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Left atrial appendage morphology and risk of stroke following pulmonary vein isolation for drug-refractory atrial fibrillation in low CHA2DS2Vasc risk patients

  • Faith R. Kelly1,
  • Robert A. Hull2,
  • Takor B. Arrey-Mbi2,
  • Michael U. Williams2,
  • Joshua S. Lee1,
  • Ahmad M. Slim1 and
  • Dustin M. Thomas1Email author
BMC Cardiovascular DisordersBMC series – open, inclusive and trusted201717:70

https://doi.org/10.1186/s12872-017-0504-7

Received: 26 December 2016

Accepted: 22 February 2017

Published: 28 February 2017

Abstract

Background

Cardiac CT angiography (CCTA) has become an important adjunct in the structural assessment of the pulmonary veins (PV) prior to pulmonary vein isolation (PVI). Published data is conflicting regarding a relationship between left atrial appendage (LAA) and the risk of ischemic stroke (CVA) following PVI. We investigated the associations of volumetric and morphologic left atrial (LA) and LAA measurements for CVA following PVI.

Methods

We retrospectively reviewed 332 consecutive patients with drug refractory atrial fibrillation who obtained cardiac CT angiogram (CCTA) prior to PVI. Baseline demographic data, procedural and lab details, and outcomes were obtained from abstraction of an electronic medical records system. LA, LAA, and PV volumes were measured using CCTA datasets utilizing a semi-automated 3D workstation application. LAA morphology was assigned utilizing volume rendered images as previously described.

Results

The study cohort was 55 ± 13 years-old, 83.7% male, low CVA risk (median CHA2DS2Vasc 1; IQR 1, 3), and 30.4% were treated with novel oral anticoagulants. Chicken wing (CW) was the most common morphology (52%), followed by windsock (WS), cauliflower (CF), and cactus (CS) at 18, 9, and 2%, respectively. CVAs occurred in 4 patients following PVI with median time to CVA of 170.5 days. All CVAs were observed in CW morphology patients. When comparing CW morphology with non-CW morphology, CVAs occurred more frequently with the CW morphology (2.1% vs 0%, p = 0.03). This difference was not significant, though, after adjusting for CHA2DS2Vasc risk factors (p = 0.14).

Conclusion

The CW morphology was observed more commonly in patients who experienced post-PVI CVA. After adjusting for CHA2DS2Vasc risk factors, CW morphology was not an independent predictor of post-PVI CVA. These findings should be interpreted in the setting of a low CVA event rate amongst a low risk population that was highly compliant with indicated anticoagulation therapy.

Keywords

Left atrial appendage Stroke CVA Pulmonary vein isolation PVI Atrial fibrillation CHA2DS2Vasc Cardiac CT Angiography CCT

Background

Atrial fibrillation (AF) is an increasingly prevalent disease with significant associated morbidity and mortality, principally due to cerebral vascular accident (CVA) and from symptomatic arrhythmia [1]. Pulmonary vein isolation (PVI) continues to emerge as an effective treatment for symptomatic AF [2, 3]. Cardiac CT angiography (CCTA) has become an important adjunct in the structural assessment of the pulmonary veins prior to PVI [46]. Additionally, the left atrial appendage (LAA), a common nidus of thrombus formation in AF patients, is well visualized and can be evaluated for the presence of thrombus in appropriately protocoled studies [79]. Published data suggests an association between LAA morphology, as determined by CCTA, and risk for CVA in patients referred for PVI [10]. In the largest of these studies, the chicken wing (CW) morphology was 66% less likely to be present in patients with a history of CVA, whereas the cactus morphology was the highest risk LAA morphology [10]. The data on LAA morphology and predicting CVA following PVI is less robust. We sought to determine CCTA-derived factors associated with CVA in patients who underwent PVI for drug-refractory AF in a single-center military hospital.

