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229

higher heart rate during Control significantly reduced the increase in %eCRT with the algorithm

230

(p<0.05). Finally, having paroxysmal AF (as opposed to persistent or permanent AF) significantly

231

increased the likelihood of a greater increase in %eCRT with the algorithm (p<0.01). None of the

232

other factors considered had a significant effect.

 

 

 

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Acute testing data were available from 42 subjects comparing no algorithm to CAFR and from 39

234

subjects comparing no algorithm to eCRTAF. CAFR increased %eCRT pacing from 66±35% (no

 

 

 

 

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algorithm) to 79±20% (p<0.001). eCRTAF increased %eCRT pacing from 67±37% (no algorithm) to

236

87±17% eCRT pacing (p<0.001). Although these tests were brief, the acute results for CAFR (79±21%)

237

and eCRTAF (87±16%) are consistent with the primary results of the study (81±14% for CAFR/Control

238

and 88±8% for eCRTAF).

 

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239

Safety

 

 

 

240

The algorithm performed as expected and did not result in any unexpected device issues. There

241

were 7 cardiovascular (CV) related adverse events (AEs) during eCRTAF and 3 during CAFR (p=0.37).

242

AEs included shortness of breath (N=4), hypotension (N=2), ICD shock for rapidly conducted AF

 

 

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243

(N=1), fatigue (N=1), and ventricular arrhythmia (N=2). None of the AEs that occurred during the

244

study were adjudicated to be related to either the algorithm or any increase in pacing rate.

246

Discussion

 

 

 

247

On average, the eCRTAF algorithm resulted in a 7% absolute increase in eCRT pacing and %Vp during

248

AF while increasing the mean heart rate by 2.5 bpm. The algorithm had an even greater effect in

249

subjects with lower %Vp during AF while in the Control arm.

 

 

250

There are two algorithms currently available in CRT devices to increase pacing during AF but both

 

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251

were designed for and tested in a bradycardia pacemaker population. Ventricular Rate

 

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Regularization (VRR, Boston Scientific, Inc.), has not been evaluated in a CRT patient population;

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however in a pacemaker population with AF, the algorithm was shown to increase %Vp from 38% to

254

58%.7 The rate regularization algorithm in Medtronic devices (CAFR) was used as the control in this

 

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255study. On average, CAFR achieved 80.8±14.3% eCRT pacing and 83.2±11.9% Vp during AF. There are

256very limited data for delivery of CRT during AF in CRT patients without such an algorithm. Based on

257the limited acute data from this study, the eCRTAF algorithm may produce large increases in %Vp

258and %eCRT when compared to patients without a rate regularization algorithm.

259Although there are data on the optimal %Vp for CRT during AF, there are no similar dataTfor %eCRT

260during AF. Because each beat classified as effective CRT is a V pace beat byCRIPdefinition, loss of %eCRT

261will be at least as clinically important as the loss of %Vp. However, establishing a %eCRT threshold

262for optimal CRT will require additional clinical data.

263It has been demonstrated in several retrospective analyses that small decreases in %Vp (1-3%) are

264associated with a significant increase in mortality.1MANUS-3 Koplan et al. showed that a decrease of as little

265as 1-4 % in V pacing was associated with a significant negative impact on survival free from HF

266hospitalization and all-cause mortality.2 In addition, a history of AF was a significant independent

267predictor of mortality in CRT patients. Hayes et al. also showed in a retrospective study of over

26836,000 CRT patients that a reduction from 1-5% in Vpacing was associated with increased mortality.

269Their analysis alsoACCEPTEDshowed AF had an additive negative effect on mortality.1 The magnitude of the

270increase in %Vp in the current study (7%) suggests that this algorithm could have a significant clinical

271benefit in CRT patients with high AF burden.

272The multi-variate analysis suggests that the biggest impact of the algorithm may be in patients with

273paroxysmal AF although the small number of subjects (N=5) makes it difficult to extrapolate these

274results. This is, however, a plausible correlation as a retrospective analysis of over 12,000 CRT

275subjects with AF demonstrated that those with paroxysmal AF saw the greatest drop in %Vp during

276AF compared to persistent or permanent AF.8 Since low %Vp during AF was also a strong predictor of

277response in the multivariate analysis, its correlation with paroxysmal AF provides an explanation for

278why this group may see the largest effect.

