Objective To analyze the characteristics of viral hepatitis mortality and life loss among residents in Pudong New Area from 2003 to 2023, and to provide a basis for related prevention and control work. Methods Viral hepatitis mortality data were obtained from the Pudong New Area mortality monitoring system. The crude mortality rate (CMR), standardized mortality rate (SMR), potential years of life lost (PYLL), average years of life lost (AYLL), and standardized potential years of life lost (SPYLL) were calculated to analyze viral hepatitis deaths. The average annual change (AAPC) and annual percentage change (APC) of the mortality rate were calculated by Joinpoint regression analysis to analyze the trend of mortality. Results The CMR and SMR of viral hepatitis among residents in Pudong New Area from 2003 to 2023 were 3.89/100000 and 1.98/100000, respectively. Both CMR and SMR of viral hepatitis showed a decreasing trend over time (CMR:APC=-5.476, t=-13.581, P<0.001; SMR:APC=- 7.624, t= -21.253, P<0.001). The CMR for males was 4.75/100000 and the SMR for males was 2.65/100000; the CMR for females was 3.04/100000 and the SMR for females was 1.32/100000, with a higher mortality rate for males than for females（Z_CME=12.094，P<0.001; Z_SMR=-14.718，P<0.001). Deaths were concentrated in the age groups of 45-64 years old and 65 years old and above, accounting for 91.62% of the total deaths. The PYLL of deaths due to viral hepatitis among residents in Pudong New Area from 2003 to 2023 was 26912 person-years, with a PYLLR of 0.45% and an AYLL of 8.88 years per person. Conclusion The mortality rate of viral hepatitis among the residents of Pudong New Area in 2003-2023 shows a decreasing trend over time. The mortality rate of males is higher than that of females, and the deaths of middle-aged and elderly people account for a large proportion of the total deaths. Chronic hepatitis B is the main cause of death.

The digitization of traditional Chinese medicine (TCM) has generated vast amounts of data. However, these data are characterized by significant heterogeneity and complex semantic structures, posing substantial challenges for systematic integration and intelligent analysis, and limiting its potential for modern clinical and computational research. To address the challenges posed by the high heterogeneity and complex structure in TCM data, we designed and developed the TCM Data Hub platform, which is powered by the YiYuan large language models (LLMs). This platform aims to enhance intelligent data processing capabilities and unlock the potential for clinical application of TCM data through systematic integration and efficient utilization, thereby bridging the gap between traditional knowledge and modern computational research. This study first analyzed the heterogeneity and complexity of TCM information with respect to data types, structures, and semantics. A standardized data framework was constructed to enhance data integration and interoperability. Based on the TCM Intelligent Computing Platform of the China Academy of Chinese Medical Sciences, we trained the YiYuan LLMs to acquire domain-specific semantic understanding of TCM, thereby improving the platform’s comprehension of specialized terminology and knowledge systems. Leveraging the natural language processing capabilities of the LLMs, we developed a human-in-the-loop data processing system to enable efficient extraction, cleansing, and structured organization of TCM data. In addition, utilizing Vue and Java technologies, we developed multiple LLM-powered intelligent agents and systems, including a human-in-the-loop data processing system, as well as automated prescription mining and network pharmacology analysis agents. Task-specific agents tailored to TCM data processing were developed to enhance the model’s effectiveness in clinical knowledge discovery. System functionality and platform infrastructure were implemented using Java and Vue technologies.The TCM Data Hub platform has completed system construction and core functionality implementation. It supported integrated management and efficient access to 8 key types of TCM data: prescriptions, materia medica, ingredients, targets, diseases (Western medicine), diseases (TCM), syndromes, and therapeutic methods. The human-in-the-loop data processing system achieved an accuracy of 95.34% in structuring TCM data and supported annotation for data requiring manual labeling. The intelligent agent-driven big-data analytics module enabled 1-click, end-to-end workflows for TCM prescription mining, herb-syndrome association analysis, network pharmacology, and molecular biology research, completing a full data mining task in approximately 30 minutes. Users can interact with and manipulate data through a visual front-end interface. The system demonstrated stable performance, strong scalability, and a user-friendly experience. Empowered by the YiYuan LLMs, the TCM Data Hub platform significantly improves the accessibility, usability, and intelligence of TCM data. It effectively bridges traditional TCM knowledge with modern intelligent technologies, providing robust data support and intelligent tools for TCM research and clinical applications.

