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

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.