Post COVID-19 condition after Wildtype, Delta, and Omicron SARS-CoV-2 infection and prior vaccination: Pooled analysis of two population-based cohorts.
| Title: | Post COVID-19 condition after Wildtype, Delta, and Omicron SARS-CoV-2 infection and prior vaccination: Pooled analysis of two population-based cohorts. |
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| Authors: | Ballouz, Tala1 (AUTHOR), Menges, Dominik1 (AUTHOR), Kaufmann, Marco1 (AUTHOR), Amati, Rebecca2 (AUTHOR), Frei, Anja1 (AUTHOR), von Wyl, Viktor1 (AUTHOR), Fehr, Jan S.1 (AUTHOR), Albanese, Emiliano2 (AUTHOR), Puhan, Milo A.1 (AUTHOR) miloalan.puhan@uzh.ch |
| Source: | PLoS ONE. 2/22/2023, Vol. 18 Issue 2, p1-15. 15p. |
| Subject Terms: | *SARS-CoV-2 Omicron variant, *SARS-CoV-2, *COVID-19, *VACCINATION, *CLUSTER analysis (Statistics), *HIERARCHICAL clustering (Cluster analysis), *LOGISTIC regression analysis |
| Geographic Terms: | SWITZERLAND |
| Abstract: | Background: Post COVID-19 condition (PCC) is an important complication of SARS-CoV-2 infection, affecting millions worldwide. This study aimed to evaluate the prevalence and severity of post COVID-19 condition (PCC) with novel SARS-CoV-2 variants and after prior vaccination. Methods: We used pooled data from 1350 SARS-CoV-2-infected individuals from two representative population-based cohorts in Switzerland, diagnosed between Aug 5, 2020, and Feb 25, 2022. We descriptively analysed the prevalence and severity of PCC, defined as the presence and frequency of PCC-related symptoms six months after infection, among vaccinated and non-vaccinated individuals infected with Wildtype, Delta, and Omicron SARS-CoV-2. We used multivariable logistic regression models to assess the association and estimate the risk reduction of PCC after infection with newer variants and prior vaccination. We further assessed associations with the severity of PCC using multinomial logistic regression. To identify groups of individuals with similar symptom patterns and evaluate differences in the presentation of PCC across variants, we performed exploratory hierarchical cluster analyses. Results: We found strong evidence that vaccinated individuals infected with Omicron had reduced odds of developing PCC compared to non-vaccinated Wildtype-infected individuals (odds ratio 0.42, 95% confidence interval 0.24–0.68). The odds among non-vaccinated individuals were similar after infection with Delta or Omicron compared to Wildtype SARS-CoV-2. We found no differences in PCC prevalence with respect to the number of received vaccine doses or timing of last vaccination. The prevalence of PCC-related symptoms among vaccinated, Omicron-infected individuals was lower across severity levels. In cluster analyses, we identified four clusters of diverse systemic, neurocognitive, cardiorespiratory, and musculoskeletal symptoms, with similar patterns across variants. Conclusion: The risk of PCC appears to be lowered with infection by the Omicron variant and after prior vaccination. This evidence is crucial to guide future public health measures and vaccination strategies. [ABSTRACT FROM AUTHOR] |
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| Items | – Name: Title Label: Title Group: Ti Data: Post COVID-19 condition after Wildtype, Delta, and Omicron SARS-CoV-2 infection and prior vaccination: Pooled analysis of two population-based cohorts. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ballouz%2C+Tala%22">Ballouz, Tala</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Menges%2C+Dominik%22">Menges, Dominik</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kaufmann%2C+Marco%22">Kaufmann, Marco</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Amati%2C+Rebecca%22">Amati, Rebecca</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Frei%2C+Anja%22">Frei, Anja</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22von+Wyl%2C+Viktor%22">von Wyl, Viktor</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fehr%2C+Jan+S%2E%22">Fehr, Jan S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Albanese%2C+Emiliano%22">Albanese, Emiliano</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Puhan%2C+Milo+A%2E%22">Puhan, Milo A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> miloalan.puhan@uzh.ch</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 2/22/2023, Vol. 18 Issue 2, p1-15. 