Results 31 to 40 of about 5,535 (166)

Sudden cardiac death – Historical perspectives

Indian Heart Journal, 2014
Sudden cardiac death (SCD) is an unexpected death due to cardiac causes that occurs in a short time period (generally within 1 h of symptom onset) in a person with known or unknown cardiac disease.
S.P. Abhilash, Narayanan Namboodiri
doaj   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

Review on Non-Invasive Risk Stratification of Sudden Cardiac Death

Proceedings of Singapore Healthcare, 2011
Sudden cardiac death (SCD) is one of the most significant and challenging problems facing modern medicine today given its unpredictable nature. The evaluation of the patient at risk for sudden cardiac death still remains a complex task.
Jiang Ming Fam MBBS, MRCP (UK), MMed (Internal Med), Chi Keong Ching MBBS, MRCP (UK), FAMS   +1 more
doaj   +1 more source

Mechanisms of sudden cardiac death

Indian Heart Journal, 2014
Worldwide, sudden cardiac death (SCD) is a major problem. It is most frequently caused by ventricular tachyarrhythmias: Monomorphic and polymorphic ventricular tachycardia (VT), torsade de pointes (TdP), and ventricular fibrillation (VF).
Carsten W. Israel
doaj   +1 more source

Noradrenergic and cholinergic innervation of the normal human heart and changes associated with cardiomyopathy

The Anatomical Record, EarlyView.
Abstract Autonomic nerves are crucial in cardiac function and pathology. However, data on the distribution of cholinergic and noradrenergic nerves in normal and pathologic human hearts is lacking. Nonfailing donor hearts were pressure‐perfusion fixed, imaged, and dissected. Left ventricular cardiomyopathy samples were also obtained.
Peter Hanna, Donald B. Hoover, Logan G. Kirkland, Elizabeth H. Smith, Megan D. Poston, Stanley G. Peirce, Chloe G. Garbe, Tasha K. Phillips, Steven Cha, Shumpei Mori, Jaclyn A. Brennan, John Andrew Armour, Eric Rytkin, Igor R. Efimov, Olujimi A. Ajijola, Jeffrey L. Ardell, Kalyanam Shivkumar   +16 more
wiley   +1 more source

From armadillos to sloths: Patterns and variations in xenarthran coronary anatomy

The Anatomical Record, EarlyView.
Abstract Species of the superorder Xenarthra play a vital ecological role in the Neotropics. Despite their evolutionary significance, anatomical studies on their coronary circulation remain scarce. This study investigated the coronary anatomy of 82 hearts from nine Xenarthra species across the Dasypodidae, Myrmecophagidae, and Bradypodidae.
Wilson Viotto‐Souza, André Luiz Quagliatto Santos, Marcelo Abidu‐Figueiredo, Thaís Aparecida Silva, Rodrigo Ananias Barreiros Silva, Paulo de Souza‐Junior   +5 more
wiley   +1 more source

Age‐related differences in hydroxychloroquine‐associated adverse events: A pharmacovigilance study based on the FDA Adverse Event Reporting System

British Journal of Clinical Pharmacology, EarlyView.
Aims This real‐world pharmacovigilance study utilizes FDA Adverse Event Reporting System (FAERS) data (2004–2024) to characterize age‐related disparities in hydroxychloroquine (HCQ)‐associated adverse events (AEs), addressing gaps in age‐stratified risk assessment. Methods Disproportionality analysis (reporting odds ratios, RORs) and parametric Weibull
Guanghan Sun, Jingrong Yang, Lei Wan, Xia Xu, Jing Wang   +4 more
wiley   +1 more source

Machine learning methods for predicting adverse drug events: A systematic review

British Journal of Clinical Pharmacology, EarlyView.
Abstract Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high‐risk patients and reducing health‐care costs. While traditional methods struggle with the complexity of health‐care data, machine learning (ML) models offer improved prediction capabilities; however, their effectiveness in ...
Niaz Chalabianloo, Fatemeh Ahmadi, Mohammad Ali Omrani, Sheikh S. Abdullah, Neda Rostamzadeh, Atefeh Jafari, Lujain Izzedin, Kamran Sedig, Flory T. Muanda   +8 more
wiley   +1 more source

Sudden Cardiac Death As a Mystery of The Sports World - Current Insight Into Risk Factors, Diagnosis and Management of The Most Common Underlying Causes

Quality in Sport
Introduction and aim of the study: With the growing popularity of physical activity, sudden cardiac death has become a significant concern among both professional and recreational athletes.
Jakub Kędzia, Joanna Duda, Kinga Racisz, Paweł Racisz, Alicja Obcowska, Aleksandra Walendzik   +5 more
doaj   +1 more source

Biomaterial design strategies for enhancing mitochondrial transplantation therapy

BMEMat, EarlyView.
Biomaterials to facilitate mitochondrial transplantation therapy: biomaterials as barriers to protect mitochondria from pathophysiological microenvironments, like osmotic stress caused by the excessive concentration of calcium ion, reactive oxygen species, and advanced glycation end products; biomaterials integrating with biochemical cues to improve ...
Shaoyang Kang, Yushan Zhang, Hang Li, Sirui Peng, Donghao Lyu, Chunxiao Zhou, Sheng Ding, Zujian Feng, Pingsheng Huang, Chuangnian Zhang, Hongjun Wang, Deling Kong, Weiwei Wang   +12 more
wiley   +1 more source