Likelihood of Post-COVID Condition in people with hybrid immunity; data from the German National Cohort (NAKO)

  1. Mikolajczyk, Rafael ORCID logo
  2. Diexer, Sophie ORCID logo
  3. Klee, Bianca ORCID logo
  4. Pfrommer, Laura Rebecca ORCID logo
  5. Purschke, Oliver
  6. Fricke, Julia ORCID logo
  7. Ahnert, Peter ORCID logo
  8. Gabrysch, Sabine
  9. Gottschick, Cornelia
  10. Bohn, Barbara
  11. Brenner, Hermann
  12. Buck, Christoph ORCID logo
  13. Castell, Stefanie
  14. Gastell, Sylvia
  15. Greiser, Karin Halina
  16. Harth, Volker
  17. Heise, Jana K
  18. Holleczek, Bernd
  19. Kaaks, Rudolf ORCID logo
  20. Keil, Thomas
  21. Krist, Lilian
  22. Leitzmann, Michael
  23. Lieb, Wolfgang
  24. Meinke-Franze, Claudia
  25. Michels, Karin B.
  26. Velásquez, Ilais Moreno
  27. Obi, Nadia ORCID logo
  28. Panreck, Leo
  29. Peters, Annette ORCID logo
  30. Pischon, Tobias
  31. Schikowski, Tamara
  32. Schmidt, Börge
  33. Standl, Marie
  34. Stang, Andreas ORCID logo
  35. Völzke, Henry
  36. Weber, Andrea
  37. Zeeb, Hajo ORCID logo
  38. Karch, André

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Mikolajczyk-et-al_2024_Likelihood of Post-COVID Condition.pdf 692,34KB
WeightNameValue
1000 Titel
  • Likelihood of Post-COVID Condition in people with hybrid immunity; data from the German National Cohort (NAKO)
1000 Autor/in
  1. Mikolajczyk, Rafael |
  2. Diexer, Sophie |
  3. Klee, Bianca |
  4. Pfrommer, Laura Rebecca |
  5. Purschke, Oliver |
  6. Fricke, Julia |
  7. Ahnert, Peter |
  8. Gabrysch, Sabine |
  9. Gottschick, Cornelia |
  10. Bohn, Barbara |
  11. Brenner, Hermann |
  12. Buck, Christoph |
  13. Castell, Stefanie |
  14. Gastell, Sylvia |
  15. Greiser, Karin Halina |
  16. Harth, Volker |
  17. Heise, Jana K |
  18. Holleczek, Bernd |
  19. Kaaks, Rudolf |
  20. Keil, Thomas |
  21. Krist, Lilian |
  22. Leitzmann, Michael |
  23. Lieb, Wolfgang |
  24. Meinke-Franze, Claudia |
  25. Michels, Karin B. |
  26. Velásquez, Ilais Moreno |
  27. Obi, Nadia |
  28. Panreck, Leo |
  29. Peters, Annette |
  30. Pischon, Tobias |
  31. Schikowski, Tamara |
  32. Schmidt, Börge |
  33. Standl, Marie |
  34. Stang, Andreas |
  35. Völzke, Henry |
  36. Weber, Andrea |
  37. Zeeb, Hajo |
  38. Karch, André |
1000 Erscheinungsjahr 2024
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-06-17
1000 Erschienen in
1000 Quellenangabe
  • 89(2):106206
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.jinf.2024.106206 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • OBJECTIVES: The risk of Post-COVID-19 condition (PCC) under hybrid immunity remains unclear. METHODS: Using data from the German National Cohort (NAKO Gesundheitsstudie), we investigated risk factors for self-reported post-infection symptoms (any PCC is defined as having at least one symptom, and high symptom burden PCC as having nine or more symptoms). RESULTS: Sixty percent of 109,707 participants reported at least one previous SARS-CoV-2 infection; 35% reported having had any symptoms 4–12 months after infection; among them 23% reported nine or more symptoms. Individuals, who did not develop PCC after their first infection, had a strongly reduced risk for PCC after their second infection (50%) and a temporary risk reduction, which waned over 9 months after the preceding infection. The risk of developing PCC strongly depended on the virus variant. Within variants, there was no effect of the number of preceding vaccinations, apart from a strong protection by the fourth vaccination compared to three vaccinations for the Omicron variant (odds ratio = 0.52; 95% confidence interval 0.45–0.61). CONCLUSION: Previous infections without PCC and a fourth vaccination were associated with a lower risk of PCC after a new infection, indicating diminished risk under hybrid immunity. The two components of risk reduction after a preceding infection suggest different immunological mechanisms.
