Parameter inference in a computational model of hemodynamics in pulmonary hypertension [PDF]
arXiv, 2021 Pulmonary hypertension (PH), defined by a mean pulmonary arterial pressure (mPAP) $>$ 20 mmHg, is characterized by increased pulmonary vascular resistance and decreased pulmonary arterial compliance. There are few measurable biomarkers of PH progression, but a conclusive diagnosis of the disease requires invasive right heart catheterization (RHC ...
arxiv
Spreading of diseases through comorbidity networks across life and gender [PDF]
New Journal of Physics 16, 115013, (2014), 2014 The state of health of patients is typically not characterized by a single disease alone but by multiple (comorbid) medical conditions. These comorbidities may depend strongly on age and gender. We propose a specific phenomenological comorbidity network of human diseases that is based on medical claims data of the entire population of Austria.
arxiv +1 more source
Total anomalous pulmonary vein drainage in a 60-year-old woman diagnosed in an ECG-gated multidetector computed tomography : a case report and review of literature [PDF]
, 2018 Purpose: Total anomalous pulmonary vein drainage (TAPVD) is a congenital cardiac defect in which there is no connection between pulmonary veins and the left atrium.
Adamczyk, Piotr +7 more
core +1 more source
Numerical predictions of shear stress and cyclic stretch in the healthy pulmonary vasculature [PDF]
arXiv, 2021 Isolated post-capillary pulmonary hypertension (Ipc-PH) occurs due to left heart failure, which contributes to 1 out of every 9 deaths in the United States. In some patients, through unknown mechanisms, Ipc-PH transitions to combined pre-/post-capillary PH (Cpc-PH), diagnosed by an increase in pulmonary vascular resistance and associated with a ...
arxiv
Computational fluid dynamics modelling of left valvular heart diseases during atrial fibrillation [PDF]
PeerJ, 4: e2240, 2016, 2016 Although atrial fibrillation (AF), a common arrhythmia, frequently presents in patients with underlying valvular disease, its hemodynamic contributions are not fully understood. The present work aimed to computationally study how physical conditions imposed by pathologic valvular anatomy act on AF hemodynamics.
arxiv +1 more source
Pulmonary arterial hypertension: an update [PDF]
, 2011 Pulmonary arterial hypertension (PAH), defined as group 1 of the World Heart Organisation (WHO) classification of pulmonary hypertension, is an uncommon disorder of the pulmonary vascular system.
A Fijalkowska +48 more
core +2 more sources
Predicting Pulmonary Hypertension by Electrocardiograms Using Machine Learning [PDF]
arXiv, 2023 Pulmonary hypertension (PH) is a condition of high blood pressure that affects the arteries in the lungs and the right side of the heart (Mayo Clinic, 2017). A mean pulmonary artery pressure greater than 25 mmHg is defined as Pulmonary hypertension.
arxiv
Generalised anxiety disorder doubles risk of cardiovascular events in people with stable coronary heart disease [PDF]
, 2011 Does generalised anxiety disorder (GAD) affect cardiovascular events associated with coronary heart disease (CHD)? Population: 1015 patients with stable coronary heart. Eligible patients had at least one of the following: history of myocardial infarction
Phillips, Anna C.
core +1 more source
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning [PDF]
arXiv, 2023 Pulmonary Hypertension (PH) is a severe disease characterized by an elevated pulmonary artery pressure. The gold standard for PH diagnosis is measurement of mean Pulmonary Artery Pressure (mPAP) during an invasive Right Heart Catheterization. In this paper, we investigate noninvasive approach to PH detection utilizing Magnetic Resonance Imaging ...
arxiv
A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds [PDF]
arXiv, 2021 Diagnosing pre-existing heart diseases early in life is important as it helps prevent complications such as pulmonary hypertension, heart rhythm problems, blood clots, heart failure and sudden cardiac arrest. To identify such diseases, phonocardiogram (PCG) and electrocardiogram (ECG) waveforms convey important information. Therefore, effectively using
arxiv