ObjectiveTo evaluate the public health governance capacity in Jiangsu Province and provide an optimized pathway for the construction of a “strong, rich, beautiful, and high-quality” new Jiangsu. MethodsA total of 806 policy documents, 658 public information reports, and 148 research literatures related to public health governance capacity in Jiangsu Province from January 1995 to December 2023 were collected. The status of current public health goverance was assessed based on the evaluation criteria suitable for public health systems, and the strengths and the weaknesses of the system were identified. ResultsThe public health governance capability of Jiangsu Province was scored at 738.3 points, ranking 3rd nationally. Maternal health care and emergency response capacities achieved leading positions nationwide, both ranking 2nd. Jiangsu had exhibited a standardized guidance in the strategic level, a well-established management mechanism, an extensive coverage in information collection, and a scientifically established health targets setting. However, bottlenecks remained, including an unclear division of responsibilities across organizational departments, an insufficient public-health workforce, the absence of a stable growth mechanism for government funding investment, and difficulties in promptly identifying public needs. ConclusionJiangsu’s public-health system demonstrates leading nationally, yet several components remain underdeveloped. Future efforts should consolidate advantages while addressing weaknesses, further diversify content and forms, establish a stable funding increase mechanism, and clarify departmental functions, thereby providing solid health support for realizing the developmental goals of a “strong, rich, beautiful and high-quality” new Jiangsu.

ObjectiveTo systematically assess the public health governance capacity in Zhejiang Province, to conduct an in-depth analysis of its strengths and weaknesses, so as to provide scientific basis and strategic recommendations for further enhancement. MethodsA systematic collection of policy documents, public information reports, and research literature related to public health governance capacity in Zhejiang Province from 2002 to 2023 was conducted (encompassing a total of 1 263 policy documents, 138 pieces of information reports and 631 research articles). Based on the evaluation criteria suitable for public health systems previously developed by the research team, the basic status and magnitude of change in public health governance capacity in Zhejiang Province was evaluated. Additionally, normative gap analyses were employed to identify the strengths and weaknesses. ResultsZhejiang Province ranked 4th nationwide in terms of public health governance capacity with a score of 733.4 points (1 000.0-point maximum). The province has effectively implemented the principle of health first (scoring 698.5 points in the assessment of health-first strategy implementation) and attached sufficient importance to health-related goals (scoring 658.2 points in the scientific rationality of goal setting). However, the implementation of inter-departmental coordination and incentive mechanisms only scored 178.7 points, the feasibility of management and monitoring mechanisms scored even lower at only 144.0 points, and the coverage of incentive mechanisms scored 286.0 points. ConclusionZhejiang Province has effectively implemented its health first strategy and attached great importance to health targets, but still needs to strengthen cross-departmental coordination mechanisms and health-oriented incentives.

Objective To investigate the expression of serum microRNA-204-5p(miR-204-5p)in patients with sudden deafness(SD)and its relationship with cochlear function and hearing prognosis.Methods A to-tal of 113 SD patients admitted to this hospital from October 2020 to October 2023 were selected as the case group.According to the hearing prognosis of SD patients,they were divided into a poor prognosis group(n=43)and a good prognosis group(n=70).Another 95 healthy people who underwent the physical examination were selected as the control group.Real-time fluorescent quantitative PCR and enzyme-linked immunosorbent assay were used to detect serum levels of miR-204-5p and endothelin-1(ET-1),and the relationship between them and cochlear function was analyzed.Automatic hemorheology instrument was used to detect the hemo-dynamic parameters.Multivariate Logistic regression was used to analyze the influencing factors of hearing prognosis in SD patients.Receiver operating characteristic(ROC)curve was used to analyze the predictive val-ue of serum miR-204-5p in hearing prognosis of SD patients.Results The serum levels of miR-204-5p and ET-1 and hemodynamic parameters including plasma viscosity(PV),low-shear viscosity(LSV)and whole blood high-shear viscosity(HSV)in the case group were significantly higher than those in the control group(P<0.05).The incidence of cochlear dysfunction in the miR-204-5p high expression group was higher than that in the miR-204-5p low expression group(P<0.05).The levels of serum miR-204-5p,ET-1,PTA,HSV,LSV and PV in the poor prognosis group were significantly higher than those in the good prognosis group(P<0.05).HSV,LSV,PV,miR-204-5p and ET-1 were related factors affecting the hearing prognosis of SD patients(P<0.05).The area under the curve of serum miR-204-5p,ET-1 combined with hemodynamic pa-rameters to predict the hearing prognosis of SD patients was 0.976.It was better than that of each individual diagnosis(Zfive combination-HSV=3.464,Zfive combination-LSV=3.014,Zfive combination-PV=3.741,Zfive combination-miR-204-5p=3.476,Zfive combination-ET-1=2.829,P=0.001,0.003,<0.001,0.001,0.005).The sensitivity and specificity of combined prediction were 95.35%and 88.57%,respectively.Conclusion Serum miR-204-5p level is significantly in-creased in SD patients,which is closely related to cochlear function and hearing prognosis.Serum miR-204-5p and ET-1 levels combined with hemodynamic indicators have higher predictive efficiency for hearing prognosis in SD patients.

