Samuel A.P. Short , Katherine Wilkinson , Erin Hald , George Howard , Virginia Howard , Suzanne E. Judd , Elsayed Z. Soliman , Brett Kissela , David Robinson , Robert Stanton , Mary Cushman
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Existing risk calculators guiding anticoagulation decisions in AF have substantial limitations.</div></div><div><h3>Objectives</h3><div>To determine whether biomarkers of stroke risk for general populations are associated with stroke risk in AF and improve predictive performance of the CHA<sub>2</sub>DS<sub>2</sub>-VASc (Congestive heart failure, Hypertension, Age >74, Diabetes, prior Stroke or transient ischemic attack or thromboembolism, Vascular disease, Age 65-74, Sex category) score.</div></div><div><h3>Methods</h3><div>The REasons for Geographic And Racial Differences in Stroke (REGARDS) is a prospective cohort study of 30 239 adults enrolled in 2003 to 2007 and monitored for stroke. Participants with AF not taking anticoagulants and with no prior stroke history were studied. Nine circulating biomarkers were measured in stored baseline samples. Cox models, adjusted for demographics and stroke risk factors estimated associations of each biomarker with incident stroke. Then, models with CHA<sub>2</sub>DS<sub>2</sub>-VASc score alone or adding biomarkers were compared using tests of fit (likelihood ratio test and Akaike information criterion) and risk discrimination (continuous net reclassification index, [NRI<sup>>0</sup>]).</div></div><div><h3>Results</h3><div>Among 2411 participants with AF (median age 69 years, 55% female, 36% Black), 163 (7%) developed first-time ischemic stroke over 13 years. Higher N-terminal pro-B-type natriuretic peptide, growth differentiation factor 15, cystatin C, interleukin 6, and lipoprotein (a) were independently associated with higher stroke risk. Biomarkers substantially improved CHA<sub>2</sub>DS<sub>2</sub>-VASc model fit (change in Akaike information criterion −13, <em>P</em> < .001) and predictive ability (5-year NRI<sup>>0</sup> 0.42). Adding only N-terminal pro-B-type natriuretic peptide and growth differentiation factor 15 yielded the best model fit and a similar NRI<sup>>0</sup> compared with all biomarkers.</div></div><div><h3>Conclusions</h3><div>Five biomarkers were associated with stroke risk in AF, and 2 of these improved CHA<sub>2</sub>DS<sub>2</sub>-VASc performance. This improved CHA<sub>2</sub>DS<sub>2</sub>-VASc–Biomarkers score can allow better selection of patients for anticoagulation to reduce stroke in AF.</div></div>","PeriodicalId":17326,"journal":{"name":"Journal of Thrombosis and Haemostasis","volume":"23 10","pages":"Pages 3160-3172"},"PeriodicalIF":5.0000,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving stroke risk prediction in atrial fibrillation with circulating biomarkers: the CHA2DS2-VASc–Biomarkers model\",\"authors\":\"Samuel A.P. 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Existing risk calculators guiding anticoagulation decisions in AF have substantial limitations.</div></div><div><h3>Objectives</h3><div>To determine whether biomarkers of stroke risk for general populations are associated with stroke risk in AF and improve predictive performance of the CHA<sub>2</sub>DS<sub>2</sub>-VASc (Congestive heart failure, Hypertension, Age >74, Diabetes, prior Stroke or transient ischemic attack or thromboembolism, Vascular disease, Age 65-74, Sex category) score.</div></div><div><h3>Methods</h3><div>The REasons for Geographic And Racial Differences in Stroke (REGARDS) is a prospective cohort study of 30 239 adults enrolled in 2003 to 2007 and monitored for stroke. Participants with AF not taking anticoagulants and with no prior stroke history were studied. Nine circulating biomarkers were measured in stored baseline samples. Cox models, adjusted for demographics and stroke risk factors estimated associations of each biomarker with incident stroke. Then, models with CHA<sub>2</sub>DS<sub>2</sub>-VASc score alone or adding biomarkers were compared using tests of fit (likelihood ratio test and Akaike information criterion) and risk discrimination (continuous net reclassification index, [NRI<sup>>0</sup>]).</div></div><div><h3>Results</h3><div>Among 2411 participants with AF (median age 69 years, 55% female, 36% Black), 163 (7%) developed first-time ischemic stroke over 13 years. Higher N-terminal pro-B-type natriuretic peptide, growth differentiation factor 15, cystatin C, interleukin 6, and lipoprotein (a) were independently associated with higher stroke risk. Biomarkers substantially improved CHA<sub>2</sub>DS<sub>2</sub>-VASc model fit (change in Akaike information criterion −13, <em>P</em> < .001) and predictive ability (5-year NRI<sup>>0</sup> 0.42). 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Improving stroke risk prediction in atrial fibrillation with circulating biomarkers: the CHA2DS2-VASc–Biomarkers model
Background
Anticoagulation reduces ischemic stroke in atrial fibrillation (AF) but increases bleeding. Existing risk calculators guiding anticoagulation decisions in AF have substantial limitations.
