Correlation of serum HDL level with HRV indices using multiple linear regression analysis in patients with type 2 diabetes mellitus.

Aims/objectives: To determine the correlation between serum HDL levels with HRV indices in patients with T2DM.

Materials And Methods: The study included 120 type 2 DM patients aged 35-65 years of either sex by simple random sampling. One-minute HRV was analyzed during deep breathing and fasting serum HDL levels was estimated in all patients. Data were analyzed using SPSS 20.0. Karl Pearson's correlation coefficient for relationship and Multiple linear regression analysis was applied for assessment of the influence of independent variables (HRV Indices) on a dependent variable (serum HDL levels). P < 0.05 was considered statistically significant.

Results: Significant negative correlation was observed between serum HDL levels with Mean HR (r = 0.7422, p < 0.001)), LFnu (r = -0.6172, p < 0.001) and ratio of LF/HF (r = 0.5333, p < 0.001). But significant positive correlation was observed between serum HDL levels with HFnu (r = 0.6438, p < 0.001), SDNN, (r = 0.7495, p < 0.001)), RMSSD (r = 0.6348, p < 0.001) and pNN50 % (r = 0.8187, p < 0.001).

Conclusions: Our findings suggest that HDL-C level and all other HRV indices are dependent on each other in patients with T2DM. Most of these patients with low HDL-C level might be associated with autonomic imbalance; this in turn is detected by a simple bedside test of 1-minute HRV during deep breathing.