Literature DB >> 34426836

Characteristics of patients with atrial high rate episodes detected by implanted defibrillator and resynchronization devices.

Kazuo Miyazawa1, Daniele Pastori2,3, David T Martin4, Wassim K Choucair5, Jonathan L Halperin6, Gregory Y H Lip3,7.   

Abstract

AIMS: Atrial high rate episodes (AHREs) are associated with increased risks of thromboembolism and cardiovascular mortality. However, the clinical characteristics of patients developing AHRE of various durations are not well studied. METHODS AND
RESULTS: This was an ancillary analysis of the multicentre, randomized IMPACT trial. In the present analysis, we classified patients according to the duration of AHRE ≤6 min, >6 min to ≤6 h, >6 to ≤24 h and >24 h, and investigated the association between clinical factors and the development of each duration of AHRE. Of 2718 patients included in the trial, 945 (34.8%) developed AHRE. The incidence rates of each AHRE duration category were 5.4/100, 12.0/100, 6.8/100, and 3.3/100 patient-years, respectively. The incidence rates of AHRE >6 h were significantly higher in patients at high risk of thromboembolism (CHADS2 score ≥3) compared to those at low risk (CHADS2 score 1 or 2). Using Cox regression analysis, age ≥65 years and history of atrial fibrillation (AF) and/or atrial flutter (AFL) were risk factors for AHRE >6 min. In addition, hypertension was associated with AHRE >24 h (hazard ratio 2.13, 95% confidence interval 1.24-3.65, P = 0.006).
CONCLUSION: Atrial high rate episode >6 min to ≤6 h were most prevalent among all AHRE duration categories. Longer AHREs were more common in patients at risk of thromboembolism. Age and history of AF/AFL were risk factors for AHRE >6 min. Furthermore, hypertension showed a strong impact on the development of AHRE >24 h rather than age.
© The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology.

Entities:  

Keywords:  Atrial fibrillation; Atrial high rate episode; Cardiac implantable electronic device; Clinical profile; Stroke; Thromboembolism

Mesh:

Year:  2022        PMID: 34426836      PMCID: PMC8892042          DOI: 10.1093/europace/euab186

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


Atrial high rate episode (AHRE) lasting >6 min to ≤6 h most frequently occurred among duration-categorized AHREs in patients at risk of life-threatening arrhythmias. Atrial high rate episodes lasting >6 h more frequently occurred in patients at high risk of thromboembolism compared to those at low risk. Age and history of atrial fibrillation or flutter were risk factors associated with the development of AHREs lasting >6 min. Hypertension was a risk factor for the development of long AHRE (>24 h), with a greater impact than age.

Introduction

Atrial fibrillation (AF) is associated with increased risks of stroke, myocardial infarction, heart failure, and mortality. A substantial proportion of AF is asymptomatic and often eludes detection by conventional diagnostic methods such as physical examination, 12-lead electrocardiogram (ECG), and 24-h Holter ECG. In approximately one-quarter of patients with stroke, no overt aetiology is identified, and these events may be related to atrial high rate episodes (AHREs), which generally represent either subclinical AF or atrial flutter (AFL). Cardiac implantable electronic devices (CIEDs) can automatically record all spontaneous episodes of atrial and ventricular arrhythmias regardless of symptoms. Previous studies demonstrated that AHRE is associated with increased risks of developing clinically manifest AF, thromboembolism,, cardiovascular events, and mortality. Atrial high rate episode lasting more than 5 or 6 min is considered clinically relevant, and patients presenting with AHRE should be assessed for other stroke risk factors. Thus, current clinical practice guidelines address diagnosis and management of patients with AHRE. Although inflammation at the time of CIED implantation is associated with subsequently detected AHRE, the clinical profiles of patients with AHRE of various durations have not been defined. The IMPACT trial included 2718 patients with implantable cardioverter-defibrillators (ICDs) or cardiac resynchronization therapy (CRT) devices, and examined the strategy of basing anticoagulation therapy on the burden of AHRE and each patient’s intrinsic risk of thrombeoembolism. In a sub-study of the trial, we sought to identify clinical characteristics of patients with various burdens of AHRE and to assess the risk factors associated with the development of AHRE of various durations in patients with ICD or CRT-D devices.

