Abstract: This study aims to set up a system to evaluate nursing competencies in disaster preparedness for undergraduates and influencing factors in China. The evaluation system was established by using the modified Delphi. There were 3 phases in this study: 1) an environmental scan; 2) setting framework; 3) adjusting indicators based on the modified Delphi. The questionnaire for these undergraduates lied in their basic information and assessment of nursing competencies in disaster preparedness. Based on the survey, the average score of nursing competencies in disaster preparedness for undergraduate nursing students surveyed was 3.10 (out of 5). In addition, gender, grade, inhabitation, and disaster drills of the students were four factors affecting nursing competencies of undergraduates. This study indicates that the present nursing competencies in disaster preparedness for undergraduates are weak, and it is essential to strengthen nursing education in disaster preparedness for undergraduates.
Targeting multiple signaling pathways is a potential novel therapeutic strategy for the treatment of leukemias. Leukemia cells express high levels of sphingosine kinase 1 (Sphk1) and sirtuin 1 (SIRT1). However, to the best of our knowledge, their interaction and potential synergistic inhibitory effects on the growth and survival of leukemia cells have not been investigated. The present study revealed the role of the Sphk1/S1P/SIRT1 axis in K562, KCL22 and TF1 cells and hypothesized that the inhibition of Sphk1 and SIRT1 had synergistic effects on the growth and survival of leukemia cells. Cell viability was tested using a Cell Counting Kit‑8 assay and cell colony forming assay. Cell apoptosis was detected using Annexin V‑APC/PI staining. The stages of the cell cycle were measured using PI staining. Protein levels were measured by western blotting. Treatment of leukemia cells with S1P resulted in the upregulation of SIRT1 expression, whereas inhibition of Sphk1 induced SIRT1 downregulation in leukemia cells. Both SKI‑II and EX527 actively suppressed growth, blocked cell cycle progression and induced apoptosis of leukemia cells. Furthermore, inhibition of Sphk1 and SIRT1 exhibited suppressive effects on the growth and survival of leukemia cells. Notably, the inhibition of Sphk1 and SIRT1 suppressed cell growth and induced apoptosis of T‑315I mutation‑harboring cells. Additionally, treatment with SKI‑II and EX527 suppressed the ERK and STAT5 pathways in leukemia cells. These data indicated that targeting the Sphk1/S1P/SIRT1 axis may be a novel therapeutic strategy for the treatment of leukemia.
Background: Graft-versus-host disease (GVHD) is a fatal complication of hematopoietic stem cell transplantation and is an enormous burden on the patient economy and related health systems. Nevertheless, only a few bibliometric studies have examined the direction of research and the major findings within the field. Methods: Statistical and visualization bibliometric analysis was performed in April 2021. Our research data were retrieved from the Web of Science using an advanced search strategy. We then used bibliometric analysis to determine the current general research direction and trend of publications and established the most prolific and distinguished authors, institutions, countries, funding agencies, and keywords in GVHD research. We employed VOSviewer (Leiden University, Leiden, Netherlands), Microsoft Excel (Microsoft, Redmond, State of Washington), and GunnMap (https://lert.co.nz/map/) to retrieve, integrate, and visualize the results. Results: Overall, 15,378 publications from 500 journals were extracted from the Institute for Scientific Information (ISI) Web of Science Core Collection database based on our analysis, of which the United States and the Fred Hutchinson Cancer Research Center were the most prolific countries and institutions, respectively. Moreover, we identified future research trends and the current status of GVHD research based on the top 10 most cited articles. Finally, influential authors’ analysis demonstrated that Blazar, BR were both the most productive and most cited among all authors. Conclusion: Our study provides an exhaustive and objective overview of the current status of GVHD research. This information would be highly beneficial to anyone seeking information on GVHD and would serve as a reference guide for researchers aiming to conduct further GVHD research.
To carry out the translation and cultural adaptation of the attitude towards pressure ulcer prevention instrument for use in Chinese and to analyse the validity and reliability of the adapted version of the questionnaire. In this quantitative, descriptive, cross-sectional study, after translation of the questionnaire from English to Chinese, back-translation, and assessment of equivalence between the original and back-translated version by an expert panel, the Chinese version instrument was assessed by a convenience sample of registered nurses in several hospitals in cities of China. The internal consistency and content validity of the instrument was tested, and a confirmatory factor analysis was also performed. Confirmatory factor analysis showed that the goodness of fit of the five-factor model after the scale localization was not ideal. Therefore, confirmatory factor analysis is performed to obtain the three-factor solution of comparative fit index, goodness-of-fit index, and adjusted goodness-of-fit index reaching the acceptable standard. The instrument score of nurses with wound care certification was significantly higher than that of nurses without wound care special certification. The adapted version of the instrument for Chinese nurses can be used as a tool to measure attitudes towards pressure injury prevention.
Objective: To evaluate the effectiveness of topical application of basic fibroblast growth factor (bFGF) on pressure ulcers (PUs). Method: Relevant randomised controlled trials (RCTs) published from database creation to July 2018 were systematically searched. Pooled risk ratios (RR) with 95% confidence intervals (95% CI) were calculated to assess mean healing time in days as a measure of treatment efficacy. Standardised mean differences (SMD) with 95%CI were calculated to assess the proportion of complete healing. Funnel plots and Egger's regression tests were used to assess publication bias. Results: In total, 12 RCTs encompassing 664 PUs were included. The pooled effect size demonstrated a significant difference in complete healing proportions between the control groups and subjects treated with bFGF (RR=1.61 (1.40–1.85); p<0.001) and mean healing time (SMD=–1.97 (–2.54– –1.40); p<0.001). There was no indication of significant publication bias in the primary analysis. Sensitivity analysis demonstrated that the results of the meta−analysis were reliable. Conclusion: In this review, topical application of recombinant bFGF was found to be effective in the treatment of PUs. Given the limitations of the reports included, additional RCTs of higher power are warranted to confirm our findings.
The paper reviewed the related factors influencing dysmenorrhea among clinical nursing staff, including genetic factors, age and marriage status, living habits, occupation characteristics and inner tension and pressure, and summarized how the nursing staff take corresponding self- care behaviors to relieve pain from dysmenorrhea.
Key words:
Dysmenorrhea; Nursing staff; Related factor; Self-care behavior
It is known that optimization in a changing environment is a challenging task, for which the basic goal is not only to obtain the optimal solution, but also strongly adapting to the environmental changes and tracking the optimal solution as closely as possible.In this paper, a novel multi-swarm optimization algorithm is proposed for solving dynamic optimization problems (DOPs) effectively, which is based on the hybrid of particle swarm optimization (PSO) and Simulated Annealing (SA) with an prediction strategy.Firstly, an multi-swarm strategy is adopted, which simultaneously employs PSO method to conduct global search for exploring promising optimal solutions and adopt SA to conduct local search.Secondly, a new forecasting model is developed by using the principle that the previous optimum locations can predict the optimum's location in the changing environment, which can improve the performance of the algorithm in dynamic environment.Then, a diversity preservation mechanism is incorporated into our method to obtain more robust results.Experiments are conducted on the set of benchmark functions used in CEC 2009 competition for DOPs, and the results show that the proposed algorithm achieves good performance and outperforms others in solving DOPs with the model changed by following some pattern.
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