Literature DB >> 33168641

Catheter ablation and mortality, stroke and heart failure readmission with atrial fibrillation.

Jannik Langtved Pallisgaard1, Morten Lock Hansen2, Anne-Marie Schjerning2, Arne Johannessen2, Thomas Alexander Gerds3, Finn Gustafsson4, Gunnar Hilmar Gislason2, Chriatian Torp-Pedersen5, Peter Karl Jacobsen4, Søren Lund Kristensen2, Lars Koeber4, Anders Munch3, Morten Schou6.   

Abstract

BACKGROUND: Recent randomised clinical trials have suggested prognostic benefits of catheter ablation in highly selected patients with atrial fibrillation (AF) and heart failure (HF).
OBJECTIVES: This study sought to identify the treatment effect associated with catheter ablation in a broad population of patients with AF and HF.
METHODS: Through nationwide administrative registers in Denmark, we estimated the 2-year average treatment effect (ATE) of catheter ablation for AF on a composite endpoint of HF readmission, stroke and all-cause mortality at 1-year and 5-year landmark analyses. The primary cohort was patients with AF before HF, and the second cohort of patients with HF before AF.
RESULTS: A total of 13 756 patients were included with 9904 patients in the primary cohort, and 3852 in the secondary. An ATE (95% CI) reduction of the composite endpoint of 7.0% (4.5% to 9.5%) was observed in the primary cohort and 11.8% (6.0% to 17.6%) in the secondary in the 1-year landmark analysis with a reduction in all-cause mortality of 5.8% (3.7%-7.8%) and 6.3% (0.9%-11.7%), respectively. At the 5-year landmark, catheter ablation was associated with reductions in the composite endpoint and all-cause mortality in the primary (4.7% (2.3% to 7.2%), and 3.6% (1.0% to 6.3%), respectively), but not in the secondary cohort.
CONCLUSIONS: Ablation was associated with decreased risk of HF readmission, stroke and all-cause mortality in patients with AF and HF. The effect is most substantial in patients with AF before HF and with catheter ablation after 1 year from the diagnosis of both conditions. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  atrial fibrillation; heart failure; radiofrequency ablation; stroke

Year:  2020        PMID: 33168641      PMCID: PMC7654118          DOI: 10.1136/openhrt-2020-001369

Source DB:  PubMed          Journal:  Open Heart        ISSN: 2053-3624


Recent studies have shown a possible decreased risk of death with radiofrequency ablation in patients with atrial fibrillation and heart failure. Atrial fibrillation can lead to tachycardia-induced heart failure, but also heart failure increases the risk of developing atrial fibrillation. Our study shows a decreased risk of readmission with heart failure, stroke and all-cause mortality with radiofrequency ablation in both patients with atrial fibrillation before heart failure and in patients with heart failure before atrial fibrillation. This reduction was most prominent in patients with tachycardia-induced heart failure. Radiofrequency ablation should not only be seen as symptom-relieving but also as a potential mortality-reducing procedure in patients with atrial fibrillation and heart failure.

Introduction

Pharmacological treatment of atrial fibrillation (AF) in patients with concomitant heart failure (HF) poses a challenge in daily clinical practice.1 Medical therapy remains the first choice in the management of AF, but modest efficacy, adverse effects and contraindications are significant limitations to this strategy.2 Catheter ablation to restore sinus rhythm is, therefore, an intriguing additional treatment option, especially in patients with a tachyarrhythmia-induced cardiomyopathy.3 Small studies have suggested that catheter ablation may improve left ventricular function and functional capacity in patients with AF and HF,4–7 and recently randomised controlled trials reported that catheter ablation might reduce the risk of admission for HF and mortality.8 9 Considering the neutral result of the AF-CHF trial (Rhythm Control vs Rate Control for AF and HF), the mortality benefit observed in the CASTLE-AF trial (Catheter Ablation vs Standard Conventional Treatment in Patients with Left Ventricular Dysfunction and Atrial Fibrillation) was somewhat surprising.10 It has been hypothesised that small study size in CASTLE-AF (ie, type I error), lack of balancing of baseline variables, an uneven number of patients lost to follow-up, as well as bias due to an inherent open study design may explain the results.11 Finally, it is unclear how the results from too slow recruiting trials evaluating treatment effect in typical conditions (20%–40% of all patients with HF have AF) should be translated into clinical practice. For these reasons, patient selection for catheter ablation remains unclear in patients with AF and concomitant HF. The present study sought to evaluate the real-life association between AF catheter ablation and a composite endpoint of stroke, admission for HF or all-cause mortality in a nationwide cohort of patients with AF and HF ≤75 years and all treated with oral anticoagulation. Analyses were done separately for patients with pre-existing AF before HF diagnosis and those with AF after HF diagnosis. The rationale for the two separate cohorts was the preconceived notion that patients with AF before HF would have tachyarrhythmia-induced HF and, therefore, more significant benefit from catheter ablation than patients with HF before AF, where structural myocardial heart disease and increased left ventricular filling pressures more likely would be the pathogenesis for AF.