Methods

Study population

The study design of IMPACT (ClinicalTrials.gov identifier NCT00559988) has been previously described. In brief, this interventional, single-blinded, randomized, multicentre trial enrolled 2718 patients with dual-chamber ICD or CRT-D devices (Biotronik, Inc.) at 104 centres in North America, Europe, and Australia. Eligible patients had at least one additional stroke risk factor (CHADS2 score ≥1) and were deemed able to tolerate anticoagulation. Patients with permanent AF or contraindications to anticoagulation were excluded. Patients were randomized to a strategy of starting and stopping anticoagulation based on remote rhythm monitoring vs. usual office-based follow-up with anticoagulation based on standard clinical criteria. The protocol was approved by institutional review boards governing human research.

Definition of atrial high rate episode

Atrial high rate episode was defined as atrial tachyarrhythmias with ≥36 of 48 atrial beats and cycle lengths ≤300 ms (atrial rates ≥200 b.p.m.). For this analysis, we subdivided AHRE into five categories according to duration as no AHRE, episodes ≤6 min, >6 min but ≤6 h, >6 h but ≤24 h, and those lasting >24 h. Classification was based on the longest AHRE during follow-up (median 701 days and cumulative 5430 patient-years).

Statistical analysis

Continuous variables were expressed as mean ± standard deviation, and categorical variables as numbers and percentages. We compared categorical variables using the χ2 test and continuous variables using the independent samples t-test for normally distributed data or Mann–Whitney U test for non-normal distribution. Significance was accepted at the 95% confidence interval (CI, two-sided P ≤ 0.05). Since we performed multiple (four pairwise) comparisons of baseline characteristics, the Bonferroni correction was applied to adjust the threshold for significance (0.05/4 = 0.0125). To identify independent risk factors associated with AHRE, we performed Cox proportional hazards regression analysis. The multivariable models were adjusted for underlying heart disease, medications, and components of the CHA2DS2-VASc score as covariates. The cumulative incidence of AHRE of various durations was displayed using the Kaplan–Meier method. Receiver operating characteristic (ROC) analysis was performed to evaluate the discrimination of the risk scores to predict the development of AHRE based on the area under the ROC curves (AUC). To compare the predictive models, we calculated the difference between the AUCs by the method of DeLong et al. Statistical analyses were performed using SAS version 9.2 (SAS Institute Inc., Cary, NC, USA), SPSS version 21 (IBM Corp., Armonk, NY, USA), and StatXact version 10 (Cytel, Cambridge, MA, USA).

Results

Baseline patient characteristics

Baseline characteristics of enrolled patients are shown in Table . Mean age was 64.4 years; 26.3% were women. Of all patients, 64% had ICD and 36% CRT-D devices. During a mean follow-up of 2.0 ± 1.2 years, 945 patients (34.8%) developed AHRE; 292 (10.7%) had AHRE ≤6 min, 284 (10.4%) >6 min to ≤6 h, 187 (6.9%) >6 to ≤24 h, and 182 (6.7%) >24 h. Baseline characteristics of patients AAD, antiarrhythmic drugs; ACE-I, angiotensin-converting enzyme inhibitor; AF, atrial fibrillation; AFL, atrial flutter; AHRE, atrial high rate episode; ARB, angiotensin II receptor blocker; CM, cardiomyopathy; ICD, implantable cardioverter-defibrillator; NA, not applicable; SCD, sudden cardiac death; TIA, transient ischaemic attack. Versus no AHRE group. Versus AHRE ≤6 min. Patients developing AHRE for ≤6 min were slightly younger, with less heart failure but a higher prevalence of non-ischaemic cardiomyopathy and higher proportion of ICD devices (Table ). Patients with AHRE lasting >6 min to ≤6 h and >6 to ≤24 h were older and less frequently women than patients without AHRE. Conversely, a history of AF or AFL was more frequent in these groups. Patients with AHRE >24 h were older than those without AHRE but a similar proportion were women. In this group, there was a higher prevalence of AF or AFL at baseline and more frequent use of digoxin (Table ). Of those who developed AHRE, 64.6% had CHADS2 scores of 2 and 26.2% had CHA2DS2-VASc scores of 4 (Figure ). The distribution of patients with CIED according to the risk scores [(A) CHADS2 score and (B) CHA2DS2-VASc score]. AHRE, atrial high rate episode.

