Improving Perception Threshold Tracking for Rapid Evaluation of Diabetic Peripheral Neuropathy

周围神经病变 外围设备 医学 糖尿病神经病变 物理医学与康复 糖尿病 感知 内科学 听力学 神经科学 心理学 内分泌学
作者
Frederik Østergaard Klit,Vitus Milver Bollerslev,Mette Krabsmark Borbjerg,Johan Røikjer,Niels Ejskjær,Carsten Dahl Mørch
出处
期刊:Muscle & Nerve [Wiley]
卷期号:71 (2): 183-190
标识
DOI:10.1002/mus.28310
摘要

Introduction/Aims Accurate assessment of diabetic peripheral neuropathy (DPN) is essential to prevent further complications, yet current methods have limitations. Perception threshold tracking (PTT) offers promise as a novel approach for rapid evaluation of both large and small fiber dysfunction. To enhance efficiency, this study explores the Psi method compared to the Method of Limits (MoL) in estimating perception thresholds. The aim is to assess agreement, uncertainty, and the number of stimuli required for adequate estimation by each method. Methods Forty-three participants with diabetes underwent an estimated sural nerve conduction study, quantitative sensory testing, vibration perception threshold testing, and PTT. PTT utilized both patch and pin electrode configurations to activate large and small fibers, respectively. The uncertainty of perception thresholds was estimated as the inverse slope of the psychometric functions. Results Perception thresholds were significantly higher for the patch electrode (2.5 [2.1–3.0] mA) compared to the pin electrode (0.71 [0.56–0.91] mA; rmANOVA, p < 0.001). Bland–Altman analysis revealed a non-significant 3.3% bias between the methods, but wide limits of agreement (−42%–84%). Uncertainty was lower for the Psi method (0.80 [0.58;1.11] mA) compared to MoL (2.0 [1.2;2.9] mA; rmANOVA, p < 0.005). The Psi method achieved acceptable perception threshold estimation with only 30 stimuli. Discussion At the group level, the MoL and Psi methods produced similar perception thresholds. However, the Psi method required fewer stimuli and yielded less uncertainty in perception threshold estimation compared to MoL. Future studies should prioritize the Psi method for its efficiency and reliability.
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