Reliability of a novel point of care device for monitoring diabetic peripheral neuropathy

• Published in: Scientific reports Vol. 13; no. 1; pp. 19043 - 9
• Main Authors: Grabowska, W., King, R., Roll, S., Habermann, I. V., Hörder, S., Hahn, K., Willich, S. N., Schröder, S., Brinkhaus, B., Dietzel, J.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 03.11.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 631/378/1689; 631/378/1689/2610; Acupuncture; Correlation coefficient; Diabetes; Diabetes mellitus; Humanities and Social Sciences; multidisciplinary; Nerve conduction; Peripheral neuropathy; Science; Science (multidisciplinary); Sural nerve; Velocity; Within-subjects design
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-023-45841-6

We aimed to assess DPNCheck’s reliability for repeated sural nerve conduction (NC) parameters. This post hoc analysis used data from the randomized controlled ACUDPN trial assessing NC of the N. Suralis every eight weeks over a 6-month period in 62 patients receiving acupuncture against diabetic peripheral neuropathy (DPN) symptoms. The reliability of DPNCheck for nerve conduction velocity and amplitude was assessed using intraclass correlation coefficients (ICC) and was calculated using data from single time points and repeated measures design. The results of the NC measurements were correlated with the Total Neuropathy Score clinical (TNSc). Overall, for both nerve velocity and amplitude, the reliability at each measurement time point can be described as moderate to good and the reliability using repeated measures design can be described as moderate. Nerve velocity and amplitude showed weak correlation with TNSc. DPNCheck’s reliability results question its suitability for monitoring DPN’s progression. Given the limitation of our analysis, a long-term, pre-specified, fully crossed study should be carried out among patients with DPN to fully determine the suitability of the device for DPN progression monitoring. This was the first analysis assessing the reliability of the DPNCheck for DPN progression monitoring using data from multiple collection time points.