Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India.
Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Clin Interv Aging. 2020 Mar 5;15:329-339. doi: 10.2147/CIA.S244707. eCollection 2020.
Screening and diagnostic tests provide an objective measure of cognitive performance and also aid in distinguishing mild cognitive impairment (MCI) from major neurocognitive disorder (MNCD). Further, when such tests are culturally and educationally unbiased, it strengthens their diagnostic utility. This study aimed to validate the Hindi version of Addenbrooke's Cognitive Examination III (ACE-III) in Indian older adults and compare its validity with the Hindi Mini-Mental State Examination (HMSE).
A sample of 412 consenting older adults visiting a memory clinic was recruited into the study. They were categorized into three groups: healthy controls (n=222), MCI (n=70), and MNCD (n=120). The complete clinical protocol was followed. Hindi ACE-III and HMSE were administered and were statistically analyzed.
The optimal cut-off values to detect MCI and MNCD with ACE-III were 71 and 62 (AUC: 0.849 and 0.884), respectively, which were slightly higher than with HMSE (AUC: 0.822, 0.861). Education- and age-stratified cut-offs were also computed.
Hindi ACE-III has good discriminating power at lower cut-offs than the standard scores in differentiating between MCI and MNCD.
筛查和诊断测试提供了认知表现的客观衡量标准，还有助于区分轻度认知障碍（MCI）和重大神经认知障碍（MNCD）。此外，当这些测试具有文化和教育公平性时，它们的诊断效用就会增强。本研究旨在验证印度版 Addenbrooke 认知测验第三版（ACE-III）在印度老年人中的有效性，并比较其与印地语简易精神状态检查（HMSE）的有效性。
一项针对同意参加的记忆诊所的 412 名老年人的样本被招募到研究中。他们被分为三组：健康对照组（n=222）、MCI 组（n=70）和 MNCD 组（n=120）。遵循完整的临床方案。进行了印地语 ACE-III 和 HMSE 的管理，并进行了统计分析。
ACE-III 检测 MCI 和 MNCD 的最佳截断值分别为 71 和 62（AUC：0.849 和 0.884），略高于 HMSE（AUC：0.822，0.861）。还计算了按教育程度和年龄分层的截断值。
与标准分数相比，印地语 ACE-III 在区分 MCI 和 MNCD 时，在较低的截断值下具有更好的区分能力。
