Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Exosomal circular RNA (circRNAs) are pivotal in cancer biology, and tumor pathophysiology. These stable, non-coding RNAs encapsulated in exosomes participated in cancer progression, tumor growth, metastasis, drug sensitivity and the tumor microenvironment (TME). Their presence in bodily fluids positions them as potential non-invasive biomarkers, revealing the molecular dynamics of cancers. Research in exosomal circRNAs is reshaping our understanding of neoplastic intercellular communication. Exploiting the natural properties of exosomes for targeted drug delivery and disrupting circRNA-mediated pro-tumorigenic signaling can develop new treatment modalities. Therefore, ongoing exploration of exosomal circRNAs in cancer research is poised to revolutionize clinical management of cancer. This emerging field offers hope for significant breakthroughs in cancer care. This review underscores the critical role of exosomal circRNAs in cancer biology and drug resistance, highlighting their potential as non-invasive biomarkers and therapeutic targets that could transform the clinical management of cancer.

To develop a milestone-based evaluation system for the core "knowledge and skills" competency of neurology residents that is tailored to China's medical context, so as to provide precise guidance for their training and assessment.

Objective: To establish a progressive research strategy for “colonic components analysis - efficacy verification and mechanism exploration - gut microbiota”, screen pharmacodynamic substances, and investigate their mechanism via gut microbiota. Methods: The pharmacodynamics of Gegen Qinlian decoction (GQD) were assessed using a mouse model of dextran sulfate sodium-induced ulcerative colitis (UC). Ultra-performance liquid chromatography-quadrupole-orbitrap mass spectrometer was used to identify the prototype and metabolic components of GQD in the colon during UC. To analyze the structure and function of characteristic genera of GQD and its active components, 16S rRNA sequencing was performed. Results: We identified 67 prototypic and 14 metabolic components of GQD in the UC colon. The primary prototype components are flavonoids and alkaloids, including puerarin (PUE), baicalin (BAI), and berberine (BER). The metabolism was predominantly sulfonation. Efficacy verification showed that the main active components, puerarin, baicalin, and berberine, had good therapeutic effects on UC. The results of 16S rRNA gene sequencing showed that GQD improved UC by regulating the structure and function of the gut microbiota. The abundance of gut microbiota involved in the metabolism of the prototype components was influenced by the corresponding components. The function prediction results showed that PUE was the most comparable to GQD, with 24 consistent pathways. BAI and BER showed comparable gut microbiota regulation pathways. Characteristic pathways of BER include glucometabolic processes. Conclusion This study focused on the key issues in the gut microbiota pathway and developed a progressive research strategy to understand the transformation mechanisms of colonic components. This research systematically analyzed the active components and metabolic transformation of GQD in the colon during the pathological state of UC, as well as changes in the structure and function of the gut microbiota, clarified the mechanism of GQD and its active components in improving UC via the gut microbiota pathway.

Objective: To investigate the correlations among clinicopathological features, histopathological growth patterns and prognosis of extrapulmonary multiple metastatic(stage ⅣB) pulmonary adenocarcinoma with epidermal growth factor receptor(EGFR) mutations. Methods : A total of 488 eligible patients with adenocarcinoma of stage ⅣB. Clinicopathological data,EGFRgene mutation subtypes, metastatic sites, histopathological growth patterns and survival information were collected. The chi-square test(χ2test) and Fisher's exact probability method were used to detect the correlation between the metastasis status and various clinical characteristics; the Kaplan-Meier method was used to conduct survival analysis on the median Progression-Free Survival(PFS) under different clinical characteristics. Cox univariate and multivariate regression analyses were conducted to evaluate the impact of various clinical characteristics on prognosis. Results : The metastatic patterns of stage ⅣB pulmonary adenocarcinoma withEGFRmutations was correlated with histopathological growth patterns(P<0.05). In the group with multiple metastases in a single organ, the proportion of micropapillary type in the group with multiple metastases in a single organ was higher than that in the group with multiple-organ metastases(51.1%vs41.1%), while the proportion of solid type in the group with multiple-organ metastases was higher than that in the group with multiple metastases in a single organ(23.8%vs14.2%). Multiple brain or multiple bone metastases were correlated with histopathological growth patterns and tumor differentiation degree. Compared with the multiple bone metastases group, the proportion of acinar type decreases in the multiple brain metastasis group, while the proportion of micropapillary type increased. Moreover, the proportion of poorly differentiated tumors increased significantly(P<0.05). Compared with multiple bone metastases, the proportion of poorly differentiated tumors significantly increases in the group with multiple brain metastases. The median progression-free survival(PFS) of patients with a predominant solid growth pattern was shorter than that of patients with other growth patterns(12.7 monthsvs17.8 months,P<0.05). The PFS of patients in the poorly differentiated group was worse than that in the moderately differentiated group(15.6 monthsvs17.8 months,P<0.05). There were significant differences in PFS among patients with common sensitive mutations and rare mutationsEGFR(17.3 monthsvs10.2 months,P<0.01). Cox proportional hazards regression model suggested that solid growth pattern, poor differentiation and rare single gene mutation were adverse prognostic factors. Conclusion In stage ⅣB pulmonary adenocarcinoma patients withEGFRmutations, both the metastatic patterns and metastatic sites are significantly correlated with the histopathological growth patterns of tumors. Moreover, theEGFRmutation subtypes as well as the histopathological growth patterns and differentiation degree of tumors significantly affect the prognosis of patients.

