ObjectiveTo investigate the effect of Yuejuwan on lipid metabolism in serum， prefrontal cortex and hippocampus of depressed mice based on lipidomics， and to explore the potential pathways for improving lipid metabolism to prevent depression. MethodsSeven-week-old C57BL/6 mice were randomly divided into blank group， model group， Yuejuwan group（3.6 g·kg^-1） and fluoxetine group（10 mg·kg^-1）， and chronic unpredictable mild stress（CUMS） was used to establish the depression model. After 3 weeks of modeling， each administration group was gavaged with the corresponding drug solution according to the dose， and mice in the blank and model groups were given an equal volume of deionised water by gavage， one time/d for 2 weeks. After administration， the antidepressant effect of Yuejuwan was evaluated by neurobehavioral indices such as sucrose preference test， open field test， tail suspension test and forced swimming test. An automatic biochemical analyzer was used to measure contents of total cholesterol（TC）， triglyceride（TG）， low-density lipoprotein cholesterol（LDL-C）， high-density lipoprotein cholesterol（HDL-C）， aspartate aminotransferase（AST） and alanine aminotransferase（ALT） in mouse serum. Lipidomic analysis of mouse serum， prefrontal cortex and hippocampus was performed based on ultra-performance liquid chromatography-linear ion trap-electrostatic field orbitrap mass spectrometry（UPLC-LTQ-Orbitrap-MS）， and the expression of mammalian target of rapamycin（mTOR）， ribosomal protein S6 kinase（S6K）， phosphorylation（p）-mTOR， p-S6K in gastric tissues of mice was detected by Western blot. ResultsCompared with the blank group， mice in the model group exhibited significantly reduced sucrose preference rate and center movement time in the open field test（P<0.01）， the immobility times in the tail suspension test and forced swimming test were significantly increased（P<0.01）， and serum levels of TC， TG， LDL-C， HDL-C， AST and ALT were significantly elevated（P<0.05， P<0.01）. Compared with the model group， the Yuejuwan group showed a significant increase in the sucrose preference rate and center movement time in the open field test（P<0.01）， the immobility times in the tail suspension test and forced swimming test were significantly reduced（P<0.01）， and the serum levels of TC， TG， LDL-C， AST and ALT were significantly decreased（P<0.05， P<0.01）. Lipidomic analysis revealed that Yuejuwan had a significant effect on lipid metabolism in serum， prefrontal cortex and hippocampus of depressed mice， and The differential lipid metabolites were mainly enriched in the metabolic pathways of glycerophospholipid metabolism， sphingolipid signaling， and glycosylphosphatidylinositol-anchored protein biosynthesis， among which the glycerophospholipid metabolic pathway was the most significant. Western blot results showed that compared with the blank group， the relative expression levels of p-mTOR/mTOR and p-S6K/S6K in the gastric tissues of mice in the model group were significantly increased（P<0.01）. In comparison with the model group， the relative expression levels of p-mTOR/mTOR and p-S6K/S6K in the gastric tissues of mice in the Yuejuwan group were significantly decreased（P<0.01）. ConclusionThe intervention of Yuejuwan on lipid metabolism is one of the potential pathways for its antidepressant effect， which may be related to the regulation of mTOR/S6K signaling pathway upstream of lipid metabolism in the gastric tissues.

Objective The purpose of this study is to explore the implementation strategies of the"two-in-one"medical and care integration model in People's Hospital of Nanhai Economic Development Zone,focusing on resource integration,talent shortage,service quality,funding support,and information construction.Methods Through field research,data analysis,and literature review,the study investigates the"two-in-one"model of the hospital managing a government-run nursing home,and an-alyzes its specific practices and effects in resource integration,talent development,and information construction.Results Through vertical management,resource integration,and information construction,the hospital significantly improved the service quality of the nursing home.Conclusion The model of the hospital managing a nursing home has achieved a transformation from passive response to external pressure to active stimulation of internal growth,providing a reference for the promotion of medical and care integration services at the village level and offering a new solution to solve the development dilemma of hospitals.

