Objective:To screen for preoperative frailty risk factors in elderly patients with spinal degenerative diseases and construct a risk prediction model.Methods:From September 2021 to August 2022, convenience sampling was used to select 324 elderly patients who underwent spinal surgery in the Department of Neurosurgery at Xuanwu Hospital, Capital Medical University as research subjects. The patients were surveyed using the General Information Questionnaire, Barthel Index, Nutritional Risk Screening 2002, Mini-mental State Examination, Geriatric Depression Scale-15, Generalized Anxiety Disorde-7, Athens Insomnia Scale, Charlson Comorbidity Index (CCI), and Modified Frailty Index. Binary Logistic regression analysis was used to explore the influencing factors of preoperative frailty in elderly patients with spinal degenerative diseases and establish a risk prediction model. Receiver Operating Characteristic (ROC) curve was used to assess the discriminative power of the model, and Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model.Results:A total of 324 questionnaires were distributed, and 308 valid questionnaires were collected, with a valid response rate of 95.06% (308/324). Among 308 elderly patients with degenerative spinal diseases, 56 patients experienced preoperative frailty. Binary Logistic regression analysis showed that falls within one year, CCI, serum albumin, activities of daily living, and self-rated health status were the influencing factors for preoperative frailty in elderly patients with spinal degenerative diseases ( P<0.05). The area under the ROC curve of the prediction model was 0.851, with a sensitivity of 0.786 and a specificity of 0.778. Hosmer Lemeshow test indicated that the predictive model had a good fit (χ 2=3.764, P=0.709) . Conclusions:Falls within one year, CCI, serum albumin, activities of daily living, and self-rated health status are influencing factors for preoperative frailty in elderly patients with spinal degenerative diseases. The risk prediction model constructed can identify preoperative frailty early and has good predictive performance, which is worthy of clinical promotion.

Objective To analyze the research status and trend of scarlet fever literature in China, and to provide reference for subsequent research. Methods Three major Chinese databases, CNKI, Wanfang, and VIP, as well as Web of Science English database, were used to search for literature related to scarlet fever from 2000 to 2023. Citespace6.2.R2 software was used to statistically analyze the number of publications, authors, institutions and journals, co-cited literature, keyword clustering, and other literature characteristics of the literature. Results From 2000 to 2023, a total of 1 011 Chinese literature were included in the three major Chinese databases. Since 2011, the number of publications had gradually increased, but in recent years, the number of publications had decreased. The organization with the most publications was the Shenyang Center for Disease Control and Prevention. The cluster analysis of key words mainly formed 9 cluster tags, and the high-frequency keywords mainly included epidemic characteristics, epidemiology, incidence rate, etc. A total of 84 English literature were included in the WOS database, with an overall upward trend in publication volume. The institution with the most publications was the China Center for Disease Control and Prevention, and the most frequently cited journal was ^“LANCET INFECT DIS^”.《Resurgence of scarlet fever in China: a 13-year population-based surveillance study》 was the most cited journal. After keyword cluster analysis, 9 cluster labels were mainly formed, and the keywords were mainly outbreak，Hong Kong, and Group A streptococcus. Conclusion Compared with the English literature, which mainly focuses on spatiotemporal aggregation, etiology and strain resistance, Chinese literature focuses more on epidemic surveillance, clinical features and quality nursing.

Objective To explore the research progress, research hotspot and development trend of tigecycline resistance based on the quantitative analysis and visualization function of CiteSpace. Methods The data were collected from 4,263 Chinese and English articles on tigecycline resistance in CNKI, Wanfang, VIP and Web of Science (WOS) databases from 2012 to 2022. CiteSpace 5.8.R3 software was used to analyze the cooperative network of authors, the cooperative network of countries and institutions, the total citation times of journals, and keywords included in the literature, to reveal the hotspots and trends of tigecycline resistance research. Results The number of articles published in English literature was higher than that in Chinese literature. China had the largest number of published documents, showing a significant international academic influence in this research field. Countries all over the world were concerned about the resistance of tigecycline, but Chinese literatures focused more on the clinical infection and prevention of tigecycline resistance, while English literatures placed special emphasis on the research about the drug resistance mechanism of tigecycline. Conclusion The research direction at home and abroad is basically the same, but the research focus has gradually shifted from the clinical treatment and monitoring of tigecycline to the molecular level of drug resistance mechanism.