Brain Sciences (Dec 2023)

Image Findings as Predictors of Fall Risk in Patients with Cerebrovascular Disease

  • Tatsuya Tomita,
  • Hisanori Yuminaga,
  • Hideki Takashima,
  • Takashi Masuda,
  • Tomoo Mano

DOI
https://doi.org/10.3390/brainsci13121690
Journal volume & issue
Vol. 13, no. 12
p. 1690

Abstract

Read online

This study examined computed tomography findings in patients with cerebrovascular disease and determined predictors for falls. Images of the head were divided into 13 regions, and the relationships between computed tomography findings and the presence or absence of falls were investigated. A total of 138 patients with cerebrovascular disease (66% men, aged 73.8 ± 9.6 years) were included. A comparison between the fall and non-fall groups revealed a significant difference in the total functional independence measure scores and imaging findings at admission. Logistic regression analysis showed that the thalamus (p p p p p p p p p p p < 0.05) were extracted as factors related to the presence or absence of falls. This study found a relationship between the thalamus, lateral ventricle enlargement, periventricular lucency, and falls. Fall prognosis can potentially be predicted from computed tomography findings at admission.

Keywords