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PLoS One ; 18(6): e0286853, 2023.
Article in English | MEDLINE | ID: covidwho-20234394

ABSTRACT

Oral and maxillofacial surgeons are among the frontline healthcare workers and are classified as a high-risk group for COVID-19 infection; however, it has not yet been defined how these professionals were impacted. The aim of this study was to explore the conducts and perceptions of oral and maxillofacial surgeons during the COVID-19 pandemic in Brazil. Nine individuals, mean age 34.8 years, 66.6% men, were included in the study. A semi-structured interview with a qualitative approach was applied to professionals belonging to a messaging application group (WhatsApp). Content analysis was performed in the light of Hellerian theory in its daily theoretical framework for the interpretation of the memories reported by the participants. Four themes were identified. The lack of knowledge about COVID-19 and the fear of being contaminated during care were the main factors responsible for changes in the professionals' work routine. An important point was the collective reflection of the participants about the increase in biosafety barriers, which ensured a greater sense of security. The need for social isolation to contain the virus was also described. As a result, there was a great distance between professionals and their families, which generated high levels of anxiety in the former. Repetitive reports of slowness and reduced attendance directly related to financial loss and aggravated stress were also highlighted. The findings of this study reveal that oral and maxillofacial surgeons had their professional-personal axis affected in terms of daily habits, family life and financial strain, aspects that were responsible for impacting stress and anxiety levels.


Subject(s)
COVID-19 , Male , Humans , Adult , Female , COVID-19/epidemiology , Pandemics , Oral and Maxillofacial Surgeons , Health Personnel , Anxiety/epidemiology , Qualitative Research
3.
Viruses ; 12(11)2020 11 09.
Article in English | MEDLINE | ID: covidwho-918256

ABSTRACT

BACKGROUND: COVID-19 pathophysiology and the predictive factors involved are not fully understood, but lymphocytes dysregulation appears to play a role. This paper aims to evaluate lymphocyte subsets in the pathophysiology of COVID-19 and as predictive factors for severe disease. PATIENT AND METHODS: A prospective cohort study of patients with SARS-CoV-2 bilateral pneumonia recruited at hospital admission. Demographics, medical history, and data regarding SARS-CoV-2 infection were recorded. Patients systematically underwent complete laboratory tests, including parameters related to COVID-19 as well as lymphocyte subsets study at the time of admission. Severe disease criteria were established at admission, and patients were classified on remote follow-up according to disease evolution. Linear regression models were used to assess associations with disease evolution, and Receiver Operating Characteristic (ROC) and the corresponding Area Under the Curve (AUC) were used to evaluate predictive values. RESULTS: Patients with critical COVID-19 showed a decrease in CD3+CD4+ T cells count compared to non-critical (278 (485 IQR) vs. 545 (322 IQR)), a decrease in median CD4+/CD8+ ratio (1.7, (1.7 IQR) vs. 3.1 (2.4 IQR)), and a decrease in median CD4+MFI (21,820 (4491 IQR) vs. 26,259 (3256 IQR)), which persisted after adjustment. CD3+CD8+ T cells count had a high correlation with time to hospital discharge (PC = -0.700 (-0.931, -0.066)). ROC curves for predictive value showed lymphocyte subsets achieving the best performances, specifically CD3+CD4+ T cells (AUC = 0.756), CD4+/CD8+ ratio (AUC = 0.767), and CD4+MFI (AUC = 0.848). CONCLUSIONS: A predictive value and treatment considerations for lymphocyte subsets are suggested, especially for CD3CD4+ T cells. Lymphocyte subsets determination at hospital admission is recommended.


Subject(s)
CD4-Positive T-Lymphocytes/pathology , CD8-Positive T-Lymphocytes/pathology , COVID-19/diagnosis , Lymphocyte Subsets/pathology , SARS-CoV-2/pathogenicity , Aged , Area Under Curve , Biomarkers/analysis , CD4-CD8 Ratio/statistics & numerical data , CD4-Positive T-Lymphocytes/immunology , CD4-Positive T-Lymphocytes/virology , CD8-Positive T-Lymphocytes/immunology , CD8-Positive T-Lymphocytes/virology , COVID-19/immunology , COVID-19/pathology , COVID-19/virology , Disease Progression , Female , Humans , Lung , Lymphocyte Count , Lymphocyte Subsets/immunology , Lymphocyte Subsets/virology , Male , Middle Aged , Patient Discharge/statistics & numerical data , Prognosis , Prospective Studies , ROC Curve , SARS-CoV-2/immunology , Severity of Illness Index
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