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Is There a Future for Remote Cardiac Implantable Electronic Device Management?

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Is There a Future for Remote Cardiac Implantable Electronic Device Management?

BURRI, Haran Kumar

Abstract

In the era of communication technology, remote monitoring has been a paradigm shift in the way patients with cardiac implantable electronic devices are managed. It has been endorsed by scientific societies and is being increasingly adopted in the clinical setting. Despite the various advantages associated with this strategy, data on improved clinical outcome are still sparse. The recently published study on the remote management of heart failure using implanted devices and formalised follow-up procedures, which turned out to be negative, has cast doubt on whether remote monitoring should still be used. This article provides a critical appraisal of the study, and discusses the issue of remote data management.

BURRI, Haran Kumar. Is There a Future for Remote Cardiac Implantable Electronic Device Management? Arrhythmia & Electrophysiology Review , 2017, vol. 6, no. 3, p. 109-110

DOI : 10.15420/aer.2017:10:1 PMID : 29018516

Available at:

http://archive-ouverte.unige.ch/unige:112297

Disclaimer: layout of this document may differ from the published version.

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Remote follow-up and monitoring of patients implanted with cardiac implantable electronic devices (CIEDs) has been introduced over a decade ago, and is now indicated according to European (class IIa indication1) and American (class I indication2) guidelines. There have been high expectations that this technology will improve patient outcome, as it significantly shortens response to actionable events (e.g. AF) compared with standard in-office follow-up.3,4 However, several randomised trials have failed to meet this promise.5,6

The remote management of heart failure using implanted devices and formalised follow-up procedures (REM-HF) study has been published recently.7 This trial, conducted at nine centres in England, randomised 1650 patients implanted with an ICD, cardiac resynchronisation therapy defibrillator or cardiac resynchronisation therapy pacemaker to either remote management with weekly transmissions or to usual care.

After a median follow-up of 2.8  years, there were no differences in the primary outcome of mortality or cardiovascular admissions, nor in any of the secondary endpoints (although there was a trend in reduced mortality). This study is remarkable in that it is – as yet – the largest study in this field, with the longest follow-up, few exclusion criteria (e.g. AF was admissible and there was no age limit), and included devices from three major manufacturers. The results were disappointing: there were no differences in the primary endpoint of total mortality or cardiovascular hospitalisation, nor in any of the secondary endpoints. However, there are a number of points that need to be discussed.

First, the study was performed in tertiary expert centres where specialised heart failure clinics already manage these complex patients to a high level of quality of care. Therefore, incremental benefit of any intervention is likely to be more difficult to achieve, and results may not be extrapolated to other less specialised settings.

Second, this was not a study randomising remote device management with standard in-office care, as patients in the control group could be remotely monitored (except to manage heart failure). Third, the active group required weekly transmissions to be actively performed by the patients, with almost 40 % of patients transmitting <75 % of the time at 2  years. This is in contrast to automatic pre-defined alerts, which are the usual form of remote management, and that achieve successful transmissions in >90 % of the time.4,8 Remote monitoring by automatic alerts, using devices not included in REM-HF (Biotronik), has been shown in the TRUECOIN patient-level meta-analysis to reduce mortality compared with standard care.9

Last, but not least, the patients in the remote management group generated 79,325 transmissions. This means that each centre received on average 10–15  transmissions/day to process (this number was certainly higher towards the end of patient enrolment). Only 226 (0.3 %) transmissions resulted in medication change by the monitor and only 910  (1.1  %) resulted in the patient being advised to seek medical attention. Therefore, very few actions resulted from transmissions in the remote management group.

In any process aiming to improve patient outcome, three fundamental factors are implicated:  1) availability of good data,  2) proper interpretation of these data and 3) generation of meaningful action.

In the case of REM-HF, there was most probably data overload, with parameters that are sometimes difficult to interpret individually (e.g. transthoracic impedance, heart rate variability etc.). This is probably one of the reasons why so little action was taken. For the reasons detailed above, it is not surprising that the study was negative.

The key to improving outcome with remote CIED management lies most probably in data management. Triage of alerts into Abstract

In the era of communication technology, remote monitoring has been a paradigm shift in the way patients with cardiac implantable electronic devices are managed. It has been endorsed by scientific societies and is being increasingly adopted in the clinical setting. Despite the various advantages associated with this strategy, data on improved clinical outcome are still sparse. The recently published study on the remote management of heart failure using implanted devices and formalised follow-up procedures, which turned out to be negative, has cast doubt on whether remote monitoring should still be used. This article provides a critical appraisal of the study, and discusses the issue of remote data management.

Keywords

Remote monitoring, cardiac implantable electronic devices, implantable cardioverter defibrillator, cardiac resynchronisation therapy

Disclosure: Haran Burri has received research grants, speaker fees or institutional fellowship support from Abbott, Biotronik, Boston Scientific, LivaNova, Medtronic and St-Jude Medical. He is one of the co-principal investigators of the MORE-CARE study funded by Medtronic.

