Introduction
Atrial fibrillation (AF) is the most common arrhythmia with well-known association with heart failure (HF).1 Poorer prognosis in patients with both chronic HF and permanent AF is related to older age, multiple co-morbidities, and significant impairment of cardiac function compared with HF alone.2,3
Cardiac resynchronization therapy (CRT) is one of the most successful therapies for symptomatic and severe HF characterized by ventricular dysfunction and wide QRS. According to a recent survey of the European Society of Cardiology, 41% of patients undergoing CRT have history of AF and 47% of the cases are permanent AF.4 However, the benefit of CRT has not been completely assessed in patients with permanent AF, as the overwhelming majority of randomized controlled trials exclude this condition and the available data are conflicting.5–7 Observational studies point to comparable efficacy of CRT in AF and in sinus rhythm (SR) when optimal (>98%) CRT delivery is ensured.8,9 Furthermore, ventricular arrhythmias account for most deaths in HF with reduced ejection fraction, in contrast to HF with preserved ejection fraction,10 but the incremental benefit of CRT in the context of sudden death prevention with implantable defibrillators remains controversial. More clinical data are needed to clarify these controversial issues.
Methods
Objective and study design
We retrospectively analysed remote monitoring data in patients with CRT-D devices to compare outcomes according to the presence or absence of permanent AF at the time of device implantation. Analysis endpoints included total mortality, appropriate shocks for ventricular arrhythmias, and percentage of CRT delivery (CRT%), including biventricular pacing events and left-ventricular pacing triggered by right-ventricular sensed events. Data on device programming, diagnostics, and arrhythmic recordings were automatically transmitted on a daily basis and stored in the Home Monitoring Expert Alliance (HMEA) database, a nationwide repository of home monitoring (HM) data generated by cardiac implantable electronic devices during ordinary clinical practice.11
The present analysis was proposed by the first author and approved by the Executive Committee of the HMEA project. A total of 32 sites contributed to the data needed for this analysis. The HMEA project received approval by relevant Ethics Committees. Patients provided written informed consent before HMEA registration.
Patient selection and study procedures
Patients were included in the analysis if they had a CRT-D device with successfully implanted left ventricular lead, active HM transmissions, and either the biventricular or left ventricular-only pacing mode programmed.
The study cohort was divided into the AF and SR groups, according to baseline assessment. The AF group included patients with therapy-refractory AF for more than 12 months. The SR group included patients in sinus rhythm at implantation, either with or without history of AF, who received a device programmed with an atrial-tracking pacing mode. The AF group was further divided into subgroups of patients who received suboptimal (<98%) and adequate (≥98%) CRT% during follow-up.
Remote monitoring data were collected from implant to the last HM transmission or database freezing. Data on ventricular arrhythmias treated by shocks were reviewed by three electrophysiologists blinded to sites and patient characteristics, and adjudicated by majority vote after visual inspection of intracardiac electrograms (IEGMs) of remotely transmitted episodes. IEGM snapshots included pre-episode, detection, and post-therapy electrograms from atrial, right ventricular, and left ventricular or far-field (coil to case) electrodes. Shock delivery was classified as appropriate if it was triggered by a ventricular arrhythmia (tachycardia or fibrillation). Mortality data were based on clinical records after confirmation of persistent interruption of HM transmissions.
Statistics
Categorical variables are reported as absolute and relative frequencies using non-missing values. Continuous variables are reported as median (interquartile range). The Mann–Whitney U-test for continuous variables, and Pearson-χ2 or Fisher's exact tests for binary or categorical variables, were used to test differences between study groups. Mortality and incidence of appropriate shock were calculated with the product-limit method and reported with the 95% confidence interval (CI). Kaplan–Meier curves by study group were also generated.
We used the propensity score (PS) with the method of inverse probability of treatment weighting12 to minimize confounding effects in the comparisons between AF and SR groups. Specifically, weights were assigned to each patient basing on the inverse probability of belonging to the AF group. Variables used for weights comprised age, sex, ischaemic cardiomyopathy, hypertension, diabetes, chronic obstructive pulmonary disease, previous stroke or transient ischaemic attack, chronic kidney disease, history of ventricular arrhythmia, left ventricular ejection fraction, QRS duration, and drug therapy (beta-blockers, diuretics, angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers, and amiodarone). After PS weighting, AF versus SR hazard ratios (HRs) were estimated with univariate and multivariable proportional-hazard Cox regressions adjusted by age, sex, ischaemic cardiomyopathy and CRT%. The analysis was performed with the STATA version 11.1SE and the R Studio software version 4.0.3, with a significance level set at P = 0.05 in all tests.