Objective: To investigate the role and mechanism of IQ motif containing GTPase activating protein 1 (IQGAP1) in oxygen-glucose deprivation/reoxygenation (OGD/R) -induced polarization of BV-2 microglia cells . Methods: The IQGAP1 overexpression plasmid ( oe-IQGAP1 ) and its negative control plasmid ( Vector) were transfected into BV-2 cells , and then the polarization of BV-2 cells was induced by OGD/R , and exogenous inter- feron-γ(IFN-γ) recombinant protein was used for intervention . Cell proliferation rate was detected by cell counting kit-8 (CCK-8) assay. The level of lactate dehydrogenase (LDH) in the supernatant was detected using a test kit. The mRNA expression levels of IQGAP1 , IFN-γand microglial polarization markers inducible nitric oxide synthase (iNOS) , CD86 , CD206 and arginase1 (Arg1) were detected by quantitative real-time polymerase chain reaction (RT-qPCR) . The levels of IFN-γ, tumor necrosis factor-α(TNF-α) , interleukin (IL)-1β, IL-4 and IL-10 in the cell supernatant were detected by enzyme-linked immunosorbent assay (ELISA) . The protein expression levels of IQGAP1 and IFN-γwere detected by Western blot. Results: Following OGD/R treatment , the proliferation rate of BV-2 cells , the levels of IL-4 and IL-10 in the supernatant , and the mRNA expression levels of CD206 and Arg1 were significantly reduced (all P < 0. 05) . In contrast , the levels of LDH , TNF-αand IL-1βin the supernatant , as well as the mRNA expression levels of iNOS and CD86 in the cells significantly increased (all P < 0. 05) . More- over , both the mRNA and protein expression levels of IQGAP1 in the cells significantly decreased ( P < 0. 05) . Following IQGAP1 overexpression , the levels of IL-4 and IL-10 in the supernatant of BV-2 cells , along with the mRNA expression levels of CD206 and Arg1 in the cells , were significantly elevated under OGD/R conditions (all P < 0. 05) . Meanwhile , the levels of TNF-αand IL-1βin the supernatant and the mRNA expression levels of iNOS and CD86 in the cells significantly decreased (all P < 0. 05) . Additionally , both the intracellular expression and secretion of IFN-γprotein were reduced ( all P < 0. 05) , whereas the mRNA expression of IFN-γremained un- changed . However , combined intervention with exogenous IFN-γrecombinant protein obviously reversed the inhibi- tory effect of IQGAP1 overexpression on OGD/R-induced M1 polarization of microglia. Conclusion IQGAP1 over- expression inhibits M1 polarization of microglia under OGD/R conditions through the suppression of IFN-γexpres- sion and secretion .

Objective To explore the application value of artificial intelligence in medical research assistance, and analyze the key paths to achieve precise execution of model instructions, improvement of model interpretation completeness, and control of hallucinations. Methods Taking esophageal cancer research as the scenario, five types of literature including research articles, case reports, reviews, editorials, and guidelines were selected for model interpretation tests. The model performance was systematically evaluated from five dimensions: recognition accuracy, format accuracy, instruction execution accuracy, content reliability rate, and content completeness index. The performance differences of Ruibin Agent, GPT-4o, Claude 3.7 Sonnet, DeepSeek V3, and DouBao-pro models in medical literature interpretation tasks were compared. Results A total of 15 studies were included, with 3 studies of each type. The five models collectively conducted 1 875 tests. Due to the poor recognition accuracy of the editorial type, the overall recognition accuracy of Ruibin Agent was significantly lower than other models (92.0% vs. 100.0%, P＜0.001). In terms of format accuracy, Ruibin Agent was significantly better than Claude 3.7 Sonnet (98.7% vs. 92.0%, P=0.002) and GPT-4o (98.7% vs. 78.9%, P＜0.001). In terms of instruction execution accuracy, Ruibin Agent was better than GPT-4o (97.3% vs. 80.0%, P＜0.001). In terms of content reliability rate, Ruibin Agent was significantly lower than Claude 3.7 Sonnet (84.0% vs. 92.0%, P=0.010) and DeepSeek V3 (84.0% vs. 94.7%, P＜0.001). In terms of content completeness index, the median scores of Ruibin Agent, GPT-4o, Claude 3.7 Sonnet, DeepSeek V3, and DouBao-pro were 0.71, 0.60, 0.85, 0.74, and 0.77, respectively. Conclusion Ruibin Agent has significant advantages in terms of formatted interpretation of medical literature and instruction execution accuracy. In the future, it is necessary to focus on optimizing the recognition ability of editorial types, strengthening the coverage ability of core elements of various types of literature to improve interpretation completeness, and improving content reliability through optimizing the confidence mechanism to ensure the rigor of medical literature interpretation.