15p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22SARS-CoV-2+Omicron+variant%22">SARS-CoV-2 Omicron variant</searchLink><br />*<searchLink fieldCode="DE" term="%22SARS-CoV-2%22">SARS-CoV-2</searchLink><br />*<searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink><br />*<searchLink fieldCode="DE" term="%22VACCINATION%22">VACCINATION</searchLink><br />*<searchLink fieldCode="DE" term="%22CLUSTER+analysis+%28Statistics%29%22">CLUSTER analysis (Statistics)</searchLink><br />*<searchLink fieldCode="DE" term="%22HIERARCHICAL+clustering+%28Cluster+analysis%29%22">HIERARCHICAL clustering (Cluster analysis)</searchLink><br />*<searchLink fieldCode="DE" term="%22LOGISTIC+regression+analysis%22">LOGISTIC regression analysis</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22SWITZERLAND%22">SWITZERLAND</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Post COVID-19 condition (PCC) is an important complication of SARS-CoV-2 infection, affecting millions worldwide. This study aimed to evaluate the prevalence and severity of post COVID-19 condition (PCC) with novel SARS-CoV-2 variants and after prior vaccination. Methods: We used pooled data from 1350 SARS-CoV-2-infected individuals from two representative population-based cohorts in Switzerland, diagnosed between Aug 5, 2020, and Feb 25, 2022. We descriptively analysed the prevalence and severity of PCC, defined as the presence and frequency of PCC-related symptoms six months after infection, among vaccinated and non-vaccinated individuals infected with Wildtype, Delta, and Omicron SARS-CoV-2. We used multivariable logistic regression models to assess the association and estimate the risk reduction of PCC after infection with newer variants and prior vaccination. We further assessed associations with the severity of PCC using multinomial logistic regression. To identify groups of individuals with similar symptom patterns and evaluate differences in the presentation of PCC across variants, we performed exploratory hierarchical cluster analyses. Results: We found strong evidence that vaccinated individuals infected with Omicron had reduced odds of developing PCC compared to non-vaccinated Wildtype-infected individuals (odds ratio 0.42, 95% confidence interval 0.24–0.68). The odds among non-vaccinated individuals were similar after infection with Delta or Omicron compared to Wildtype SARS-CoV-2. We found no differences in PCC prevalence with respect to the number of received vaccine doses or timing of last vaccination. The prevalence of PCC-related symptoms among vaccinated, Omicron-infected individuals was lower across severity levels. In cluster analyses, we identified four clusters of diverse systemic, neurocognitive, cardiorespiratory, and musculoskeletal symptoms, with similar patterns across variants. Conclusion: The risk of PCC appears to be lowered with infection by the Omicron variant and after prior vaccination. This evidence is crucial to guide future public health measures and vaccination strategies. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of PLoS ONE is the property of Public Library of Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0281429 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Subjects: – SubjectFull: SWITZERLAND Type: general – SubjectFull: SARS-CoV-2 Omicron variant Type: general – SubjectFull: SARS-CoV-2 Type: general – SubjectFull: COVID-19 Type: general – SubjectFull: VACCINATION Type: general – SubjectFull: CLUSTER analysis (Statistics) Type: general – SubjectFull: HIERARCHICAL clustering (Cluster analysis) Type: general – SubjectFull: LOGISTIC regression analysis Type: general Titles: – TitleFull: Post COVID-19 condition after Wildtype, Delta, and Omicron SARS-CoV-2 infection and prior vaccination: Pooled analysis of two population-based cohorts. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ballouz, Tala – PersonEntity: Name: NameFull: Menges, Dominik – PersonEntity: Name: NameFull: Kaufmann, Marco – PersonEntity: Name: NameFull: Amati, Rebecca – PersonEntity: Name: NameFull: Frei, Anja – PersonEntity: Name: NameFull: von Wyl, Viktor – PersonEntity: Name: NameFull: Fehr, Jan S. – PersonEntity: Name: NameFull: Albanese, Emiliano – PersonEntity: Name: NameFull: Puhan, Milo A. IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 02 Text: 2/22/2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 18 – Type: issue Value: 2 Titles: – TitleFull: PLoS ONE Type: main |
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