Results
Study population and device programming
At the time of database freezing, there were 1226 patients implanted with a CRT-D device. Eighty-five (6.9%) patients were excluded because left ventricular lead was not implanted or HM transmissions were persistently unsuccessful or CRT pacing was switched off. The remaining 1141 CRT-D patients were included in the analysis and had a median follow-up of 24 (13–42) months. The SR and AF groups accounted for 912 (79.9%) and 229 (20.1%) subjects, respectively (Figure 1). Compared with SR patients, the AF group was older (77 [70–81] vs. 72 [65–78] years, P < 0.001), more frequently male (82.5% vs. 75.5%, P = 0.024), more frequently on anticoagulation therapy (82.5% vs. 31.1%, P < 0.001), and more often presenting with a (left ventricular dysfunction- or HF-related) CRT indication probably leading to a high right ventricular pacing burden (65% vs. 8%, P < 0.001) (Table 1). In the AF group, 87 patients (38.9%) received an atrial lead, and 5 patients (2.2%) had undergone atrio-ventricular node ablation at time of device implantation.
[IMAGE OMITTED. SEE PDF]
Table 1 Patient characteristics
All ( |
Permanent AF ( |
Sinus rhythm ( |
||
Demographics | ||||
Age, years | 73 (66–78) | 77 (70–81) | 72 (65–78) | <0.001 |
Female | 263 (23.1%) | 40 (17.5%) | 223 (24.5%) | 0.024 |
Cardiomyopathy | 0.084 | |||
ICM | 529 (46.4%) | 93 (40.7%) | 436 (47.8%) | - |
Non-ICM | 612 (53.6%) | 136 (59.3%) | 476 (52.2%) | - |
Co-morbidities | ||||
Hypertension | 618 (56.3%) | 117 (54.0%) | 501 (56.8%) | 0.500 |
Previous myocardial infarction | 327 (29.7%) | 49 (22.5%) | 278 (31.5%) | 0.197 |
Diabetes | 302 (27.5%) | 52 (24.0%) | 250 (28.3%) | 0.255 |
COPD | 159 (13.9%) | 28 (12.2%) | 131 (14.4%) | 0.464 |
Stroke/TIA | 88 (8.1%) | 9 (4.1%) | 79 (9.0%) | 0.030 |
Chronic kidney disease | 179 (16.3%) | 36 (16.8%) | 143 (16.2%) | 0.861 |
History of AF | - | - | 14.8% | - |
Secondary prevention of SCD | 108 (9.8%) | 22 (10.3%) | 86 (9.7%) | 0.787 |
NYHA class | 0.200 | |||
I–II | 647 (59.5%) | 114 (54.5%) | 533 (60.5%) | - |
III–IV | 443 (40.5%) | 95 (45.5%) | 348 (39.5%) | - |
Echocardiography and ECG | ||||
Left ventricular EF, % | 30 (25–34) | 30 (26–34) | 30 (25–33) | 0.420 |
<25 | 139 (12.7%) | 24 (11.5%) | 115 (12.9%) | - |
25–35 | 869 (78.9%) | 169 (79.7%) | 700 (78.7%) | - |
>35 | 94 (8.4%) | 19 (8.8%) | 75 (8.4%) | - |
Intrinsic QRS duration, ms | 140 (130–160) | 140 (130–155) | 142 (130–160) | 0.480 |
<120 | 87 (8.1%) | 15 (7.4%) | 72 (8.2%) | - |
120–129 | 110 (10.2%) | 17 (8.4%) | 93 (10.6%) | - |
130–149 | 426 (38.9%) | 99 (47.4%) | 327 (37.2%) | - |
150–179 | 377 (34.9%) | 55 (26.3%) | 322 (36.6%) | - |
>180 | 86 (7.9%) | 22 (10.5%) | 66 (7.4%) | - |
Intrinsic QRS morphology | <0.001 | |||
LBBB | 566 (50.6%) | 81 (36.6%) | 485 (53.9%) | - |
Non-LBBB | 554 (49.4%) | 140 (63.4%) | 414 (46.1%) | - |
Third-degree AV block | 50 (4.4%) | 13 (5.7%) | 37 (4.1%) | 0.360 |
Clinical indication for CRT | <0.001 | |||
