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Efficacy of ICD/CRT-D Remote Monitoring in Patients With HFrEF: a Bayesian Meta-analysis of Randomized Controlled Trials

  • Clinical Heart Failure (T.E. Meyer, Section Editor)
  • Published:
Current Heart Failure Reports Aims and scope Submit manuscript

Abstract

Purpose of Review

To evaluate remote monitoring using implantable cardioverter-defibrillator (ICD) or cardiac resynchronization therapy defibrillator (CRT-D) devices as an adjunctive tool to the traditional care of patients with heart failure (HF).

Recent Findings

We included 11 trials encompassing 5965 patients. Absolute risk difference (ARD) with 95% credible interval (CrI) was estimated. Pooled (posterior) risk difference was computed using Bayesian hierarchical methods. The ARD for mortality was centered at − 0.01 (95% CrI: − 0.03; 0.01, Tau: 0.02), with an 82% probability of ARD of ICD/CRT-D remote monitoring with respect to control being less than 0. The ARD for cardiovascular mortality was centered at − 0.03 (95% CrI: − 0.11; 0.05, Tau: 0.10), with an 84% probability of ARD of ICD/CRT-D remote monitoring with respect to control being less than 0.

Summary

ICD/CRT-D remote monitoring in patients with HF is associated with a higher probability of reduced all-cause and cardiovascular mortality compared with standard care alone.

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References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. Virani SS, Alonso A, Benjamin EJ, et al. Heart disease and stroke statistics-2020 update: a report from the American Heart Association. Circulation. 2020;141(9):e139–596. https://doi.org/10.1161/CIR.0000000000000757.

    Article  PubMed  Google Scholar 

  2. Chamberlain RS, Sond J, Mahendraraj K, Lau CS, Siracuse BL. Determining 30-day readmission risk for heart failure patients: the Readmission After Heart Failure scale. Int J Gen Med. 2018;11:127–41. https://doi.org/10.2147/IJGM.S150676.

    Article  PubMed  PubMed Central  Google Scholar 

  3. McDermott MM, Feinglass J, Sy J, Gheorghiade M. Hospitalized congestive heart failure patients with preserved versus abnormal left ventricular systolic function: clinical characteristics and drug therapy. Am J Med. 1995;99(6):629–35. https://doi.org/10.1016/s0002-9343(99)80250-2.

    Article  CAS  PubMed  Google Scholar 

  4. Ong MK, Romano PS, Edgington S, et al. Effectiveness of remote patient monitoring after discharge of hospitalized patients with heart failure: the Better Effectiveness After Transition – Heart Failure (BEAT-HF) Randomized Clinical Trial. JAMA Intern Med. 2016;176(3):310–8. https://doi.org/10.1001/jamainternmed.2015.7712.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Brahmbhatt DH, Cowie MR. Remote management of heart failure: an overview of telemonitoring technologies. Card Fail Rev. 2019;5(2):86–92. https://doi.org/10.15420/cfr.2019.5.3.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Halawa A, Enezate T, Flaker G. Device monitoring in heart failure management: outcomes based on a systematic review and meta-analysis. Cardiovasc Diagn Ther. 2019;9(4):386–93. https://doi.org/10.21037/cdt.2019.01.02.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Cheuk-Man Y, Li W, Elaine C, et al. Intrathoracic impedance monitoring in patients with heart failure. Circulation. 2005;112(6):841–8. https://doi.org/10.1161/CIRCULATIONAHA.104.492207.

    Article  Google Scholar 

  8. Cowie MR. Monitoring heart failure using an implantable device measuring intrathoracic impedance - technical and clinical overview. Eur Cardiol. 2005;1(1):1–4.

  9. Hindricks G, Taborsky M, Glikson M, et al. Implant-based multiparameter telemonitoring of patients with heart failure (IN-TIME): a randomised controlled trial. Lancet (London, England). 2014;384(9943):583–590. https://doi.org/10.1016/S0140-6736(14)61176-4. The authors showed that remote monitoring decreased the primary outcome and showed survival benefit.