Received: 4 July 2017 Accepted: 10 August 2017 Citation: Arrhythmia & Electrophysiology Review 2017;6(3):109–10. DOI: 1015420/aer.2017:10:1 Correspondence: Haran Burri, MD, Cardiology Department, University Hospital of Geneva, Rue Gabrielle Perret Gentil 4, 1211 Geneva 14, Switzerland.

E: haran.burri@hcuge.ch

Is There a Future for Remote Cardiac Implantable Electronic Device Management?

Haran Burri

Cardiology Department, University Hospital of Geneva, Geneva, Switzerland

Expert opinion

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A R R H Y T H M I A & E L E C T R O P H Y S I O L O G Y R E V I E W

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Expert Opinion

risk categories enables healthcare personnel to focus attention on those patients who are most likely to require medical intervention, thereby avoiding clinical deterioration. Cowie (who is also the last author of REM-HF) and collaborators devised the Medtronic “Heart Failure Risk Status” score based on an automatic algorithm that combines data extracted from remote monitoring transmissions (on intrathoracic impedance, nocturnal heart rate, heart rate variability, daily activity and arrhythmic events), to stratify patients into high, medium and low risk.10 Patients with a high risk score had a significant six-fold increased likelihood of being admitted for heart failure in the following month compared with those with a low risk score.

These findings were later confirmed in independent cohorts from the Resynchronization-Defibrillation for Ambulatory Heart Failure Trial (RAFT)11 and Monitoring Resynchronization Devices And Cardiac Patients (MORE-CARE) trials.12 Of note, the proportion of high-risk alerts was 10  % in all three reports, underlining the potential not only for improving data interpretation using integrated diagnostics, but also for facilitating data triage. Other devices companies are also working on risk stratification tools. In the Multisensor Chronic Evaluation In Ambulatory Heart Failure Patients (MultiSENSE) study, an algorithm by Boston Scientific combining different parameters (heart sounds, respiration, thoracic impedance, heart rate, and activity) showed promising results for predicting heart failure

events.13 Algorithms from other companies using fewer parameters such as transthoracic impedance only14 or minute ventilation combined with daily activity15 were less predictive, and response to data that are non-specific may even result in inappropriate treatment that is harmful.16 It nevertheless remains to be proven by randomised trials that the use of risk-stratification algorithms leads to improved patient outcome.

Beyond improvement in patient outcome, remote CIED management is a matter of convenience, both for patients as well as for caregivers.17 It allows improved adherence to follow-up,18 reduces healthcare utilisation8,19 and is invaluable for monitoring device function.20 Furthermore, it allows generation of large amounts of data for scientific research21 and quality control (e.g. lead survival and device longevity for manufacturer product performance reports).

In conclusion, the results of REM-HF merely show that remote CIED management should not be performed by weekly manual transmissions, which are cumbersome for the patient and lead to data overflow for device clinics, without any improvement in patient outcome. Modern-day technology allows more streamlined solutions, which continue to evolve. Without any doubt, remote CIED patient management is not only here to stay, but will continue to grow. n

1. Brignole M, Auricchio A, Baron-Esquivias G, et al.

2013 ESC guidelines on cardiac pacing and cardiac resynchronization therapy: the task force on cardiac pacing and resynchronization therapy of the European Society of Cardiology (ESC). Developed in collaboration with the European Heart Rhythm Association (EHRA).

Europace 2013;15:1070–118. DOI: 10.1093/europace/eut206;

PMID: 23801827.

2. Slotwiner D, Varma N, Akar JG, et al. HRS Expert Consensus Statement on remote interrogation and monitoring for cardiovascular implantable electronic devices. Heart Rhythm 2015;12:e69–100. DOI: 10.1016/j.hrthm.2015.05.008; PMID:

25981148.

3. Crossley GH, Boyle A, Vitense H, et al. The CONNECT (Clinical Evaluation of Remote Notification to Reduce Time to Clinical Decision) trial: the value of wireless remote monitoring with automatic clinician alerts. J Am Coll Cardiol. 2011 Mar 8;57(10):1181-9. doi: 10.1016/j.jacc.2010.12.012 4. Boriani G, Da Costa A, Ricci RP, et al. The MOnitoring

Resynchronization dEvices and CARdiac patiEnts (MORE-CARE) randomized controlled trial: phase 1 results on dynamics of early intervention with remote monitoring. J Med Internet Res 2013;15:e167. DOI: 10.2196/jmir.2608; PMID: 23965236.

5. Parthiban N, Esterman A, Mahajan R, Twomey DJ, Pathak RK, Lau DH, et al. Remote monitoring of implantable cardioverter- defibrillators: A systematic review and meta-analysis of clinical outcomes. J Am Coll Cardiol 2015;65:2591–600.

DOI: 10.1016/j.jacc.2015.04.029; PMID: 25983009. 

6. Boriani G, Da Costa A, Quesada A, et al. Effects of remote monitoring on clinical outcomes and use of healthcare resources in heart failure patients with biventricular defibrillators: results of the MORE-CARE multicentre randomized controlled trial. Eur J Heart Fail 2017;19:416–25.

