ARTYKUŁ ORYGINALNY / ORYGINAL ARTICLE |
AssesSment of the left atrial appendage morphoLogy in patients aAfter ischaeMic Stroke — the ASSAM study protocol
Jakub Baran1, Ilona Michałowska2, Ilona Kowalik3, Piotr Kułakowski1
1Division of Clinical Electrophysiology, Department of Cardiology, Grochowski Hospital, Postgraduate Medical School, Warsaw, Poland
2Department of Radiology, Institute of Cardiology, Warsaw, Poland
32nd Department of Coronary Artery Disease, Institute of Cardiology, Warsaw, Poland
Address for correspondence:
Jakub Baran, MD, Division of Clinical Electrophysiology, Department of Cardiology, Grochowski Hospital, Postgraduate Medical School, ul. Grenadierów 51/59, 04–073 Warszawa, Poland, e-mail: j.baran@sampi.pl
Received: 05.11.2016 Accepted: 30.03.2017 Available as AoP: 26.04.2017
Abstract Stroke remains the most dangerous and frightening complication of atrial fibrillation (AF). A causal relationship between ischaemic stroke and atrial arrhythmias such as AF or atrial flutter has been well established. Numerous factors predisposing to peripheral embolism in patients with AF have been well established and included in the CHA2DS2-VASc score. Although proper anticoagulation minimises the risk attributable to “known” risk factors, stroke may still occur. Thus, “unknown” risk factors may play an important role in stroke risk stratification in patients with AF. We assume that one of the important “unknown” risk factor is the left atrial appendage morphology. The ASSAM study is planned to include 100 patients after ischaemic stroke or transient ischaemic attack (TIA) and known status of anticoagulation at the time of stroke. The control group will consist of 100 patients scheduled for AF ablation without a history of stroke or TIA. Key words: left atrial appendage, stroke, atrial fibrillation Kardiol Pol 2017; 75, 8: 758–762 |
INTRODUCTION
Stroke remains the most dangerous and frightening complication of atrial fibrillation (AF) [1]. A causal relationship between ischaemic stroke and atrial arrhythmias such as AF or atrial flutter remains undoubtable [2, 3]. Numerous factors predisposing to peripheral embolism in patients with AF have been well defined, documented, and included in the CHA2DS2-VASc score [4]. Although proper anticoagulation minimises the risk attributable to “known” risk factors, stroke may still occur. Thus, “unknown” risk factors may play an important role in stroke risk stratification in patients with AF [5].
Virchow’s triad has been well recognised as the explanation of circumstances leading to peripheral artery thrombosis [6]. Left atrial (LA) thrombosis probably has a similar background with slightly different factors leading to its occurrence. In this setting, blood stasis is caused by AF due to lack of contractibility of LA, concomitant diseases facilitating thrombus formation, and specific anatomical area — LA appendage (LAA) predisposes to thrombosis (Fig. 1).
Figure 1. Modified Virchow’s triad, suggested cause of the left atrial appendage (LAA) thrombus formation
It has been shown recently that specific types of LAA anatomy may facilitate stroke occurrence whereas other types of LAA morphology may play a preventive role. However, data from these studies are conflicting and there are several limitations concerning the methodology of these studies. Korhonen et al. [7] found a significantly increased prevalence of ChickenWing morphology in patients with stroke compared to the matched controls. This was also previously suggested by Kimura et al. [8]. However, in the Di Biase et al. [9] study, non-ChickenWing morphology was the most prevalent LAA type in stroke patients, whereas Anselmino et al. [10] suggested an association between CauliFlower and WindSock morphologies and silent cerebral ischaemia. Differences in the results of these studies may be due to variable classification of LAA morphology used by the authors and also due to a lack of data on anticoagulation status at the time of stroke. There are studies describing LAA anatomy in a different manner; however, in the vast majority of them the analysis was based on anatomical specimens 1:1 [11, 12]. Herein, we would like to present the study protocol that investigates the role of LAA anatomy in thrombus formation in a well-defined population of patients with known anticoagulation regimen at the time of the event.
Hypothesis
The LAA morphology in patients with an elevated risk of peripheral thromboembolism defined as CHA2DS2-VASc score > 2 is one of the risk factors for ischaemic stroke.
METHODS
Objective and variables
To assess the risk of ischaemic stroke in different types of morphology of the LLA.
Demographic and clinical variables will be analysed (Table 1).
Table 1. Demographic and clinical data
Age |
Sex |
Date of stroke/TIA event |
CHA2DS2-VASc score: |
Heart failure history |
Hypertension |
Age > 75 years |
Diabetes mellitus |
Stroke/TIA history |
Vascular disease |
Age 65–74 years |
Female |
HAS-BLED score: |
Hypertension history |
Renal disease |
Liver disease |
Stroke history |
Prior major bleeding or predisposition to bleeding |
Labile INR |
Age > 65 years |
Medication usage predisposing to bleeding |
Alcohol or drug usage history |
Date of first AF episode |
Type of AF: |
Paroxysmal |
Persistent |
Persistent long standing |
Permanent |
NYHA class |
Weight [kg] |
Height [cm] |
Body mass index |
History of tobacco smoking |
Drugs before ischaemic episode |
Drugs after ischaemic event — during inclusion |
Laboratory tests when ischaemic event occurred |
Echo study data |
AF — atrial fibrillation; INR — international normalised ratio; NYHA — New York Heart Association; TIA — transient ischaemic attack |
Study population: inclusion/exclusion criteria
The study population will consist of 100 patients after ischaemic stroke or transient ischaemic attack (TIA) (study group) and 100 patients scheduled for AF ablation without a history of ischaemic stroke or TIA (control group). Study flow chart is presented in Figure 2.
