Log in

Long-term monitoring of respiratory rate in patients with heart failure: the Multiparametric Heart Failure Evaluation in Implantable Cardioverter-Defibrillator Patients (MULTITUDE-HF) study

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

Abstract

Background

Monitoring respiratory rate (RR) is recommended at the time of hospital presentation for acute decompensation in heart failure (HF). Device-based continuous monitoring of RR may be helpful for diagnostic and prognostic stratification after implantable cardioverter-defibrillator (ICD) implantation. This study was undertaken to analyze short- and long-term changes in ICD-measured RR and to relate RR with the patient’s clinical status and the occurrence of HF events.

Methods

One hundred twenty-four consecutive HF patients who received ICD endowed with this diagnostic capability (Boston Scientific Inc., Natick, MA, USA) were prospectively enrolled. Patients were followed up for 12 months.

Results

At the baseline, the proportion of New York Heart Association (NYHA) class III–IV was higher among patients with daily maximum RR >27 breaths/min (third tertile) than those with <24 breaths/min (first tertile) (43 vs. 23 %, p < 0.05). Moreover, the ejection fraction was lower (27 ± 7 vs. 34 ± 8 %, p < 0.05). In patients with HF hospitalizations (33 events) and urgent visits for HF (15 events), the weekly average of RR calculated over the 7 days preceding hospital accesses did not differ from values recorded at the baseline and before scheduled follow-up visits. However, the weekly variation in RR (i.e., the difference between maximum and minimum values collected over the week) was significantly higher prior to hospitalization (p < 0.05). A weekly variation >3 breaths/min in maximum RR predicted an impending hospital admission for HF with sensitivity of 73 % and specificity of 57 %.

Conclusions

In this study, elevated values of ICD-monitored RR identified patients with worse functional status and lower systolic function. The weekly variation in RR increased before HF exacerbation. This monitoring technology may represent a useful tool in the clinical management of patients with HF.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Abbreviations

CRT-D:

Cardiac resynchronization therapy defibrillators

ICD:

Implantable cardioverter-defibrillators

HF:

Heart failure

RR:

Respiratory rate

References

  1. Cleland, J. G., Daubert, J. C., Erdmann, E., Freemantle, N., Gras, D., Kappenberger, L., Tavazzi, L., & Cardiac Resynchronization-Heart Failure (CARE-HF) Study Investigators. (2005). The effect of cardiac resynchronization on morbidity and mortality in heart failure. New England Journal of Medicine, 352, 1539–1549.

    Article  CAS  PubMed  Google Scholar 

  2. McMurray, J. J., Adamopoulos, S., Anker, S. D., et al. (2012). ESC guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: the Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2012 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association (HFA) of the ESC. European Heart Journal, 33, 1787–1847.

    Article  PubMed  Google Scholar 

  3. Kadhiresan, V. A., Pastore, J., Auricchio, A., Sack, S., Doelger, A., Girouard, S., Spinelli, J. C., & PATH-CHF Study Group. (2002). Pacing therapies in congestive heart failure: a novel method—the activity log index—for monitoring physical activity of patients with heart failure. American Journal of Cardiology, 89, 1435–1437.

    Article  PubMed  Google Scholar 

  4. Conraads, V. M., Spruit, M. A., Braunschweig, F., Cowie, M. R., Tavazzi, L., Borggrefe, M., Hill, M. R., Jacobs, S., Gerritse, B., & van Veldhuisen, D. J. (2014). Physical activity measured with implanted devices predicts patient outcome in chronic heart failure. Circulation. Heart Failure, 7, 279–287.

    Article  PubMed  Google Scholar 

  5. Landolina, M., Gasparini, M., Lunati, M., et al. (2008). Heart rate variability monitored by the implanted device predicts response to CRT and long-term clinical outcome in patients with advanced heart failure. European Journal of Heart Failure, 10, 1073–1079.

    Article  PubMed  Google Scholar 

  6. Santini, M., Gasparini, M., Landolina, M., et al. (2011). Device-detected atrial tachyarrhythmias predict adverse outcome in real-world patients with implantable biventricular defibrillators. Journal of the American College of Cardiology, 57, 167–172.

    Article  PubMed  Google Scholar 

  7. Conraads, V. M., Tavazzi, L., Santini, M., Oliva, F., Gerritse, B., Yu, C. M., & Cowie, M. R. (2011). Sensitivity and positive predictive value of implantable intrathoracic impedance monitoring as a predictor of heart failure hospitalizations: the SENSE-HF trial. European Heart Journal, 32, 2266–2273.

