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1.
Vaccine ; 39(44): 6454-6459, 2021 10 22.
Article in English | MEDLINE | ID: covidwho-1433884

ABSTRACT

OBJECTIVES: To identify potential predictors of COVID-19 vaccine hesitancy (C19-VH) in adults with immune-mediated inflammatory diseases (IMID). METHODS: A total of 1000 IMID patients were enrolled in this web-based cross-sectional study. A standardised and self-administered survey was designed by members of the Brazilian Society of Rheumatology Steering Committee for Infectious and Endemic diseases and distributed to IMID patients spread across Brazil. RESULTS: Of the 908 (90.8%) respondents eligible for analysis, 744 (81.9%) were willing to get vaccinated against COVID-19. In our multivariable logistic regression model, concurrent malignancy, fibromyalgia, hydroxychloroquine use, and recent corticosteroid pulse therapy were independently associated with higher odds of C19-VH. The short duration of COVID-19 vaccine clinical trials was the main reason for C19-VH. CONCLUSION: We identified novel characteristics potentially associated with C19-VH among adults with IMID. Greater awareness on the safety and efficacy of COVID-19 vaccines is needed for both IMID patients and attending physicians.


Subject(s)
COVID-19 Vaccines , COVID-19 , Adult , Cross-Sectional Studies , Humans , SARS-CoV-2 , Surveys and Questionnaires
2.
PLoS One ; 16(6): e0253894, 2021.
Article in English | MEDLINE | ID: covidwho-1286873

ABSTRACT

OBJECTIVE: To describe the laboratory parameters and biomarkers of the cytokine storm syndrome associated with severe and fatal COVID-19 cases. METHODS: A search with standardized descriptors and synonyms was performed on November 28th, 2020 of the MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, ClinicalTrials.gov, LILACS, and IBECS to identify studies of interest. Grey literature searches and snowballing techniques were additionally utilized to identify yet-unpublished works and related citations. Two review authors independently screened the retrieved titles and abstracts, selected eligible studies for inclusion, extracted data from the included studies, and then assessed the risk of bias using the Newcastle-Ottawa Scale. Eligible studies were those including laboratory parameters-including serum interleukin-6 levels-from mild, moderate, or severe COVID-19 cases. Laboratory parameters, such as interleukin-6, ferritin, hematology, C-Reactive Protein, procalcitonin, lactate dehydrogenase, aspartate aminotransferase, creatinine, and D-dimer, were extracted from the studies. Meta-analyses were conducted using the laboratory data to estimate mean differences with associated 95% confidence intervals. DATA SYNTHESIS: The database search yielded 9,620 records; 40 studies (containing a total of 9,542 patients) were included in the final analysis. Twenty-one studies (n = 4,313) assessed laboratory data related to severe COVID-19 cases, eighteen studies (n = 4,681) assessed predictors for fatal COVID-19 cases and one study (n = 548) assessed laboratory biomarkers related to severe and fatal COVID-19 cases. Lymphopenia, thrombocytopenia, and elevated levels of interleukin-6, ferritin, D-dimer, aspartate aminotransferase, C-Reactive-Protein, procalcitonin, creatinine, neutrophils and leucocytes were associated with severe and fatal COVID-19 cases. CONCLUSIONS: This review points to interleukin-6, ferritin, leukocytes, neutrophils, lymphocytes, platelets, C-Reactive Protein, procalcitonin, lactate dehydrogenase, aspartate aminotransferase, creatinine, and D-dimer as important biomarkers of cytokine storm syndrome. Elevated levels of interleukin-6 and hyperferritinemia should be considered as red flags of systemic inflammation and poor prognosis in COVID-19.


Subject(s)
Biomarkers/blood , COVID-19/pathology , Cytokine Release Syndrome/diagnosis , C-Reactive Protein/analysis , COVID-19/complications , COVID-19/mortality , COVID-19/virology , Cytokine Release Syndrome/etiology , Ferritins/blood , Humans , Interleukin-6/blood , Leukocytes/cytology , Leukocytes/metabolism , SARS-CoV-2/isolation & purification , Severity of Illness Index
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