HF with wide QRS | 775 (63.8%) | 80 (34.9%) | 695 (76.2%) | - |
HF or LVD and expected high RV% | 225 (25.3%) | 149 (65.1%) | 76 (8.3%) | - |
Other | 141 (10.9%) | 0 (0%) | 141 (15.6%) | - |
CHA2DS2-VASc score | 4 (3–5) | 4 (3–5) | 4 (3–5) | 0.592 |
1 | 48 (4.4%) | 12 (5.7%) | 36 (4.1%) | - |
2 | 164 (14.9%) | 23 (10.7%) | 141 (16.0%) | - |
3 | 2787 (25.3%) | 57 (26.4%) | 221 (25.0%) | - |
4 | 310 (28.2%) | 58 (27.0%) | 252 (28.5%) | - |
≥5 | 298 (27.2%) | 65 (30.2%) | 233 (26.4%) | - |
Medications | ||||
Beta-blocker | 857 (78.1%) | 161 (76.4%) | 696 (78.5%) | 0.563 |
Digoxin | 97 (8.5%) | 46 (22.0%) | 51 (5.6%) | <0.001 |
Diuretic | 897 (81.7%) | 166 (78.6%) | 731 (82.5%) | 0.240 |
ACE/ARB | 726 (66.1%) | 135 (63.8%) | 591 (66.7%) | 0.472 |
Anticoagulant | 450 (40.3%) | 174 (82.4%) | 276 (31.1%) | <0.001 |
Antiplatelet agent | 484 (44.4%) | 54 (25.4%) | 430 (48.5%) | <0.001 |
Amiodarone | 149 (13.6%) | 23 (11.1%) | 126 (14.2%) | 0.294 |
Device programming | ||||
Basic rate | 60 (60–70) | 70 (60–75) | 60 (60–60) | <0.001 |
Rate-adaptive pacing mode | 335 (29.4%) | 154 (67.3%) | 181 (19.9%) | <0.001 |
Follow-up period, months | 24 (13–42) | 23 (13–40) | 24 (12–43) | 0.517 |
Device programming was set according to routine care, with a higher basic rate (70 [60–75] b.p.m. vs. 60 [60–60] b.p.m., P < 0.001) and a more frequent activation of rate responsive function (67.3% vs. 19.9%, P < 0.001) in the AF than in the SR group. Tachycardia detection programming did not differ between groups and showed limited inter-individual variability: ventricular fibrillation zone cut-off was programmed to 300 ms in roughly 80% of patients, and ventricular tachycardia zone cut-off to 370 ms in roughly 75% of patients. In all patients, defibrillation shocks were preceded by antitachycardia pacing therapy attempts: one attempt in the fastest zones and at least three attempts in slower zones.
Compared with the SR group, the AF group had higher mean 24 h heart rate (75.7 [71.7–81.9] vs. 71.0 [65.7–76.5] b.p.m., P < 0.001) and lower CRT% (96.0 [90.3–98.6] vs. 98.8 [95.4–99.9], P < 0.001) (Table 2). Adequate CRT% (≥98%) was observed in only 29.3% of AF patients (n = 67), suboptimal CRT% (<98%) in 70.7% (n = 162), and low CRT% (<90%) in 24.4% (n = 56).
Table 2 Device diagnostics by study groups
All | Permanent AF | Sinus rhythm | ||
Atrial pacing percentage, % | 18.1 (2.2–53.4) | 0 (0–0) | 18.1 (2.2–53.4) | <0.001 |
CRT pacing percentage, % | 98.5 (94.2–99.8) | 96.0 (90.3–98.6) | 98.8 (95.4–99.9) | <0.001 |
Biventricular pacing percentage, % | 97.7 (89.8–99.6) | 86.4 (60.0–96.5) | 98.5 (93.9–99.8) | <0.001 |
Mean 24 h heart rate, b.p.m. | 71.9 (66.7–77.8) | 75.7 (71.7–81.9) | 71.0 (65.7–76.5) | <0.001 |
In the SR group, the median percentage of atrial pacing was 18.1% (2.2%–53.4%). The effect of rate-adaptive pacing on mean heart rate was marginal both in the SR group (71 [66–77] b.p.m. with vs. 72 [67–76] b.p.m. without rate-adaptive pacing, P = 0.294), and in the AF group (75 [71–81] vs. 76 [72–83] b.p.m., P = 0.158).