Methods

Data sources

In this register-based cohort study, information on demographics, comorbidities, procedures, concomitant medication, and outcome variables were identified using three different nationwide Danish registers. These registers were cross-linked using the unique personal identification number given to all Danish citizens at the date of birth or date of migration to Denmark. The Civil Registration System holds data on age, sex and vital status of patients, where all deaths are registered within 14 days of occurrence. The Danish National Patient Register contains information on every hospital admission in Denmark since 1978, in which each hospitalisation is registered at discharge with one primary diagnosis and, if applicable, one or more secondary diagnoses according to the International Classification of Diseases; the 10th revision (ICD-10), since 1994. The Danish National Patient Register also holds information on operations and procedures, including catheter ablation. These procedures have been registered since 1996 and coded according to the Nordic Classification of Surgical Procedures (NCSP) by The Nordic Medico-Statistical Committee. Data on the date, quantity, strength, formulation and affiliation of the prescribing physician, all prescriptions dispensed from Danish pharmacies have been accurately registered in The Danish Registry of Medicinal Product Statistics since 1995 and coded according to the Anatomical Therapeutic Chemical classification system. Prevalent AF was identified using ICD-10 code ‘I48’ in both inpatients and outpatients. Patients with HF were identified based on our hospital outpatient clinic discharge diagnostic codes. Prevalent HF was identified using the ICD-10 code ‘I50’, ‘I11.0’, ‘I13.0’ or ‘I13.2’, also in both inpatients and outpatients.12 13 Catheter ablation procedures for AF were identified using the NCSP procedure code ‘BFFB04’ for AF catheter ablation (online supplemental table 1).

Study cohort

Patients were included between 2005 and 2017, age ranged between 18 and 75 years, no history of prior catheter ablation, or ischaemic stroke and were all treated with oral anticoagulants. The age and anticoagulation criteria were used to include a study population more likely to be referred to an AF catheter ablation. The analyses were done separately in two cohorts: the primary cohort contained patients who were diagnosed with AF before or the same day as HF, and the secondary cohort included patients with HF before AF. Patients in the primary cohort were followed from the date of HF diagnosis, and for the secondary cohort date of AF diagnosis. This date is referred to as index date in the two cohorts, respectively.

Study endpoint

The primary endpoint was a composite of HF readmission, stroke and all-cause mortality, and secondary endpoints were the endpoints separately.

Patient and public involvement statement

The patients and public were not involved in the creation of the study design or statistical analysis. Patients were not consulted to develop patient-relevant outcomes or interpret the results. Patients were not invited to contribute to the writing or editing of this document for readability or accuracy.

Statistics

All analyses were performed separately, starting from two landmark time points set at 1 year and 5 years after study inclusion, respectively. Patients were included if they were alive and without events at landmark. The two landmark analyses were performed at 1 and 5 years in order to investigate whether potential benefits of catheter ablation would be present in both patients with long and short duration of AF and HF prior to the procedure. Patients were then subdivided according to whether they had received catheter ablation in the time between the index date and the landmark date. Patients who had an event included in the primary composite endpoint between the date of HF diagnosis and landmark date were excluded from the analyses, in order to avoid immortal time bias. Patients were followed from the landmark time point until the composite endpoint, date of emigration or 1 January 2017, whatever came first (figure 1). The absolute personalised risks of the composite endpoint within the first 2 years after the landmark time point were estimated using Cox regression adjusted for patient characteristics evaluated at the landmark time point: catheter ablation status (yes/no) and the predictor variables of chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD), ischaemic heart disease (IHD), diabetes mellitus (DM), hypertension, outpatient HF diagnosis (yes/no), age and sex.
Figure 1

Flowchart of the landmark analyses. Patients were then followed from the landmark time point until the composite endpoint, date of emigration or 1 January 2017 whatever came first.

