ELAVL1 promotes ferroptosis-induced inhibition of osteogenic differentiation in diabetic osteoporosis by downregulating SIRT1.

Objective: Ferroptosis can implicate in the pathogenesis of diabetic osteoporosis (DOP). This study aimed to determine whether Sirtuin 1 (SIRT1) modulates DOP through ELAV-like RNA binding protein 1 (ELAVL1)-mediated ferroptosis.

Methods: MC3T3-E1 cells were cultured in high glucose (HG) medium, and osteogenic differentiation was assessed by evaluating RUNX2, OCN, ALP activity, and calcium deposition via Alizarin Red S staining.

Associations of Sarcopenia and Its Components With Cardiovascular Risk: Five-Year Longitudinal Evidence From China Health and Retirement Longitudinal Study.

Background: Sarcopenia, an age-related condition, has an unclear association with cardiovascular disease (CVD) risk. We aimed to analyze whether sarcopenia and its individual components are associated with new-onset CVD in middle-aged and older adults.

Methods And Results: Data were derived from the China Health and Retirement Longitudinal Study, with sarcopenia defined by the Asian Working Group for Sarcopenia 2019 criteria.

Cryo-ablation management of atrial fibrillation in Fabry disease without agalsidase alpha: a case report.

Fabry disease (FD) is a rare genetic disorder caused by mutations in the gene, affecting multiple organs. Over 60% of patients experience heart-related issues, primarily arrhythmias. Unlike typical cases, these arrhythmias are complex and often do not respond well to standard antiarrhythmic drugs, sometimes worsening symptoms.

Long-term clinical outcomes of oral anticoagulation in the older patients with atrial fibrillation aged ≥80 years: a report from the GLORIA-AF registry phase III.

Background: Older age increases the risk of thromboembolism (TE) and major bleeding in atrial fibrillation (AF) patients, but limited evidence exists regarding the older population (age ≥ 80) especially from different global regions. Data on benefits of oral anticoagulants in these very old individuals are also limited.

Methods: From the prospective, multicenter Global Registry on Long-Term Antithrombotic Treatment in Patients with Atrial Fibrillation registry, we analysed by age all-cause death, cardiovascular death, major adverse cardiovascular events (MACE), TE, major bleeding, stroke, and myocardial infarction (MI) over 3-years follow-up.

The influence of habitual tooth brushing frequency on individuals diagnosed with coronary artery disease.

Coronary artery disease (CAD) is a prevalent and high-mortality condition globally. The awareness regarding adequate oral care in China was insufficient. This study investigates the outcomes of CAD patients in southwest China based on their tooth brushing frequency.

Magnesium Sulfate in Cardiogenic Shock Patients: A Retrospective Propensity Score-Matched Cohort Study.

Purpose: Magnesium ions are essential inorganic ions in the body, playing a crucial role in normal physiological functions. Previous studies have shown that supplementing magnesium sulfate can provide survival advantages for critically ill patients. Our study aimed to explore whether intravenous magnesium sulfate could provide a survival advantage in patients with cardiogenic shock (CS).

Crack-MsCGA: A Deep Learning Network with Multi-Scale Attention for Pavement Crack Detection.

Pavement crack detection is crucial for ensuring road safety and reducing maintenance costs. Existing methods typically use convolutional neural networks (CNNs) to extract multi-level features from pavement images and employ attention mechanisms to enhance global features. However, the fusion of low-level features introduces substantial interference, leading to low detection accuracy for small-scale cracks with subtle local structures and varying global morphologies.

Glucosidase alpha neutral C promotes influenza virus replication by inhibiting proteosome-dependent degradation of hemagglutinin.

The H7N9 influenza virus poses a significant threat to human health, and the mechanism by which it infects humans remains incompletely understood. Our investigation has unveiled significant insights into the role of glucosidase alpha, neutral C (GANC) gene in human H7N9 infections. Through whole genome sequencing (WGS), we identified five low-frequency functional and heterozygous variants of GANC strongly associated with human H7N9 infections compared to healthy controls.

Prognostic value of admission respiratory rate in patients with acute myocardial infarction.

Background: Respiratory rate (RR) is one important vital sign that is often neglected in patients with acute myocardial infarction (AMI). The present study aimed to evaluate the impact of admission RR on the prognosis in patients with AMI.

Methods: This study included 5631 AMI patients from Medical Information Mart for Intensive Care IV (MIMIC-IV) and 1323 patients from The First Affiliated Hospital of Chongqing Medical University (validation cohort).

Beta-blocker administration within 24 hours after admission to the intensive care unit and mortality in critical heart failure patients: a retrospective analysis from the MIMIC-IV database.