Objective:To explore the method for selecting characteristic prices of Chinese patent medicines based on informa-tion entropy theory.It involves analyzing the connotative differences among various price indicators and utilizing information entropy metrics to validate the scientific rigor of characteristic price selection so as to optimize the pricing model for Chinese patent medi-cines and improve the accuracy of price evaluation.Methods:A correlation analysis and information entropy calculation are con-ducted on the median price of the smallest preparation unit,average daily cost,and average course cost of TCM.It compares the information diversity and uncertainty of different pricing indicators.Results:The average daily cost exhibits the highest information diversity and uncertainty among all the pricing indicators examined.Conclusion:It is recommended that the average daily cost be used as the dependent variable for characteristic prices in TCM pricing research.This choice plays an important role in optimizing TCM pricing models and enhancing the accuracy of price evaluation.

Objective:To establish a scientific,systematic,and objective indicator system for the characteristic price variables of Traditional Chinese Patent Medicines(TCPM),providing a reference framework for the pricing mechanism of TCPM.Methods:The brainstorming method was initially used to screen related variable indicators.The Nominal Group Technique(NGT)and Delphi methods were applied to gather expert opinions,and SPSS 28.0 was employed for data statistical analysis.It led to the development of a TCPM characteristic price variable indicator system consisting of 6 dimensions,14 characteristic variables and 26 measurement indicators.Results:The authority coefficient of the experts exceeded 0.7,indicating the representativeness of the results.Expert opinions were generally concentrated.Based on the collected opinions and statistical analysis,the scope of selected TCPM characteristic price variables was preliminarily established.Conclusion:The TCPM characteristic price variable indicator system was initially developed.However,due to the complexity of the pricing mechanism and divergent expert opinions,further qualitative and quantitative research methods,along with a dynamic adjustment mechanism,are needed to verify and refine the system.

Objective:To improve the understanding of patients with diffuse large B-cell lymphoma (DLBCL) with pulmonary cryptococcosis.Methods:The clinical data of 1 DLBCL patient with pulmonary cryptococcosis in the Central Hospital of Fengxian District of Shanghai in May 2023 were retrospectively analyzed, and the relevant literatures were reviewed.Results:This 75-year-old female patient was asymptomatic after 2 cycles of R-CHOP chemotherapy. The high-resolution CT of lung showed that lung nodules were progressively enlarged. Antibacterial treatment was ineffective. Pulmonary cryptococcosis was confirmed by bronchoalveolar lavage fluid (BALF) targeted high-throughput sequencing (tNGS) and cryptococcus capsular antigen (CrAg) detection. The central nervous system was not involved. And the long-term adequate-dose fluconazole was prescribed for 6 months, and the treatment against lymphoma was given synchronously. The lung nodule lesions reduced after antifungal therapy for 1 month. The lung nodules disappeared after the follow-up of 6 months after completion of final chemotherapy. The evaluation of lymphoma indicated complete remission.Conclusions:Pulmonary cryptococcosis occurs insidiously and shows no specific symptoms; its imaging manifestations are variable and routine anti-infection is ineffective. Immunochemotherapy for lymphoma patients is a high-risk factor for cryptococcal infection. tNGS and CrAg testing for BALF are effective methods of the confirmed diagnosis. The early and long-term adequate-dose antifungal treatment is the key to preventing the recurrence or progression.

Objective The purpose of this study is to explore the implementation strategies of the"two-in-one"medical and care integration model in People's Hospital of Nanhai Economic Development Zone,focusing on resource integration,talent shortage,service quality,funding support,and information construction.Methods Through field research,data analysis,and literature review,the study investigates the"two-in-one"model of the hospital managing a government-run nursing home,and an-alyzes its specific practices and effects in resource integration,talent development,and information construction.Results Through vertical management,resource integration,and information construction,the hospital significantly improved the service quality of the nursing home.Conclusion The model of the hospital managing a nursing home has achieved a transformation from passive response to external pressure to active stimulation of internal growth,providing a reference for the promotion of medical and care integration services at the village level and offering a new solution to solve the development dilemma of hospitals.

