社交聆听——揭示帕金森病的昼夜变化。

Social listening - revealing Parkinson's disease over day and night.

机构信息

UCB Pharma, Room 02, Floor 28, Raffles Office Building, 268 Tibet Middle Road, Huangpu District, Shanghai, 200003, China.

Department of Neurology, Zhongshan Hospital Fudan University, Shanghai, China.

出版信息

BMC Neurol. 2021 Jan 4;21(1):2. doi: 10.1186/s12883-020-02024-4.

DOI:10.1186/s12883-020-02024-4

PMID:33397315

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7780378/

Abstract

BACKGROUND

Nocturnal symptoms in Parkinson's disease are often treated after management of daytime manifestations. In order to better understand the unmet needs of nocturnal symptoms management, we analyzed the characteristics and burden of nocturnal symptoms from patients' perspectives and explored their changes over time. Overall symptoms (occurring at day or night) were collected to compare whether the unmet needs related to nocturnal symptoms and to overall symptoms are different.

METHODS

We used a Social Listening big-data technique to analyze large amounts of Parkinson's disease symptoms in dialogues available from social media platforms in 2016 to 2018. These symptoms were classified as either overall symptoms or nocturnal symptoms. We used share of voice (SOV) of symptoms as a proportion of total dialogues per year to reflect the characteristics of symptoms. Negative sentiment score of symptoms was analyzed to find out their related burden.

RESULTS

We found the SOV for overall motor symptoms was 79% and had not increased between 2016 and 2018 (79%, p = 0.5). The SOV for non-motor symptoms was 69% and had grown by 7% in 2018 (p < 0.01). The SOV for motor complications was 9% and had increased by 6% in 2018 (p < 0.01). The SOV of motor symptoms was larger than non-motor symptoms and motor complications (p < 0.01). The SOV of non-motor symptoms was larger than motor complications (p < 0.01). For nocturnal symptoms, 45% of the analyzed PD population reported nocturnal symptoms in 2018, growing by 6% (p < 0.01). The SOV for nocturnal-occurring motor symptoms was higher than most non-motor symptoms. However, non-motor symptoms had the higher increases and evoked higher negative sentiment regardless of whether they occurred during the day or night. For symptoms that can occur at either day or night, each nocturnal symptom was rated with a higher negative sentiment score than the same symptom during the day.

CONCLUSIONS

The growing SOV and the greater negative sentiment of nocturnal symptoms suggest management of nocturnal symptoms is an unmet need of patients. A greater emphasis on detecting and treating nocturnal symptoms with 24-h care is encouraged.

摘要

背景

帕金森病的夜间症状通常在白天症状得到控制后再进行治疗。为了更好地了解夜间症状管理的未满足需求，我们从患者角度分析了夜间症状的特征和负担，并探讨了其随时间的变化。收集了整体症状（白天或夜间发生的症状）以比较与夜间症状相关的未满足需求与整体症状是否不同。

方法

我们使用社会聆听大数据技术，分析了 2016 年至 2018 年来自社交媒体平台的大量帕金森病症状对话。这些症状被分类为整体症状或夜间症状。我们使用症状的声音份额（SOV）作为每年总对话的比例来反映症状的特征。对症状的负面情绪评分进行分析，以了解其相关负担。

结果

我们发现整体运动症状的 SOV 为 79%，并且在 2016 年至 2018 年间没有增加（79%，p=0.5）。非运动症状的 SOV 为 69%，并且在 2018 年增长了 7%（p<0.01）。运动并发症的 SOV 为 9%，并且在 2018 年增加了 6%（p<0.01）。运动症状的 SOV 大于非运动症状和运动并发症（p<0.01）。非运动症状的 SOV 大于运动并发症（p<0.01）。对于夜间症状，2018 年分析的 PD 人群中有 45%报告有夜间症状，增长了 6%（p<0.01）。夜间发生的运动症状的 SOV 高于大多数非运动症状。然而，无论白天还是夜间发生，非运动症状的增加幅度更大，且引发的负面情绪更高。对于可以在白天或夜间发生的症状，每个夜间症状的负面情绪评分都高于同一症状在白天的评分。