Objective: To analyze the epidemiological characteristics and influencing factors of severe fever with thrombocytopenia syndrome (SFTS) in Zhejiang Province from 2019 to 2023, so as to provide the reference for strengthening SFTS prevention and control. Methods: Data on laboratory-confirmed SFTS cases in Zhejiang Province from 2019 to 2023 were collected through the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. Meteorological data, geographic environment and socioeconomic factors during the same period were collected from the fifth-generation European Centre for Medium-Range Weather Forecasts, Geospatial Data Cloud, and Zhejiang Statistical Yearbook, respectively. Descriptive epidemiological methods were used to analyze the epidemiological characteristics of SFTS from 2019 to 2023, and a Bayesian spatio-temporal model was constructed to analyze the influencing factors of SFTS incidence. Results: A total of 578 SFTS cases were reported in Zhejiang Province from 2019 to 2023, with an annual average incidence of 0.23/105. The peak period was from May to July, accounting for 52.60%. There were 309 males and 269 females, with a male-to-female ratio of 1.15∶1. The cases were mainly aged 50-<80 years, farmers, and in rural areas, accounting for 82.53%, 77.34%, and 75.43%, respectively. Taizhou City and Shaoxing City reported more SFTS cases, while Shaoxing City and Zhoushan City had higher annual average incidences of SFTS. The Bayesian spatio-temporal interaction model showed good goodness of fit. The results showed that mean temperature (RR=1.626, 95%CI: 1.111-2.378) and mean wind speed (RR=1.814, 95%CI: 1.321-2.492) were positively correlated with SFTS risk, while altitude (RR=0.432, 95%CI: 0.230-0.829) and population density (RR=0.443, 95%CI: 0.207-0.964) were negatively correlated with SFTS risk. Conclusions SFTS in Zhejiang Province peaks from May to July. Middle-aged and elderly people and farmers are high-risk populations. Taizhou City, Shaoxing City, and Zhoushan City are high-incidence areas. Mean temperature, mean wind speed, altitude, and population density can all affect the risk of SFTS incidence.

Objective: To understand the serum vitamin D and vitamin K 1 levels of children in the Qingdao area, so as to provide scientific grounds for appropriate vitamin supplementation. Methods: A total of 4 469 children aged 0-14 years old, who attended the children s healthcare outpatient clinics of a tertiary hospital in Qingdao, were enrolled in the current study between January 2023 and July 2024. The levels of vitamin D and vitamin K 1 were measured by liquid chromatography tandem mass spectrometry. The inter group differences were analyzed using Chi square test, Wilcoxon rank sum test, and Kruskal-Wallis H test. The correlation analysis of vitamin D and vitamin K 1 levels with age was performed using the Spearman correlation. Results: The serum vitamin D level among children was 28.72(22.67, 36.26)ng/mL. The vitamin D deficiency and insufficiency rates were 2.10% and 14.59 %, respectively. The serum 25-(OH)D 2 level was 0.29(0.14, 0.53)ng/mL, the serum 25-(OH)D 3 level was 27.99( 21.78 , 35.57)ng/mL and the serum vitamin K 1 level was 0.54(0.29, 1.04)ng/mL. The vitamin K 1 deficiency rate was 13.76%. Among different age stages, the serum vitamin D level was highest in infancy [37.45(30.39, 43.87)ng/mL] and lowest in school age children [22.39(18.00, 26.97)ng/mL]; the level of vitamin K 1 was highest in preschool children [0.79(0.41, 1.51) ng/mL] and lowest in school age children[0.45 (0.26, 0.76) ng/mL]; the serum vitamin D deficiency and insufficiency rates were highest in school age children (5.03% and 30.81%); the vitamin K 1 deficiency rate was highest in infancy (21.53%) ( H/χ 2=1 698.31, 253.70 , 137.85 , 583.79, 89.30, all P <0.05). Among different seasons, the serum vitamin D and vitamin K 1 levels were lowest in the winter [26.74(18.37, 35.86) and 0.50 (0.27, 0.94)ng/mL; H =50.71, 7.86]; the vitamin D deficiency and insufficiency rates were highest in the winter (5.41% and 24.80%; χ 2=59.93, 83.35) (all P <0.05). The serum vitamin D level had a moderate negative correlation with age ( r =-0.62), and there was a low positive correlation between the serum vitamin D and vitamin K 1 levels in infancy and early childhood ( r =0.21, 0.26) (all P <0.05). Conclusions The serum vitamin D and vitamin K 1 levels are lowest in school age children and in the winter, and the serum vitamin K 1 deficiency rate is highest in infancy. There is a need to focus on critical periods of infancy and school age, and strengthen interventions during the high risk winter season. The nutritional status of vitamin D and vitamin K 1 in children should be enhanced.