1000 Sacherschließung
lokal Post-COVID-19 condition
lokal Hybrid immunity
lokal Reinfection
lokal Vaccination
lokal SARS-CoV-2
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-1271-7204|https://orcid.org/0000-0003-2498-8458|https://orcid.org/0000-0001-5453-7207|https://orcid.org/0009-0000-1763-2336|https://frl.publisso.de/adhoc/uri/UHVyc2Noa2UsIE9saXZlcg==|https://orcid.org/0000-0002-7625-474X|https://orcid.org/0000-0002-1771-0856|https://frl.publisso.de/adhoc/uri/R2FicnlzY2gsIFNhYmluZQ==|https://frl.publisso.de/adhoc/uri/R290dHNjaGljaywgQ29ybmVsaWE=|https://frl.publisso.de/adhoc/uri/Qm9obiwgQmFyYmFyYQ==|https://frl.publisso.de/adhoc/uri/QnJlbm5lciwgSGVybWFubg==|https://orcid.org/0000-0003-0261-704X|https://frl.publisso.de/adhoc/uri/Q2FzdGVsbCwgU3RlZmFuaWU=|https://frl.publisso.de/adhoc/uri/R2FzdGVsbCwgU3lsdmlh|https://frl.publisso.de/adhoc/uri/R3JlaXNlciwgS2FyaW4gSGFsaW5h|https://frl.publisso.de/adhoc/uri/SGFydGgsIFZvbGtlcg==|https://frl.publisso.de/adhoc/uri/SGVpc2UsIEphbmEgSw==|https://frl.publisso.de/adhoc/uri/SG9sbGVjemVrLCBCZXJuZA==|https://orcid.org/0000-0003-3751-3929|https://frl.publisso.de/adhoc/uri/S2VpbCwgVGhvbWFz|https://frl.publisso.de/adhoc/uri/S3Jpc3QsIExpbGlhbg==|https://frl.publisso.de/adhoc/uri/TGVpdHptYW5uLCBNaWNoYWVs|https://frl.publisso.de/adhoc/uri/TGllYiwgV29sZmdhbmc=|https://frl.publisso.de/adhoc/uri/TWVpbmtlLUZyYW56ZSwgQ2xhdWRpYQ==|https://frl.publisso.de/adhoc/uri/TWljaGVscywgS2FyaW4gQi4=|https://frl.publisso.de/adhoc/uri/VmVsw6FzcXVleiwgSWxhaXMgTW9yZW5v|https://orcid.org/0000-0002-0903-9142|https://frl.publisso.de/adhoc/uri/UGFucmVjaywgTGVv|https://orcid.org/0000-0001-6645-0985|https://frl.publisso.de/adhoc/uri/UGlzY2hvbiwgVG9iaWFz|https://frl.publisso.de/adhoc/uri/U2NoaWtvd3NraSwgVGFtYXJh|https://frl.publisso.de/adhoc/uri/U2NobWlkdCwgQsO2cmdl|https://frl.publisso.de/adhoc/uri/U3RhbmRsLCBNYXJpZQ==|https://orcid.org/0000-0001-6363-9061|https://frl.publisso.de/adhoc/uri/VsO2bHprZSwgSGVucnk=|https://frl.publisso.de/adhoc/uri/V2ViZXIsIEFuZHJlYQ==|https://orcid.org/0000-0001-7509-242X|https://frl.publisso.de/adhoc/uri/S2FyY2gsIEFuZHLDqQ==
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
  2. Helmholtz-Gemeinschaft |
  3. The participating universities |
  4. The participating institutes of the Leibniz Association |
1000 Fördernummer
  1. 01ER1301A/B/C; 01ER1511D
  2. -
  3. -
  4. -
1000 Förderprogramm
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  2. -
  3. -
  4. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer 01ER1301A/B/C; 01ER1511D
  2. 1000 joinedFunding-child
    1000 Förderer Helmholtz-Gemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer The participating universities |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer The participating institutes of the Leibniz Association |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 Erstellt am 2025-01-21T12:31:12.550+0100
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