Download
15010_2024_Article_2270.pdf 1,27MB
WeightNameValue
1000 Titel
  • Comparison of post-COVID-19 symptoms in patients infected with the SARS-CoV-2 variants delta and omicron—results of the Cross-Sectoral Platform of the German National Pandemic Cohort Network (NAPKON-SUEP)
1000 Autor/in
  1. Hopff, Sina M. |
  2. Appel, Katharina S. |
  3. Miljukov, Olga |
  4. Schneider, Johannes |
  5. Addo, Marylyn M. |
  6. Bals, Robert |
  7. Bercker, Sven |
  8. Blaschke, Sabine |
  9. Bröhl, Isabel |
  10. Büchner, Nikolaus |
  11. Dashti, Hiwa |
  12. Erber, Johanna |
  13. Friedrichs, Anette |
  14. Geisler, Ramsia |
  15. Göpel, Siri |
  16. Hagen, Marina |
  17. Hanses, Frank |
  18. Jensen, Björn-Erik Ole |
  19. Keul, Maria |
  20. Krawczyk, Adalbert |
  21. Lorenz-Depiereux, Bettina |
  22. Meybohm, Patrick |
  23. Milovanovic, Milena |
  24. Mitrov, Lazar |
  25. Nürnberger, Carolin |
  26. Obst, Wilfried |
  27. Römmele, Christoph |
  28. Schäfer, Christian |
  29. Scheer, Christian |
  30. Scherer, Margarete |
  31. Schmidt, Julia |
  32. Seibel, Kristina |
  33. Sikdar, Shimita |
  34. Tebbe, Johannes Josef |
  35. Tepasse, Phil-Robin |
  36. Thelen, Philipp |
  37. Vehreschild, Maria J. G. T. |
  38. Weismantel, Christina |
  39. Vehreschild, J. Janne |
1000 Verlag Springer Berlin Heidelberg
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-05-03
1000 Erschienen in
1000 Quellenangabe
  • 52(6):2253-2267
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s15010-024-02270-5 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11621170/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Purpose</jats:title> <jats:p>The influence of new SARS-CoV-2 variants on the post-COVID-19 condition (PCC) remains unanswered. Therefore, we examined the prevalence and predictors of PCC-related symptoms in patients infected with the SARS-CoV-2 variants delta or omicron.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>We compared prevalences and risk factors of acute and PCC-related symptoms three months after primary infection (3MFU) between delta- and omicron-infected patients from the Cross-Sectoral Platform of the German National Pandemic Cohort Network. Health-related quality of life (HrQoL) was determined by the EQ-5D-5L index score and trend groups were calculated to describe changes of HrQoL between different time points.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>We considered 758 patients for our analysis (delta: n = 341; omicron: n = 417). Compared with omicron patients, delta patients had a similar prevalence of PCC at the 3MFU (p = 0.354), whereby fatigue occurred most frequently (n = 256, 34%). HrQoL was comparable between the groups with the lowest EQ-5D-5L index score (0.75, 95% CI 0.73–0.78) at disease onset. While most patients (69%, n = 348) never showed a declined HrQoL, it deteriorated substantially in 37 patients (7%) from the acute phase to the 3MFU of which 27 were infected with omicron.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>With quality-controlled data from a multicenter cohort, we showed that PCC is an equally common challenge for patients infected with the SARS-CoV-2 variants delta and omicron at least for the German population. Developing the EQ-5D-5L index score trend groups showed that over two thirds of patients did not experience any restrictions in their HrQoL due to or after the SARS-CoV-2 infection at the 3MFU.</jats:p> </jats:sec><jats:sec> <jats:title>Clinical Trail registration</jats:title> <jats:p>The cohort is registered at ClinicalTrials.gov since February 24, 2021 (Identifier: NCT04768998).</jats:p> </jats:sec>
