tetano
Editor, Senior Moderator
Lancet Reg Health Am
. 2025 Jan 8:42:100984.
doi: 10.1016/j.lana.2024.100984. eCollection 2025 Feb. SARS-COV-2 re-infection and incidence of post-acute sequelae of COVID-19 (PASC) among essential workers in New York: a retrospective cohort study
Tesleem K Babalola[SUP] 1 [/SUP], Sean A P Clouston[SUP] 1 [/SUP], Zennur Sekendiz[SUP] 2 [/SUP], Devi Chowdhury[SUP] 2 [/SUP], Nicola Soriolo[SUP] 3 4 [/SUP], Joseph Kawuki[SUP] 1 [/SUP], Jaymie Meliker[SUP] 1 [/SUP], Melissa Carr[SUP] 2 [/SUP], Bruno R Valenti[SUP] 2 [/SUP], Ashley Fontana[SUP] 2 [/SUP], Onix A Melendez[SUP] 2 [/SUP], Olga Morozova[SUP] 5 [/SUP], Benjamin J Luft[SUP] 2 6 [/SUP]
Affiliations
Background: After surviving Coronavirus Disease 2019 (COVID-19), some people develop symptoms known as post-acute sequelae of COVID-19 (PASC). PASC is an emerging phenomenon yet to be fully understood, and identifying risk factors has been challenging. This study investigated the association between the number of COVID-19 episodes and the incidence of PASC among essential workers.
Methods: We analyzed data from 2511 essential workers, mainly first responders, with confirmed polymerase chain reaction, antibody, or antigen-positive test results for SARS-CoV-2 infection from March 2020 to February 2024. Data were collected through in-person questionnaires and surveys sent via text and email, internal medical records, follow-up calls, and external medical records. Participants who reported continuation or the development of new symptoms three months after the initial SARS-CoV-2 infection, with symptoms lasting for at least two months, were categorized as having PASC, while those without any COVID-19 or whose symptoms resolved were classified as non-PASC. PASC was common in this cohort so we used a Poisson regression model to compute multivariable-adjusted Relative Risk (RR) for the association between risk of PASC and SARS-CoV-2 re-infection, severity, and vaccination status at first infection.
Findings: A total of 475 (prevalence = 18.9%, [95% confidence interval] = [17.4-20.5]) PASC patients were identified. The mean (standard deviation (SD)) age of participants who experienced PASC (54.8 (7.2) years) was similar to those who did not (54.2 (7.4) years). There were 403 (16.1% [14.6-17.5]) participants who experienced multiple instances of COVID-19. After adjusting for relevant demographic, lifestyle, and clinical variables, we found a significant association between the risk of experiencing PASC and multiple SARS-COV-2 infections (RR = 1.41 [1.14-1.74]), severe COVID-19 (RR = 3.17 [2.41-4.16]), and being unvaccinated at first infection (RR = 3.29 [2.46-4.41]).
Interpretation: Although the pathogenetic mechanism for PASC remains unclear, identifying risk factors such as lack of vaccination or re-infection can assist in better understanding and managing the condition.
Funding: National Institute on Aging (NIH/NIA R01 AG049953) and Centers for Disease Control and Prevention (CDC/NIOSH U01 OH011864) and (CDC/NIOSH U01 OH012275).
Keywords: COVID-19; Post-COVID-19; Reinfection; SARS-COV-2; Severity; Vaccination.
. 2025 Jan 8:42:100984.
doi: 10.1016/j.lana.2024.100984. eCollection 2025 Feb. SARS-COV-2 re-infection and incidence of post-acute sequelae of COVID-19 (PASC) among essential workers in New York: a retrospective cohort study
Tesleem K Babalola[SUP] 1 [/SUP], Sean A P Clouston[SUP] 1 [/SUP], Zennur Sekendiz[SUP] 2 [/SUP], Devi Chowdhury[SUP] 2 [/SUP], Nicola Soriolo[SUP] 3 4 [/SUP], Joseph Kawuki[SUP] 1 [/SUP], Jaymie Meliker[SUP] 1 [/SUP], Melissa Carr[SUP] 2 [/SUP], Bruno R Valenti[SUP] 2 [/SUP], Ashley Fontana[SUP] 2 [/SUP], Onix A Melendez[SUP] 2 [/SUP], Olga Morozova[SUP] 5 [/SUP], Benjamin J Luft[SUP] 2 6 [/SUP]
Affiliations
- PMID: 39866362
- PMCID: PMC11764319
- DOI: 10.1016/j.lana.2024.100984
Background: After surviving Coronavirus Disease 2019 (COVID-19), some people develop symptoms known as post-acute sequelae of COVID-19 (PASC). PASC is an emerging phenomenon yet to be fully understood, and identifying risk factors has been challenging. This study investigated the association between the number of COVID-19 episodes and the incidence of PASC among essential workers.
Methods: We analyzed data from 2511 essential workers, mainly first responders, with confirmed polymerase chain reaction, antibody, or antigen-positive test results for SARS-CoV-2 infection from March 2020 to February 2024. Data were collected through in-person questionnaires and surveys sent via text and email, internal medical records, follow-up calls, and external medical records. Participants who reported continuation or the development of new symptoms three months after the initial SARS-CoV-2 infection, with symptoms lasting for at least two months, were categorized as having PASC, while those without any COVID-19 or whose symptoms resolved were classified as non-PASC. PASC was common in this cohort so we used a Poisson regression model to compute multivariable-adjusted Relative Risk (RR) for the association between risk of PASC and SARS-CoV-2 re-infection, severity, and vaccination status at first infection.
Findings: A total of 475 (prevalence = 18.9%, [95% confidence interval] = [17.4-20.5]) PASC patients were identified. The mean (standard deviation (SD)) age of participants who experienced PASC (54.8 (7.2) years) was similar to those who did not (54.2 (7.4) years). There were 403 (16.1% [14.6-17.5]) participants who experienced multiple instances of COVID-19. After adjusting for relevant demographic, lifestyle, and clinical variables, we found a significant association between the risk of experiencing PASC and multiple SARS-COV-2 infections (RR = 1.41 [1.14-1.74]), severe COVID-19 (RR = 3.17 [2.41-4.16]), and being unvaccinated at first infection (RR = 3.29 [2.46-4.41]).
Interpretation: Although the pathogenetic mechanism for PASC remains unclear, identifying risk factors such as lack of vaccination or re-infection can assist in better understanding and managing the condition.
Funding: National Institute on Aging (NIH/NIA R01 AG049953) and Centers for Disease Control and Prevention (CDC/NIOSH U01 OH011864) and (CDC/NIOSH U01 OH012275).
Keywords: COVID-19; Post-COVID-19; Reinfection; SARS-COV-2; Severity; Vaccination.