Flowchart of the landmark analyses. Patients were then followed from the landmark time point until the composite endpoint, date of emigration or 1 January 2017 whatever came first. Average treatment effects (ATEs) were defined as differences between the standardised absolute risks of the combined endpoint occurring within 2 years after the landmark time.14 Analyses were repeated with all-cause mortality as an outcome instead of the composite endpoint. For the two outcomes readmission with HF and stroke, death without readmission for HF (without stroke) is a competing risk. We used the cause-specific Cox regression approach of Benichou and Gail15 to estimate the absolute personalised risks of HF readmission, respectively, admission with stroke, within 2 years after the landmark date (online supplemental figure 1). Categorical data were presented as counts with percentages, and the statistical difference was tested using χ2 tests. Continuous variables were presented as medians with IQRs, and the statistical difference was tested using Wilcoxon rank-sum tests. Logistic regression (propensity score model) was used to associate patient characteristics evaluated at the index date with the odds of receiving catheter ablation within the landmark date. Data management and statistical analyses were conducted using R statistics.16 A p value <0.05 and a 95% CI not containing 1 was considered significant.

Results

The total number of patients included in the study were 13 756 with 9904 (72%) in the primary cohort and 3852 (28%) in the secondary cohort. Of the 9904 patients in the primary cohort (AF before HF), 3677 (37.1%) were diagnosed with AF and HF on the same day (figure 2). At baseline, the median (IQR) age was 67 (61–71) years, and 74.2% were men with no difference found between the two cohorts, but significantly more comorbidities were observed in the second cohort (table 1).
Figure 2

Flowchart of the study cohort selection. OAC, oral anticoagulation.

Table 1

Baseline characteristics at index date

VariableAF before HF (n=9904)HF before AF (n=3852)Total cohort (n=13 756)P value
Age, median (IQR)66.9 (61–71)66.9 (61–71)66.9 (61–71)0.7132
Men, n (%)7320 (73.9)2885 (74.9)10 205 (74.2)0.2438
COPD, n (%)1474 (14.9)831 (21.6)2305 (16.8)<0.001
CKD, n (%)554 (5.6)391 (10.2)945 (6.9)<0.001
IHD, n (%)3031 (30.6)2034 (52.8)5065 (36.8)<0.001
DM, n (%)1885 (19.0)1057 (27.4)2942 (21.4)<0.001
HT, n (%)9553 (96.5)3775 (98.0)13 328 (96.9)<0.001
Outpatients2654 (26.8)1285 (33.4)3939 (28.6)<0.001
Thiazides, n (%)1640 (16.6)561 (14.6)2201 (16.0)0.005
Spironolactone, n (%)2627 (26.5)1456 (37.8)4083 (29.7)<0.001
Loop, n (%)6918 (69.9)2739 (71.1)9557 (70.2)0.154
Beta-blocker, n (%)8367 (84.5)3193 (82.9)11 560 (84.0)0.024
Calcium channel blocker, n (%)2604 (26.3)863 (22.4)3467 (25.2)<0.001
RAS inhibitor, n (%)7724 (78.0)3165 (82.2)10 889 (79.2)<0.001
Verapamil, n (%)784 (7.9)145 (3.8)929 (6.8%)<0.001
Amiodarone, n (%)1625 (16.4)643 (16.7)2268 (16.5)0.682
Digoxin, n (%)5091 (51.4)1569 (40.7)6660 (48.4)<0.001
Dabigatran, n (%)1124 (11.3)367 (9.5)1491 (10.8)0.002
Rivaroxaban, n (%)651 (6.6)255 (6.6)906 (6.6)0.951
Apixaban, n (%)750 (7.6)347 (9.0)1097 (8.0)0.006
Warfarin, n (%)7550 (76.2)2935 (76.2)10 485 (76.2)0.981
Marcumar, n (%)124 (1.3)48 (1.2)172 (1.3)1.000
ICD, n (%)339 (3.4)526 (13.7)865 (6.3)<0.001
PCI, n (%)940 (9.5)783 (20.3)1723 (12.5)<0.001
CABG, n (%)631 (6.4)584 (15.2)1215 (8.8)<0.001
CHA2DS2-VASc (IQR)3 (2–4)3 (2–4)3 (2–4)<0.001

The distribution of the predictor variables at the index date.

