Sudden cardiac death (SCD) continues to pose a significant health care challenge with an annual incidence of over 350,000 and low survival rates. Implantable cardioverter defibrillators (ICDs) prevent SCD in patients with left ventricular (LV) systolic dysfunction. However, the critical survival benefit afforded by these devices is accompanied by short and long-term complications and a high economic burden. Moreover, in using current practice guidelines of LV ejection fraction (LVEF) d 35% as the main determining factor for patient selection, only a minority of patients actually benefit from ICD therapy (<25% in 5 years). There is an essential need for more robust diagnostic approaches to SCD risk stratification. This project examines the hypothesis that LV structural abnormalities are important independent predictors of SCD risk as they identify the presence and extent of the abnormal pathophysiologic substrate required for the ventricular arrhythmogenicity leading to SCD. This premise is supported by studies in pre-clinical models and limited patient cohorts examining the contribution of individual LV structural indices. However, there has been no prospective study of primary prevention ICD candidates in sufficiently large numbers to investigate the incremental value of a comprehensive, combined assessment of LV structure on SCD risk over and above that of LVEF and readily available demographic and clinical variables. We will utilize the largest, best characterized, current treatment era ICD patient population with a target study size of 400 patients and advanced cardiac magnetic resonance imaging to address this hypothesis. LV structure can be quantified in detail using cardiac magnetic resonance imaging with late gadolinium enhancement (CMR-LGE). Specifically, accurate assessment of LV volumes, mass, geometry, and infarct/scar characteristics, as well as global LV function, are feasible and obtainable clinically in a single examination.
We aim to examine whether or not a clinical risk score incorporating individual CMR indices or a combination of indices are better able to discriminate between patients with high versus low susceptibility to SCD within the broader population of reduced LVEF patients. If the results of these studies demonstrate that metrics of LV structure are important independent prognostic risk factors, it may then be possible to more specifically target ICD therapy to those who are most likely to benefit and avoid unnecessary device implantations and their associated morbidities and costs in those who do not have an arrhythmogenic LV structural phenotype.

Public Health Relevance

Sudden cardiac death (SCD) remains a significant health care dilemma with high incidence and low survival rates. While implantable cardioverter defibrillators (ICD) effectively prevent SCD, the process of selecting candidates for primary prevention therapy relies predominantly on a single criterion of reduced global LV function, which is a poorly sensitive index. There is a critical need for more robust diagnostic approaches and ones which focus on the heart's structural abnormalities may more specifically distinguish a truly high risk group who will benefit from the therapy from the low risk patients who are unnecessarily subjected to the risks and disadvantages of this high cost therapy.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL103812-03
Application #
8281583
Study Section
Clinical and Integrative Cardiovascular Sciences Study Section (CICS)
Program Officer
Adhikari, Bishow B
Project Start
2010-07-15
Project End
2014-04-30
Budget Start
2012-05-01
Budget End
2013-04-30
Support Year
3
Fiscal Year
2012
Total Cost
$350,907
Indirect Cost
$67,537
Name
Johns Hopkins University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
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Ukwatta, Eranga; Yuan, Jing; Qiu, Wu et al. (2014) Myocardial infarct segmentation and reconstruction from 2D late-gadolinium enhanced magnetic resonance images. Med Image Comput Comput Assist Interv 17:554-61
Loring, Zak; Strauss, David G; Gerstenblith, Gary et al. (2013) Cardiac MRI scar patterns differ by sex in an implantable cardioverter-defibrillator and cardiac resynchronization therapy cohort. Heart Rhythm 10:659-65

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