Cardiovascular Diseases Commons^™

Electrocardiogram-Based Machine Learning Emulator Model For Predicting Novel Echocardiography-Derived Phenogroups For Cardiac Risk-Stratification: A Prospective Multicenter Cohort Study, Heenaben B. Patel, Naveena Yanamala, Brijesh Patel, Sameer Raina, Peter D. Farjo, Srinidhi Sunkara, Márton Tokodi, Nobuyuki Kagiyama, Grace Casaclang-Verzosa, Partho P. Sengupta

Journal of Patient-Centered Research and Reviews

Purpose: Electrocardiography (ECG)-derived machine learning models can predict echocardiography (echo)-derived indices of systolic or diastolic function. However, systolic and diastolic dysfunction frequently coexists, which necessitates an integrated assessment for optimal risk-stratification. We explored an ECG-derived model that emulates an echo-derived model that combines multiple parameters for identifying patient phenogroups at risk for major adverse cardiac events (MACE).

Methods: In this substudy of a prospective, multicenter study, patients from 3 institutions (n = 727) formed an internal cohort, and the fourth institution was reserved as an external test set (n = 518). A previously validated patient similarity analysis model was used …

The Value Of Contrast Echocardiography, Shannon C. Treiber, Bijoy K. Khandheria

Journal of Patient-Centered Research and Reviews

Purpose

There is much evidence-based research proving the effectiveness of contrast echocardiography, but there are still questions and concerns about its specific uses. This study tested the effectiveness of contrast echocardiography in defining the left ventricular endocardial border.

Methods

From 30 patients, a total of 60 echocardiograms –– 30 with and 30 without use of contrast –– were retrospectively reviewed by four blinded cardiologists with advanced training in echocardiography. No single cardiologist reviewed contrast and noncontrast images of the same patient. Each set of 30 echocardiograms was then studied for wall-motion scoring. Visualization of left ventricular wall segments and a …

Lead Burden As A Factor For Higher Complication Rate In Patients With Implantable Cardiac Devices, Christopher Kolibash, Naoyo Mori, Jasbir Sra, Masood Akhtar, M. Eyman Mortada

Journal of Patient-Centered Research and Reviews

Purpose

Lead revisions have increased over the last decade. Patients who do not undergo lead extraction face an increased lead burden. Consequences of increased lead burden have not been fully defined. We sought to characterize the complication rate and outcomes in patients with sterile redundant leads.

Methods

We retrospectively reviewed 242 consecutive patients [mean age 74 ± 12 years; 66.9% male] who underwent lead revision that resulted in an abandoned lead from January 2005 to June 2010. Patients were placed in a cohort based on number of leads after last recorded procedure (Group A: ≤2 [n=58]; Group B: 3-4 [n=168]; …