Objective To assess the accuracy of pN staging prediction in papillary thyroid carcinoma (PTC) using ultrasound radiomics and deep neural networks (DNN). Methods A retrospective analysis was conducted on 375 patients with pathologically confirmed PTC, comprising 261 cases in the training set and 114 in the test set. Staging was categorized as pN0 (no cervical lymph node metastasis), pN1a (central neck lymph node metastasis), and pN1b (lateral neck lymph node metastasis). An ultrasound physician manually segmented the regions of interest (ROIs) for PTC, extracting 1899 radiomic features. Dimensionality reduction was performed using the least absolute shrinkage and selection operator (LASSO) regression. A DNN model for predicting PTC pN staging was developed using the H2O deep learning platform, trained on the training set, and validated on the test set to assess the accuracy of the optimal model. Results A total of 153 patients were in the pN0 stage, 131 patients in the pN1a stage, and 91 patients in the pN1b stage. LASSO regression selected 15 radiomic features for each PTC. The optimal DNN model, constructed using these 15 features, achieved accuracies of 85.82% on the training set and 81.57% on the test set. Conclusion Ultrasound radiomics of PTC demonstrates high accuracy in predicting pN staging and shows potential for automating N staging in patients.

[Objective] To investigate the factors associated with alanine aminotransferase (ALT) abnormalities in multi-ethnic blood donors across five Zang autonomous prefectures in the plateau regions of Qinghai Province, and to provide evidence for ensuring blood safety and formulating screening strategies. [Methods] A retrospective analysis was performed on the ALT abnormal test results of blood donors in the Zang autonomous prefectures of Qinghai from 2022 to 2024. The correlations between ALT levels and factors including gender, age, altitude, and infectious markers were investigated. [Results] The overall ALT unqualified rate among blood donors in this region was 9.01%. Significant differences in ALT levels were observed across genders and age groups (P<0.05). Variations in ALT abnormality rates were also noted among different plateau regions (P<0.05). Overall, ALT values exhibited an increasing trend with rising altitude. The average ALT unqualified rates were 11.19% in Zang donors, 7.96% in Han donors, and 4.79% in donors from other ethnic groups (P<0.05). No statistically significant association was observed between ALT abnormality and the presence of HBV/HCV infectious markers (P>0.05). [Conclusion] In the plateau areas of Qinghai, multi-ethnic blood donors have a relatively high ALT levels and ALT unqualified rates, showing distinct regional characteristics. ALT elevation in voluntary blood donors is related to non-pathological factors such as gender, age, and dietary habits, but not to infectious indicators.

Objective: To retrospectively analyze the prevalence of hepatitis C virus (HCV) infection among voluntary blood donors in Qinghai Province over a ten-year period and to provide evidence for refining blood safety screening strategies. Methods: Blood samples from 362 066 blood donors in Qinghai collected between January 2015 and April 2024 were simultaneously screened using enzyme-linked immunosorbent assay (ELISA) and nucleic acid testing (NAT). Follow-up was conducted for donors with reactive HCV RNA screening results, and alanine transaminase (ALT) was detected by rate method. Results: The HCV positive rate among blood donors in Qinghai was 0.22%. Gender, marital status, number of blood donations, and educational level were associated with HCV infection. Significant differences in HCV positive rates were observed among donors across regions and ethnic groups. The HCV positive rate among donors in Golog Tibetan Autonomous Prefecture (with an average altitude of 4 330 m) was significantly higher than that in Xining (0.52% vs 0.21%, P<0.001). Positivity rates were also significantly higher in Salar (0.84%), Hui (0.81%), Zang (0.60%), and Tu (0.45%) ethnic groups compared to the Han ethnic group (0.17%) (P<0.001). The abnormal rate of ALT in HCV-positive donors was higher than in non-HCV donors (6.13% vs 1.55%) (P<0.001). Conclusion: The relatively high HCV positivity rate among blood donors in Qinghai highlights the need for further investigation into viral sources, risk factors, and transmission routes. Optimized screening strategies are essential to ensure blood safety.

