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Background Eosinophils are pro-inflammatory cells involved in thrombosis and have been proposed as a prognosis marker in acute ischemic stroke and ST-elevation myocardial Infarction. Here, we sought to clarify the prognostic value of eosinophil percentage (EOS%) in patients with acute type A aortic dissection (AAAD). Methods We examined 183 consecutive AAAD patients. Based on the optimum cut-off value of EOS% determined by X-tile software, patients were classified into the low EOS% (EOS% ≤ 0.1) and high EOS% groups (EOS% > 0.1). We performed multivariate regression analysis and Kaplan–Meier (KM) survival curves to assess the association between EOS% and mortality. Eosinophil accumulation in aortic dissection intraluminal thrombus was confirmed using hematoxylin–eosin (H&E) staining. An external cohort from Medical Information Mart for Intensive Care IV was performed to validate the results. Results Relative to surviving patients, those who died during hospitalization had significantly lower EOS% (p = 0.001) but significantly higher WBC (p = 0.002) and neutrophil (p = 0.001) counts. Multivariate regression analysis identified EOS% as an independent predictor of in-hospital and 1-year mortality. KM curves revealed that 1-year cumulative mortality was significantly higher in the low EOS% group, although it was mainly attributed to the higher 30-day mortality. H&E staining revealed massive infiltration of eosinophils in all 20 thrombus specimens. The external validation confirmed that relative to survivors, patients with in-hospital mortality (p = 0.010) had significantly lower EOS%. Moreover, multivariate regression analyses identified that decreased EOS% was independently significantly associated with in-hospital mortality. Conclusions Low EOS% is significantly related to increased mortality rates in AAAD patients.

Background Thoracic acute aortic dissection (TAAD), one of the most fatal cardiovascular diseases, leads to sudden death, however, its mechanism remains unclear. Methods Three Gene Expression Omnibus datasets were employed to detect differentially expressed genes (DEGs). A similar function and co-expression network was identified by weighted gene co-expression network analysis. The least absolute shrinkage and selection operator, random forest, and support vector machines-recursive feature elimination were utilized to filter diagnostic TAAD markers, and then screened markers were validated by quantitative real-time PCR and another independent dataset. CIBERSORT was deployed to analyze and evaluate immune cell infiltration in TAAD tissues. Results Twenty-five DEGs were identified and narrowed down to three after screening. Finally, two genes, SLC11A1 and FGL2, were verified by another dataset and qRT-PCR. Function analysis revealed that SLC11A1 and FGL2 play significant roles in immune-inflammatory responses. Conclusion SLC11A1 and FGL2 are differently expressed in aortic dissection and may be involved in immune-inflammatory responses.

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Purpose To investigate the current situation of assistive device (AD) usage among seniors in Tibet, China, and explore its influencing factors. Methods A mixed-methods design was used. Cognition, attitude, behavior, and preference toward ADs were assessed by a self-designed questionnaire. Additionally, participants responded to the open-ended questions. Anderson’s behavior model analyzed the impacts of the prerequisite factors, enabling factors, and demand factors influencing the utilization of ADs by Tibetan seniors. Results Of the 211 Tibetan seniors, 149 (70.6%) Tibetan seniors expressed the willingness to utilize ADs. Binary Logistic regression analysis showed that one prerequisite factor: age; one enabling factor: care situation, and one demand factor: dysfunctional condition were factors influencing the utilization of ADs. Qualitative comments described: psychological, physical environment, and social support factors were the main influencing factors. Conclusion This study presents the current situation to utilize ADs by Tibetan seniors on the Qinghai-Tibet Plateau, incorporates Anderson’s behavioral model for quantitative analysis, and combines qualitative research to explore the facilitating and hindering factors, to provide reference and basis for the development of ADs for seniors and policy formulation. The sample size of this study is relatively small and limited to ethnic groups, and we plan to increase the sample size and include more ethnic groups in the future study.