ObjectiveTo explore the mechanisms of action of Ganlu Xiaodu Dan in treating viral pneumonia by combining network pharmacology and molecular docking with in vivo experimental validation. MethodsNetwork pharmacology and molecular docking were used to predict the core components， target genes， and major pathways of Ganlu Xiaodu Dan. Molecular docking was then applied to verify the interactions between the core components and key targets. Sixty male C57BL/6 mice were randomly divided into six groups （n = 10 per group）， including blank， model， dexamethasone， and Ganlu Xiaodu Dan low-， medium-， and high-dose groups. The blank and model groups were gavaged with physiological saline （10 mL·kg^-1） every 12 h. The dexamethasone group received intraperitoneal injections of dexamethasone （5 mg·kg^-1）. The low-， medium-， and high-dose groups of Ganlu Xiaodu Dan were gavaged with solutions at concentrations of 7.2， 14.4， and 21.6 g·kg^-1， respectively， every 12 h. Lung wet/dry weight ratio （W/D） was measured. Hematoxylin-eosin （HE） staining was used to observe pathological changes in lung tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to determine the expression levels of tumor necrosis factor-α （TNF-α）， interleukin （IL）-17， and IL-1β in bronchoalveolar lavage fluid （BALF）. Western blot was performed to detect the expression of phosphoinositide 3-kinase （PI3K） and protein kinase B （Akt） in lung tissue for further validation. ResultsTwelve potential active components of Ganlu Xiaodu Dan were identified through network pharmacology. A total of 306 overlapping target genes were obtained between Ganlu Xiaodu Dan and viral pneumonia. PPI network analysis identified the top 20 key targets， and GO and KEGG enrichment analyses revealed the top 20 signaling pathways. An “active component–target–pathway” network was constructed. Molecular docking demonstrated strong affinity between the core components of Ganlu Xiaodu Dan and key targets related to viral pneumonia. In animal experiments， compared with the blank group， the model group showed severe bronchial epithelial damage， disordered alveolar structure， massive inflammatory cell infiltration， widened alveolar septa， and obvious interstitial edema. W/D， levels of IL-1β， TNF-α， and IL-17 in BALF， and protein expression of p-PI3K/PI3K and p-Akt/Akt in lung tissue were all significantly increased （P<0.05）. Compared with the model group， lung injury in the Ganlu Xiaodu Dan groups and the dexamethasone group was alleviated. W/D and TNF-α levels were significantly decreased （P<0.05）. IL-1β and IL-17 levels were significantly reduced in the medium- and high-dose groups and the dexamethasone group， and the protein expression levels of p-PI3K/PI3K and p-Akt/Akt in lung tissue were significantly decreased （P<0.05）. ConclusionGanlu Xiaodu Dan can alleviate lung injury in viral pneumonia by suppressing the inflammatory response， and its mechanism may be related to the inhibition of PI3K/Akt pathway activation.

