Association of blood-based biomarkers with radiologic markers and cognitive decline in atrial fibrillation patients |
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| Affiliation: | 1. Neurovascular Research Laboratory, Vall d''Hebron Institute of Research (VHIR)-Universitat Autónoma de Barcelona, Barcelona, Spain;2. Neurovascular Research Laboratory, Institute of Biomedicine of Seville-IBIS, Sevilla, Spain;3. Stroke Unit, Hospital Universitari Germans Trias I Pujol, Badalona, Barcelona, Spain;4. Department of Radiology, Hospital Universitario Virgen del Rocío, Seville, Spain;5. Department of Psychology, Universidad Loyola Andalucía, Seville, Spain;6. NEURORHB, Servicio de Neurorrehabilitación de Hospitales Vithas, Seville, Spain;7. Stroke Unit, Hospital Universitario Virgen Macarena, Sevilla, Spain.;8. Stroke Unit, University Hospital Virgen del Rocio, Seville, Spain;1. Warren Alpert Medical School of Brown University, Providence, RI, USA;2. Division of Neurology, Mount Auburn Hospital, Cambridge, MA, USA;3. Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA;4. Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA;5. Section of Medical Education, Warren Alpert Medical School of Brown University, Providence, RI, USA;1. Department of Neurology, The First People''s Hospital of Jingmen, No.168 Xiangshan Avenue, Duodao District, Jingmen, Hubei 448000, China;2. Department of Stomatology, Jingmen Rehabilitation Hospital, China;1. Department of Comprehensive Strokology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi 470-1101, Japan;2. Innovative and Clinical Research Promotion Center, Gifu University Hospital, Gifu, Japan;3. Department of Neurosurgery, Kobe City Medical Center General Hospital, Kobe, Hyogo, Japan;4. Department of Neurosurgery, Kokura Memorial Hospital, Fukuoka, Japan;5. Department of Neurosurgery, Fujita Health University School of Medicine, Aichi, Japan;1. Division of Neurocritical Care, Montefiore Medical Center, Albert Einstein College of Medicine, NY, USA;2. Department of Neurology, Brigham and Women''s Hospital, Boston, MA, USA;3. Department of Neurology, Massachusetts General Hospital, Boston, MA, USA;4. Department of Pharmacy, Massachusetts General Hospital, Boston, MA, USA;5. Department of Pharmacy, Brigham and Women''s Hospital, Boston, MA, USA;6. Renal Division, Brigham and Women''s Hospital, Boston, MA, USA;7. Department of Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Thailand;8. Department of Neurosurgery, Brigham and Women''s Hospital, Boston, MA, USA;1. Swedish Medical Center, Englewood, CO, United States;2. Injury Outcomes Network and Trauma Research, LLC, 501 E Hampden Ave, Englewood, CO 80113, United States |
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| Abstract: | BackgroundAtrial fibrillation (AF) has been associated with an increased risk of silent brain infarcts (SBI) and cognitive impairment, even in patients with low embolic risk. We aimed to test the association between 11 blood-biomarkers representing different AF-related pathways, and SBI, white matter hyperintensities (WMH), and cognitive decline in patients with AF and low embolic risk.MethodsThe present study followed a cross-sectional design. 70 patients with a history of AF and CHADS2 score ≤1, and 10 controls with neither AF nor SBI were included. All patients underwent a 3T brain MRI. Cortical and large subcortical ischemic lesions were considered presumed embolic origin lesions. White matter hyperintensities (WMH) were measured according to the Fazekas scale. A subset of patients underwent cognitive evaluation with the MoCA test. Circulating proteins were measured under blind conditions in a laboratory at Roche Diagnostics, Germany.Results45 patients presented SBI in the MRI, and 25 did not. Ang-2, FGF-23, and BMP-10 were increased in patients with SBI. Ang-2 was elevated only in patients with embolic infarcts, whereas FGF-23 and BMP-10 tended to be elevated in patients with both types of infarcts. Ang-2 (OR = 1.56 [0.94-2.59], p = 0.087), and BMP-10 (OR = 4.83 [0.99–23.60], p = 0.052) were the biomarkers that showed the highest association with SBI when entered in a multivariable logistic regression model corrected by age. No biomarker was found associated with WMH or mild cognitive impairment.ConclusionsBMP-10, and Ang-2 were increased in patients with SBI. Its usefulness to detect SBI in AF patients should be further explored. |
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| Keywords: | SBI" },{" #name" :" keyword" ," $" :{" id" :" pc_wlJFBau6sj" }," $$" :[{" #name" :" text" ," _" :" Silent brain infarcts WMH" },{" #name" :" keyword" ," $" :{" id" :" pc_x07FA4uZxO" }," $$" :[{" #name" :" text" ," _" :" White matter hyperintensities AF" },{" #name" :" keyword" ," $" :{" id" :" pc_ST2WIYY0x2" }," $$" :[{" #name" :" text" ," _" :" atrial fibrillation |
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