Objective To construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.

Objective To investigate the levels and influencing factors for eye lens dose of interventional radiology workers, and to provide a basis for reasonable and scientific radiation protection. Methods Thermoluminescent eye lens dosimeters were used to monitor the left and right eye lens doses of interventional radiology workers in real time during different surgical positions and varying eye protection conditions. The annual eye lens doses for the operators were estimated based on their yearly workload. The differences in eye lens doses under different conditions were analyzed and the influencing factors were identified. Results For individual interventional operations, the range of personal dose equivalent H_p(3) of the left eye of interventional radiology workers was ( < MDL ~ 418.33) μSv, the median (Q₁, Q₃) was 9.29 ( < MDL, 40.79) μSv, and the mean was 40.79 ± 70.36 μSv. The estimated annual eye lens doses were 4.05 mSv and 17.80 mSv based on the median and mean values of the eye lens dose of a single operation multiplied by average annual frequency of operations per person, respectively. The left eye lens dose was higher than the right eye lens dose of the same operator (Z = −4.24, P < 0.05), and the dose of the right eye lens was strongly positively correlated with that of the left eye lens. The left eye lens dose of the first surgeon was higher than that of the second surgeon in the same operation (Z = −3.10, P < 0.05). The eye lens dose was influenced by operator position (χ² = 9.149, P = 0.002, OR = 8.343), eye protection (χ² = 4.619, P = 0.032, OR = 4.352), and air kerma area product (χ² = 8.032, P = 0.005, OR = 5.488). Conclusion According to the results of this study, a significant portion of interventional operators have eye lens doses that approach or exceed international occupational dose limits. It is recommended to pay attention to the operation frequency of the first operator and the air kerma area product of interventional operation, and strengthen radiation protection and dose monitoring for the eye lens of interventional radiology workers.

OBJECTIVE To standardize the main processes and related technical links of the clinical comprehensive evaluation of drugs， and provide guidance and reference for improving the quality of comprehensive evaluation evidence and its transformation and application value. METHODS The construction of Guideline for the Workflow of Clinical Comprehensive Evaluation of Drugs was based on the standard guideline formulation method of the World Health Organization （WHO）， strictly followed the latest definition of guidelines by the Institute of Medicine of the National Academy of Sciences of the United States， and conformed to the six major areas of the Guideline Research and Evaluation Tool Ⅱ. Delphi method was adopted to construct the research questions； research evidence was established by applying the research methods of evidence-based medicine. The evidence quality classification system of the Chinese Evidence-Based Medicine Center was adopted for evidence classification and evaluation. The recommendation strength was determined by the recommendation strength classification standard formulated by the Oxford University Evidence-Based Medicine Center， and the recommendation opinions were formed through the expert consensus method. RESULTS & CONCLUSIONS The Guideline for the Workflow of Clinical Comprehensive Evaluation of Drugs covers 4 major categories of research questions， including topic selection， evaluation implementation， evidence evaluation， and application and transformation of results. The formulation of this guideline has standardized the technical links of the entire process of clinical comprehensive evaluation of drugs， which can effectively guide the high-quality and high-efficient development of this work， enhance the standardized output and transformation application value of evaluation evidence， and provide high-quality evidence support for the scientific decision-making of health and the rationalization of clinical medication.

Objective To evaluate the prevention and control effectiveness of four major chronic diseases in Youyang County, and find the weak link of prevention and control, and to provide theoretical support for improving prevention and control strategies. Methods Based on the death data of permanent residents from 2012 to 2020 extracted from the cause-of-death registration and reporting system of Youyang County, a statistical analysis was conducted using SPSS19.0. The annual percentage change (APC) was tested by t-test. Results From 2012 to 2020, the mortality rate of and the standardized mortality rate of the four major chronic diseases and the premature mortality rate of diabetes in males showed an increasing trend (APC was 3.05%, 1.82% and 27.12%, respectively, P < 0.05). The mortality rate of the four chronic diseases in females increased (APC was 2.53%, P < 0.05), while the proportion of premature death of the four chronic diseases and the probability of premature death of cardiovascular and cerebrovascular diseases in females decreased (APC was -2.37%, -5.73%, P < 0.05). The standardized mortality rate and premature death rate of the four major chronic diseases were higher in males than those in females. The mortality rate of the four major chronic diseases and the premature death rate of diabetes in the whole population were on the rise (APC was 2.84% and 12.86%, P < 0.05). It was expected that the early death probability of the four major chronic diseases in Youyang County would be 12.65% in 2030, higher than the target value of 12.59% of ^“Healthy China 2030^”. Conclusion The future focus of Youyang County is to prevent and control malignant tumors and diabetes, especially to strengthen the prevention and control of male diabetes.

