未经证实:长型COVID-19感染后症状持续存在,是社交媒体引起的第一种疾病。在法国,法国#ApresJ20标签描述了感染COVID-19后症状持续超过20天。面对医疗和官方实体的缺乏认可,患者在社交媒体上形成社区,并描述他们的症状是持久的,波动,和多系统。虽然许多关于长COVID的研究依赖于传统的研究方法,过程漫长,社交媒体为大规模研究提供了基础,数据快速流动。
未经评估:我们的目标是识别和分析长传的主要症状,症状共现,讨论的主题,遇到的困难,和病人资料。
UNASSIGNED:数据是根据公共站点的相关关键字列表提取的(例如,Twitter)和健康相关论坛(例如,Doctissimo)。报告的症状是通过MedDRA词典确定的,按提及它们的帖子数量显示,并在用户级别聚合。通过计算用户消息中的共同事件来评估关联,作为一对首选术语。使用Biterm主题建模对讨论主题进行了分析;手动探索了困难和未满足的需求。为了确定与他们的症状相关的患者概况,每个首选术语的总数用于创建用户级分层群集。
未经批准:在2020年1月1日至2021年8月10日之间,总体而言,15364条信息被确定为来自6494例长型COVID患者或其护理人员。我们的分析揭示了3个主要症状共同出现:虚弱-呼吸困难(102/289,35.3%),虚弱-焦虑(65/289,22.5%),和虚弱头痛(50/289,17.3%)。报告的主要困难是症状管理(150/424,35.4%的信息),心理影响(64/424,15.1%),显著疼痛(51/424,12.0%),总体福祉恶化(52/424,12.3%),以及对日常生活和职业生活的影响(40/424,9.4%和34/424,8.0%的信息,分别)。我们确定了与症状相关的3个患者概况:概况A(n=406名患者)仅报告了虚弱症状;概况B(n=129)表达了焦虑(n=129,100%),虚弱(n=28,21.7%),呼吸困难(n=15,11.6%),和迟钝(n=3,2.3%);和配置文件C(n=141)描述呼吸困难(n=141,100%),和虚弱(n=45,31.9%)。约49.1%的使用者(79/161)在感染后超过3个月后继续表达症状,1年后为20.5%(33/161)。
未经授权:长发COVID是一种挥之不去的疾病,影响着全世界的人们,身体和心理。它会影响长途运输者的生活质量,日常任务,和专业活动。社交媒体在提高和传递长途运输者的声音方面发挥了不可否认的作用,并有可能迅速提供大量有价值的患者报告信息。由于长期的COVID是患者自己通过社交媒体自称的疾病,必须不断将他们的观点纳入相关研究。我们的结果可以帮助设计以患者为中心的仪器,以进一步用于临床实践,以更好地捕获长COVID的有意义的尺寸。
UNASSIGNED: Long COVID-a condition with
persistent symptoms post COVID-19 infection-is the first illness arising from social media. In France, the French hashtag #ApresJ20 described symptoms persisting longer than 20 days after contracting COVID-19. Faced with a lack of recognition from medical and official entities, patients formed communities on social media and described their symptoms as long-lasting, fluctuating, and multisystemic. While many studies on long COVID relied on traditional research methods with lengthy processes, social media offers a foundation for large-scale studies with a fast-flowing outburst of data.
UNASSIGNED: We aimed to identify and analyze Long Haulers\' main reported symptoms, symptom co-occurrences, topics of discussion, difficulties encountered, and patient profiles.
UNASSIGNED: Data were extracted based on a list of pertinent keywords from public sites (eg, Twitter) and health-related forums (eg, Doctissimo). Reported symptoms were identified via the MedDRA dictionary, displayed per the volume of posts mentioning them, and aggregated at the user level. Associations were assessed by computing co-occurrences in users\' messages, as pairs of preferred terms. Discussion topics were analyzed using the Biterm Topic Modeling; difficulties and unmet needs were explored manually. To identify patient profiles in relation to their symptoms, each preferred term\'s total was used to create user-level hierarchal clusters.
UNASSIGNED: Between January 1, 2020, and August 10, 2021, overall, 15,364 messages were identified as originating from 6494 patients of long COVID or their caregivers. Our analyses revealed 3 major symptom co-occurrences: asthenia-dyspnea (102/289, 35.3%), asthenia-anxiety (65/289, 22.5%), and asthenia-headaches (50/289, 17.3%). The main reported difficulties were symptom management (150/424, 35.4% of messages), psychological impact (64/424,15.1%), significant pain (51/424, 12.0%), deterioration in general well-being (52/424, 12.3%), and impact on daily and professional life (40/424, 9.4% and 34/424, 8.0% of messages, respectively). We identified 3 profiles of patients in relation to their symptoms: profile A (n=406 patients) reported exclusively an asthenia symptom; profile B (n=129) expressed anxiety (n=129, 100%), asthenia (n=28, 21.7%), dyspnea (n=15, 11.6%), and ageusia (n=3, 2.3%); and profile C (n=141) described dyspnea (n=141, 100%), and asthenia (n=45, 31.9%). Approximately 49.1% of users (79/161) continued expressing symptoms after more than 3 months post infection, and 20.5% (33/161) after 1 year.
UNASSIGNED: Long COVID is a lingering condition that affects people worldwide, physically and psychologically. It impacts Long Haulers\' quality of life, everyday tasks, and professional activities. Social media played an undeniable role in raising and delivering Long Haulers\' voices and can potentially rapidly provide large volumes of valuable patient-reported information. Since long COVID was a self-titled condition by patients themselves via social media, it is imperative to continuously include their perspectives in related research. Our results can help design patient-centric instruments to be further used in clinical practice to better capture meaningful dimensions of long COVID.