Alternative research funding to improve clinical outcomes: model of prediction and prevention of sudden cardiac death

Increased Epicardial Adipose Tissue (EAT), Left Coronary Artery Plaque Morphology, and Valvular Atherosclerosis as Risks Factors for Sudden Cardiac Death from a Forensic Perspective

Background: In sudden cardiac deaths (SCD), visceral adipose tissue has begun to manifest interest as a standalone cardiovascular risk factor. Studies have shown that epicardial adipose tissue can be seen as a viable marker of coronary atherosclerosis. This study aimed to evaluate, from a forensic perspective, the correlation between body mass index (BMI), heart weight, coronary and valvular atherosclerosis, left ventricular morphology, and the thickness of the epicardial adipose tissue (EAT) in sudden cardiac deaths, establishing an increased thickness of EAT as a novel risk factor. Methods: This is a retrospective case−control descriptive study that included 80 deaths that were autopsied, 40 sudden cardiac deaths, and 40 control cases who hanged themselves and had unknown pathologies prior to their death. In all the autopsies performed, the thickness of the epicardial adipose tissue was measured in two regions of the left coronary artery, and the left ventricular morphology, macro/microscopically quantified coronary and valvular atherosclerosis, and weight of the heart were evaluated. Results: This study revealed a higher age in the SCD group (58.82 ± 9.67 vs. 53.4 ± 13.00; p = 0.03), as well as a higher incidence in females (p = 0.03). In terms of heart and coronary artery characteristics, there were higher values of BMI (p = 0.0009), heart weight (p < 0.0001), EAT of the left circumflex artery (LCx) (p < 0.0001), and EAT of the left anterior descending artery (LAD) (p < 0.0001). In the multivariate analysis, a high baseline value of BMI (OR: 4.05; p = 0.004), heart weight (OR: 5.47; p < 0.001), EAT LCx (OR: 23.72; p < 0.001), and EAT LAD (OR: 21.07; p < 0.001) were strong independent predictors of SCD. Moreover, age over 55 years (OR: 2.53; p = 0.045), type Vb plaque (OR: 17.19; p < 0.001), mild valvular atherosclerosis (OR: 4.88; p = 0.002), and moderate left ventricle dilatation (OR: 16.71; p = 0.008) all act as predictors of SCD. Conclusions: The data of this research revealed that higher baseline values of BMI, heart weight, EAT LCx, and EAT LAD highly predict SCD. Furthermore, age above 55 years, type Vb plaque, mild valvular atherosclerosis, and left ventricle dilatation were all risk factors for SCD.

Strategies for Sudden Cardiac Death Prevention

Sudden cardiac death (SCD) represents a major challenge in modern medicine. The prevention of SCD orbits on two levels, the general population level and individual level. Much research has been done with the aim to improve risk stratification of SCD, although no radical changes in evidence and in therapeutic strategy have been achieved. Artificial intelligence (AI), and in particular machine learning (ML) models, represent novel technologic tools that promise to improve predictive ability of fatal arrhythmic events. In this review, firstly, we analyzed the electrophysiological basis and the major clues of SCD prevention at population and individual level; secondly, we reviewed the main research where ML models were used for risk stratification in other field of cardiology, suggesting its potentiality in the field of SCD prevention.

Health Care Costs After Cardiac Arrest in the United States

BACKGROUND

This study was designed to estimate the costs of index hospitalizations after cardiac arrest in the United States.

METHODS AND RESULTS

We used the US Nationwide Inpatient Sample (2003-2012) to identify patients with cardiac arrest. Log transformation of inflation-adjusted cost was determined for care to patient outcomes. Overall, an estimated 1 387 396 patients were hospitalized after cardiac arrest. The mean age of the cohort was 66 years, 45% were women, and the majority were white. Inpatient procedures included coronary angiography (15%), percutaneous coronary intervention (7%), intra-aortic balloon pump (4.4%), therapeutic hypothermia (1.1%), and mechanical circulatory support (0.1%). The rates of therapeutic hypothermia increased from zero in 2003 to 2.7% in 2012 (P<0.001). Both hospital charges and inflation-adjusted cost increased linearly over time. In a multivariate analysis, predictors of inflation-adjusted cost included large hospital size, urban teaching hospital, and length of stay. Among comorbidities, atrial fibrillation or fluid and electrolytes imbalance was most associated with cost. Among selected interventions, the cost was significantly increased with automatic implantable cardioverter defibrillators (odds ratio, 1.83; P<0.001), intra-aortic balloon pump (odds ratio, 1.50; P<0.001), hypothermia (odds ratio, 1.28; P<0.001), and extracorporeal membrane oxygenation (odds ratio, 2.38; P<0.001).

CONCLUSIONS

In the period between 2003 and 2012, postcardiac arrest hospitalizations resulted in a steady rise in associated health care cost, likely related to increased length of stay, medical procedures, and systems of care. Although targeted cost containment for postarrest interventions may reduce the finance burden, there is an increasing need for funding research into prediction and prevention of cardiac arrest, which offers greater societal benefit.

