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言语相关参数是轻度阿尔茨海默病乙酰胆碱酯酶抑制剂治疗的敏感指标。

Speech-related parameters are sensitive measures of acetylcholinesterase inhibitor therapy in mild Alzheimer's disease.

机构信息

Department of Psychiatry, University of Szeged, Szeged, Hungary.

MTA-SZTE Research Group on Artificial Intelligence, Szeged, Hungary.

出版信息

PLoS One. 2024 Aug 20;19(8):e0308409. doi: 10.1371/journal.pone.0308409. eCollection 2024.

DOI:10.1371/journal.pone.0308409
PMID:39163290
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11335108/
Abstract

Our aim was to find out whether speech-related temporal parameters (SRTPs) are sensitive indicators of the clinical outcome in acetylcholinesterase (AChE) inhibitor therapy with donepezil, compared to the standard cognitive Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) used in clinical trials. In this 24-week-long, naturalistic, self-control, open-labeled, prospective pilot study with 10 mg donepezil on 20 mild AD patients, cognitive functions were evaluated using 15 different SRTPs analyzed by automatic speech recognition in the Speech-Gap Test® compared to ADAS-Cog test results. Among the SRTPs, the filled pause duration ratio significantly improved after 12 weeks of donepezil treatment. During the 24-week follow-up, additional SRTPs such as the filled pause count ratio and the filled pause frequency showed significant benefits. ADAS-Cog total scores showed a slight but not significant improvement compared to baseline after 12 and 24 weeks of donepezil treatment. Among the ADAS-Cog subtests, only orientation improved significantly after 24 weeks of donepezil treatment. Our results indicate that subtle changes in SRTPs measured by the Speech-Gap Test® could be considered as sensitive indicators of the efficacy of the pharmacotherapy in mild AD. According to our data, other cognitive domains did not show improvement in response to donepezil therapy rating by ADAS-Cog. Based on all of this, it is likely that examining and evaluating speech parameters may play an important role in determining the effects of pharmacological treatment of mild AD. The novelty of our study is that it applies the measurement of linguistic parameters as primary outcomes during a drug trial of mild AD in scientific research for the first time.

摘要

我们的目的是确定在与临床试验中使用的标准认知阿尔茨海默病评估量表-认知子量表(ADAS-Cog)相比,与言语相关的时间参数(SRTPs)是否可以作为多奈哌齐乙酰胆碱酯酶抑制剂治疗的临床疗效的敏感指标。在这项为期 24 周、自然、自我控制、开放性、前瞻性试验研究中,20 例轻度 AD 患者使用 10mg 多奈哌齐,通过自动言语识别分析 Speech-Gap Test®中的 15 种不同的 SRTP,与 ADAS-Cog 测试结果进行比较。在这些 SRTP 中,填充停顿时间比在多奈哌齐治疗 12 周后显著改善。在 24 周的随访中,其他 SRTP,如填充停顿计数比和填充停顿频率也显示出显著的益处。与多奈哌齐治疗 12 周和 24 周后的基线相比,ADAS-Cog 总分略有改善,但无统计学意义。在 ADAS-Cog 子测试中,只有定向在多奈哌齐治疗 24 周后显著改善。我们的结果表明,Speech-Gap Test®测量的 SRTP 中的细微变化可以被认为是轻度 AD 药物治疗疗效的敏感指标。根据我们的数据,其他认知领域在多奈哌齐治疗后没有显示出改善,ADAS-Cog 评分也没有改善。基于所有这些,检查和评估言语参数可能在确定轻度 AD 药物治疗效果方面发挥重要作用。我们的研究的新颖之处在于,它首次将语言参数的测量作为轻度 AD 药物试验的主要结果应用于科学研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa0/11335108/ce622797ac57/pone.0308409.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa0/11335108/ce622797ac57/pone.0308409.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa0/11335108/ce622797ac57/pone.0308409.g001.jpg

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本文引用的文献

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Temporal Speech Parameters Detect Mild Cognitive Impairment in Different Languages: Validation and Comparison of the Speech-GAP Test® in English and Hungarian.不同语言中的时间性言语参数可检测轻度认知障碍:Speech-GAP 测试®在英语和匈牙利语中的验证和比较。
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Alzheimer's Disease: Key Insights from Two Decades of Clinical Trial Failures.阿尔茨海默病:二十年临床试验失败的关键洞察。
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Temporal Speech Parameters Indicate Early Cognitive Decline in Elderly Patients With Type 2 Diabetes Mellitus.
时间域言语参数可提示 2 型糖尿病老年患者早期认知功能衰退。
Alzheimer Dis Assoc Disord. 2022;36(2):148-155. doi: 10.1097/WAD.0000000000000492. Epub 2022 Mar 16.
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Measuring neuropsychiatric symptoms in patients with early cognitive decline using speech analysis.使用语音分析测量早期认知衰退患者的神经精神症状。
Eur Psychiatry. 2021 Oct 13;64(1):e64. doi: 10.1192/j.eurpsy.2021.2236.
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Dementia risks identified by vocal features via telephone conversations: A novel machine learning prediction model.通过电话交谈中的声音特征识别痴呆症风险:一种新的机器学习预测模型。
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A systematic literature review of automatic Alzheimer's disease detection from speech and language.基于语音和语言的阿尔茨海默病自动检测的系统文献回顾。
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The Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog): Modifications and Responsiveness in Pre-Dementia Populations. A Narrative Review.阿尔茨海默病评估量表认知分量表(ADAS-Cog):在痴呆前人群中的修改和反应性。一项叙述性综述。
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A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech.一种基于语音识别的解决方案,用于从自发语音中自动检测轻度认知障碍。
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