Journal of Electrocardiology
Volume 43, Issue 5 , Pages 379-384 , September 2010

New York Heart Association Functional class influences the impact of diabetes on cardiac autonomic function

  • Phyllis K. Stein, PhD

      Affiliations

    • Washington University School of Medicine, St. Louis, MO, USA
    • Corresponding Author InformationCorresponding author. Washington University School of Medicine HRV Lab, 4625 Lindell Blvd, Suite 402, St. Louis, MO 63108, USA.
  • ,
  • Prakash Deedwania, MD

      Affiliations

    • UCSF Fresno/VACCHS, Fresno, CA, USA

Received 28 May 2008

References 

  1. Lombardi F. Clinical implications of present physiological understand of HRV components. Card Electrophysiol Rev. 2002;6:245
  2. Stein PK, Kleiger RE. Insights from the study of heart rate variability. Annu Rev Med. 1999;50:249
  3. Stein PK, Domitrovich PP, Kleiger RE. Including patients with diabetes or CABG decreases the association between heart rate variability and mortality post-MI. Am Heart J. 2004;247:309
  4. Stein PK, Domitrovich PP, Kleiger RE, Rottman JN. Clinical and demographic determinants of HRV in post-MI patients: insights from the Cardiac Arrhythmia Suppression Trial (CAST). Clin Cardiol. 2000;23:187
  5. Musialik-Lydka A, Sredniawa B, Pasyk S. Heart rate variability in heart failure. Kardiol Pol. 2003;58:10
  6. Malpas SC, Maling TJ. Heart-rate variability and cardiac autonomic function in diabetes. Diabetes. 1990;39:1177
  7. Burger AJ, Aronson D. Effect of diabetes mellitus on heart rate variability in patients with congestive heart failure. Pacing Clin Electrophysiol. 2001;24:53
  8. Task Force of the European Society of Cardiology . Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Eur Heart J. 1996;17:354
  9. Peng CK, Havlin S, Stanley HE, Goldberger AL. Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos. 1995;5:82
  10. Woo MA, Stevenson WG, Moser DK, Trelease RB, Harper RM. Patterns of beat-to-beat heart rate variability in advanced heart failure. Am Heart J. 1992;123:704
  11. Kobayashi M, Musha T. 1/f fluctuation of heartbeat period. IEEE Trans Biomed Eng. 1982;29:456
  12. Schmidt G, Malik M, Barthel P, et al. Heart-rate turbulence after ventricular premature beats as a predictor of mortality after acute myocardial infarction. Lancet. 1999;353:1390
  13. Stein PK, Deedwania P. Usefulness of abnormal heart rate turbulence to predict cardiovascular mortality in high-risk patients with acute myocardial infarction and left ventricular dysfunction (from the EPHESUS study). Am J Cardiol. 2009;103:1495
  14. Whang W, Bigger JT. Comparison of the prognostic value of RR-interval variability after acute myocardial infarction in patients with versus those without diabetes mellitus. Am J Cardiol. 2003;92:247
  15. Bell DS. Heart failure: the frequent, forgotten, and often fatal complication of diabetes. Diabetes Care. 2003;26:2433
  16. Coats AJS, Anker S. Insulin resistance in chronic heart failure. J Cardiovasc Pharmacol. 2000;35:S9
  17. Amato L, Paolisso G, Cacciatore F, et al. Congestive heart failure predicts the development of non-insulin-dependent diabetes mellitus in the elderly. The Osservatorio Geriatrico Regione Campania Group. Diabetes Metab. 1997;23:213
  18. Tenenbaum A, Motro M, Fisman EZ, et al. Functional class in patients with heart failure is associated with the development of diabetes. Am J Med. 2003;114:271
  19. Nikolaidis L, Levine TB. Peroxisome proliferator activator receptors (PPAR), insulin resistance, and cariomyopathy; Friends or foes for diabetic patients with heart failure?. Cardiology in Review. 2004;12:158
  20. Stein PK, Domitrovich PP, Hui N, Rautaharju P, Gottdiener J. Sometimes higher heart rate variability is not better heart rate variability: results of graphical and non-linear analyses. J Cardiovas Electrophysiol. 2005;16:1
  21. Bigger JT, Fleiss LF, Steinman RC, Rolnitzsky LM, Schneider WJ, Stein PK. RR variability in healthy, middle-age persons compared with patients with chronic coronary heart disease or recent acute myocardial infarction. Circulation. 1995;91:1936

 Study supported by Takeda Pharmaceuticals North America.

PII: S0022-0736(09)00627-X

doi: 10.1016/j.jelectrocard.2009.12.008

Journal of Electrocardiology
Volume 43, Issue 5 , Pages 379-384 , September 2010