Vaccine hesitancy among healthcare professionals and the general population: Second important step in the fight against COVID-19.

INTRODUCTION: This study aims at finding valuable information for predicting vaccination intentions against COVID-19 to guide future interventions to address hesitation. METHODOLOGY: This observational study consists of 1010 volunteer health workers from the state hospitals in Bursa, and 1111 volunteers from the non-healthcare group, unvaccinated against COVID-19. In the study, the participants were asked about their sociodemographic information and reasons for refusing the COVID-19 vaccine by face-to-face interview. RESULTS: We classified the unvaccinated healthcare worker group as group 1, and the unvaccinated non-health workers group as group 2. Between groups 1 and 2, vaccination refusal, education level, income level, and pregnancy status were statistically significant (p < 0.001). The groups differed in the reasons for vaccine refusal and recommending vaccination to the relatives of those who refused vaccination (p < 0.001). CONCLUSIONS: Healthcare workers have priority among high-risk groups considered candidates for early vaccination. Therefore, it is important to consider health professionals' attitudes towards COVID-19 vaccination to better address barriers to widespread vaccination. The role of healthcare professionals is also important, as it encourages the entire community to be vaccinated with role-modeling behavior and advises patients and communities.

Can ferritin/lymphocyte percentage ratio, a new indicator, predict the clinical course of COVID-19 cases?

OBJECTIVES: COVID-19 maintains its seriousness as a global emergency with its rapid distribution worldwide. Ferritin / lymphocyte percentage ratio (FLPR) may appear as a prognostic value at the initial evaluation stage and thus can be used as a simple, effective, and reliable parameter in critical patient identification with COVID-19. METHODS: In this retrospective cohort study, we evaluated patients over 18 years old, who were hospitalized after being evaluated as COVID-19 and whose PCR results were positive. We calculated FLPRs from complete blood counts taken during emergency department admissions and classified disease severity due to emergency initial evaluation. The relationship between the severity of the thoracic tomography findings, hospitalization, and intensive care needs, and 28-day mortality with the FLPR were evaluated. RESULTS: The difference between the groups classified according to COVID-19 severity and the FLPR means was statistically significant (x2=148.284; SD=3; p=0.000). FLPR levels were found to be high in critical and serious groups. In the ROC analysis for the FLPR level, the area under the curve (AUC) value was found to be 0.909 (95% CI 0.857-0.961). When the cut off value of FLPR was 9.80, the sensitivity was found to be 97.6 %, and the specificity was 65.2 %, whereas, when the cut off value for FLPR was found to be 21.11, the sensitivity was 82.9 % and the specificity was 82.8 %. CONCLUSION: The FLPR, a new parameter, can be used as a significant marker to predict the 28-day mortality in patients (Tab. 5, Fig. 1, Ref. 25).

The role of emergency department triage early warning score (TREWS) and modified early warning score (MEWS) to predict in-hospital mortality in COVID-19 patients.

BACKGROUND: It is necessary to identify critical patients requiring hospitalization early due to the rapid increase in the number of COVID-19 cases. AIM: This study aims to evaluate the effectiveness of scoring systems such as emergency department triage early warning score (TREWS) and modified early warning score (MEWS) in predicting mortality in COVID-19 patients. METHODS: In this retrospective cohort study, PCR positive patients evaluated for COVID-19 and decided to be hospitalized were evaluated. During the first evaluation, MEWS and TREWS scores of the patients were calculated. Intensive care needs as well as 24-h and 28-day mortality rates were evaluated. RESULTS: A total of 339 patients were included in the study. While 30 (8.8%) patients were hospitalized in the intensive care unit, 4 (1.2%) died in the emergency. The number of patients who died within 28 days was found to be 57 (16.8%). In 24-h mortality, the median MEWS value was found to be 7 (IQR 25-75) while the TREWS value was 11.5 (IQR 25-75). In the ROC analysis made for the diagnostic value of 28-day mortality of MEWS and TREWS scores, the area under the curve (AUC) for the MEWS score was found to be 0.833 (95% CI 0.777-0.888, p < 0.001) while it was identified as 0.823 (95% CI 0.764-0.882, p < 0.001) for the TREWS. CONCLUSION: MEWS and TREWS calculated at emergency services are effective in predicting 28-day mortality in patients requiring hospitalization due to COVID-19.