  10. van Veldhuisen DJ, Braunschweig F, Conraads V, et al. Intrathoracic impedance monitoring, audible patient alerts, and outcome in patients with heart failure. Circulation. 2011;124(16):1719–26. https://doi.org/10.1161/CIRCULATIONAHA.111.043042.

    Article  PubMed  Google Scholar 

  11. Hansen C, Loges C, Seidl K, et al. INvestigation on Routine Follow-up in CONgestive HearT FAilure Patients with Remotely Monitored Implanted Cardioverter Defibrillators SysTems (InContact). BMC Cardiovasc Disord. 2018;18(1):131. https://doi.org/10.1186/s12872-018-0864-7.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Sardu C, Santamaria M, Rizzo MR, et al. Telemonitoring in heart failure patients treated by cardiac resynchronisation therapy with defibrillator (CRT-D): the TELECART Study. Int J Clin Pract. 2016;70(7):569–76. https://doi.org/10.1111/ijcp.12823.

    Article  CAS  PubMed  Google Scholar 

  13. Domenichini G, Rahneva T, Diab IG, et al. The lung impedance monitoring in treatment of chronic heart failure (the LIMIT-CHF study). Eur Eur pacing, arrhythmias, Card Electrophysiol J Work groups Card pacing, arrhythmias, Card Cell Electrophysiol Eur Soc Cardiol. 2016;18(3):428–35. https://doi.org/10.1093/europace/euv293.

    Article  Google Scholar 

  14. Lüthje L, Vollmann D, Seegers J, Sohns C, Hasenfuß G, Zabel M. A randomized study of remote monitoring and fluid monitoring for the management of patients with implanted cardiac arrhythmia devices. Eur Eur pacing, arrhythmias, Card Electrophysiol J Work groups Card pacing, arrhythmias, Card Cell Electrophysiol Eur Soc Cardiol. 2015;17(8):1276–81. https://doi.org/10.1093/europace/euv039.

    Article  Google Scholar 

  15. 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(3):416–25. https://doi.org/10.1002/ejhf.626.

    Article  PubMed  Google Scholar 

  16. Böhm M, Drexler H, Oswald H, et al. Fluid status telemedicine alerts for heart failure: a randomized controlled trial. Eur Heart J. 2016;37(41):3154–63. https://doi.org/10.1093/eurheartj/ehw099.

    Article  PubMed  Google Scholar 

  17. Landolina M, Perego GB, Lunati M, et al. Remote monitoring reduces healthcare use and improves quality of care in heart failure patients with implantable defibrillators: the evolution of management strategies of heart failure patients with implantable defibrillators (EVOLVO) study. Circulation. 2012;125(24):2985–92. https://doi.org/10.1161/CIRCULATIONAHA.111.088971.

    Article  PubMed  Google Scholar 

  18. Tajstra M, Sokal A, Gadula-Gacek E, et al. Remote Supervision to Decrease Hospitalization Rate (RESULT) study in patients with implanted cardioverter-defibrillator.Eur Eur pacing, arrhythmias, Card Electrophysiol J Work groups Card pacing, arrhythmias, Card Cell Electrophysiol Eur Soc Cardiol. 2020;22(5):769-776.https://doi.org/10.1093/europace/euaa072. The authors showed that remote monitoring was associated with reduced cardiovascular hospitalizations but did not affect mortality.

  19. Morgan JM, Kitt S, Gill J, et al. Remote management of heart failure using implantable electronic devices. Eur Heart J. 2017;38(30):2352–60. https://doi.org/10.1093/eurheartj/ehx227.

    Article  PubMed  PubMed Central  Google Scholar 

  20. van Tulder M, Furlan A, Bombardier C, Bouter L. Updated method guidelines for systematic reviews in the cochrane collaboration back review group. Spine (Phila Pa 1976). 2003;28(12):1290–1299. https://doi.org/10.1097/01.BRS.0000065484.95996.AF

  21. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264–269, W64. https://doi.org/10.7326/0003-4819-151-4-200908180-00135

  22. Higgins JPT, Altman DG, Gotzsche PC, et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928. https://doi.org/10.1136/bmj.d5928.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Sterne JAC, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019;366:l4898. https://doi.org/10.1136/bmj.l4898.