Incidence rates of atrial high rate episode

The Kaplan–Meier estimates of the cumulative incidence of each AHRE duration are depicted in Figure . The incidence rates of each AHRE category during follow-up were 5.4/100, 12.0/100, 6.8/100, and 3.3/100 patient-years, respectively (Table ). Time frame over which AHREs were documented was described in Supplementary material online, Table S1. To assess the relationship between incidence rate and thromboembolic risk, we divided patients into two groups according to CHADS2 score—those at low risk (CHADS2 score 1 or 2) and those at high risk (CHADS2 score ≥3)—and compared the incidence rates of each AHRE category in these two groups (Table ). There were no significant differences between low-risk and high-risk patients in the incidence rates of AHRE ≤6 min and >6 min to ≤6 h [risk ratio (RR) 0.906, 95% CI 0.728–1.128, RR 1.108, 95% CI 0.969–1.266], while the incidence rates of AHRE >6 to ≤24 h, and those lasting >24 h were higher in high-risk patients compared to those with low-risk CHADS2 scores (RR 1.244, 95% CI 1.029–1.504 and RR 1.476, 95% CI 1.113–1.957, respectively). The cumulative incidence of different burden of AHRE using the Kaplan–Meier method. AHRE, atrial high rate episode. Incidence rate of each burden of AHREs 0.906 (0.73–1.13) 1.11 (0.97–1.27) 1.24 (1.03–1.50) 1.48 (1.11–1.96) Low-risk group (CHA2DS2-VASc = 1–3) High-risk group (CHA2DS2-VASc ≥ 4) RR (95% CI)a Incidence rate (100 patient-years) Incidence rate (100 patient-years) Incidence rate (100 patient-years) 0.84 (0.68–1.05) 1.17 (1.02–1.34) 1.28 (1.05–1.56) 1.41 (1.05–1.90) AHRE, atrial high rate episode; CI, confidence interval; RR, risk ratio. Low-risk group as a reference. Similarly, we assessed this relationship using CHA2DS2-VASc score and observed the consistent results with the results using CHADS2 score, showing significantly high incidence rates of AHRE >6 h in high-risk patients (CHA2DS2-VASc score ≥4) compared to those at low risk (CHA2DS2-VASc score 1–3) (RR 1.282, 95% CI 1.053–1.560 for AHRE >6 to ≤24 h, RR 1.412, 95% CI 1.052–1.896 for AHRE >24 h). Furthermore, AHRE >6 min to ≤6 h also occurred more frequently in high-risk patients compared to those at low risk (RR 1.172, 95% CI 1.022–1.345). In order to assess the relationship between the development of AHRE over time, we compared the follow-up duration among four AHRE categories. Table demonstrates that the follow-up duration in patients with AHRE >24 h was significantly longer than those with AHRE <6 min (P = 0.008), while there was no significant difference in the follow-up duration among other AHRE duration subgroups.

Risk factors for the development of atrial high rate episode

Cox regression analysis found heart failure inversely associated with the risk of AHRE ≤6 min [hazard ratio (HR) 0.58, 95% CI 0.40–0.85, P = 0.005]. Conversely, age ≥65 years and a history of AF or AFL were associated with AHRE of durations longer than 6 min (Figure ). Female gender was inversely associated with AHRE >6 min to ≤6 h (HR 0.72, 95% CI 0.54–0.96, P = 0.027) and >6 to ≤24 h (HR 0.70, 95% CI 0.49–1.02, P = 0.061). Hypertension was associated with AHRE >24 h (HR 2.13, 95% CI 1.24–3.65, P = 0.006). Clinical factors associated with the development of each burden of AHRE [(A) AHRE <6 min, (B) 6 min < AHRE ≤ 6 h, (C) 6 h < AHRE ≤ 24 h, and (D) AHRE > 24 h]. ACE-I, angiotensin-converting enzyme inhibitor; AF, atrial fibrillation; AFL, atrial flutter; ARB, angiotensin II receptor blocker; CI, confidence interval; CM, cardiomyopathy; HR, hazard ratio; TIA, transient ischaemic attack. Additionally, we performed a subgroup analysis in patients without history of AF or AFL. In general, the consistent results of associations between AHRE and clinical factors were observed with the analysis for the entire population (Supplementary material online, Table S2). Several associations of long AHRE (>24 h) with age ≥65 years and hypertension did not reach the statistically significant threshold in this analysis. This was in part due to a relative decrease in the number of patients with AHRE, although we found a trend for age ≥65 years and hypertension being associated with long AHRE (HR 1.44, 95% CI 0.99–2.09, P = 0.054 for age ≥65 years, HR 1.87, 95% CI 0.97–3.6, P = 0.063 for hypertension).

