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Substantia Nigra Echogenicity Signal Correlated with Clinical Features in Patients with Parkinson's Disease in Xinjiang

BACKGROUND: Transcranial sonography (TCS) is a noninvasive test that can reveal structural changes in the substantia nigra (SN) in Parkinson's disease (PD). The purpose of this study was to investigate the relationship between SN signatures and clinical features in PD patients in a multiethnic...

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Autores principales: Wei, Rurui, Zhang, Yan, Li, Peishan, Xu, Zeheng, Zhang, La, He, Yan, Wu, Qinfen, Shi, Youcai, Yuan, Yang, Aisha, Abudula
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250089/
https://www.ncbi.nlm.nih.gov/pubmed/37304832
http://dx.doi.org/10.1155/2023/8867546
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author Wei, Rurui
Zhang, Yan
Li, Peishan
Xu, Zeheng
Zhang, La
He, Yan
Wu, Qinfen
Shi, Youcai
Yuan, Yang
Aisha, Abudula
author_facet Wei, Rurui
Zhang, Yan
Li, Peishan
Xu, Zeheng
Zhang, La
He, Yan
Wu, Qinfen
Shi, Youcai
Yuan, Yang
Aisha, Abudula
author_sort Wei, Rurui
collection PubMed
description BACKGROUND: Transcranial sonography (TCS) is a noninvasive test that can reveal structural changes in the substantia nigra (SN) in Parkinson's disease (PD). The purpose of this study was to investigate the relationship between SN signatures and clinical features in PD patients in a multiethnic region of China. METHODS: A total of 147 patients with PD were included in the study, and all of whom had underwent a TCS examination. Clinical information was collected from PD patients, and motor and nonmotor symptoms were assessed using assessment scales. RESULTS: There were differences in the substantia nigra hyperechogenicity (SNH) area between age of onset, visual hallucinations (VH), and UPDRS3.0 II scores (P < 0.05), patients with late onset PD had a greater SNH area than early onset (0.326 ± 0.352 vs. 0.171 ± 0.194), and PD patients presenting with VH had a greater SNH area than those without hallucinations (0.508 ± 0.670 vs. 0.278 ± 0.659), and further multifactorial analysis showed that a high SNH area was an independent risk factor for development of VH. The area under the ROC curve for predicting VH from the SNH area in PD patients was 0.609 (95% CI: 0.444–0.774). There was a positive correlation between the SNH area and UPDRS3.0-II scores, but further multifactorial analysis showed that SNH was not an independent predictor of the UPDRS3.0-II score. CONCLUSION: A high SNH area is an independent risk factor for development of VH, there is a positive correlation between the SNH area and UPDRS3.0 II score, and TCS has guiding significance in predicting clinical VH symptoms and activities of daily living in PD patients.
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spelling pubmed-102500892023-06-09 Substantia Nigra Echogenicity Signal Correlated with Clinical Features in Patients with Parkinson's Disease in Xinjiang Wei, Rurui Zhang, Yan Li, Peishan Xu, Zeheng Zhang, La He, Yan Wu, Qinfen Shi, Youcai Yuan, Yang Aisha, Abudula Parkinsons Dis Research Article BACKGROUND: Transcranial sonography (TCS) is a noninvasive test that can reveal structural changes in the substantia nigra (SN) in Parkinson's disease (PD). The purpose of this study was to investigate the relationship between SN signatures and clinical features in PD patients in a multiethnic region of China. METHODS: A total of 147 patients with PD were included in the study, and all of whom had underwent a TCS examination. Clinical information was collected from PD patients, and motor and nonmotor symptoms were assessed using assessment scales. RESULTS: There were differences in the substantia nigra hyperechogenicity (SNH) area between age of onset, visual hallucinations (VH), and UPDRS3.0 II scores (P < 0.05), patients with late onset PD had a greater SNH area than early onset (0.326 ± 0.352 vs. 0.171 ± 0.194), and PD patients presenting with VH had a greater SNH area than those without hallucinations (0.508 ± 0.670 vs. 0.278 ± 0.659), and further multifactorial analysis showed that a high SNH area was an independent risk factor for development of VH. The area under the ROC curve for predicting VH from the SNH area in PD patients was 0.609 (95% CI: 0.444–0.774). There was a positive correlation between the SNH area and UPDRS3.0-II scores, but further multifactorial analysis showed that SNH was not an independent predictor of the UPDRS3.0-II score. CONCLUSION: A high SNH area is an independent risk factor for development of VH, there is a positive correlation between the SNH area and UPDRS3.0 II score, and TCS has guiding significance in predicting clinical VH symptoms and activities of daily living in PD patients. Hindawi 2023-06-01 /pmc/articles/PMC10250089/ /pubmed/37304832 http://dx.doi.org/10.1155/2023/8867546 Text en Copyright © 2023 Rurui Wei et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wei, Rurui
Zhang, Yan
Li, Peishan
Xu, Zeheng
Zhang, La
He, Yan
Wu, Qinfen
Shi, Youcai
Yuan, Yang
Aisha, Abudula
Substantia Nigra Echogenicity Signal Correlated with Clinical Features in Patients with Parkinson's Disease in Xinjiang
title Substantia Nigra Echogenicity Signal Correlated with Clinical Features in Patients with Parkinson's Disease in Xinjiang
title_full Substantia Nigra Echogenicity Signal Correlated with Clinical Features in Patients with Parkinson's Disease in Xinjiang
title_fullStr Substantia Nigra Echogenicity Signal Correlated with Clinical Features in Patients with Parkinson's Disease in Xinjiang
title_full_unstemmed Substantia Nigra Echogenicity Signal Correlated with Clinical Features in Patients with Parkinson's Disease in Xinjiang
title_short Substantia Nigra Echogenicity Signal Correlated with Clinical Features in Patients with Parkinson's Disease in Xinjiang
title_sort substantia nigra echogenicity signal correlated with clinical features in patients with parkinson's disease in xinjiang
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250089/
https://www.ncbi.nlm.nih.gov/pubmed/37304832
http://dx.doi.org/10.1155/2023/8867546
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