Objective:To investigate the value of diameter of pulmonary nodules,radiological indicators,serum tumor markers(CEA,CYFRA21-1,and SCC),and methylation of HOXA7 and SOX17 in circulating tumor DNA(ctDNA)in the early diagnosis of lung can-cer.Methods:A total of 60 patients with malignant pulmonary nodules and 60 patients with benign pulmonary nodules who were admit-ted to our hospital from September 2021 to December 2022 were enrolled as lung cancer group and benign nodule group,respectively,and 80 healthy individuals who underwent physical examination in our hospital during the same period of time were enrolled as control group.The three groups were compared in terms of the diameter of nodules,spiculation sign,levels of serum tumor markers,and meth-ylation rates of HOXA7 and SOX17 in plasma ctDNA,and a multivariate regression analysis was performed to identify the independent risk factors for carcinogenesis and establish a predictive model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the model.Results:Compared with the benign nodule group and the control group,the lung cancer group had significantly higher diameter of pulmonary nodules,proportion of patients with spiculation sign,CEA,ProGRP,CYFRA21-1,and methylation rates of serum HOXA7,and SOX17,and the lung can-cer group had a significantly higher level of SCC than the control group(all P<0.05).The diameter of pulmonary nodules,spiculation sign,and methylation rates of HOXA7 and SOX17 in serum ctDNA were independent risk factors for malignant pulmonary nodules(P<0.05),and a predictive model was established as Y=ex/(1+ex),where x=-7.233+(0.108×nodule diameter)+(3.860×spiculation sign)+(0.021×HOXA7 methylation rate)+(0.043×SOX17 methylation rate).The predictive model had an area under the ROC curve(AUC)of 0.981,with a significantly larger AUC than each indicator alone and the Mayo and LCBP models(P<0.05).Conclusion:The diameter of pulmonary nodules,spiculation sign,and methylation rates of HOXA7 and SOX17 in ctDNA have a relatively high value in the early diagnosis of lung cancer,and the predictive model based on these indicators can significantly improve diagnostic performance.

Idiopathic pulmonary fibrosis (IPF) is a progressive disease lacking effective therapy. Metformin, an antidiabetic medication, has shown promising therapeutic properties in preclinical fibrosis models; however, its precise cellular targets and associated mechanisms in fibrosis resolution remain incompletely defined. Most research on metformin's effects has focused on mesenchymal and inflammatory responses with limited attention to epithelial cells. In this study, we utilized Sftpc lineage-traced and Fgfr2b conditional knockout mice, along with BMP2/PPARγ and AMPK inhibitors, to explore metformin's impact on alveolar epithelial cells in a bleomycin-induced pulmonary fibrosis model and cell culture. We found that metformin increased the proliferation and differentiation of alveolar type 2 (AT2) cells, particularly the recently identified injury-activated alveolar progenitors (IAAPs)-a subpopulation characterized by low SFTPC expression but enriched for PD-L1. Single-cell RNA sequencing revealed a reduction in apoptosis among mature AT2 cells. Interestingly, metformin's therapeutic effects were not significantly affected by BMP2 or PPARγ inhibition, which blocked the lipogenic differentiation of myofibroblasts. However, Fgfr2b deletion in Sftpc lineage cells significantly impaired metformin's ability to promote fibrosis resolution, a process linked to AMPK signaling. In conclusion, metformin alleviates fibrosis by directly activating AT2 cells, especially the IAAPs, through a mechanism that involves AMPK and FGFR2b signaling, but is largely independent of BMP2/PPARγ pathways.

Objective:To investigate the current status of knowledge, attitude, and practice (KAP) of intensive care unit (ICU) medical staff for post-intensive care syndrome (PICS) and explore its influencing factors.Methods:The cross-sectional investigation study with stratified sampling was conducted. From June to September 2024, ICU medical staff from general hospitals in 5 regions (Chongqing, Beijing, Shaanxi, Jiangsu, and Gansu) were selected as the research subjects. The KAP of PICS questionnaire was distributed in the form of an electronic questionnaire. Observation indicators: (1) results of the questionnaire survey; (2) general information of ICU medical staff; (3) KAP scores of PICS and the correlation among various dimensions; (4) analysis of influencing factors for KAP of PICS. Comparison of measurement data with normal distribution between groups was conducted using the independent samples t test. One-way analysis of variance (ANOVA) was applied for com-parison among multiple groups, and post-hoc LSD test was used for pairwise comparison. Comparison of count data between groups was conducted using the chi-square test. Pearson correlation analysis was adopted for correlation analysis. Multiple linear regression analysis was used for univariate and multivariate analyses. Results:(1) Results of questionnaire survey. A total of 410 questionnaires were distributed and retrieved, among which 408 were valid, with an effective rate of 99.512%(408/410). (2) General information of ICU medical staff. Among the 408 ICU medical staff, there were 79 males and 329 females. Eight cases were under 25 years old, 248 cases were 25-35 years old, 132 cases were 36-40 years old, and 20 cases were over 40 years old. In terms of professional title, there were 10 junior nurses, 130 junior nurse practitioners, 228 intermediate nurse practitioners, and 40 senior nurse practitioners. About the educational background, 34 cases had a junior college degree, 347 cases had a bachelor's degree, and 27 cases had a master's degree or above. Regarding the hospital level, 25 nurses worked in secondary hospitals and 383 cases in tertiary hospitals. In terms of ICU type, 181 cases were from specialized ICU and 227 cases from general ICU. About working experience in ICU, 41 nurses had less than 5 years, 207 cases had 5-10 years, and 160 cases had more than 10 years. (3) KAP scores of PICS and the correlation among various dimensions. The total KAP score of PICS among the 408 ICU medical staff was 88.7±14.2, with 40.2±9.2 for the knowledge dimension, 22.0±5.6 for the attitude dimension, and 26.5±6.3 for the practice dimension. Pearson correlation analysis showed that the knowledge dimension of PICS among ICU medical staff was significantly positively correlated with both the attitude dimension and the practice dimension ( r=0.15, 0.69, P<0.05); the attitude dimension was positively correlated with the practice dimension ( r=0.23, P<0.05).(4) Analysis of influencing factors for KAP of PICS. Results of multivariate analysis showed that age (25-35 years old, 36-40 years old, over 40 years old), educational background and hospital level were independent influencing factors for the KAP of PICS among ICU medical staff ( t=2.23, 1.97, 2.84, 0.15, 2.04, P<0.05). Conclusions:The KAP of PICS among ICU medical staff is relatively good, while their practical ability still needs to be improved. Age, educational background, and hospital level are independent influencing factors for the KAP of PICS among ICU medical staff.

