Abstract
Background
Silent brain infarcts (SBI), a finding on neuroimaging, are associated with higher risk of future stroke. Atrial Fibrillation (AF) has been previously identified as a cause of SBI.
Objectives
The aim of this study is to determine the prevalence of and risk factors for SBI in patients with AF and low-to-moderate embolic risk according to CHADS2 and CHA2DS2VASc score.
Methods
Patients with a history of AF based on medical records who scored 0–1 in the CHADS2 score were selected from the Seville urban area using the Andalusian electronic healthcare database (DIRAYA). Demographic and clinical data were collected and a 3T brain MRI was performed on patients older than 50 years and with absence of neurological symptoms.
Results
66 of the initial 443 patients (14.9%) and 41 of the 349 patients with low risk according to CHA2DS2VASc score (11.7%) presented at least 1 SBI. After adjusted multivariable analysis, an older age (OR 3.84, 95% CI 1.07–13.76) and left atrial (LA) enlargement (OR 3.13, 95% CI 1.15–8.55) were associated with SBI in the whole cohort, while only LA enlargement was associated with SBI in the low-risk cohort (OR 3.19, 95% CI 1.33–7.63).
Conclusions
LA enlargement on echocardiogram was associated with SBI in patients with AF and low or moderate embolic risk according to CHADS2 and in the low-risk population according to CHA2DS2VASc. Although further studies are needed, a neuroimaging screening might be justified in these patients to guide medical therapies to improve stroke prevention.
Similar content being viewed by others
Abbreviations
- AF:
-
Atrial Fibrillation
- CHADS:
-
Congestive heart failure, Hypertension, Age (≥ 75), Diabetes mellitus, Stroke/TIA
- CHA2D2S-VASc:
-
Congestive heart failure, Hypertension, Age (≥ 75), Diabetes mellitus, Stroke/TIA, Vascular disease, Age 65–74, Sex category
- HAS-BLED:
-
Hypertension, Abnormal renal and liver function, Stroke (1 point), Bleeding history or predisposition, Labile INR, Elderly (> 65 years), Drugs and Alcohol.
- MRI:
-
Magnetic Resonance Imaging
- NVAF:
-
Non-Valvular Atrial Fibrillation
- SBI:
-
Silent Brain Infarct
- TTE:
-
Transthoracic Echocardiography
References
Wolf PA, Abbott RD, Kannel WB (1991) Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. Stroke 22:983–988
Stewart S, Hart CL, Hole DJ, McMurray JJ (2002) A population-based study of the long-term risks associated with atrial fibrillation: 20-year follow-up of the Renfrew/Paisley study. Am J Med 113:359–364
Marini C, De Santis F, Sacco S et al (2005) Contribution of atrial fibrillation to incidence and outcome of ischemic stroke: results from a population-based study. Stroke 36:1115–1119
Friberg L, Rosenqvist M, Lindgren A, Terént A, Norrving B, Asplund K (2014) High prevalence of atrial fibrillation among patients with ischemic stroke. Stroke 45:2599–2605
Thygesen SK, Frost L, Eagle KA, Johnsen SP (2009) Atrial fibrillation in patients with ischemic stroke: a population-based study. Clin Epidemiol 1:55–65
Vermeer SE, Longstreth WT Jr, Koudstaal PJ (2007) Silent brain infarcts: a systematic review. Lancet Neurol 6:611–619
Kalantarian S, Ay K, Gollub R et al (2014) Association between atrial fibrillation and silent cerebral infarctions. Ann Intern Med 161:650–658
Fanning JP, Wesley AJ, Wong AA, Fraser JF (2014) Emerging spectra of silent brain infarction. Stroke 45:3461–3471
Gupta A, Giambrone AE, Gialdini G et al (2016) Silent brain infarction and risk of future stroke: a systematic review and meta-analysis. Stroke 47:719–725
O’Carroll CB, Barrett KM (2017) Cardioembolic stroke. Continuum (Minneap Minn) 23:111–132
Molina Rueda MJ, Cabrera Castro N, Onieva García MA, López HB (2014) The electronic health record (Diraya): a resource in epidemiological surveillance. Gac Sanit 28:341–342
Smith EE, Saposnik G, Biessels GJ et al (2017) Prevention of stroke in patients with silent cerebrovascular disease a scientific statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 48:e44–e71
Wardlaw JM, Smith EE, Biessels GJ et al (2013) Standards for Reporting Vascular changes on Neuroimaging (STRIVE v1). Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol 12:822–838
Cha MJ, Park H, Lee MH, Cho Y, Choi EK, Oh S (2014) Prevalence of and risk factors for silent ischemic stroke in patients with atrial fibrillation as determined by brain magnetic resonance imaging. Am J Cardiol 113:655–661
Kohara K, Fujisawa M, Ando F et al (2003) MTHFR gene polymorphism as a risk factor for silent brain infarcts and white matter lesions in the Japanese general population: the NILS-LSA study. Stroke 34:1130–1135