The transcription factor HOXB13 plays crucial roles in cancer development. HOXB13 is abnormally expressed in most cancers, which makes it a valuable therapeutic target for cancer therapy. The level of HOXB13 differs significantly between healthy and cancer tissues, which indicates that the level of HOXB13 is closely related to carcinogenesis. The regulatory network mediated by HOXB13 in cancer proliferation, metastasis, and invasion has been systematically investigated. Moreover, HOXB13 variants play distinct roles in different cancers and populations. By understanding the molecular mechanisms and mutation features of HOXB13, we provide a comprehensive overview of carcinogenesis networks dependent on HOXB13. Finally, we discuss advancements in anticancer therapy targeting HOXB13 and the roles of HOXB13 in drug resistance to molecular-targeted therapies, which serves as a foundation for developing HOXB13-targeted drugs for clinical diagnosis and cancer therapies.
Humans ; Neoplasms/metabolism* ; Homeodomain Proteins/metabolism* ; Carcinogenesis/genetics* ; Mutation ; Gene Expression Regulation, Neoplastic ; Molecular Targeted Therapy ; Drug Resistance, Neoplasm/genetics*

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

OBJECTIVE: Human brucellosis is a serious public health concern in the Xilingol League, Inner Mongolia; however, the epidemic trends are unclear. METHOD: In this study, Joinpoint regression analysis and spatiotemporal analysis were applied to investigate the epidemic evolution of human brucellosis. RESULT: From 2004 to 2023, a total of 35,747 cases were reported, with an annual average of 1787.35 cases and an annual average incidence rate of 176.04/100,000. The incidence increased from 173.96/100,000 in 2004 to 500.71/100,000 in 2009 and fluctuated to 61.43/100,000 in 2023. Three epidemic join points were observed in which the disease experienced an alternative rise and fall, peaking in 2009 (APC = 21.73, P > 0.001) and 2020 (APC = 21.51, P > 0.001). The disease showed a persistent decline trend in lentitude (AAPC = -5.30, P > 0.001), suggesting challenges in disease control and a higher risk of rebound. The most cases were reported in Xilinhot City ( n = 4,777), followed by 4,391 in Sonid Left Banner, and 4,324 in Abaga Banner. Spatiotemporal analysis revealed two high clusters (CI and CII) from 2005 to 2012, the high cluster encompassing eight counties and shifting from north to south. CONCLUSION The present analysis highlights that human brucellosis has decreased significantly in the Xilingol League, but the epidemic is still severe; further implementation of a strict control program is necessary.
China/epidemiology* ; Humans ; Brucellosis/epidemiology* ; Epidemics ; Spatio-Temporal Analysis ; Incidence ; Cluster Analysis

Objective:To investigate the clinical value of dynamic AI ultrasonic intelligent assisted diagnosis system for preoperative evaluation of thyroid nodules with diameter ≤1.0 cm.Methods:From Apr. 1, 2023, to Dec. 30, 2023, 742 thyroid nodules with diameter ≤1.0 cm were removed from 532 patients with thyroid nodule disease who received surgical treatment in the Department of Thyroid (hernia) of the First Medical Center of the Chinese People’s Liberation Army General Hospital. Among them, 423 were d≤0.5 cm. 319 cases (235 males and 507 females) with 0.5

Objective:To explore the application effect of comprehensive exercise program led by specialized nurses in patients with coronary heart disease(CHD)and type 2 diabetes mellitus(T2DM).Methods:We enrolled 386 CHD+T2DM patients admitted in Provincial Hospital Affiliated to Fuzhou University between April and December 2022.The patients were divided into control group(n=193)and intervention group(n=193)according to the order of their admission.The patients in control group received routine treatment and follow-up,while those in the in-tervention group received additional individualized exercise rehabilitation program led by specialized nurses.Both groups were intervened for 24 weeks.Levels of blood glucose[fasting blood glucose(FBG),glycosylated hemoglo-bin A1c(HbA1c)],blood lipids[low density lipoprotein cholesterol(LDL-C),total cholesterol(TC)],left ven-tricular ejection fraction(LVEF)and 6min walking distance(6MWD)were compared between two groups at dis-charge and six months after discharge.Results:Compared with patients in control group after 6-month interven-tion,those in intervention group had significant lower FBG[(5.30±0.97)mmol/L vs.(5.52±1.04)mmol/L],HbA1c[(5.60±0.65)％vs.(5.78±0.95)％],LDL-C[(1.88±0.52)mmol/L vs.(2.01±0.48)mmol/L],TC[(3.85±0.82)mmol/L vs.(4.04±0.75)mmol/L],and significant higher LVEF[(59.67±4.84)％ vs.(57.22±6.45)％]and 6MWD[(504.66±75.21)m vs.(487.75±56.16)m](P＜0.05 or＜0.01).Conclusion:Special-ized nurse-led exercise rehabilitation program could effectively control blood glucose and lipid levels,improve heart function,exercise endurance and prognosis in patients with type 2 diabetes mellitus and coronary heart disease.