Objective: To analyze the developmental trajectories of clustered health risk behaviors and their association with self-esteem and lonelinesss among junior high school students, so as to provide a reference for formulating comprehensive prevention and control measures of health risk behaviors among adolescents. Methods: In October 2023, 1 165 first year junior high school students from two schools of Jishou City in Hunan Province were selected by convenient sampling method for three follow up surveys (T1:October 2023; T2:April 2024; T3:October 2024). The Adolescent Health Risk Behavior Questionnaire, Rosenberg Self esteem Scale and Loneliness Scale were used to assess health risk behaviors, self esteem and loneliness, respectively. Latent growth curve modeling and latent growth mixture modeling were applied to analyze the developmental trajectories of clustered health risk behaviors among junior high school students. Logistic regression was used to analyze the association of the developmental trajectories of clustered health risk behaviors with self esteem and loneliness among junior high school students. Results: The overall developmental trajectories among junior high school students showed a declining trend (intercept=0.15, slope=-1.65, both P <0.05), with three heterogeneous categories:low risk improvement group ( n =862, 74.0%), moderate risk stable group ( n =260, 22.3%), and high risk deterioration group ( n =43, 3.7%). After adjusting the status of the left behind individuals，using the low risk improvement group as the reference category in multinomial Logistic regression analysis, results indicated that higher loneliness scores among junior high school students increased the risks of belonging to the moderate risk stable group ( OR=1.02, 95%CI =1.00- 1.04 ) and the high risk deterioration group ( OR=1.04, 95%CI =1.00-1.08), while higher self esteem scores reduced the risks of belonging to the moderate risk stable group ( OR=0.93, 95%CI =0.91-0.96) and the high risk deterioration group ( OR=0.88, 95%CI =0.83-0.94) (all P <0.05). Conclusions The overall trend of clustered health risk behaviors among junior high school students gradually improves, and the self esteem and loneliness are significant correlative factors. Targeted intervention measures should be developed for the junior high school students, with a focus on enhancing their self esteem and alleviating loneliness.

Chronic post-surgical pain (CPSP) is a common long-term complication following lung surgery. Its high incidence significantly impacts patients’ quality of life and functional recovery, and imposes a substantial socioeconomic burden. This consensus aims to systematically establish a standardized integrated Chinese and Western medicine diagnostic and treatment framework for chronic post-lung surgery pain (CPLSP). Based on the latest domestic and international evidence-based medical research and multidisciplinary clinical experience, the working group comprehensively elaborates on core issues regarding CPLSP, including its definition, epidemiology, pathogenesis, clinical assessment, Western medical treatment, traditional Chinese medicine (TCM) treatment, and integrated strategies. The consensus emphasizes a patient-centered approach, adhering to the principles of multimodality, individualization, and stepwise management, highlighting the synergistic advantages of integrating Chinese and Western medicine throughout the entire perioperative management cycle encompassing "perioperative anti-inflammation, acute analgesia, and chronic rehabilitation." Through systematic literature retrieval and evidence integration, a total of 9 core recommendations were established to provide scientifically sound and clinically practical guidance.

Chronic obstructive pulmonary disease (COPD) is the most common chronic respiratory disease around the world, and pharmacotherapy is the foremost treatment method currently. In recent decades, with the rapid development of bronchoscopic interventional therapy, endoscopic physical ablation technology presents a therapeutic effect in treating COPD, with few treatment-related side effects, showing excellent application prospects in treating COPD. Since ablation techniques in this field are emerging technologies with low patient acceptance, they are not widely used in the clinical treatment of COPD. This article reviews the development process of physical ablation techniques. Moreover, their current application status and the prospects in the field of COPD treatment are also summarized and analyzed. We hope to promote the application of physical ablation in the clinical treatment of COPD and provide practical references and a theoretical basis for the clinical treatment of COPD.

