Skip to main content
Log in

Heart rate score predicts mortality independent of shocks in ICD and CRT-D patients

  • Published:
Journal of Interventional Cardiac Electrophysiology Aims and scope Submit manuscript

Abstract

Background

Heart Rate Score (HrSc), a novel index found to predict mortality in patients with implantable defibrillator (ICD) and cardiac resynchronization defibrillator (CRT-D) devices, is associated with mortality in ICD and CRT-D recipients when HrSc is ≥ 70%. Implantable defibrillator shocks have also been associated with increased mortality in ICD and CRT-D recipients. The objective of this study was to evaluate the relationships between HrSc, shocks, and mortality in ICD and CRT-D patients.

Methods

HrSc was calculated from atrial sensed and paced rate histograms collected from the 2006–2011 ALTITUDE remote interrogation database. Shocks were determined in the first year of follow-up. Mortality was assessed over the next 4 years by the Social Security Death Index. Four multivariable models were run: ICD and CRT-D, shock and no shock, with mortality as the outcome and HrS as predictor.

Results

Data from 49,358 ICD and 55,953 CRT-D patients were divided into HrSc: ≥ 70%, 30–69%, and < 30%. Shock rates differed between HrSc groups (p < 0.001) for ICD and CRT-D patients. However, the lowest mortality risk HrSc (< 30%) had the highest shock rate. Both highest HrSc (> 70%; p < 0.001) and shocks (p < 0.001) predicted mortality during follow-up. Mortality was unrelated to interactions between HrSc and shocks in ICD patients (p = 0.275) or CRT-D patients (p < 0.079). Comparing HrSc ≥ 70% to HrSc < 30%, HrSc ≥ 70% predicted mortality in CRT-D (HR 1.40; 95% CI 1.29–1.52) and ICD (HR 1.23; 95% CI 1.11–1.36) patients regardless of shocks (P < 0.001 for both).

Conclusions

Patients with ICDs or CRT-Ds having the lowest mortality risk HrSc had the highest shock rate. Shocks and HrSc appear to complement each other as predictors of mortality.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Goldenberg I, Vyas AK, Hall WJ, Moss AJ, Wang H, He H, et al. Risk stratification for primary implantation of a cardioverter-defibrillator in patients with ischemic left ventricular dysfunction. J Am Coll Cardiol. 2008;51:288–96.

    PubMed  Google Scholar 

  2. Daubert JP, Zareba W, Cannom DS, McNitt S, Rosero SZ, Wang P, et al. Inappropriate implantable cardioverter-defibrillator shocks in MADIT II: frequency, mechanisms, predictors, and survival impact. J Am Coll Cardiol. 2008;51:1357–65.

    PubMed  Google Scholar 

  3. Cygankiewicz I, Gillespie J, Zareba W, Brown MW, Goldenberg I, Klein H, et al. Predictors of long-term mortality in Multicenter Automatic Defibrillator Implantation Trial II (MADIT II) patients with implantable cardioverter-defibrillators. Heart Rhythm. 2009;6:468–73.

    PubMed  Google Scholar 

  4. Powell BD, Saxon LA, Boehmer JP, Day JD, Gilliam FR 3rd, Heidenreich PA, et al. Survival after shock therapy in implantable cardioverter-defibrillator and cardiac resynchronization therapy-defibrillator recipients according to rhythm shocked. The ALTITUDE survival by rhythm study. J Am Coll Cardiol. 2013;62:1674–9.

    PubMed  Google Scholar 

  5. Borne RT, Varosy PD, Masoudi FA. Implantable cardioverter-defibrillator shocks: epidemiology, outcomes, and therapeutic approaches. JAMA Intern Med. 2013;173:859–65.

    PubMed  Google Scholar 

  6. Dichtl W, Wolber T, Paoli U, Brullmann S, Stuhlinger M, Berger T, et al. Appropriate therapy but not inappropriate shocks predict survival in implantable cardioverter defibrillator patients. Clin Cardiol. 2011;34:433–6.

    PubMed  PubMed Central  Google Scholar 

  7. Poole JE, Johnson GW, Hellkamp AS, Anderson J, Callans DJ, Raitt MH, et al. Prognostic importance of defibrillator shocks in patients with heart failure. N Engl J Med. 2008;359:1009–17.

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Sun S, Johnson J, Degroot P, Brown ML, Obel O. Effect of ICD therapies on mortality in the OMNI trial. J Cardiovasc Electrophysiol. 2016;27:192–9.

    PubMed  Google Scholar 

  9. Sweeney MO, Sherfesee L, DeGroot PJ, Wathen MS, Wilkoff BL. Differences in effects of electrical therapy type for ventricular arrhythmias on mortality in implantable cardioverter-defibrillator patients. Heart Rhythm. 2010;7:353–60.

    PubMed  Google Scholar 

  10. Streitner F, Herrmann T, Kuschyk J, Lang S, Doesch C, Papavassiliu T, et al. Impact of shocks on mortality in patients with ischemic or dilated cardiomyopathy and defibrillators implanted for primary prevention. PLoS One. 2013;8:e63911.

