Henkel Cornelia, Seibert Susan, Nichols Widmann Catherine
University Hospital Bonn, Center for Neurology, Bonn, Germany.
German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Dement Geriatr Cogn Disord. 2025;54(2):109-119. doi: 10.1159/000541627. Epub 2024 Sep 28.
Timely detection of cognitive impairment such as mild cognitive impairment (MCI) or dementia is pivotal in initiating early interventions to improve patients' quality of life. Conventional paper-pencil tests, though common, have limited sensitivity in detecting subtle cognitive changes. Computerized assessments offer promising alternatives, overcoming time and manual scoring constraints while potentially providing greater sensitivity.
A literature search yielded 26 eligible articles (2020-2023). The articles were reviewed according to PRISMA guidelines, and the computerized tools were categorized by diagnostic outcome (MCI, dementia, combined).
The subjects included in the studies were aged 55-77 years. The overall gender distribution comprised 60% females and 40% males. The sample sizes varied considerably from 22 to 4,486. Convergent validity assessments in 20 studies demonstrated strong positive correlations with traditional tests. Overall classification accuracy in detecting MCI or dementia, distinguishing from normal cognition (NC), reached up to 91%. Impressively, 46% of the studies received high-quality ratings, underscoring the reliability and validity of the findings.
The review highlights the advancements in computerized cognitive assessments for assessing MCI and dementia. This shift toward technology-based assessments could enhance detection capabilities and facilitate timely interventions for better patient outcomes.
及时发现轻度认知障碍(MCI)或痴呆等认知障碍对于启动早期干预以改善患者生活质量至关重要。传统的纸笔测试虽然常见,但在检测细微认知变化方面灵敏度有限。计算机化评估提供了有前景的替代方案,克服了时间和人工评分的限制,同时可能具有更高的灵敏度。
文献检索得到26篇符合条件的文章(2020 - 2023年)。根据PRISMA指南对文章进行综述,并根据诊断结果(MCI、痴呆、综合)对计算机化工具进行分类。
研究纳入的受试者年龄在55 - 77岁之间。总体性别分布为女性60%,男性40%。样本量差异很大,从22到4486不等。20项研究中的收敛效度评估表明与传统测试有很强的正相关。在检测MCI或痴呆、区分正常认知(NC)方面的总体分类准确率高达91%。令人印象深刻的是,46%的研究获得了高质量评级,突出了研究结果的可靠性和有效性。
该综述强调了计算机化认知评估在评估MCI和痴呆方面的进展。这种向基于技术的评估的转变可以提高检测能力,并促进及时干预以获得更好的患者预后。