DeCarli C, Massaro J, Harvey D et al (2005) Measures of brain morphology and infarction in the Framingham Heart Study: establishing what is normal. Neurobiol Aging 26:491–510
Schmidt R, Schmidt H, Pichler M et al (2006) C-reactive protein, carotid atherosclerosis, and cerebral small-vessel disease. Results of the Austrian Stroke Prevention Study. Stroke 37:2910–2916
Fanning JP, Wong AA, Fraser JF (2014) The epidemiology of silent brain infarction: a systematic review of population-based cohorts. BMC Med 12:119
Mounier-Vehier F, Leys D, Rondepierre P, Godefroy O, Pruvo JP (1993) Silent infarcts in patients with ischemic stroke are related to age and size of the left atrium. Stroke 24:1347–1351
Ogata T, Matsuo R, Kiyuna F et al (2017) Left atrial size and long-term risk of recurrent stroke after acute ischemic stroke in patients with nonvalvular atrial fibrillation. J Am Heart Assoc 6:e006402
Ricci B, Chang AD, Hemendinger M et al (2018) A simple score that predicts paroxysmal atrial fibrillation on outpatient cardiac monitoring after embolic stroke of unknown source. J Stroke Cerebrovasc Dis 27:1692–1696
Chiang CE, Naditch-Brule L, Murin J et al (2012) Distribution and risk profile of paroxysmal, persistent, and permanent atrial fibrillation in routine clinical practice: insight from the real-life global survey evaluating patients with atrial fibrillation international registry. Circ Arrhythm Electrophysiol 5:632–639
Banerjee A, Taillandier S, Olesen JB et al (2013) Pattern of atrial fibrillation and risk of outcomes: the Loire Valley Atrial Fibrillation Project. Int J Cardiol 167:2682–2687
Honosler S, Vamos M (2017) Not all types of atrial fibrillation carry the same stroke risk, but most benefit from oral anticoagulation. Circ Arrhythm Electrophysiol 10:e004847
Ganesan A, Chew D, Hartshorne T et al (2016) The impact of atrial fibrillation type on the risk of thromboembolism, mortality, and bleeding: a systematic review and meta-analysis. Eur Heart J 37:1591–1602
Kirchhof P, Benussi S, Kotecha D et al (2016) 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS: the task force for the management of atrial fibrillation of the European Society of Cardiology (ESC). Eur Heart J 37:2893–2962
Själander S, Själander A, Svensson PJ, Friberg L (2014) Atrial fibrillation patients do not benefit from acetylsalicylic acid. Europace 16:631–638
Gage BF, Waterman AD, Shannon W, Boechier M, Rich MW, Radford MJ (2001) Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation. JAMA 285(22):2864–2870
Mosterd A, Hoes AW (2007) Clinical epidemiology of heart failure. Heart 93:1137–1146
Wardlaw J, Smith C, Dichgans M (2013) Mechanisms of sporadic cerebral small vessel disease: insights from neuroimaging. Lancet Neurol 12:483–497
Chen JY, Zhang AD, Lu HY, Guo J, Wang FF, Li ZC (2013) Meta-analysis of the comparison between CHADS2 and CHA2DS2-VASc. J Geriatr Cardiol 10:258–266
Kim TH, Yang PS, Kim D et al (2017) CHA2DS2-VASc score for identifying truly low-risk atrial fibrillation for stroke: a Korean Nationwide Cohort Study. Stroke 48:2984–2990
Seshadri S, Wolf PA, Beiser AS et al (2008) Association of plasma total homocysteine levels with subclinical brain injury: cerebral volumes, white matter hyperintensity, and silent brain infarcts at volumetric magnetic resonance imaging in the Framingham Offspring Study. Arch Neurol 65:642–649
Asumi M, Yamaguchi T, Saito K et al (2010) Are serum cholesterol levels associated with silent brain infarcts? The Seiryo Clinic Study. Atherosclerosis 210:674–677
Acknowledgements
We would like to thank our MRI technicians for their work and Mar Díez from Fundación Cajasol for her interest in the project.
Funding
The Spanish Ministry of Economy, Industry and Competitiveness (Grant RTC-2016-5300-1), the Junta de Andalucía (Grant PIN-0144-2016) and the European Project ITRIBIS supported the study. The Fundación Cajasol also contributed to the study. Neurovascular Research Group is part of the Spanish Neurovascular Disease Research Network (INVICTUS + , RD16/0019/0015).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflicts of interest
None.
Ethical standard
The study protocol and consent forms were approved by the Ethics Committee of Virgen del Rocío University Hospital (reference no. 2014PI/162-1), and all participants gave written informed consent.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Escudero-Martínez, I., Ocete, R.F., Mancha, F. et al. Prevalence and risk factors of silent brain infarcts in patients with AF detected by 3T-MRI. J Neurol 267, 2675–2682 (2020). https://doi.org/10.1007/s00415-020-09887-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00415-020-09887-0