Objective To explore the potential pathogenic genes of intestinal metaplasia.Methods Twenty-one patients with intestinal metaplasia admitted to the Department of Gastroenterology at the Second Affiliated Hospital of Anhui University of Chinese Medicine from January,2022 to June,2022,and 21 healthy subjects undergoing gastroscopic examination during the same period were enrolled in this study.All the participants underwent gastroscopy and pathological examination,and gastric tissue samples were collected for transcriptome sequencing to screen for differentially expressed genes(DEGs).The biological functions of the DEGs were analyzed using bioinformatics analysis,and qRT-PCR was used to validate the results.Results Transcriptomic sequencing identified a total of 1373 DEGs,including 827 upregulated and 546 downregulated ones.The top 6 upregulated genes(AGMAT,CCL25,FABP1,CDX1,SPINK4,and MUC2),ranked based on their significance and average expression level,were selected for validation,and qRT-PCR showed significant upregulation of their mRNAs in the gastric tissues of patients with intestinal metaplasia(P<0.05).Conclusion AGMAT,CCL25,FABP1,CDX1,SPINK4,and MUC2 participate in the occurrence and development of intestinal metaplasia,and may serve as potential biomarkers for diagnosing intestinal metaplasia.

Objective·To analyze the clinicopathologic characteristics of patients with kidney-involved diffuse large B-cell lymphoma(DLBCL),including clinical characteristics,pathological characteristics,gene mutation profiles,and prognostic factors.Methods·One hundred and forty-nine patients with kidney-involved DLBCL,admitted to Ruijin Hospital,Shanghai Jiao Tong University School of Medicine from July 2005 to November 2021,were retrospectively analyzed for their clinicopathological data,survival and prognostic factors,which included therapeutic methods,clinical outcomes,staging,etc.Gene mutation profiles were evaluated by targeted sequencing of 54 lymphoma-related genes.Prognostic factors were also analyzed based on the information mentioned above.Results·A total of 149 kidney-involved DLBCL cases were included,of which 89 patients(58.4%)were aged over sixty,121 patients(81.2%)were staged Ann Arbor Ⅲ?Ⅳ,27 patients(18.1%)had an Eastern Cooperative Oncology Group(ECOG)performance status of two or more,121 patients(81.2%)had elevated serum lactate dehydrogenase(LDH)level,111 patients(74.5%)had extranodal invasion in at least two organs and 131 patients(87.9%)scored over 2 points on the international prognosis index(IPI).The estimated 5-year overall survival(OS)rate and progression-free survival(PFS)rate of kidney-involved DLBCL patients were 52.2%and 50.4%respectively.Univariate analysis revealed that elevated serum LDH levels were an adverse prognostic factor for both OS(P=0.048)and PFS(P=0.033).In pathological characteristics,145 patients(97.3%)belonged to DLBCL,not otherwise specified(NOS)and 39 patients(26.3%)belonged to germinal center B-cell(GCB)according to Hans classification.Among 144 patients who could be evaluated for clinical outcomes,87 patients(60.4%)got complete response(CR).Targeted sequencing data from 75 kidney-involved DLBCL patients showed high mutation frequency in PIM1(n=23,31%),MYD88(n=22,29%),CD79B(n=21,28%)and KMT2D(n=18,24%),with CD79B mutation indentified as an adverse prognostic factor for OS in patients with kidney-involved DLBCL(P=0.034).Conclusion·Elevated serum LDH level is an adverse prognostic factor in patients with kidney-involved DLBCL.The prognosis of patients with CD79B mutations is poor.

Objective To explore the potential pathogenic genes of intestinal metaplasia.Methods Twenty-one patients with intestinal metaplasia admitted to the Department of Gastroenterology at the Second Affiliated Hospital of Anhui University of Chinese Medicine from January,2022 to June,2022,and 21 healthy subjects undergoing gastroscopic examination during the same period were enrolled in this study.All the participants underwent gastroscopy and pathological examination,and gastric tissue samples were collected for transcriptome sequencing to screen for differentially expressed genes(DEGs).The biological functions of the DEGs were analyzed using bioinformatics analysis,and qRT-PCR was used to validate the results.Results Transcriptomic sequencing identified a total of 1373 DEGs,including 827 upregulated and 546 downregulated ones.The top 6 upregulated genes(AGMAT,CCL25,FABP1,CDX1,SPINK4,and MUC2),ranked based on their significance and average expression level,were selected for validation,and qRT-PCR showed significant upregulation of their mRNAs in the gastric tissues of patients with intestinal metaplasia(P<0.05).Conclusion AGMAT,CCL25,FABP1,CDX1,SPINK4,and MUC2 participate in the occurrence and development of intestinal metaplasia,and may serve as potential biomarkers for diagnosing intestinal metaplasia.

Objective to explore the use of performance management as a lever in public hospitals to achieve quality improvement,efficiency enhancement,and high-quality development under the dual influences of na-tional civil service examination and Diagnosis-Related Groups(DRGs)payment policy reform.Methods A questionnaire survey was conducted to summarize the current situation and problems of performance assessment in public hospitals in China.Based on the identified problems,an upgraded performance management system was proposed,and key indicators were selected through a case study in a specific hospital.Results An empirical study in a specific hospital demonstrated the positive effects of the upgraded performance management system on hospital management improvement.Conclusion Public hospitals should establish a long-term mechanism for performance management,focusing on organizational positioning,indicator design,management levers,and talent development,to continuously support high-quality development.

In the field of healthcare service, it is crucial to optimize medical innovation services by combining the preferences of health service providers and demanders (i.e., stakeholders). The best-worst scaling (BWS) method is a recently developed stated preference method for assessing preferences with distinctive advantages. Nevertheless, there is a lack of a comprehensive introduction to stakeholder preference assessment using BWS, thus constraining its applications and promotion. This paper introduces the process of using BWS to assess service providers' preferences for the Shared Medical Appointment for diabetes (SMART), an integrated healthcare service of medicine and health management, in the hope of providing reference for researchers for promoting the use of BWS in implementation research.