Sudden cardiac death in 2017: Spotlight on prediction and prevention

This commentary will provide a brief synopsis of the progress made in prediction and prevention of sudden cardiac death (SCD), the challenges that remain, and the opportunities available to make a real impact in this field. The dawning of the new millennium saw the prophylactic implantable defibrillator (ICD) firmly established as the major primary prevention modality, poised to make a major impact on the burden of SCD. More than a decade and a half later, has this expectation been realized? The modest impact of the primary prevention ICD on SCD burden is largely due to the now well-recognized inadequate performance of the left ventricular ejection fraction as a risk stratification tool. Consequently, the field has transitioned from a focus on the "high-risk ejection fraction" to the broader concept of the "high-risk patient". There are currently no effective means of stratifying SCD risk in patients with preserved EF, who constitute the majority (at least 70%) of all patients who will suffer SCD. Can the field be disrupted and novel predictors of SCD identified? In addition to the ongoing quest for identification of the high-risk patient early in the nature history of SCD, a new paradigm for preventing SCD in the "near-term", within several weeks of the lethal event, has been proposed. While rapid advances in technology, data warehousing and analysis will accelerate the process of enhancing SCD prediction and prevention; regulatory, funding and clinical implementation strategies will need to keep pace if these expectations are to be realized.

Computational Electrocardiography: Revisiting Holter ECG Monitoring

BACKGROUND

Since 1942, when Goldberger introduced the 12-lead electrocardiography (ECG), this diagnostic method has not been changed.

OBJECTIVES

After 70 years of technologic developments, we revisit Holter ECG from recording to understanding.

METHODS

A fundamental change is fore-seen towards "computational ECG" (CECG), where continuous monitoring is producing big data volumes that are impossible to be inspected conventionally but require efficient computational methods. We draw parallels between CECG and computational biology, in particular with respect to computed tomography, computed radiology, and computed photography. From that, we identify technology and methodology needed for CECG.

RESULTS

Real-time transfer of raw data into meaningful parameters that are tracked over time will allow prediction of serious events, such as sudden cardiac death. Evolved from Holter's technology, portable smartphones with Bluetooth-connected textile-embedded sensors will capture noisy raw data (recording), process meaningful parameters over time (analysis), and transfer them to cloud services for sharing (handling), predicting serious events, and alarming (understanding). To make this happen, the following fields need more research: i) signal processing, ii) cycle decomposition; iii) cycle normalization, iv) cycle modeling, v) clinical parameter computation, vi) physiological modeling, and vii) event prediction.

CONCLUSIONS

We shall start immediately developing methodology for CECG analysis and understanding.

Interassociation consensus statement on cardiovascular care of college student-athletes

Cardiovascular evaluation and care of college student-athletes is gaining increasing attention from both the public and medical communities. Emerging strategies include screening of the general athlete population, recommendations of permissible levels of participation by athletes with identified cardiovascular conditions and preparation for responding to unanticipated cardiac events in athletic venues. The primary focus has been sudden cardiac death and the usefulness of screening with or without advanced cardiac screening. The National Collegiate Athletic Association convened a multidisciplinary task force to address cardiovascular concerns in collegiate student-athletes, and to develop consensus for an interassociation statement. This document summarises the task force deliberations and follow-up discussions, and includes available evidence on cardiovascular risk, preparticipation evaluation and the recognition of and response to cardiac arrest. Future recommendations for cardiac research initiatives, education and collaboration are also provided.

Interassociation Consensus Statement on Cardiovascular Care of College Student-Athletes

Cardiovascular evaluation and care of college student-athletes is gaining increasing attention from both the public and medical communities. Emerging strategies include screening of the general athlete population, recommendations of permissible levels of participation by athletes with identified cardiovascular conditions, and preparation for responding to unanticipated cardiac events in athletic venues. The primary focus has been sudden cardiac death and the utility of screening with or without advanced cardiac screening. The National Collegiate Athletic Association convened a multidisciplinary task force to address cardiovascular concerns in collegiate student-athletes and to develop consensus for an interassociation statement. This document summarizes the task force deliberations and follow-up discussions, and includes available evidence on cardiovascular risk, pre-participation evaluation, and the recognition of and response to cardiac arrest. Future recommendations for cardiac research initiatives, education, and collaboration are also provided.

Interassociation Consensus Statement on Cardiovascular Care of College Student-Athletes

Cardiovascular evaluation and care of college student-athletes is gaining increasing attention from both the public and medical communities. Emerging strategies include screening of the general athlete population, recommendations of permissible levels of participation by athletes with identified cardiovascular conditions, and preparation for responding to unanticipated cardiac events in athletic venues. The primary focus has been sudden cardiac death and the utility of screening with or without advanced cardiac screening. The National Collegiate Athletic Association convened a multidisciplinary task force to address cardiovascular concerns in collegiate student-athletes and to develop consensus for an interassociation statement. This document summarizes the task force deliberations and follow-up discussions, and includes available evidence on cardiovascular risk, pre-participation evaluation, and the recognition of and response to cardiac arrest. Future recommendations for cardiac research initiatives, education, and collaboration are also provided. (J Am Coll Cardiol 2016;doi: 10.1016/j.jacc.2016.03.527.)

Ten advances defining sudden cardiac death

Recent advances in the field of sudden cardiac death (SCD) include the recognition that 50% of SCD occurs as initial presentation of any heart disease and that many of these individuals may have been considered to be low risk. The presenting dysrhythmia in patients with cardiac arrests has changed over time such that pulseless electrical activity and asystole is more frequently encountered as compared with ventricular tachyarrhythmias. While the use of implantable defibrillators has been a tremendous advance in patients at risk for ventricular tachyarrhythmias, the use of automatic external defibrillators and wearable defibrillators is a recent advance that allows for potential SCD prevention in more patients. Finally, the area of medical genetics is an evolving discipline, which may enable clinicians to better individualize therapy for patients with genetic predispositions to cardiac dysrhythmias.