Propensity score weighting for outcome analysis
After PS weighting, absolute standardized mean differences between AF and SR groups were ≤0.1 for all matching variables (Figure 2). During a median follow-up of 24 (13–42) months, 107 (9.4%) deaths were reported: 27 (11.8%) in the AF group and 80 (8.8%) in the SR group, with no significant difference (univariate PS-weighted HR 1.32 [95% CI, 0.82–2.15], P = 0.255). Overall, 1 and 4 year mortality rates were 2.6% (95% CI, 1.8%–3.8%) and 13.4% (95% CI, 10.8%–16.6%) (Table 3 and Figure 3).
[IMAGE OMITTED. SEE PDF]
Table 3 Incidence of all-cause mortality and appropriate shocks by study groups
Time from implant (years) | ||||
1 | 2 | 3 | 4 | |
Appropriate shock | ||||
All | 7.4 (5.9–9.2) | 11.8 (9.8–14.1) | 16.1 (13.5–19.0) | 19.5 (16.4–23.1) |
AF group | 13.1 (9.2–18.5) | 22.1 (16.6–29.1) | 28.9 (22.0–37.4) | 34.3 (26.0–44.5) |
SR group | 5.9 (4.5–7.8) | 9.2 (7.3–11.6) | 12.9 (10.4–16.0) | 15.9 (12.7–19.7) |
Univariate PS-weighted HR (95% CI) | 2.23 (1.55–3.22), P < 0.001 | |||
Multivariate PS-weighted HR (95% CI) | 1.79 (1.15–2.78), P = 0.010 | |||
Covariates | ||||
Age | 1.00 (0.98–1.03), P = 0.670 | |||
Female | 0.52 (0.25–1.09), P = 0.085 | |||
ICM | 1.11 (0.71–1.73), P = 0.638 | |||
CRT pacing percentage | 0.99 (0.98–1.00), P = 0.059 | |||
All-cause mortality | ||||
All | 2.6 (1.8–3.8) | 6.4 (4.9–8.2) | 11.0 (8.8–13.6) | 13.4 (10.8–16.6) |
AF group | 2.9 (1.3–6.3) | 8.2 (4.9–13.5) | 13.4 (8.5–20.6) | 15.0 (9.6–23.1) |
SR group | 2.6 (1.7–3.9) | 5.9 (4.4–8.0) | 10.4 (8.0–13.3) | 13.0 (10.2–16.6) |
Univariate PS-weighted HR (95% CI) | 1.32 (0.82–2.15), P = 0.255 |
[IMAGE OMITTED. SEE PDF]
Appropriate shocks for ventricular arrhythmias were delivered in 50 patients in the AF group (21.8%) and in 95 patients in the SR group (10.4%), with a 79% increased risk in the AF versus SR group (multivariate PS-weighed HR 1.79 [95% CI, 1.15–2.78], P = 0.01) (Table 3). AF patients who experienced appropriate shocks had similar mean heart rate to AF patients who did not receive shocks (74.0 [71.3–80.1] b.p.m. vs. 75.9 [71.7–82.5] b.p.m., P = 0.476), but had lower CRT% (94.9 [86.5–97.7] vs. 96.2 [90.3–98.9], P = 0.048). The incidence of appropriate shocks in the AF group with adequate CRT% (≥98%) did not differ significantly from the incidence in the SR group (PS-weighted HR 1.29 [95% CI, 0.66–2.53], P = 0.455); conversely, AF patients with suboptimal CRT% (<98%) had a twofold increased risk of appropriate shocks compared with the SR patients (multivariate PS-weighted HR, 1.99 [95% CI, 1.21–3.26), P = 0.006). Comparisons are displayed in Figure 4.
[IMAGE OMITTED. SEE PDF]
Inappropriate shocks were delivered in 94 patients: 21 in the AF group (9.2%) and 73 in the SR group (8.0%), with no significant difference between groups (multivariate PS-weighed HR 1.28 [95% CI, 0.62–2.61], P = 0.50). Causes of inappropriate therapy delivery were supraventricular arrhythmias with high ventricular rate (38.3%), electrical noise (38.3%), and T-wave oversensing (23.4%).
Crossover of device programming
During follow-up, sinus rhythm was recovered in 23 patients in the AF group (10%) after a median time of 106 (42–256) days after implantation (recovery was induced by a shock delivery in 4 patients). Twelve patients in this subgroup had already received an atrial lead at implant; in the remaining 11 patients an atrial lead was added after rhythm conversion. All devices were reprogrammed to a dual-chamber atrial tracking pacing mode. Overall, the rate of sinus rhythm recovery was 4.5 (95% CI, 2.8–6.7) per 100 patient-years. On the other hand, 55 patients in the SR group (6.0%) developed permanent AF with a rate of 2.5 (95% CI, 1.9–3.3) per 100 patient-years. Devices were reprogrammed to a ventricular pacing mode. In the SR group, the median AF burden was 0.94% (0%–2.4%).
