Suppr超能文献

气味棒识别测试对日本嗅觉功能障碍患者的实用性。

Usefulness of the odor stick identification test for Japanese patients with olfactory dysfunction.

作者信息

Hashimoto Yoshiteru, Fukazawa Keijiro, Fujii Megumi, Takayasu Sadamu, Muto Toshihiko, Saito Sachiko, Takashima Yasuhiro, Sakagami Masafumi

机构信息

Department of Otolaryngology, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya City, Hyogo 663-8501, Japan.

出版信息

Chem Senses. 2004 Sep;29(7):565-71. doi: 10.1093/chemse/bjh061.

Abstract

The odor stick identification test (OSIT) is a new test of olfactory function recently developed for Japanese people. The purpose of the present study was to evaluate this test in relation to T&T olfactometry and the cross-cultural smell identification test (CC-SIT) by applying to 110 Japanese patients with olfactory disturbance. The averaged recognition thresholds for five odorants in T&T olfactometry, the number of correct answers in the CC-SIT and the rates of identification of 13 odorants in the OSIT were compared. The visual analogue scale (VAS) was also used to evaluate symptoms. The rate of identification of OSIT showed high and significant correlation coefficients with the averaged recognition thresholds of T&T olfactometry (-0.766, P < 0.001), with the number of correct answers in CC-SIT (0.754, P < 0.001) and with the VAS score (0.591, P < 0.001). In addition, on the identification performance measured by OSIT, we found significant differences between all pairs of four degrees of olfactory dysfunction except for one pair. Thus, we conclude that OSIT is useful for evaluating olfactory dysfunction in Japanese people.

摘要

气味棒识别测试(OSIT)是最近为日本人开发的一种新的嗅觉功能测试。本研究的目的是通过应用于110名日本嗅觉障碍患者,评估该测试与T&T嗅觉测量法和跨文化嗅觉识别测试(CC-SIT)的关系。比较了T&T嗅觉测量法中五种气味剂的平均识别阈值、CC-SIT中的正确答案数量以及OSIT中13种气味剂的识别率。还使用视觉模拟量表(VAS)来评估症状。OSIT的识别率与T&T嗅觉测量法的平均识别阈值(-0.766,P<0.001)、CC-SIT中的正确答案数量(0.754,P<0.001)以及VAS评分(0.591,P<0.001)显示出高度且显著的相关系数。此外,在通过OSIT测量的识别性能方面,我们发现除了一对之外,四度嗅觉功能障碍的所有对之间都存在显著差异。因此,我们得出结论,OSIT对于评估日本人的嗅觉功能障碍是有用的。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验