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Orthopaedic Proceedings
Vol. 103-B, Issue SUPP_13 | Pages 36 - 36
1 Nov 2021
Balzani LAD Albo E Tirone B Torre G Stelitano G Capperucci C Denaro V
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Introduction and Objective

Carpal tunnel syndrome (CTS) is a very common compressive neuropathy involving the median nerve. The typical symptoms are paraesthesia, dysesthesia and loss of strength; in severe case, this compression deteriorates the sensorimotor control of the hand and interferes with the adjustment of the forces at the level of the fingers, thus affecting the components that are the basis of dexterity and control of fine movements. For these reasons, the CTS has repercussions on various activities of daily life, including writing skills. Word processing via PC and mobile device (touch-typing) require a fine control of the hand-wrist movement and of the opposition of the thumb, while in handwriting, gripping and gripping movements are carried out in a protracted manner. In modern society, present skills play a role of fundamental importance from an educational, professional and social point of view.

The aim of the study is to describe the effects of carpal tunnel release (CTR) on handwriting and digital writing performance.

Materials and Methods

We recruited patients suffering from carpal tunnel syndrome (CTS) who were candidates for CTR surgery and collected clinical and demographic data, including age, occupation, duration of symptoms and electromyography outcomes. The first trial session was carried out before surgery and the subsequent ones at 1, 2, 3, 4, 8 and 12 weeks after the CTR. These trials involved copying a 500-character paragraph by handwriting, personal computer (PC) and mobile device, for which a dedicate Google Colab web page was computed. We used as parameters the speed, expressed in words per minute (wpm), and the accuracy of copying, which was measured in number of errors (en). Moreover in each session the patient filled in the QuickDASH (Disabilities of the Arm, Shoulder, and Hand) questionnaire. We used the one-way anova to evaluate the change in the three performances and in the QuickDASH score in follow-up sessions. We used the two-way anova to detect a possible interactions between speed improvement and groups of variables, namely gender, writing frequency, schooling, diabetes, dysthyroidism and metabolic syndrome.