Long-term symptoms after SARS-CoV-2 infection in a cohort of hospital employees: duration and predictive factors
Abstract Purpose To evaluate the frequency, duration and patterns of long-term coronavirus disease 2019 (COVID-19) symptoms and to analyse risk factors for long-lasting COVID-19 sequelae among a cohort of hospital employees (HEs). Methods We conducted a survey regarding persistent COVID-19 related s...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2024-01-01
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| Series: | BMC Infectious Diseases |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12879-023-08710-1 |
| _version_ | 1797276704442417152 |
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| author | Rosalie Gruber María Verónica Montilva Ludewig Christina Weßels Gerlinde Schlang Svenja Jedhoff Swetlana Herbrandt Frauke Mattner |
| author_facet | Rosalie Gruber María Verónica Montilva Ludewig Christina Weßels Gerlinde Schlang Svenja Jedhoff Swetlana Herbrandt Frauke Mattner |
| author_sort | Rosalie Gruber |
| collection | DOAJ |
| description | Abstract Purpose To evaluate the frequency, duration and patterns of long-term coronavirus disease 2019 (COVID-19) symptoms and to analyse risk factors for long-lasting COVID-19 sequelae among a cohort of hospital employees (HEs). Methods We conducted a survey regarding persistent COVID-19 related symptoms with all HEs from three medical centres in Cologne, Germany, who were tested SARS-CoV-2 PCR positive from March 2020 until May 2021. Duration of symptoms and possible risk factors for protracted COVID-19 course were analysed. Results Of 221 included HEs, a number of 104 HEs (47.1%) reported at least one persisting symptom for more than 90 days after initial SARS-CoV-2 detection. Each one cycle higher initial Ct value significantly increased the chances of overcoming symptoms (odds ratio [OR] 1.05; 95% confidence interval (95%CI) 1.01–1.09; p = 0.019). The occurrence of breathlessness within the first ten days (OR 7.89; 95%CI 1.87–41.43; p = 0.008), an initial Ct value under 30 (OR 3.36; 95%CI 1.22–9.94; p = 0.022) as well as the occurrence of anosmia or ageusia within the first ten days (OR 3.01; 95%CI 1.10–8.84; p = 0.037) showed a statistically significant association with increased odds of illness duration over 90 days. Conclusion About half of the HEs suffered from long lasting symptoms over 90 days after almost entirely mild acute COVID-19. Predictive factors could possibly be used for early treatment to prevent development of long-term symptoms after COVID-19 in future. |
| first_indexed | 2024-03-07T15:33:02Z |
| format | Article |
| id | doaj.art-cb9c1247a375462190f92f808b68b37e |
| institution | Directory Open Access Journal |
| issn | 1471-2334 |
| language | English |
| last_indexed | 2024-03-07T15:33:02Z |
| publishDate | 2024-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Infectious Diseases |
| spelling | doaj.art-cb9c1247a375462190f92f808b68b37e2024-03-05T16:21:12ZengBMCBMC Infectious Diseases1471-23342024-01-0124111010.1186/s12879-023-08710-1Long-term symptoms after SARS-CoV-2 infection in a cohort of hospital employees: duration and predictive factorsRosalie Gruber0María Verónica Montilva Ludewig1Christina Weßels2Gerlinde Schlang3Svenja Jedhoff4Swetlana Herbrandt5Frauke Mattner6Institute of Hygiene, Cologne Merheim Medical Centre, University Hospital of Witten/HerdeckeInstitute of Hygiene, Cologne Merheim Medical Centre, University Hospital of Witten/HerdeckeInstitute of Hygiene, Cologne Merheim Medical Centre, University Hospital of Witten/HerdeckeOccupational Health Service, Cologne Municipal HospitalsStatistical Consulting and Analysis, Centre for Higher Education, TU Dortmund UniversityStatistical Consulting and Analysis, Centre for Higher Education, TU Dortmund UniversityInstitute of Hygiene, Cologne Merheim Medical Centre, University Hospital of Witten/HerdeckeAbstract Purpose To evaluate the frequency, duration and patterns of long-term coronavirus disease 2019 (COVID-19) symptoms and to analyse risk factors for long-lasting COVID-19 sequelae among a cohort of hospital employees (HEs). Methods We conducted a survey regarding persistent COVID-19 related symptoms with all HEs from three medical centres in Cologne, Germany, who were tested SARS-CoV-2 PCR positive from March 2020 until May 2021. Duration of symptoms and possible risk factors for protracted COVID-19 course were analysed. Results Of 221 included HEs, a number of 104 HEs (47.1%) reported at least one persisting symptom for more than 90 days after initial SARS-CoV-2 detection. Each one cycle higher initial Ct value significantly increased the chances of overcoming symptoms (odds ratio [OR] 1.05; 95% confidence interval (95%CI) 1.01–1.09; p = 0.019). The occurrence of breathlessness within the first ten days (OR 7.89; 95%CI 1.87–41.43; p = 0.008), an initial Ct value under 30 (OR 3.36; 95%CI 1.22–9.94; p = 0.022) as well as the occurrence of anosmia or ageusia within the first ten days (OR 3.01; 95%CI 1.10–8.84; p = 0.037) showed a statistically significant association with increased odds of illness duration over 90 days. Conclusion About half of the HEs suffered from long lasting symptoms over 90 days after almost entirely mild acute COVID-19. Predictive factors could possibly be used for early treatment to prevent development of long-term symptoms after COVID-19 in future.https://doi.org/10.1186/s12879-023-08710-1COVID-19SARS-CoV-2Post COVID syndromeLong COVIDHealthcare worker |
| spellingShingle | Rosalie Gruber María Verónica Montilva Ludewig Christina Weßels Gerlinde Schlang Svenja Jedhoff Swetlana Herbrandt Frauke Mattner Long-term symptoms after SARS-CoV-2 infection in a cohort of hospital employees: duration and predictive factors BMC Infectious Diseases COVID-19 SARS-CoV-2 Post COVID syndrome Long COVID Healthcare worker |
| title | Long-term symptoms after SARS-CoV-2 infection in a cohort of hospital employees: duration and predictive factors |
| title_full | Long-term symptoms after SARS-CoV-2 infection in a cohort of hospital employees: duration and predictive factors |
| title_fullStr | Long-term symptoms after SARS-CoV-2 infection in a cohort of hospital employees: duration and predictive factors |
| title_full_unstemmed | Long-term symptoms after SARS-CoV-2 infection in a cohort of hospital employees: duration and predictive factors |
| title_short | Long-term symptoms after SARS-CoV-2 infection in a cohort of hospital employees: duration and predictive factors |
| title_sort | long term symptoms after sars cov 2 infection in a cohort of hospital employees duration and predictive factors |
| topic | COVID-19 SARS-CoV-2 Post COVID syndrome Long COVID Healthcare worker |
| url | https://doi.org/10.1186/s12879-023-08710-1 |
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