Impact of sex and gender on post-COVID-19 syndrome, Switzerland, 2020

Author:

Gebhard Caroline E12,Sütsch Claudia134,Gebert Pimrapat5,Gysi Bianca2,Bengs Susan34,Todorov Atanas34,Deforth Manja6,Buehler Philipp K7,Meisel Alexander34,Schuepbach Reto A7,Zinkernagel Annelies S8,Brugger Silvio D8,Acevedo Claudio8,Patriki Dimitri9,Wiggli Benedikt10,Beer Jürg H103,Friedl Andrée10,Twerenbold Raphael1112,Kuster Gabriela M1312,Pargger Hans2,Tschudin-Sutter Sarah14,Schefold Joerg C15,Spinetti Thibaud15,Henze Chiara34,Pasqualini Mina34,Sager Dominik F34,Mayrhofer Lilian2,Grieder Mirjam2,Tontsch Janna2,Franzeck Fabian C16,Wendel Garcia Pedro D7,Hofmaenner Daniel A7,Scheier Thomas8,Bartussek Jan177,Haider Ahmed1834,Grämer Muriel34,Mikail Nidaa34,Rossi Alexia34,Zellweger Núria2,Opić Petra2,Portmann Angela34,von Känel Roland19,Pazhenkottil Aju P4,Messerli Michael4,Buechel Ronny R4,Kaufmann Philipp A4,Treyer Valerie4,Siegemund Martin2,Held Ulrike6,Regitz-Zagrosek Vera20,Gebhard Catherine34ORCID

Affiliation:

1. These authors contributed equally

2. Intensive Care Unit, University Hospital Basel, University of Basel, Basel, Switzerland

3. Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland

4. Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland

5. Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Berlin, Germany

6. Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland

7. Institute of Intensive Care, University Hospital Zurich, University of Zurich, Zurich, Switzerland

8. Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland

9. Department of Cardiology, University Hospital Zurich, Zurich, Switzerland

10. Department of Internal Medicine, Cantonal Hospital of Baden, Baden, Switzerland

11. Department of Cardiology and University Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, Hamburg, Germany

12. Department of Cardiology, University Hospital Basel, Basel, Switzerland

13. Department of Biomedicine, University of Basel, Basel, Switzerland

14. Division of Infectious Diseases and Hospital Epidemiology, University of Basel, Basel, Switzerland

15. Department of Intensive Care Medicine, Inselspital Bern University Hospital, University of Bern, Bern, Switzerland

16. Department of Informatics, University Hospital Basel, Basel, Switzerland

17. Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland

18. Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, and Department of Radiology, Harvard Medical School, Boston, Massachusetts, United States

19. Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland

20. Institute of Gender in Medicine (GiM), Charité - Universitätsmedizin Berlin, Berlin, Germany

Abstract

Background Women are overrepresented among individuals with post-acute sequelae of SARS-CoV-2 infection (PASC). Biological (sex) as well as sociocultural (gender) differences between women and men might account for this imbalance, yet their impact on PASC is unknown. Aim We assessed the impact of sex and gender on PASC in a Swiss population. Method Our multicentre prospective cohort study included 2,856 (46% women, mean age 44.2 ± 16.8 years) outpatients and hospitalised patients with PCR-confirmed SARS-CoV-2 infection. Results Among those who remained outpatients during their first infection, women reported persisting symptoms more often than men (40.5% vs 25.5% of men; p < 0.001). This sex difference was absent in hospitalised patients. In a crude analysis, both female biological sex (RR = 1.59; 95% CI: 1.41–1.79; p < 0.001) and a score summarising gendered sociocultural variables (RR = 1.05; 95% CI: 1.03–1.07; p < 0.001) were significantly associated with PASC. Following multivariable adjustment, biological female sex (RR = 0.96; 95% CI: 0.74–1.25; p = 0.763) was outperformed by feminine gender-related factors such as a higher stress level (RR = 1.04; 95% CI: 1.01–1.06; p = 0.003), lower education (RR = 1.16; 95% CI: 1.03–1.30; p = 0.011), being female and living alone (RR = 1.91; 95% CI: 1.29–2.83; p = 0.001) or being male and earning the highest income in the household (RR = 0.76; 95% CI: 0.60–0.97; p = 0.030). Conclusion Specific sociocultural parameters that differ in prevalence between women and men, or imply a unique risk for women, are predictors of PASC and may explain, at least in part, the higher incidence of PASC in women. Once patients are hospitalised during acute infection, sex differences in PASC are no longer evident.

Publisher

European Centre for Disease Control and Prevention (ECDC)

Reference32 articles.

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