Association of CHADS2 and CHA2DS2-VASc scores with atrial high rate episode

Receiver operating characteristic curves showed that the AUC values of the CHADS2 and CHA2DS2-VASc scores for development of any burden of AHRE were low, ranging from 0.50 to 0.54, although there was a trend suggesting a relationship between the CHA2DS2-VASc score and AHRE >24 h (AUC 0.54, 95% CI 0.50–0.58, P = 0.053; Supplementary material online, Table S3). There was no significant difference in AUC values between the CHADS2 and CHA2DS2-VASc scores (P = 0.131 for AHRE ≤6 min, P = 0.679 for AHRE >6 min to ≤6 h, P = 0.137 for AHRE >6 to ≤24 h, and P = 0.768 for AHRE >24 h).

Discussion

The main finding of this study is that in patients with ICD or CRT-D devices capable of continuous arrhythmia detection, specific patient characteristics are associated with the duration of atrial tachyarrhythmias. Older age and a history of AF or AFL were risk factors for AHRE of longer duration. Furthermore, hypertension showed a strong impact on the development of AHRE lasting >24 h rather than age. In this population, AHRE between 6 min and 6 h was the most frequently detected duration. In previous studies, reported incidence rates of AHRE ranges from 30% to 70%, although incidence seems to depend on the clinical characteristics of each study population. An increased risk of adverse outcomes such as ischaemic stroke or systemic embolism has been associated with AHRE >5–6 min. Whether AHRE have the same implications for antithrombotic prophylaxis as overt AF remains unclear. Cohort studies have demonstrated that stroke risk in untreated patients with AHRE increases with an increasing burden of AHRE, and the net benefit of anticoagulation therapy for patients with AHRE >24 h is under investigation in clinical trials., Anticoagulation may be considered for selected patients with longer burdens of AHRE (e.g. >24 h), based upon anticipated clinical benefit, once patient preferences are also weighed. Clinical practice guidelines recommend careful monitoring of patients with device-detected AHRE, including remote monitoring systems, especially for patients with greater burdens of AHRE and high-risk clinical profiles. Previous study demonstrated that patients who developed AHRE >24 h showed a significantly higher risk of stroke or systemic embolism compared with those without AHRE, but other durations of AHRE did not show the association with an increased risk. In the present study, we found significant associations of AHRE >24 h with age, history of AF or AFL, and hypertension. Among those risk factors, age was associated with AHRE >24 h with a HR of 1.59, while hypertension showed more than two-hold risk for AHRE >24 h. This result may suggest that blood pressure may be an important target as one of the modifiable clinical factors for the prevention from adverse outcomes such as stroke or systemic embolism in patients who develop AHRE. Furthermore, stratification of patients according to AHRE duration disclosed a sex-based difference, as women were less likely to exhibit AHRE from 6 min to 24 h duration. Despite a lower age-adjusted prevalence of overt AF in women compared with men, a difference in AHRE based on gender has not been previously reported and warrants confirmation in future studies. The association between use of digoxin and AHRE >24 h is difficult to explain in the absence of data on serum digoxin dosage, plasma concentration, and indications for therapy. Indeed, at supra-therapeutic blood concentrations, digoxin is associated with an increased risk of adverse effects. We observed a negative association between short AHRE (<6 min) and heart failure, but the clinical relevance of such short AHRE is not well established because AHRE lasting <6 min was previously reported to have low positive predictive value for actual AF episodes. In addition, the LOOP (Atrial Fibrillation Detected by Continuous ECG Monitoring Using Implantable Loop Recorder to Prevent Stroke in High-risk Individuals) study showed that only a minority (16%) of short episodes of subclinical AF progressed to longer episodes >24 h, and that 22% of patients with AF detected by implantable loop recorder had no other episodes of AF in a 3-year follow-up. Thus, we cautiously interpret the results regarding the associations between short AHRE and clinical characteristics. Use of the CHADS2 and CHA2DS2-VASc scores has extended beyond assessment of thromboembolism risk to predict new-onset AF, left atrial remodelling, and AF recurrence after catheter ablation. We found no significant difference in the performance of the two scores to predict AHRE. In fact, unlike clinically manifest AF, these risk scores did not perform well in predicting device-detected AHRE of any duration. One explanation may be that AHRE relate more closely to arrhythmogenic atrial pathology than to thrombogenicity and risk of clinical ischaemic events.

