20Mar 2017

FREQUENCY DOMAIN ANALYSIS OF HEART RATE VARIABILITY BETWEEN PREMENOPAUSAL AND POSTMENOPAUSAL KNOWN DIABETICS - A COMPARATIVE STUDY.

  • Assistant Professor, Madurai Medical College.
  • Assistant Professor, Thoothukudi Medical College.
Crossref Cited-by Linking logo
  • Abstract
  • Keywords
  • References
  • Cite This Article as
  • Corresponding Author

Back Ground: Diabetes mellitus mainly type II is mainly due toinsulin resistance. The hyperglycemia casued by diabetes lead to micro and macrovascular complication that endangers with life. Premenopausal women with diabetes had the risk similar to that of men with diabetes. Postmenopausal diabetic women had additional risk due to estrogen hormone deficiency. Aim And Objective: To compare the Frequency Domain Analysis of Heart Rate Variability between premenopausal and postmenopausal known diabetic females. Materials& Methods: 100 Type II diabetic females around the age of 40-65yrs (both pre and postmenopausal) from diabetic OPD were recruited from Stanley Medical College Hospital. Institutional Ethical committee approval was obtained. After obtaining written and informed consent from the subjects. ECG(LEADII)was recorded for five mintues in supine position using RMS Digital Polyrite.HRV analysis was done using Frequency domain methods using RMS Digital Polyrite software version 2.1. Results: Our study states that there is a lower HRV in postmenopausal known diabetic females when compared to that of premenopausal known diabetics. Further, decline in estrogen level and diabetes gives a additional risk of increased sympathovagal balance in postmenopausal diabetic women. Conclusion: Type II postmenopausal diabetic females have increased level of autonomic dysfunction .Hence they require hormonal replacement therapy, regular periodic evaluation of cardiac autonomic status in order to prevent future cardiovascular morbidity and mortality.

  1. Harrison?s Principles?? Of?? Internal Medicine-18th Edition (page2868-3003).
  2. Vinik AI, Erbas T. Recognizing and treating diabetic autonomic neuropathy. Cleve Clin J Med.2001; 68: 928- 944.
  3. American Diabetes??? Association?? and?? American Academy of Neurology. Report and recommendations of San?? Antonio?? Conference??? on diabetic? neuropathy (Consensus Statement). D iabetes?? . 1988; 37: 1000- 1004.
  4. Maser R, Lenhard M, De Cherney G. Cardiovascular autonomic neuropathy: the clinical significance of its determination. Endocrinologist. 2000; 10: 27-33.
  5. Rodica Pop-Busui, MD, PHD,1 Gregory W. Evans, MA,2 Hertzel C. Gerstein, MD, MSC,3 Vivian Fonseca, MD,4 Jerome L. Fleg, MD,5 Byron J. Hoogwerf, MD,6 Saul Genuth, MD,7 Richard H. Grimm, MD, PHD,8 Marshall A. Corson, MD,9 Ronald Prineas, MD,2,* and the ACCORD Study GroupDiabetes Care. 2010 July; 33(7): 1578?1584. Published online 2010 March 9. doi:? 2337/dc10-0125 PMCID: PMC2890362Effects of Cardiac Autonomic Dysfunction on Mortality Risk in the Action to Control Cardiovascular Risk in Diabetes (ACCORD)
  6. Sayers BM. Analysis of heart rate variability. Ergonomics.1973;16:17-32
  7. Hirsh JA, Bishop B. Respiratory sinus arrhythmia in humans: how breathing pattern modulates heart rate. Am J Physiol. 1981;241:H620-H629. Akselrod S, Gordon D, Ubel FA, Shannon DC, Barger AC, Cohen RJ.
  8. Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat to beat cardiovascular control. Science. 1981;213:220-222.
  9. Pagani M, Lombardi F, Guzzetti S, Rimoldi O, Furlan R, Pizzinelli P, Sandrone G, Malfatto G, Dell?Orto S, Piccaluga E, Turiel M, Baselli G, Cerutti S, Malliani A. Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympathovagal interaction in man and conscious dog. Circ Res. 1986;59:178-193.
  10. Malliani A, Pagani M, Lombardi F, Cerutti S. Cardiovascular neural regulation explored in the frequency domain. Circulation. 1991;84:1482. predictor of mortality after an acute myocardial infarction.
  11. Pomeranz M, Macaulay RJB, Caudill MA, Kutz I, Adam D, Gordon D, Kilborn KM, Barger AC, Shannon DC, Cohen RJ, Benson M. Assessment of autonomic function in humans by heart rate spectral analysis. Am J Physiol. 1985;248:H151-H153.
  12. Pagani M, Lombardi F, Guzzetti S, Rimoldi O, Furlan R, Pizzinelli P, Sandrone G, Malfatto G, Dell?Orto S, Piccaluga E, Turiel M, Baselli G, Cerutti S, Malliani A. Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympathovagal interaction in man and conscious dog. Circ Res. 1986;59:178-193.
  13. Ziegler D, Zentai CP, Perz S, Rathmann W, Haastert B, Doring A, Meisinger C.: Prediction of mortality using measures of cardiac autonomic dysfunction in the diabetic and nondiabetic population: the MONICA/KORA Augsburg Cohort Study. Diabetes Care 2008; 31: 556?561.
  14. Ferrani AU, Radaelli, Centola M. Ageing and the
  15. cardiovascular system. J Appl Physiol 2003;95: 2591?2597.
  16. Bannister R. Autonomic failure. A textbook ofclinical disorder of autonomic neuropathy. OxfordUniversity Press. Oxford, New York 1999.

[P. Shanmuga Priya Rowena Victor, K. Kanchana and R. Priyadarshini. (2017); FREQUENCY DOMAIN ANALYSIS OF HEART RATE VARIABILITY BETWEEN PREMENOPAUSAL AND POSTMENOPAUSAL KNOWN DIABETICS - A COMPARATIVE STUDY. Int. J. of Adv. Res. 5 (Mar). 247-250] (ISSN 2320-5407). www.journalijar.com

Dr.P.SHANMUGA PRIYA Dr.ROWENA VICTOR Dr.K.KANCHANA Dr.R.PRIY
MADURAI MEDICAL COLLEGE, THOOUTHUKUDI MEDICAL COLLEGE

DOI:

Article DOI: 10.21474/IJAR01/3509      
DOI URL: http://dx.doi.org/10.21474/IJAR01/3509

Download Full Paper

Download PDF No. of Downloads: 19 | No. of Views: 94