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首页> 外文期刊>International Journal of Chronic Obstructive Pulmonary Disease >Which Balance Subcomponents Distinguish Between Fallers and Non-Fallers in People with COPD?
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Which Balance Subcomponents Distinguish Between Fallers and Non-Fallers in People with COPD?

机译:哪个平衡子组件区分了COPD的人们的衰落和非衰落?

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Rationale: Chronic obstructive pulmonary disease (COPD) is an increasingly prevalent lung disease linked to dysfunctional balance and an increased risk of falls. The Balance Evaluation Systems Test (BESTest) evaluates the six underlying subcomponents of functional balance. The aim of this study was to determine the specific balance subcomponents and cut-off scores that discriminate between fallers and non-fallers with COPD to guide fall risk assessment and prevention. Methods: A secondary analysis of cross-sectional data from two prior studies in COPD was performed. Independent samples t -tests were used to explore the differences in the BESTest sub-system scores between fallers and non-fallers. Receiver operating characteristic curves were used to determine the optimal subcomponent cut-off scores that identified fallers, and the area under the curve (AUC) was used to assess test accuracy. Results: Data from 72 subjects with COPD (mean age, 70.3 ± 7.4y; mean forced expiratory volume in 1 second, 38.9 ± 15.8% predicted) were analyzed. Two BESTest subcomponents, stability limits/verticality (fallers: 75.4%, non-fallers: 83.8%; p=0.002) and postural responses (fallers: 67.5%, non-fallers: 79.7%; p=0.008) distinguished between fallers and non-fallers. Stability limits/verticality had an AUC of 0.70 and optimal cut-off score of 73.8% for identifying fallers; postural responses had an AUC of 0.67 and optimal cut-off score of 69.4%. Conclusion: The stability limits/verticality and postural responses subcomponents of the BESTest distinguished between fallers and non-fallers with COPD. The stability limits/verticality subcomponent can also be used to identify whether an individual with COPD is at risk of falling using a cut-off score of 73.8%. These findings suggest that specific subcomponents of balance could be targeted to optimize fall risk assessment and prevention in COPD.
机译:理由:慢性阻塞性肺病(COPD)是一种越来越普遍的肺部疾病,与功能失调平衡和跌倒风险增加。平衡评估系统测试(Bestest)评估六个潜在的功能平衡子组分。本研究的目的是确定具体的平衡子组件和截止得分,以歧视衰落和非衰落者与COPD之间的非衰落,以指导秋季风险评估和预防。方法:进行来自COPD的两次先前研究的横截面数据的二次分析。独立样本T -Tests用于探讨衰落和非衰落之间最佳子系统分数的差异。接收器操作特征曲线用于确定识别衰落的最佳子组分截止分数,并且曲线下的区域(AUC)用于评估测试精度。结果:来自COPD 72个科目的数据(平均年龄,70.3±7.4y;平均强制呼气量在1秒内,预测38.9±15.8%)。两个最好的子组件,稳定性限制/垂直性(衰退:75.4%,非衰退:83.8%; P = 0.002)和姿势反应(衰退:67.5%,非衰退:79.7%; P = 0.008)区分衰落和非-Ploverers。稳定性限制/垂直度的AUC为0.70,最佳截止值为73.8%,用于识别衰退;姿势反应的AUC为0.67,最佳切断得分为69.4%。结论:稳定性限制/垂直性和姿势反应的最佳衰落和非衰落与COPD之间的最佳区分。稳定性限制/垂直度子组件也可用于识别具有COPD的个体是否有可能使用截止分数为73.8%的抑制。这些调查结果表明,余额的具体子组件可以针对优化COPD的秋季风险评估和预防。

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