Methods

Population

We identified 407 patients with drug-refractory atrial fibrillation who underwent PVI between January 2008 and December 2014 at large military treatment facility. Baseline demographic data, procedural and lab details, and outcomes were obtained from manual chart abstraction of the electronic medical records (EMR). Patients with incomplete or unavailable imaging data were excluded from analysis (Fig. 1). Hypertension was defined as previous diagnosis, currently taking any anti-hypertensive medications, or a recorded systolic blood pressure > 140 mm Hg on 2 separate encounters. Congestive heart failure was defined as a previous diagnosis based on review of past medical history. Diabetes mellitus was defined as a previous diagnosis based on EMR review, currently taking any anti-hyperglycemic medications, or a most recent hemoglobin A1c value ≥ 6.5%. Vascular disease was defined as any previous history of myocardial infarction, coronary revascularization (percutaneous coronary intervention or coronary artery bypass grafting), or peripheral arterial disease. CVA was identified by EMR review and adjudicated utilizing the inpatient EMR or assessment by an outpatient neurologist evaluation. These risk factors, in addition to age and gender, were used to calculate a CHA2DS2Vasc score [11]. Post-PVI anticoagulation was recorded as the oral systemic agent on which the patient was discharged following PVI. Choice of oral systemic agent was at the discretion of the electrophysiologist performing the PVI. Post-PVI CVA events were identified utilizing the same criteria as outlined above. Patients with TIA by ICD-9 code listed following PVI were reviewed, but these instances were excluded unless deemed by the investigators to represent an embolic event. The vast majority of patients underwent pre-procedural transesophageal echocardiograph (89.5%) with finding of possible thrombus in one patient. CCTA in this patient performed with early and delayed phases was able to exclude thrombus. As the vast majority of pre-procedural CCTAs were obtained with only a single, early phase, all patients with LAA filling defects by CCTA were excluded from this analysis.
Fig. 1

Flow chart depicting patient screening and reasons for exclusion from final analysis

Pulmonary Vein Isolation (PVI)

All PVIs were performed utilizing bilateral femoral venous access. For patients on warfarin therapy, this was continued without bridging anticoagulation in the peri-procedural period. In patients on NOACs leading up to PVI, these medications were held for 24 h prior to the procedure. Regardless of pre-procedural systemic anticoagulation agent, intravenous heparin was administered with a goal ACT of ≥350 s. ACT readings were reassessed at 30 min intervals and additional heparin boluses were administered as needed while catheters were in the left atrium. The esophagus was marked with a temperature probe and intracardiac echocardiography (ICE) was utilized for transseptal puncture. Transseptal puncture was performed using Brockenbrough needle under fluoroscopic and ICE guidance. Left atrial access was confirmed utilizing pressure transduction and saline administration. A multipolar mapping catheter was placed into the left atrium at operator discretion. Electroanatomic 3-D mapping of the left atrium was performed. Using contact force mapping, lesions were placed in a circumferential manner around the pulmonary veins. All ablation lesions were performed utilizing an open-irrigated catheter ablation system. The possibility of esophageal injury was minimized by performing ablation at < 30 watts along the posterior wall and terminating ablation with detected temperature rise in the esophageal probe. All other ablation lesions were performed utilizing 30–40 watts. Pacing at the right superior pulmonary vein was performed to confirm the absence of diaphragm stimulation prior to ablation at operator’s discretion. A multi-polar mapping catheter was then used to assess for any gaps. Immediate post-ablation isolation of the pulmonary veins was confirmed by LA and PV pacing to ensure bidirectional block. Non-PV triggers were induced utilizing isoproterenol and additional radiofrequency ablations administered as indicated. The ablation catheter was withdrawn to the right atrium. Screening for pericardial effusion was performed at the end of the case and pulmonary vein stenosis excluded using ICE. All catheters were then removed and, after reversal of anticoagulation with protamine, all sheaths were removed. All patients, regardless of CHA2DS2Vasc score, received 4 weeks of systemic anticoagulation (warfarin or a NOAC) following PVI. Choice of anticoagulant was at the discretion of the electrophysiologist performing the PVI.

