Abstract
Introduction:Standard deviation of R-R intervals (SDNN) predicts mortality in variety of clinical conditions. But little is known about correlates of SDNN.Objective: To investigate correlates of SDNN in healthy subjects andwith type 2 diabetes.Materials and Methods:115 male subjects with type 2 diabetes and 87 controls were studied. In them heart rate (HR), blood pressure (BP), body mass index (BMI), Q -Tc and SDNN were measured. Pearson correlation coefficient and unpaired t test were used for data analysis. P < 0.05 was considered significant.Results: In controls, SDNN was negatively correlating with age and HR (p < 0.05, 0.001 respectively). In subjects with type 2 diabetes, SDNN was negatively correlating with HR, diastolic blood pressure and Q-Tc (p < 0.0001, < 0.01, = 0.014 respectively); and was positively correlating with BMI (p < 0.05).Conclusion: Higher HR, DBP and prolonged Q-T interval are associated with reduced SDNN in subjects with type 2 diabetes. In them BMI could be a confounding factor while assessing cardiac autonomic dysfunction employing SDNN. In healthy subjects high HR and age is associated with reduced SDNN.
Highlights
Standard deviation of R-R intervals (SDNN) predicts mortality in variety of clinical conditions
Some researchers have reported that SDNN predicts mortality from all causes in middle-aged and elderly men.[5][6] A study on progression of cardiac autonomic dysfunction in type 2 diabetes has reported that SDNN could be a suitable marker in quantifying cardiac autonomic dysfunction in relation to cardiovascular disease in type 2 diabetes.[7]
Reduced heart rate responses to deep breathing isalso associated with sudden unexplained deaths.[8][9] identifying the correlates of SDNN along with E:I ratio may aid in early detection and management of risk factors associated with cardiac autonomic dysfunction related mortality in subjects with type 2 diabetes mellitus
Summary
Standard deviation of R-R intervals (SDNN) predicts mortality in variety of clinical conditions. In subjects with type 2 diabetes, SDNN was negatively correlating with HR, diastolic blood pressure, Q-Tc and duration of diabetes (p < 0.0001, < 0.01, = 0.014, < 0.05 respectively); and was positively correlating with BMI (p < 0.05). Indices of heart rate variability (HRV) provide insight into cardiac autonomic control.[1] The simplest technique of measuring HRV is the standard deviation of the time series of time intervals between consecutive heart beats (SDNN).[1]. Reduced heart rate responses to deep breathing isalso associated with sudden unexplained deaths.[8][9] identifying the correlates of SDNN along with E:I ratio may aid in early detection and management of risk factors associated with cardiac autonomic dysfunction related mortality in subjects with type 2 diabetes mellitus
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Biomedical and Advance Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
