住院老年患者虚弱状态与跌倒风险的关联:急性老年病房的横断面研究

Abrar-Ahmad Zulfiqar, Perla Habchi, Ibrahima Amadou Dembele, Emmanuel Andres
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引用次数: 0

摘要

前言:目的是研究急性老年病房住院老年患者虚弱状态与跌倒风险的关系,并利用综合老年学评估来描述老年“跌倒者”的特征。患者和方法:一项横断面研究在65岁以上急性老年病房住院的患者中进行。这项工作于2016年6月1日至2016年8月15日在鲁昂大学医院中心圣朱利安医院急性老年医学科进行。结果:收集期间共纳入172例患者,其中女性占115例(66.9%)。样本平均年龄为79.37岁(65 ~ 85岁)。CHARLSON平均评分为6.93分(3−16分)。81.4%的患者来自家庭(即140名患者),18.6%的患者来自养老院(即32名患者)。经单足支撑试验评估,127例患者的跌倒风险恢复为异常。在我们的研究中,通过三种量表(改良SEGA量表、Fried量表和CFS/7量表)评估,跌倒风险与痴呆病理(p = 0.009)、维生素D缺乏(p = 0.03)、虚弱(p = 0.03)之间存在统计学上的强烈联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of Frailty Status with Risk of Fall among Hospitalized Elderly Patients: A Cross-Sectional Study in an Acute Geriatric Unit.

Introduction: The objective was to study the association of frailty status in hospitalized elderly patients with risk of fall in an acute geriatric unit and to characterize elderly “fallers” using a comprehensive gerontological assessment. Patients and Methods: A cross-sectional study was conducted in patients over 65 years of age and hospitalized in an acute geriatric unit. This work was carried out in the Acute Geriatric Medicine Unit, Saint-Julien Hospital, Center Hospitalier Universitaire de Rouen from 1 June 2016 to 15 August 2016. Results: 172 patients were included during the collection period, with a female predominance of 115 patients (66.9%). The average age of the sample was 79.37 years old (65−85). The average CHARLSON score was 6.93 (3−16). Patients came from home in 81.4% of cases (i.e., 140 patients), and from a nursing home in 18.6% of cases (i.e., 32 patients). The risk of falling, as assessed by the Monopodal Support Test, returned as abnormal for 127 patients. In our series, there was a statistically strong link between the risk of falling and the presence of a dementia pathology (p = 0.009), the presence of a vitamin D deficiency (p = 0.03), the presence of frailty, as assessed by the three scales (modified SEGA scale, Fried scale and CFS/7 (<0.001), a high comorbidity score (p = 0.04), and a disturbed autonomy assessment according to IADL (p = 1.02 × 10−5) and according to ADL (p = 6.4 × 10−8). There was a statistically strong link between the risk of falling and the occurrence of death (p = 0.01). Conclusion: The consequences of the fall in terms of morbidity and mortality and the frequency of this event with advancing age and its impact on the quality of life as well as on health expenditure justify a systematic identification of the risk of falling in the elderly population. It is therefore important to have sensitive, specific, and reproducible tools available for identifying elderly people at high risk of falling.

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