CABG, coronary artery bypass graft; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; DM, diabetes mellitus; HT, hypertension; ICD, implantable cardioverter-defibrillator; IHD, ischaemic heart disease; PCI, percutaneous coronary intervention.

Baseline characteristics at index date The distribution of the predictor variables at the index date. CABG, coronary artery bypass graft; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; DM, diabetes mellitus; HT, hypertension; ICD, implantable cardioverter-defibrillator; IHD, ischaemic heart disease; PCI, percutaneous coronary intervention. Flowchart of the study cohort selection. OAC, oral anticoagulation. After 1 year, 259 (3.1%) and 50 (1.6%) patients had received a catheter ablation in the primary and secondary cohort, respectively. The total number of catheter ablations performed in the study period was 749 (5.4%), with 627 (6.3%) in the primary cohort and 122 (3.2%) in the secondary. Higher age, COPD, IHD, DM all significantly decreased the likelihood of a catheter ablation (table 2 and figure 3).
Table 2

Patients eligible for 1-year landmark analysis

VariableAF before HFHF before AF
No-catheter ablation (n=8154)Catheter ablation (n=259)P valueNo-catheter ablation (n=3052)Catheter ablation (n=50)P value
Age median (IQR)67.7 (62.0–71.9)61.1 (52.6–66.9)<0.00167.6 (61.4–71.9)61.9 (51.9–66.0)<0.001
Sex male6051 (74.2)210 (81.1)0.0152279 (74.7)42 (84.0)0.179
COPD1303 (16.0)21 (8.1)<0.001656 (21.5)5 (10.0)0.073
CKD520 (6.4)10 (3.9)0.131315 (10.3)<3 (4.0)0.219
IHD2858 (35.1)70 (27.0)0.0091665 (54.6)24 (48.0)0.435
DM1747 (21.4)33 (12.7)0.001842 (27.6)11 (22.0)0.473
HT8048 (98.7)255 (98.5)0.9503015 (98.8)49 (98.0)1.000
Outpatient2290 (28.1)60 (23.2)0.0961052 (34.5)26 (52.0)0.015

The distribution of the predictor variables at the 1-year landmark.

AF, atrial fibrillation; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; DM, diabetes mellitus; HF, heart failure; HT, hypertension; IHD, ischaemic heart disease.

Figure 3

Propensity of predictor variables towards catheter ablation. AF, atrial fibrillation; COPD, chronic obstructive pulmonary disease; CKD, chronic kidney disease; DM, diabetes mellitus; HF, heart failure; HT, hypertension; IHD, ischaemic heart disease.

Patients eligible for 1-year landmark analysis The distribution of the predictor variables at the 1-year landmark. AF, atrial fibrillation; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; DM, diabetes mellitus; HF, heart failure; HT, hypertension; IHD, ischaemic heart disease. Propensity of predictor variables towards catheter ablation. AF, atrial fibrillation; COPD, chronic obstructive pulmonary disease; CKD, chronic kidney disease; DM, diabetes mellitus; HF, heart failure; HT, hypertension; IHD, ischaemic heart disease. The absolute risk difference as defined by the ATE (95% CI) in patients who received catheter ablation compared with those who did not after 1 year was 7.0% (4.5%–9.5%) in the primary cohort and 11.8% (6.0%–17.6%) in the secondary cohort regarding the composite endpoint. The composite endpoint was mainly driven by all-cause mortality and readmission with HF in both cohorts. The ATE (95% CI) of all-cause mortality after 1 year was 5.8% (3.7%–7.8%) and 6.3% (0.9%–11.7%) for the primary cohort and secondary cohort, respectively. After 5 years, 286 (7.1%) and 42 (3.3%) of the eligible patients had received catheter ablation in the primary and secondary cohort, respectively, with the same selection towards younger age and fewer comorbidities, as seen in the 1-year landmark analyses (table 3).
Table 3

