Prevalence of post-acute COVID-19 syndrome symptoms at different follow-up periods: a systematic review and meta-analysis.

Clin Microbiol Infect

College of Medicine, Alfaisal University, Riyadh, Saudi Arabia; Infectious Diseases Section, Department of Medical Specialties King Fahad Medical City, Riyadh, Saudi Arabia; Division of Infectious Diseases, Mayo Clinic College of Medicine and Science, Rochester, MN, USA; Department of Epidemiology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA. Electronic address:

Published: May 2022

AI Article Synopsis

  • Post-acute COVID-19 syndrome is a complex systemic disease linked to substantial health issues, with a focus on evaluating ongoing symptoms 12 weeks post-infection.
  • The study reviewed 63 articles from a pool of over 3,200, encompassing data from 257,348 COVID-19 patients, to analyze symptom prevalence at various follow-up intervals.
  • Common persistent symptoms included fatigue, dyspnea, and sleep disorders, with notable differences in prevalence rates observed at different follow-up periods, indicating significant variability between studies.

Article Abstract

Background: Post-acute coronavirus 2019 (COVID-19) syndrome is now recognized as a complex systemic disease that is associated with substantial morbidity.

Objectives: To estimate the prevalence of persistent symptoms and signs at least 12 weeks after acute COVID-19 at different follow-up periods.

Data Sources: Searches were conducted up to October 2021 in Ovid Embase, Ovid Medline, and PubMed.

Study Eligibility Criteria, Participants And Interventions: Articles in English that reported the prevalence of persistent symptoms among individuals with confirmed severe acute respiratory syndrome coronavirus 2 infection and included at least 50 patients with a follow-up of at least 12 weeks after acute illness.

Methods: Random-effect meta-analysis was performed to produce a pooled prevalence for each symptom at four different follow-up time intervals. Between-study heterogeneity was evaluated using the I2 statistic and was explored via meta-regression, considering several a priori study-level variables. Risk of bias was assessed using the Joanna Briggs Institute tool and the Newcastle-Ottawa Scale for prevalence studies and comparative studies, respectively.

Results: After screening 3209 studies, a total of 63 studies were eligible, with a total COVID-19 population of 257 348. The most commonly reported symptoms were fatigue, dyspnea, sleep disorder, and difficulty concentrating (32%, 25%, 24%, and 22%, respectively, at 3- to <6-month follow-up); effort intolerance, fatigue, sleep disorder, and dyspnea (45%, 36%, 29%, and 25%, respectively, at 6- to <9-month follow-up); fatigue (37%) and dyspnea (21%) at 9 to <12 months; and fatigue, dyspnea, sleep disorder, and myalgia (41%, 31%, 30%, and 22%, respectively, at >12-month follow-up). There was substantial between-study heterogeneity for all reported symptom prevalences. Meta-regressions identified statistically significant effect modifiers: world region, male sex, diabetes mellitus, disease severity, and overall study quality score. Five of six studies including a comparator group consisting of COVID-19-negative cases observed significant adjusted associations between COVID-19 and several long-term symptoms.

Conclusions: This systematic review found that a large proportion of patients experience post-acute COVID-19 syndrome 3 to 12 months after recovery from the acute phase of COVID-19. However, available studies of post-acute COVID-19 syndrome are highly heterogeneous. Future studies need to have appropriate comparator groups, standardized symptom definitions and measurements, and longer follow-up.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812092PMC
http://dx.doi.org/10.1016/j.cmi.2022.01.014DOI Listing

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