Automated Quantification of Abnormal QRS Peaks From High-Resolution ECGs Predicts Late Ventricular Arrhythmias in Hypertrophic Cardiomyopathy: A 5-Year Prospective Multicenter Study.

Background Patients with hypertrophic cardiomyopathy (HCM) are at risk of ventricular arrhythmia (VA) attributed to abnormal electrical activation arising from myocardial fibrosis and myocyte disarray. We sought to quantify intra-QRS peaks (QRSp) in high-resolution ECGs as a measure of abnormal activation to predict late VA in patients with HCM. Methods and Results Prospectively enrolled patients with HCM (n=143, age 53±14 years) with prophylactic implantable cardioverter-defibrillators had 3-minute, high-resolution (1024 Hz), digital 12-lead ECGs recorded during intrinsic rhythm. For each precordial lead, QRSp was defined as the total number of peaks detected in the QRS complex that deviated from a smoothing filtered version of the QRS. The VA end point was appropriate implantable cardioverter-defibrillator therapy during 5-year prospective follow-up. After 5 years, 21 (16%) patients had VA. Patients who were VA positive had greater QRSp (6.0 [4.0-7.0] versus 4.0 [2.0-5.0]; P<0.01) and lower left ventricular ejection fraction (57±11 versus 62±9; P=0.038) compared with patients who were VA negative, but had similar established HCM risk metrics. Receiver operating characteristic analysis revealed that QRSp discriminated VA (area under the curve=0.76; P<0.001), with a QRSp ≥4 achieving 91% sensitivity and 39% specificity. The annual VA rate was greater in patients with QRSp ≥4 versus QRSp <4 (4.4% versus 0.98%; P=0.012). In multivariable Cox regression, age <50 years (hazard ratio [HR], 2.53; P=0.009) and QRSp (HR per QRS peak, 1.41; P=0.009) predicted VA after adjusting for established HCM risk metrics. In patients aged <50 years, the annual VA rate was 0.0% for QRSp <4 compared with 6.9% for QRSp ≥4 (P=0.012). Conclusions QRSp predicted VA in patients with HCM who were eligible for an implantable cardioverter-defibrillator after adjusting for established HCM risk metrics, such that each additional QRS peak increases VA risk by 40%. QRSp <4 was associated with a <1% annual VA risk in all patients, and no VA risk among those aged <50 years. This novel ECG metric may improve patient selection for prophylactic implantable cardioverter-defibrillator therapy by identifying those with low VA risk. These findings require further validation in a lower risk HCM cohort. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02560844.

The role of phosphorylation in atrial fibrillation: a focus on mass spectrometry approaches.

Atrial fibrillation (AF) is the most common arrhythmia worldwide. It is associated with significant increases in morbidity in the form of stroke and heart failure, and a doubling in all-cause mortality. The pathophysiology of AF is incompletely understood, and this has contributed to a lack of effective treatments and disease-modifying therapies. An important cellular process that may explain how risk factors give rise to AF includes post-translational modification of proteins. As the most commonly occurring post-translational modification, protein phosphorylation is especially relevant. Although many methods exist for studying protein phosphorylation, a common and highly resolute technique is mass spectrometry (MS). This review will discuss recent evidence surrounding the role of protein phosphorylation in the pathogenesis of AF. MS-based technology to study phosphorylation and uses of MS in other areas of medicine such as oncology will also be presented. Based on these data, future goals and experiments will be outlined that utilize MS technology to better understand the role of phosphorylation in AF and elucidate its role in AF pathophysiology. This may ultimately allow for the development of more effective AF therapies.

Comparative effectiveness and cost-effectiveness analysis of a urine metabolomics test vs. alternative colorectal cancer screening strategies.

PURPOSE: Despite the success of provincial screening programs, colorectal cancer (CRC) is still the third most common cancer in Canada and the second most common cause of cancer-related death. Fecal-based tests, such as fecal occult blood test (FOBT) and fecal immunochemical test (FIT), form the foundation of the provincial CRC screening programs in Canada. However, those tests have low sensitivity for CRC precursors, adenomatous polyps and have low adherence. This study evaluated the effectiveness and cost-effectiveness of a new urine metabolomic-based test (UMT) that detects adenomatous polyps and CRC. METHODS: A Markov model was designed using data from the literature and provincial healthcare databases for Canadian at average risk for CRC; calibration was performed against statistics data. Screening strategies included the following: FOBT every year, FIT every year, colonoscopy every 10 years, and UMT every year. The costs, quality adjusted life years (QALY) gained, and incremental cost-effectiveness ratios (ICERs) for each strategy were estimated and compared. RESULTS: Compared with no screening, a UMT strategy reduced CRC mortality by 49.9% and gained 0.15 life years per person at $42,325/life year gained in the base case analysis. FOBT reduced CRC mortality by 14.9% and gained 0.04 life years per person at $25,011/life year gained. FIT reduced CRC mortality by 35.8% and gained 0.11 life years per person at $25,500/life year while colonoscopy reduced CRC mortality by 24.7% and gained 0.08 life years per person at $50,875/life year. CONCLUSIONS: A UMT strategy might be a cost-effective strategy when used in programmatic CRC screening programs.

Acute Management of Ventricular Arrhythmia in Patients With Suspected Inherited Heart Rhythm Disorders.

After the most common causes of sudden cardiac death including ischemic and structural heart disease have been ruled out, clinicians on the front lines of emergent medical care can be faced with unexplained and recurrent life-threatening arrhythmia episodes in children and adults. In these cases, an inherited arrhythmia syndrome should be suspected, and a departure from conventional advanced cardiac life support algorithms may be required. This review focuses on the electrocardiographic clues of an inherited arrhythmia syndrome that can be uncovered through a careful analysis of the baseline electrocardiogram (ECG) and classification of the presenting ventricular arrhythmia and its mode of onset. After presenting an informed working diagnosis and an explanation of the implied electrophysiologic mechanisms, discussion provides a protocol approach to acute and subacute management decisions. Careful attention to a patient's response to treatment and its ECG surrogates have the potential to facilitate tailored therapy based on the underlying arrhythmogenic substrate and pathophysiology.

Personalizing therapy for atrial fibrillation: the role of stem cell and in silico disease models.

Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated with substantial morbidity. There is considerable inter-patient variability in the pathologic processes that promote AF, and this variability likely has a significant genetic basis. Clinically this is reflected by the observation that anti-arrhythmic drugs and interventional procedures have highly variable efficacy, and this highlights the need for adopting a more efficacious personalized approach. We explore recent advancements in both in silico and stem cell disease models that set the stage for a personalized approach. Specifically we highlight new mechanistic insights in AF; the future role of computational models in planning personalized ablation strategies; the potential role of stem cell models as a preclinical platform for drug development; and the potential to use gene-editing technology to create patient-specific stem cell models. Finally, we introduce the concept of integrating stem cell models with computational modelling to create a novel pipeline for patient-specific drug discovery and development.