Limitations

The present study has several limitations. First, the study population consisted of high-risk patients with ICD or CRT-D devices, who often had heart failure or other underlying heart disease associated with a risk of life-threatening arrhythmias. Their clinical characteristics may therefore differ from patients with other types of CIEDs, such as pacemakers and loop recorder. Although we investigated the relationship between clinical characteristics and the duration of AHRE, the association of AHRE with clinical outcomes, including stroke, heart failure, hospitalization, or mortality was not addressed because the IMPACT study randomly assigned patients to anticoagulation based on remote rhythm monitoring compared to conventional follow-up, which may affect the relationship between AHRE and clinical outcomes. Furthermore, we observed a significant difference in the follow-up durations between AHRE <6 min and AHRE >24 h, suggesting that long-term observation may more frequently detect longer AHRE duration during follow-up. Hence, the follow-up duration for each individual could possibly contribute to the results from this study, although there was no significant difference in the follow-up duration between other AHRE duration subgroups. Moreover, in the IMPACT study, AHREs were subjected to an adjudication by the expert committee in the case of events that would have triggered the initiation of anticoagulants. Although some of the AHREs might by chance be due to the false reading by CIEDs, longer AHREs were in general were subjected to an independent adjudication.

Conclusions

The duration of AHRE varies according to the clinical characteristics of patients with implanted defibrillator or resynchronization devices. Atrial high rate episode >6 min to ≤6 h was most prevalent among all AHRE duration categories in patients with ICD or CRT-D. Longer AHREs more frequently occurred in patients at risk of thromboembolism. Age and history of AF/AFL were risk factors for AHRE >6 min. Furthermore, hypertension showed a strong impact on the development of AHRE >24 h rather than age.

Supplementary material

Supplementary material is available at Europace online. Click here for additional data file.
Table 1

 Baseline characteristics of patients

No AHRE group (n = 1773)AHREs groups
≤6 min (n = 292) P-value>6 min/≤6 h (n = 284) P-valuea>6 h/≤24 h (n = 187) P-valuea>24 h (n = 182) P-valuea
Age (years)63.9 ± 11.262.4 ± 11.10.05066.8 ± 10.6<0.00166.8 ± 10.6<0.00166.5 ± 10.60.001
Women490 (27.6)86 (29.5)0.52261 (21.5)0.03038 (20.3)0.03240 (22.0)0.102
Hypertension1480 (83.5)243 (83.2)0.914227 (79.9)0.140160 (85.6)0.463167 (91.8)0.003
Diabetes mellitus733 (41.3)111 (38.0)0.284107 (37.7)0.24374 (39.6)0.24384 (46.2)0.210
Heart failure1607 (90.6)252 (86.3)0.022257 (90.5)0.938164 (87.7)0.938165 (90.7)0.992
History of stroke/TIA159 (9.0)34 (11.6)0.14623 (8.1)0.63214 (7.5)0.63213 (7.1)0.408
Vascular disease1035 (58.4)157 (53.7)0.140165 (58.1)0.930115 (61.5)0.930112 (61.5)0.409
Non-ischaemic CM617 (34.8)119 (40.8)0.049106 (37.3)0.40865 (34.8)0.99155 (30.2)0.215
Valvular disease899 (50.7)160 (54.8)0.198158 (55.6)0.125101 (54.0)0.394106 (58.2)0.054
History of AF/AFL138 (7.8)29 (9.9)0.21252 (18.3)<0.00148 (25.7)<0.00163 (34.6)<0.001
CHADS2 score2.5 ± 1.02.5 ± 1.10.3412.5 ± 1.10.3532.5 ± 1.10.9172.6 ± 1.00.074
CHA2DS2-VASc score3.9 ± 1.53.7 ± 1.40.0703.9 ± 1.60.9343.9 ± 1.50.4924.1 ± 1.40.055
ICD1095 (61.8)211 (72.3)0.001186 (65.5)0.228128 (68.5)0.073112 (61.5)0.953
Primary prevention of SCD1566 (88.3)247 (84.6)0.071250 (88.0)0.885164 (87.7)0.801164 (90.1)0.474
Beta-blockers1628 (91.8)267 (91.4)0.825254 (89.4)0.181165 (88.2)0.095165 (90.7)0.588
ACE-I/ARB1467 (82.7)253 (86.6)0.098239 (84.2)0.557162 (86.6)0.177155 (85.2)0.408
Digoxin230 (13.0)39 (13.4)0.85747 (16.6)0.10129 (15.5)0.33034 (18.7)0.032
AAD188 (10.6)25 (8.6)0.28830 (10.6)0.98419 (10.2)0.17526 (14.3)0.130
Statin1310 (73.9)200 (68.5)0.054205 (72.2)0.545144 (77.0)0.355140 (76.9)0.373
Follow-up periods (days)bNA827.7 ± 426.9Ref830.4 ± 441.00.926907.1 ± 443.70.053936.9 ± 436.20.008

