Publications by authors named "A Ver"
Objective: The long-lasting persistence of autoantibodies stands as one of the hypotheses explaining the multisystemic manifestations seen in individuals with post-COVID-19 condition. The current review offers restricted insights into the persistence of autoantibodies in plasma/serum in people with post-COVID symptoms.
Methods: PubMed/MEDLINE, CINAHL, EMBASE, and Web of Science databases, as well as on medRxiv and bioRxiv preprint servers were searched up to January 5, 2024.
Article Synopsis
- The study examines the hypothesis that viral persistence of SARS-CoV-2 RNA may explain post-COVID symptoms by analyzing various bodily samples from patients experiencing these symptoms.
- A systematic review of literature yielded six relevant studies out of 322 identified, involving 678 COVID-19 survivors, with mixed methodological quality across the studies.
- Preliminary findings suggest SARS-CoV-2 RNA might persist in patients with post-COVID symptoms shortly after infection; however, biases and lack of a control group restrict the ability to draw definitive conclusions about this persistence.
Objective: This meta-analysis investigated the prevalence of post-COVID symptoms two-years after SARS-CoV-2 infection.
Methods: Electronic literature searches on PubMed, MEDLINE, CINAHL, EMBASE, Web of Science databases, and on medRxiv/bioRxiv preprint servers were conducted up to October 1, 2023. Studies reporting data on post-COVID symptoms at two-years after infection were included.
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19), has infected over 600 million individuals and caused nearly 7 million deaths worldwide (10 January 2023). Patients with renal disease undergoing hemodialysis are among those most adversely affected, with an increased predisposition to SARS-CoV-2 infection and death. This systematic review aimed to pool evidence assessing the humoral response of hemodialysis patients (HDP) post-mRNA SARS-CoV-2 vaccination.
View Article and Find Full Text PDFAge, Sex and Previous Comorbidities as Risk Factors Not Associated with SARS-CoV-2 Infection for Long COVID-19: A Systematic Review and Meta-Analysis.
J Clin Med
December 2022
Identification of predictors of long COVID-19 is essential for managing healthcare plans of patients. This systematic literature review and meta-analysis aimed to identify risk factors not associated with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, but rather potentially predictive of the development of long COVID-19. MEDLINE, CINAHL, PubMed, EMBASE, and Web of Science databases, as well as medRxiv and bioRxiv preprint servers were screened through 15 September 2022.
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