Abstract

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.
Original languageEnglish
JournalMuscle & Nerve
Volume71
Issue number2
Pages (from-to)183-190
Number of pages8
ISSN0148-639X
DOIs
Publication statusPublished - Feb 2025

Keywords

  • clinical endpoints
  • diabetic peripheral neuropathy
  • diagnostic tests
  • electrophysiology
  • small fiber neuropathy

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