Results 101 to 110 of about 90,766 (269)
Abstract Aims Amyloid cardiomyopathy is caused by the deposition of light chain (AL) or transthyretin amyloid (ATTR) fibrils, that leads to a restrictive cardiomyopathy, often resulting in heart failure (HF) with preserved or reduced ejection fraction.
Robin Willixhofer+25 more
wiley +1 more source
Clinical characteristics and long‐term outcomes in patients with apical hypertrophic cardiomyopathy
Abstract Aims As a special type of hypertrophic cardiomyopathy (HCM), apical HCM (ApHCM) has different clinical characteristics while its nature history and prognosis are not well recognized. We aimed to describe the characteristics and outcomes of ApHCM and identify predictors of adverse outcomes.
Meng Guo+3 more
wiley +1 more source
Remote patient monitoring in heart failure (HF). Abstract AimsMethods of non‐invasive remote patient monitoring (RPM) for heart failure (HF) remain diverse. Understanding factors that influence the effectiveness of RPM on HF‐related and all‐cause hospitalizations, mortality, and emergency department visits is crucial for developing successful RPM ...
Ignace L.J. De Lathauwer+6 more
wiley +1 more source
Electrocardiography in Chagas' heart disease
Conventional ECG still plays an important role in the overall knowledge of Chagas' cardiopathy, because of its importance in longitudinal and epidemiological studies, its diagnostic value, and its utility in prognostic evaluation.
Sérgio A.C. Garzon+2 more
doaj +1 more source
Applying a simplified left atrial/natriuretic peptide (LA/NP) approach by combining enlarged LA volume indexed for height2 or elevated (N‐terminal pro) B‐type natriuretic peptide [(NT‐pro)BNP], using different cut‐off values for sinus rhythm (SR) and atrial fibrillation (AF) history.
Jerremy Weerts+13 more
wiley +1 more source
Aims The prognostic significance of detecting left ventricular (LV) systolic dysfunction during family screening programmes (FSPs) in relatives of probands affected by dilated (DCM) and non‐dilated left ventricular (NDLVC) cardiomyopathies remain unclear.
Eva Del Mestre+17 more
wiley +1 more source
Enhancing Electrocardiography Data Classification Confidence: A Robust Gaussian Process Approach (MuyGPs) [PDF]
Analyzing electrocardiography (ECG) data is essential for diagnosing and monitoring various heart diseases. The clinical adoption of automated methods requires accurate confidence measurements, which are largely absent from existing classification methods. In this paper, we present a robust Gaussian Process classification hyperparameter training model (
arxiv