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Медицинская библиотека · Journal of musculoskeletal & neuronal interactions · 2024

"Mild", "Moderate", or "Severe" Carpal Tunnel Syndrome? Depends on Who You Ask: Analysis of Existing Classification Systems in 665 Hands.

Savage Nathan J, McKell John S

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Аннотация

OBJECTIVES

Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy in the body and impacts approximately 5% of the U.S. population costing nearly $5 billion/year. Electrodiagnostic (EDX) testing is considered the gold standard for CTS diagnosis. Classification systems exist that categorize CTS severity based on EDX findings. This investigation evaluated EDX findings across consecutive CTS severity categories within existing classification systems and consolidated classifications.

METHODS

This retrospective study analyzed 665 hands from 468 patients undergoing EDX testing for suspected CTS. Complete classification systems and consolidated classifications were evaluated for discrimination capability across consecutive CTS severity categories based on EDX findings. Additional analysis evaluated the relationship of sex and age factors and CTS severity.

RESULTS

Consolidated classifications demonstrated superior discrimination capability between consecutive CTS severity categories regardless of classification system used. Demographic factors significantly influenced EDX findings and categorization of CTS severity.

CONCLUSIONS

This study underscores the value of consolidated classifications for enhancing discrimination between consecutive CTS severity categories based on EDX findings. Demographic factors should be considered when interpreting EDX findings for the purpose of categorizing CTS severity. Future research should refine existing classification systems and explore additional factors influencing CTS severity used to inform medical management.

Для цитирования: Savage Nathan J, McKell John S. "Mild", "Moderate", or "Severe" Carpal Tunnel Syndrome? Depends on Who You Ask: Analysis of Existing Classification Systems in 665 Hands.. Journal of musculoskeletal & neuronal interactions. 2024.

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