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BMC Infect Dis . Long-term symptoms after SARS-CoV-2 infection in a cohort of hospital employees: duration and predictive factors

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  • BMC Infect Dis . Long-term symptoms after SARS-CoV-2 infection in a cohort of hospital employees: duration and predictive factors

    BMC Infect Dis


    . 2024 Jan 23;24(1):119.
    doi: 10.1186/s12879-023-08710-1. Long-term symptoms after SARS-CoV-2 infection in a cohort of hospital employees: duration and predictive factors

    Rosalie Gruber 1 2 , María Verónica Montilva Ludewig 3 4 , Christina Weßels 3 4 , Gerlinde Schlang 5 , Svenja Jedhoff 6 , Swetlana Herbrandt 6 , Frauke Mattner 3 4



    AffiliationsFree PMC article 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.

    Keywords: COVID-19; Healthcare worker; Long COVID; Post COVID syndrome; SARS-CoV-2.

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