Cardiac computed tomography

From January of 2008 to March of 2011, images were obtained using a retrospective ECG-gated acquisition with a 64-slice CT scanner (Somatom Definition CT, Siemens, Erlangen, Germany) reconstructed at 0.7 mm slices centered on the 70% R-R interval. From March of 2011 to March of 2012, CCTA was performed utilizing a prospective ECG-triggered acquisition centered on the 60 ± 20% R-R interval. After March of 2012, a 128-slice dual-source scanner (Somatom Definition Flash CT, Siemens, Erlangen, Germany) utilizing prospective, ECG-triggered acquisition centered on the 60 ± 20% R-R interval was used. CCTA images were evaluated on a 3-dimension workstation (Vital Images, Inc., Minnetonka, MN). Left atrial (LA) and LAA parameters were obtained using electrophysiology planning software package. Manual segmentation of the LA and LAA was performed by delineating the borders utilizing axial reconstructions. LAA volumes were included in the LA volumes, however PV volumes were excluded. The LAA os was pre-determined to be the proximal border of the LAA and all visualized lobes were included in the volumes. LAA morphology (Fig. 2) was assigned by a single investigator (FK) based on review of volume rendered reconstructions and reported as chicken wing (CW), cauliflower (CF), cactus (CS), and windsock (WS) as previously described [10]. The CW was defined as a LAA morphology with a discrete bend in the proximal to mid-portion of the dominant lobe, folding back upon itself at some distance from the LAA ostium10. This morphology could also contain secondary lobes or twigs. The CF morphology was considered when LAA had a limited overall length and more complex internal characteristics. It was distinguished from other morphologies by variations in the ostium shape (oval vs round) and a variable number of lobes without an identifiable dominant lobe [10]. The CS morphology was classified as a dominant central lobe and secondary lobes that extend in both a superior and inferior direction [10]. Finally, the WS morphology was defined as a dominant lobe of sufficient length as the primary structure. Variations on this description to include different locations and numbers of smaller, secondary or even tertiary lobes were included in this morphologic group [10].
Fig. 2

Volume rendered cardiac CT angiography images demonstrating chicken wing (a), cauliflower (b), cactus (c), and windsock (d) morphologies

Statistical analysis

Statistical analysis was performed using IBM SPSS version 19.0 (IBM, Armonk, NY). Parametrically distributed continuous variables are reported as means with standard deviation and nonparametric data are reported as medians with interquartile range. Comparison between continuous variables was performed utilizing a Chi squared test or a Wilcoxon Rank sum test, as appropriate. Cutoff values with sensitivity and specificity were performed using a receiver operator characteristics (ROC) curve. Multivariate logistic regression was performed to assess for independent CVA predictors. A Bonferroni correction was applied when appropriate. A cutoff of p < 0.05 was used to represent statistical significance. This research was carried out with the approval of our local institutional review board (IRB).

Results

The patient population of 332 individuals (mean age 55 ± 13 years, 83.7% male) were followed for median of 72 months. Table 1 summarizes baseline demographic data in patients with CW compared with non-CW LAA morphology. No difference was observed in CHA2DS2Vasc scores between CW (median = 1 [IQR 1, 2]) and non-CW (median = 2 [IQR 1, 4]) patients (p = 0.702). Anticoagulation for CVA prophylaxis was achieved with a novel oral anticoagulant in 30.4% of patients and warfarin (pre-procedural INR 2.2 ± 0.5) in 69.6% (p < 0.001). There was no difference observed between median proximate INR in warfarin-treated patients (p = 0.432) and presenting rhythms (sinus rhythm, atrial arrhythmia, or paced) prior to PVI were similar between CW and non-CW patients.
Table 1

Baseline demographic data in chicken wing (CW) morphology patients compared with non-CW patients. All continuous variables are displayed as mean values ± standard deviation unless otherwise annotated

 

Total

CW

Non-CW

p-value

(n = 332)

(n = 190)

(n = 142)

Age

55 ± 13

54 ± 13

56 ± 13

0.263

Age ≥ 75 years

13 (15.2%)

5 (12.5%)

8 (5.6%)

0.490

Male gender

278 (83.7%)

160 (84.2%)

118 (83.1%)

0.785

HTN

200 (60.2%)

115 (60.5%)

85 (59.9%)

0.902

CHF

22 (6.6%)

14 (7.4%)

8 (5.6%)

0.518

DM2

48 (14.5%)

26 (13.7%)

22 (15.5%)

0.644

Vascular disease

140 (42.2%)

79 (41.6%)

61 (43.0%)

0.801

CHA2DS2Vasc > 1

162 (48.8%)

86 (45.3%)

76 (53.5%)

0.136

CHA2DS2Vasc, median (IQR)

1 (1, 3)

1 (1, 2)

2 (1, 4)

0.702

Prior CVA/TIA

16 (4.8%)

9 (4.7%)

7 (4.9%)

0.935

Post-PVI CVA

4 (1.2%)

4 (2.1%)

0 (0.0%)

0.034

Anticoagulation

 Warfarin

201 (69.6%)

123 (73.7%)

78 (63.9%)

0.055

 NOAC

88 (30.4%)

44 (26.3%)

44 (36.1%)

