Subscribe to RSS
![](/products/assets/desktop/img/oa-logo.png)
DOI: 10.1055/s-0043-1771167
Ischemic stroke risk factors not included in the CHADS-VASC score in patients with non-valvular atrial fibrillation
Fatores de risco de AVC isquêmico não incluídos no escore CHADS-VASC em pacientes com fibrilação atrial não valvar![](https://www.thieme-connect.de/media/10.1055-s-00054595/202308/lookinside/thumbnails/10-1055-s-0043-1771167_220296-1.jpg)
Abstract
Background In patients with atrial fibrillation, the CHA2DS2-VASC score guides stroke prevention using anticoagulants, but it is an imperfect score. Other potential risk factors such as renal failure, the type of atrial fibrillation, active smoking, cancer, sleep apnea or systemic inflammation have less well been investigated.
Objective To assess the impact of these factors on ischemic stroke risk in patients with non-valvular atrial fibrillation.
Methods On a population of 248 patients (124 patients with acute ischemic stroke and 124 controls), we performed a logistic regression to assess the impact of multiple non-classic risk factors for the prediction of acute ischemic stroke. Their impact on mortality was assessed by performing a survival analysis.
Results A high CHA2DS2-VASc score (OR 1.75; 95% CI 1.13–2.70; p = 0.032), treatment with anticoagulants (OR 0.19; 95% CI 0.07–0.51; p < 0.001) and permanent atrial fibrillation (OR 6.31; 95% CI 2.46–16.19; p < 0.001) were independently associated with acute ischemic stroke. Renal failure and chronic obstructive pulmonary disease predicted a higher mortality. After adjusting for age, sex, the CHA2DS2-VASc score and the use of anticoagulants, the only risk factor predictive for acute ischemic stroke was the permanent type of AF (OR: 8.0 [95% CI 2.5–25.5], p < 0.001).
Conclusions The CHA2DS2-VASc score, the absence of anticoagulants and the permanent type of atrial fibrillation were the main predictive factors for the occurrence of acute ischemic stroke. Larger studies are necessary for conclusive results about other factors.
Resumo
Antecedentes Em pacientes com fibrilação atrial, o escore CHA2DS2-VASC orienta a prevenção de AVC com anticoagulantes, mas é um escore imperfeito. Outros fatores de risco potenciais, como insuficiência renal, o tipo de fibrilação atrial, tabagismo ativo, câncer, apnéia do sono ou inflamação sistêmica foram menos bem investigados.
Objetivo Avaliar o impacto desses fatores no risco de AVC isquêmico em pacientes com fibrilação atrial não valvular.
Métodos Em uma população de 248 pacientes (124 pacientes com AVC isquêmico agudo e 124 controles), realizamos uma regressão logística para avaliar o impacto de múltiplos fatores de risco não clássicos na predição de AVC isquêmico agudo. O seu impacto na mortalidade foi avaliado através da realização de uma análise de sobrevivência.
Resultados Escore CHA2DS2-VASc alto (OR 1,75; IC 95% 1,13–2,70; p = 0,032), tratamento com anticoagulantes (OR 0,19; IC 95% 0,07–0,51; p < 0,001) e fibrilação atrial permanente (OR 6,31; 95% CI 2,46–16,19; p < 0,001) foram independentemente associados ao AVC isquêmico agudo. Insuficiência renal e doença pulmonar obstrutiva crônica previram maior mortalidade. Após ajuste para idade, sexo, pontuação CHA2DS2-VASc e uso de anticoagulantes, o único fator de risco preditivo para AVC isquêmico agudo foi o tipo permanente de FA (OR: 8,0 [IC 95% 2,5–25,5], p < 0,001).
Conclusões O escore CHA2DS2-VASc, a ausência de anticoagulantes e o tipo permanente de fibrilação atrial foram os principais fatores preditivos para a ocorrência de AVC isquêmico agudo. Estudos maiores são necessários para resultados conclusivos sobre outros fatores.
Authors' Contributions
LLG: conceptualization, data curation, formal analysis, investigation, methodology, writing – original draft; SD: conceptualization, formal analysis, investigation, methodology, writing – review & editing; AF: conceptualization, data curation, investigation, validation; LM: conceptualization, methodology, project administration, supervision, validation, visualization, writing – review & editing.
Publication History
Received: 03 December 2022
Accepted: 09 April 2023
Article published online:
11 August 2023
© 2023. Academia Brasileira de Neurologia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution 4.0 International License, permitting copying and reproduction so long as the original work is given appropriate credit (https://creativecommons.org/licenses/by/4.0/)
Thieme Revinter Publicações Ltda.
Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil
-
References
- 1 Béjot Y, Daubail B, Giroud M. Epidemiology of stroke and transient ischemic attacks: Current knowledge and perspectives. Rev Neurol (Paris) 2016; 172 (01) 59-68
- 2 de Peretti C, Nicolau J, Tuppin P, Schnitzler A, Woimant F. [Acute and post-acute hospitalizations for stroke in France: recent improvements (2007-2009)]. Presse Med 2012; 41 (05) 491-503
- 3 Blanc-Labarre C, Delpont B, Hervieu-Bègue M. et al. Prise en charge aiguë des infarctus cérébraux en 2017. Rev Med Interne 2018; 39 (06) 408-413
- 4 Leys D, Béjot Y, Debette S, Giroud M. Burden of stroke in France. Int J Stroke 2008; 3 (02) 117-119
- 5 Camm AJ, Lip GYH, De Caterina R. et al; ESC Committee for Practice Guidelines (CPG). 2012 focused update of the ESC Guidelines for the management of atrial fibrillation: an update of the 2010 ESC Guidelines for the management of atrial fibrillation. Developed with the special contribution of the European Heart Rhythm Association. Eur Heart J 2012; 33 (21) 2719-2747
- 6 Oladiran O, Nwosu I. Stroke risk stratification in atrial fibrillation: a review of common risk factors. J Community Hosp Intern Med Perspect 2019; 9 (02) 113-120
- 7 Wolf PA, Abbott RD, Kannel WB. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. Stroke 1991; 22 (08) 983-988
- 8 Friberg L, Hammar N, Ringh M, Pettersson H, Rosenqvist M. Stroke prophylaxis in atrial fibrillation: who gets it and who does not? Report from the Stockholm Cohort-study on Atrial Fibrillation (SCAF-study). Eur Heart J 2006; 27 (16) 1954-1964
- 9 Risk factors for stroke and efficacy of antithrombotic therapy in atrial fibrillation. Analysis of pooled data from five randomized controlled trials. Arch Intern Med 1994; 154 (13) 1449-1457
- 10 Stroke Prevention in Atrial Fibrillation Investigators. Risk factors for thromboembolism during aspirin therapy in patients with atrial fibrillation: The stroke prevention in atrial fibrillation study. J Stroke Cerebrovasc Dis 1995; 5 (03) 147-157
- 11 Gage BF, Waterman AD, Shannon W, Boechler M, Rich MW, Radford MJ. Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation. JAMA 2001; 285 (22) 2864-2870
- 12 Lip GYH, Nieuwlaat R, Pisters R, Lane DA, Crijns HJ. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation. Chest 2010; 137 (02) 263-272
- 13 Singer DE, Chang Y, Borowsky LH. et al. A new risk scheme to predict ischemic stroke and other thromboembolism in atrial fibrillation: the ATRIA study stroke risk score. J Am Heart Assoc 2013; 2 (03) e000250
- 14 van den Ham HA, Klungel OH, Singer DE, Leufkens HG, van Staa TP. Comparative Performance of ATRIA, CHADS2, and CHA2DS2-VASc Risk Scores Predicting Stroke in Patients With Atrial Fibrillation: Results From a National Primary Care Database. J Am Coll Cardiol 2015; 66 (17) 1851-1859
- 15 Lip GYH, Nielsen PB, Skjøth F, Lane DA, Rasmussen LH, Larsen TB. The value of the European society of cardiology guidelines for refining stroke risk stratification in patients with atrial fibrillation categorized as low risk using the anticoagulation and risk factors in atrial fibrillation stroke score: a nationwide cohort study. Chest 2014; 146 (05) 1337-1346
- 16 Fox KAA, Lucas JE, Pieper KS. et al; GARFIELD-AF Investigators. Improved risk stratification of patients with atrial fibrillation: an integrated GARFIELD-AF tool for the prediction of mortality, stroke and bleed in patients with and without anticoagulation. BMJ Open 2017; 7 (12) e017157
- 17 Abumuaileq RR-Y, Abu-Assi E, López-López A. et al. Comparison between CHA2DS2-VASc and the new R2CHADS2 and ATRIA scores at predicting thromboembolic event in non-anticoagulated and anticoagulated patients with non-valvular atrial fibrillation. BMC Cardiovasc Disord 2015; 15: 156
- 18 Kapłon-Cieślicka A, Budnik M, Gawałko M. et al. Atrial fibrillation type and renal dysfunction as important predictors of left atrial thrombus. Heart 2019; 105 (17) 1310-1315
- 19 Kirchhof P, Benussi S, Kotecha D. et al; ESC Scientific Document Group. 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Eur Heart J 2016; 37 (38) 2893-2962
- 20 Ferreira C, Providência R, Ferreira MJ, Gonçalves LM. Atrial Fibrillation and Non-cardiovascular Diseases: A Systematic Review. Arq Bras Cardiol 2015; 105 (05) 519-526
- 21 Apostolakis S, Guo Y, Lane DA, Buller H, Lip GY. Renal function and outcomes in anticoagulated patients with non-valvular atrial fibrillation: the AMADEUS trial. Eur Heart J 2013; 34 (46) 3572-3579