Discussion
Our analysis showed that (i) about 20% of patients undergoing CRT-D implantation have permanent AF in ordinary medical practice; (ii) survival in the AF and SR groups was similar, although over 70% of patients in the AF group did not achieve adequate CRT% and exhibited relatively high 24 h heart rates (median, 76 b.p.m.); (iii) patients with permanent AF and suboptimal CRT% had a twofold increased risk of appropriate shocks, but those who achieved CRT% > 98% had a comparable risk of ventricular arrhythmias to the SR patients; (iv) the rate at which sinus rhythm was restored in the AF patients was almost twice the rate at which the SR patients developed permanent AF during follow-up.
The 2016 European Society of Cardiology Guidelines for the Diagnosis and Treatment of Acute and Chronic Heart Failure provide a IIa class recommendation for CRT implantation in AF patients with a left ventricular ejection fraction ≤35%, NYHA Class III-IV, and QRS duration ≥130 ms, but the emphasis is placed on rate control.13 The results of our analysis are in line with this recommendation and additionally, show that the known antiarrhythmic effects of cardiac resynchronization14 are also prominent in patients with permanent AF, as long as adequate CRT% is maintained. As ventricular arrhythmias are the prevalent mode of death in HF patients with reduced ejection fraction in contrast to HF patients with preserved ejection fraction,10 our finding may explain the uncertain results obtained in past randomized trials in CRT patients with permanent AF and implantable defibrillators6: if suboptimal CRT% is delivered, the contribution to prevention of ventricular arrhythmias from CRT is lost, but arrhythmic death is still suppressed by automatic defibrillation; conversely, when adequate CRT% is ensured, prevention of ventricular arrhythmias (and consequent reduction of shock deliveries and their negative effects on survival and quality of life) add to the benefit of ventricular remodelling and pump function recovery.
The 98% cut-off value for adequate CRT% has already been established in previous analyses.9,15 Consistently with other real-world data,16 the median CRT% was 96% in the AF group of our cohort, significantly lower than in the SR group. This finding confirms that there is still room for improvement. In a previous large observational study, Gasparini et al.8 had shown similar outcomes for CRT between patients in sinus rhythm and patients with permanent AF undergoing atrioventricular node ablation to ensure 100% CRT. Unlike our analysis, this study found a significantly lower survival even in early follow-up period in the group of patients with permanent AF treated with rate-slowing drugs. However, the 30% of devices without defibrillation function and the CRT% of 87% achieved in this group, which is remarkably lower than in our cohort, likely explain higher mortality and lend support to the central importance of adequate CRT%. Therefore, the need of achieving adequate CRT% in patients with AF is even stronger if physicians do not opt for defibrillation back-up during CRT system implantation.
According to current guidelines, medical treatment must be optimized before CRT implantation regardless of pacing therapy. In our routine-care cohort, we observed a higher median basic pacing rate in the AF group compared with the SR group (70 vs. 60 b.p.m.). The difference is clearly related to an attempt to maximize the CRT%, but it is probably responsible for higher mean heart rate found in the AF group despite similar rate-slowing drug therapy. The use of rate-responsiveness was more frequent in the AF group compared with the SR group (67.3% vs 19.9%), but the effect on mean heart rate was negligible, suggesting that rate-responsive sensors are unable to modulate heart rate effectively in HF patients who are nearly or totally inactive.
In the AF group, sinus rhythm recovery occurred in 10% of patients, in line with a previous observation17 and more frequently than permanent AF developed in the SR group. Ventricular remodelling may be at the origin of the sinus rhythm restoration and could facilitate a rhythm control strategy.18 Recently, a high rate of sinus rhythm conversion and maintenance was reported in a cohort of 328 CRT patients, 44% of whom were found in sinus rhythm at 5 year follow-up despite long-lasting persistent AF in all patients at the time of device implantation.19 These data raise the question of whether it is appropriate to implant the atrial lead despite overt permanent AF at CRT implantation. Assessing whether the risk of complications related to an apparently useless lead is balanced by the chance of spontaneous sinus rhythm recovery, may not be an easy task. From this perspective, another option worth considering is a recently introduced CRT system based on a single-pass defibrillator lead with a floating atrial dipole,20,21 which may ensure immediate atrial tracking in case of unexpected sinus rhythm recovery.
