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使用新的综合指标在低教育水平帕金森病患者中捕捉主观认知衰退

Capturing subjective cognitive decline with a new combined index in low education patients with Parkinson's disease.

作者信息

Huang Juan, Wang Hui, Chen Lin, Hu Binbin, Qin Xin, Yang Qiushuang, Cui Yajing, Chen Shenjian, Huang Wei

机构信息

Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.

出版信息

Front Neurol. 2024 Aug 19;15:1403105. doi: 10.3389/fneur.2024.1403105. eCollection 2024.

Abstract

OBJECTIVES

Subjective Cognitive Decline (SCD) refers to self-reported cognitive decline with normal global cognition. This study aimed to capture SCD among low educated patients with Parkinson's disease (PD) using a newly established indicator.

METHODS

We recruited 64 PD patients with low education levels (education ≤12 years) for the study. The presence of SCD was determined based on a Unified Parkinson's Disease Rating Scale Part I (1.1) score ≥ 1. Spearman analysis and multivariate binary logistic regression analyses were conducted to investigate factors associated with the PD-SCD group. The receiver operating characteristic (ROC) curve was used to evaluate the sensitivity and specificity of the new combined index.

RESULTS

The prevalence of SCD in PD patients was 43.75%. Low educated PD-SCD patients had higher scores on the Non-Motor Symptoms Scale (NMSS), Parkinson's Fatigue Scale (PFS), Epworth Sleepiness Scale (ESS), as well as higher scores on the UPDRS-I and UPDRS-II, compared to PD patients without SCD. They also demonstrated poorer performance on the Montreal Cognitive Assessment (MoCA), particularly in the domains of executive abilities/attention/language. Multivariate binary regression confirmed the significant association between PD-SCD and MoCA-executive abilities/attention/language. Based on these findings, a combined index was established by summing the scores of MoCA-executive abilities, MoCA-attention, and MoCA-language. ROC analysis showed that the combined index could differentiate PD-SCD patients with an area under the curve (AUC) of 0.876. A score of 12 or less on the combined index had a sensitivity of 73.9% and a specificity of 76.2% for diagnosing PD-SCD.

CONCLUSION

These low education patients with PD-SCD may exhibit potential PD-related pathological changes. It is important for clinicians to identify PD-SCD patients as early as possible. The newly combined index can help capture these low educated PD-SCD patients, with an AUC of 0.867, and is expected to assist clinicians in earlier identification and better management of PD patients.

摘要

目的

主观认知下降(SCD)是指自我报告的认知下降且整体认知正常。本研究旨在使用新建立的指标在低教育水平的帕金森病(PD)患者中识别出SCD。

方法

我们招募了64名低教育水平(教育年限≤12年)的PD患者进行研究。根据统一帕金森病评定量表第一部分(1.1)得分≥1来确定是否存在SCD。进行Spearman分析和多变量二元逻辑回归分析以研究与PD-SCD组相关的因素。采用受试者工作特征(ROC)曲线评估新组合指标的敏感性和特异性。

结果

PD患者中SCD的患病率为43.75%。与无SCD的PD患者相比,低教育水平的PD-SCD患者在非运动症状量表(NMSS)、帕金森疲劳量表(PFS)、爱泼华嗜睡量表(ESS)上得分更高,在统一帕金森病评定量表第一部分(UPDRS-I)和第二部分(UPDRS-II)上得分也更高。他们在蒙特利尔认知评估(MoCA)中的表现也较差,尤其是在执行能力/注意力/语言领域。多变量二元回归证实了PD-SCD与MoCA执行能力/注意力/语言之间的显著关联。基于这些发现,通过将MoCA执行能力、MoCA注意力和MoCA语言的得分相加建立了一个组合指标。ROC分析表明,该组合指标能够区分PD-SCD患者,曲线下面积(AUC)为0.876。组合指标得分12分及以下对诊断PD-SCD的敏感性为73.9%,特异性为76.2%。

结论

这些低教育水平的PD-SCD患者可能表现出潜在的与PD相关的病理变化。临床医生尽早识别PD-SCD患者很重要。新的组合指标有助于识别这些低教育水平的PD-SCD患者,AUC为0.867,有望帮助临床医生更早地识别和更好地管理PD患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366e/11367866/e09d0c1a3d61/fneur-15-1403105-g001.jpg

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