0.055

 Aspirin

43 (13.0%)

23 (12.1%)

20 (14.1%)

0.589

Pre-procedure INRa

2.2 ± 0.5

2.2 ± 0.5

2.2 ± 0.5

0.432

Rhythm prior to PVI

 Sinus rhythm

161 (48.8%)

88 (46.8%)

73 (51.4%)

0.407

 Atrial Arrhythmia

166 (50.3%)

97 (51.6%)

69 (48.6%)

0.589

 Paced

3 (0.9%)

3 (1.6%)

0 (0%)

0.131

Follow-up, mo., median (IQR)

72 (49, 97)

73 (49, 107)

69 (50, 92)

0.344

CW chicken wing, HTN hypertension, CHF congestive heart failure, DM2 diabetes mellitus, type 2, CVA cerebral vascular accident/stroke, TIA transient ischemic attack, PVI pulmonary vein isolation, NOAC novel oral anticoagulant, INR international normalized ratio

aOnly includes patients treated with warfarin at the time of pulmonary vein isolation (PVI)

The overall prevalence of post-PVl CVA was 1.2% (n = 4) with median time to CVA of 170.5 days. In patients with post-PVI CVA, the CHA2DS2Vasc score was zero in one patient, 1 in two patients, and 2 in the fourth patient. Three patients were taking warfarin (one with a sub-therapeutic INR at the time of CVA) and one patient was treated with dabigatran. Post-PVI CVA was observed more frequently in patients with CW morphology compared to non-CW morphologies (2.1% vs 0%, p = 0.03). After adjusting for known CVA risk factors, this difference no longer met threshold for statistical significance (p = 0.14). There was no difference between the groups with respect to the prevalence of pre-PVI CVA (4.7% vs 4.9%, p = 0.935). CHA2DS2Vasc score was predictive of pre-PVI CVA events (AUC 0.799, p < 0.001), but was not discriminatory with respect to predicting post-PVI CVA over 72 months of follow-up (AUC 0.309, p = 0.188).

Measured LAA volumes, LA volumes, and average Hounsfield unit (HU) attenuation values in CW and non-CW morphologies are listed in Table 2. No difference was observed between the absolute volume measures between the groups, nor between volume and HU attenuation ratios between the two groups. When comparing patients with post-PVI CVAs to the rest of the population (Table 3), there was also no difference between LAA HU attenuation or the ratio of LAA:LA HU attenuation as can be seen in the setting of spontaneous echocontrast or thrombus.
Table 2

Volumetric and CT attenuation data in chicken wing (CW) morphology patients compared with non-CW patients

CT Characteristics

Total

CW

Non-CW

p-value

(n = 332)

(n = 190)

(n = 142)

LAA volume

13.8 ± 6.0

13.6 ± 5.6

14.1 ± 6.4

0.402

LA volume

99.5 ± 33.6

99.8 ± 34.5

99.2 ± 32.6

0.871

LAA/LA volume

0.145 ± 0.06

0.143 ± 0.05

0.148 ± 0.06

0.454

LAA HU

342.2 ± 77.9

340.2 ± 82.6

344.8 ± 71.5

0.599

LA HU

358.5 ± 96.8

363.6 ± 97.2

351.6 ± 96.2

0.265

LAA/LA HU

1.00 ± 0.36

0.97 ± 0.26

1.04 ± 0.47

0.065

LAA left atrial appendage, LA left atrium

All continuous variables are displayed as mean values ± standard deviation. All volumes are displayed in milliliters (mL) and all CT attenuation numbers are displayed in Hounsfield units (HU)

Table 3

Volumetric and CT attenuation data in patients with CVA following PVI compared with patients without an observed event

CT Characteristics

Post-PVI CVA

No CVA after PVI

p-value

(n = 4)

(n = 328)

Age

58 ± 11

55 ± 13

0.655

Age ≥ 75 years

0 (0%)

13 (4.0%)

0.682

Male gender

4 (100%)

274 (83.5%)

0.373

HTN

2 (50%)

198 (60.4%)

0.674

CHF

0 (0%)

22 (6.7%)

0.589

DM2

0 (0%)

48 (14.6%)

0.407

Vascular disease

1 (25%)

139 (42.4%)

0.484

Prior CVA/TIA

1 (25%)

15 (4.6%)

0.059

CHA2DS2Vasc > 1

1 (25%)

162 (49.4%)

