Lars A. Dejgaard

An integrative appraisal of mechano-electric feedback mechanisms in the heart

Mechanically-induced alterations in cardiac electrophysiology are referred to as mechano-electric feedback (MEF), and play an important role in electrical regulation of cardiac performance. The influence of mechanical stress and strain on electrophysiology has been investigated at all levels, however the role of MEF in arrhythmia remains poorly understood. During the normal contraction of the heart, mechano-sensitive processes are an implicit component of cardiac activity. Under abnormal mechanical events, stretch-activated mechanisms may contribute to local or global changes in electrophysiology (EP). While such mechanisms have been hypothesised to be involved in mechanically-initiated arrhythmias, the details of these mechanisms and their importance remain elusive. We assess the theoretical role of stretch mechanisms using coupled models of cellular electrophysiology and sarcomere contraction dynamics. Using models of single ventricular myocytes, we first investigated the potential MEF contributions of stretch-activated currents (SAC), and stretch-induced myofilament calcium release, to test how strain and fibrosis may alter cellular electrophysiology. For all models investigated, SACs were alone not sufficient to create a pro-arrhythmic perturbation of the action potential with stretch. However, when combined with stretch-induced myofilament calcium release, the action potential could be shortened depending on the timing of the strain. This effect was highly model dependent, with a canine epicardial EP model being the most sensitive. These model results suggest that known mechanisms of mechano-electric coupling in cardiac myocyte may be sufficient to be pro-arrhythmic, but only in combination and under specific strain patterns.

Global Longitudinal Strain: Ready for Clinical Use and Guideline Implementation∗

SEE PAGE 1947 C ardiac function is a powerful prognostic marker. A great number of clinical decisions are based on the performance of the left ventricle, such as medication for heart failure (HF), primary prevention implantable cardiac defibrillator treatment, and timing of valve interventions, among others. The method for assessing left ventricular function has long been synonymous with the left ventricular ejection fraction (EF), a term with >70,000 hits on PubMed. Other methods to evaluate left ventricular function were introduced during the past years, but were most often discarded. Myocardial strain imaging was introduced in the 1990s and this method has persisted, although its path to acceptance by the medical community has been thorny (1,2). Global longitudinal strain (GLS) has emerged as a fine-tuned, highly reproducible, and operatorfriendly method for quantification of left ventricular function and prognostication in a wide spectrum of cardiac diseases (3). Long ago accepted in the cardiac imaging research community and headlining numerous conferences over the last decade, the way toward guideline implementation of GLS moves slowly ahead. Skepticism against the specifics of the underlying technology (vendor secrecy) and potential vendor differences is legitimate (4), but seems to overshadow the growing pile of evidence for the clinical use and added value of GLS beyond EF.

Lower than expected burden of premature ventricular contractions impairs myocardial function

We aimed to explore the burden of frequent premature ventricular contractions (PVCs) associated with myocardial dysfunction in patients with outflow tract arrhythmia (OTA). We hypothesized that this threshold is lower than the previously suggested threshold of 24 000 PVCs/24 h (24%PVC) when systolic function is assessed by strain echocardiography. Furthermore, we aimed to characterize OTA patients with malignant arrhythmic events.

The systolic paradox in hypertrophic cardiomyopathy

Objective We explored cardiac volumes and the effects on systolic function in hypertrophic cardiomyopathy (HCM) patients with left ventricular hypertrophy (HCM LVH+) and genotype-positive patients without left ventricular hypertrophy (HCM LVH−). Methods We included 180 HCM LVH+, 100 HCM LVH− patients and 80 healthy individuals. End-Diastolic Volume Index (EDVI), End-Systolic Volume Index (ESVI) and ejection fraction (EF) were assessed by echocardiography. Left ventricular (LV) global longitudinal strain (GLS) was measured by speckle tracking echocardiography. Results EDVI and ESVI were significantly smaller in HCM LVH+ compared with HCM LVH− patients (41±14 mL/m2 vs 49±13 mL/m2 and 16±7 mL/m2 vs 19±6 mL/m2, respectively, both p<0.001) and in healthy individuals (41±14 mL/m2 vs 57±14 mL/m2 and 16±7 mL/m2 vs 23±9 mL/m2, respectively, both p<0.001). HCM LVH− patients had significantly lower EDVI and ESVI compared with healthy individuals (49±13 mL/m2 vs 57±14 mL/m2 and 19±6 mL/m2 vs 23±9 mL/m2, both p<0.001). EF was similar (61%±7% vs 60%±8% vs 61%±6%, p=0.43) in the HCM LVH+, HCM LVH– and healthy individuals, despite significantly worse GLS in the HCM LVH+ (−16.4%±3.7% vs −21.3%±2.4% vs −22.3%±3.7%, p<0.001). GLS was worse in the HCM LVH− compared with healthy individuals in pairwise comparison (p=0.001). Decrease in ESVI was closely related to EF in HCM LVH+ and HCM LVH− (R=0.45, p<0.001 and R=0.43, p<0.001) as expected, but there was no relationship with GLS (R=0.02, p=0.77 and R=0.11, p=0.31). Increased maximal wall thickness (MWT) correlated significantly with worse GLS (R=0.58, p<0.001), but not with EF (R=0.018, p=0.30) in the HCM LVH+ patients. Conclusion HCM LVH+ had smaller cardiac volumes that could explain the preserved EF, despite worse GLS that was closely related to MWT. HCM LVH− had reduced cardiac volumes and subtle changes in GLS compared with healthy individuals, indicating a continuum of both volumetric and systolic changes present before increased MWT.

Data on exercise and cardiac imaging in a patient cohort with hypertrophic cardiomyopathy

Data presented in this paper are supplementary material to our study “Vigorous exercise in patients with hypertrophic cardiomyopathy” [1]. The current article presents supplementary data on collection and analyses of exercise parameters and genetic data in the original research article.