Abstract
At this time, we find ourselves with an abundance of guidelines for management of
patients with manifest ventricular tachyarrhythmias, or at risk for such arrhythmias,
in patients with coronary heart disease (CHD). The guidelines are focused primarily
on the “appropriate use” of the implantable cardioverter/defibrillator (ICD). Unfortunately,
the bulk of the guidelines have very little basis in the underlying pathophysiology
responsible for sudden cardiac death (SCD) in patients with CHD. Rather, they are
based primarily on the results of randomized clinical trials that merely sought to
take broad populations at elevated total mortality risk and determining whether the
ICD can reduce overall mortality. The trials were not aimed at elucidating or exploiting
the varying pathophysiology responsible for the ventricular arrhythmias responsible
for most sudden deaths in this setting. The goal of the trials is appropriate – to
improve the survival. The problem with promoting trials that solely determine whether
a broad-based population (identified by one parameter such as ejection fraction that
bears no direct relation to the pathogenesis of arrhythmias) derives a survival benefit
from a therapy such as the ICD, is that many patients that could benefit from the
ICD are missed (not covered by the guidelines), and many patients that will never
benefit from the ICD are exposed to its risks and costs.
How can we advance the use of potent, but expensive therapies that carry risk such
as the ICD to improve survival of patients with CHD today? There are several avenues
worth pursuing, both for short-term as well as long-term gain. First, there are several
models shown to have the potential to identify patients currently covered by the guidelines
for ICD use, that are highly unlikely to benefit, because of the existing co-morbidities.
These models are likely to be valid because there is significant overlap in the parameters
identified in each model, and they have been tested retrospectively in a variety of
study populations. These models are not likely to be incorporated into use guidelines,
until they have been tested prospectively in a randomized trial in a contemporary
patient population. This can, and should be done. Use of such a model, based on noninvasive,
readily available clinical markers offers the possibility of improving the efficiency
with which ICDs are used to reduce the risk of SCD in CHD patients.
Second, we need to recognize the fact that SCD in this population is a result of multiple
potential mechanisms. And, the electrophysiologic substrates underlying these mechanisms
are influenced by interactions with the autonomic nervous system and hemodynamic conditions.
While most out-of-hospital cardiac arrests do not occur in persons with overt heart
failure, the presence of heart failure clearly increases the risk for SCD, likely
by a variety of mechanisms. There is increasing evidence that altered left ventricular
geometry may not only reduce LV mechanical efficiency, but may also have direct effects
on the electrophysiologic substrate. Although there is an abundance of evidence supporting
the importance of autonomic interactions in the genesis of spontaneous arrhythmias,
the utility of prospectively measuring autonomic indices to predict future arrhythmic
events has to date not proven to be useful. Of course, that is not to discount the
significant impact of beta-adrenergic blockade on survival and reducing arrhythmic
events. Future works must focus more on both animal models of post-infarction arrhythmias,
as well as integrating findings from such studies into human physiology, with subsequent
testing in the form of randomized clinical trials.
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Article info
Publication history
Published online: March 10, 2017
Accepted:
March 9,
2017
Received:
March 7,
2017
Identification
Copyright
© 2017 Elsevier B.V. All rights reserved.