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Titel: Insights into early recovery from Long COVID : results from the German DigiHero Cohort
Autor(en): Diexer, Sophie
Klee, Bianca
Gottschick, Cornelia
Broda, Anja
Purschke, Oliver
Binder, MaschaIn der Gemeinsamen Normdatei der DNB nachschlagen
Gekle, MichaelIn der Gemeinsamen Normdatei der DNB nachschlagen
Girndt, MatthiasIn der Gemeinsamen Normdatei der DNB nachschlagen
Höll, JessicaIn der Gemeinsamen Normdatei der DNB nachschlagen
Moor, IreneIn der Gemeinsamen Normdatei der DNB nachschlagen
Sedding, DanielIn der Gemeinsamen Normdatei der DNB nachschlagen
Rosendahl, JonasIn der Gemeinsamen Normdatei der DNB nachschlagen
Mikolajczyk, RafaelIn der Gemeinsamen Normdatei der DNB nachschlagen
Erscheinungsdatum: 2024
Art: Artikel
Sprache: Englisch
Zusammenfassung: 65 million people worldwide are estimated to suffer from long-term symptoms after their SARS-CoV-2 infection (Long COVID). However, there is still little information about the early recovery among those who initially developed Long COVID, i.e. had symptoms 4–12 weeks after infection but no symptoms after 12 weeks. We aimed to identify associated factors with this early recovery. We used data from SARS-CoV-2-infected individuals from the DigiHero study. Participants provided information about their SARS-CoV-2 infections and symptoms at the time of infection, 4–12 weeks, and more than 12 weeks post-infection. We performed multivariable logistic regression to identify factors associated with early recovery from Long COVID and principal component analysis (PCA) to identify groups among symptoms. 5098 participants reported symptoms at 4–12 weeks after their SARS-CoV-2 infection, of which 2441 (48%) reported no symptoms after 12 weeks. Men, younger participants, individuals with mild course of acute infection, individuals infected with the Omicron variant, and individuals who did not seek medical care in the 4–12 week period after infection had a higher chance of early recovery. In the PCA, we identified four distinct symptom groups. Our results indicate differential risk of continuing symptoms among individuals who developed Long COVID. The identified risk factors are similar to those for the development of Long COVID, so people with these characteristics are at higher risk not only for developing Long COVID, but also for longer persistence of symptoms. Those who sought medical help were also more likely to have persistent symptoms.
URI: https://opendata.uni-halle.de//handle/1981185920/119526
http://dx.doi.org/10.25673/117567
Open-Access: Open-Access-Publikation
Nutzungslizenz: (CC BY 4.0) Creative Commons Namensnennung 4.0 International(CC BY 4.0) Creative Commons Namensnennung 4.0 International
Journal Titel: Scientific reports
Verlag: Springer Nature
Verlagsort: [London]
Band: 14
Originalveröffentlichung: 10.1038/s41598-024-59122-3
Seitenanfang: 1
Seitenende: 9
Enthalten in den Sammlungen:Open Access Publikationen der MLU

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