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Olshansky B, Richards M, Sharma A, Wold N, Jones P, Perschbacher D, et al. Survival after rate-responsive programming in patients with cardiac resynchronization therapy-defibrillator implants is associated with a novel parameter: the heart rate score. Circ Arrhythm Electrophysiol. 2016;9.

  12. Wilkoff BL, Richards M, Sharma A, Wold N, Jones P, Perschbacher D, et al. A device histogram-based simple predictor of mortality risk in ICD and CRT-D patients: the heart rate score. Pacing Clin Electrophysiol. 2017;40:333–43.

    PubMed  Google Scholar 

  13. Saxon LA, Hayes DL, Gilliam FR, Heidenreich PA, Day J, Seth M, et al. Long-term outcome after ICD and CRT implantation and influence of remote device follow-up: the ALTITUDE survival study. Circulation. 2010;122:2359–67.

    PubMed  Google Scholar 

  14. Chang PM, Powell BD, Jones PW, Carter N, Hayes DL, Saxon LA. Implantable cardioverter defibrillator programming characteristics, shocked rhythms, and survival among patients under thirty years of age. J Cardiovasc Electrophysiol. 2016;27:1183–90.

    PubMed  Google Scholar 

  15. Moss AJ, Schuger C, Beck CA, Brown MW, Cannom DS, Daubert JP, et al. Reduction in inappropriate therapy and mortality through ICD programming. N Engl J Med. 2012;367:2275–83.

    CAS  PubMed  Google Scholar 

  16. Elhendy A, Mahoney DW, Khandheria BK, Burger K, Pellikka PA. Prognostic significance of impairment of heart rate response to exercise: impact of left ventricular function and myocardial ischemia. J Am Coll Cardiol. 2003;42:823–30.

    PubMed  Google Scholar 

  17. Khan MN, Pothier CE, Lauer MS. Chronotropic incompetence as a predictor of death among patients with normal electrograms taking beta blockers (metoprolol or atenolol). Am J Cardiol. 2005;96:1328–33.

    CAS  PubMed  Google Scholar 

  18. Kiviniemi AM, Tulppo MP, Hautala AJ, Makikallio TH, Perkiomaki JS, Seppanen T, et al. Long-term outcome of patients with chronotropic incompetence after an acute myocardial infarction. Ann Med. 2011;43:33–9.

    PubMed  Google Scholar 

  19. Savonen KP, Kiviniemi V, Laukkanen JA, Lakka TA, Rauramaa TH, Salonen JT, et al. Chronotropic incompetence and mortality in middle-aged men with known or suspected coronary heart disease. Eur Heart J. 2008;29:1896–902.

    PubMed  Google Scholar 

  20. Zafrir B, Azencot M, Dobrecky-Mery I, Lewis BS, Flugelman MY, Halon DA. Resting heart rate and measures of effort-related cardiac autonomic dysfunction predict cardiovascular events in asymptomatic type 2 diabetes. Eur J Prev Cardiol. 2016;23:1298–306.

    PubMed  Google Scholar 

  21. Kramer DB, Mitchell SL, Monteiro J, Jones PW, Normand SL, Hayes DL, et al. Patient activity and survival following implantable cardioverter-defibrillator implantation: the ALTITUDE activity study. J Am Heart Assoc. 2015;4.

  22. Richards M, Olshansky B, Sharma AD, Wold N, Jones P, Perschbacher D, et al. Addition of minute ventilation to rate-response pacing improves heart rate score more than accelerometer alone. Heart Rhythm. 2018;15:1730–5.

    PubMed  Google Scholar 

  23. Olshansky B, Richards M, Sharma A, Wold N, Perschbacher D and Wilkoff BL. Programmed lower rate limit in CRT-Ds - is there one best approach? Circulation. 2017.

Download references

Funding

B. Olshansky, B. Wilkoff, and M. Richards received no compensation for this work.

P. Jones, N. Wold, D. Pershbacher, and A. Sharma received salary support from Boston Scientific but not specifically for this project.

Boston Scientific did not charge for the database.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Brian Olshansky.

Ethics declarations

Conflict of interest

Brian Olshansky: Lundbeck, Boehringer Ingelheim, Amarin, Respicardia, Sanofi Aventis

Mark Richards: Boston Scientific, Boehringer Ingelheim, Medtronic, Biotronik, Janssen, Pfizer

Arjun Sharma: Cardialen, VivaQuant, 3M

Paul W. Jones: Boston Scientific

Nick Wold: Boston Scientific

David Pershbacher: Boston Scientific

Bruce L. Wilkoff: Consultant: Medtronic, St. Jude, Spectranetics, Speaker: Medtronic, Spectranetics, St. Jude, Convatec

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Olshansky, B., Richards, M., Sharma, A.D. et al. Heart rate score predicts mortality independent of shocks in ICD and CRT-D patients. J Interv Card Electrophysiol 58, 103–111 (2020). https://doi.org/10.1007/s10840-019-00688-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10840-019-00688-8

Keywords

Navigation