Background The crude mortality rate of sudden death has shown a steady upward trend. Pudong New Area, Shanghai, is a highly urbanized and densely populated district that is substantially affected by the urban heat island effect and has experienced frequent extreme temperature events in recent years. However, evidence on the association between ambient temperatures and sudden death among local residents remains limited. Objective To examine the association between daily mean temperature and sudden death in Pudong New Area, and to provide evidence for reducing temperature-related risks of sudden death. Methods Data on sudden death, meteorological factors (daily average temperature, daily average relative humidity, and daily average air pressure), and air pollutants [inhalable particulate matter (PM₁₀), sulfur dioxide (SO₂), and nitrogen dioxide (NO₂)] in Pudong New Area from 2016 to 2021 were collected. A distributed lag non-linear model was used to examine the associations of daily mean temperature with total sudden death and sudden death due to cardiovascular and cerebrovascular diseases, including lagged and cumulative effects (lag0, 0-3, 0-7, 0-14, and 0-21 d). Stratified analyses were performed by sex, age, and education level to identify vulnerable populations. The temperature attributable burden of sudden death was assessed by calculating attributable number (AN) and attribute fraction (AF). Results A total of 19458 sudden deaths were reported in Pudong New Area from 2016 to 2021, of which 11082 (56.95%) were due to cardiovascular and cerebrovascular diseases. Both low (P₅, 4.6 ℃) and high (P₉₅, 30.2 ℃) temperatures were associated with increased risks of sudden death. The cumulative risks associated with low temperature peaked at lag 0-21 d for both total sudden death and sudden death due to cardiovascular and cerebrovascular diseases. In contrast, the cumulative risks associated with high temperature peaked at lag 0-7 d for total sudden death and at lag 0-3 d for sudden death due to cardiovascular and cerebrovascular diseases. Stratified analyses showed that females, individuals aged ≥65 years, and those with primary school education or below were more sensitive to low temperature; whereas females, individuals aged <65 years, and those with secondary school education or above were more sensitive to high temperature. Using 21.5 ℃ as the minimum mortality temperature, the AN of total sudden deaths attributable to non-optimal temperature was 3791 (95%CI: 1853, 5587), with an AF of 20.41% (95%CI: 9.47%, 28.94%); the AN attributable to low temperature was 3358 (95%CI: 1087, 5062), with an AF of 17.26% (95%CI: 5.89%, 26.01%), whereas the AN attributable to high temperature was 225 (95%CI: −274, 655), with an AF of 2.03% (95%CI: −2.53%, 5.78%). For sudden deaths due to cardiovascular and cerebrovascular diseases, the AN attributable to non-optimal temperature was 2721 (95%CI: 1747, 5575), with an AF of 24.55% (95%CI: 9.59%, 28.65%); the AN attributable to low temperature was 2496 (95%CI: 988, 3562), with an AF of 22.53% (95%CI: 8.97%, 32.41%), whereas the AN attributable to high temperature was 614 (95%CI: −15, 1176), with an AF of 3.15% (95%CI: −0.08%, 6.02%). Conclusions Both low (P₅, 4.6 ℃) and high (P₉₅, 30.2 ℃) temperatures are associated with increased risks of sudden death in Pudong New Area, Shanghai. High temperature shows a relative short-term effect, whereas low temperature shows a stronger cumulative effect. Females, people ≥65 years, and individuals with primary school educational attainment or below are more vulnerable to low temperature, while females, people <65 years, and those with secondary school educational attainment or above are more vulnerable to high temperature. The attributable burden of low temperature is greater than that of high temperature. Targeted health protection measures should be strengthened for vulnerable populations during extreme temperature events.

