Farah Selman; Jeanne du Fay de Lavallaz; Nicolas Schaerli; Thomas Nestelberger; Claudia Stelzig; Michael Freese; Lukas Schumacher; Stefan Osswald; Christian Mueller; Tobias Reichlin
Journal:  Ann Noninvasive Electrocardiol       Date:  2018-02-24       Impact factor: 1.468

2.  Automatically computed ECG algorithm for the quantification of myocardial scar and the prediction of mortality.

Authors:  Patrick Badertscher; Ivo Strebel; Ursina Honegger; Nicolas Schaerli; Deborah Mueller; Christian Puelacher; Max Wagener; Roger Abächerli; Joan Walter; Zaid Sabti; Lorraine Sazgary; Stella Marbot; Jeanne du Fay de Lavallaz; Raphael Twerenbold; Jasper Boeddinghaus; Thomas Nestelberger; Nikola Kozhuharov; Tobias Breidthardt; Samyut Shrestha; Dayana Flores; Carmela Schumacher; Damian Wild; Stefan Osswald; Michael J Zellweger; Christian Mueller; Tobias Reichlin
Journal:  Clin Res Cardiol       Date:  2018-04-17       Impact factor: 5.460

3.  Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome.

Authors:  Zeineb Bouzid; Ziad Faramand; Richard E Gregg; Stephanie Helman; Christian Martin-Gill; Samir Saba; Clifton Callaway; Ervin Sejdić; Salah Al-Zaiti
Journal:  J Electrocardiol       Date:  2021-07-23       Impact factor: 1.438

4.  In Search of an Optimal Subset of ECG Features to Augment the Diagnosis of Acute Coronary Syndrome at the Emergency Department.

Authors:  Zeineb Bouzid; Ziad Faramand; Richard E Gregg; Stephanie O Frisch; Christian Martin-Gill; Samir Saba; Clifton Callaway; Ervin Sejdić; Salah Al-Zaiti
Journal:  J Am Heart Assoc       Date:  2021-01-17       Impact factor: 5.501

  4 in total

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