Limitations
This is a retrospective analysis with well-known limitations associated with selection biases. However, the use of inverse-probability PS in the analysis allowed to reduce the effects of confounders in the study group comparisons. The observational design is a major strength, as data were generated in ordinary practice and results reflect common attitudes of clinicians. Follow-up data were retrieved remotely from devices which ensured robust consistency of device data relative to study endpoints (device diagnostics, delivered shocks, heart rhythm, and survival). However, changes in medical therapy during follow-up, hospitalizations in other clinics, or other surgical or medical procedures, including AF or atrio-ventricular node ablation, could not be tracked with the same efficiency. Finally, fusion or pseudofusion beats may have caused an overestimation of actual CRT% values.22
Conclusions
In a multicentre registry of routine remote monitoring data from HF patients with CRT-D devices, survival of patients with permanent AF did not differ from survival of patients in sinus rhythm. However, the incidence of appropriate shocks for ventricular arrhythmias was significantly higher in the AF subgroup with suboptimal CRT%. The rate of spontaneous sinus rhythm recovery was nearly twice higher than the rate of permanent AF development in SR patients. These findings confirm the antiarrhythmic effect of CRT and reinforce the recommendation of careful rate control in AF patients undergoing CRT implantation.
Acknowledgements
The authors thank Giorgio Di Lauro, Sebastiano Lavorgna, and all field engineers of BIOTRONIK Italia for continuous technical support; Dejan Danilovic and Alessandro Capucci for accurate text revision and scientific advice; and all sites that participated in this initiative.
Conflict of interest
D.G. and A.G. are employees of BIOTRONIK Italia. All the remaining authors have no conflicts of interest to disclose.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Maisel WH, Stevenson LW. Atrial fibrillation in heart failure: epidemiology, pathophysiology, and rationale for therapy. Am J Cardiol 2003; 91: 2d–8d.
Swedberg K, Olsson LG, Charlesworth A, Cleland J, Hanrath P, Komajda M, Metra M, Torp‐Pedersen C, Poole‐Wilson P. Prognostic relevance of atrial fibrillation in patients with chronic heart failure on long‐term treatment with betablockers: results from COMET. Eur Heart J 2005; 26: 1303–1308.
Hoppe UC, Casares JM, Eiskjær H, Hagemann A, Cleland JG, Freemantle N, Erdmann E. Effect of cardiac resynchronization on the incidence of atrial fibrillation in patients with severe heart failure. Circulation 2006; 114: 18–25.
Dickstein K, Normand C, Auricchio A, Bogale N, Cleland JG, Gitt AK, Stellbrink C, Anker SD, Filippatos G, Gasparini M, Hindricks G, Blomström Lundqvist C, Ponikowski P, Ruschitzka F, Botto GL, Bulava A, Duray G, Israel C, Leclercq C, Margitfalvi P, Cano Ó, Plummer C, Sarigul NU, Sterlinski M, Linde C. CRT Survey II: a European Society of Cardiology survey of cardiac resynchronisation therapy in 11 088 patients‐who is doing what to whom and how? Eur J Heart Fail 2018; 20: 1039–1051.
Leclercq C, Walker S, Linde C, Clementy J, Marshall AJ, Ritter P, Djiane P, Mabo P, Levy T, Gadler F, Bailleul C, Daubert JC. Comparative effects of permanent biventricular and right‐univentricular pacing in heart failure patients with chronic atrial fibrillation. Eur Heart J 2002; 23: 1780–1787.
Healey JS, Hohnloser SH, Exner DV, Birnie DH, Parkash R, Connolly SJ, Krahn AD, Simpson CS, Thibault B, Basta M, Philippon F, Dorian P, Nair GM, Sivakumaran S, Yetisir E, Wells GA, Tang AS, RAFT Investigators. Cardiac resynchronization therapy in patients with permanent atrial fibrillation: results from the Resynchronization for Ambulatory Heart Failure Trial (RAFT). Circ Heart Fail 2012; 5: 566–570.
Kalscheur MM, Saxon LA, Lee BK, Steinberg JS, Mei C, Buhr KA, DeMets DL, Bristow MR, Singh SN. Outcomes of cardiac resynchronization therapy in patients with intermittent atrial fibrillation or atrial flutter in the COMPANION trial. Heart Rhythm 2017; 14: 858–865.