    Article  PubMed  Google Scholar 

  24. Bittl JA, He Y. Bayesian analysis: a practical approach to interpret clinical trials and create clinical practice guidelines. Circ Cardiovasc Qual Outcomes. 2017;10(8). https://doi.org/10.1161/CIRCOUTCOMES.117.003563

  25. Röver C. Bayesian random-effects meta-analysis using the bayesmeta R Package. J Stat Softw. 2020;93(6):1–51. https://doi.org/10.18637/jss.v093.i06.

    Article  Google Scholar 

  26. De Simone A, Leoni L, Luzi M, et al. Remote monitoring improves outcome after ICD implantation: the clinical efficacy in the management of heart failure (EFFECT) study. Eur Eur pacing, arrhythmias, Card Electrophysiol J Work groups Card pacing, arrhythmias, Card Cell Electrophysiol Eur Soc Cardiol. 2015;17(8):1267–75. https://doi.org/10.1093/europace/euu318.

    Article  Google Scholar 

  27. Inglis SC, Clark RA, McAlister FA, et al. Structured telephone support or telemonitoring programmes for patients with chronic heart failure. Cochrane database Syst Rev. 2010;(8):CD007228. https://doi.org/10.1002/14651858.CD007228.pub2. The authors included 25 trials and found a reduction in death rate by 44% and HF-related hospitalizations by 21.6% among patients with telemononitoring.

  28. Chaudhry SI, Mattera JA, Curtis JP, et al. Telemonitoring in patients with heart failure. N Engl J Med. 2010;363(24):2301–9. https://doi.org/10.1056/NEJMoa1010029.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Conraads VM, Tavazzi L, Santini M, et al. Sensitivity and positive predictive value of implantable intrathoracic impedance monitoring as a predictor of heart failure hospitalizations: the SENSE-HF trial. Eur Heart J. 2011;32(18):2266–73. https://doi.org/10.1093/eurheartj/ehr050.

    Article  PubMed  Google Scholar 

  30. Parthiban N, Esterman A, Mahajan R, et al. Remote monitoring of implantable cardioverter-defibrillators: a systematic review and meta-analysis of clinical outcomes. J Am Coll Cardiol. 2015;65(24):2591–600. https://doi.org/10.1016/j.jacc.2015.04.029.

    Article  PubMed  Google Scholar 

  31. Klersy C, Boriani G, De Silvestri A, et al. Effect of telemonitoring of cardiac implantable electronic devices on healthcare utilization: a meta-analysis of randomized controlled trials in patients with heart failure. Eur J Heart Fail. 2016;18(2):195–204. https://doi.org/10.1002/ejhf.470.

    Article  PubMed  Google Scholar 

  32. Al-Khatib SM, Piccini JP, Knight D, Stewart M, Clapp-Channing N, Sanders GD. Remote monitoring of implantable cardioverter defibrillators versus quarterly device interrogations in clinic: results from a randomized pilot clinical trial. J Cardiovasc Electrophysiol. 2010;21(5):545–50. https://doi.org/10.1111/j.1540-8167.2009.01659.x.

    Article  PubMed  Google Scholar 

  33. Ošmera O, Bulava A. The benefits of remote monitoring in long-term care for patients with implantable cardioverter-defibrillators. Neuro Endocrinol Lett. 2014;35(Suppl 1):40–8.

    PubMed  Google Scholar 

  34. Perl S, Stiegler P, Rotman B, et al. Socio-economic effects and cost saving potential of remote patient monitoring (SAVE-HM trial). Int J Cardiol. 2013;169(6):402–7. https://doi.org/10.1016/j.ijcard.2013.10.019.

    Article  CAS  PubMed  Google Scholar 

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Correspondence to Ahmad Al-Abdouh.

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The Editors would like to thank Dr. Christianne Angermann for handling the review of this manuscript.

This article is part of the Topical Collection on Clinical Heart Failure

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Al-Abdouh, A., Mhanna, M., Sayaideh, M.A. et al. Efficacy of ICD/CRT-D Remote Monitoring in Patients With HFrEF: a Bayesian Meta-analysis of Randomized Controlled Trials. Curr Heart Fail Rep 19, 435–444 (2022). https://doi.org/10.1007/s11897-022-00579-6

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