In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study

Inverted U-shaped relationship between Barthel Index Score and falls in Chinese non-bedridden patients: a cross-sectional study

BACKGROUND

Performing activities of daily living comprise an important risk factor for falls among non-bedridden stroke inpatients in rehabilitation departments.

OBJECTIVES

To explore the correlation between Barthel Index score and the occurrence of falls in non-bedridden stroke rehabilitation inpatients.

METHODS

In this cross-sectional study, information of patients grouped as non-bedridden patients by the Longshi Scale was collected.

RESULTS

A total of 3097 patients were included in this study, with a fall incidence of 10.43%. After adjusting covariates, the total score of Barthel Index and falls in non-bedridden inpatients after stroke presented an inverted U-shaped curve relationship, in which inflection point was 60. The effect sizes on the left and right sides of infection point were 1.02 (95%CI 1.00-1.04) and 0.97 (95%CI 0.96-0.99), respectively.

CONCLUSIONS

Non-bedridden stroke patients with moderate activities of daily living (ADL) capacity may be at particularly increased risk of falls in rehabilitation departments.

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

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 < 0.001), periventricular lucency (p < 0.001), lateral hemisphere room enlargement (p < 0.05), and age (p < 0.05) were related to the presence or absence of falls. For the 42 patients with cerebral hemorrhage, the thalamus (p < 0.01), periventricular lucency (p < 0.05), lateral ventricle vicinity (p < 0.05), and posterior limb of the internal capsule (p < 0.05) were extracted as factors related to the presence or absence of falls. For the 96 patients with cerebral infarction, the thalamus (p < 0.001), periventricular lucency (p < 0.01), and anterior limb of the internal capsule (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.