Literature DB >> 26299233

Evaluation of Selvester QRS score for use in presence of conduction abnormalities in a broad population.

Björn Wieslander1, Robin Nijveldt2, Igor Klem3, Yuliya Lokhnygina4, John Pura4, Galen S Wagner4, Martin Ugander1, Brett D Atwater5.   

Abstract

BACKGROUND: The Selvester QRS score is an electrocardiographic tool designed to quantify myocardial scar. It was updated in 2009 to expand its usefulness in patients with conduction abnormalities such as bundle-branch and fascicular blocks. There is need to further validate the updated score in a broader group of patients with cardiovascular disease and conduction abnormalities. We primarily hypothesized that the updated score could distinguish between presence and absence of scar by cardiac magnetic resonance imaging (CMR) with late gadolinium enhancement in 4 groups of patients with distinct conduction abnormalitites.
METHODS: A total of 193 patients were retrospectively identified that had received an electrocardiogram (ECG) and a CMR scan at Duke University Medical Center between January 2011 and August 2013: 62 with left bundle-branch block, 51 with right bundle-branch block (RBBB), 43 with left anterior fascicular block (LAFB), and 37 with RBBB + LAFB. Scar sizes estimated by ECG and by CMR were compared using scatterplots, modified Bland-Altman plots, and receiver operating characteristics curves.
RESULTS: Of 193 patients, 96 (50%) had no scar by CMR. The QRS score generally overestimated CMR scar. The area under the curve ranged between 0.62 and 0.65 for the different conduction types, and 95% confidence intervals included 0.5 for all conduction types. Performance was slightly improved in LAFB and RBBB + LAFB by excluding all points derived from leads V4-V6.
CONCLUSIONS: The Selvester QRS score for use in conduction abnormalities needs to be improved, primarily its specificity, to enable effective clinical use in a population with a wide range of left ventricular ejection fraction and low pretest probability of myocardial scar.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26299233     DOI: 10.1016/j.ahj.2015.05.005

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  3 in total

1.  Low lead one ratio predicts clinical outcomes in left bundle branch block.

Authors:  Zak Loring; Brett D Atwater; Xiaojuan Xia; Jimmy Axelsson; Igor Klem; Robin Nijveldt; Erik B Schelbert; Jean-Philippe Couderc; David G Strauss; Martin Ugander; Björn Wieslander
Journal:  J Cardiovasc Electrophysiol       Date:  2019-02-19

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.  Association of electrocardiographic markers with myocardial fibrosis as assessed by cardiac magnetic resonance in different clinical settings.

Authors:  George Bazoukis; Sebastian Garcia-Zamora; Göksel Çinier; Sharen Lee; Enes Elvin Gul; Jesús Álvarez-García; Gabi Miana; Mert İlker Hayıroğlu; Gary Tse; Tong Liu; Adrian Baranchuk
Journal:  World J Cardiol       Date:  2022-09-26
  3 in total

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