气味识别与痴呆症的发展:气味特征和集合大小的作用

IF 4 Q1 CLINICAL NEUROLOGY
Eva Dickmänken, Maria Larsson, Ingrid Ekström, Jonas Olofsson, Giulia Grande, Debora Rizzuto, Erika J Laukka
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引用次数: 0

摘要

简介:我们对 16 项气味识别(OID)测试的简版进行了评估:我们对16项气味识别(OID)测试的简版进行了评估,以确定其识别痴呆症高危人群的能力:我们对基于人群的SNAC-K研究(n = 2418)的参与者进行了长达12年的跟踪调查。我们根据嗅棒测试(SST)项目的可识别性和感知特征以及已有的测试版本,形成了13个简短的群组。通过 Cox 回归估算了痴呆症的危害:结果:在所有气味群中,OID得分越低,痴呆的危险性越大。在高可识别性群组中,得分较低与痴呆症的关系最为密切(危险比 = 1.39,95% 置信区间 [1.28-1.51])。此外,高强度气味组比低强度组与痴呆症的关系更密切(P = 0.02):讨论:研究结果表明,SST项目在与痴呆症的关联性方面存在差异,并支持在临床实践中缩小项目集的规模:在设计痴呆症筛查工具时应考虑气味的可识别性和感知特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Odor identification and progression to dementia: The role of odor characteristics and set size.

Introduction: We evaluated short versions of a 16-item odor identification (OID) test, with regard to their ability to identify individuals at high dementia risk.

Methods: Participants from the population-based SNAC-K study (n = 2418) were followed across 12 years. We formed 13 abbreviated clusters based on the identifiability and perceptual characteristics of the Sniffin' Sticks Test (SST) items, and pre-existing test versions. Dementia hazard was estimated with Cox regressions.

Results: Lower OID scores were associated with an increased dementia hazard across all odor clusters. Lower performance in the high identifiability cluster showed the strongest association with dementia (hazard ratio = 1.39, 95% confidence interval [1.28-1.51]). Moreover, the high-intensity odor cluster showed a stronger association with dementia than the low-intensity cluster (= 0.02).

Discussion: The findings suggest that the SST items differ with regard to their association with dementia and support using a reduced set size for clinical practice.

Highlights: Odor identification (OID) items differ in their association with future dementia.Reduced OID set sizes render hazard ratios comparable to larger set sizes.Identifiability and perceptual characteristics of odors should be considered when designing dementia screening instruments.

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来源期刊
CiteScore
7.80
自引率
7.50%
发文量
101
审稿时长
8 weeks
期刊介绍: Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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