[Objective] : To predict the autophagy-related pathogenesis and key diagnostic genes of diabetic kidney disease (DKD) through bioinformatics analysis, and to identify related Chinese medicines. [Methods] : Data from sequencing microarrays GSE30528, GSE30529, and GSE1009 in the Gene Expression Omnibus (GEO) were employed. Differentially expressed genes (DEGs) with adjusted P < 0.05 from GSE30528 and GSE30529 were identified. Combining these DEGs with the human autophagy gene database, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, and protein-protein interaction (PPI) network analysis were conducted on the obtained DKD autophagy-related genes. Subsequently, the least absolute shrinkage and selection operator (LASSO) regression and support vector machine-recursive feature elimination (SVM-RFE) algorithms were adopted to select autophagy-related genes. The diagnostic capability of these genes was assessed through analysis with the external validation set from microarray GSE1009, and relevant Chinese medicines were inversely predicted using the SymMap database. [Results] : A total of 2 014 DEGs were selected from GSE30528 and GSE30529, leading to the identification of 37 DKD autophagy-related genes. GO analysis indicated 681 biological mechanisms, including autophagy regulation and plasma membrane microdomain activity. KEGG enrichment analysis identified 112 related signaling pathways. PPI network analysis showed a marked enrichment of autophagy-related genes in DKD. Through LASSO regression and SVM-RFE, four core diagnostic genes for autophagy in DKD were identified: protein phosphatase 1 regulatory subunit 15A (PPP1R15A), hypoxia inducible factor 1 alpha subunit (HIF1α), deleted in liver cancer 1 (DLC1), and ceroid lipofuscinosis neuronal 3 (CLN3). The external validation set demonstrated high diagnostic efficiency for these genes. Finally, 146 kinds of potential Chinese medicines were predicted using the SymMap database, with heatclearing and detoxifying medicine and blood-activating and stasis-eliminating medicine accounting for the largest proportion (25/146 and 13/146, respectively). [Conclusion] This study analyzed and validated bioinformatics sequencing databases to elucidate the potential molecular mechanisms of DKD autophagy and predicted key diagnostic genes, potential therapeutic targets, and related Chinese medicines, laying a solid foundation for clinical research and application.

Objective:To explore the feasibility of using self-made visual throat forceps to remove hypopharyngeal foreign bodies. Methods:The throat forceps were combined with the endoscope and connected to a monitor via a data cable resulting in a visual throat forceps apparatus. This device was utilized to examine and treat the hypopharyngeal foreign bodies. Results:Among 53 patients, foreign bodies were detected in 51,with 48 cases involving hypopharyngeal foreign bodies. All were successfully extracted using the visual throat forceps. Three cases, diagnosed as esophageal foreign bodies by electronic gastroscopy, were treated using the same method. Conclusion:Visual throat forceps can be used to examine the hypopharynx and remove foreign bodies. It has the advantages of simple operation, rapid operation, and high success rate of foreign body removal from the hypopharynx. It is worthy of clinical application.
Humans ; Hypopharynx/surgery* ; Pharynx/surgery* ; Endoscopes ; Surgical Instruments ; Foreign Bodies/diagnosis*

Aim To analyze the anti-A549 and HI299 lung ade-nocarcinoma activities via using examples of baicalin, astragalo-side, hesperidin and cisplatin based on real time cellular analysis (RTCA) technology, and to build a new strategy for EC50 e-valuation reflecting the time-dimensional characteristic. Methods Using RTCA Software Pro for data analysis and GraphPad Prism and Origin Pro plotting, the in vitro anti-A549 and H1299 lung adenocarcinoma activities of baicalin, astragaloside, hesperidin, and cisplatin were characterized using the endpoint method and time dimension, respectively. Results (X) There were significant differences in EC50 values of A549 and H1299 cells at 24 h and 48 h endpoint methods. (2) The correlation coefficient of the curve fitted with the four-parameter equation was > 0. 9, and the dynamic change of EC50 remained relatively stable (the linear fitting of EC50 at adjacent 4 points I slope 1^1) used to calculate the EC50 value within this time dimension. The EC50 of baicalin, astragaloside, hesperidin and cisplatin on A549 cells was 52. 97 ±1.75 плпо! • L~1(16~48 h) , 62.88 ± 2.91 ijunol • L"1 (32.25 -48 h) , 78.84 ±0.33 плпо1 • L"1 (21.5 -29.75 h), 13.57 ±1.54 плпо1 • L_1(27.5 -48 h), respectively; the EC50 of baicalin, astragaloside, hesperidin and cisplatin on H1299 cells was 43. 71 ± 1. 26 |лто1 • L_1 ( 19. 5 -48 h), 47.23 ±1. 19 |лто1 • L_1(14 -48 h) , 39.45 ±0.24 плпо1 • L"1 (12.75 -46.25 h), 25.97 ±4.76 плпо1 • L"1 (10. 25 -48 h) , respectively. The results showed that the time window for the anti-tumor effect of the test solution/drug was different. Conclusions Based on RTCA technology, it is more accurate and reasonable to select EC50 data that exhibit better fitting, stable changes, and time-dimensional characteristics for the evaluation of anti-tumor activity. In addition, this method of distinguishing different effective time of antitumor drugs can provide a reference for the timing of clinical combination drugs, and this approach will also provide a reference for further related studies.

