Stroke and presence of patent foramen ovale in sickle cell disease.
Constantina AggeliKali PolytarchouYannis DimitroglouDimitrios PatsourakosSophia DelicouSophia VassilopoulouEleftherios TsiamisKostas TsioufisPublished in: Journal of thrombosis and thrombolysis (2021)
Sickle cell disease (SCD) is an inherited monogenic hemoglobinopathy characterized by formation of sickle erythrocytes under conditions of deoxygenation. Sickle erythrocytes can lead to thrombus formation and vaso-occlusive episodes that may result in hemolytic anemia, pain crisis and multiple organ damage. Moreover, SCD is characterized by endothelial damage, increased inflammatory response, platelet activation and aggravation, and activation of both the intrinsic and the extrinsic coagulation pathways. Cerebrovascular events constitute an important clinical complication of SCD. Children with SCD have a 300-fold higher risk of acute stroke and by the age of 45 about 25% of patients have suffered an overt stoke. Management and prevention of stroke in patients with SCD is not well defined. Moreover, the presence of patent foramen ovale (PFO) increases the risk of the occurrence of an embolic cerebrovascular event. The role of PFO closure and antiplatelet or anticoagulation therapy has not been well investigated. Moreover, during COVID-19 pandemic and taking into account the increased rates of thrombotic events and the difficulties in blood transfusion, management of SCD patients is even more challenging and difficult, since data are scarce regarding stroke occurrence and management in this specific population in the COVID-19 era. This review focuses on pathophysiology of stroke in patients with SCD and possible treatment strategies in the presence of PFO.
Keyphrases
- sickle cell disease
- atrial fibrillation
- end stage renal disease
- inflammatory response
- chronic kidney disease
- newly diagnosed
- ejection fraction
- risk assessment
- peritoneal dialysis
- sars cov
- public health
- prognostic factors
- coronavirus disease
- young adults
- cerebral ischemia
- neuropathic pain
- deep learning
- single molecule
- electronic health record
- atomic force microscopy