Biomarkers as Prognostic Factors of Silent, Cerebral Infarctions in Patients Undergoing High-thromboembolic-risk Transcatheter Interventions

Background: The transcatheter interventions with high thromboembolic risk, as transcatheter carotid angioplasty or transcatheter ablation of cardiac arrhythmias are associated with asymptomatic strokes- silent strokes. The silent strokes are cerebral infarctions with small diameter which are diagnosed with computed tomography or magnetic resonance imaging (MRI). Silent cerebral infarctions (SCIs) are associated with neurological deficits, cognitive impairment, high mortality and high risk of dementia. There are biomarkers, as neuron specific enolase (NSE) and neurofilaments (NFLs) which are indicated for the prognosis of these patients. Aim: The aim of this study is the prognostic role of biomarkers NSE and NFLs in patients undergoing high-thromboembolic-risk transcatheter interventions. This study will assess the hypothesis that the level of these biomarkers could predict the development of SCIs and the long-term cognitive impairment. Study type - materials: This study is a prospective, observational study. Patients undergoing highthromboembolic-risk transcatheter interventions will be included in this study. Protocol: All the demographic and clinical characteristics of patients will be recorded. Blood samples will be obtained, 24 hours pre-interventionally and 24 hours post-interventionally. The blood samples will be centrifugated and will be freezed at -80 οC for the measurement of biomarkers. MRI will be conducted 24 hours pre- and postinterventionally. The neurological assessment will be conducted with the use of Mini Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) questionnaires, 24 hours pre-interventionally, 24 hours and 6 months postinterventionally. Outcomes: The primary outcome is the association between level of biomarkers and the development of SCIs in MRI post-procedurally. Secondary outcomes concern the probable association of biomarkers with the cognitive impairment. The data will be assessed with statistical analysis and will be interpreted. The results of this study will be published with the view to create algorithms and prognostic tools for appropriate management of these patients.