tetano
Editor, Senior Moderator
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[SUP] 1 2 [/SUP], María Verónica Montilva Ludewig[SUP] 3 4 [/SUP], Christina Weßels[SUP] 3 4 [/SUP], Gerlinde Schlang[SUP] 5 [/SUP], Svenja Jedhoff[SUP] 6 [/SUP], Swetlana Herbrandt[SUP] 6 [/SUP], Frauke Mattner[SUP] 3 4 [/SUP]
Affiliations
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.
. 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[SUP] 1 2 [/SUP], María Verónica Montilva Ludewig[SUP] 3 4 [/SUP], Christina Weßels[SUP] 3 4 [/SUP], Gerlinde Schlang[SUP] 5 [/SUP], Svenja Jedhoff[SUP] 6 [/SUP], Swetlana Herbrandt[SUP] 6 [/SUP], Frauke Mattner[SUP] 3 4 [/SUP]
Affiliations
- PMID: 38262969
- PMCID: PMC10807182
- DOI: 10.1186/s12879-023-08710-1
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.