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Objective We investigated factors affecting the disability assessment Longshi scale, and differences between the Longshi and Barthel scales, as well as modified Rankin scale (mRS), to determine whether the Longshi scale is superior to the other scales. Methods This cross-sectional study included 721 participants with disability. We performed the t -test, analysis of variance, Pearson’s correlation test, and multiple linear regression to analyze group differences and define explanatory variables. Results The Longshi scale had a strong positive correlation with the Barthel scale (r = 0.868) but a weak negative correlation with the mRS (r = –0.185). Scores obtained among seven study hospitals in two provinces of southeast China were significantly different (F = 8.034). Social activities of participants with disability can be positively predicted using the Longshi (β = 0.251) and Barthel scales (β = 0.276). However, age has a weak negative correlation with the Longshi scale (r = –0.163). Conclusion Training did not cause significant variations in assessment using the Longshi scale. However, the results differed among different regions. The Longshi scale showed a strong correlation with the Barthel scale but a weak correlation with the mRS. Assessment time was shorter using the Longshi scale and the scale can be used to predict the social activities of individuals with disability.

Stroke is a cerebrovascular circulation disorder with sudden onset, which causes disorder of ion balance, inflammation, and acidosis, and that in turn induces ischemia-reperfusion injury, influencing the prognosis of stroke patients. Long noncoding RNAs (lncRNAs) are regulatory sequences involved at the transcriptional, post-transcriptional, and epigenetic levels, have high specific expression in the central nervous system, and effectively regulate the development of the central nervous system and progression of diseases. Stroke induces changes in the expression of many lncRNAs. Therefore, lncRNAs play an important role in the complex pathological process of stroke. Exploring lncRNA could facilitate a comprehensive understanding of the pathological mechanism of stroke and the post-injury molecular regulatory network. However, there are few reports on the role of lncRNA in the pathological development of stroke. In the present review, we discuss the association of lncRNA with post-stroke injury repair.