神经系统疾病住院患者跌倒的危险因素-跌倒后分析

Michaela Miertová, Ivana Bóriková, Martina Tomagová, Jaroslav Madleňák, M. Grendár, A. Barnau
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引用次数: 1

摘要

介绍:跌倒后分析跌倒危险因素是降低住院患者跌倒风险的有效干预措施。研究目的:确定住院期间跌倒的神经系统疾病患者的重大跌倒危险因素。材料与方法:采用回顾性定量横断面研究方法,选取2014年1月1日至2020年1月1日在神经内科住院的成人患者40例。研究方案包括选择的跌倒危险因素、莫尔斯跌倒量表(MFS)和Barthel ADL指数。随机森林法用于识别显著的跌倒危险因素。采用ROC加AUC来评估跌倒危险因素的预测价值。结果:患者平均年龄70.50±15.20岁。样本中最常见的跌倒危险因素包括:步态、平衡和活动障碍,多种疾病≥5种医学诊断,多种药物治疗≥5种药物类别。平均MFS评分较高(75.8±26.6),跌倒后MFS评分升高(97.8),预示跌倒风险
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk factors of falling among hospitalized patients with neurological disease – post-fall analysis
Introduction: Post-fall analysis of fall risk factors is an effective intervention in minimizing the fall risk in inpatients. Aim of the research: To identify significant fall risk factors in patients with neurological disease, who fell during hospitalization. Material and methods: Forty adult inpatients were included in a retrospective quantitative cross-sectional study, who fell in the neurological department in the period 01/2014–01/2020. The research protocol contains selected fall risk factors, the Morse Fall Scale (MFS), and the Barthel ADL Index. The Random Forest method was used to identify significant fall risk fac- tors. ROC with AUC was used to assess the predictive value of fall risk factors. Results: The mean age of the sample was 70.50 ±15.20 years. The most common fall risk factors in the sample included the following: gait, balance and mobility disorders, polymorbidity ≥ 5 medical diagnoses, and polypharmacotherapy ≥ 5 drug classes. The mean MFS score was high (75.8 ±26.6), and the after-fall MFS score increased (97.8 fall predictive of fall risk
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