Key result
Combining the standard deviation of normal RR intervals (SDNN) and feet electrochemical skin conductance significantly predicted cardiovascular autonomic neuropathy with an area under the curve of 0.779.
Why the study?
Although HRV or ESC alone can screen for cardiovascular autonomic neuropathy (CAN), whether combining them provides a better estimate of CAN severity in outpatient T2DM patients was untested.
Does the combination of heart rate variability (SDNN) and electrochemical skin conductance (feet ESC) improve the estimation of cardiovascular autonomic neuropathy severity in patients with type 2 diabetes?
Cross-Sectional (n=90)
No
Does the combination of heart rate variability (SDNN) and electrochemical skin conductance (feet ESC) improve the estimation of cardiovascular autonomic neuropathy severity in patients with type 2 diabetes?
Combining heart rate variability (SDNN) and electrochemical skin conductance (feet ESC) provides a time-effective and accurate screening tool for estimating the severity of cardiovascular autonomic neuropathy in outpatient clinics.
Answers are grounded in this paper and cite their sources.
Should not yet change CAN screening in type 2 diabetes; leaves open prospective validation of combined SDNN and feet ESC.
Background: Clinical studies show that either heart rate variability (HRV) or electrochemical skin conductance (ESC) alone can serve as a simple and objective method for screening cardiovascular autonomic neuropathy (CAN). We tested the hypothesis that combining these two quantitative approaches can provide a better estimate of CAN severity in patients with type 2 diabetes (T2DM) who had already suffered from CAN in outpatient clinics.Methods: Each patient received a complete battery of cardiovascular autonomic reflex tests (CARTs), with ESC measured by SUDOSCAN, time domain measured by standard deviation of all normal RR intervals (SDNN) and frequency domain of HRV (low frequency [LF], high frequency [HF], and LF/HF ratio), and peripheral blood studies for vascular risk factors. Severity of CAN was measured by CAN score.Results: The 90 T2DM patients included 50 males and 40 females. Those with more severe CAN had a higher CAN score value (P<0.0001) and lower values in feet ESC (P=0.023) and SDNN (P<0.0001). Stepwise linear regression analysis also showed that feet ESC and SDNN value (P<0.0001 and P<0.0001) were significantly associated with CAN score, respectively.Conclusions: Based on our results, a combination of electrophysiologic biomarkers (SDNN and feet ESC) as a test battery can improve the diagnostic accuracy and reinforce the accuracy in estimating CAN severity and can serve as a time-effective screening service in outpatient clinics.
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Lai et al. (2020) conducted a cross-sectional in Cardiovascular autonomic neuropathy in type 2 diabetes (n=90). Combined heart rate variability (SDNN) and feet electrochemical skin conductance (ESC) vs. Individual parameters was evaluated on Diagnostic accuracy (Area Under the Curve) for predicting cardiovascular autonomic neuropathy (AUC 0.779, 95% CI 0.68-0.88, p=<0.0001). Combining the standard deviation of normal RR intervals (SDNN) and feet electrochemical skin conductance significantly predicted cardiovascular autonomic neuropathy with an area under the curve of 0.779.
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