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Atrial fibrillation and its influence on stroke risk

Authors Prisco D, Cenci C, Silvestri E, Ciucciarelli L, Tomberli B, Tamburini C

Received 16 September 2014

Accepted for publication 20 November 2014

Published 9 February 2015 Volume 2015:6 Pages 11—15

DOI https://doi.org/10.2147/RRCC.S54209

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Richard Kones



Domenico Prisco,1,2 Caterina Cenci,1 Elena Silvestri,1,2 Lucia Ciucciarelli,1,2 Benedetta Tomberli,2 Carlo Tamburini2

1Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; 2Patologia Medica Unit, Careggi University Hospital, Florence, Italy

Abstract: Atrial fibrillation (AF) is the most common cardiac arrhythmia in the clinical setting. AF increases both the risk and severity of stroke, and is associated with substantial morbidity and mortality. Decisions regarding appropriate stroke prevention in AF patients are crucial and require individual assessment of both thromboembolic and bleeding risk. This review will provide an overview of recommended risk assessment tools and discuss other possible risk factors which could improve risk stratification in AF patients.

Keywords: atrial fibrillation, stroke, thromboembolism, risk stratification


Introduction

Atrial fibrillation (AF) represents a major independent risk factor for stroke, causing a three to five fold increased risk.1 Strokes associated with AF are known to be more severe, resulting in greater mortality and morbidity, more disability, longer in-patient stay, and lower rates of discharge to the patient’s own home.2 It becomes clear how the earliest detection of AF is crucial in patients presenting with ischemic stroke, and, on the other hand, an accurate evaluation of both thromboembolic and bleeding risk is mandatory in AF patients, in order to maximize the benefits of an appropriate antithrombotic therapy and minimize adverse events.

Current guidelines have proposed validated risk stratification schemes and, more recently, many efforts have been made to identify new possible risk factors in order to improve the stratification of thromboembolic risk in AF patients.

Stroke and AF

Stroke represents the second leading cause of mortality worldwide, split almost evenly between ischemic and non-ischemic, and has a significant impact on the total health care burden.3 Its incidence and prevalence are estimated to significantly increase in the near future. This trend seems to be due to an increase in the prevalence of key risk factors for stroke such as advancing age, diabetes mellitus, hypertension, dyslipidemia, and other underlying cardiovascular conditions, in particular AF.46

AF is a supraventricular tachyarrhythmia characterized by uncoordinated electrical activation of the atria with consequent deterioration of their mechanical function.7 It affects over two million individuals in the USA and its prevalence is expected to rise substantially in the next few decades because of the ageing population, improved cardiovascular treatments, and lengthened survival time of individuals with heart disease.8,9 AF itself carries an increased risk of ischemic stroke resulting from embolization of thrombi that form within the left atrium (LA) of the heart through all the components of Virchow’s triad of thrombogenesis 1) “abnormal blood flow” (as evidenced by stasis in LA due to the absence of an effective contraction), “abnormal blood constituents” (related to the activation of clotting and platelets found in AF patients) and, finally, “vessel wall abnormalities” (because AF contributes to the structural damage of heart walls).

It has also been estimated that between 15% and 30% of all acute stroke patients have AF at the time of clinical presentation.10 Strokes associated with AF are typically more severe, resulting in greater mortality and morbidity, more disability, longer in-patient stay, and a lower rate of discharge to the patient’s own home.2 Worse outcomes were initially demonstrated in epidemiological studies in North American and European populations (in which mortality in patients with AF was at least 1.7 fold higher than in those without AF) and these findings have been replicated worldwide.11 Post-stroke mortality is also significantly increased in AF-related stroke patients compared to patients without AF.12 As a consequence, AF causes a significant rise in costs for the health systems, with the majority being due to direct hospital and medical costs.13

