Small cohort of patients with epilepsy showed increased activity on Facebook before sudden unexpected death.

Small cohort of patients with epilepsy showed increased activity on Facebook before sudden unexpected death.
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DOI:
10.1016/j.yebeh.2022.108580
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发表时间:
2022-03
影响因子:
2.6
通讯作者:
Rocha, Luis M.
Rocha, Luis M.
中科院分区:
医学3区
文献类型:
--
作者:
Wood, Ian B.;Correia, Rion Brattig;Miller, Wendy R.;Rocha, Luis M.

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癫痫猝死(SUDEP)仍然是癫痫患者死亡的主要原因。尽管对患者和家庭成员有持续的风险,但迄今为止,SUDEP的生理机制仍不清楚。在这里,我们探索利用文本和情感分析工具从在线数字行为数据中识别假定的SUDEP预测信号的潜力。具体来说,我们分析了6名因猝死的癫痫患者的Facebook时间表,这些患者是由幸存的家庭成员捐赠的。我们通过文本和情感分析工具发现了行为变化的初步证据。也就是说,在突发猝死事件发生前的几个月里,患者的社交媒体时间表显示:i)冗长增加;Ii)虚词使用增加;以及iii)不同情绪分析工具测量的情绪变化。综上所述,这些结果表明,社交媒体的参与及其情绪可能是癫痫患者猝死的早期预警信号。虽然本研究中分析的患者时间线样本较少,无法推广,但我们的初步调查表明,社交媒体数据有可能作为SUDEP和癫痫的大型研究的补充数据。
Sudden Unexpected Death in Epilepsy (SUDEP) remains a leading cause of death in people with epilepsy. Despite the constant risk for patients and bereavement to family members, to date the physiological mechanisms of SUDEP remain unknown. Here we explore the potential to identify putative predictive signals of SUDEP from online digital behavioral data using text and sentiment analysis tools. Specifically, we analyze Facebook timelines of six patients with epilepsy deceased due to SUDEP, donated by surviving family members. We find preliminary evidence for behavioral changes detectable by text and sentiment analysis tools. Namely, in the months preceding their SUDEP event patient social media timelines show: i) increase in verbosity; ii) increased use of functional words; and iii) sentiment shifts as measured by different sentiment analysis tools. Combined, these results suggest that social media engagement, as well as its sentiment, may serve as possible early-warning signals for SUDEP in people with epilepsy. While the small sample of patient timelines analyzed in this study prevents generalization, our preliminary investigation demonstrates the potential of social media data as complementary data in larger studies of SUDEP and epilepsy.
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