Objective:To explore the mediating role of disease progression′s fear and positive affect in the relationship between disease perception and demoralization in patients with chronic heart failure. It provided a theoretical basis for targeted interventions for healthcare workers.Methods:From October 2022 to March 2023, 320 patients with chronic heart failure in the First Affiliated Hospital of Zhengzhou University were selected as the research objects by convenience sampling. The General Information Questionnaire, Demoralization Scale Redacted Mandarin Version, Brief Illness Perception Questionnaire, Fear of Progression Questionnaire-Short Form, Positive and Negative Affect Schedule (Positive Affect Schedule) were used to conduct the questionnaire survey exploring the mediating effects of fear of disease progression and positive emotions between disease perception and disorientation by construction structural equation model.Results:There were 268 valid questionnaires. Of the 268 patients, 168 were male and 100 were female, 3.36% (9/268) were ≤40 years old, 55.22% (148/268) were 41-65 years old, and 41.42% (111/268) were >65 years old. Correlation analysis showed that disease perception was positively correlated with disease progression ′s fear, and every dimension of demoralization ( r values were 0.300-0.586, all P<0.01), and negatively correlated with positive affect ( r=-0.374, P<0.01); disease progression′s fear was negatively correlated with positive affect ( r=-0.318, P<0.01), and positively correlated with every dimension of demoralization ( r values were 0.339-0.464, all P<0.01); positive affect was negatively correlated with every dimension of demoralization ( r values were -0.430--0.334, all P<0.01). Structural equation model analysis showed that the direct effect of disease perception on demoralization was significant ( β=0.407, P<0.01), and both mediating effects of disease progression ′s fear and positive affect between disease perception and demoralization in patients with chronic heart failure were significant ( β=0.074, 0.079, both P<0.01). The chain mediating effect of disease progression ′s fear and positive effect was also significant ( β=0.019, P<0.01). Conclusions:Disease perception could directly predict the demoralization of patients with chronic heart failure and indirectly predict the demoralization of patients with chronic heart failure through the mediating effect of disease progression ′s fear, positive affect, and the chain mediating effect of disease progression ′s fear and positive affect.

AIM:To investigate the relationship between the dynamic changes of Lymphocyte-to-monocytes ratios(LMR)before PD-1 inhibitor treat-ment and the efficacy and prognosis of PD-1 inhibi-tor treatment in patients with advanced non-small cell lung cancer(NSCLC).METHODS:The clinical case data of 83 patients with advanced non-small cell lung cancer admitted to the Cancer Hospital of Wuhu Second People's Hospital from June 2019 to July 2022 were retrospectively analyzed.The rou-tine blood LMR values of all patients before and af-ter treatment were collected,the cut-off value was calculated according to the ROC curve,and the LMR was divided into two groups:high and low be-fore treatment and after treatment.The differenc-es of ORR,DCR,PFS and OS among the patients in each group were analyzed and compared,and the value of LMR value and dynamic changes after treatment on the efficacy and prognosis of patients with PD-1 inhibitors in the treatment of NSCLC pa-tients was analyzed.RESULTS:According to the ROC curve,the critical value of LMR was 1.8,and the LMR was divided into the low LMR group at baseline(LMRB/S<1.8),the high LMR group at base-line(LMRB/S≥1.8)and the low LMR group after treatment(LMRafter<1.8)and the high LMR group af-ter treatment(LMRafter≥1.8).The ORR and DCR after immunotherapy in the high LMRB/S group were high-er than those in the low LMRB/S group(P=0.037;P= 0.0025).Among the patients with low LMRB/S be-fore treatment,the DCR of the LMRafter≥1.8 group was better than that of the LMRafter<1.8 group after treatment(P=0.005).Among the patients with high LMR before treatment,the DCR of the LMRafter≥1.8 group was better than that of the LMRafter<1.8 group(P=0.034).Kaplan-Meier analysis showed that PFS and OS were longer in the high LMRB/S group than in the low LMRB/S group before treat-ment.In the low LMRB/S group before treatment,PFS and OS were longer in patients with LMRafter≥1.8 than those with LMRafter<1.8(P=0.047;P=0.007).Multivariate Cox regression model analysis showed that high LMRB/S value before treatment was an in-dependent risk factor for PFS and OS in NSCLC pa-tients(P=0.006;P=0.033).CONCLUSION:High LMR value of patients before immunotherapy may im-prove the efficacy of PD-1 inhibitors,improve the prognosis of patients,and prolong the survival time.Moreover,the increase of LMR value after treatment may increase the efficacy of patients with low LMR before treatment and improve the prognosis of patients.