Patients eligible for 5-year landmark analysis

VariableAF before HFHF before AF
No-catheter ablation (n=3726)Catheter ablation (n=286)P valueNo-catheter ablation (n=1232)Catheter ablation (n=42)P value
Age median (IQR)70.8 (65.0–75.4)64.9 (58.5–69.6)<0.00170.3 (64.4–75.2)62.4 (56.2–68.3)<0.001
Sex male2732 (73.3)229 (80.1)0.015916 (74.4)29 (69.0)0.553
COPD612 (16.4)30 (10.5)0.011261 (21.2)3 (7.1)0.044
CKD295 (7.9)8 (2.8)0.002142 (11.5)3 (7.1)0.527
IHD1509 (40.5)107 (37.4)0.335687 (55.8)16 (38.1)0.035
DM971 (26.1)41 (14.3)<0.001362 (29.4)15 (35.7)0.476
HT3692 (99.1)286 (100.0)0.1981222 (99.2)42 (100.0)1.000
Outpatient1064 (28.6)67 (23.4)0.073433 (35.1)16 (38.1)0.819

The distribution of the predictor variables at the 5-year landmark.

AF, atrial fibrillation; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; DM, diabetes mellitus; HF, heart failure; HT, hypertension; IHD, ischaemic heart disease.

Patients eligible for 5-year landmark analysis The distribution of the predictor variables at the 5-year landmark. AF, atrial fibrillation; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; DM, diabetes mellitus; HF, heart failure; HT, hypertension; IHD, ischaemic heart disease. The ATE (95% CI) of catheter ablation on the composite endpoint was still significant, with 4.7% (2.3%–7.2%) in the primary cohort with an ATE (95% CI) of catheter ablation on all-cause mortality of 3.6% (1.0%—6.3%). Still, in the second cohort, a significant ATE was no longer observed 2.8% (−7.8% to 13.2%, figure 4).
Figure 4

Central illustration. ATE of catheter ablation on endpoints. In the 1-year analyses, 259 (3.1%) and 50 (1.6%) had an ablation in the primary and secondary cohort, respectively, this was 286 (7.1%) and 42 (3.3%) in the 5-year analyses. AF, atrial fibrillation; ATE, average treatment effect; HF, heart failure.

Central illustration. ATE of catheter ablation on endpoints. In the 1-year analyses, 259 (3.1%) and 50 (1.6%) had an ablation in the primary and secondary cohort, respectively, this was 286 (7.1%) and 42 (3.3%) in the 5-year analyses. AF, atrial fibrillation; ATE, average treatment effect; HF, heart failure.

Discussion

Main findings

In this nationwide study, we found a significant association between AF catheter ablation and a reduced risk of the composite endpoint of HF readmission, stroke and all-cause mortality. Five years after the index date, the effect of was attenuated, and AF catheter ablation was no longer associated with a reduced risk of HF readmission or stroke.

Real-life effect versus the clinical trial effect of catheter ablation in HF

In the CASTLE-AF trial, a 16.1% (28.5% vs 44.6%, p value=0.007) absolute risk reduction of death from any cause or hospitalisation for worsening HF was found with catheter ablation versus medical therapy after a median follow-up of 3 years.9 In our real-life study, we observed an estimated ATE of 7.0% after 2 years follow-up and 4.7% after 5 years in the primary cohort and 11.8% and 2.8% (non-significant) in the secondary cohort. Several factors may explain this discrepancy. Stroke was not included as an endpoint in the in CASTLE-AF study. The median age in CASTLE-AF was 64 years compared with 70 in our study, 86% were men compared with 74% in our cohort, and the number of patients with IHD was 46% in CASTLE-AF compared with 37% in our study. We included patients with HF with both preserved and reduced left ventricular ejection fraction and patients without an implantable cardioverter-defibrillator (ICD). In the CASTLE-AF study, only patients with HFrEF (HF with reduced ejection fraction) and ICD were included. In the CABANA trial, the primary endpoint was a composite of death, disabling stroke, severe bleeding or cardiac arrest. In the intention-to-treat analysis of the subgroup with congestive HF (15% of the total cohort), a non-significant 5.7% reduction of the primary endpoint occurred in the catheter ablation group (12.1% vs 17.8%, p value=NS) versus the medical therapy group over a median follow-up of 4 years.17 The findings in the CABANA trial are closer to the conclusions of our observational study, although we found a significant difference between the two groups. The median age in the trial was 68 years, with 62.8% men, so again the population differed in the study population with older and more men than in our study. These discrepant findings between the CABANA trial and our study could, therefore, be explained by both differences in cohort selection and difference in definition of endpoints.

