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  • Title: [Factors predicting falls by patients with vascular hemiplegia at a physical medicine center].
    Author: Foucault P, Visentin C, Meklat H, Bergeal E, Benaïm C, Kemoun G, Vial D.
    Journal: Ann Readapt Med Phys; 2005 Dec; 48(9):668-74. PubMed ID: 16023756.
    Abstract:
    OBJECTIVES: To determine factors predicting falls by patients with vascular hemiplegia to establish a program aimed at preventing falls in this population. METHODS: A comparative prospective study performed over 19 months with 44 patients older than 16 years who had had a cerebral vascular accident (CVA, stroke) and were consequently admitted to the Centre Richelie. The exclusion criteria were represented by CVA history, evidence of another form of encephalic lesion, and subsequent admission to hospital after hemiplegia or for follow-up. Assessment consisted of taking note of the mechanism of the fall, possible lesions, and number of falls and analyzing follow-up after the return home. Also included for all patients was information on 20 variables that could be risk factors for fall. RESULTS: The patients' average age was 60.43+/-13.43 years and 20 had had at least one fall (mean 2.2), which allowed us to determine a "falling" group and a control group. Statistical analysis revealed the following factors considered to predict falls: large amount of time prior to hospitalization and lengthy hospitalization, low functional independence measure for entering and leaving, the existence of sensitivity disorders, spatial neglect, failed seated and standing equilibrium, and sedative treatment. In most cases, whatever their nature, falls occurred during transfers (68% of cases). Most often, the post-fall lesions were minor. However, in one case, a femur neck fracture necessitated osteosynthesis. One-third of the patients had a fall at home (as opposed to 5% of the control group). CONCLUSION: Our results confirm those in the literature. The predictive factors for falls in patients with hemiplegia are therefore well established and essentially correlate with the CVA. This consideration must lead to implementation of a prevention program including material-based as well as human measures.
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