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This study aims to characterize sleep disturbance phenotypes in individuals suffering from post-acute sequelae of SARS-CoV-2 infection.

May 15, 2026Academia Medicine and Health

Characterizing sleep disturbance phenotypes in long COVID: an EHR-based study from a safety-net hospital

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Retrospective chart review identifies diverse sleep disturbances in long COVID, implying distinct treatment approaches.

This study aims to characterize sleep disturbance phenotypes in individuals suffering from post-acute sequelae of SARS-CoV-2 infection.
Retrospective chart review of 496 adults at a safety-net hospital's long COVID clinic from 2022 to 2023.
Patient-reported symptoms categorized based on the ICSD-3-TR.
Regression models adjusted for socioeconomic disadvantage using the Area Deprivation Index.
71.8% of participants reported sleep disturbances, with insomnia (34.8%) and mixed phenotype (20.8%) being the most common.
Hypersomnia was predicted primarily by post-exertional malaise (OR = 10.4, p < 0.01) and fatigue (OR = 6.1, p < 0.01).
Insomnia was linked to pre-existing anxiety, and mixed type correlated with chronic heart disease (OR = 5.0, p = 0.02) and obstructive sleep apnea (OR = 3.2, p = 0.02).

Sohng et al. (2026) studied this question.

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