Objective: To investigate the characteristics of public health emergencies in Jinhua City, Zhejiang Province from 2014 to 2023, so as to provide the reference for prevention and control of public health emergencies. Methods: Data of public health emergencies and related information in Jinhua City from 2014 to 2023 were collected through Emergency Public Reporting System of Chinese Disease Prevention and Control Information System. Attack rates, and distribution of time, areas and places were descriptively analyzed. Results: A total of 276 public health emergencies were reported in Jinhua City from 2014 to 2023. There were 10 324 reported cases and 7 deaths, with an attack rate of 0.32%. There were 53 Ⅳ-level (19.20%) and 223 unclassified public health emergencies (80.80%). Infectious disease emergencies were predominant types, accounting for 97.83% (270 events). The three most common infectious disease emergencies were other infectious diarrhea (42.03%), influenza (21.01%) and COVID-19 (16.30%). The reported public health emergencies peaked in November and December, with 66 and 45 events reported, respectively. The three most counties (cities, districts) included Yiwu City, Wucheng District and Lanxi City, accounting for 24.28% (67 events), 18.48% (51 events) and 11.96% (33 events), respectively. School and preschool institutions were predominant places where public health emergencies occurred (198 events, 71.74%). Conclusions The public health emergencies in Jinhua City from 2014 to 2023 were Ⅳ-level and unclassified emergencies, and infectious disease emergencies were predominant. November and December were the peak reporting periods, and schools and preschool institutions were the main places where these events occurred.

The European Society of Cardiology (ESC) released the "2024 ESC guidelines for the management of elevated blood pressure and hypertension" on August 30, 2024. This guideline updates the 2018 "Guidelines for the management of arterial hypertension." One notable update is the introduction of the concept of "elevated blood pressure" (120-139/70-89 mm Hg). Additionally, a new systolic blood pressure target range of 120-129 mm Hg has been proposed for most patients receiving antihypertensive treatment. The guideline also includes numerous additions or revisions in areas such as non-pharmacological interventions and device-based treatments for hypertension. This article interprets the guideline's recommendations on definition and classification of elevated blood pressure and hypertension, and cardiovascular disease risk assessment, diagnosing hypertension and investigating underlying causes, preventing and treating elevated blood pressure and hypertension. We provide a comparison interpretation with the 2018 "Guidelines for the management of arterial hypertension" and the "2017 ACC/AHA guideline on the prevention, detection, evaluation, and management of high blood pressure in adults."

Objective By combining biological detection and imaging evaluation, a clinical prediction model is constructed based on a large cohort to improve the accuracy of distinguishing between benign and malignant pulmonary nodules. Methods A retrospective analysis was conducted on the clinical data of the 32 627 patients with pulmonary nodules who underwent chest CT and testing for 7 types of lung cancer-related serum autoantibodies (7-AABs) at our hospital from January 2020 to April 2024. The univariate and multivariate logistic regression models were performed to screen independent risk factors for benign and malignant pulmonary nodules, based on which a nomogram model was established. The performance of the model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results A total of 1 017 patients with pulmonary nodules were included in the study. The training set consisted of 712 patients, including 291 males and 421 females, with a mean age of (58±12) years. The validation set included 305 patients, comprising 129 males and 176 females, with a mean age of (58±13) years. Univariate ROC curve analysis indicated that the combination of CT and 7-AABs testing achieved the highest area under the curve (AUC) value (0.794), surpassing the diagnostic efficacy of CT alone (AUC=0.667) or 7-AABs alone (AUC=0.514). Multivariate logistic regression analysis showed that radiological nodule diameter, nodule nature, and CT combined with 7-AABs detection were independent predictors, which were used to construct a nomogram prediction model. The AUC values for this model were 0.826 and 0.862 in the training and validation sets, respectively, demonstrating excellent performance in DCA. Conclusion The combination of 7-AABs with CT significantly enhances the accuracy of distinguishing between benign and malignant pulmonary nodules. The developed predictive model provides strong support for clinical decision-making and contributes to achieving precise diagnosis and treatment of pulmonary nodules.