Five Criteria Predict Induction and Ablation of Supraventricular Tachycardia.

Introduction: Current guidelines recommend electrophysiological study (EPS) and ablation for primary treatment of supraventricular tachycardia (SVT), but there is little information to guide patient selection for the procedure. The purpose of this study was to identify preoperative features that would predict whether patients with signs or symptoms of tachycardia were likely to have SVT induced and ablated at EPS.

Methods: We performed a retrospective chart review of 1089 patients referred for EPS and ablation of SVT at 2 high volume centers.

Clinical Validation of a Machine-Learned, Point-of-Care System to IDENTIFY Functionally Significant Coronary Artery Disease.

Many clinical studies have shown wide performance variation in tests to identify coronary artery disease (CAD). Coronary computed tomography angiography (CCTA) has been identified as an effective rule-out test but is not widely available in the USA, particularly so in rural areas. Patients in rural areas are underserved in the healthcare system as compared to urban areas, rendering it a priority population to target with highly accessible diagnostics.

Pericardial Decompression Syndrome After Drainage of Chronic Pericardial Effusions.

Pericardial decompression syndrome (PDS) is a potentially fatal disorder of left ventricular function that sometimes occurs after drainage of a pericardial effusion for cardiac tamponade. Patients at risk for PDS are difficult to identify. Here, we report 2 cases where PDS developed after drainage of effusions that had been present for years, suggesting that patients with chronic effusions are at higher risk for PDS.

Rheumatoid arthritis macrophages are primed for inflammation and display bioenergetic and functional alterations.

Objectives: Myeloid cells with a monocyte/macrophage phenotype are present in large numbers in the RA joint, significantly contributing to disease; however, distinct macrophage functions have yet to be elucidated. This study investigates the metabolic activity of infiltrating polarized macrophages and their impact on pro-inflammatory responses in RA.

Methods: CD14+ monocytes from RA and healthy control (HC) bloods were isolated and examined ex vivo or following differentiation into 'M1/M2' macrophages.

Multicenter validation of a machine learning phase space electro-mechanical pulse wave analysis to predict elevated left ventricular end diastolic pressure at the point-of-care.

Background: Phase space is a mechanical systems approach and large-scale data representation of an object in 3-dimensional space. Whether such techniques can be applied to predict left ventricular pressures non-invasively and at the point-of-care is unknown.

Objective: This study prospectively validated a phase space machine-learned approach based on a novel electro-mechanical pulse wave method of data collection through orthogonal voltage gradient (OVG) and photoplethysmography (PPG) for the prediction of elevated left ventricular end diastolic pressure (LVEDP).