Objective To investigate the correlation between the levels of activated protein C(APC),thromboxane B2(TXB2),and soluble B7-H3(sB7-H3)in the peripheral blood of elderly patients with pneumonia and the severity as well as prognosis of the disease.Methods One hundred elderly pneumonia patients admitted to our hospital from March 2022 to June 2024 were enrolled as the study group,and 100 healthy volunteers during the same period were selected as the control group.The levels of APC,TXB2,and sB7-H3 in peripheral blood were com-pared between the two groups.Study group patients were further categorized into low-risk,medium-risk,and high-risk subgroups based on the CURB-65 score(Confusion,Uremia,Respiratory rate,Blood pressure,Age≥65 years).The levels of APC,TXB2,and sB7-H3 in peripheral blood were compared among patients with varying disease severities.Pearson correlation analysis was performed to evaluate the correlation between the levels of APC,TXB2,and sB7-H3 in peripheral blood and disease severity.The study group was followed up for 30 days and subsequently divided into good prognosis and poor prognosis subgroups according to their clinical outcomes.Clinical data and peripheral blood levels of APC,TXB2,and sB7-H3 were compared between patients with different prognoses.Partial correlation analysis was conducted to assess the relationship between peripheral blood levels of APC,TXB2,and sB7-H3 and prognosis.Finally,the predictive value of these biomarkers was evaluated using the Receiver Oper-ating Characteristic(ROC)curve.Results The level of APC in the peripheral blood of the study group was signifi-cantly lower than that of the control group,whereas the levels of TXB2 and sB7-H3 were significantly higher(P<0.05).The severity of the disease in the study group was assessed using the CURB-65 score,which categorized patients into 33 mild cases,39 moderate cases,and 28 severe cases.Severe patients exhibited a lower level of APC in peripheral blood compared to moderate and mild patients.Additionally,the levels of TXB2 and sB7-H3 in moderate patients were higher than those in mild patients,while severe patients demonstrated even higher levels of TXB2 and sB7-H3 compared to both moderate and mild patients(P<0.05).Pearson correlation analysis revealed that peripheral blood APC was negatively correlated with the CURB-65 score,whereas TXB2 and sB7-H3 were positively correlated with the CURB-65 score(P<0.05).During a 30-day follow-up period,the research team identified 79 patients with good prognoses and 21 patients with poor prognoses.Significant differences were observed in diabetes prevalence,disease severity,and APACHEⅡ scores between the poor prognosis subgroup and the good prognosis subgroup(P<0.05).The levels of APC in peripheral blood were significantly lower in the poor prognosis subgroup compared to the good prognosis subgroup,whereas the levels of TXB2 and sB7-H3 were significantly higher(P<0.05).Partial correlation analysis revealed that peripheral blood APC,TXB2,and sB7-H3 were significantly associ-ated with prognosis(P<0.05).The AUC values for predicting the prognosis of elderly pneumonia patients using peripheral blood APC,TXB2,and sB7-H3 were 0.752,0.738,and 0.761,respectively,with sensitivities of 66.67%,76.19%,and 66.67%,and specificities of 78.48%,67.09%,and 78.48%.When combining these three indicators for prognostic prediction,the AUC increased to 0.918,with a sensitivity of 85.71%and a specificity of 87.34%,demonstrating a significant improvement in predictive accuracy compared to each indicator used alone(Z=2.207,2.666,2.109,P=0.027,0.008,0.035).Conclusion The levels of APC,TXB2,and sB7-H3 in the peripheral blood of elderly patients with pneumonia are significantly associated with the severity and prognosis of the disease.Combined detection of these biomarkers can serve as a reliable predictor of clinical outcomes.