Author:
Ren Zhongyu,Ye Shangrong,Nie Qi,Feng Junlin,Liu Kaixiang,Li Qinghua,Wen Jian
Abstract
AbstractIschemic stroke stands as a prevalent neurological ailment, where a paucity of methodologies exists for the assessment of functional outcomes post-stroke. Our objective was the development of a WeChat applet for the evaluation of muscle strength and the subsequent evaluation of its validity in ischemic stroke patients experiencing motor dysfunction. The assessment encompassed Lovett and NIHSS, followed by muscle strength values (MSV) and muscle strength ratios (MSR). These metrics were then scrutinized in relation to NIHSS and Lovett, followed by examination of their interrelationships. We enrolled a cohort of 157 patients, with an average age of 65 years, consisting of 96 males and 61 females. Lovett scores in the range of 2–4 and NIHSS scores spanning from 0 to 3 were found to correspond to specific values of MSV and MSR, respectively. Upon conducting correlation analysis, we noted that both MSV and MSR exhibited significant positive correlations with Lovett scores and NIHSS. Remarkably, the correlation of MSR with Lovett scores or NIHSS surpassed that of MSV. The WeChat applet offers a means of digitization and visualization of muscle strength. It correlates well with Lovett score and NIHSS, especially MSR. This bears potential significance in guiding the rehabilitation of stroke patients.
Funder
Guilin Scientific Research and Technology Development Plan
Guangxi Cloud Computing and Big Data Collaborative Innovation Center
Guangxi Key Research and Development Program
Research and Innovation Base for Basic and Clinical Application of Nerve Injury and Repair
National Natural Science Foundation of China
Natural Science Foundation of Guangxi Province
Publisher
Springer Science and Business Media LLC
Cited by
1 articles.
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