0.332

CHA2DS2Vasc, median (IQR)

1 (0, 2.5)

1 (1, 3)

0.543

Anticoagulation

 Warfarin

3 (75%)

198 (60.4%)

0.555

 NOAC

1 (25%)

87 (26.5%)

0.952

 Aspirin

0 (0%)

43 (13.1%)

0.435

 Pre-procedure INR*

2.1 ± 0.3

2.2 ± 0.5

0.792

Rhythm prior to PVI

 Sinus rhythm

1 (25%)

162 (49.4%)

0.332

 Atrial Arrhythmia

2 (50%)

164 (50%)

1.000

 Paced

1 (25%)

2 (0.6%)

<0.001

 LAA volume

13.9 ± 5.3

13.8 ± 6.0

0.989

 LA volume

102.6 ± 18.3

99.5 ± 33.8

0.852

 LAA/LA volume

0.13 ± 0.04

0.15 ± 0.06

0.655

 LAA HU

372.4 ± 92.6

341.9 ± 77.8

0.438

 LA HU

410.6 ± 78.8

357.8 ± 97.0

0.279

 LAA/LA HU

0.90 ± 0.08

1.00 ± 0.36

0.594

LAA left atrial appendage, LA left atrium, CVA cerebral vascular accident/stroke, PVI pulmonary vein isolation

All continuous variables are displayed as mean values ± standard deviation. All volumes are displayed in milliliters (mL) and all CT attenuation numbers are displayed in Hounsfield units (HU)

*INR only includes patients treated with coumadin prior to PVI

The prevalence of CW, WS, CF and CS morphologies were 57.2, 25, 13.2 and 4.5%, respectively amongst post-PVI patients in this population (Table 4). LAA volumes in patients with CS morphology (9.5 ± 3.4 mL) differed significantly from CW (13.6 ± 5.6 mL), WS (14.7 ± 6.4 mL), and CF (14.7 ± 6.6 mL) morphologies (p = 0.011). Other volumetric data did not differ between the groups. Additionally, CVA risk factors and CHA2DS2Vasc scores > 1 were similar amongst the four LAA morphologies. Of note, in this population with a low pre-PVI prevalence of prior CVA, CW morphology was not associated with lower observed rates of prior CVA.
Table 4

Baseline demographic data, volumetric and CT attenuation data, and outcomes amongst all 4 LAA morphologies

 

Chicken Wing

Cactus

Windsock

Cauliflower

p-value

(n = 190)

(n = 15)

(n = 83)

(n = 44)

LAA volume

13.6 ± 5.6

9.5 ± 3.4

14.7 ± 6.4

14.7 ± 6.6

0.011

LA volume

99.8 ± 34.5

101.8 ± 47.8

98.4 ± 29.3

99.7 ± 33.2

0.982

Total volume

145.2 ± 41.7

144.7 ± 53.2

145.5 ± 38.4

146.8 ± 40.5

0.996

Age

54 ± 13

54 ± 9

56 ± 12

56 ± 16

0.682

Age ≥ 75 years

5 (2.6%)

0 (0%)

5 (6%)

3 (6.8%)

0.65

Male gender

147 (77.4%)

13 (86.7%)

77 (92.8%)

41 (93.2%)

0.954

HTN

115 (60.5%)

10 (66.7%)

53 (63.9%)

22 (50%)

0.45

CHF

14 (7.4%)

0 (0%)

4 (4.8%)

4 (9.1%)

0.549

DM2

26 (13.7%)

1 (6.7%)

16 (19.3%)

5 (11.4%)

0.436

Vascular disease

79 (41.6%)

6 (40%)

35 (42.2%)

20 (45.5%)

0.969

CHA2DS2Vasc > 1

86 (45.3%)

6 (40%)

48 (57.8%)

22 (50%)

0.246

Prior CVA/TIA

9 (4.7%)

0 (0%)

3 (3.6%)

4 (9.1%)

0.428

Post-PVI CVA

4 (2.1%)

0 (0%)

0 (0%)

0 (0%)

0.388

LAA left atrial appendage, LA left atrium, HTN hypertension, CHF congestive heart failure, DM2 diabetes mellitus, type 2, CVA cerebral vascular accident/stroke, TIA transient ischemic attack, PVI pulmonary vein isolation

All volumes are displayed in milliliters (mL) and all CT attenuation numbers are displayed in Hounsfield units (HU)

Discussion

We observed an increased incidence of post-PVI CVA in patients with CW morphology on CCTA, however CW morphology was not found to be an independent risk factor for post-PVI CVA after adjusting for known CVA risk factors. Additionally, we did not find any other volumetric or CT attenuation features of the LAA or LA on pre-PVI CCTA that predicted post-PVI CVA. The overall incidence of post-PVI CVA was low in our population (1.2%), as was the prevalence of patients with prior history of CVA prior to PVI (4.7%). These data report on the largest cohort of post-PVI patients to date on NOACs (30.4%) in the lowest estimated CVA risk based on median CHA2DS2Vasc score.

