Related Experiment Videos
Sudden death in ischemic heart disease - 2017
1Harvard Medical School, Boston, MA, USA; Clinical Electrophysiology and ECG Laboratories, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Insights
Current implantable cardioverter-defibrillator (ICD) guidelines for coronary heart disease (CHD) patients miss many who could benefit and expose others to risks. New models using clinical markers can improve ICD use for sudden cardiac death (SCD) prevention.
Area of Science:
- Cardiology
- Electrophysiology
- Medical Device Technology
Background:
- Current guidelines for implantable cardioverter-defibrillators (ICDs) in coronary heart disease (CHD) patients are primarily based on broad mortality risk reduction from randomized trials.
- These trials often overlook the specific pathophysiology of ventricular tachyarrhythmias and sudden cardiac death (SCD) in CHD.
- This approach leads to suboptimal ICD utilization, missing eligible patients and exposing others to unnecessary risks and costs.
Purpose of the Study:
- To explore strategies for advancing the use of ICDs in CHD patients to improve survival.
- To identify methods for more precise patient selection for ICD therapy.
- To better understand and address the mechanisms of SCD in CHD.
Main Methods:
- Review of existing guidelines and randomized clinical trial methodologies for ICD use in CHD.
- Discussion of predictive models utilizing comorbidities and clinical markers to identify patients unlikely to benefit from ICDs.
- Exploration of the role of autonomic nervous system, hemodynamic conditions, and left ventricular geometry in arrhythmogenesis.
- Consideration of animal models and human physiological studies for post-infarction arrhythmias.
Main Results:
- Existing guidelines may not accurately identify all patients who would benefit from ICDs, nor exclude those who would not.
- Predictive models using comorbidities show potential for improving ICD appropriateness.
- Multiple mechanisms, influenced by autonomic and hemodynamic factors, contribute to SCD in CHD.
- Altered left ventricular geometry and autonomic interactions play roles in arrhythmia genesis.
Conclusions:
- There is a need to refine ICD selection criteria beyond broad mortality risk, potentially using predictive models based on clinical markers.
- Further research into the complex mechanisms of SCD in CHD, including autonomic and hemodynamic influences, is crucial.
- Prospective validation of predictive models and integration of basic science findings into clinical trials are necessary to optimize ICD therapy and reduce SCD in CHD patients.
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.