ObjectiveTo explore the mechanisms of action of Ganlu Xiaodu Dan in treating viral pneumonia by combining network pharmacology and molecular docking with in vivo experimental validation. MethodsNetwork pharmacology and molecular docking were used to predict the core components， target genes， and major pathways of Ganlu Xiaodu Dan. Molecular docking was then applied to verify the interactions between the core components and key targets. Sixty male C57BL/6 mice were randomly divided into six groups （n = 10 per group）， including blank， model， dexamethasone， and Ganlu Xiaodu Dan low-， medium-， and high-dose groups. The blank and model groups were gavaged with physiological saline （10 mL·kg^-1） every 12 h. The dexamethasone group received intraperitoneal injections of dexamethasone （5 mg·kg^-1）. The low-， medium-， and high-dose groups of Ganlu Xiaodu Dan were gavaged with solutions at concentrations of 7.2， 14.4， and 21.6 g·kg^-1， respectively， every 12 h. Lung wet/dry weight ratio （W/D） was measured. Hematoxylin-eosin （HE） staining was used to observe pathological changes in lung tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to determine the expression levels of tumor necrosis factor-α （TNF-α）， interleukin （IL）-17， and IL-1β in bronchoalveolar lavage fluid （BALF）. Western blot was performed to detect the expression of phosphoinositide 3-kinase （PI3K） and protein kinase B （Akt） in lung tissue for further validation. ResultsTwelve potential active components of Ganlu Xiaodu Dan were identified through network pharmacology. A total of 306 overlapping target genes were obtained between Ganlu Xiaodu Dan and viral pneumonia. PPI network analysis identified the top 20 key targets， and GO and KEGG enrichment analyses revealed the top 20 signaling pathways. An “active component–target–pathway” network was constructed. Molecular docking demonstrated strong affinity between the core components of Ganlu Xiaodu Dan and key targets related to viral pneumonia. In animal experiments， compared with the blank group， the model group showed severe bronchial epithelial damage， disordered alveolar structure， massive inflammatory cell infiltration， widened alveolar septa， and obvious interstitial edema. W/D， levels of IL-1β， TNF-α， and IL-17 in BALF， and protein expression of p-PI3K/PI3K and p-Akt/Akt in lung tissue were all significantly increased （P<0.05）. Compared with the model group， lung injury in the Ganlu Xiaodu Dan groups and the dexamethasone group was alleviated. W/D and TNF-α levels were significantly decreased （P<0.05）. IL-1β and IL-17 levels were significantly reduced in the medium- and high-dose groups and the dexamethasone group， and the protein expression levels of p-PI3K/PI3K and p-Akt/Akt in lung tissue were significantly decreased （P<0.05）. ConclusionGanlu Xiaodu Dan can alleviate lung injury in viral pneumonia by suppressing the inflammatory response， and its mechanism may be related to the inhibition of PI3K/Akt pathway activation.

Objective To establish an intelligent ICD coding management system to solve the current difficulties in hos-pital ICD coding management,reduce the error rate of information uploading,and improve the accuracy of coding.Methods An ICD coding management system was constructed,with the national clinical version of ICD coding as the main index system.The mapping relationship between the main index coding and the medical insurance version of ICD coding,as well as the hospital ver-sion of ICD coding,was established to achieve real-time maintenance and adjustment.In accordance with the requirements of na-tional public hospital performance evaluation and hospital level assessment,we will establish the ICD coding"label"function and knowledge base for evaluation indicators,embed them into electronic medical record system(EMR),and implement intelligent prompting functions for clinicians to facilitate systematic statistical analysis of data.Results After the establishment of the sys-tem,the error rate of mapping and uploading information such as disease diagnosis and procedures coding decreased significantly(1.2‰ vs 0.3‰,P＜0.05).The accuracy of the main discharge diagnosis and procedures coding has significantly improved(82％vs 91％,P＜0.05;78％vs 88％,P＜0.05).The satisfaction of clinicians and coders increased significantly(65％vs 82％,P＜0.05;79％vs 88％,P＜0.05).Conclusion This system can reduce the error rate of mapping and uploading infor-mation,improve the accuracy and completeness of coding,enhance the management level of ICD coding,and promote the high-quality development of medical care.

To address the limitations of convolutional neural networks in global context modeling and the complexity of secondary computation in Transformer's self attention mechanism,an improved multi-direction-MambaUNet(MD-MambaUNet)based on MambaUNet is proposed.This network integrates with multi directional selective scanning module to extract spatial features from multiple directions of CT images,significantly improving the global context modeling capability.By introducing partial convolution and constructing a lightweight hybrid convolution module,the model's parameter count is significantly reduced,enabling the processing of large-scale medical image data at lower computational costs while maintaining high-level performance.Experiments are conducted on the LiTS2017 and 3DIRCADB public datasets.Compared with MambaUNet on the LiTS2017 dataset,MD-MambaUNet improves the Dice similarity coefficient for liver and tumor segmentation by 3.32%and 4.77%,reaching 95.36%and 76.93%,and increases intersection over union by 4.18%and 4.92%,reaching 91.43%and 69.74%,respectively.Compared with MambaUNet on the 3DIRCADB dataset,MD-MambaUNet improves the Dice similarity coefficient for liver and tumor segmentation by 2.08%and 2.21%,reaching 93.81%and 64.68%,and increases intersection over union by 0.79%and 3.13%,reaching 87.23%and 57.65%,respectively.Meanwhile,the parameter count is 13.71 M less than MambaUNet,making it possible for the model to be deployed in clinical scenarios.