The applications of CCTA, particularly as an adjunctive modality in various EP procedures, have increased greatly over the past decade. CCTA provides high-resolution, 3-dimensional datasets that can be integrated into electroanatomic mapping systems utilized during PVI 5. CCTA is also a complimentary modality in the evaluation of LAA thrombus and has excellent sensitivity and negative predictive power for excluding thrombus in appropriately protocoled acquisitions [79]. Finally, CCTA may serve an important role in the evaluation of the LAA in patients referred for percutaneous LAA closure [1214]. Prior to the widespread availability and use of CCTA in the EP realm, the LAA was described as a hooked tubular structure with a variable number of lobes. Distinct morphologic features of LAA were first described in a population of patients undergoing PVI in which LAA morphology was evaluated as a risk factor for a prior history of CVA [10]. The morphologies described were cactus (CS), cauliflower (CF), chicken wing (CW) and windsock (WS) [10]. In this initial analysis, patients with CW morphology were nearly 80% less likely to report a prior CVA (OR 0.21, 95% CI 0.05-0.91, p = 0.036). When compared to CW morphology, there was an observed 8-fold increased risk of CVA in patients with a CF morphology (p = 0.056). Subsequent studies made similar observations regarding the CW morphology as potentially protective with respect to CVA risk while more complex morphologies (i.e. CS) portended increased CVA risk [1517]. These findings were codified with the publication of a meta-analysis, which included over 2,500 patients from eight studies [18]. Of note, 84% of patients included in this analysis were at low overall CVA risk as defined by a CHADS2 score < 2. CVA risk was lowest amongst patients with CW morphology when compared to non-CW patients (OR 0.46, 95% CI 0.36–0.58, p < 0.001) [18]. Our data demonstrated similar results with the majority of prior CVA/TIA events being identified in patients with a CF morphology. The low total incidence of historical CVA/TIA in our patient population likely explains why this difference did not reach statistical significance.

Data evaluating the impact of LAA morphology on post-PVI CVA is less robust. A single-center analysis of 2,570 consecutive patients undergoing PVI reported on 17 thromboembolic events (TE) within 30 days of PVI and compared these patients to 68 propensity-matched patients without peri-procedural TEs in a 1:4 ratio [19]. These authors observed a higher incidence of the CW morphology amongst patients with TEs compared with the matched control patients (65% vs 21%). Of note, the median CHA2DS2Vasc score was 3 in both groups, the median INR at the time of procedure was <2.0 in both groups, and there was a numerically higher rate of peri-procedural bridging with heparin in the TE group (82% vs 69%, p = 0.278) [19]. In contrast, data on 2,069 patients enrolled in a German AF ablation registry found no difference in TE risk between the different LAA morphology groups [20]. TEs were observed in 15 patients (0.7% of the total population) during a 3.078 year follow-up period [20]. The patient population in this analysis was very similar in that the median CHA2DS2Vasc score was 3 and the vast majority of patients were treated with warfarin. While INR values were not reported in the event-free patients, mean discharge INR in the TE group was 1.5 ± 0.5 and 2.37 ± 0.75 at the time of event. Of note, very small proportions (5%) of patients in this analysis were treated with NOACs for TE prevention.