279Our data show that with the eCRTAF algorithm, 5 subjects improved from <90% to >90% eCRT and

280an additional 5 subjects improved from <95% to >95% eCRT. Moreover, in the cohort receiving <80

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281%Vp during Control, the algorithm improved %eCRT by a mean of 16%. The ability to deliver more

282eCRT during AF may lead to better resynchronization and consequently reduce heart failure

283symptoms. AV junctional ablation (AVJA) is associated with improved outcomes in observational

284trials of patients with permanent AF who did not experience clinical improvement and/or an

285adequate biventricular pacing percentage with rate limiting drugs,9-13 but there are no randomizedT

286controlled trials of AVJA for this indication. The eCRTAF algorithm has theCRIPpotential to increase

287biventricular capture during AF without AVJA . This could improve outcomes in patients not

288previously known to have AF and avoid the need for AVJA in others by achieving high rates of

289biventricular capture. It may also help to identify others for whom AVJA is the only appropriate way

290to achieve sufficient biventricular capture. MANUS

291When considering the applicability of this algorithm to the general CRT patient population, it is

292important to keep in mind that, while most CRT patients do not have AF at initial implant, many will

293develop AF over the course of their disease. A recent retrospective analysis by Hayes et al. suggests

294that as many as 30% of CRT patients will experience clinically significant AF (≥1 day of AT/AF for > 6

295hours) within 2ACCEPTEDyears of implant.14

296Because the eCRTAF algorithm involves additional processing, the impact on device longevity may be

297a concern. According to the manufacturer, a patient with permanent AF (worse-case scenario) will

298experience a 2-3% decrease in device longevity. A 2.5 BPM increase in pacing rate will have an

299additional 1-2% impact on device longevity.

300Limitations

301The majority of the subjects included in this study had permanent or persistent AF. Given the small

302number of paroxysmal AF subjects in the study, additional clinical data is needed to confirm the

303preliminary findings about the algorithm behavior in this group. In addition, the comparison of the

304new algorithm to a control of no rate regularization algorithm at all was only done with a small acute

305dataset. The difference in a chronic ambulatory setting remains to be determined.

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It is possible that greater variation in RR intervals during AF or an increased number of premature ventricular contractions was associated with lower %VP but this information was not collected in this study. It is also possible that the algorithm would be more effective during regular tachycardias such as atrial flutter, but this study was unable to evaluate this possibility.

 

 

 

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Finally, this study did not evaluate long-term clinical events and, therefore, additional investigation is

 

 

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needed to demonstrate whether or not a higher %eCRT pacing would result in improved clinical

outcomes.

 

 

 

Conclusion

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In a cohort of CRT subjects with high AF burden, eCRTAF was shown to significantly increase the % eCRT pacing during AF from 80.8% to 87.8% (p<0.001) and %Vp during AF from 83.2% to 90.0%

(p<0.001) while increasing the mean HR by an average of 2.5 bpm (p<0.001). Given the significant proportion of CRT patients that will develop AF over their disease course, this algorithm could represent a non-invasive, low risk strategy to increase CRT delivery during AF, potentially improving

CRT response and preventing adverse outcomes.

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321References

3221. Hayes DL, Boehmer JP, Day JD, Gilliam Iii FR, Heidenreich PA, Seth M, Jones PW, Saxon LA.

323Cardiac resynchronization therapy and the relationship of percent biventricular pacing to

324symptoms and survival. Heart Rhythm 2011;8:1469-1475.

3252. Koplan BA, Kaplan AJ, Weiner S, Jones PW, Seth M, Christman SA. Heart Failure

326Decompensation and All-Cause Mortality in Relation to Percent Biventricular Pacing in

327Patients With Heart Failure: Is a Goal of 100% Biventricular Pacing Necessary? JournalT of the

328American College of Cardiology 2009;53:355-360.

3293. Ruwald A-C, Kutyifa V, Ruwald MH, et al. The association between biventricular pacing and

330cardiac resynchronization therapy-defibrillator efficacy when comparedCRIPwith implantable

331cardioverter defibrillator on outcomes and reverse remodelling. European Heart Journal

3322015;36:440-448.

3334. Tse H-F, Newman D, Ellenbogen KA, Buhr T, Markowitz T, Lau C-P. Effects of ventricular rate

334regularization pacing on quality of life and symptoms in patients with atrial fibrillation (Atrial

335fibrillation symptoms mediated by pacing to mean rates [AF SYMPTOMS Study]). The

336American Journal of Cardiology 2004;94:938MANUS-941.

3375. Ghosh S, Stadler RW, Mittal S. Automated detection of effective left-ventricular pacing:

338going beyond percentage pacing counters. Europace: European Pacing, Arrhythmias, And

339Cardiac Electrophysiology: Journal Of The Working Groups On Cardiac Pacing, Arrhythmias,

340And Cardiac Cellular Electrophysiology Of The European Society Of Cardiology 2015.

3416. Hernández-Madrid A, Facchin D, Klepfer RN, Ghosh S, Matía R, Moreno J, Locatelli A. Device

342pacing diagnostics overestimate effective CRT pacing results of the holter for efficacy

343analysis of CRT study (OLE CRT study). Heart Rhythm In Press.

3447. Ciaramitaro G, Sgarito G, Solimene F, Maglia G, Vicentini A, Di Donato G, Raciti G, Parrinello

345G, Del Giudice GB. Role of Rate Control and Regularization Through Pacing in Patients With

346Chronic Atrial Fibrillation and Preserved Ventricular Function: The VRR Study. Pacing &

347ClinicalACCEPTEDElectrophysiology 2006;29:866-874.

