Inflammation, Cardiac Sympathetic Innervation, and Arrhythmic Sudden Death

Despite pharmacologic advances for the treatment of congestive heart failure (HF), sudden cardiac death (SCD) and pump failure remain the leading causes of mortality in patients with HF. Although, SCD is poorly understood, implantable cardiac defibrillators (ICD) have been shown to be an effective, but costly therapy in preventing SCD. At present, left ventricular systolic dysfunction is our best independent predictor of SCD, but only moderately predicts those patients who will eventually benefit from the placement of an ICD and, in most cases, left ventricular (LV) systolic dysfunction is a non-modifiable risk factor once acquired. As a result, there exists an intensive search for biomarkers that could improve the prediction of SCD and have the potential for risk factor modification. Experimental and clinical evidence has established that inflammation plays a critical role in stable coronary disease, plaque rupture, acute myocardial infarction, heart failure, and SCD. Studies at our institution have demonstrated that elevated levels of hsCRP and Interleukin-6 are predictive of arrhythmic SCD; however, the mechanism of causing this increased risk is unclear. Another well-known risk factor for SCD is abnormal sympathetic innervation. The most robust clinical test of sympathetic innervation to date is Iodine-123 Metaiodobenzylguanidine (MIBG) imaging with gamma scintigraphy. MIBG imaging has emerged as one of our strongest predictors of SCD by detecting sympathetic nervous system abnormalities in patients with HF. Preclinical and clinical evidence suggests that myocardial inflammation adversely affects myocardial innervation. Based on these findings, the investigators hypothesize that elevated levels of inflammatory biomarkers are associated with abnormal sympathetic innervation as measured by MIBG imaging. The investigators aim to establish the strength of this association. This proposal will leverage unique access to the largest, most extensively phenotyped cohor