tetano
Editor, Senior Moderator
Public Health
. 2021 Feb 12;193:113-115.
doi: 10.1016/j.puhe.2021.01.021. Online ahead of print.
Predictors of severe symptomatic laboratory-confirmed SARS-CoV-2 reinfection
E Murillo-Zamora[SUP] 1 [/SUP], O Mendoza-Cano[SUP] 2 [/SUP], I Delgado-Enciso[SUP] 3 [/SUP], C M Hernandez-Suarez[SUP] 4 [/SUP]
Affiliations
Abstract
Objective: The aim of the study was to evaluate factors predicting severe symptomatic laboratory-confirmed (via Reverse transcription polymerase chain reaction, RT-PCR polymerase chain reaction) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfection.
Study design: This is a nationwide retrospective cohort study that was conducted in Mexico.
Methods: Data from 258 reinfection cases (at least 28 days between both episodes onset) were analyzed. We used risk ratios (RRs) and 95% confidence intervals (CIs) to evaluate predictors of severe (dyspnea requiring hospital admission) secondary SARS-CoV-2 infection.
Results: The risk of severe disease was 14.7%, and the observed overall fatality rate was 4.3%. Patients with more serious primary disease were more likely to develop severe symptoms (39.5% vs. 5.5%, P < 0.001) during reinfection. In multiple analysis, factors associated with an increased risk of severe symptomatic SARS-CoV-2 reinfection were increasing age (RR[SUB]per year[/SUB] = 1.007, 95% CI = 1.003-1.010), comorbidities (namely, obesity [RR = 1.12, 95% CI = 1.01-1.24], asthma [RR = 1.26, 95% CI = 1.06-1.50], type 2 diabetes mellitus [RR = 1.22, 95% CI = 1.07-1.38]), and previous severe laboratory-confirmed coronavirus disease 2019 (RR = 1.20, 95% CI = 1.03-1.39).
Conclusions: To the best of our knowledge, this is the first study evaluating disease outcomes in a large set of laboratory-positive cases of symptomatic SARS-CoV-2 reinfection, and factors associated with illness severity were characterized. Our results may contribute to the current knowledge of SARS-CoV-2 pathogenicity and to identify populations at increased risk of a poorer outcome after reinfection.
Keywords: COVID-19; Cohort studies; Prognosis; Reverse transcription polymerase chain reaction; Severe acute respiratory syndrome coronavirus 2.
. 2021 Feb 12;193:113-115.
doi: 10.1016/j.puhe.2021.01.021. Online ahead of print.
Predictors of severe symptomatic laboratory-confirmed SARS-CoV-2 reinfection
E Murillo-Zamora[SUP] 1 [/SUP], O Mendoza-Cano[SUP] 2 [/SUP], I Delgado-Enciso[SUP] 3 [/SUP], C M Hernandez-Suarez[SUP] 4 [/SUP]
Affiliations
- PMID: 33774512
- DOI: 10.1016/j.puhe.2021.01.021
Abstract
Objective: The aim of the study was to evaluate factors predicting severe symptomatic laboratory-confirmed (via Reverse transcription polymerase chain reaction, RT-PCR polymerase chain reaction) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfection.
Study design: This is a nationwide retrospective cohort study that was conducted in Mexico.
Methods: Data from 258 reinfection cases (at least 28 days between both episodes onset) were analyzed. We used risk ratios (RRs) and 95% confidence intervals (CIs) to evaluate predictors of severe (dyspnea requiring hospital admission) secondary SARS-CoV-2 infection.
Results: The risk of severe disease was 14.7%, and the observed overall fatality rate was 4.3%. Patients with more serious primary disease were more likely to develop severe symptoms (39.5% vs. 5.5%, P < 0.001) during reinfection. In multiple analysis, factors associated with an increased risk of severe symptomatic SARS-CoV-2 reinfection were increasing age (RR[SUB]per year[/SUB] = 1.007, 95% CI = 1.003-1.010), comorbidities (namely, obesity [RR = 1.12, 95% CI = 1.01-1.24], asthma [RR = 1.26, 95% CI = 1.06-1.50], type 2 diabetes mellitus [RR = 1.22, 95% CI = 1.07-1.38]), and previous severe laboratory-confirmed coronavirus disease 2019 (RR = 1.20, 95% CI = 1.03-1.39).
Conclusions: To the best of our knowledge, this is the first study evaluating disease outcomes in a large set of laboratory-positive cases of symptomatic SARS-CoV-2 reinfection, and factors associated with illness severity were characterized. Our results may contribute to the current knowledge of SARS-CoV-2 pathogenicity and to identify populations at increased risk of a poorer outcome after reinfection.
Keywords: COVID-19; Cohort studies; Prognosis; Reverse transcription polymerase chain reaction; Severe acute respiratory syndrome coronavirus 2.
