Characterizing sleep disturbance phenotypes in long COVID: an EHR-based study from a safety-net hospital, 2026, Sohng et al

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This post has the preliminary abstract. See post #4 for published version.


Characterizing Sleep Disturbances in Long COVID: A Retrospective Analysis from a Safety Net Hospital (P8-4.007)

Angela Sohng, Shruti Misra, Neoreet Braha, Ariana Rauch, Andrew Tsao, Ta’Kiya Moore, Michael Alosco, Jai Marathe, and Sanford Auerbach

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Objective
To characterize risk factors of Long COVID sleep disturbance at a city hospital.

Background
Millions globally suffer from long-term functional and cognitive impairment from post-acute SARS-CoV-2 infection (PASC), or “Long COVID.” Sleep disturbances (SDs), either new or exacerbated, are common but under-researched in this population despite their impact on immune function, chronic organ illness, and quality of life.

Design/Methods
Retrospective chart review of patients seen at a hospital-based Long COVID Clinic (01/2022–12/2023). SDs experienced during PASC were classified into four phenotypes: insomnia, hypersomnia, mixed, and other. Binomial and multinomial regression identified predictors, with no SD as the reference and Area Deprivation Index (ADI) as the covariate. P-values were adjusted for multiplicity using the Benjamini-Hochberg method.

Results
Of 452 patients (median age 47, 70.4% Female, 46% White), 71.9% reported SDs, of which 34.5% experienced new-onset and 23.2% reported exacerbation of prior disturbances.

ADI was the only demographic predictor (p=.016) of SD. Vaccination status, number of infections, and hospitalization were not predictive.

Key PASC risk factors for SDs (all p<.01 unless specified) included post-exertional malaise (OR=7.98), fatigue (OR=6.39), dysautonomia/POTS (OR=5.96), gait instability (OR=5.36, p=.019), depression (OR=4.95), brain fog (OR=3.85), myalgias/arthralgias (OR=3.19), anxiety (OR=3.06), SOB/DOE (OR=2.17).

Key prescription risk factors included antidepressants, albuterol, and benzodiazepines (OR>2.0, p<.01).

PASC neurologic symptoms of paresthesia, weakness, dizziness, and migraines predicted insomnia (OR>2.39, p<.027). Insomnia was also associated with pre-existing pain, anxiety, and depression.

Benzodiazepines were stronger predictors of insomnia than anxiety (OR=3.53 vs. 2.96, p< .01). Beta blockers and PPIs predicted insomnia, while stimulants did not. Muscle relaxants predicted insomnia (OR=5.30, p=.016), while opioids predicted hypersomnia (OR=11.16, p=.018). Sleep aids like melatonin, mirtazapine, trazodone, doxepin, and zolpidem were protective, unlike antihistamines.

Conclusions
PASC symptoms, comorbidities, and medications predicted sleep disturbances, revealing distinct patterns for insomnia and hypersomnia. Identifying these risk factors could enable earlier interventions and inform future treatment strategies.

Link (Neurology)
 
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Can they say that something was predictive, protective, etc. based on a retrospective chart review?

Wouldn’t they be limited to correlation?
 
Can they say that something was predictive, protective, etc. based on a retrospective chart review?

Wouldn’t they be limited to correlation?
It is bizarre—I suspect it’s a very messy use of what “predict” means in a regression context. “Predictor” is often used to refer to your X variables, so saying X predicts Y really just means “X was statistically significantly associated with Y in the regression equation.”

For a publication they should’ve just said “associated with” unless it was literally a time course data set where the drugs were administered first and then the before vs. after incidence rate of those symptoms was being compared.

Which doesn’t seem to be the case here. I think they just had some information on drug usage and some information on reported symptoms. We don’t know if they started taking the drugs before or after the symptoms happened.
 
Now published:

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

Sohng, Angela Eungie; Misra, Shruti; Braha, Neoreet; Tsao, Andrew; Rauch, Ariana; Moore, Ta’Kiya; Alosco, Michael Louis; Marathe, Jai; Auerbach, Sanford

Introduction
Sleep disturbances, including insomnia and hypersomnia, are among the most common and disabling symptoms of post-acute sequelae of SARS-CoV-2 infection (PASC), yet their pathophysiologies are incompletely understood. This study aimed to characterize sleep disturbance phenotypes in PASC and identify their clinical correlates.

Materials and methods
This study takes the form of a retrospective chart review of 496 adults evaluated between 2022 and 2023 at an urban safety-net hospital’s long COVID clinic. Structured intake forms and provider documentation captured demographics, comorbidities, PASC symptoms, and medication use. Sleep phenotypes were derived from patient-reported symptoms mapped to the 2023 International Classification of Sleep Disorders–Third Edition, Text Revision (ICSD-3-TR) and categorized as insomnia, hypersomnia, mixed, or other. Regression models identified predictors of sleep disturbance, adjusting for socioeconomic disadvantage using the Area Deprivation Index. All p-values were adjusted using the Benjamini–Hochberg method.

Results
Sleep disturbances were reported by 71.8% of participants. Insomnia (34.8%) and mixed phenotype (20.8%) were the most common, followed by hypersomnia (9.3%). Insomnia and mixed types were associated with pre-existing cases of anxiety, depression, chronic pain, and use of benzodiazepines, beta-blockers, and muscle relaxants.

Mixed type was additionally associated with chronic heart disease (odds ratio (OR) = 5.0, p = 0.02), obstructive sleep apnea (OR = 3.2, p = 0.02), and chronic pulmonary disease (OR = 2.8, p < 0.01). Hypersomnia was not linked to prior medical or psychiatric history but was predicted by PASC symptoms of post-exertional malaise (OR = 10.4, p < 0.01), fatigue (OR = 6.1, p < 0.01), dysautonomia (OR = 5.6, p = 0.02), and gait instability (OR = 9.2, p = 0.01).

Conclusions
Insomnia in PASC aligned with pre-existing medical, psychiatric, and medication-related vulnerabilities, whereas hypersomnia appeared to emerge de novo alongside hallmark PASC symptoms. These divergent profiles suggest distinct pathophysiologic pathways and may inform more targeted diagnostic and treatment strategies.

Web | DOI | PDF | Academia Medicine and Health | Open Access
 
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