Literature DB >> 30580712

CHA2DS2-VASc Score and Stroke Prediction in Atrial Fibrillation in Whites, Blacks, and Hispanics.

Lin Y Chen1, Faye L Norby2, Alanna M Chamberlain3, Richard F MacLehose2, Lindsay G S Bengtson4, Pamela L Lutsey2, Alvaro Alonso5.   

Abstract

Background and Purpose- Despite modest predictive ability for ischemic stroke (IS), the CHA2DS2-VASc score is widely used for stroke prediction in atrial fibrillation. Among patients with atrial fibrillation, we aimed to (1) compare the IS or transient ischemic attack (TIA) incidence by CHA2DS2-VASc in blacks and Hispanics versus whites; (2) compare predictive ability of CHA2DS2-VASc score for IS or TIA in blacks and Hispanics versus whites; and (3) determine improvement in predictive ability of CHA2DS2-VASc score from addition of race/ethnicity. Methods- Using data from Optum Clinformatics, a large administrative claims database, we analyzed patients with atrial fibrillation enrolled in commercial and Medicare Advantage health plans from 2009 to 2015. We computed IS or TIA incidence rates, improvement in C statistic, continuous and categorical net reclassification improvement, and relative integrated discrimination improvement from addition of race/ethnicity to CHA2DS2-VASc. Results- A total of 267 419 patients (mean age, 73.1 [SD, 12.3] years; 46.6% women; 84.2% white, 8.5% black, 7.3% Hispanic) were studied. After a mean follow-up of 22 months, there were 6202 IS or TIA events. IS or TIA incidence rates were higher in blacks than Hispanics or whites (1.65, 1.40, and 1.22 cases per 100 person-years, respectively) and increased with higher CHA2DS2-VASc, with no race/ethnicity-based differences (P for interaction=0.17). The CHA2DS2-VASc and CHA2DS2-VASc+race/ethnicity C statistic (95% CI) were 0.679 (0.670-0.686) and 0.679 (0.671-0.688). The CHA2DS2-VASc C statistic in the 3 groups were comparable. With addition of race/ethnicity, the categorical net reclassification improvement, continuous net reclassification improvement, and relative integrated discrimination improvement were -0.045 (95% CI, -0.067 to -0.025), 0.045 (95% CI, 0.025-0.068), and 0.016 (95% CI, 0.014-0.018). Conclusions- The predictive ability of CHA2DS2-VASc for IS or TIA in atrial fibrillation is comparable among whites, blacks, and Hispanics; hence, it can be used in the latter 2 groups. Addition of race/ethnicity to the CHA2DS2-VASc does not improve its predictive ability.

Entities:  

Keywords:  atrial fibrillation; incidence; race; risk; stroke

Year:  2018        PMID: 30580712      PMCID: PMC6541553          DOI: 10.1161/STROKEAHA.118.021453

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  6 in total

1.  Increased Risk of Stroke Due to Non-adherence and Non-persistence with Direct Oral Anticoagulants (DOACs): Real-World Analyses Using a Nested Case-Control Study from The Netherlands, Italy and Germany.

Authors:  Emily Holthuis; Elisabeth Smits; George Spentzouris; Dominik Beier; Dirk Enders; Rosa Gini; Claudia Bartolini; Giampiero Mazzaglia; Fernie Penning-van Beest; Ron Herings
Journal:  Drugs Real World Outcomes       Date:  2022-07-05

Review 2.  Racial and Ethnic Considerations in Patients With Atrial Fibrillation: JACC Focus Seminar 5/9.

Authors:  Faye L Norby; Emelia J Benjamin; Alvaro Alonso; Sumeet S Chugh
Journal:  J Am Coll Cardiol       Date:  2021-12-21       Impact factor: 27.203

3.  Important Risk Factors in Patients with Nonvalvular Atrial Fibrillation Taking Dabigatran Using Integrated Machine Learning Scheme-A Post Hoc Analysis.

Authors:  Yung-Chuan Huang; Yu-Chen Cheng; Mao-Jhen Jhou; Mingchih Chen; Chi-Jie Lu
Journal:  J Pers Med       Date:  2022-05-06

4.  Treatment of Cryptogenic Stroke Patients with Atrial Fibrillation Detected by Insertable Cardiac Monitors Reduces Recurrent Stroke Risk to Background Levels.

Authors:  E Martin Kloosterman; Jonathan Z Rosman; Eric J Berkowitz; Murray Rosenbaum; Zachary A Wettenstein
Journal:  J Innov Card Rhythm Manag       Date:  2021-12-15

5.  Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.

Authors:  Jenish Maharjan; Yasha Ektefaie; Logan Ryan; Samson Mataraso; Gina Barnes; Sepideh Shokouhi; Abigail Green-Saxena; Jacob Calvert; Qingqing Mao; Ritankar Das
Journal:  Front Neurol       Date:  2022-01-25       Impact factor: 4.086

Review 6.  Mortality in atrial fibrillation. Is it changing?

Authors:  Alvaro Alonso; Zakaria Almuwaqqat; Alanna Chamberlain
Journal:  Trends Cardiovasc Med       Date:  2020-10-27       Impact factor: 6.677

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.