Objective It aims to construct an evaluation index system for the development level of intelligent health insurance,which can serve as a reference for health insurance management departments in assessing the develop-ment level of intelligent health insurance and the implementation of health insurance informatization.Methods Key events in intelligent health insurance were identified based on event system theory and text analysis.The evaluation index system was determined through a combination of expert interviews and Delphi expert consultations.The entro-py method was used to calculate the weights of each index,followed by the assessment of the current and ideal de-velopment levels.Results A total of 16 experts were consulted.After two rounds of Delphi expert consultation,two first-level indicators and 18 second-level indicators were finally included in the system.The current development level of intelligent health insurance in China is at the intelligent development stage(2.524 points),while the ideal de-velopment level is at the intelligent improvement stage(4.073 points).The positivity coefficient of both rounds of Del-phi expert consultation was 100%,with an authority coefficient of 0.842,and the degree of expert coordination im-proved with each round.Conclusion The constructed evaluation index system exhibits high scientificity,stability,and generalizability.It can provide an effective evaluation tool for the development of intelligent health insurance in various pooled areas.

Taking the reform of DRG payment methods as the background,it discusses how the medical in-surance department uses information technology to achieve refined monitoring and management of medical institu-tions,so as to improve the quality and efficiency of medical services and control the unreasonable growth of medical expenses.The three stages of"precision monitoring-refined supervision-precision governance"of medical insurance DRG based on"refined theory"are proposed;taking Nanjing's"medical insurance high-speed railway"as an example,a DRG refined supervision and governance model framework is constructed,and its analysis is carried out monitoring elements and governance elements,and finally put forward implementation suggestions,including hori-zontal collaboration led by medical insurance,establishing a service and cost evaluation mechanism that combines in-ternal and external services.

It dified framework of health system resilience analysis.The research integrates practical elements from the case of the online pandemic material procurement and allocation hall in Nanjing,categorizing the resilience-building of local health systems via informatization into two distinct dimensions:static foundation and dynamic endowment.It conducts an in-depth examination of the logical pathways that leverage informatization to bolster resilience,and further investigates the inherent advantages and potential areas for optimization within informatization.The findings suggest that the synergistic empowerment of both static foundation and dynamic endowment effectively amplifies the risk defense capability and resilience of local health systems.

Information collaboration is an important realisation path to deepen the reform of the medical and health system and to promote the collaborative development and governance of the"Three Medicine"during the"14th Five-Year Plan"period.It employs the SFIC model and makes appropriate modifications to it.The analytical framework comprises six elements:"initial conditions-external environment-catalytic leadership-institutional de-sign-collaborative process-results feedback".This framework is used to dissect the current collaborative dilemma in the"Three Medicine"information collaboration and governance.Based on this analysis,an optimized path for infor-mation collaborative governance is proposed:consolidating the foundation of"Three Medicine"information collabora-tion,enhancing the catalytic leadership capability of meta-governance,optimizing the institutional design of informa-tion life-cycle governance,reshaping the information collaboration process,and focusing on the evaluation feedback mechanism.

Digital transformation is driving the repositioning of government work and the reshaping of public ser-vice models.It uses TOE theory combined with a technology analysis framework as a theoretical perspective and a single-case study approach to explore the operational mechanism and optimization path of health insurance gover-nance modernization.The findings show that the digital transformation of health insurance is in line with the three-stage path of"structuring the enabling mechanism-forming digital service capacity-enabling value creation".The next stage is to promote the implementation of digital coding standards,accelerate the application of technology integration,respond to the needs of the insured,improve the supporting measures for the linkage of the three health care systems,and bring into play the effectiveness of modern governance of health care.It expands the scope of government governance modernisation research and has both theoretical and practical value.