    Article  PubMed  Google Scholar 

  8. van Veldhuisen, D. J., Braunschweig, F., Conraads, V., et al. (2011). Intrathoracic impedance monitoring, audible patient alerts, and outcome in patients with heart failure. Circulation, 124, 1719–1726.

    Article  PubMed  Google Scholar 

  9. Forleo, G. B., Tesauro, M., Panattoni, G., et al. (2012). Impact of continuous intracardiac ST-segment monitoring on mid-term outcomes of ICD-implanted patients with coronary artery disease. Early results of a prospective comparison with conventional ICD outcomes. Heart, 98, 402–407.

    Article  PubMed  Google Scholar 

  10. Page, E., Cazeau, S., Ritter, P., Galley, D., & Casset, C. (2007). Physiological approach to monitor patients in congestive heart failure: application of a new implantable device-based system to monitor daily life activity and ventilation. Europace, 9, 687–693.

    Article  PubMed  Google Scholar 

  11. Clark, A. L., Sparrow, J. L., & Coats, A. J. (1995). Muscle fatigue and dyspnoea in chronic heart failure: two sides of the same coin? European Heart Journal, 16, 49–52.

    Article  CAS  PubMed  Google Scholar 

  12. Friedman, M. M. (1997). Older adults’ symptoms and their duration before hospitalization for heart failure. Heart and Lung, 26, 169–176.

    Article  CAS  PubMed  Google Scholar 

  13. Schiff, G. D., Fung, S., Speroff, T., & McNutt, R. A. (2003). Decompensated heart failure: symptoms, patterns of onset, and contributing factors. American Journal of Medicine, 114, 625–630.

    Article  PubMed  Google Scholar 

  14. Chaudhry, S. I., Wang, Y., Concato, J., Gill, T. M., & Krumholz, H. M. (2007). Patterns of weight change preceding hospitalization for heart failure. Circulation, 116, 1549–1554.

    Article  PubMed Central  PubMed  Google Scholar 

  15. Whellan, D. J., Ousdigian, K. T., Al-Khatib, S. M., Pu, W., Sarkar, S., Porter, C. B., Pavri, B. B., O’Connor, C. M., & PARTNERS Study Investigators. (2010). Combined heart failure device diagnostics identify patients at higher risk of subsequent heart failure hospitalizations: results from PARTNERS HF (Program to Access and Review Trending Information and Evaluate Correlation to Symptoms in Patients With Heart Failure) study. Journal of the American College of Cardiology, 55, 1803–1810.

    Article  PubMed  Google Scholar 

  16. Gula, L. J., Wells, G. A., Yee, R., Koehler, J., Sarkar, S., Sharma, V., Skanes, A. C., Sapp, J. L., Redfearn, D. P., Manlucu, J., & Tang, A. S. (2014). A novel algorithm to assess risk of heart failure exacerbation using ICD diagnostics: validation from RAFT. Heart Rhythm, 11, 1626–1631.

    Article  PubMed  Google Scholar 

  17. Auricchio, A., Gold, M. R., Brugada, J., Nölker, G., Arunasalam, S., Leclercq, C., Defaye, P., Calò, L., Baumann, O., & Leyva, F. (2014). 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. European Journal of Heart Failure, 16, 663–670.

    Article  PubMed  Google Scholar 

Download references

Funding sources

None.

Conflict of interest

M. Lovecchio, U. Riva, and S. Valsecchi are employees of Boston Scientific. GB. Forleo, A. Natale, and L. Santini received speaker honoraria from Boston Scientific. The remaining authors have no disclosures.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Giovanni B. Forleo.

Additional information

Clinical trial registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT01501331

Appendix

Appendix

The following Italian institutions and investigators participated in the study—Policllinico Tor Vergata, Rome: GB. Forleo, G. Magliano, G. Panattoni, V. Ribatti, D. Sergi, L. Santini, and F. Romeo; Ospedale Belcolle, Viterbo: M. Campoli, M. Malavasi, and M. Sassara; Ospedale SS. Trinità, Sora: A. Scaccia; Ospedale F. Spaziani, Frosinone: L. Carbonardi and M. Menichelli; Ospedale S. Eugenio, Roma: F. Lamberti; Ospedale Santa Maria, Terni: C. Marini and G. Carreras; and Ospedale San Camillo de Lellis, Rieti: S. Orazi and A. Menè.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Forleo, G.B., Santini, L., Campoli, M. et al. Long-term monitoring of respiratory rate in patients with heart failure: the Multiparametric Heart Failure Evaluation in Implantable Cardioverter-Defibrillator Patients (MULTITUDE-HF) study. J Interv Card Electrophysiol 43, 135–144 (2015). https://doi.org/10.1007/s10840-015-0007-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10840-015-0007-3

Keywords

Navigation