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Abstract：
Background Post-acute COVID-19 syndrome (PACS) is a syndrome characterized by a wide spectrum of symptoms emerging after clearance of coronavirus 2019 (COVID-19) infection. These symptoms include fatigue, myalgia, arthralgia, cognitive dysfunction, and many other psychiatric symptoms. Given that fibromyalgia patients have similar symptoms, we conducted a web-based cross-sectional study to investigate the prevalence and predictors of fibromyalgia patients who recovered from COVID-19. Methods Data were collected between the 9th and 19th of March 2022 using a web-based survey. The questionnaire consisted of 25 questions gathering sociodemographic information, comorbid diseases and features of acute COVID-19 infection. Lastly, the American College of Rheumatology (ACR) survey criteria completed the questionnaire. Results A final sample of 404 individuals (75% women) filled out the form. Of these, 80 (19.8%) satisfied the ACR survey criteria for fibromyalgia (93.8% women). A multivariate logistic regression model including demographic and clinical factors showed that female gender (OR: 6.557, 95% CI: 2.376 - 18.093, p = 0.001) and dyspnea (OR: 1.980, 95% CI: 1.146 - 3.420, p = 0.014) were the strongest predictors of being classified as having post-COVID-19 fibromyalgia. Bivariate correlation revealed that age (r = 0.200, p = 0.001) and duration of COVID-19 infection (r = 0.121, p = 0.015) were directly correlated with fibromyalgia symptom (FS) score. Conclusion Our data suggest that clinical features of fibromyalgia are common in patients who recovered from COVID-19 and that dyspnea and female gender increase the risk of developing post-COVID-19 fibromyalgia.
摘要：
背景急性后COVID-19综合征（PACS）是一种综合征，其特征是在清除2019年冠状病毒（COVID-19）感染后出现广泛的症状。这些症状包括疲劳，肌痛，关节痛,认知功能障碍，和许多其他精神症状。鉴于纤维肌痛患者也有类似的症状，我们进行了一项基于网络的横断面研究,以调查从COVID-19中康复的纤维肌痛患者的患病率和预测因素.方法使用基于网络的调查收集2022年3月9日至19日之间的数据。问卷由25个问题组成，收集社会人口统计信息，急性COVID-19感染的合并症和特征。最后,美国风湿病学会（ACR）调查标准完成了问卷。结果最终的404个个体(75%的女性)的样本填写表格。其中,80（19.8％）满足ACR纤维肌痛的调查标准（93.8％的女性）。包括人口统计学和临床因素的多变量逻辑回归模型显示，女性（OR：6.557，95％CI：2.376-18.093，p=0.001）和呼吸困难（OR：1.980，95％CI：1.146-3.420，p=0.014）是被归类为患有COVID-19后纤维肌痛的最强预测因子。双变量相关显示，年龄（r=0.200，p=0.001）和COVID-19感染持续时间（r=0.121，p=0.015）与纤维肌痛症状（FS）评分直接相关。结论我们的数据表明，纤维肌痛的临床特征在COVID-19康复的患者中很常见，呼吸困难和女性增加了发生COVID-19后纤维肌痛的风险。
