Dataset Information

COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysis.

ABSTRACT:

Objectives

Examine risks for breakthrough COVID-19 infections in vaccinated patients with selected sleep disorders.

Methods

Real-time search and analysis using the TriNetX platform to evaluate risk of COVID-19 breakthrough infections (BTI) for patients having ICD-10 diagnoses relating to insomnia, circadian rhythm disorders, and inadequate sleep. The sleep disorder and control cohorts underwent propensity matching including factors for age, gender, race, ethnicity, and multiple co-morbid conditions.

Results

Of 24,720 patients identified as having a sleep disturbance relating to insomnia, circadian rhythm disorder, or inadequate sleep, 815 (3.2 %) were found to have a developed a BTI. There was a significant increased risk of BTI noted between the sleep disorder and control cohorts (adjusted odds ratio (aOR) of 1.40, 95 % confidence interval (CI) of 1.23-1.58). Subgroup analysis showed an elevated risk for BTI receiving two doses (aOR 1.53, 95 % CI 1.24-1.89) versus three doses (aOR 1.45, 95 % CI 1.24-1.69). Patients with the sleep disturbance were not found to be at an increased risk of hospitalization, intubation, death, or composite outcome of death and intubation.

Conclusion

The presence of having a diagnosis of insomnia, circadian rhythm disorder, or inadequate sleep was associated with increased risk of COVID-19 breakthrough infection.

SUBMITTER: Punj M

PROVIDER: S-EPMC10594631 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

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Publications

COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysis.

Punj Mantavya M Desai Aakash A Hashash Jana G JG Farraye Francis A FA Castillo Pablo R PR

Sleep medicine: X 20231012

<h4>Objectives</h4>Examine risks for breakthrough COVID-19 infections in vaccinated patients with selected sleep disorders.<h4>Methods</h4>Real-time search and analysis using the TriNetX platform to evaluate risk of COVID-19 breakthrough infections (BTI) for patients having ICD-10 diagnoses relating to insomnia, circadian rhythm disorders, and inadequate sleep. The sleep disorder and control cohorts underwent propensity matching including factors for age, gender, race, ethnicity, and multiple co ...[more]

PMID: 37881352

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Dataset Information

COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysis.

Objectives

Methods

Results

Conclusion

Publications

COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysis.

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