Objectives
To determine whether biomarkers of stroke risk for general populations are associated with stroke risk in AF and improve predictive performance of the CHA2DS2-VASc (Congestive heart failure, Hypertension, Age >74, Diabetes, prior Stroke or transient ischemic attack or thromboembolism, Vascular disease, Age 65-74, Sex category) score.
Methods
The REasons for Geographic And Racial Differences in Stroke (REGARDS) is a prospective cohort study of 30 239 adults enrolled in 2003 to 2007 and monitored for stroke. Participants with AF not taking anticoagulants and with no prior stroke history were studied. Nine circulating biomarkers were measured in stored baseline samples. Cox models, adjusted for demographics and stroke risk factors estimated associations of each biomarker with incident stroke. Then, models with CHA2DS2-VASc score alone or adding biomarkers were compared using tests of fit (likelihood ratio test and Akaike information criterion) and risk discrimination (continuous net reclassification index, [NRI>0]).
Results
Among 2411 participants with AF (median age 69 years, 55% female, 36% Black), 163 (7%) developed first-time ischemic stroke over 13 years. Higher N-terminal pro-B-type natriuretic peptide, growth differentiation factor 15, cystatin C, interleukin 6, and lipoprotein (a) were independently associated with higher stroke risk. Biomarkers substantially improved CHA2DS2-VASc model fit (change in Akaike information criterion −13, P < .001) and predictive ability (5-year NRI>0 0.42). Adding only N-terminal pro-B-type natriuretic peptide and growth differentiation factor 15 yielded the best model fit and a similar NRI>0 compared with all biomarkers.
Conclusions
Five biomarkers were associated with stroke risk in AF, and 2 of these improved CHA2DS2-VASc performance. This improved CHA2DS2-VASc–Biomarkers score can allow better selection of patients for anticoagulation to reduce stroke in AF.
期刊介绍:
The Journal of Thrombosis and Haemostasis (JTH) serves as the official journal of the International Society on Thrombosis and Haemostasis. It is dedicated to advancing science related to thrombosis, bleeding disorders, and vascular biology through the dissemination and exchange of information and ideas within the global research community.
Types of Publications:
The journal publishes a variety of content, including:
Original research reports
State-of-the-art reviews
Brief reports
Case reports
Invited commentaries on publications in the Journal
Forum articles
Correspondence
Announcements
Scope of Contributions:
Editors invite contributions from both fundamental and clinical domains. These include:
Basic manuscripts on blood coagulation and fibrinolysis
Studies on proteins and reactions related to thrombosis and haemostasis
Research on blood platelets and their interactions with other biological systems, such as the vessel wall, blood cells, and invading organisms
Clinical manuscripts covering various topics including venous thrombosis, arterial disease, hemophilia, bleeding disorders, and platelet diseases
Clinical manuscripts may encompass etiology, diagnostics, prognosis, prevention, and treatment strategies.