DOI: 10.1002/ejhf.626; PMID: 27568392.

7. Morgan JM, Kitt S, Gill J, et al. Remote management of heart failure using implantable electronic devices. Eur Heart J 2017; DOI:

10.1093/eurheartj/ehx227; PMID: 28575235; epub ahead of press.

8. Varma N, Epstein AE, Irimpen A, et al; TRUST Investigators.

Efficacy and safety of automatic remote monitoring for implantable cardioverter-defibrillator follow-up: the Lumos-T Safely Reduces Routine Office Device Follow-up (TRUST) trial. Circulation 2010;122:325–32. DOI: 10.1161/

CIRCULATIONAHA.110.937409; PMID: 20625110. 

9. Hindricks G, Varma N, Kacet S, et al. Daily remote monitoring of implantable cardioverter-defibrillators: insights from the pooled patient-level data from three randomized controlled trials (IN-TIME, ECOST, TRUST). Eur Heart J 2017;38:1749–55.

DOI: 10.1093/eurheartj/ehx015.

10. Cowie MR, Sarkar S, Koehler J, et al. Development and validation of an integrated diagnostic algorithm derived from parameters monitored in implantable devices for identifying patients at risk for heart failure hospitalization in an ambulatory setting. Eur Heart J 2013;34:2472–80.

DOI: 10.1093/eurheartj/eht083; PMID: 23513212.

11. Gula LJ, Wells GA, Yee R, et al. A novel algorithm to assess risk of heart failure exacerbation using ICD diagnostics:

validation from RAFT. Heart Rhythm 2014;11:1626–31.

DOI: 10.1016/j.hrthm.2014.05.015; PMID: 24846373. 

12. Burri H, Da Costa A, Quesada A, et al. Risk stratification of heart failure and cardiovascular hospitalizations using integrated device diagnostics in patients with a cardiac resynchronization therapy defibrillator. Europace 2017;

DOI: 10.1093/europace/eux206; PMID: 28679168; epub ahead of press.

13. Boehmer JP, Hariharan R, Devecchi FG, et al. A multisensor algorithm predicts heart failure events in patients with implanted devices: Results from the MultiSENSE study. JACC Heart Fail 2017;5:216–25. DOI: 10.1016/j.jchf.2016.12.011;

PMID: 28254128.

14. Heist EK, Herre JM, Binkley PF, et al. Analysis of different device- based intrathoracic impedance vectors for detection of heart failure events (from the Detect Fluid Early from Intrathoracic Impedance Monitoring study). Am J Cardiol 2014;114:1249–56.

DOI: 10.1016/j.amjcard.2014.07.048; PMID: 25150135.

15. Auricchio A, Gold MR, Brugada J, et al. Long-term effectiveness of the combined minute ventilation and patient activity sensors as predictor of heart failure events in patients treated with cardiac resynchronization therapy:

Results of the Clinical Evaluation of the Physiological Diagnosis Function in the PARADYM CRT device Trial (CLEPSYDRA) study. Eur J Heart Fail 2014;16:663–70.

DOI: 10.1002/ejhf.79; PMID: 24639140.

16. Hindricks G, Varma N. Remote monitoring and heart failure:

monitoring parameters, technology, and workflow. Eur Heart J 2016;37:3164–6. DOI: 10.1093/eurheartj/ehw201;

PMID: 27381588.

17. Burri H, Heidbüchel H, Jung W, Brugada P. Remote monitoring:

a cost or an investment? Europace 2011;13:Suppl 2:ii44-ii48.

DOI: 10.1093/europace/eur082; PMID: 21518749.

18. Varma N, Michalski J, Stambler B, Pavri BB; TRUST Investigators. Superiority of automatic remote monitoring compared with in-person evaluation for scheduled ICD follow-up in the TRUST trial - testing execution of the recommendations. Eur Heart J 2014;35:1345–52. DOI: 10.1093/

eurheartj/ehu066; PMID: 24595864.

19. Heidbuchel H, Hindricks G, Broadhurst P, et al. EuroEco (European Health Economic Trial on Home Monitoring in ICD Patients): a provider perspective in five European countries on costs and net financial impact of follow-up with or without remote monitoring. Eur Heart J 2014;36:158–69. DOI: 10.1093/

eurheartj/ehu339; PMID: 25179766.

20. Varma N, Michalski J, Epstein AE, Schweikert R. Automatic remote monitoring of implantable cardioverter-defibrillator lead and generator performance: the Lumos-T Safely RedUceS RouTine Office Device Follow-Up (TRUST) trial.

Circ Arrhythm Electrophysiol 2010;3:428–36. DOI: 10.1161/

CIRCEP.110.951962; PMID: 20716717.

21. Cheng A, Landman SR, Stadler RW. Reasons for loss of cardiac resynchronization therapy pacing: insights from 32 844 patients. Circ Arrhythm Electrophysiol 2012;5:884–8. DOI: 10.1161/

CIRCEP.112.973776; PMID: 22923341.

AER_Burri_FINAL.indd 110 22/08/2017 23:06

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