Objective To integrate and optimize the hospital adverse event reporting system,and to enhance the repor-ting rate of medical safety adverse events by using PDCA cycle management method.Achieve closed-loop management of adverse events,improve the efficiency of adverse event management in the hospital,assist in hospital grading review and-quality develop-ment,and reduce the mortality rate of low-risk groups in the hospital.Methods Based on the SPO theory,the quality control circle,PDCA management,flow chart and description method were used,and combined with the previous adverse event manage-ment experience,the adverse event reporting and tracking process was simplified,and adverse event management information platform was optimized and restructured.The period from January to December 2023(control group)and the period from January to 2024(observation group)were compared and analyzed for the number of adverse event reports per 100 discharges and the mor-tality rate of the low-risk group before and after the implementation of PDCA cycle management.Results The application of PDCA cycle management effectively improved the reporting rate of medical safety adverse events and reduced the mortality rate of the hospital's low-risk group.Conclusion The integrated and designed adverse event management system has good applicability and can be promoted for use in hospital management.

Objective To integrate and optimize the hospital adverse event reporting system,and to enhance the repor-ting rate of medical safety adverse events by using PDCA cycle management method.Achieve closed-loop management of adverse events,improve the efficiency of adverse event management in the hospital,assist in hospital grading review and-quality develop-ment,and reduce the mortality rate of low-risk groups in the hospital.Methods Based on the SPO theory,the quality control circle,PDCA management,flow chart and description method were used,and combined with the previous adverse event manage-ment experience,the adverse event reporting and tracking process was simplified,and adverse event management information platform was optimized and restructured.The period from January to December 2023(control group)and the period from January to 2024(observation group)were compared and analyzed for the number of adverse event reports per 100 discharges and the mor-tality rate of the low-risk group before and after the implementation of PDCA cycle management.Results The application of PDCA cycle management effectively improved the reporting rate of medical safety adverse events and reduced the mortality rate of the hospital's low-risk group.Conclusion The integrated and designed adverse event management system has good applicability and can be promoted for use in hospital management.

The paper discusses the scientific connotation of"heart and brain co-dominating the mind",including the connotation of"heart and brain co-dominating the mind"in traditional Chinese medicine and the physiological and pathological relationship be-tween heart and brain in modern medicine.Based on the understanding of"heart and brain co-dominating the mind",this paper be-lieves that"restlessness of mind"is the core pathogenesis of insomnia,and regulating mind is the key to the acupuncture and moxibus-tion treatment of insomnia.The autonomic nervous system(ANS)is a bridge connecting the heart and brain,and is closely related to the central anatomy,neurotransmitters and physiological rhythms of sleep.The imbalance of ANS is highly consistent with the patho-genesis of"heart and brain restlessness"in traditional Chinese medicine.The Governor Vessel runs through the brain and the heart,and the"Governor Vessel regulating spirit acupuncture"can communicate the heart and brain,regulate ANS function,and thus im-prove sleep quality.

Objective:To explore the impact of age on the genetic variant spectrum and prognosis of patients with previously untreated Diffuse large B-cell lymphoma (DLBCL).Methods:A retrospective analysis was conducted on the clinical data and follow-up information of 254 previously untreated DLBCL patients from 14 hospitals in the Jiangsu Cooperative Lymphoma Group (JCLG) enrolled from July 2018 and July 2023. Following extraction of DNA from tumor tissue samples, next-generation sequencing (NGS) technique was employed to analyze the genetic variant spectrum of the DLBCL patients, with an evaluation of the relationship between age and genetic variants as well as prognosis. This study was approved by the Medical Ethics Committee of the Affiliated Hospital of Nantong University (Ethics No.: 2023-K048-01).Results:The median age of the 254 DLBCL patients was 62 years old, with 55% of patients aged 60 years or above. Clinical evaluation showed that younger (< 60 years) patients had higher complete response (CR) (70% vs. 59%), and objective response rate (ORR) (88% vs. 79%) than older patients, though the difference between the two groups was not statistically. Survival analysis indicated that both the five-year overall survival (OS) (82.7% vs. 71.7%, P=0.006) and progression-free survival (PFS) (70.6% vs. 50.2%, P<0.05) rates were significantly higher in younger patients. NGS showed that 99.6% of the patients harbored genetic variants, with PIM1, KMT2D, TP53, MYD88, and CD79B being the most common genes. Age significantly affected the variant frequency of certain genes, with MYC variants serving an adverse prognostic factor for OS in younger patients ( P=0.001), while TP53 ( P=0.024) and BCL2 ( P=0.002) variants significantly impacted OS in older patients. Prognostic analysis identified age ≥ 60 years ( HR=3.439, 95% CI=1.318~9.874), presence of B symptoms ( HR = 2.871, 95% CI=1.133~7.307), and elevated lactate dehydrogenase ( HR=3.528, 95% CI=1.231~10.66) as independent adverse prognostic factors. Conclusion:Age, genetic variants, and clinical factors may significantly affect the prognosis of the DLBCL patients. Younger patients have better survival compared to older patients. Variants of the MYC, BCL2, and TP53 genes are closely associated with poor prognosis.