Gasparini M, Leclercq C, Lunati M, Landolina M, Auricchio A, Santini M, Boriani G, Lamp B, Proclemer A, Curnis A, Klersy C, Leyva F. Cardiac resynchronization therapy in patients with atrial fibrillation: the CERTIFY study (Cardiac Resynchronization Therapy in Atrial Fibrillation Patients Multinational Registry). JACC Heart Fail 2013; 1: 500–507.
Ousdigian KT, Borek PP, Koehler JL, Heywood JT, Ziegler PD, Wilkoff BL. The epidemic of inadequate biventricular pacing in patients with persistent or permanent atrial fibrillation and its association with mortality. Circ Arrhythm Electrophysiol 2014; 7: 370–376.
Vaduganathan M, Patel RB, Michel A, Shah SJ, Senni M, Gheorghiade M, Butler J. Mode of death in heart failure with preserved ejection fraction. J Am Coll Cardiol 2017; 69: 556–569.
Zanotto G, D'Onofrio A, Della Bella P, Solimene F, Pisanò EC, Iacopino S, Dondina C, Giacopelli D, Gargaro A, Ricci RP. Organizational model and reactions to alerts in remote monitoring of cardiac implantable electronic devices: a survey from the Home Monitoring Expert Alliance project. Clin Cardiol 2019; 42: 76–83.
Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar Behav Res 2011; 46: 399–424.
Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JGF, Coats AJS, Falk V, González‐Juanatey JR, Harjola VP, Jankowska EA, Jessup M, Linde C, Nihoyannopoulos P, Parissis JT, Pieske B, Riley JP, Rosano GMC, Ruilope LM, Ruschitzka F, Rutten FH, van der Meer P, ESC Scientific Document Group. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J 2016; 37: 2129–2200.
Cleland JG, Daubert JC, Erdmann E, Freemantle N, Gras D, Kappenberger L, Tavazzi L. The effect of cardiac resynchronization on morbidity and mortality in heart failure. N Engl J Med 2005; 352: 1539–1549.
Hayes DL, Boehmer JP, Day JD, Gilliam FR III, Heidenreich PA, Seth M, Jones PW, Saxon LA. Cardiac resynchronization therapy and the relationship of percent biventricular pacing to symptoms and survival. Heart Rhythm 2011; 8: 1469–1475.
Boriani G, Gasparini M, Landolina M, Lunati M, Proclemer A, Lonardi G, Iacopino S, Rahue W, Biffi M, DiStefano P, Grammatico A, Santini M, ClinicalService cardiac centres. Incidence and clinical relevance of uncontrolled ventricular rate during atrial fibrillation in heart failure patients treated with cardiac resynchronization therapy. Eur J Heart Fail 2011; 13: 868–876.
Gasparini M, Steinberg JS, Arshad A, Regoli F, Galimberti P, Rosier A, Daubert JC, Klersy C, Kamath G, Leclercq C. Resumption of sinus rhythm in patients with heart failure and permanent atrial fibrillation undergoing cardiac resynchronization therapy: a longitudinal observational study. Eur Heart J 2010; 31: 976–983.
Turco P, D'Onofrio A, Stabile G, Solimene F, La Rocca V, Vecchione F, Iuliano A, Marrazzo N, De Vivo S, Cavallaro C, Bianchi V. Feasibility and efficacy of electrical cardioversion after cardiac resynchronization implantation in patients with permanent atrial fibrillation. J Interv Card Electrophysiol 2012; 35: 331–336.
Ziegelhoeffer T, Pecha S, Rahmani R, Thaqi N, Ackermann X, Hakmi S, Choi YH, Burger H. Probability of sinus rhythm conversion and maintenance in cardiac resynchronization therapy patients with atrial fibrillation during 5‐year follow‐up. J Cardiovasc Electrophysiol 2020; 31: 2393–2402.
Shaik NA, Drucker M, Pierce C, Duray GZ, Gillett S, Miller C, Harrell C, Thomas G. Novel two‐lead cardiac resynchronization therapy system provides equivalent CRT responses with less complications than a conventional three‐lead system: results from the QP ExCELs lead registry. J Cardiovasc Electrophysiol 2020; 31: 1784–1792.
Biffi M, Iori M, De Maria E, Bolognesi MG, Placci A, Calvi V, Allocca G, Ammendola E, Carinci V, Boggian G, Saporito D. The role of atrial sensing for new‐onset atrial arrhythmias diagnosis and management in single‐chamber implantable cardioverter‐defibrillator recipients: Results from the THINGS registry. J Cardiovasc Electrophysiol 2020; 31: 846–853.
