Literature DB >> 32577742

Electro-mechanics or mechano-electrics, an intricate interplay.

Kristina H Haugaa1,2, Ida S Leren3.   

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Year:  2020        PMID: 32577742      PMCID: PMC7573739          DOI: 10.1093/ehjci/jeaa186

Source DB:  PubMed          Journal:  Eur Heart J Cardiovasc Imaging        ISSN: 2047-2404            Impact factor:   6.875


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This editorial refers to ‘Left ventricular myocardial deformation pattern, mechanical dispersion and their relation with ECG markers in the large population-based STANISLAS cohort: insights into electro-mechanical coupling’ by M. Verdugo-Marchese Excitation–contraction coupling, describing how electrical signals translate to mechanical activity, is extensively studied both in animal models and in patients with electrical diseases, cardiomyopathies, and heart failure. However, translation to clinical practice is not straightforward. Lessons learnt from imaging studies in cardiac resynchronization therapy (CRT) candidates have highlighted that understanding the field of electro-mechanical interactions is complicated. Typical measures of myocardial electrical delay and inhomogeneity are increased QRS duration and QT duration on electrocardiogram (ECG), representing delay in intraventricular conduction and electrical repolarization. Prolonged QRS duration affects the electro-mechanical interplay, as clearly illustrated in patients with left bundle branch block and echocardiographic finding of dyssynchronous contractions. Strain echocardiography is superior in detecting regional differences in contraction magnitude and timing, and can accurately visualize dyssynchrony in ventricular segments. Mechanical dispersion is a measure of inhomogeneous myocardial contractions and is increasingly recognized as a marker of ventricular arrhythmias. Improving electrical dyssynchrony by CRT improves mechanical synchrony in patients responding to this therapy and thereby increase the systolic cardiac function. Unfortunately, attempts to use echocardiography to select patients for CRT has failed in large, randomized trials despite the initial optimism and promise of this technique., Prolonged QT duration on ECG also translate to mechanical consequences. Previous studies have indicated that patients with long QT syndrome (LQTS), an inherited electrical disorder with increased risk of ventricular arrhythmias, have mechanical alterations detectable by strain echocardiography. These patients have prolonged contraction duration and increased mechanical dispersion, reflecting mechanical consequences of electrical disease, and subsequent increased risk of ventricular arrhythmias. Furthermore, this assumed purely electrical disorder leads to altered myocardial relaxation, influencing systolic and diastolic cardiac function. The full spectrum of electro-mechanical interactions in healthy individuals with normal cardiac function is less extensively studied. In this issue of the European Heart Journal – Cardiovascular Imaging, Verdugo-Marchese et al. add to existing knowledge by presenting electro-mechanical data from a large French cohort of healthy individuals. The authors compared the electrical parameters QRS and QTc duration with strain echocardiographic data including left ventricular function by global longitudinal strain (GLS) and mechanical dispersion. The individuals with the longest QRS duration had the lowest GLS, probably reflecting non-optimal contractions induced by electrical delay. Mechanical dispersion was not affected by longer QRS duration, likely because QRS duration was still within normal and physiological ranges. In contrast, longer QTc was associated with increased mechanical dispersion. The authors concluded that physiological variability in QRS and QT duration were associated with subtle, but significant changes in myocardial deformation patterns, which may improve our understanding of electro-mechanical coupling in the healthy heart. This study adds to previous knowledge by reporting electro-mechanics in a large number of healthy subjects. The results largely support previous studies in patients with long QT syndrome (LQTS) showing that prolonged QT duration increase mechanical dispersion. This finding is also in accordance with the fact that both prolonged QT and increased mechanical dispersion are markers of increased risk of ventricular arrhythmias. The current study reports better GLS values in the quartile of patients with longest QT duration. This is in contrast to previous reports from LQTS patients, showing worse GLS in those with longest QTc. However, the QT intervals in the current study on healthy individuals were within normal range. One may hypothesize that the optimal QT interval needed for maximum GLS values lies in the upper normal limit, and that both longer and shorter QT duration will result in worse GLS. The optimal interaction between electrical and mechanical systole has been studied previously showing that the end of the ECG T wave should coincide with aortic valve closure in healthy individuals. Any deviation from this rule, as seen in patients with long QT syndrome and short QT syndrome, increase arrhythmic risk and probably leads to non-optimal contractions and GLS. It is important to emphasize that the data presented in the current study are from healthy individuals, and consequently differences will be small as measurements are within normal limits. This will inevitably result in less variability in the results. The clinical value of these data may seem hard to interpret and, certainly, the link to ventricular arrhythmias cannot be explored. Nevertheless, the data from Verdugo-Marchese et al. come from a large cohort, which increase the reliability of data and provide new insight to this intricate field. The individuals in the current study were relatively young (49 years). Previous age-specific studies in healthy individuals have indicated an increase in mechanical dispersion by age. Whether electro-mechanical interactions change by age, or have clinical implications may be investigated in future studies. Elucidating electro-mechanical interactions in healthy individuals is important to improve understanding of the delicate interplay between electrical signals and myocardial contractions and may add information on how this intricate system is meant to work. In CRT treatment, the aim is to re-establish electrical synchronization and thereby improve mechanical dyssynchrony and cardiac function. Prediction of response is notoriously difficult, and the search for prognostic parameters beyond QRS duration and left ventricular ejection fraction is extensive. Better understanding of the healthy electro-mechanical interplay may be an important stepping-stone for this field of research. Conflict of interest: K.H.H. has licensed a patent on mechanical dispersion to GE. The other author declared no conflict of interest.
  10 in total

