Heart rate variability Non-Linear analysis by poincare plot in the complete glycemic spectrum Rajendran Rajathi1, Sharma Vivek Kumar2,*, Ramesh3, Vinod K V4, Nandeesha Hanumanthappa5 1Ph. D. Scholar, Department of Physiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, India 2Professor and Head, Department of Physiology, Government Institute of Medical Sciences, Greater Noida, Gautam Buddh Nagar, U.P 3Professor-Head, Department of Physiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, India 4Additional Professor, Department of Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, India 5Associate Professor, Department of Biochemistry, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, India *Corresponding author: Dr. Vivek Kumar Sharma, Professor and Head, Department of physiology, Government Institute of Medical Sciences, Greater Noida, Gautam Buddh Nagar, U.P-201310., India. Mobile No: 9442529673. Email ID: drviveksharma@yahoo.com.
Online published on 1 November, 2018. Abstract Background Prevalence of autonomic dysfunction in diabetes imposes marked cardiovascular risk in them. Heart rate variability (HRV) denotes the status of cardiovascular health. The present study was undertaken to study HRV using Poincare plot in the complete glycemic spectrum. Materials and Method We grouped the participants of either gender in the age group of 30–50 years based on their glycemic status and family history into four groups-1. Normoglycemic subjects without family history of diabetes (control), 2. First degree relatives of diabetes, 3. Prediabetes, and 4. diabetes. We measured anthropometric variables, blood pressure and heart rate. We recorded lead II ECG and analyzed the RR interval using Poincare plot method. Groups were compared using one-way ANOVA followed by Bonferroni correction post-hoc analysis Results We observed that Poincare plot values such as SD1, SD2, SD1/SD2 ratio and S showed decreasing order as follows Control > FDRD> prediabetes > diabetes Conclusion heart rate variability decreases as the blood glucose value increases or even if you at risk for diabetes as with first degree relatives of diabetes. Top Keywords HRV, Poincare plot, autonomic dysfunction, glycemic spectrum, diabetes, T2DM. Top |