The impact of clinical phenotypes of coronary artery disease on outcomes in patients with atrial fibrillation: A post-hoc analysis of GLORIA-AF registry.

Background: Coronary artery disease (CAD) and atrial fibrillation (AF) often coexist, but the impact of clinical phenotypes of CAD on outcomes in AF patients in the non-vitamin K antagonist oral anticoagulant drugs (NOACs) era is less well understood.

Methods: This was a post-hoc of the GLORIA-AF registry, a global, multicenter, prospective AF registry study. Patients were divided into three groups: prior history of myocardial infarction (MI)/unstable angina group (Group 1); stable angina group (Group 2); and a control group without stable angina or history of MI/unstable angina.

Associations of personality trait level and change with mortality risk in 11 longitudinal studies.

People who are higher in conscientiousness, extraversion, and agreeableness and lower in neuroticism tend to live longer. The present research tested the hypothesis that personality trait change in middle and older adulthood would also be associated with mortality risk, above and beyond personality trait level. Personality trait change may causally influence mortality risk through corresponding changes in health behaviors, social processes, and stress experience.

Tagless LysoIP for immunoaffinity enrichment of native lysosomes from clinical samples.

Lysosomes are implicated in a wide spectrum of human diseases including monogenic lysosomal storage disorders (LSDs), age-associated neurodegeneration and cancer. Profiling lysosomal content using tag-based lysosomal immunoprecipitation (LysoTagIP) in cell and animal models has substantially moved the field forward, but studying lysosomal dysfunction in human patients remains challenging. Here, we report the development of the 'tagless LysoIP' method, designed to enable the rapid enrichment of lysosomes, via immunoprecipitation, using the endogenous integral lysosomal membrane protein TMEM192, directly from clinical samples and human cell lines (e.

Understanding European patterns of deprescribing antithrombotic medication during end-of-life care in patients with cancer.

Background: Even though antithrombotic therapy (ATT) probably has little or even negative effect on the well-being of patients with cancer near the end of life, it is often continued until death, possibly leading to excess bleeding complications, increased disease burden, reduced quality of life and higher healthcare costs.

Aim: To explore and describe European practice patterns and perspectives of healthcare professionals from different disciplines and specialties on ATT in the end-of-life care (EOLC) of patients with cancer.

Methods: We performed a two-week international cross-sectional survey study using flash-mob research methodology.

Residual risk prediction in anticoagulated patients with atrial fibrillation using machine learning: A report from the GLORIA-AF registry phase II/III.

Background: Although oral anticoagulation decreases the risk of thromboembolism in patients with atrial fibrillation (AF), a residual risk of thrombotic events still exists. This study aimed to construct machine learning (ML) models to predict the residual risk in these patients.

Methods: Patients with newly diagnosed non-valvular AF were collected from the Global Registry on Long-Term Oral Anti-Thrombotic Treatment in Patients with Atrial Fibrillation (GLORIA-AF) registry.