Andy
Retired committee member
Highlights
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.
Open access, https://www.sciencedirect.com/science/article/pii/S0022399923003926
- Sleep disturbances are highly prevalent in long COVID-19 patients.
- Sleep disturbances include poor sleep quality, insomnia and excessive daytime sleepiness.
- It is impossible to know whether sleep problems pre-dated COVID-19 infection.
- The healthcare sector should provide early, effective treatment.
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.
Open access, https://www.sciencedirect.com/science/article/pii/S0022399923003926