Figure 2. Design of the study; CT — computed tomography
Inclusion criteria (study group) include: ischaemic stroke or TIA and history of AF/atrial flutter and known status of anticoagulation at the time of stroke (treatment dose, international normalised ratio level).
Exclusion criteria (any) include: haemorrhagic stroke, serious renal impairment with glomerular filtration rate < 30 mL/min, hyperthyroidism, allergy to the contrast agent, men- tal inability to sign the informed consent, receptive aphasia.
Assessment of LAA morphology
The assessment will be performed by one radiologist (IM) and one electrophysiologist (JB), who are experienced in interpreting computed tomography (CT) images. In the case of discordant opinions on LAA morphology, the decision regarding LAA morphology will be made by a senior investigator (PK). Investigators will assess CT images blindly without knowledge of patient allocation to the study subgroups. The analysis of anatomy and measurements of LA size will be performed on 1-mm slices using commercially available software (Leonardo, Siemens Medical Systems). The analysed anatomical parameters are listed in Table 2.
Table 2. Anatomic variation of left atrial appendage (LAA) morphology assessed by computed tomography
Morphology of LAA: |
Chicken wing |
Wind sock |
Cauliflower |
Cactus |
Length of LAA |
Volume of LAA |
Number of LAA sub lobes |
The angle of first bend |
The distance from the ostium to the first bend |
Area of LAA ostium |
Shape of LAA ostium |
Volume of left atrium |
Left atrial diameter (sagittal and coronal axis) |
The morphology of LAA will be divided into four types:
- — the chicken wing — LAA with only one lobe, its length exceeds 40 mm and its bend angle is less than 100 degrees;
- — the windsock — LAA with one dominant lobe (length > 40 mm) and several secondary, or even tertiary ones, its length exceeds 40 mm, and its bend angle exceeds 100 degrees;
- — the cauliflower — LAA with a variable number of lobes with lack of a dominant lobe, its total length is less than 40 mm;
- — the cactus — LAA with a dominant central lobe with several secondary ones, its total length less than 40 mm.
Assessment of the morphology of the LAA will be performed using volume rendered post-processing and multiplanar reconstruction techniques. The presence or absence of LAA thrombus will also be assessed by CT.
Imaging protocol
Computed tomography angiography will be performed with a dual-source CT scanner (Somatom Definition Flash; Siemens Medical Solutions, Erlangen, Germany) using prospective electrocardiogram (ECG) gating, with detector collimation of 128 × 0.6 mm, a gantry rotation time of 280 ms, tube voltage of 100–120 kV, and tube current of 280–380 mAs depending on the patient’s body mass. Highly iodinated contrast material (≥ 350 mg/mL) will be administered in the antecubital vein in the amount of 70–80 ml, using a power injector, at a flow rate of 5 mL/s, followed by a 30-mL saline chaser. Image acquisition will be initiated 5 s after reaching 100 HU threshold enhancement within the region of interest placed in the LA. Prospective ECG-gated examinations will be centred at the best diastole phase of the R-R interval. Patients will not receive beta-blockers for regulation of heart rate.
Statistical analysis
Descriptive, univariate and multivariate analyses will be performed. Data will be presented as frequencies and percentages for categorical variables and as means + standard deviations (normally distributed variables) or medians and inter-quartile ranges (25–75th) (skewed distribution) for continuous variables. The comparison between groups will be made using the χ2 test (or Fisher exact test where appropriate) for categorical variables and the independent t-test or Mann-Whitney rank test for continuous variables, as appropriate. Collinearity between variables will be assessed using Pearson or Spearman correlation coefficient, as appropriate. Multiple stepwise logistic regression analysis will be performed to test the impact of morphology of the LAA (potential predictors) on stroke and corrected for known confounders. The predictors of stroke identified in univariable analysis (p < 0.1) will be introduced as independent variables into multivariable models. In case of close (strong) correlation between independent variables, only the strongest univariate predictor will be entered into the selection procedure. Variables with skewed distribution will be transformed prior to analyses. Finally, receiver operating characteristic curves will be constructed and c-statistics (area under curve) will be determined to evaluate the value of specific findings to predict stroke. A two-sided p-value < 0.05 will be considered statistically significant. All analyses will be conducted using SAS 9.2 (SAS Institute, Cary, NC, USA) software.
The sample size was calculated based on the assumption that the risk of stroke/TIA differs between various LAA morphologies from 4% to 18% [9]. At the alfa level of 0.05 and beta level of 0.9, the required number of patients in each group is 100. Thus, the minimal total number of patients is 200.
