Association and predictive value analysis for resting heart rate and diabetes mellitus on cardiovascular autonomic neuropathy in general population

Abstract

Background: The purpose of this study was to evaluate the predictive value of DM and resting HR on CAN in a large sample derived from a Chinese population.

Materials and methods: We conducted a large-scale, population-based, cross-sectional study to explore the relationships of CAN with DM and resting HR. A total of 387 subjects were diagnosed with CAN in our dataset. The associations of CAN with DM and resting HR were assessed by a multivariate logistic regression (MLR) analysis (using subjects without CAN as a reference group) after controlling for potential confounding factors. The area under the receiver-operating characteristic curve (AUC) was used to evaluate the predictive performance of resting HR and DM.

Results: A tendency toward increased CAN prevalence with increasing resting HR was reported (P for trend <0.001). MLR analysis showed that DM and resting HR were very significantly and independently associated with CAN (P < 0.001 for both). Resting HR alone or combined with DM (DM-HR) both strongly predicted CAN (AUC = 0.719, 95% CI 0.690-0.748 for resting HR and AUC = 0.738, 95% CI 0.710-0.766 for DM-HR).

Conclusion: Our findings signify that resting HR and DM-HR have a high value in predicting CAN in the general population.

Figures

Figure 1

Receiver-operating characteristic curves showed the performance of resting heart rate (HR), diabetes (DM), and categorical variable of DM-HR in predicting cardiovascular autonomic neuropathy (CAN) prevalence in this dataset. The 95% confidence interval (CI) is given in parentheses. AUC represents area under the curve. HR: AUC = 0.719, 95% CI 0.690–0.748, P < 0.001; DM: AUC = 0.589, 95% CI 0.556–0.622, P < 0.001; DM-HR: AUC = 0.738, 95% CI 0.710–0.766, P < 0.001.