- 22 Atar D, Berge E, Le Heuzey J-Y. et al; GARFIELD-AF Investigators. The association between patterns of atrial fibrillation, anticoagulation, and cardiovascular events. Europace 2020; 22 (02) 195-204
- 23 Hohnloser SH, Pajitnev D, Pogue J. et al; ACTIVE W Investigators. Incidence of stroke in paroxysmal versus sustained atrial fibrillation in patients taking oral anticoagulation or combined antiplatelet therapy: an ACTIVE W Substudy. J Am Coll Cardiol 2007; 50 (22) 2156-2161
- 24 Friberg L, Hammar N, Rosenqvist M. Stroke in paroxysmal atrial fibrillation: report from the Stockholm Cohort of Atrial Fibrillation. Eur Heart J 2010; 31 (08) 967-975
- 25 Banerjee A, Taillandier S, Olesen JB. et al. Pattern of atrial fibrillation and risk of outcomes: the Loire Valley Atrial Fibrillation Project. Int J Cardiol 2013; 167 (06) 2682-2687
- 26 Yang SY, Huang M, Wang AL. et al. Atrial fibrillation burden and the risk of stroke: A systematic review and dose-response meta-analysis. World J Clin Cases 2022; 10 (03) 939-953
- 27 Witassek F, Springer A, Adam L. et al; Swiss-AF study investigators. Health-related quality of life in patients with atrial fibrillation: The role of symptoms, comorbidities, and the type of atrial fibrillation. PLoS One 2019; 14 (12) e0226730
- 28 Ederhy S, Di Angelantonio E, Dufaitre G. et al. C-reactive protein and transesophageal echocardiographic markers of thromboembolism in patients with atrial fibrillation. Int J Cardiol 2012; 159 (01) 40-46
- 29 Thambidorai SK, Parakh K, Martin DO. et al. Relation of C-reactive protein correlates with risk of thromboembolism in patients with atrial fibrillation. Am J Cardiol 2004; 94 (06) 805-807
- 30 Dawood FZ, Judd S, Howard VJ. et al. High-Sensitivity C-Reactive Protein and Risk of Stroke in Atrial Fibrillation (from the Reasons for Geographic and Racial Differences in Stroke Study). Am J Cardiol 2016; 118 (12) 1826-1830
- 31 Klein Klouwenberg PMC, Frencken JF, Kuipers S. et al; MARS Consortium *. Incidence, Predictors, and Outcomes of New-Onset Atrial Fibrillation in Critically Ill Patients with Sepsis. A Cohort Study. Am J Respir Crit Care Med 2017; 195 (02) 205-211
- 32 Zhou Y, Han W, Gong D, Man C, Fan Y. Hs-CRP in stroke: A meta-analysis. Clin Chim Acta 2016; 453: 21-27
- 33 Chang S-N, Lai L-P, Chiang F-T, Lin JL, Hwang JJ, Tsai CT. C-reactive protein gene polymorphism predicts the risk of thromboembolic stroke in patients with atrial fibrillation: a more than 10-year prospective follow-up study. J Thromb Haemost 2017; 15 (08) 1541-1546
- 34 Providência R, Marijon E, Boveda S. et al. Meta-analysis of the influence of chronic kidney disease on the risk of thromboembolism among patients with nonvalvular atrial fibrillation. Am J Cardiol 2014; 114 (04) 646-653
- 35 Zeng W-T, Sun X-T, Tang K. et al. Risk of thromboembolic events in atrial fibrillation with chronic kidney disease. Stroke 2015; 46 (01) 157-163
- 36 Genovesi S, Pogliani D, Faini A. et al. Prevalence of atrial fibrillation and associated factors in a population of long-term hemodialysis patients. Am J Kidney Dis 2005; 46 (05) 897-902
- 37 Piccini JP, Stevens SR, Chang Y. et al; ROCKET AF Steering Committee and Investigators. Renal dysfunction as a predictor of stroke and systemic embolism in patients with nonvalvular atrial fibrillation: validation of the R(2)CHADS(2) index in the ROCKET AF (Rivaroxaban Once-daily, oral, direct factor Xa inhibition Compared with vitamin K antagonism for prevention of stroke and Embolism Trial in Atrial Fibrillation) and ATRIA (AnTicoagulation and Risk factors In Atrial fibrillation) study cohorts. Circulation 2013; 127 (02) 224-232
- 38 Yoshizawa R, Komatsu T, Kunugita F. et al. Comparison of the CHADS2, CHA2DS2-VASc and R2CHADS2 Scores in Japanese Patients with Non-valvular Paroxysmal Atrial Fibrillation Not Receiving Anticoagulation Therapy. Intern Med 2017; 56 (21) 2827-2836
- 39 Hu YF, Liu CJ, Chang PM. et al. Incident thromboembolism and heart failure associated with new-onset atrial fibrillation in cancer patients. Int J Cardiol 2013; 165 (02) 355-357
- 40 Fitzpatrick T, Carrier M, Le Gal G. Cancer, atrial fibrillation, and stroke. Thromb Res 2017; 155: 101-105
- 41 Jaakkola J, Hartikainen P, Kiviniemi TO. et al. Distribution of ischemic strokes in patients with atrial fibrillation: The FibStroke Study. Neurol Clin Pract 2019; 9 (04) 330-336