ObjectiveTo construct a machine learning model combining two-dimensional shear wave elastography （2D-SWE） and serological markers， and to investigate its clinical value in differentiating primary biliary cholangitis （PBC） from overlap syndrome （OS）. MethodsA total of 199 patients with pathologically confirmed PBC or OS in Nantong Third People’s Hospital from January 2021 to December 2025 were retrospectively enrolled， with 125 patients in the PBC group and 74 in the OS group. The patients were randomly divided into a training set with 139 patients and a test set with 60 patients at a ratio of 7∶3. Related data were collected， including serological markers， conventional two-dimensional ultrasound parameters， and 2D-SWE parameters （including velocity of shear wave ［VS］ and liver fibrosis index ［LFI］）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. The univariate and multivariate Logistic regression analyses were used to identify independent predictive factors， which were then incorporated into six machine learning models， and 5-fold cross-validation was used for optimization of parameters. The indicators including the area under the receiver operating characteristic curve （AUC） were compared in the test set to determine the best model， and the SHapley additive exPlanations （SHAP） analysis was used for model interpretation. ResultsFemale patients accounted for 87.8% in the OS group and 79.2% in the PBC group. Compared with the PBC group， the OS group had significantly higher age， VS， LFI， splenic area， aspartate aminotransferase， total bilirubin， prothrombin time， immunoglobulin G （IgG）， and immunoglobulin M （Z=-2.883， -6.524， -4.000， -3.061， -2.194， -2.372， -4.079， -6.964， and -2.709， all P<0.05） and a significantly lower platelet count （Z=4.098， P<0.001）， and there were also significant differences between the two groups in the proportion of patients with positive anti-nuclear antibody， fibrosis stage， and inflammation grade （χ²=3.458， 63.198， and 101.038， all P<0.05）. Variables without multicollinearity were included in the regression analysis， and the multivariate Logistic regression analysis showed that VS （odds ratio ［OR］=4.503， 95% confidence interval ［CI］： 1.698 — 11.943， P=0.003）， LFI （OR=1.813， 95%CI： 1.050 — 3.132， P=0.033）， and IgG （OR=1.121， 95%CI： 1.026 — 1.226， P=0.012） were independent predictive factors for differentiating PBC from OS. Six machine learning models were constructed based on these variables， among which the logistic regression model showed the best predictive performance in the test set， with an AUC of 0.881 （95%CI： 0.788 — 0.974）， a sensitivity of 0.731， and a specificity of 0.794. The SHAP analysis showed that IgG contributed the most to model prediction. ConclusionThe noninvasive multimodal machine learning model combining 2D-SWE parameters （VS， LFI） and serum IgG can effectively differentiate PBC from OS， providing a reference for clinical decision-making regarding the need for liver biopsy.

Objective The study aimed to compare the efficacy and safety of tislelizumab combined with chemotherapy versus pembrolizumab combined with chemotherapy as first-line treatments for advanced lung squa-mous cell carcinoma.Methods We retrospectively reviewed and analyzed the medical records of 116 patients with advanced lung squamous cell carcinoma treated with first-line chemotherapy plus tislelizumab or pembrolizumab in Guangzhou Chest Hospital from September 2020 to April 2024.We focused on analysis of time to treatment failure(TTF)and objective response rate(ORR)as well as disease control rate(DCR)and treatment-related adverse events(TRAEs).Results At a median follow up of 19.7 monyhs,the median TTF was 9.7 months in the tislelizumab group and 7.7 months in the pembrolizumab group(P<0.05).In addition,the ORR in the tislelizumab group was significantly higher than that in the pembrolizumab group(77.6%vs.60.3%,P<0.05),with DCRs of 93.1%and 87.9%,respectively(P=0.342).Regarding safety,the proportions of grade 3 or higher TRAEs and any-grade TRAEs were comparable between the two groups:29.3%and 81.0%in the tislelizumab group,and 32.8%and 87.9%in the pembrolizumab group,respectively.The most common TRAEs in both groups were hematological toxicities.Conclusions Tislelizumab plus chemotherapy demonstrated better efficacy and safety compared to pembrolizumab with chemotherapy as first-line treatment for Chinese patients with advanced lung squamous cell carcinoma.