Objective:To examine the clinical features and genetic profiles of patients with thyroid peroxidase(TPO) gene mutations and provide diagnostic guidance for clinicians.Methods:A retrospective review of four patients with TPO mutations treated at Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, from January 2014 to December 2023. Data on demographics, clinical manifestation, genotypes, treatment, and prognosis of these patients were analyzed.Results:Two males and two females, aged 13 to 27 years at diagnosis, presented with goiter as the initial symptom, with three cases menifesting during puberty. Laboratory findings showed mildly elevated or upper-limit-normal serum thyroid-stimulating hormone(TSH) levels, significantly increased free triiodothyronine/free thyroxine(FT 3/FT 4) ratios, and elevated thyroglobulin(TG) levels. Genetic testing revealed compound heterozygous pathogenic or likely pathogenic TPO mutations. Despite regular levothyroxine(L-T 4) therapy, goiter persisted. Three patients required thyroidectomy due to cosmetic or compressive symptoms, with pathology showing follicular hyperplasia. Conclusion:TPO mutations are characterized by adolescent-onset goiter, elevated FT 3/FT 4 ratios, and normal to high TSH. Genetic testing confirms the diagnosis. L-T 4 offers limited improvement, and surgery is often needed.

Objective:To summarize the clinical characteristics of elderly patients with stage Ⅰ diffuse large B-cell lymphoma (DLBCL) and analyze the factors associated with prognosis.Methods:A case series study was conducted by retrospectively collecting clinical data from patients aged over 60 years with newly diagnosed stage Ⅰ DLBCL across 20 medical centers in Jiangsu Province, China, between June 2010 and April 2023. The involved site, classification and treatment plan were summarized. The primary endpoints were progression-free survival (PFS) and overall survival (OS). Statistical analyses were performed using the Kaplan-Meier method, and Cox regression model.Results:The study included 255 patients with a median age of 69 years, of whom 130 (51.0%) were male, 66 (25.9%) were aged ≥75 years and 26 (10.1%) had a high Charlson Comorbidity Index (CCI) score of ≥2. Extranodal involvement was observed in 163 (63.9%) patients, with the stomach (37.4%, 61/163), intestine (19.0%, 31/163), testes (11.0%, 18/163), and breast (7.4%, 12/163) being the most frequently affected sites. The non-germinal center B-cell (non-GCB) subtype was prevalent in 63.7% of patients (142/223), with no significant difference between the nodal and extranodal groups ( P=0.681). Furthermore, 73.9% (184/249) and 11.7% (29/249) of patients received the R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone) and R-miniCHOP regimen, respectively. The overall 3-year PFS rate was 81.5%, and the 3-year OS rate was 85.6%. Patients aged ≥75 years ( HR=2.910, 95% CI 1.565-5.408, P=0.001) and/or with a CCI score ≥2 ( HR=2.324, 95% CI 1.141-4.732, P=0.020) had a significantly poorer PFS. Incorporating age ≥75 years and CCI score ≥2 into the stage-modified international prognostic index (sm-IPI) can better stratify the prognosis of elderly patients with stage Ⅰ DLBCL. The 3-year PFS rate was 48.7% in the high-risk group versus 85.7% in the low-risk group ( P<0.001). Conclusions:Our findings show that the elderly patients with stage Ⅰ DLBCL were predominantly characterized by extranodal involvement (particularly in the stomach and intestinal tract) and non-GCB subtype. Age ≥75 years and CCI ≥2 were identified as independent prognostic factors. The newly established sm-IPI-75-CCI incorporating these factors demonstrated superior prognostic discrimination compared to conventional risk assessment systems.