Our findings of a higher observed rate of CVA amongst patients with CW morphology compared with non-CW morphology is generally in agreement with previously published studies. While we did not find CW morphology to be an independent risk factor, we believe our analysis provides incremental data on the role LAA anatomy may play on CVA/TE risk following PVI for several reasons. The observed incidence of CVA in our population was numerically higher (1.2%) but on par with previous data in the setting of lower median CHA2DS2Vasc scores. Additionally, NOACs were utilized in 30.4% of patients in the peri-PVI period. Thus, these data may be important as these agents continue to be used more frequently by electrophysiologists around the time of PVI. Finally, given this analysis was performed in a single-payer managed healthcare system where patients have ready access to warfarin or NOACs at no direct cost, compliance with anticoagulation therapy may be higher. Thus, despite low estimated CVA risk and readily available access to anticoagulant medications, there was a numerically higher incidence of CVA in this population suggesting that additional factors beyond the traditional CHA2DS2Vasc factors and adequate anticoagulation may be important in identifying at-risk patients. Further studies utilizing a multi-modality imaging approach to TE/CVA risk assessment following PVI may be warranted in order to determine whether morphology, when added to other proposed risk factors such as LAA orifice size, degree of LAA trabeculations, LA ejection fraction (EF), LAA peak velocity, and LAA EF, may identify high post-PVI risk patients with low CHA2DS2Vasc scores [17, 21, 22].

Limitation

This analysis is limited by its retrospective design and the fact that the patient population is derived from a single-center, tertiary care facility. Overall event rates for post-PVI CVA and prior CVA were low, likely reflecting the relatively low CVA risk of the population based on CHA2DS2Vasc score, high compliance, and easy access to appropriate anticoagulant therapies. We were unable to determine post-PVI recurrence rates of atrial dysrhythmia, which represents an additional risk factor to CVA in this population. Procedural duration, as a surrogate for the extent of ablation, was not routinely reported in the EMR, thus any association between post-procedural outcomes and the extent of ablation could not be investigated. Additionally, we did not perform an analysis of intra- and inter-observer variability, thus it is possible that LAA morphologies were incorrectly allocated. Previously published data has reported very good agreement in distinguishing CW from non-CW morphology by experienced readers in high-volume centers by CCT (kappa = 0.96, p < 0.001) [10]. Applicability of these findings to a general population and comparison to prior studies in this field is limited given the predominately male cohort, younger median age, and the variable post-PVI anticoagulants utilized.

Conclusions

The CW morphology was observed more commonly in patients who experienced post-PVI CVA. After adjusting for CVA risk factors, CW morphology was not an independent predictor of post-PVI CVA. These findings should be interpreted in the setting of a low CVA event rate amongst a low risk population that was highly compliant with indicated anticoagulation therapy.

Abbreviations

ACT: 

Activated clotting time

AF: 

Atrial fibrillation

CCTA: 

Cardiac computed tomography angiography

CF: 

Cauliflower

CI: 

Confidence intervals

CS: 

Cactus

CVA: 

Cerebrovascular accident

CW: 

Chicken wing

EF: 

Ejection fraction

EMR: 

Electronic medical record

EP: 

Electrophysiology

HU: 

Hounsfield units

ICE: 

Intracardiac echocardiography

INR: 

International normalized ratio

IRB: 

Institutional review board

LA: 

Left atrium

LAA: 

Left atrial appendage

NOAC: 

Novel oral anticoagulant

OR: 

Odds ratio

PV: 

Pulmonary vein

PVI: 

Pulmonary vein isolation

ROC: 

Receiver operator characteristics

TE: 

Thromboembolic

WS: 

Windsock

Declarations

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Availability of data and materials

This research was performed utilizing existing data from multiple EMRs within Brooke Army Medical Center and the Department of Defense. The data used in the generation of this manuscript is de-identified and retained by the corresponding author. For information regarding sharing of this data, please contact the corresponding author: Dustin M Thomas at dustin.m.thomas4.mil@mail.mil.

Authors’ contributions

All named authors were involved in this project. DMT and AMS conceived and designed the study, provided methodological advice, participated in data interpretation and provided guidance and revisions for final draft of the manuscript. FRK assisted with study design and data analysis, performed literature study and wrote the first several drafts of the manuscript. RAH, TBA, MUW, and JSL performed data abstraction, analyses, and critically reviewed draft and final versions of the manuscript. All authors have read and approved the final draft of this manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The institutional review board (IRB) of Brooke Army Medical Center in San Antonio, TX approved this study with a waiver of informed consent.

The view(s) expressed herein are those of the author(s) and do not reflect the official policy or position of Brooke Army Medical Center, the U.S. Army Medical Department, the U.S. Army Office of the Surgeon General, the Department of the Army and Department of Defense or the U.S. Government.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Cardiology Department, Brooke Army Medical Center
(2)
Department of Medicine, Brooke Army Medical Center

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Copyright

© The Author(s). 2017