Olfactory Identification among Various Subtypes of Parkinson Disease

Author:

Jalali Mir Mohammad,Roudbary Seyed Ali,Gerami Hooshang,Soleimani Robabeh,Ebrahimi Seyed Matin

Abstract

Introduction: This study is aimed at investigating the olfactory function among different subtypes of Parkinson disease (PD) and the impact of sex on smell identification test. Methods: In this cross-sectional study, we used Iran-smell identification test (Iran-SIT). PD severity was determined using a Hoehn and Yahr (H&amp;Y) scale. We used analysis of covariance (ANCOVA) to compare the olfactory function among different PD subtypes. All analyses were performed using SPSS software version 16.0. Results: In total, 66 males and 38 females participated in this study. The most common PD subtype was postural instability and gait difficulty (38.5%). Severe hyposmia and anosmia were found in 44.6 and 19.6% of participants, respectively. Women had a higher score in olfactory function than men (p = 0.44). The score of subjects with stage 1 in the H&amp;Y scale was about 3 points higher than the score with stage 4. The ANCOVA showed a statistically significant effect of subtypes PD on Iran-SIT score after controlling for the effects of covariates (p = 0.03). There is a significant difference between tremor-dominant Parkinson disease (TDPD) and other subtypes of PD (p < 0.05). However, Iran-SIT scores failed to show a significant difference between men and women (p = 0.13). Discussion/Conclusion: Our results confirmed that PD is heterogeneous and there is significant variability in odor identification ability in these patients. We observed more olfactory impairment in TDPD, and subjects with higher H&amp;Y stage. We recommended future studies with repeated measurements of different aspects of smell function to characterize the temporal relationship of olfactory dysfunction with PD.

Publisher

S. Karger AG

Subject

Neurology (clinical),Neurology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3