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Carpal tunnel syndrome severity staging using sonographic and clinical measures. | LitMetric

Carpal tunnel syndrome severity staging using sonographic and clinical measures.

Muscle Nerve

School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, Ohio, USA.

Published: June 2015

AI Article Synopsis

  • Ultrasonography can help stage the severity of carpal tunnel syndrome by combining various clinical and sonographic measures.
  • A study involving 104 participants created a preliminary scoring system based on highly correlated variables, leading to an 8-point scale for severity classification.
  • The best-fit model accurately classified severity for about 79.8% of participants and suggests that incorporating additional nerve assessment techniques could improve future evaluations.

Article Abstract

Introduction: Ultrasonography may be valuable in staging carpal tunnel syndrome severity, especially by combining multiple measures. This study aimed to develop a preliminary severity staging model using multiple sonographic and clinical measures.

Methods: Measures were obtained in 104 participants. Multiple categorization structures for each variable were correlated to diagnostic severity based on nerve conduction. Goodness-of-fit was evaluated for models using iterative combinations of highly correlated variables. Using the best-fit model, a preliminary scoring system was developed, and frequency of misclassification was calculated.

Results: The severity staging model with best fit (rho 0.90) included patient-reported symptoms, functional deficits, provocative testing, nerve cross-sectional area, and nerve longitudinal appearance. An 8-point scoring scale classified severity accurately for 79.8% of participants.

Conclusions: This severity staging model is a novel approach to carpal tunnel syndrome evaluation. Including more sensitive measures of nerve vascularity, nerve excursion, or other emerging techniques may refine this preliminary model.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4388767PMC
http://dx.doi.org/10.1002/mus.24478DOI Listing

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