The objective of the present study is to reveal the acceptance and preference for the 2019 novel coronavirus disease vaccination in health-care workers (HCWs). We performed an internet-based, region-stratified survey among 352 HCWs and 189 individuals in the general population enrolled on March 17 th and 18 th 2020 from 26 Chinese provinces.The HCWs developed a more in-depth understanding of SARS-Coronavirus-2 infection and showed a higher tolerance to the future vaccination than the general population. 76.4% of HCWs (vs. 72.5% in the general) showed their willingness to receive vaccination. Potential benefits from COVID-19 outbreak such as seeking influenza (65.3%) or pneumonia (55.7%) vaccination can be gained in HCWs. To estimate the relative effects of attributes influencing vaccination choice in the discrete choice experiment, 7 attributes (3 disease-relevant, 3 vaccine-relevant, and 1 of social acceptance) were identified as key determinants. Among them, disease trend (odds ratio, OR: 4.367 (95%CI, 3.721-5.126) for seasonal epidemic, OR: 3.069 (2.612-3.605) for persistent epidemic, with reference to disappearance in summer), social contacts' decisions (0.398: 0.339-0.467 for refusal, 0.414: 0.353-0.487 for neutral, with reference to acceptance) and high possibility of being infected (2.076: 1.776-2.425 for infection probability of 30%+ ) were significantly associated with increased probability of choosing vaccination in the HCWs. In contrast, for the general population, vaccine safety and social contacts' decisions were the most important predictors. For COVID-19vaccination, education in HCWs should be taken as a priority, and further benefits of its recommendation to the general public will also be anticipated.
BackgroundCancer-related systemic inflammation has been demonstrated to be associated with poor outcome in multiple types of cancers. Meanwhile, the local inflammation, which is characterized by dense intratumoral immune infiltrate, is a favorable predictor of survival outcome.PurposeTo evaluate the role of systemic and local inflammation in predicting outcome in patients with laryngeal squamous cell carcinoma.Patients and methodsIn this retrospective study, 120 patients who had undergone postoperative radiotherapy were enrolled. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), as calculated from pretreatment whole blood counts, were used to indicate systemic inflammation. The optimal cutoff values of NLR and PLR were determined using receiver operating characteristic curve analysis. Tumor infiltrating lymphocytes (TILs) density, as assessed by pathologist review of hematoxylin and eosin-stained slides, was used to represent local inflammation. Overall survival (OS) and recurrence-free survival (RFS) were assessed using the Kaplan–Meier method and multivariate Cox regression analysis.ResultsThe best cutoff was 2.79 for NLR and 112 for PLR. Kaplan–Meier analysis revealed that high NLR, high PLR, and low TILs density were significantly correlated with inferior OS and RFS, respectively (all P<0.05). The Cox proportional multivariate hazard model showed that a high pretreatment PLR and a low TILs density were both independently correlated with poor OS and RFS, respectively (all P<0.05).ConclusionMarkers of systemic and local inflammation, especially PLR and TILs density, are reliable prognostic factors in patients with laryngeal squamous cell carcinoma.
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