Background: It remains poorly understood whether early use of beta-blockers could provide a survival advantage in patients with critical heart failure (HF) .

Methods: This retrospective study was conducted using the American Medical Information Mart for Intensive Care (MIMIC)-IV database. Study participants were critical HF patients who were divided into two groups: within 24-hour use of beta-blockers group and no use of beta-blockers group.

Role of oxidative balance score in staging and mortality risk of cardiovascular-kidney-metabolic syndrome: Insights from traditional and machine learning approaches.

Objectives: To evaluate the roles of oxidative balance score (OBS) in staging and mortality risk of cardiovascular-kidney-metabolic syndrome (CKM).

Methods: Data of this study were from the National Health and Nutrition Examination Survey 1999-2018. We performed cross-sectional analyses using multinomial logistic regression to investigate the relationship between OBS and CKM staging.

Predicting major adverse cardiac events in diabetes and chronic kidney disease: a machine learning study from the Silesia Diabetes-Heart Project.

Background: People living with diabetes mellitus (DM) and chronic kidney disease (CKD) are at significantly high risk of cardiovascular events (CVEs), however the predictive performance of traditional risk prediction methods are limited.

Methods: We utilised machine learning (ML) model to predict CVEs in persons with DM and CKD from the Silesia Diabetes-Heart Project, a routine standard of care dataset. CVEs were defined as composite of nonfatal myocardial infarction, new onset heart failure, nonfatal stroke, incident atrial fibrillation, undergoing percutaneous coronary intervention or coronary artery bypass grafting, hospitalisation or death due to cardiovascular disease.

Renal function and adverse clinical events in anticoagulated patients with atrial fibrillation: insights from the GLORIA-AF Registry Phase III.

Renal function, assessed by creatinine clearance (CrCl), affects the efficacy and safety of oral anticoagulant (OAC) therapy in patients with atrial fibrillation (AF). To investigate the association between CrCl and the risk of clinical adverse events and compare the safety profiles of vitamin K antagonists (VKA) and non-vitamin K antagonist oral anticoagulants (NOAC). Patients with newly diagnosed AF (< 3 months before baseline visit) were collected from the prospective Global Registry on Long-Term Oral Anti-Thrombotic Treatment in Patients with Atrial Fibrillation (GLORIA-AF) registry Phase III.

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.

The prognostic impact of stress hyperglycemia ratio on mortality in cardiogenic shock: a MIMIC-IV database analysis.

Background: The stress hyperglycemia ratio (SHR) has been established as a predictor of unfavorable outcomes across various diseases. However, its relationship with prognosis in patients with cardiogenic shock (CS) remains unclear. This study aims to investigate the association between SHR and outcomes in CS patients.

Adverse events in clinically complex elderly patients with atrial fibrillation according to oral anticoagulation status.

Background: Few data are available about the impact of oral anticoagulants (OAC) in patients with Atrial Fibrillation (AF) and clinical complexity (CC).

Methods: We conducted a retrospective study utilising data from the TriNetX network. Based on ICD-10-CM codes entered between 2020 and 2022, AF patients aged ≥75 years on long-term OAC with CC were categorised into two groups based on OAC use in the year before entering the study (maintained vs discontinued).

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.

Phenotypes of South Asian patients with atrial fibrillation and holistic integrated care management: cluster analysis of data from KERALA-AF Registry.

Background: Patients with atrial fibrillation (AF) frequently experience multimorbidity. Cluster analysis, a machine learning method for classifying patients with similar phenotypes, has not yet been used in South Asian AF patients.

Methods: The Kerala Atrial Fibrillation Registry is a prospective multicentre cohort study in Kerala, India, and the largest prospective AF registry in South Asia.

Machine learning for stroke in heart failure with reduced ejection fraction but without atrial fibrillation: A post-hoc analysis of the WARCEF trial.

Background: The prediction of ischaemic stroke in patients with heart failure with reduced ejection fraction (HFrEF) but without atrial fibrillation (AF) remains challenging. Our aim was to evaluate the performance of machine learning (ML) in identifying the development of ischaemic stroke in this population.

Methods: We performed a post-hoc analysis of the WARCEF trial, only including patients without a history of AF.

Long-term risks and benefits of oral anticoagulation in atrial fibrillation patients with cancer: A report from the GLORIA-AF registry.

Background: Anticoagulation therapy in patients with atrial fibrillation (AF) and concomitant cancer can be challenging due to the significantly increased risk of both embolism and bleeding. Moreover, the benefits and risks of vitamin K antagonists (VKA, eg. warfarin) versus non-vitamin K antagonist oral anticoagulants (NOACs) in such patients are less well understood.