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Anti-ageing interventions for the treatment of cardiovascular disease - PubMed

Anti-ageing interventions for the treatment of cardiovascular disease - PubMed

Source : https://pubmed.ncbi.nlm.nih.gov/39172536/

As the global demographic landscape continues to shift towards an aged population, so does the medical and socioeconomic burden of cardiovascular diseases. Indeed, ageing is one of, if not, the...

Emerging anti-ageing strategies—epigenetic, metabolic, autophagy, senolytic, and anti-inflammatory therapies—may delay cardiovascular disease progression, reframing ageing as a modifiable risk factor.

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Removal of a broken venous port from the pulmonary artery: a case series - PubMed

Removal of a broken venous port from the pulmonary artery: a case series - PubMed

Source : https://pubmed.ncbi.nlm.nih.gov/40718662/

The use of venous access ports carries a risk of complications, including catheter fracture with migration of catheter fragments into the pulmonary arteries. Experience in removing broken catheters is limited...

Four cases demonstrate successful, complication-free removal of fractured venous access port catheters from pulmonary arteries using lassos and lead extraction tools, highlighting practical strategies for managing this rare complication.

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Updates in interventional cardiology in children with cardiac disease - PubMed

Updates in interventional cardiology in children with cardiac disease - PubMed

Source : https://pubmed.ncbi.nlm.nih.gov/40481951/

There is significant variability in management strategies within pediatric interventional cardiology that can be addressed using registries and multicenter studies. * Novel devices like new self-expanding pulmonary valves, bioresorbable stents,...

Pediatric interventional cardiology is rapidly evolving with novel devices and procedures, yet care variability persists. Registries and multicenter studies are essential to standardize strategies and optimize congenital heart disease management.

 

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Construction of machine learning diagnostic models for cardiovascular pan-disease based on blood routine and biochemical detection data - PubMed

Construction of machine learning diagnostic models for cardiovascular pan-disease based on blood routine and biochemical detection data - PubMed

Source : https://pubmed.ncbi.nlm.nih.gov/39342281/

The present study constructed multiple models using 50 features from the blood routine and biochemical detection data for the diagnosis of various circulation system diseases. At the same time, the...

This study developed machine learning models using blood and biochemical data for cardiovascular disease diagnosis, with XGBoost showing highest accuracy, highlighting key hematologic and metabolic predictors for cost-effective, accessible screening.

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Phase 2 ADVANTAGE AF showed pulsed field ablation safely achieved pulmonary vein, posterior wall, and cavotricuspid isthmus ablation in persistent atrial fibrillation, with effective rhythm control and reduced healthcare utilization.