Post-viral symptoms and conditions are more frequent in COVID-19 than influenza, but not more persistent

  1. Tesch, Falko
  2. Ehm, Franz
  3. Loser, Friedrich
  4. Bechmann, Lars
  5. Vivirito, Annika
  6. Wende, Danny
  7. Batram, Manuel
  8. Buschmann, Tilo
  9. Menzer, Simone
  10. Ludwig, Marion
  11. Roessler, Martin
  12. Seifert, Martin
  13. Margolis, Giselle Sarganas
  14. Reitzle, Lukas
  15. König, Christina
  16. Schulte, Claudia
  17. Hertle, Dagmar
  18. Ballesteros, Pedro
  19. Baßler, Stefan
  20. Bertele, Barbara
  21. Bitterer, Thomas
  22. Riederer, Cordula
  23. Sobik, Franziska
  24. Scheidt-Nave, Christa
  25. Schmitt, Jochen

Download
12879_2024_Article_10059.pdf 3,20MB
WeightNameValue
1000 Titel
  • Post-viral symptoms and conditions are more frequent in COVID-19 than influenza, but not more persistent
1000 Autor/in
  1. Tesch, Falko |
  2. Ehm, Franz |
  3. Loser, Friedrich |
  4. Bechmann, Lars |
  5. Vivirito, Annika |
  6. Wende, Danny |
  7. Batram, Manuel |
  8. Buschmann, Tilo |
  9. Menzer, Simone |
  10. Ludwig, Marion |
  11. Roessler, Martin |
  12. Seifert, Martin |
  13. Margolis, Giselle Sarganas |
  14. Reitzle, Lukas |
  15. König, Christina |
  16. Schulte, Claudia |
  17. Hertle, Dagmar |
  18. Ballesteros, Pedro |
  19. Baßler, Stefan |
  20. Bertele, Barbara |
  21. Bitterer, Thomas |
  22. Riederer, Cordula |
  23. Sobik, Franziska |
  24. Scheidt-Nave, Christa |
  25. Schmitt, Jochen |
1000 Verlag BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-10-09
1000 Erschienen in
1000 Quellenangabe
  • 24(1):1126
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12879-024-10059-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11465902/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Post-viral symptoms have long been known in the medical community but have received more public attention during the COVID-19 pandemic. Many post-viral symptoms were reported as particularly frequent after SARS-CoV-2 infection. However, there is still a lack of evidence regarding the specificity, frequency and persistence of these symptoms in comparison to other viral infectious diseases such as influenza.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>We investigated a large population-based cohort based on German routine healthcare data. We matched 573,791 individuals with a PCR-test confirmed SARS-CoV-2 infection from the year 2020 to contemporary controls without SARS-CoV-2 infection and controls from the last influenza outbreak in 2018 and followed them up to 18 months.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>We found that post-viral symptoms as defined for COVID-19 by the WHO as well as tissue damage were more frequent among the COVID-19 cohort than the influenza or contemporary control cohort. The persistence of post-viral symptoms was similar between COVID-19 and influenza.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>Post-viral symptoms following SARS-CoV-2 infection constitute a substantial disease burden as they are frequent and often persist for many months. As COVID-19 is becoming endemic, the disease must not be trivialized. Research should focus on the development of effective treatments for post-viral symptoms.</jats:p> </jats:sec>
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Adolescent [MeSH]
lokal Female [MeSH]
lokal Aged, 80 and over [MeSH]
lokal Influenza, Human/virology [MeSH]
lokal Cohort study
lokal Aged [MeSH]
lokal Claims data
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Middle Aged [MeSH]
lokal Post-Acute COVID-19 Syndrome [MeSH]
lokal Germany/epidemiology [MeSH]
lokal Cohort Studies [MeSH]
lokal Long-Term Effects of COVID-19 Infections collection
lokal Post-COVID
lokal Male [MeSH]
lokal Research
lokal Influenza
lokal Young Adult [MeSH]
lokal Influenza, Human/epidemiology [MeSH]
lokal COVID-19/epidemiology [MeSH]
lokal SARS-CoV-2 [MeSH]
lokal SARS-CoV-2
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/VGVzY2gsIEZhbGtv|https://frl.publisso.de/adhoc/uri/RWhtLCBGcmFueg==|https://frl.publisso.de/adhoc/uri/TG9zZXIsIEZyaWVkcmljaA==|https://frl.publisso.de/adhoc/uri/QmVjaG1hbm4sIExhcnM=|https://frl.publisso.de/adhoc/uri/Vml2aXJpdG8sIEFubmlrYQ==|https://frl.publisso.de/adhoc/uri/V2VuZGUsIERhbm55|https://frl.publisso.de/adhoc/uri/QmF0cmFtLCBNYW51ZWw=|https://frl.publisso.de/adhoc/uri/QnVzY2htYW5uLCBUaWxv|https://frl.publisso.de/adhoc/uri/TWVuemVyLCBTaW1vbmU=|https://frl.publisso.de/adhoc/uri/THVkd2lnLCBNYXJpb24=|https://frl.publisso.de/adhoc/uri/Um9lc3NsZXIsIE1hcnRpbg==|https://frl.publisso.de/adhoc/uri/U2VpZmVydCwgTWFydGlu|https://frl.publisso.de/adhoc/uri/TWFyZ29saXMsIEdpc2VsbGUgU2FyZ2FuYXM=|https://frl.publisso.de/adhoc/uri/UmVpdHpsZSwgTHVrYXM=|https://frl.publisso.de/adhoc/uri/S8O2bmlnLCBDaHJpc3RpbmE=|https://frl.publisso.de/adhoc/uri/U2NodWx0ZSwgQ2xhdWRpYQ==|https://frl.publisso.de/adhoc/uri/SGVydGxlLCBEYWdtYXI=|https://frl.publisso.de/adhoc/uri/QmFsbGVzdGVyb3MsIFBlZHJv|https://frl.publisso.de/adhoc/uri/QmHDn2xlciwgU3RlZmFu|https://frl.publisso.de/adhoc/uri/QmVydGVsZSwgQmFyYmFyYQ==|https://frl.publisso.de/adhoc/uri/Qml0dGVyZXIsIFRob21hcw==|https://frl.publisso.de/adhoc/uri/UmllZGVyZXIsIENvcmR1bGE=|https://frl.publisso.de/adhoc/uri/U29iaWssIEZyYW56aXNrYQ==|https://frl.publisso.de/adhoc/uri/U2NoZWlkdC1OYXZlLCBDaHJpc3Rh|https://frl.publisso.de/adhoc/uri/U2NobWl0dCwgSm9jaGVu
1000 Hinweis
  • DeepGreen-ID: 182768fe0f084f3e931228e63512c82c ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Technische Universität Dresden |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Technische Universität Dresden |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6518158.rdf
1000 Erstellt am 2025-07-05T09:15:19.450+0200
1000 Erstellt von 322
1000 beschreibt frl:6518158
1000 Zuletzt bearbeitet 2025-08-19T19:34:50.111+0200
1000 Objekt bearb. Tue Aug 19 19:34:50 CEST 2025
1000 Vgl. frl:6518158
1000 Oai Id
  1. oai:frl.publisso.de:frl:6518158 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source