DISCUSSION
The present study will bring new important data on the relationship between LAA morphology and the risk of stroke or TIA in patients with AF. If the results of the study are positive — a specific type of LAA morphology will be identified as a risk factor for stroke/TIA, which should have an impact on clinical practice and establish the role of CT in identification of patients who are at risk of LAA thrombosis and subsequent stroke/TIA. It may be speculated that the assessment of LAA morphology might play a role in the primary and secondary prevention of stroke/TIA in the future.
Limitations of the study
Firstly, there are known limitations of CT in the assessment of LAA structure, and the analysis performed by an investigator, even a very experienced one, is always subjective. To minimise these limitations, we will use a high-quality, modern CT machine and software, rigorously stick to definitions describing different LAA anatomies, and rely on experienced expert opinion. Secondly, although the study will prospectively recruit patients with a history of ischaemic stroke, data concerning their medication at the time of stroke will be derived from the patient’s files, which may influence the accuracy. Thirdly, although in patients with AF the majority of ischaemic strokes are due to thrombus migration from LAA to the central nervous system, other causes of stroke could not be excluded.
Conflict of interest: none declared
References
- 1. Ankolekar S, Renton C, Sare G, et al. Relationship between poststroke cognition, baseline factors, and functional outcome: data from “efficacy of nitric oxide in stroke” trial. J Stroke Cerebrovasc Dis. 2014; 23(7): 1821–1829, doi: 10.1016/j.jstrokecerebrovasdis.2014.04.022, indexed in Pubmed:24957311.
- 2. Wetmore JB, Ellerbeck EF, Mahnken JD, et al. Atrial fibrillation and risk of stroke in dialysis patients. Ann Epidemiol. 2013; 23(3): 112–118, doi:10.1016/j.annepidem.2012.12.011, indexed in Pubmed: 23332588.
- 3. Kannel WB, Wolf PA, Benjamin EJ, et al. Prevalence, incidence, prognosis, and predisposing conditions for atrial fibrillation: population-based estimates. Am J Cardiol. 1998; 82(8A): 2N–9N, indexed in Pubmed: 9809895.
- 4. Zhu WG, Xiong QM, Hong K. Meta-analysis of CHADS2 versus CHA2DS2-VASc for predicting stroke and thromboembolism in atrial fibrillation patients independent of anticoagulation. Tex Heart Inst J. 2015; 42(1): 6–15, doi: 10.14503/THIJ-14-4353, indexed in Pubmed: 25873792.
- 5. Szymanski FM, Lip GYH, Filipiak KJ, et al. Stroke risk factors beyond the cha2ds2-vasc score: can we improve our identification of “high stroke risk” patients with atrial fibrillation? Am J Cardiol. 2015; 116(11): 1781–1788, doi: 10.1016/j.amjcard.2015.08.049, indexed in Pubmed: 26434516.
- 6. Chung I, Lip G. Virchow’s triad revisited: blood constituents. Pathophysiol Haemost Thromb. 2005; 33(5-6): 449–454, doi: 10.1159/000083844.
- 7. Korhonen M, Muuronen A, Arponen O, et al. Left atrial appendage morphology in patients with suspected cardiogenic stroke without known atrial fibrillation. PLoS One. 2015; 10(3): e0118822, doi: 10.1371/journal.pone.0118822, indexed in Pubmed: 25751618.
- 8. Kimura T, Takatsuki S, Inagawa K, et al. Anatomical characteristics of the left atrial appendage in cardiogenic stroke with low CHADS2 scores. Heart Rhythm. 2013; 10(6): 921–925, doi: 10.1016/j.hrthm.2013.01.036, indexed in Pubmed: 23384894.
- 9. Di Biase L, Santangeli P, Anselmino M, et al. Does the left atrial appendage morphology correlate with the risk of stroke in patients with atrial fibrillation? Results from a multicenter study. J Am Coll Cardiol. 2012; 60(6): 531–538, doi: 10.1016/j.jacc.2012.04.032, indexed in Pubmed: 22858289.
- 10. Anselmino M, Scaglione M, Biase LDi, et al. Left atrial appendage morphology and silent cerebral ischemia in patients with atrial fibrillation. Heart Rhythm. 2014; 11(1): 2–7, doi: 10.1016/j.hrthm.2013.10.020.
- 11. Kamiński R, Kosiński A, Brala M, et al. Variability of the Left Atrial Appendage in Human Hearts. PLoS One. 2015; 10(11): e0141901, doi:10.1371/journal.pone.0141901, indexed in Pubmed: 26544191.
- 12. Ho SY, Anderson RH, Sánchez-Quintana D. Gross structure of the atriums: more than an anatomic curiosity? Pacing Clin Electrophysiol. 2002; 25(3): 342–350, indexed in Pubmed: 11990664.
Cite this article as: Baran J, Michałowska I, Kowalik I, Kułakowski P. AssesSment of the left atrial appendage morphoLogy in patients aAfter ischaeMic Stroke — the ASSAM study protocol. Kardiol Pol. 2017; 75(8): 758–762, doi: 10.5603/KP.a2017.0077. |