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)

Author:

Hopff Sina M.1,Appel Katharina S.1,Miljukov Olga2,Schneider Johannes3,Addo Marylyn M.4,Bals Robert5,Bercker Sven6,Blaschke Sabine7,Bröhl Isabel1,Büchner Nikolaus8,Dashti Hiwa9,Erber Johanna10,Friedrichs Anette11,Geisler Ramsia3,Göpel Siri12,Hagen Marina3,Hanses Frank13,Jensen Björn-Erik Ole14,Keul Maria15,Krawczyk Adalbert16,Lorenz-Depiereux Bettina17,Meybohm Patrick18,Milovanovic Milena19,Mitrov Lazar1,Nürnberger Carolin2,Obst Wilfried20,Römmele Christoph21,Schäfer Christian22,Scheer Christian22,Scherer Margarete3,Schmidt Julia23,Seibel Kristina1,Sikdar Shimita3,Tebbe Johannes Josef24,Tepasse Phil-Robin25,Thelen Philipp26,Vehreschild Maria J.G.T.3,Weismantel Christina3,Vehreschild J. Janne3

Affiliation:

1. University of Cologne, University Hospital Cologne

2. University Hospital Wuerzburg, Institute for Medical Data Sciences

3. Goethe University Frankfurt, University Hospital Frankfurt

4. University Medical Center Hamburg-Eppendorf

5. Saarland University Medical Center

6. University of Leipzig Medical Faculty

7. University Medical Center Goettingen

8. Helios Hospital Duisburg

9. BAG Hausarztpraxis Dashti, Eberswalde

10. Technical University of Munich

11. University Hospital Schleswig-Holstein

12. University Hospital Tübingen

13. University Hospital Regensburg

14. University Hospital Duesseldorf, Heinrich-Heine-University

15. MVZ Altstadt-Carree Fulda GmbH

16. University of Duisburg-Essen

17. Helmholtz Zentrum München

18. University Hospital Würzburg

19. Malteser Krankenhaus St. Franziskus Hospital Flensburg

20. University Hospital Magdeburg, Medical Faculty of Otto-von-Guericke University

21. University Hospital of Augsburg

22. University Medicine Greifswald

23. University of Würzburg

24. Bielefeld University

25. University Hospital Münster

26. Carl von Ossietzky University of Oldenburg

Abstract

Abstract Purpose 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. Methods 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. Results 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. Conclusion 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. The cohort is registered at ClinicalTrials.gov since February 24, 2021 (Identifier: NCT04768998).

Publisher

Research Square Platform LLC

Reference58 articles.

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