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Clinical Characteristics and Electrophysiological Biomarkers of Parkinson's Disease Developed From Essential Tremor

Background and Objective: Parkinson's disease developed from essential tremor (ET-PD) is a distinct clinical syndrome that is different from essential tremor (ET) and Parkinson's disease (PD). There is currently a lack of research on ET-PD. Tremor characteristics (amplitude and frequency)...

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Autores principales: Wang, Xuemei, Cao, Zhentang, Liu, Genliang, Liu, Zhu, Jiang, Ying, Ma, Huizi, Wang, Zhan, Yang, Yaqin, Chen, Huimin, Feng, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658334/
https://www.ncbi.nlm.nih.gov/pubmed/33193041
http://dx.doi.org/10.3389/fneur.2020.582471
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author Wang, Xuemei
Cao, Zhentang
Liu, Genliang
Liu, Zhu
Jiang, Ying
Ma, Huizi
Wang, Zhan
Yang, Yaqin
Chen, Huimin
Feng, Tao
author_facet Wang, Xuemei
Cao, Zhentang
Liu, Genliang
Liu, Zhu
Jiang, Ying
Ma, Huizi
Wang, Zhan
Yang, Yaqin
Chen, Huimin
Feng, Tao
author_sort Wang, Xuemei
collection PubMed
description Background and Objective: Parkinson's disease developed from essential tremor (ET-PD) is a distinct clinical syndrome that is different from essential tremor (ET) and Parkinson's disease (PD). There is currently a lack of research on ET-PD. Tremor characteristics (amplitude and frequency) are primary quantitative indexes for diagnosing and monitoring of tremors. In this study, we aimed to explore specific clinical and electrophysiological biomarkers for the identification of ET-PD. Methods: The study included patients with ET-PD (n = 22), ET (n = 42), and tremor-dominant PD (t-PD, n = 47). We collected demographic data, clinical characteristics (including motor and non-motor symptoms), and tremor analysis. The frequency, amplitude, contracting patterns of resting tremor and postural tremor were collected. The analysis of ET-PD and ET/t-PD was compared. The receiver operating characteristic (ROC) curve was used to analyze the electrophysiological features in distinguishing ET-PD from ET or t-PD. Results: Compared with ET, hyposmia, bradykinesia, rigidity, postural abnormality, and resting tremor were more common in the ET-PD group (P = 0.01, 0.003, 0.001, 0.001, 0.019, respectively). The postural tremor frequencies of the head, upper limbs, and lower limbs were significantly lower in the ET-PD than in the ET (P = 0.007, 0.003, 0.035, respectively), which were the most appropriate variables for distinguishing ET-PD from ET (AUC: 0.775, 0.727, and 0.701, respectively). Compared with t-PD, bradykinesia, rigidity, postural abnormality (both P < 0.001), and resting tremor (P = 0.024) were less common in the ET-PD. The postural tremor amplitudes of the head and upper limbs were significantly higher in the ET-PD than in the t-PD (P = 0.022, 0.001, respectively), which were the most appropriate variables for distinguishing ET-PD from t-PD (AUC: 0.793 and 0.716). Conclusions: Hyposmia and electrophysiological biomarkers (postural tremor frequencies and amplitudes) help early recognition of ET-PD.
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spelling pubmed-76583342020-11-13 Clinical Characteristics and Electrophysiological Biomarkers of Parkinson's Disease Developed From Essential Tremor Wang, Xuemei Cao, Zhentang Liu, Genliang Liu, Zhu Jiang, Ying Ma, Huizi Wang, Zhan Yang, Yaqin Chen, Huimin Feng, Tao Front Neurol Neurology Background and Objective: Parkinson's disease developed from essential tremor (ET-PD) is a distinct clinical syndrome that is different from essential tremor (ET) and Parkinson's disease (PD). There is currently a lack of research on ET-PD. Tremor characteristics (amplitude and frequency) are primary quantitative indexes for diagnosing and monitoring of tremors. In this study, we aimed to explore specific clinical and electrophysiological biomarkers for the identification of ET-PD. Methods: The study included patients with ET-PD (n = 22), ET (n = 42), and tremor-dominant PD (t-PD, n = 47). We collected demographic data, clinical characteristics (including motor and non-motor symptoms), and tremor analysis. The frequency, amplitude, contracting patterns of resting tremor and postural tremor were collected. The analysis of ET-PD and ET/t-PD was compared. The receiver operating characteristic (ROC) curve was used to analyze the electrophysiological features in distinguishing ET-PD from ET or t-PD. Results: Compared with ET, hyposmia, bradykinesia, rigidity, postural abnormality, and resting tremor were more common in the ET-PD group (P = 0.01, 0.003, 0.001, 0.001, 0.019, respectively). The postural tremor frequencies of the head, upper limbs, and lower limbs were significantly lower in the ET-PD than in the ET (P = 0.007, 0.003, 0.035, respectively), which were the most appropriate variables for distinguishing ET-PD from ET (AUC: 0.775, 0.727, and 0.701, respectively). Compared with t-PD, bradykinesia, rigidity, postural abnormality (both P < 0.001), and resting tremor (P = 0.024) were less common in the ET-PD. The postural tremor amplitudes of the head and upper limbs were significantly higher in the ET-PD than in the t-PD (P = 0.022, 0.001, respectively), which were the most appropriate variables for distinguishing ET-PD from t-PD (AUC: 0.793 and 0.716). Conclusions: Hyposmia and electrophysiological biomarkers (postural tremor frequencies and amplitudes) help early recognition of ET-PD. Frontiers Media S.A. 2020-10-29 /pmc/articles/PMC7658334/ /pubmed/33193041 http://dx.doi.org/10.3389/fneur.2020.582471 Text en Copyright © 2020 Wang, Cao, Liu, Liu, Jiang, Ma, Wang, Yang, Chen and Feng. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Wang, Xuemei
Cao, Zhentang
Liu, Genliang
Liu, Zhu
Jiang, Ying
Ma, Huizi
Wang, Zhan
Yang, Yaqin
Chen, Huimin
Feng, Tao
Clinical Characteristics and Electrophysiological Biomarkers of Parkinson's Disease Developed From Essential Tremor
title Clinical Characteristics and Electrophysiological Biomarkers of Parkinson's Disease Developed From Essential Tremor
title_full Clinical Characteristics and Electrophysiological Biomarkers of Parkinson's Disease Developed From Essential Tremor
title_fullStr Clinical Characteristics and Electrophysiological Biomarkers of Parkinson's Disease Developed From Essential Tremor
title_full_unstemmed Clinical Characteristics and Electrophysiological Biomarkers of Parkinson's Disease Developed From Essential Tremor
title_short Clinical Characteristics and Electrophysiological Biomarkers of Parkinson's Disease Developed From Essential Tremor
title_sort clinical characteristics and electrophysiological biomarkers of parkinson's disease developed from essential tremor
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658334/
https://www.ncbi.nlm.nih.gov/pubmed/33193041
http://dx.doi.org/10.3389/fneur.2020.582471
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