AAD, antiarrhythmic drugs; ACE-I, angiotensin-converting enzyme inhibitor; AF, atrial fibrillation; AFL, atrial flutter; AHRE, atrial high rate episode; ARB, angiotensin II receptor blocker; CM, cardiomyopathy; ICD, implantable cardioverter-defibrillator; NA, not applicable; SCD, sudden cardiac death; TIA, transient ischaemic attack.

Versus no AHRE group.

Versus AHRE ≤6 min.

Table 2

 Incidence rate of each burden of AHREs

Overall
Low-risk group (CHADS2 = 1 or 2)
High-risk group (CHADS2 ≥ 3)
RR (95% CI)a
Number of patientsIncidence rate (100 patient-years)Number of patientsIncidence rate (100 patient-years)Number of patientsIncidence rate (100 patient-years)
AHRE ≤ 6 min2925.3641675.601255.076

0.906 (0.73–1.13)

6 min < AHRE ≤ 6 h65311.99534111.43931212.669

1.11 (0.97–1.27)

6 h < AHRE ≤ 24 h3696.7781826.1051877.593

1.24 (1.03–1.50)

AHRE > 24 h1823.343822.7511004.061

1.48 (1.11–1.96)

Overall

Low-risk group

(CHA2DS2-VASc = 1–3)

High-risk group

(CHA2DS2-VASc ≥ 4)

RR (95% CI)a

Number of patients

Incidence rate

(100 patient-years)

Number of patients

Incidence rate

(100 patient-years)

Number of patients

Incidence rate

(100 patient-years)

AHRE ≤ 6 min2925.3641395.8881534.963

0.84 (0.68–1.05)

6 min < AHRE ≤ 6 h65311.99525810.92939512.812

1.17 (1.02–1.34)

6 h < AHRE ≤ 24 h3696.7781385.8462317.493

1.28 (1.05–1.56)

AHRE > 24 h1823.343642.7111183.828

1.41 (1.05–1.90)

AHRE, atrial high rate episode; CI, confidence interval; RR, risk ratio.

Low-risk group as a reference.

  23 in total

1.  Randomized trial of atrial arrhythmia monitoring to guide anticoagulation in patients with implanted defibrillator and cardiac resynchronization devices.

Authors:  David T Martin; Malcolm M Bersohn; Albert L Waldo; Mark S Wathen; Wassim K Choucair; Gregory Y H Lip; John Ip; Richard Holcomb; Joseph G Akar; Jonathan L Halperin
Journal:  Eur Heart J       Date:  2015-04-23       Impact factor: 29.983

2.  Positive predictive value of device-detected atrial high-rate episodes at different rates and durations: an analysis from ASSERT.

Authors:  Elizabeth S Kaufman; Carsten W Israel; Girish M Nair; Luciana Armaganijan; Syamkumar Divakaramenon; Georges H Mairesse; Axel Brandes; Eugene Crystal; Otto Costantini; Roopinder K Sandhu; Ratika Parkash; Stuart J Connolly; Stefan H Hohnloser; Jeff S Healey
Journal:  Heart Rhythm       Date:  2012-03-20       Impact factor: 6.343

3.  Natural History of Subclinical Atrial Fibrillation Detected by Implanted Loop Recorders.

Authors:  Søren Zöga Diederichsen; Ketil Jørgen Haugan; Axel Brandes; Mathias Buus Lanng; Claus Graff; Derk Krieger; Christian Kronborg; Anders Gaarsdal Holst; Lars Køber; Søren Højberg; Jesper Hastrup Svendsen
Journal:  J Am Coll Cardiol       Date:  2019-12-03       Impact factor: 24.094

4.  CHADS(2) and CHA(2)DS(2)-VASc scores in the prediction of clinical outcomes in patients with atrial fibrillation after catheter ablation.