1.  Cardiac-resynchronization therapy in heart failure with a narrow QRS complex.

Authors:  Frank Ruschitzka; William T Abraham; Jagmeet P Singh; Jeroen J Bax; Jeffrey S Borer; Josep Brugada; Kenneth Dickstein; Ian Ford; John Gorcsan; Daniel Gras; Henry Krum; Peter Sogaard; Johannes Holzmeister
Journal:  N Engl J Med       Date:  2013-09-02       Impact factor: 91.245

Review 2.  Imaging assessment of ventricular mechanics.

Authors:  Thor Edvardsen; Kristina H Haugaa
Journal:  Heart       Date:  2011-08       Impact factor: 5.994

3.  Physiological Determinants of Left Ventricular Mechanical Dispersion: A 2-Dimensional Speckle Tracking Echocardiographic Study in Healthy Volunteers.

Authors:  Hugo Rodríguez-Zanella; Kristina Haugaa; Francesca Boccalini; Eleonora Secco; Thor Edvardsen; Luigi P Badano; Denisa Muraru
Journal:  JACC Cardiovasc Imaging       Date:  2017-10-05

4.  Cardiac Mechanical Alterations and Genotype Specific Differences in Subjects With Long QT Syndrome.

Authors:  Ida S Leren; Nina E Hasselberg; Jørg Saberniak; Trine F Håland; Erik Kongsgård; Otto A Smiseth; Thor Edvardsen; Kristina H Haugaa
Journal:  JACC Cardiovasc Imaging       Date:  2015-04-15

5.  Left ventricular myocardial deformation pattern, mechanical dispersion, and their relation with electrocardiogram markers in the large population-based STANISLAS cohort: insights into electromechanical coupling.

Authors:  Mario Verdugo-Marchese; Stefano Coiro; Christine Selton-Suty; Masatake Kobayashi; Erwan Bozec; Zohra Lamiral; Clément Venner; Faiez Zannad; Patrick Rossignol; Nicolas Girerd; Olivier Huttin
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2020-10-20       Impact factor: 6.875

6.  Strain echocardiography improves risk prediction of ventricular arrhythmias after myocardial infarction.

Authors:  Kristina H Haugaa; Bjørnar L Grenne; Christian H Eek; Mads Ersbøll; Nana Valeur; Jesper H Svendsen; Anca Florian; Benthe Sjøli; Harald Brunvand; Lars Køber; Jens-Uwe Voigt; Walter Desmet; Otto A Smiseth; Thor Edvardsen
Journal:  JACC Cardiovasc Imaging       Date:  2013-07-10

7.  Transmural differences in myocardial contraction in long-QT syndrome: mechanical consequences of ion channel dysfunction.

Authors:  Kristina Hermann Haugaa; Jan P Amlie; Knut Erik Berge; Trond P Leren; Otto A Smiseth; Thor Edvardsen
Journal:  Circulation       Date:  2010-09-20       Impact factor: 29.690

8.  Results of the Predictors of Response to CRT (PROSPECT) trial.

Authors:  Eugene S Chung; Angel R Leon; Luigi Tavazzi; Jing-Ping Sun; Petros Nihoyannopoulos; John Merlino; William T Abraham; Stefano Ghio; Christophe Leclercq; Jeroen J Bax; Cheuk-Man Yu; John Gorcsan; Martin St John Sutton; Johan De Sutter; Jaime Murillo
Journal:  Circulation       Date:  2008-05-05       Impact factor: 29.690

9.  Electromechanical window negativity in genotyped long-QT syndrome patients: relation to arrhythmia risk.

Authors:  Rachel M A ter Bekke; Kristina H Haugaa; Arthur van den Wijngaard; J Martijn Bos; Michael J Ackerman; Thor Edvardsen; Paul G A Volders
Journal:  Eur Heart J       Date:  2014-09-08       Impact factor: 29.983

10.  Left ventricular mechanical dispersion by tissue Doppler imaging: a novel approach for identifying high-risk individuals with long QT syndrome.

Authors:  Kristina Hermann Haugaa; Thor Edvardsen; Trond P Leren; Jon Michael Gran; Otto A Smiseth; Jan P Amlie
Journal:  Eur Heart J       Date:  2008-10-21       Impact factor: 29.983

  10 in total

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