Hernández‐Madrid A, Facchin D, Klepfer RN, Ghosh S, Matía R, Moreno J, Locatelli A. Device pacing diagnostics overestimate effective cardiac resynchronization therapy pacing results of the hOLter for efficacy analysis of CRT (OLÉ CRT) study. Heart Rhythm 2017; 14: 541–547.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2021. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Aims
There are conflicting data on the benefit of cardiac resynchronization therapy (CRT) in heart failure (HF) patients with permanent atrial fibrillation (AF). We aimed to compare patient outcomes according to the presence or absence of permanent AF at device implantation.
Methods and results
We retrospectively analysed remote monitoring data from 1141 CRT defibrillators. Propensity score with inverse‐probability weighting method was used to balance AF and sinus rhythm (SR) groups. Analysis endpoints included total mortality, appropriate defibrillation shocks, and CRT percentage. There were 229 patients (20.1%) in the AF group and 912 patients (79.9%) in the SR group. Compared with SR patients, AF patients were older (median age, 77 vs. 72 years, P < 0.001), more frequently male (82.5% vs. 75.5%, P = 0.02), and had higher heart rate (75.7 vs. 71.0 b.p.m., P < 0.001). Of the 229 AF patients, 162 (70.7%) received suboptimal CRT (<98%) and 67 (29.3%) had adequate CRT (≥98%). During a median follow‐up of 24 months, total mortality did not differ between AF and SR groups (propensity‐score‐weighted hazard ratio, HR 1.32 [95% confidence interval, 0.82–2.15], P = 0.25). The risk of appropriate shocks was significantly higher in the AF group with <98% CRT than in the SR group (weighted‐HR, 1.99 [1.21–3.26], P = 0.006) and was similar in the AF group with ≥98% CRT versus the SR group (1.29 [0.66–2.53], P = 0.45). During follow‐up, sinus rhythm was recovered in 23 patients in the AF group (10%) after a median time of 106 (42–256) days. The rate of sinus rhythm recovery in the AF group was 4.5 (95% CI, 2.8–6.7) per 100 patient‐years; the rate of permanent AF occurrence in the SR group was 2.5 (95% CI, 1.9–3.3) per 100 patient‐years.
Conclusions
Although mortality was similar across patient groups, patients with permanent AF and suboptimal CRT had twofold higher risk of appropriate shocks than SR patients or AF patients with CRT ≥ 98%.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details







1 Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy
2 Villa Maria Care & Research, Cotignola, Italy
3 Ospedale Monaldi, Naples, Italy
4 Spedali Civili, Brescia, Italy
5 Ospedale Vito Fazzi, Lecce, Italy
6 Policlinico Sant'Orsola‐Malpighi, Bologna, Italy
7 IRCCS San Raffaele Scientific Institute, Milan, Italy
8 Ospedali Riuniti, Ancona, Italy
9 ASST dei sette laghi, Ospedale di Circolo, Varese, Italy
10 Ospedale Mater Salutis, Legnago, Italy
11 Policlinico G. Rodolico, Az. O.U. Policlinico ‐ V. Emanuele, Catania, Italy
12 Ospedale San Gerardo, Monza, Italy
13 Ospedale di Ciriè, Ciriè, Italy
14 Ospedale di Mantova, Mantova, Italy
15 Gemelli Molise Hospital, Campobasso, Italy
16 Ospedale Maria Vittoria, Torino, Italy
17 Azienda Ospedaliera Pugliese Ciaccio, Catanzaro, Italy
18 IRCCS Neurolesi‐Ospedale Piemonte, Messina, Italy
19 Ospedale di Desio, Desio, Italy
20 Fondazione Toscana Gabriele Monasterio, Pisa, Italy
21 Humanitas Gavazzeni, Bergamo, Italy
22 Ospedale “Ferrari”, Castrovillari, Italy
23 AOR Villa Sofia‐Cervello P.O. Cervello, Palermo, Italy
24 Ospedale di Grosseto, Grosseto, Italy
25 University of Ferrara, S. Anna Hospital, Ferrara, Italy
26 University of Campania “Luigi Vanvitelli,” Monaldi Hospital, Naples, Italy
27 Biotronik Italia S.p.a., Vimodrone, Italy, University of Padova, Padova, Italy
28 Biotronik Italia S.p.a., Vimodrone, Italy