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采用标准化问卷和诊断标准评估长新冠患者睡眠障碍的患病率:系统评价和荟萃分析。

Prevalence of sleep disturbances in patients with long COVID assessed by standardised questionnaires and diagnostic criteria: A systematic review and meta-analysis.

机构信息

Department of Psychiatry, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand; Department of Psychological Medicine, Division of Academic Psychiatry, King's College London, United Kingdom.

Department of Psychological Medicine, Division of Academic Psychiatry, King's College London, United Kingdom; Persistent Physical Symptoms Research and Treatment Unit and Neuropsychiatry Outpatients South London and Maudsley Hospital NHS Trust, United Kingdom.

出版信息

J Psychosom Res. 2023 Dec;175:111535. doi: 10.1016/j.jpsychores.2023.111535. Epub 2023 Oct 22.

Abstract

OBJECTIVE

We aimed to study the prevalence of sleep disturbances in patients with long COVID-19.

METHODS

We conducted a systematic review and meta-analysis of the pooled prevalence of sleep disturbances in patients post COVID-19. We systematically searched relevant studies from three databases, including Medline, Embase and Scopus. Original articles were included based on specific criteria: peer-reviewed, observational studies involving adults (18 or older) with confirmed post COVID-19 status through PCR testing and focused on sleep in the context of post COVID-19. Exclusion criteria included non-English articles, studies with insufficient data, and narrative/systematic reviews. The search was performed from 31st July 2023 to 15th August 2023. We identified 35 eligible papers; however, we excluded 6 studies which did not describe the sleep assessment. We used a random-effects meta-analysis model to estimate the pooled prevalence of sleep disturbances.

RESULTS

29 studies involved 13,935 long COVID-19 patients; approximately 39% of participants were male aged 18 to 97 years. The overall pooled prevalence of sleep disturbance was 46% (95% CI: 38-54%). Subgroup analyses revealed that the pooled prevalence of poor sleep quality was 56% (95% CI: 47-65%). The pooled prevalence of insomnia was 38% (95% CI: 28-48%). Finally, the pooled prevalence of excessive daytime sleepiness was 14% (95% CI: 0-29%).

CONCLUSION

Sleep disturbances are common in long COVID-19 patients. The healthcare sector should recognise these sleep issues and provide an early, effective treatment to prevent long-term sequelae of sleep problems.

摘要

目的

研究长新冠患者睡眠障碍的患病率。

方法

我们对新冠后患者睡眠障碍的患病率进行了系统回顾和荟萃分析。我们从 Medline、Embase 和 Scopus 三个数据库中系统地搜索了相关研究。纳入的原始文章符合以下具体标准:同行评议、观察性研究,涉及通过 PCR 检测确诊为新冠后状态的成年人(18 岁及以上),并将睡眠作为新冠后背景进行研究。排除标准包括非英文文章、数据不足的研究以及叙述性/系统性综述。搜索于 2023 年 7 月 31 日至 2023 年 8 月 15 日进行。我们确定了 35 篇符合条件的论文;然而,我们排除了 6 篇未描述睡眠评估的研究。我们使用随机效应荟萃分析模型来估计睡眠障碍的总患病率。

结果

29 项研究涉及 13935 名长新冠患者;约 39%的参与者为 18 至 97 岁的男性。睡眠障碍的总患病率为 46%(95%CI:38-54%)。亚组分析显示,睡眠质量差的总患病率为 56%(95%CI:47-65%)。失眠的总患病率为 38%(95%CI:28-48%)。最后,日间嗜睡的总患病率为 14%(95%CI:0-29%)。

结论

睡眠障碍在长新冠患者中很常见。医疗保健部门应认识到这些睡眠问题,并提供早期、有效的治疗,以预防睡眠问题的长期后果。

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