BACKGROUND:Osteoporotic vertebral fractures are the most common complication in patients with osteoporosis.As a new imaging technique,spine magnetic resonance imaging(MRI)is much more sensitive than X-ray film in the diagnosis of osteoporotic vertebral fractures.However,total spine MRI is costly and takes a long time to scan.Therefore,there is no consensus on whether all patients with osteoporotic vertebral fractures need to undergo total spine MRI scan and which patients need to undergo total spine MRI. OBJECTIVE:To analyze the distribution characteristics of vertebral fractures and explore their clinical significance by observing the whole spine MRI data of osteoporotic vertebral fractures patients. METHODS:Data of cases and MRI images of all patients diagnosed with fresh osteoporotic vertebral fractures who visited the Department of Orthopedics,Affiliated Hospital of Southwest Medical University from August 2018 to September 2022 were retrospectively analyzed.903 patients were included in the study based on inclusion and exclusion criteria.General information(age,gender,and body mass index),medical history characteristics(duration of illness,history of trauma surgery,percussion pain area,and pain score)were collected.The characteristics of vertebral fractures were analyzed through whole spine magnetic resonance imaging.Firstly,based on the number of vertebral fractures in patients,they were divided into the single vertebral fracture group(484 cases)and the multi-vertebral fracture group(419 cases),and the differences were analyzed between the two groups.Then,based on whether the farthest interval between the fractured vertebrae was greater than or equal to 5,the multi vertebral fracture group was further divided into two subgroups.Among them,Group A(the farthest interval between the fractured vertebrae was less than 5)contained 306 cases;Group B(with the farthest interval between fractured vertebral bodies greater than 5)included 113 cases.The differences were analyzed between two subgroups. RESULTS AND CONCLUSION:(1)Among 903 patients,419 patients(46.4%)had more than two fractured vertebrae.There were 654 patients(72.4%)with thoracolumbar fractures,and 54 patients(6%)with fractures in the thoracic plus lumbar region and the entire thoracic to lumbar region.In group B,96.5%of patients had multiregional percussion pain.(2)Compared with the patients in the single vertebral fracture group and the multi-vertebral fracture group,there were significant differences in bone mineral density,whether the medical history was greater than or equal to 1 month,the history of low energy injury,and the distribution and number of axial percussion pain areas in the spine during physical examination between the two groups(P<0.05).Age,gender,body mass index,whether there was underlying disease,pain visual analog scale score,whether there was a history of elderly thoracolumbar fracture,and whether there was a history of thoracolumbar surgery,and the number of fractured vertebrae had no statistical significance(P>0.05).(3)There were statistically significant differences between the Groups A and B in bone mineral density,the distribution and quantity of percussion pain area,and the history of low energy injury(P<0.05).There were no significant differences in age,gender,history of old fractures,visual analog scale score,body mass index,whether the medical history was longer than or equal to 1 month,history of underlying diseases,and history of thoracolumbar surgery between the two groups(P>0.05).(4)Patients with multiple low-energy trauma history,history of more than 1 month,multiple percussion pain,and the lower bone mineral density should be alert to the occurrence of multiple vertebral fracture and jump fracture.We recommend the whole spinal MRI for these patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective To investigate the demand for postoperative follow-up care services among patients after outpatient surgery,to optimize the care service process,and to enhance the quality of outpatient care,so as to ensure timely and effective follow-up care after outpatient surgery and improve their satisfaction and rehabilitation outcomes.Methods A total of 156 patients who underwent outpatient surgical procedures at Navy 971 Hospital from January 2023 to December 2023 were enrolled as research subjects through convenient sampling.A self-designed questionnaire was used to investigate the general information of patients,their demand for postoperative follow-up care,and the recognition of follow-up care forms.The questionnaires were distributed and collected by professional personnel of the outpatient surgery room.The related service items of follow-up care were statistically analyzed using percentages and descriptive analysis.Results Of the 156 questionnaires distributed,all(100%)were returned and valid.Among the patients undergoing outpatient surgery,91.7%required follow-up care services.The follow-up care services with the highest demand among naval vessel personnel were self-observation and care guidance for wounds(90.4%),seeking help for wound discomfort(86.5%),and postoperative follow-up and health education(75.6%).The most recognized forms of follow-up care services were telephone follow-up(88.5%),remote consultation(76.3%),and on-site visits by medical teams(62.2%).Conclusion There is a high demand for follow-up care services among patients after outpatient surgery.Hospitals should establish a complete follow-up care service model and care teams based on the actual needs of patients and the requirements of health education,and formulate personalized follow-up care plans.

