Non-embolic outcomes in patients with cardiovascular disease and atrial fibrillation treated with rivaroxaban.
Francisco MarínMarcelo Sanmartín FernándezGonzalo Barón-EsquiviasVivencio BarriosIñaki LekuonaAlejandro Isidoro Pérez CabezaJaime Masjuan VallejoEsther Recalde Del VigoJosé Manuel Vázquez RodríguezRomán Freixa-PamiasVanessa Roldán SchillingFernando Arribas-YnsaurriagaCarles Rafols PriuManuel Anguita SánchezPublished in: Journal of comparative effectiveness research (2023)
Aim: It is not well known how comorbidities may change the prognosis of atrial fibrillation (AF) patients. This study was aimed to analyze the impact of cardiovascular disease on this population. Materials & methods: EMIR was a multicenter, prospective study, including 1433 AF patients taking rivaroxaban for ≥6 months. Data were analyzed according to the presence of vascular disease. Results: Coronary artery disease was detected in 16.4%, peripheral artery disease/aortic plaque in 6.7%, vascular disease in 28.3%. Patients with coronary artery disease had higher rates (per 100 patient-years) of major adverse cardiovascular events (2.98 vs 0.71; p < 0.001) and cardiovascular death (1.79 vs 0.41; p = 0.004). Those with vascular disease had higher rates of thromboembolic events (1.47 vs 0.44; p = 0.007), major adverse cardiovascular events (2.03 vs 0.70; p = 0.004), and cardiovascular death (1.24 vs 0.39; p = 0.025). Patients with peripheral artery disease/aortic plaque had similar rates. Conclusion: AF patients with vascular disease have a higher risk of non-embolic outcomes.
Keyphrases
- atrial fibrillation
- cardiovascular events
- coronary artery disease
- cardiovascular disease
- peripheral artery disease
- end stage renal disease
- newly diagnosed
- oral anticoagulants
- left atrial
- chronic kidney disease
- catheter ablation
- left atrial appendage
- ejection fraction
- heart failure
- direct oral anticoagulants
- prognostic factors
- peritoneal dialysis
- type diabetes
- left ventricular
- pulmonary embolism
- coronary artery bypass grafting
- acute coronary syndrome
- aortic valve
- machine learning
- case report
- cardiovascular risk factors
- metabolic syndrome
- pulmonary artery
- patient reported
- skeletal muscle
- drug induced
- coronary artery
- patient reported outcomes
- adverse drug
- artificial intelligence