Literature DB >> 34900558

Echocardiography-Guided Arrhythmic Risk Prediction in the Long QT Syndrome.

Rakesh Agarwal1, Anunay Gupta2.   

Abstract

Entities:  

Year:  2021        PMID: 34900558      PMCID: PMC8603778          DOI: 10.4103/jcecho.jcecho_20_21

Source DB:  PubMed          Journal:  J Cardiovasc Echogr        ISSN: 2211-4122


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A 31-year old man presented to the cardiology emergency department with palpitations. An electrocardiogram (ECG) obtained showed polymorphic ventricular tachycardia [Figure 1a]. The patient developed cardiac arrest in the ER and was resuscitated with synchronized direct current cardioversion. A baseline ECG showed prolonged QT (corrected QTc 641 msec by Bazett's formula) [Figure 1b].
Figure 1

(a) ECG showing VT; (b) Baseline ECG showing Long QT; (c) Electromechanical Window on Echocardiography

(a) ECG showing VT; (b) Baseline ECG showing Long QT; (c) Electromechanical Window on Echocardiography Echocardiography revealed no structural abnormality. However, the electromechanical window (EMW) was found to be negative with a value of − 49 ms [Figure 1c]. Coronary angiography and cardiac magnetic resonance imaging were normal. An implantable cardioverter-defibrillator was implanted and the patient was discharged for routine follow-up. The electromechanical window refers to the difference between mechanical and electrical systole in the same heart beat. Normally, mechanical systole is longer than electrical systole, resulting in the EMW being a positive number. In patients with long QT syndrome (LQTS), the EMW is negative as the electrical systole becomes prolonged.[1] Mechanical systole is calculated from beginning of QRS to aortic valve closure. Electrical systole is calculated as the QT interval from the ECG for the same beat. EMW has been shown to outperform QTc in predicting symptomatic patients. Furthermore, the measurement has shown good reliability among different operators. Exercise-induced greater negativity of the EMW and drug response as judged by reduced negative values (i.e., more positive values) may provide assessment of arrhythmic risk in patients with LQTS.[23]

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent forms. In the form the patient(s) has/have given his/her/their consent for his/her/their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  3 in total

1.  Echocardiography-Guided Risk Stratification for Long QT Syndrome.

Authors:  Alan Sugrue; Martin van Zyl; Nick Enger; Katie Mancl; Benjamin W Eidem; Jae K Oh; J Martijn Bos; Samuel J Asirvatham; Michael J Ackerman
Journal:  J Am Coll Cardiol       Date:  2020-12-15       Impact factor: 24.094

2.  A new preclinical biomarker for risk of Torsades de Pointes: drug-induced reduction of the cardiac electromechanical window.

Authors:  Hugo M Vargas
Journal:  Br J Pharmacol       Date:  2010-12       Impact factor: 8.739

3.  Exercise worsening of electromechanical disturbances: A predictor of arrhythmia in long QT syndrome.

Authors:  Dafni Charisopoulou; George Koulaouzidis; Annika Rydberg; Henein Y Michael
Journal:  Clin Cardiol       Date:  2018-12-22       Impact factor: 2.882

  3 in total

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