Objective To investigate stress distributions of the knee joint at 0 and 15th day after anterior cruciate ligament reconstruction(ACLR)under a compressive force through the axis of the femoral shaft onto the proximal femur.Methods A three-dimensional(3D)finite element model of the human knee joint incorporating viscoelastic material properties was developed.The one-dimensional(1D)Prony series viscoelastic constitutive model parameters for articular cartilage,menisci,ligaments,and anterior cruciate ligament(ACL)grafts were determined by fitting experimental creep curves.The viscoelastic parameters of ACL grafts at 15th day after ACLR surgery were extrapolated.Finite element simulations were then performed to analyze the von Mises stress distributions in knee ligaments,ACL grafts,articular cartilage,and menisci under 1.5 kN vertical downward compressive load applied to the femur,with loading durations of 1 second and 600 seconds.Results At 15th day after ACLR surgery,the initial relaxation modulus and equilibrium modulus of human ACL grafts remained elevated compared to native ACL tissues,resulting in a significantly higher stress concentration within the grafts relative to healthy ACL.Despite the compromised mechanical properties of the grafts after ACLR surgery,the vertical downward compressive force applied to the femur under both short-term(1s)and prolonged(600 s)loading durations,exhibited a minimal biomechanical impact on articular cartilage and meniscal structures.Conclusions Following ACLR,vertical compressive loads during weight-bearing rehabilitation exercises such as standing demonstrate minimal impact on articular cartilage and meniscus,while promoting fibrous regeneration of the graft.This renders such exercises a prudent early-stage rehabilitation strategy.Graft preparation requires balanced consideration of elastic and viscous properties,with grafts exhibiting higher relaxation modulus and viscosity coefficient than healthy ACL proving more effective in maintaining early postoperative knee stability.

Objective:To carry out a systematic review of the development, introduction or validation of drug literacy assessment tools for adults at home and abroad, and to summarize and analyze the characteristics of the assessment tools.Methods:The research framework of the scoping review was used to systematically search 8 Chinese and English databases, such as China National Knowledge Infrastructure, China Biology Medicine disc, PubMed, Web of Science, and Embase. The search period was from database establishment to October 31, 2023. Studies on adult drug literacy assessment tools were screened and included, tool characteristics were extracted and analyzed, and ultimately the extracts were standardized for reporting.Results:A total of 31 articles that met the criteria were included, of which 26 were on the development and validation of assessment tools, three were on the localization and application of assessment tools, and two were on the revision of assessment tools, covering 33 assessment tools.Conclusions:It is needed to recognize the importance of drug literacy assessment, actively explore the diversity of drug literacy assessment tools, clarify the limitations of existing drug literacy assessment tools, further improve the reliability and validity of existing tools, continue to develop and introduce assessment tools suitable for China's national conditions, so as to increase the accuracy of drug literacy assessment.

Objective To investigate stress distributions of the knee joint at 0 and 15th day after anterior cruciate ligament reconstruction(ACLR)under a compressive force through the axis of the femoral shaft onto the proximal femur.Methods A three-dimensional(3D)finite element model of the human knee joint incorporating viscoelastic material properties was developed.The one-dimensional(1D)Prony series viscoelastic constitutive model parameters for articular cartilage,menisci,ligaments,and anterior cruciate ligament(ACL)grafts were determined by fitting experimental creep curves.The viscoelastic parameters of ACL grafts at 15th day after ACLR surgery were extrapolated.Finite element simulations were then performed to analyze the von Mises stress distributions in knee ligaments,ACL grafts,articular cartilage,and menisci under 1.5 kN vertical downward compressive load applied to the femur,with loading durations of 1 second and 600 seconds.Results At 15th day after ACLR surgery,the initial relaxation modulus and equilibrium modulus of human ACL grafts remained elevated compared to native ACL tissues,resulting in a significantly higher stress concentration within the grafts relative to healthy ACL.Despite the compromised mechanical properties of the grafts after ACLR surgery,the vertical downward compressive force applied to the femur under both short-term(1s)and prolonged(600 s)loading durations,exhibited a minimal biomechanical impact on articular cartilage and meniscal structures.Conclusions Following ACLR,vertical compressive loads during weight-bearing rehabilitation exercises such as standing demonstrate minimal impact on articular cartilage and meniscus,while promoting fibrous regeneration of the graft.This renders such exercises a prudent early-stage rehabilitation strategy.Graft preparation requires balanced consideration of elastic and viscous properties,with grafts exhibiting higher relaxation modulus and viscosity coefficient than healthy ACL proving more effective in maintaining early postoperative knee stability.

