{"title":"Postural Sway Characteristics Distinguish Types of Dementia","authors":"Kosuke Fujita PhD , Taiki Sugimoto PhD , Hisashi Noma PhD , Yujiro Kuroda PhD , Nanae Matsumoto PhD , Kazuaki Uchida PhD , Yoko Yokoyama MS , Yoshinobu Kishino MD , Takashi Sakurai MD, PhD","doi":"10.1016/j.jamda.2025.105497","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>The increasing number of patients with dementia necessitates the development of rapid and convenient tools to assist with dementia diagnosis. We previously demonstrated the difference in the postural control characteristics during static standing among Alzheimer disease (AD), dementia with Lewy bodies (DLB), and vascular dementia (VaD). In this study, we evaluated the classification accuracy of the postural sway test to assess its capacity to distinguish between types of dementia.</div></div><div><h3>Design</h3><div>A cross-sectional study.</div></div><div><h3>Setting and Participants</h3><div>Memory clinic outpatients aged 65-85 years who were clinically diagnosed with AD, DLB, VaD, and cognitively normal (CN) outpatients.</div></div><div><h3>Methods</h3><div>Static upright standing measurements were conducted under open- and closed-eye conditions to calculate 40 parameters. After variable selection based on statistical significance, 3 dementia classification models (AD vs DLB, AD vs VaD, and DLB vs VaD) based on postural control parameters were created. Bias-corrected accuracy measures using bootstraps were used for assessing the classification performances.</div></div><div><h3>Results</h3><div>The data of 1734 participants (1158 with AD, 105 with DLB, 46 with VaD, and 425 with CN) were analyzed. The area under the curves of receiver operating characteristic curves for AD vs DLB, AD vs VaD, and DLB vs VaD were 0.647 (0.646-0.649), 0.763 (0.761-0.765), and 0.659 (0.656-0.662), respectively.</div></div><div><h3>Conclusions and Implications</h3><div>Postural control characteristics differentiated between dementia types with reasonable to good accuracy, especially in the comparison between AD and VaD. Postural control testing may become a valuable assistive tool for dementia diagnosis in the future.</div></div>","PeriodicalId":17180,"journal":{"name":"Journal of the American Medical Directors Association","volume":"26 4","pages":"Article 105497"},"PeriodicalIF":4.2000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Medical Directors Association","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1525861025000143","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
目的:随着痴呆症患者人数的不断增加,有必要开发快速、便捷的工具来帮助诊断痴呆症。我们曾证实,阿尔茨海默病(AD)、路易体痴呆(DLB)和血管性痴呆(VaD)患者在静态站立时的姿势控制特征存在差异。在本研究中,我们评估了姿势摇摆测试的分类准确性,以评估其区分痴呆类型的能力:设计:横断面研究:方法:静态直立站立测量在无遮挡的情况下进行:在睁眼和闭眼条件下进行静态直立测量,计算 40 个参数。根据统计学意义选择变量后,根据姿势控制参数创建了3种痴呆分类模型(AD vs DLB、AD vs VaD和DLB vs VaD)。使用自举法进行偏差校正准确度测量,以评估分类效果:对1734名参与者(1158名AD患者、105名DLB患者、46名VaD患者和425名CN患者)的数据进行了分析。AD与DLB、AD与VaD、DLB与VaD的接收者操作特征曲线下面积分别为0.647(0.646-0.649)、0.763(0.761-0.765)和0.659(0.656-0.662):体位控制特征区分痴呆类型的准确性尚可,尤其是在AD和VaD的比较中。未来,姿势控制测试可能会成为诊断痴呆症的重要辅助工具。
Postural Sway Characteristics Distinguish Types of Dementia
Objectives
The increasing number of patients with dementia necessitates the development of rapid and convenient tools to assist with dementia diagnosis. We previously demonstrated the difference in the postural control characteristics during static standing among Alzheimer disease (AD), dementia with Lewy bodies (DLB), and vascular dementia (VaD). In this study, we evaluated the classification accuracy of the postural sway test to assess its capacity to distinguish between types of dementia.
Design
A cross-sectional study.
Setting and Participants
Memory clinic outpatients aged 65-85 years who were clinically diagnosed with AD, DLB, VaD, and cognitively normal (CN) outpatients.
Methods
Static upright standing measurements were conducted under open- and closed-eye conditions to calculate 40 parameters. After variable selection based on statistical significance, 3 dementia classification models (AD vs DLB, AD vs VaD, and DLB vs VaD) based on postural control parameters were created. Bias-corrected accuracy measures using bootstraps were used for assessing the classification performances.
Results
The data of 1734 participants (1158 with AD, 105 with DLB, 46 with VaD, and 425 with CN) were analyzed. The area under the curves of receiver operating characteristic curves for AD vs DLB, AD vs VaD, and DLB vs VaD were 0.647 (0.646-0.649), 0.763 (0.761-0.765), and 0.659 (0.656-0.662), respectively.
Conclusions and Implications
Postural control characteristics differentiated between dementia types with reasonable to good accuracy, especially in the comparison between AD and VaD. Postural control testing may become a valuable assistive tool for dementia diagnosis in the future.
期刊介绍:
JAMDA, the official journal of AMDA - The Society for Post-Acute and Long-Term Care Medicine, is a leading peer-reviewed publication that offers practical information and research geared towards healthcare professionals in the post-acute and long-term care fields. It is also a valuable resource for policy-makers, organizational leaders, educators, and advocates.
The journal provides essential information for various healthcare professionals such as medical directors, attending physicians, nurses, consultant pharmacists, geriatric psychiatrists, nurse practitioners, physician assistants, physical and occupational therapists, social workers, and others involved in providing, overseeing, and promoting quality