Objective:To explore the method for selecting characteristic prices of Chinese patent medicines based on informa-tion entropy theory.It involves analyzing the connotative differences among various price indicators and utilizing information entropy metrics to validate the scientific rigor of characteristic price selection so as to optimize the pricing model for Chinese patent medi-cines and improve the accuracy of price evaluation.Methods:A correlation analysis and information entropy calculation are con-ducted on the median price of the smallest preparation unit,average daily cost,and average course cost of TCM.It compares the information diversity and uncertainty of different pricing indicators.Results:The average daily cost exhibits the highest information diversity and uncertainty among all the pricing indicators examined.Conclusion:It is recommended that the average daily cost be used as the dependent variable for characteristic prices in TCM pricing research.This choice plays an important role in optimizing TCM pricing models and enhancing the accuracy of price evaluation.

Objective:To establish a scientific,systematic,and objective indicator system for the characteristic price variables of Traditional Chinese Patent Medicines(TCPM),providing a reference framework for the pricing mechanism of TCPM.Methods:The brainstorming method was initially used to screen related variable indicators.The Nominal Group Technique(NGT)and Delphi methods were applied to gather expert opinions,and SPSS 28.0 was employed for data statistical analysis.It led to the development of a TCPM characteristic price variable indicator system consisting of 6 dimensions,14 characteristic variables and 26 measurement indicators.Results:The authority coefficient of the experts exceeded 0.7,indicating the representativeness of the results.Expert opinions were generally concentrated.Based on the collected opinions and statistical analysis,the scope of selected TCPM characteristic price variables was preliminarily established.Conclusion:The TCPM characteristic price variable indicator system was initially developed.However,due to the complexity of the pricing mechanism and divergent expert opinions,further qualitative and quantitative research methods,along with a dynamic adjustment mechanism,are needed to verify and refine the system.

To reduce the subjectivity and uncertainty present in the current international methods of drug value pricing when converting value into monetary prices,based on the hedonic pricing theory,it considers the post-negotiation price between manufacturers and payers as a reasonable price reference in the value pricing of Chinese patent medicine.By constructing an indicator system for the characteristics of Chinese patent medicine,it selects and measures the value characteristic variables that affect the price of Chinese patent medicine.It serves as the theoretical foundation and research basis for establishing a Hedonic price model between characteristic price variables and negotiation prices,thereby promoting the enhancement of rationality and objectivity in value-guided pricing of Chinese patent medicine.

Purpose To investigate the value of T2WI MR-based radiomics nomogram for predicting deep stromal invasion of cervical cancer preoperatively.Materials and Methods Retrospective analysis of 164 consecutive patients with early-stage cervical cancer with postoperative pathological findings and preoperative MR images admitted to two medical centers in the Affiliated Hospital of Southwest Medical University(first center)and the Huaihe Hospital of Henan University(second center)from May 2018 to August 2022.The data in the first center(n=1 14)and the second center(n=50)were divided into the training and validation cohorts,respectively.To segment T2WI images in the 3D Slicer software and to extract image features in the python software.The radiomic features were selected in the training cohort.Based on the selected features,support vector machine prediction model was constructed.Univariate Logistic regression was used to select clinicopathological risk factors,then,multi-variate Logistic regression combined with radiomics score was used to construct radiomics nomogram,diagnostic performance of the radiomics model,clinical prediction model and radiomics nomogram model were assessed by receiver operating characteristic analysis.The predictive efficacy of the different models were compared.Results The 12 radiomics features were selected out.The FIGO staging and radiomics score were included in the multifactor Logistic regression to build the radiomics nomogram for predicting deep stromal invasion.The results showed that the predictive performance for the radiomics nomogram model was better than the clinical prediction model(in validation cohort:area under the curve was 0.845 vs.0.717;Z=2.728,P=0.006).Conclusion Radiomics nomogram based on T2WI is of high value for predicting deep stromal invasion of cervical cancer preoperatively.