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ORIGINAL RESEARCH article

Front. Neurol.
Sec. Stroke
Volume 15 - 2024 | doi: 10.3389/fneur.2024.1478206

Risk factors for Post-stroke Spasticity: a retrospective study

Provisionally accepted
Chuanxi Zhu Chuanxi Zhu 1Lingxu Li Lingxu Li 1Long Qiu Long Qiu 1Guangcheng Ji Guangcheng Ji 1,2*
  • 1 Changchun University of Chinese Medicine, Changchun, China
  • 2 The Third Affiliated Clinical Hospital of Changchun University of Traditional Chinese Medicine, Jilin, China

The final, formatted version of the article will be published soon.

    Background：Post-stroke spasticity(PSS) is a common complication after stroke and is an important cause of high rates of disability after stroke. Modern medicine today has yet to make any breakthrough in the treatment of PSS, and completely effective drugs and therapies are not yet available. As such, PSS prevention becomes the focus in current clinical practice, and the top priority now is to study the risk factors of PSS, and adopt the corresponding prevention and treatment measures. Method: This is a retrospective study. 436 stroke patients who visited the Neurology Department of the Third Affiliated Clinical Hospital of Changchun University of Chinese Medicine from June 2020 to November 2020 were selected as study subjects, and finally 257 patients were included in the final analysis, and divided into 101 cases with spasticity and 156 cases without spasticity, depending on whether or not the stroke victim had a spasm at the time of admission. Results: The multivariate regression analysis showed that basal ganglia as the cerebral haemorrhage or infarction site(OR=4.930, 95%CI=2.743-8.86, P=0.000), cerebral haemorrhage or infarction volume(OR=1.087, 95%CI=1.016-1.164, P=0.016) and NIHSS scores(OR=1.232, 95%CI=1.089-1.393, P=0.001) are independent influencing factors and independent risk factors for spasticity (P<0.05). A risk prediction model for spasticity in stroke patients is derived with the multivariate logistic regression analysis: Logit (P) = 1.595 * Basal ganglia + 0.084 * infarct volume + 0.208 * NIHSS scores -2.092. An evaluation of the goodness of fit using the ROC curve showed AUC (95% CI) = 0.786(0.730-0.843), an indication of a high degree of model fit. Conclusion: Independent risk factors for Post-stroke spasticity include basal ganglia as the cerebral haemorrhage or infarction site, cerebral haemorrhage or infarction volume and NIHSS scores.

    Keywords: Stroke, Spasticity, Influence factors, Post-stroke spasticity, retrospective cohort study. Abstract：

    Received: 09 Aug 2024; Accepted: 04 Dec 2024.

    Copyright: © 2024 Zhu, Li, Qiu and Ji. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Guangcheng Ji, Changchun University of Chinese Medicine, Changchun, China

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