Common risk factors for stroke

The Stroke in Atrial Fibrillation Working Group published a systematic review that identified prior stroke/transient ischemic attack (TIA)/thromboembolism, increasing age, hypertension, and diabetes mellitus as the most consistent independent risk factors for stroke in patients with AF.14,15 Moreover, left-ventricular dysfunction, defined variously in terms of recent congestive heart failure, left-ventricular fractional shortening less than 25%, or an ejection fraction less than 50%, was widely demonstrated to be a significant risk factor for stroke as well as a history of stroke or TIA.16 Regarding sex, some studies1721 found being female to be a significant independent risk factor for stroke, while others2226 did not show this association. Of note, current European Society of Cardiology (ESC) guidelines27 recommend considering women with AF without any other risk factor for stroke as having a global risk score of 0, so they should not assume any antithrombotic therapy. However, recently, a study by Chao et al28 questioned this assumption: the authors enrolled 509 males (CHA2DS2-VASc score 0) and 320 females (CHA2DS2-VASc score 1) with AF, who were not receiving, according to guidelines, any antithrombotic therapy and matched control subjects without AF and any comorbidity from CHA2DS2-VASc (mean age 45 years). During the follow-up, 128 patients (1.4%) experienced ischemic stroke but, while the event rate did not differ between groups with and without AF for male patients (1.6% versus 1.6%; P=0.920), AF resulted in a significant risk factor for ischemic stroke among females (hazard ratio, 7.77), with event rates of 4.4% and 0.7% for female patients with and without AF (P<0.001).

Major risk factors that are associated with AF have been used to develop, over the years, risk prediction models for embolic stroke, in order to better stratify patients who might receive thromboprophylaxis.

Risk stratification models

Current ESC guidelines recommend stratifying AF patients according to the CHA2DS2-VASc score27 because it was demonstrated to perform better than the previous risk stratification schemes for the prediction of thromboembolism. Patients with one or more major risk factors (eg, previous stroke, TIA, or systemic embolism, age >75 years), or with two or more clinically relevant non-major risk factors (eg, heart failure or moderate to severe left ventricular (LV) systolic dysfunction, hypertension, diabetes mellitus, female sex, age 65–74 years, vascular disease) should be considered for oral anticoagulation such as vitamin K antagonist, or novel oral anticoagulants (NOACs); patients without risk factors (CHA2DS2-VASc score =0) can be managed with no antithrombotic therapy given the very low thromboembolic risk in such subjects and the anticoagulant drug potential for bleeding;27 patients with one clinically relevant non-major risk factor only (CHA2DS2-VASc score =1) could be managed preferably with oral anticoagulation, although this indication is controversial. In fact, the most recent guidelines by the American Heart Association29 that have accepted, for the first time, the use of CHA2DS2 score as in Europe, state that for patients with a CHA2DS2-VASc of 1, no antithrombotic therapy or treatment with an oral anticoagulant or aspirin may be considered. A recent analysis30 of AF patients from the AVERROES and ACTIVE31,32 trials who were treated with aspirin with or without clopidogrel showed that the risk of patients with CHA2DS2-VASc =1 treated only with aspirin was still low (1.1% per year), questioning the indication of ESC guidelines for this category of patients and supporting recent American Heart Association/American College of Cardiology guidelines.29 In addition, the annual stroke rate of 0.6% in patients with a CHA2DS2-VASc =1 seems too low to justify anticoagulation and it is important to note that patients with a CHADS2 =0 and CHA2DS2-VASc =1 have largely been excluded from the major trials of NOACs.33 Therefore, the choice of treatment for patients with CHA2DS2-VASc =1 is still a matter of debate and should be considered on an individual basis, balancing the individual risk factor for stroke presented by the patient and the concomitant risk of bleeding.

For this reason, the latest ESC guidelines recommend using the HAS-BLED score (Hypertension, Abnormal renal/liver function, Stroke, Bleeding history or predisposition, Labile international normalized ratio (INR), Elderly (>65), Drugs/alcohol concomitantly)27 for the bleeding risk stratification of AF patients, recommending caution and/or regular review of anticoagulant therapy in patients with a HAS-BLED score ≥3. The HAS-BLED score has been validated in multiple independent populations:34,35 in particular, in one analysis of AF patients receiving anticoagulants, the HAS-BLED score was a good predictor of major bleeding and a modest predictor of cardiovascular events and death.36

How to improve stroke risk stratification

It is well known that most of the “classic” risk factors for stroke, such as hypertension or increasing age, are also risk factors for bleeding, so the approach to AF patients is often difficult. In fact, despite the availability of predictive tools and treatment guidelines, anticoagulant therapies are under-prescribed: some registries have shown that the rate of oral anticoagulation prescribing in patients with AF with a moderate-to-high risk of stroke ranged from 41% to 65%.37,38 This under-treatment is essentially due to physicians’ fear of anticoagulation-related bleeding.39