Comorbidities and likelihood of catheter ablation in HF

Based on data from our administrative registries, we identified clinical variables associated with the probability of undergoing catheter ablation. Being a younger male without comorbidities with a previous admission for HF seems to be the phenotype that is most likely to receive this treatment in Denmark. Except for having HF diagnosed in-hospital, all variables associated with being ablated were also associated with a better outcome. This should be kept in mind when interpreting our analyses since confounding by indication can never be eliminated in an observational study. In theory, the real-life effect of catheter ablation maybe even smaller.

Methodological considerations

The strength of the present study is the inclusion of >10.000 consecutive patients ≤75 years of age, all treated with anticoagulation without anyone lost to follow-up during a long period. The rationale for the exclusion of patients >75 years was avoiding controls with a low likelihood of being offered AF catheter ablation.18 Investigating the two phenotypically different patient types AF before HF and HF before AF also contributes with new information regarding benefits of catheter ablation, since no significant difference in ATE was found between the two groups; hence our hypothesis regarding the larger benefit of catheter ablation in the AF before HF groups was not supported by the data. A high specificity of the used diagnostic codes in our registry and vital status on all patients are also strengths.12

Limitations

The present study is based on administrative codes and misclassification of HF and AF can, therefore, not be fully excluded. Further, important echocardiographic and clinical variables used for referral of patients with HF to AF ablation is neither available, and we were not able to differentiate between patients with HF and reduced versus preserved ejection fraction. Our results should be evaluated with that in mind. Unmeasured confounding due to lack of information on important clinical variables such as functional class, NT-proBNP and left ventricular ejection fraction—and residual confounding—for example, renal function is estimated based on a diagnostic code for CKD—cannot be excluded in our study. Information about the burden of AF after catheter ablation is also lacking, and if AF was paroxysmal, persistent, long-time persistent or permanent was unknown. We have no information on catheter ablation procedure details, reason for referral, nor on how they have changed over time at different centres. Finally, our study is observational, and our findings are associations and not necessarily due to causality. However, considering all the mentioned strengths of our study, the observed treatment effect size is biologically plausible. It may give a realistic real-life estimate of the effect of AF catheter ablation in HF.

Conclusions

Catheter ablation in patients with AF and HF was associated with reduced risk of a composite endpoint of HF readmission, stroke and all-cause mortality. This was true in both patients with AF before HF and HF before AF at 1 year after index date, respectively. Clinical outcome trials are needed to explore if these findings are causal.
  16 in total

1.  Estimates of absolute cause-specific risk in cohort studies.

Authors:  J Benichou; M H Gail
Journal:  Biometrics       Date:  1990-09       Impact factor: 2.571

2.  Radiofrequency ablation for persistent atrial fibrillation in patients with advanced heart failure and severe left ventricular systolic dysfunction: a randomised controlled trial.

Authors:  Michael R MacDonald; Derek T Connelly; Nathaniel M Hawkins; Tracey Steedman; John Payne; Morag Shaw; Martin Denvir; Sai Bhagra; Sandy Small; William Martin; John J V McMurray; Mark C Petrie
Journal:  Heart       Date:  2010-11-04       Impact factor: 5.994

3.  2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS.

Authors:  Paulus Kirchhof; Stefano Benussi; Dipak Kotecha; Anders Ahlsson; Dan Atar; Barbara Casadei; Manuel Castella; Hans-Christoph Diener; Hein Heidbuchel; Jeroen Hendriks; Gerhard Hindricks; Antonis S Manolis; Jonas Oldgren; Bogdan Alexandru Popescu; Ulrich Schotten; Bart Van Putte; Panagiotis Vardas
Journal:  Eur Heart J       Date:  2016-08-27       Impact factor: 29.983

Review 4.  Catheter ablation of atrial fibrillation in patients with concomitant left ventricular impairment: a systematic review of efficacy and effect on ejection fraction.