Authors:  Tze-Fan Chao; Yenn-Jiang Lin; Hsuan-Ming Tsao; Chin-Feng Tsai; Wei-Shiang Lin; Shih-Lin Chang; Li-Wei Lo; Yu-Feng Hu; Ta-Chuan Tuan; Kazuyoshi Suenari; Cheng-Hung Li; Beny Hartono; Hung-Yu Chang; Kibos Ambrose; Tsu-Juey Wu; Shih-Ann Chen
Journal:  J Am Coll Cardiol       Date:  2011-11-29       Impact factor: 24.094

5.  Atrial high-rate episodes and risk of major adverse cardiovascular events in patients with cardiac implantable electronic devices.

Authors:  Daniele Pastori; Kazuo Miyazawa; Yanguang Li; Orsolya Székely; Farhan Shahid; Alessio Farcomeni; Gregory Y H Lip
Journal:  Clin Res Cardiol       Date:  2019-05-29       Impact factor: 5.460

6.  Risk factors, outcome, and treatment in subtypes of ischemic stroke: the German stroke data bank.

Authors:  A J Grau; C Weimar; F Buggle; A Heinrich; M Goertler; S Neumaier; J Glahn; T Brandt; W Hacke; H C Diener
Journal:  Stroke       Date:  2001-11       Impact factor: 7.914

7.  Subclinical atrial fibrillation and the risk of stroke.

Authors:  Jeff S Healey; Stuart J Connolly; Michael R Gold; Carsten W Israel; Isabelle C Van Gelder; Alessandro Capucci; C P Lau; Eric Fain; Sean Yang; Christophe Bailleul; Carlos A Morillo; Mark Carlson; Ellison Themeles; Elizabeth S Kaufman; Stefan H Hohnloser
Journal:  N Engl J Med       Date:  2012-01-12       Impact factor: 91.245

8.  Atrial fibrillation in patients with cryptogenic stroke.

Authors:  David J Gladstone; Melanie Spring; Paul Dorian; Val Panzov; Kevin E Thorpe; Judith Hall; Haris Vaid; Martin O'Donnell; Andreas Laupacis; Robert Côté; Mukul Sharma; John A Blakely; Ashfaq Shuaib; Vladimir Hachinski; Shelagh B Coutts; Demetrios J Sahlas; Phil Teal; Samuel Yip; J David Spence; Brian Buck; Steve Verreault; Leanne K Casaubon; Andrew Penn; Daniel Selchen; Albert Jin; David Howse; Manu Mehdiratta; Karl Boyle; Richard Aviv; Moira K Kapral; Muhammad Mamdani
Journal:  N Engl J Med       Date:  2014-06-26       Impact factor: 91.245

9.  Probing oral anticoagulation in patients with atrial high rate episodes: Rationale and design of the Non-vitamin K antagonist Oral anticoagulants in patients with Atrial High rate episodes (NOAH-AFNET 6) trial.

Authors:  Paulus Kirchhof; Benjamin F Blank; Melanie Calvert; A John Camm; Gregory Chlouverakis; Hans-Christoph Diener; Andreas Goette; Andrea Huening; Gregory Y H Lip; Emmanuel Simantirakis; Panos Vardas
Journal:  Am Heart J       Date:  2017-05-03       Impact factor: 4.749

Review 10.  Atrial high-rate episodes: prevalence, stroke risk, implications for management, and clinical gaps in evidence.

Authors:  Emanuele Bertaglia; Benjamin Blank; Carina Blomström-Lundqvist; Axel Brandes; Nuno Cabanelas; G-Andrei Dan; Wolfgang Dichtl; Andreas Goette; Joris R de Groot; Andrzej Lubinski; Eloi Marijon; Béla Merkely; Lluis Mont; Christopher Piorkowski; Andrea Sarkozy; Neil Sulke; Panos Vardas; Vasil Velchev; Dan Wichterle; Paulus Kirchhof
Journal:  Europace       Date:  2019-10-01       Impact factor: 5.214

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Review 1.  How should I treat patients with subclinical atrial fibrillation and atrial high-rate episodes? Current evidence and clinical importance.

Authors:  Fabienne Kreimer; Andreas Mügge; Michael Gotzmann
Journal:  Clin Res Cardiol       Date:  2022-03-15       Impact factor: 6.138

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