Multiple Early Biomarkers to Predict Cognitive Decline in Dementia-Free Older Adults.

IF 2.9 4区 医学 Q2 CLINICAL NEUROLOGY Journal of Geriatric Psychiatry and Neurology Pub Date : 2024-09-01 Epub Date: 2024-02-09 DOI:10.1177/08919887241232650
Juan Li, Zhiying Jiang, Shengjie Duan, Xingxing Zhu
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Abstract

Introduction: Baseline olfactory impairment, poor performance on cognitive test, and medial temporal lobe atrophy are considered biomarkers for predicting future cognitive decline in dementia-free older adults. However, the combined effect of these predictors has not been fully investigated.

Methods: A group of 110 participants without dementia were continuously recruited into this study, and underwent olfactory, cognitive tests and MRI scanning at baseline and 5-year follow-up. Olfactory function was assessed using the University of Pennsylvania Smell Identification Test (UPSIT). Participants were divided into the cognitive decliners and non-decliners.

Results: Among 87 participants who completed the 5-year follow-up, cognitive decline was present in 32 cases and 55 remained stable. Compared with non-decliners, cognitive decliners presented lower scores on both the UPSIT and the Montreal Cognitive Assessment (MoCA), and smaller hippocampal volume at baseline (all P < .001). The logistic regression analysis revealed that lower scores on UPSIT and MoCA, and smaller hippocampal volume were strongly associated with subsequent cognitive decline, respectively (all P < .001). For the prediction of cognitive decline, lower score on UPSIT performed the sensitivity of 63.6% and specificity of 81.2%, lower score on MoCA with the sensitivity of 74.5% and specificity of 65.6%, smaller hippocampal volume with the sensitivity of 70.9% and specificity of 78.1%, respectively. Combining three predictors resulted in the sensitivity of 83.6% and specificity of 93.7%.

Conclusions: The combination of olfactory test, cognitive test with structural MRI may enhance the predictive ability for future cognitive decline for dementia-free older adults.

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预测无痴呆症老年人认知功能衰退的多种早期生物标志物
简介基线嗅觉障碍、认知测试表现不佳和内侧颞叶萎缩被认为是预测无痴呆症老年人未来认知能力下降的生物标志物。然而,这些预测因素的综合效应尚未得到充分研究:本研究连续招募了 110 名无痴呆症的参与者,他们在基线和 5 年随访期间接受了嗅觉、认知测试和核磁共振成像扫描。嗅觉功能采用宾夕法尼亚大学气味识别测试(UPSIT)进行评估。参与者被分为认知能力下降者和非下降者:在完成 5 年随访的 87 名参与者中,32 例出现认知功能下降,55 例保持稳定。与未出现认知衰退者相比,认知衰退者在 UPSIT 和蒙特利尔认知评估(MoCA)中的得分均较低,海马体积在基线时也较小(均 P < .001)。逻辑回归分析表明,UPSIT和MoCA得分较低以及海马体体积较小分别与随后的认知能力下降密切相关(均为P < .001)。在预测认知功能衰退方面,UPSIT评分较低的敏感性为63.6%,特异性为81.2%;MoCA评分较低的敏感性为74.5%,特异性为65.6%;海马体积较小的敏感性为70.9%,特异性为78.1%。综合三项预测指标,灵敏度为 83.6%,特异性为 93.7%:将嗅觉测试、认知测试与结构磁共振成像相结合,可提高对无痴呆症老年人未来认知能力下降的预测能力。
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来源期刊
CiteScore
6.20
自引率
0.00%
发文量
40
审稿时长
>12 weeks
期刊介绍: Journal of Geriatric Psychiatry and Neurology (JGP) brings together original research, clinical reviews, and timely case reports on neuropsychiatric care of aging patients, including age-related biologic, neurologic, and psychiatric illnesses; psychosocial problems; forensic issues; and family care. The journal offers the latest peer-reviewed information on cognitive, mood, anxiety, addictive, and sleep disorders in older patients, as well as tested diagnostic tools and therapies.
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