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Original investigation
Integrating heart rate variability and electrochemical skin conductance as severity screening of cardiovascular autonomic neuropathy in type 2 diabetes
Cheng-Hsien Lu
Chang Gung Memorial Hospital Kaohsiung Branch
Corresponding Author
ORCiD: https://orcid.org/0000-0002-5716-3930
License:
This work is licensed under a CC BY 4.0 License. Read Full License
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.
Keywords
Cardiovascular autonomic neuropathy, Electrochemical skin conductance, Heart rate variability, Type 2 diabetes and prediabetes
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This is a preprint. It has not completed peer review.
Original investigation
Integrating heart rate variability and electrochemical skin conductance as severity screening of cardiovascular autonomic neuropathy in type 2 diabetes
Cheng-Hsien Lu
Chang Gung Memorial Hospital Kaohsiung Branch
Corresponding Author
ORCiD: https://orcid.org/0000-0002-5716-3930
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 29 May, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Cardiac & Cardiovascular Systems
License:
This work is licensed under a CC BY 4.0 License. Read Full License
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.
Figure 1
Figure 2