COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysis
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,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Sleep Medicine: X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590142723000290 |
| _version_ | 1827591536411410432 |
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| author | Mantavya Punj Aakash Desai Jana G. Hashash Francis A. Farraye Pablo R. Castillo |
| author_facet | Mantavya Punj Aakash Desai Jana G. Hashash Francis A. Farraye Pablo R. Castillo |
| author_sort | Mantavya Punj |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T01:34:09Z |
| format | Article |
| id | doaj.art-4f8484c2f2544300ad1849fe24277429 |
| institution | Directory Open Access Journal |
| issn | 2590-1427 |
| language | English |
| last_indexed | 2024-03-09T01:34:09Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Sleep Medicine: X |
| spelling | doaj.art-4f8484c2f2544300ad1849fe242774292023-12-09T06:07:46ZengElsevierSleep Medicine: X2590-14272023-12-016100089COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysisMantavya Punj0Aakash Desai1Jana G. Hashash2Francis A. Farraye3Pablo R. Castillo4Kadlec Regional Medical Center, USA; Corresponding author. 888 Swift Blvd, Richland, WA 99352, USADivision of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL, USADivision of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL, USADivision of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL, USADepartment of Allergy, Pulmonary, and Sleep Medicine, Mayo Clinic, Jacksonville, FL, USAObjectives: 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.http://www.sciencedirect.com/science/article/pii/S2590142723000290COVID-19Long-COVIDBreakthrough infectionsSleep disordersInsomniaSleep deprivation |
| spellingShingle | Mantavya Punj Aakash Desai Jana G. Hashash Francis A. Farraye Pablo R. Castillo COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysis Sleep Medicine: X COVID-19 Long-COVID Breakthrough infections Sleep disorders Insomnia Sleep deprivation |
| title | COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysis |
| title_full | COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysis |
| title_fullStr | COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysis |
| title_full_unstemmed | COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysis |
| title_short | COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysis |
| title_sort | covid 19 breakthrough infections and sleep disorders a population based propensity matched analysis |
| topic | COVID-19 Long-COVID Breakthrough infections Sleep disorders Insomnia Sleep deprivation |
| url | http://www.sciencedirect.com/science/article/pii/S2590142723000290 |
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