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Neurol Clin Pract. 2017 Feb;7(1):5-14. doi: 10.1212/CPJ.0000000000000293.

Validation of olfactory deficit as a biomarker of Alzheimer disease.

Neurology. Clinical practice

Matthew R Woodward, Chaitanya V Amrutkar, Harshit C Shah, Ralph H B Benedict, Sanjanaa Rajakrishnan, Rachelle S Doody, Li Yan, Kinga Szigeti

Affiliations

  1. Alzheimer's Disease and Memory Disorders Center, Department of Neurology (MRW, CVA, HCS, RHBB, SR, KS), and Department of Bioinformatics (LY), University at Buffalo, SUNY, NY; and Alzheimer's Disease and Memory Disorders Center (RSD), Department of Neurology, Baylor College of Medicine, Houston, TX.

PMID: 28243501 PMCID: PMC5310210 DOI: 10.1212/CPJ.0000000000000293

Abstract

BACKGROUND: We evaluated smell identification as a biomarker for Alzheimer disease (AD) by assessing its utility in differentiating normal aging from an amnestic disorder and determining its predictive value for conversion from amnestic mild cognitive impairment (aMCI) to AD.

METHODS: Cross-sectional study (AD = 262, aMCI = 110, controls = 194) measuring smell identification (University of Pennsylvania Smell Identification Test [UPSIT]) and cognitive status was performed, as well as longitudinal analysis of aMCI participants (n = 96) with at least 1 year follow-up (mean 477.6 ± 223.3 days), to determine conversion by National Institute of Neurological and Communicative Disorders and Stroke-Alzheimer's Disease and Related Disorders Association criteria.

RESULTS: Odor identification and disease status were highly correlated after correcting for age, sex, and

CONCLUSIONS: Olfactory identification deficit is a useful screening tool for AD-related amnestic disorder, with sensitivity and specificity comparable to other established biomarkers, with benefits such as ease of administration and low cost. Olfactory identification deficit can be utilized to stratify risk of conversion from aMCI to AD and enrich clinical trials of disease-modifying therapy.

CLASSIFICATION OF EVIDENCE: This study provides Class III evidence that smell identification (10-item UPSIT subset) accurately identifies patients with amnestic disorders.

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