Authors:  Anand N Ganesan; Savvy Nandal; Jakob Lüker; Rajeev K Pathak; Rajiv Mahajan; Darragh Twomey; Dennis H Lau; Prashanthan Sanders
Journal:  Heart Lung Circ       Date:  2014-09-30       Impact factor: 2.975

5.  Rhythm control versus rate control for atrial fibrillation and heart failure.

Authors:  Denis Roy; Mario Talajic; Stanley Nattel; D George Wyse; Paul Dorian; Kerry L Lee; Martial G Bourassa; J Malcolm O Arnold; Alfred E Buxton; A John Camm; Stuart J Connolly; Marc Dubuc; Anique Ducharme; Peter G Guerra; Stefan H Hohnloser; Jean Lambert; Jean-Yves Le Heuzey; Gilles O'Hara; Ole Dyg Pedersen; Jean-Lucien Rouleau; Bramah N Singh; Lynne Warner Stevenson; William G Stevenson; Bernard Thibault; Albert L Waldo
Journal:  N Engl J Med       Date:  2008-06-19       Impact factor: 91.245

6.  Pulmonary-vein isolation for atrial fibrillation in patients with heart failure.

Authors:  Mohammed N Khan; Pierre Jaïs; Jennifer Cummings; Luigi Di Biase; Prashanthan Sanders; David O Martin; Josef Kautzner; Steven Hao; Sakis Themistoclakis; Raffaele Fanelli; Domenico Potenza; Raimondo Massaro; Oussama Wazni; Robert Schweikert; Walid Saliba; Paul Wang; Amin Al-Ahmad; Salwa Beheiry; Pietro Santarelli; Randall C Starling; Antonio Dello Russo; Gemma Pelargonio; Johannes Brachmann; Volker Schibgilla; Aldo Bonso; Michela Casella; Antonio Raviele; Michel Haïssaguerre; Andrea Natale
Journal:  N Engl J Med       Date:  2008-10-23       Impact factor: 91.245

7.  Temporal trends in atrial fibrillation recurrence rates after ablation between 2005 and 2014: a nationwide Danish cohort study.

Authors:  Jannik Langtved Pallisgaard; Gunnar Hilmar Gislason; Jim Hansen; Arne Johannessen; Christian Torp-Pedersen; Peter Vibe Rasmussen; Morten Lock Hansen
Journal:  Eur Heart J       Date:  2018-02-07       Impact factor: 29.983

8.  Effect of Catheter Ablation vs Antiarrhythmic Drug Therapy on Mortality, Stroke, Bleeding, and Cardiac Arrest Among Patients With Atrial Fibrillation: The CABANA Randomized Clinical Trial.

Authors:  Douglas L Packer; Daniel B Mark; Richard A Robb; Kristi H Monahan; Tristram D Bahnson; Jeanne E Poole; Peter A Noseworthy; Yves D Rosenberg; Neal Jeffries; L Brent Mitchell; Greg C Flaker; Evgeny Pokushalov; Alexander Romanov; T Jared Bunch; Georg Noelker; Andrey Ardashev; Amiran Revishvili; David J Wilber; Riccardo Cappato; Karl-Heinz Kuck; Gerhard Hindricks; D Wyn Davies; Peter R Kowey; Gerald V Naccarelli; James A Reiffel; Jonathan P Piccini; Adam P Silverstein; Hussein R Al-Khalidi; Kerry L Lee
Journal:  JAMA       Date:  2019-04-02       Impact factor: 56.272

Review 9.  Atrial fibrillation in heart failure: what should we do?

Authors:  Dipak Kotecha; Jonathan P Piccini
Journal:  Eur Heart J       Date:  2015-09-28       Impact factor: 29.983

Review 10.  The Danish National Patient Registry: a review of content, data quality, and research potential.

Authors:  Morten Schmidt; Sigrun Alba Johannesdottir Schmidt; Jakob Lynge Sandegaard; Vera Ehrenstein; Lars Pedersen; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2015-11-17       Impact factor: 4.790

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