Objective:To explore the alterations in gray matter morphology and contributing factors in patients with post-infectious olfactory dysfunction (PIOD) using voxel-based morphometry (VBM) and surface-based morphometry (SBM), thereby providing scientific insights into the neuropathological mechanisms underlying PIOD.Methods:A total of 46 PIOD patients (PIOD group) and 46 normosmic volunteers (control group) were recruited from the Smell and Taste Disorders Clinic of Beijing Anzhen Hospital, Capital Medical University, between January 2020 and December 2024. All participants underwent olfactory psychophysical tests (Sniffin′ Sticks) and olfactory event-related potential (oERP) examination. High-resolution T1-weighted 3D MRI structural images were obtained for both groups. VBM was employed to analyze inter-group differences in gray matter volume, while SBM was used to assess cortical thickness and folding index. Correlations between gray matter volume in significant difference brain regions and disease duration, Sniffin′ Sticks scores, oERP parameters were analyzed. A two-tailed P<0.05 was considered statistically significant. Results:No significant differences were observed in age, sex, education level, or Mini-Mental State Examination (MMSE) scores ( t=1.80, χ2=0.41, t=0.17, t=1.77, all P>0.05). Compared with controls, the PIOD group showed significantly lower Sniffin′ Sticks scores ( t=28.70, P<0.001), prolonged oERP latencies and reduced amplitudes (all P<0.001). VBM revealed significantly reduced gray matter volume in the right orbitofrontal cortex (OFC) in the PIOD group ( t=5.38, P<0.001). SBM demonstrated decreased cortical thickness in the right OFC ( t=5.27, P<0.001), with no significant differences in folding index. The gray matter volume in the right OFC was negatively correlated with disease duration ( r=-0.61, P<0.001), but no significant correlations were found with Sniffin′ Sticks scores or oERP parameters. Conclusion:Patients with PIOD show atrophy in the right OFC, which correlates with disease duration, suggesting that persistent olfactory dysfunction may be associated with neurodegenerative changes.

[Purpose]To analyze the trends in pancreatic cancer mortality and disease burden among residents in Shanghai Pudong New Area from 2002 to 2022,and to investigate the effects of age,period,and birth cohort on mortality risk.[Methods]Data on pancreatic cancer deaths among residents of Pudong New Area from 2002 to 2022 were collected through the Shanghai Population Cause of Death Registration System.The crude mortality rate,age-standardized mortality rate by Chinese standard population(ASMRC),potential years of life lost(PYLL),potential years of life lost rate(PYLLR),and average years of life lost(AYLL)were calculated.Joinpoint regression was applied to calculate the average annual percentage change(AAPC)for analyzing the changing trend of the mortality rate of pancreatic cancer.The age-period-cohort model was applied with R 4.4.1 to analyze the age,period,and cohort effects on the mortality risk of pancreatic cancer.[Results]The crude mortality rate of pancreatic cancer among residents in Pudong New Area increased from 10.42/105 in 2002 to 18.73/105 in 2022,showing a significant upward trend(AAPC=2.90％,P＜0.001);the ASMRC was generally stable(AAPC=-0.05％,P=0.775).The crude mortality rate of males(17.09/105)was higher than that of females(13.75/105),and both showed an upward trend(AAPC=3.05％and 2.75％respectively,both P＜0.001).After the age of 40,the mortality rate of pancreatic cancer increased significantly with the growth of age in both sexes.The PYLL was 31 347 person-years,showing an upward trend(AAPC=1.83％,P＜0.001),and the AYLL was 3.59 years,showing a downward trend(AAPC=-2.45％,P＜0.001).The age effect showed that the mortality risk of pan-creatic cancer was increased with age;the period effect showed that the mortality risk decreased from 2002 to 2016 and then increased;the cohort effect showed that the mortality risk increased with the advancement of the birth cohort.[Conclusion]From 2002 to 2022,the crude mortality rate of pancreatic cancer in Pudong New Area showed an upward trend,and the mortality rate of males was higher than that of females.The mortality risk of pancreatic cancer increases with age,and the later the birth year of the residents,the higher the mortality risk.Early screening should be strengthened for men and the elderly,environmental and lifestyle risk factors should be paid attention to in combination with the characteristics of cohort effect,and the prevention and control strategy for the whole population should be optimized.