Optimizing indices of atrial fibrillation susceptibility and burden to evaluate atrial fibrillation severity, risk and outcomes

G Boriani, M Vitolo, I Diemberger… - Cardiovascular …, 2021 - academic.oup.com
Atrial fibrillation (AF) has heterogeneous patterns of presentation concerning symptoms,
duration of episodes, AF burden, and the tendency to progress towards the terminal step of …

Cardiovascular event prediction by machine learning: the multi-ethnic study of atherosclerosis

B Ambale-Venkatesh, X Yang, CO Wu, K Liu… - Circulation …, 2017 - Am Heart Assoc
Rationale: Machine learning may be useful to characterize cardiovascular risk, predict
outcomes, and identify biomarkers in population studies. Objective: To test the ability of …

Atrial fibrillation predictors: importance of the electrocardiogram

DM German, MM Kabir, TA Dewland… - Annals of …, 2016 - Wiley Online Library
Atrial fibrillation (AF) is the most common arrhythmia in adults and is associated with
significant morbidity and mortality. Substantial interest has developed in the primary …

eGFR and albuminuria in relation to risk of incident atrial fibrillation: a meta-analysis of the Jackson Heart Study, the Multi-Ethnic Study of Atherosclerosis, and the …

N Bansal, LR Zelnick, A Alonso… - Clinical Journal of the …, 2017 - journals.lww.com
Results In the meta-analyzed study population of 16,769 participants without prevalent atrial
fibrillation, across categories of decreasing eGFR (eGFR> 90 [reference], 60–89, 45–59, 30 …

Multimodality strategy for cardiovascular risk assessment: performance in 2 population-based cohorts

JA De Lemos, CR Ayers, BD Levine, CR DeFilippi… - Circulation, 2017 - Am Heart Assoc
Background: Current strategies for cardiovascular disease (CVD) risk assessment among
adults without known CVD are limited by suboptimal performance and a narrow focus on …

Deep learning to predict cardiac magnetic resonance–derived left ventricular mass and hypertrophy from 12-lead ECGs

S Khurshid, S Friedman, JP Pirruccello… - Circulation …, 2021 - Am Heart Assoc
Background: Classical methods for detecting left ventricular (LV) hypertrophy (LVH) using 12-
lead ECGs are insensitive. Deep learning models using ECG to infer cardiac magnetic …

Cardiovascular events after new-onset atrial fibrillation in adults with CKD: results from the Chronic Renal Insufficiency Cohort (CRIC) study

N Bansal, D Xie, D Sha, LJ Appel, R Deo… - Journal of the …, 2018 - journals.lww.com
Background Atrial fibrillation (AF), the most common sustained arrhythmia in CKD, is
associated with poor clinical outcomes in both patients without CKD and patients with …

Clinical diagnosis of electrical versus anatomic left ventricular hypertrophy: prognostic and therapeutic implications

AL Aro, SS Chugh - Circulation: Arrhythmia and Electrophysiology, 2016 - Am Heart Assoc
2 Aro and Chugh Electrical vs Anatomic LVH with echo LVH did not have ECG LVH (Figure
1B). In multivariate analyses, ECG LVH by Sokolow–Lyon criteria was associated with> 2 …

Determinants of discrepancies in detection and comparison of the prognostic significance of left ventricular hypertrophy by electrocardiogram and cardiac magnetic …

L Bacharova, H Chen, EH Estes, A Mateasik… - The American journal of …, 2015 - Elsevier
Despite the low sensitivity of the electrocardiogram (ECG) in detecting left ventricular
hypertrophy (LVH), ECG-LVH is known to be a strong predictor of cardiovascular risk …

Black-white differences in incident fatal, nonfatal, and total coronary heart disease

LD Colantonio, CM Gamboa, JS Richman, EB Levitan… - Circulation, 2017 - Am Heart Assoc
Background: Blacks have higher coronary heart disease (CHD) mortality compared with
whites. However, a previous study suggests that nonfatal CHD risk may be lower for black …