With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.

Objective:To examine the interaction between interpersonal issues and eating behavior problems among college freshmen, and to identify core psychological factors and potential pathways that drive eating behavior.Methods:In October 2019, a total of 5 073 college freshmen from a university in Shanghai were recruited as participants. Their general demographic data were collected, and they were evaluated using the eating disorder examination questionnaire 6.0 (EDE-Q 6.0) and inventory of interpersonal problems-32(IIP-32).Descriptive analyses were performed using SPSS 24.0 software.A regularized partial correlation network was constructed using the graphical least absolute shrinkage and selection operator (GLASSO) in R(v4.2.3) software. A Bayesian network analysis (BNA) was conducted to build a directed network, aiming to identify core driving factors and key psychological mechanisms.Results:Regularized partial correlation network identified shape concern as the most central node, with the highest strength centrality(1.32) and expected influence(1.20). It showed the highest bridge strength with dominance/control (0.22, 0.21), linking the interpersonal and eating behavior modules. Directed network analysis indicated that low self-confidence was the upstream node influencing social inhibition and cold/ distant relationships, indirectly affecting eating disorder.Within the eating module, shape concern and weight concern predicted eating preoccupation and dietary restraint, forming a pathway structure from eating cognition to behavior.The network demonstrated good stability (CS-coefficient=0.75).Conclusion:Shape concern is the core mechanism underlying eating problems in college freshmen. Low self-confidence contributes indirectly via interpersonal dysfunction. Dominance/control and shape concern bridge interpersonal and eating domains, providing key targets for early prevention and intervention.

Objective:To examine the interaction between interpersonal issues and eating behavior problems among college freshmen, and to identify core psychological factors and potential pathways that drive eating behavior.Methods:In October 2019, a total of 5 073 college freshmen from a university in Shanghai were recruited as participants. Their general demographic data were collected, and they were evaluated using the eating disorder examination questionnaire 6.0 (EDE-Q 6.0) and inventory of interpersonal problems-32(IIP-32).Descriptive analyses were performed using SPSS 24.0 software.A regularized partial correlation network was constructed using the graphical least absolute shrinkage and selection operator (GLASSO) in R(v4.2.3) software. A Bayesian network analysis (BNA) was conducted to build a directed network, aiming to identify core driving factors and key psychological mechanisms.Results:Regularized partial correlation network identified shape concern as the most central node, with the highest strength centrality(1.32) and expected influence(1.20). It showed the highest bridge strength with dominance/control (0.22, 0.21), linking the interpersonal and eating behavior modules. Directed network analysis indicated that low self-confidence was the upstream node influencing social inhibition and cold/ distant relationships, indirectly affecting eating disorder.Within the eating module, shape concern and weight concern predicted eating preoccupation and dietary restraint, forming a pathway structure from eating cognition to behavior.The network demonstrated good stability (CS-coefficient=0.75).Conclusion:Shape concern is the core mechanism underlying eating problems in college freshmen. Low self-confidence contributes indirectly via interpersonal dysfunction. Dominance/control and shape concern bridge interpersonal and eating domains, providing key targets for early prevention and intervention.

With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.