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帕金森病中的抑郁症状及其对生活质量的影响:一种探索性网络分析方法

Depressive Symptoms and Their Impact on Quality of Life in Parkinson's Disease: An Exploratory Network Analysis Approach.

作者信息

Heimrich Konstantin G, Mendorf Sarah, Schönenberg Aline, Santos-García Diego, Mir Pablo, Prell Tino

机构信息

Department of Neurology, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany.

Department of Geriatrics, Halle University Hospital, Ernst-Grube-Straße 40, 06120 Halle, Germany.

出版信息

J Clin Med. 2023 Jul 11;12(14):4616. doi: 10.3390/jcm12144616.

DOI:10.3390/jcm12144616
PMID:37510732
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10380984/
Abstract

The clinical presentation of Parkinson's disease (PD) is often dominated by depressive symptoms, which can significantly impact the patients' quality of life (QoL). However, it is not clear how these depressive symptoms are interconnected, or if some symptoms are more influential in affecting QoL. In the Cohort of Patients with Parkinson's Disease in Spain (COPPADIS) study, 686 patients with PD were analyzed using network analyses. The patients completed the Beck Depression Inventory II (BDI-II) and provided their overall QoL (EUROHIS-QOL) at the beginning of the study. The study used centrality measures such as Expected Influence and Bridge Expected Influence to identify depressive symptoms that had the greatest impact on overall QoL. The results of exploratory network analyses indicate that the BDI-II items related to , , and have the greatest impact on overall QoL as measured by the EUROHIS-QOL 8-item index. The and BDI-II items are also strongly associated with a number of different EUROHIS-QOL items, according to Bridge Expected Influences. For individuals suffering from PD, network analysis can aid in identifying significant non-motor symptoms that impact their QoL, thus paving the way for potential improvements.

摘要

帕金森病(PD)的临床表现通常以抑郁症状为主,这会显著影响患者的生活质量(QoL)。然而,目前尚不清楚这些抑郁症状是如何相互关联的,或者某些症状在影响生活质量方面是否更具影响力。在西班牙帕金森病患者队列(COPPADIS)研究中,对686名帕金森病患者进行了网络分析。患者在研究开始时完成了贝克抑郁量表第二版(BDI-II)并提供了他们的总体生活质量(EUROHIS-QOL)。该研究使用了诸如预期影响力和桥梁预期影响力等中心性度量来识别对总体生活质量影响最大的抑郁症状。探索性网络分析结果表明,根据EUROHIS-QOL 8项指标衡量,BDI-II中与[此处原文缺失相关内容]、[此处原文缺失相关内容]和[此处原文缺失相关内容]相关的项目对总体生活质量影响最大。根据桥梁预期影响力,BDI-II中的[此处原文缺失相关内容]和[此处原文缺失相关内容]项目也与许多不同的EUROHIS-QOL项目密切相关。对于帕金森病患者,网络分析有助于识别影响其生活质量的重要非运动症状,从而为潜在的改善铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c5/10380984/58d1b8a6af90/jcm-12-04616-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c5/10380984/4a080cf122e7/jcm-12-04616-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c5/10380984/d13bf2c8455c/jcm-12-04616-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c5/10380984/2f039f9b807f/jcm-12-04616-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c5/10380984/58d1b8a6af90/jcm-12-04616-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c5/10380984/4a080cf122e7/jcm-12-04616-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c5/10380984/d13bf2c8455c/jcm-12-04616-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c5/10380984/2f039f9b807f/jcm-12-04616-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c5/10380984/58d1b8a6af90/jcm-12-04616-g004.jpg

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Front Neurol. 2023 Feb 14;14:972210. doi: 10.3389/fneur.2023.972210. eCollection 2023.
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