Portaro Simona, Russo Margherita, Naro Antonino, Bramanti Alessia, Bramanti Placido, Rodolico Carmelo, Calabrò Rocco Salvatore
IRCCS Centro Neurolesi "Bonino-Pulejo", Messina, Italy.
Institute of Applied Sciences and Intelligent Systems "Edoardo Caianello" (ISASI), National Research Council of Italy, Messina, Italy.
J Neurol Sci. 2017 Apr 15;375:3-7. doi: 10.1016/j.jns.2017.01.038. Epub 2017 Jan 12.
Non-dystrophic (NDMs) and Dystrophic Myotonias (DMs) are diseases characterized by the presence of myotonia with or without muscle weakness. A standardized myotonia assessment is important to more objectively quantify the handgrip myotonia. We screened 10 patients affected by NDM and 10 patients with DM, using the sensor-engineered glove (SEG). The time required to perform a complete finger extension (grip myotonia time, GMT) at maximum velocity (MV) after maximum voluntary contraction (MVC) was evaluated through an ad hoc protocol including rest, exercise, and ice effects on handgrip myotonia. We observed a general trend to GMT increase when applying the ice block and a GMT decrease when repeating GM movements, at individual level in both NDM and DM patients. SEG is an automated, non-invasive, quick, and easy technique for evaluating handgrip myotonia in NDM and DM patients. SEG could, therefore, be considered a promising tool to evaluate myotonia and monitor treatment efficacy for clinical trials.
非萎缩性肌强直（NDMs）和萎缩性肌强直（DMs）是以存在肌强直为特征的疾病，伴有或不伴有肌肉无力。标准化的肌强直评估对于更客观地量化握力肌强直很重要。我们使用传感器工程手套（SEG）对10例NDM患者和10例DM患者进行了筛查。通过包括休息、运动和冰敷对握力肌强直影响的特定方案，评估了在最大自主收缩（MVC）后以最大速度（MV）进行完全手指伸展所需的时间（握力肌强直时间，GMT）。在NDM和DM患者的个体水平上，我们观察到应用冰块时GMT有总体增加趋势，重复GM动作时GMT有下降趋势。SEG是一种用于评估NDM和DM患者握力肌强直的自动化、非侵入性、快速且简便的技术。因此，SEG可被视为评估肌强直和监测临床试验治疗效果的有前景的工具。