Objective To develop an artificial intelligence (AI)-driven lung cancer database by structuring and standardizing clinical data, enabling advanced data mining for lung cancer research, and providing high-quality data for real-world studies. Methods Building on the extensive clinical data resources of the Department of Thoracic Surgery at Peking Union Medical College Hospital, this study utilized machine learning techniques, particularly natural language processing (NLP), to automatically process unstructured data from electronic medical records, examination reports, and pathology reports, converting them into structured formats. Data governance and automated cleaning methods were employed to ensure data integrity and consistency. Results As of September 2024, the database included comprehensive data from 18 811 patients, encompassing inpatient and outpatient records, examination and pathology reports, physician orders, and follow-up information, creating a well-structured, multi-dimensional dataset with rich variables. The database’s real-time querying and multi-layer filtering functions enabled researchers to efficiently retrieve study data that meet specific criteria, significantly enhancing data processing speed and advancing research progress. In a real-world application exploring the prognosis of non-small cell lung cancer, the database facilitated the rapid analysis of prognostic factors. Research findings indicated that factors such as tumor staging and comorbidities had a significant impact on patient survival rates, further demonstrating the database’s value in clinical big data mining. Conclusion The AI-driven lung cancer database enhances data management and analysis efficiency, providing strong support for large-scale clinical research, retrospective studies, and disease management. With the ongoing integration of large language models and multi-modal data, the database’s precision and analytical capabilities are expected to improve further, providing stronger support for big data mining and real-world research of lung cancer.

This study selected 6 529 plant-based Chinese materia medica(PCMM) from Chinese Materia Medica as research subjects and applied a random permutation test to explore the overall correlation characteristics between nature and flavor, as well as the correlation characteristics after distinguishing different medicinal parts and harvest seasons. The results showed that the overall correlation characteristics between nature and flavor in PCMM were significantly associated in the following pairs: cold and bitter, cool and bitter, cool and astringent, cool and light, neutral and sweet, neutral and astringent, neutral and light, neutral and sour, hot and pungent, and warm and pungent. When analyzing the data by distinguishing medicinal parts and/or harvest seasons, new correlation patterns emerged, characterized by the disappearance of some significant correlations and the emergence of new ones. When analyzing by medicinal parts alone, significant correlations were found in the following cases: cold and light in leaves, cold and salty in barks, cool and sweet in fruits and seeds, neutral and pungent in whole herbs, neutral and salty in stems, and warm and salty in flowers. However, no significant correlations were found between cool and bitter in stems and other types of herbs, cool and astringent in fruits, seeds, flowers, and other types of herbs, cool and light in leaves, fruits, seeds, barks, flowers and other types of herbs, neutral and sweet in barks, neutral and astringent in whole herbs and stems, neutral and light in leaves, fruits, seeds, and flowers, neutral and sour in whole herbs, stems, barks, flowers, and other types of herbs, and hot and pungent in whole herbs, stems, flowers, and other types of herbs. When analyzing by harvest season alone, significant correlations were found in the following cases: cold and salty, and cool and sour in herbs harvested in winter, and neutral and salty in herbs harvested year-round. However, no significant correlation was found between cool and light in herbs harvested in winter. When considering both medicinal parts and harvest seasons, compared to the independent influence of medicinal parts, 14 new significant correlations emerged(e.g., the correlation between cool and bitter in stems harvested in spring), while 53 previously significant correlations disappeared(e.g., the correlation between cool and bitter in barks harvested in summer). Compared to the independent influence of harvest seasons, 11 new significant correlations appeared(e.g., the correlation between cold and light in barks harvested in autumn), while 50 previously significant correlations disappeared(e.g., the correlation between hot and pungent in leaves harvested in winter). This study is the first to reveal the influence of medicinal parts and harvest seasons on the correlation between nature and flavor in PCMM, which highlights that these two factors can interact and jointly affect nature-flavor correlations. Further research is needed to explore the underlying mechanisms. This study provides a deeper understanding of the inherent scientific connotations of herbal properties and offers a theoretical foundation for the cultivation and harvesting of PCMM.
Seasons ; Plants, Medicinal/growth & development* ; Drugs, Chinese Herbal/chemistry* ; Taste