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引用本文的文献

1
Structural and metabolic brain abnormalities in COVID-19 patients with sudden loss of smell.COVID-19 患者嗅觉丧失的结构性和代谢性脑异常。
Eur J Nucl Med Mol Imaging. 2021 Jun;48(6):1890-1901. doi: 10.1007/s00259-020-05154-6. Epub 2021 Jan 4.

用于筛查嗅觉丧失的快速检测方法的开发。

: development of a rapid test to screen for smell loss.

作者信息

Parma Valentina, Hannum Mackenzie E, O'Leary Maureen, Pellegrino Robert, Rawson Nancy E, Reed Danielle R, Dalton Pamela H

出版信息

medRxiv. 2020 Dec 11:2020.12.10.20244301. doi: 10.1101/2020.12.10.20244301.

DOI:10.1101/2020.12.10.20244301
PMID:33330892
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7743103/
Abstract

BACKGROUND

Commercially available smell tests are primarily used in research or in-depth clinical evaluations, but are too costly and lengthy for population surveillance in health emergencies like COVID-19. We developed the . test which rapidly evaluates three olfactory functions (detection, intensity, and identification). We tested whether self-administering the . test discriminates between individuals with smell loss or average smell ability (normosmics), and provides comparable performance as the validated and standardized NIH Toolbox Odor Identification Test in normosmics.

METHODS

Using Bayesian linear models and prognostic classification algorithms, we compared the . performance of a group of self-reported anosmics (N=111, 47±13yo, F=71%,) and normosmics (N=154, 47±14yo, F=74%), as well as individuals reporting other smell disorders (e.g., hyposmia, parosmia; N=42, 55±10yo, F=67%).

RESULTS

Ninety-four percent of normosmics met our . accuracy criteria, while only 10% of anosmics and 64% of individuals with other smell disorders did. Overall performance on . predicted belonging to the normosmic group better than identification or detection alone (vs. anosmic: AUC=0.95, Sensitivity=0.72, Specificity=0.94). Odor intensity provided the best single-feature predictor to classify normosmics. Among normosmics, 92% met the accuracy criteria at both . and the NIH Toolbox Odor Identification Test.

CONCLUSIONS

. is a practical test able to discriminate individuals with smell loss and is likely to be useful in many clinical situations, including COVID-19 symptom screening.

摘要

背景

市面上现有的嗅觉测试主要用于研究或深入的临床评估,但对于像新冠疫情这样的突发卫生事件中的人群监测来说,成本过高且耗时过长。我们开发了[具体测试名称]测试,该测试可快速评估三种嗅觉功能(检测、强度和识别)。我们测试了自行进行[具体测试名称]测试能否区分嗅觉丧失者和嗅觉能力正常者(嗅觉正常者),以及在嗅觉正常者中,该测试的表现是否与经过验证和标准化的美国国立卫生研究院工具箱气味识别测试相当。

方法

我们使用贝叶斯线性模型和预后分类算法,比较了一组自我报告的嗅觉丧失者(N = 111,年龄47±13岁,女性占71%)、嗅觉正常者(N = 154,年龄47±14岁,女性占74%)以及报告有其他嗅觉障碍(如嗅觉减退、嗅觉倒错;N = 42,年龄55±10岁,女性占67%)的个体在[具体测试名称]测试中的表现。

结果

94%的嗅觉正常者达到了我们的[具体测试名称]测试准确性标准,而嗅觉丧失者中只有10%,其他嗅觉障碍个体中只有64%达到该标准。[具体测试名称]测试的整体表现比单独的识别或检测更能准确预测个体是否属于嗅觉正常组(与嗅觉丧失者相比:曲线下面积 = 0.95,灵敏度 = 0.72,特异性 = 0.94)。气味强度是分类嗅觉正常者的最佳单一特征预测指标。在嗅觉正常者中,92%在[具体测试名称]测试和美国国立卫生研究院工具箱气味识别测试中均达到了准确性标准。

结论

[具体测试名称]测试是一种实用的测试,能够区分嗅觉丧失者,可能在包括新冠症状筛查在内的许多临床情况下发挥作用。