Results 161 to 170 of about 118,446 (304)
Epidemiology of hospitalized heart failure in France based on national data over 10 years, 2012–2022
Abstract Aims We aim to describe the incidence of HF hospitalization in France in the post‐pandemic era, the prevalence of HF cases and patients' characteristics, management and outcomes while focusing on sex, age and socio‐economic differences and to analyse time‐trends between 2012 and 2022.
Valérie Olié +5 more
wiley +1 more source
Abstract Objective This study aimed to evaluate the utility of left atrial volume and function in uraemic patients using four‐dimensional automatic left atrial quantification (4D auto LAQ) technology. Methods Thirty‐four undialysed uraemic patients (U‐ND group), 60 dialysed uraemic patients (U‐D group), and 32 healthy volunteers (N group) were enrolled
Bing Li, Meihua Chen, Xuning Huang
wiley +1 more source
Abstract Aims Inflammation plays a critical role in both the development and progression of heart failure (HF), which is a leading cause of morbidity and mortality worldwide. However, the causality between specific inflammation‐related proteins and HF risk remains unclear.
Xian‐Guan Zhu +9 more
wiley +1 more source
Unmasking Rheumatic Heart Disease in Pregnancy. [PDF]
Tumkur Panduranga V +4 more
europepmc +1 more source
Abstract Background and objectives Initially described as a benign acute cardiomyopathy, Takotsubo syndrome has been linked to elevated mortality rates. Emerging evidence suggests that unresolved myocardial inflammation may contribute to this adverse prognosis.
Loïc Faucher +12 more
wiley +1 more source
Artificial intelligence-enhanced electrocardiogram for the detection of rheumatic heart disease. [PDF]
Bhorat R +8 more
europepmc +1 more source
[Rheumatic heart disease behind life-threatening heart failure in pregnancy]
Valvular heart disease constitutes the majority of all causes of heart disease in pregnancy. In the presence of valvular heart disease, the necessary haemodynamic changes of pregnancy might cause heart failure, leading to severe maternal and fetal ...
Jacobsen, P-H +4 more
core
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Rheumatic heart disease in children and adolescents, part 1: epidemiology, pathogenesis and diagnosis. [PDF]
Rwebembera J +3 more
europepmc +1 more source