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Female [MeSH]
lokal Multicenter prospective cohort study
lokal Health-related quality of life
lokal Aged [MeSH]
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Middle Aged [MeSH]
lokal Risk Factors [MeSH]
lokal Post-Acute COVID-19 Syndrome [MeSH]
lokal Germany/epidemiology [MeSH]
lokal Cohort Studies [MeSH]
lokal SARS-CoV-2 variants
lokal Male [MeSH]
lokal Quality of Life [MeSH]
lokal Research
lokal Post-covid-19 condition
lokal Prevalence [MeSH]
lokal COVID-19/epidemiology [MeSH]
lokal SARS-CoV-2 [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/SG9wZmYsIFNpbmEgTS4=|https://frl.publisso.de/adhoc/uri/QXBwZWwsIEthdGhhcmluYSBTLg==|https://frl.publisso.de/adhoc/uri/TWlsanVrb3YsIE9sZ2E=|https://frl.publisso.de/adhoc/uri/U2NobmVpZGVyLCBKb2hhbm5lcw==|https://frl.publisso.de/adhoc/uri/QWRkbywgTWFyeWx5biBNLg==|https://frl.publisso.de/adhoc/uri/QmFscywgUm9iZXJ0|https://frl.publisso.de/adhoc/uri/QmVyY2tlciwgU3Zlbg==|https://frl.publisso.de/adhoc/uri/Qmxhc2Noa2UsIFNhYmluZQ==|https://frl.publisso.de/adhoc/uri/QnLDtmhsLCBJc2FiZWw=|https://frl.publisso.de/adhoc/uri/QsO8Y2huZXIsIE5pa29sYXVz|https://frl.publisso.de/adhoc/uri/RGFzaHRpLCBIaXdh|https://frl.publisso.de/adhoc/uri/RXJiZXIsIEpvaGFubmE=|https://frl.publisso.de/adhoc/uri/RnJpZWRyaWNocywgQW5ldHRl|https://frl.publisso.de/adhoc/uri/R2Vpc2xlciwgUmFtc2lh|https://frl.publisso.de/adhoc/uri/R8O2cGVsLCBTaXJp|https://frl.publisso.de/adhoc/uri/SGFnZW4sIE1hcmluYQ==|https://frl.publisso.de/adhoc/uri/SGFuc2VzLCBGcmFuaw==|https://frl.publisso.de/adhoc/uri/SmVuc2VuLCBCasO2cm4tRXJpayBPbGU=|https://frl.publisso.de/adhoc/uri/S2V1bCwgTWFyaWE=|https://frl.publisso.de/adhoc/uri/S3Jhd2N6eWssIEFkYWxiZXJ0|https://frl.publisso.de/adhoc/uri/TG9yZW56LURlcGllcmV1eCwgQmV0dGluYQ==|https://frl.publisso.de/adhoc/uri/TWV5Ym9obSwgUGF0cmljaw==|https://frl.publisso.de/adhoc/uri/TWlsb3Zhbm92aWMsIE1pbGVuYQ==|https://frl.publisso.de/adhoc/uri/TWl0cm92LCBMYXphcg==|https://frl.publisso.de/adhoc/uri/TsO8cm5iZXJnZXIsIENhcm9saW4=|https://frl.publisso.de/adhoc/uri/T2JzdCwgV2lsZnJpZWQ=|https://frl.publisso.de/adhoc/uri/UsO2bW1lbGUsIENocmlzdG9waA==|https://frl.publisso.de/adhoc/uri/U2Now6RmZXIsIENocmlzdGlhbg==|https://frl.publisso.de/adhoc/uri/U2NoZWVyLCBDaHJpc3RpYW4=|https://frl.publisso.de/adhoc/uri/U2NoZXJlciwgTWFyZ2FyZXRl|https://frl.publisso.de/adhoc/uri/U2NobWlkdCwgSnVsaWE=|https://frl.publisso.de/adhoc/uri/U2VpYmVsLCBLcmlzdGluYQ==|https://frl.publisso.de/adhoc/uri/U2lrZGFyLCBTaGltaXRh|https://frl.publisso.de/adhoc/uri/VGViYmUsIEpvaGFubmVzIEpvc2Vm|https://frl.publisso.de/adhoc/uri/VGVwYXNzZSwgUGhpbC1Sb2Jpbg==|https://frl.publisso.de/adhoc/uri/VGhlbGVuLCBQaGlsaXBw|https://frl.publisso.de/adhoc/uri/VmVocmVzY2hpbGQsIE1hcmlhIEouIEcuIFQu|https://frl.publisso.de/adhoc/uri/V2Vpc21hbnRlbCwgQ2hyaXN0aW5h|https://frl.publisso.de/adhoc/uri/VmVocmVzY2hpbGQsIEouIEphbm5l
1000 Hinweis
  • DeepGreen-ID: 5e9de22baba340b5a57df67364c5dedb ; 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. Universitätsklinikum Köln |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Universitätsklinikum Köln |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6521487.rdf
1000 Erstellt am 2025-07-06T08:14:11.845+0200
1000 Erstellt von 322
1000 beschreibt frl:6521487
1000 Zuletzt bearbeitet 2025-08-04T08:32:02.248+0200
1000 Objekt bearb. Mon Aug 04 08:32:02 CEST 2025
1000 Vgl. frl:6521487
1000 Oai Id
  1. oai:frl.publisso.de:frl:6521487 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source