Recently, many efforts are being made to identify other possible risk factors in order to improve the stratification of thromboembolic risk in AF patients.40 Given that inherited thrombophilia is a relevant risk factor for venous thromboembolism, Pengo et al41 evaluated factor V Leiden and G20210A factor II gene mutations in patients with AF complicated by systemic thromboembolism and in age- and sex-matched controls with uncomplicated AF in order to demonstrate whether these two genetic alterations could even play a role in the formation and embolization of atrial thrombi in AF patients. The authors found a significant association between the occurrence of a previous systemic embolism and the presence of the G20210A mutation in the factor II gene (P<0.05), independently of other clinical risk factors. Genetics could also influence the individual risk of developing AF and ischemic stroke as data from the literature have suggested.42 Coming back to thrombophilia, Poli et al demonstrated that, in addition to hypertension and a history of previous ischemic events, hyperhomocysteinemia represents an independent risk factor for ischemic complications during well-conducted oral anticoagulation therapy (odds ratio =13.1).43 Other authors have studied the role of inflammation in increasing thromboembolic risk in AF patients: serum levels of C-reactive protein (CRP) seem to correlate with the risk of thromboembolic stroke44 and the same association was found for interleukin-6.45 More recently, the diffusion of pacemakers, implantable cardioverter-defibrillators, and other implantable monitors have prompted the researchers to investigate whether daily AF burden has prognostic significance in terms of risk of thromboembolic events.41 In a study by Boriani et al46 patients with a dual-chamber pacemaker (Medtronic AT-500) and a history of AF were included and a day-by-day trend of AF burden (= time spent in AF during each day) was available for each patient during a 1 year follow-up. Patients were divided into three groups: i) maximum AF burden <5 minutes per day (AF-free); ii) maximum AF burden >5 minutes but <24 hours per day (AF-5 min); and iii) AF burden of 24 hours or longer (episodes >24 hours) (AF-24 h). Patients were also classified according to CHADS2 and CHA2DS2-VASc risk scores and the authors demonstrated that the sensitivity of this stratification scheme could be improved if associated with the estimate of AF burden.

In the wake of these findings, more recently, several studies about the association between echocardiographic parameters and stroke risk in AF patients have been published. In particular, the association between LA mechanics, measured by 3D wall-motion tracking technology, and the most common thromboembolic risk scores (CHADS2, CHA2DS2-VASc) has been assessed. LA longitudinal strain and emptying fraction assessed by 3D wall-motion tracking technology seems to correlate with both CHADS2 and CHA2DS2-VASc scores, in particular each 10% of variation in longitudinal strain corresponds to a 0.7 and 0.8 point change in those risk scores respectively.47 In addition, it has been demonstrated48 that LA enlargement, measured on transthoracic echocardiography, is related to an increased prevalence of markers of stroke, evaluated by transesophageal echocardiography such as LA appendage (LAA) thrombus, LAA low flow velocities, dense spontaneous echocardiographic contrast, and LA abnormality. LAA morphology, visualized by cardiac computed tomography, seems also to be associated with higher periprocedural thromboembolic risk in patients undergoing AF ablation.49

Finally, it was demonstrated that a close relationship among chronic kidney disease, stroke,50 and AF51 makes the management of patients with renal insufficiency very challenging. In fact, in order to refine stroke risk stratification in this category of frail patients, the renal (R)2CHADS2 score has been recently validated. This score attributes one point each for the presence of congestive heart failure, hypertension, age ≥75 years, and diabetes and two points for prior stroke or TIA, with an additional two points for creatinine clearance <60 mL/min (calculated with the Cockcroft-Gault formula) and has been shown to improve net stroke risk reclassification over the CHADS2 score (P=0.005) and over CHA2DS2VASc (P=0.023) in AF patients from the ROCKET-AF and ATRIA trials.52

Conclusion

The incidence and prevalence of AF and its most dangerous complication, stroke, are estimated to increase in the near future carrying, as a consequence, a rise in costs for health systems. Decisions regarding appropriate stroke prevention are crucial and require individual assessment of both stroke and bleeding risk.53 The use of risk scores such as CHA2DS2-VASc and HAS-BLED can help physicians in the selection of appropriate antithrombotic strategies, but sometimes it is not sufficient. Physicians should evaluate AF patients as a whole, maybe identifying other possible markers of stroke risk which, in addition to clinical data and classical risk factors, could improve the definition of those patients at truly low risk who should not be anticoagulated or those who could benefit from NOACs.

Disclosure

The authors have no conflicts of interest to disclose.


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