3488. Ousdigian KT, Borek PP, Koehler JL, Heywood JT, Ziegler PD, Wilkoff BL. The Epidemic of

349Inadequate Biventricular Pacing in Patients With Persistent or Permanent Atrial Fibrillation

350and Its Association With Mortality. Circulation: Arrhythmia and Electrophysiology

3512014;7:370-376.

3529. Dong K, Shen W-K, Powell BD, Dong Y-X, Rea RF, Friedman PA, Hodge DO, Wiste HJ, Webster

353T, Hayes DL, Cha Y-M. Atrioventricular nodal ablation predicts survival benefit in patients

354with atrial fibrillation receiving cardiac resynchronization therapy. Heart Rhythm

3552010;7:1240-1245.

35610. Ganesan AN, Brooks AG, Roberts-Thomson KC, Lau DH, Kalman JM, Sanders P. Role of AV

357Nodal Ablation in Cardiac Resynchronization in Patients With Coexistent Atrial Fibrillation

358and Heart Failure: A Systematic Review. Journal of the American College of Cardiology

3592012;59:719-726.

36011. Gasparini M, Auricchio A, Metra M, Regoli F, Fantoni C, Lamp B, Curnis A, Vogt J, Klersy C.

361Long-term survival in patients undergoing cardiac resynchronization therapy: the

362importance of performing atrio-ventricular junction ablation in patients with permanent

363atrial fibrillation. European Heart Journal 2008;29:1644-1652.

36412. Gasparini M, Leclercq C, Lunati M, Landolina M, Auricchio A, Santini M, Boriani G, Lamp B,

365Proclemer A, Curnis A, Klersy C, Leyva F. Cardiac Resynchronization Therapy in Patients With

366Atrial Fibrillation. JACC: Heart Failure 2013;1:500-507.

36713. Gasparini M, Steinberg JS, Arshad A, Regoli F, Galimberti P, Rosier A, Daubert JC, Klersy C,

368Kamath G, Leclercq C. Resumption of sinus rhythm in patients with heart failure and

369permanent atrial fibrillation undergoing cardiac resynchronization therapy: a longitudinal

370observational study. European Heart Journal 2010;31:976-983.

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37114. Hayes DL, Monteiro JV, Klepfer R, Grenz NA, Tsintzos SI, Eggington S, Shah BR. Abstract

37212995: Prevalence and Incidence of Atrial Fibrillation in a Population Implanted With Cardiac

373Resynchronization Therapy Devices Implanted for at Least 30 Days: Evidence From a

374Prospective Clinical Trial. Circulation 2016;134:A12995-A12995.

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377 Table 1. Subject demographics at the time of enrollment.

378

379

 

 

Total Analyzed

 

 

 

 

 

Subject Characteristics

 

(N = 54)

 

 

 

 

 

 

Gender (N,%) (Male)

 

50

(92.6%)

 

 

 

Age (years)

 

71.0 ± 10.5

 

 

 

LVEF (%)

 

28.8 ± 8.1

 

 

 

Intrinsic QRS Duration (msec)

 

157.3 ± 36.4

 

 

 

Heart Rate (bpm)

 

76.1 ± 10.6

 

 

 

NYHA Classification (N,%)

 

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Class I

 

6 (11.1%)

 

Class II

 

22

(40.7%)

 

Class III

 

16

(29.6%)

 

Not available

 

10

(18.5%)

 

 

 

 

 

 

LBBB (N,%)

 

26

(48.1%)

 

Coronary Artery Disease (N,%)

 

28

(51.9%)

 

 

 

Ischemic Cardiomyopathy (N,%)

 

21

(38.9%)

 

 

 

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AV Conduction Status

 

54 (100%)

 

1st degree block

 

3

(5.6%)

 

2nd degree block

 

0 (0%)

 

3rd degree block

 

0 (0%)

 

 

 

 

 

Atrial Fibrillation (N,%)

 

54 (100%)

 

 

 

 

 

 

Permanent

 

28

(51.9%)

 

Persistent

 

21

(38.9%)

 

Paroxysmal

 

5

(9.3%)

 

 

 

 

 

Rate/Rhythm Control Drugs (N,%)

 

54 (100%)

 

 

 

 

 

Antiarrhythmics - Class III

 

7 (13.0%)

 

Beta-Blockers

 

51

(94.4%)

 

Calcium Channel Blockers

 

4

(7.4%)

 

Cardiac Glycosides

 

27

(50.0%)

 

 

 

 

 

 

 

 

 

 

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380

381 Figure 1. Flow diagram for study design.

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385 Figure 2. Flow diagram for the EffectivCRT during AF algorithm.

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389 Figure 3. Cohort distribution of study participants.

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