This paper reviewed the development history of doctor-patient shared decision-making （SDM） at home and abroad， emphasizing the importance of cross-cultural analysis in constructing a Chinese doctor-patient SDM model. It also delved into the relationship between Western “individualistic” sociocultural values and doctor-patient SDM， as well as the influence of China’s “collectivist” sociocultural values on doctor-patient SDM， revealing significant disparities in doctor-patient SDM models under distinct sociocultural contexts. Although the doctor-patient SDM theory in China originated from the West， this theory requires profound “collision” and adaptation with local Chinese culture to form a localized theory suited to China’s national conditions. Through cross-cultural adaptation and integrating China’s familism tradition and medical ethics concepts， the future construction of the doctor-patient SDM model in China should emphasize family members’ involvement and seek cultural balance to facilitate its widespread application in clinical practice.

Objective To analyze the effect of releasing the lower pulmonary ligament on right residual lung expansion after right upper lobe resection under different body mass index (BMI) levels. Methods The clinical data of patients who underwent thoracoscopic right upper lobe resection in the First Affiliated Hospital with Nanjing Medical University from 2021 to 2022 were retrospectively analyzed. Patients were divided into a group A (17 kg/m2＜BMI≤23 kg/m2), a group B (23 kg/m2＜BMI≤29 kg/m2) and a group C (BMI＞29 kg/m2) according to BMI. The presence of residual cavity was judged by chest X-ray at 7-10 days after operation, the degree of compensation change of the right main bronchus angle was measured, and the changes in lung volume were determined by CT three-dimensional reconstruction. Results A total of 157 patients who underwent thoracoscopic right upper lobe resection were included, including 71 males and 86 females, with an average age of (59.7±11.2) years. There were 50 patients in the group A, 75 patients in the group B, and 32 patients in the group C. In the group A, compared with those without releasing the lower pulmonary ligament, patients with releasing had a lower incidence of postoperative residual cavity (P=0.016), greater changes in bronchus angle (P<0.001), and smaller changes in lung volume (P<0.001). In the group B and C, there was no significant effect of releasing the lower pulmonary ligament on postoperative residual cavity, bronchus angle, and lung volume changes (P>0.05). Conclusion For patients with thin and long body shape and low BMI, releasing the lower pulmonary ligament is helpful to promote the expansion of the residual lung after right upper lobe resection and reduce the occurrence of postoperative residual cavity in patients.

Objective To construct mice hepatocellular carcinoma models with different tumor immune microenvironments(TIME)and explore the differences.Methods H22 and hepa1-6 were used to construct subcutaneous transplantation tumor model of C57 mice as homologous hepatocellular carcinoma cell lines(denoted as H22 group and hepal-6 group,each n=8),and the differences of TIME were evaluated.Immunohistochemistry was used to detect and quantify the infiltration of T cells,CD4+T cells,CD8+T cells,regulatory T cells and B cells in TIME.Flow cytometry was performed to detect the differences of composition of immune cell subpopulations in peripheral blood and tumor parenchyma.Gene expression profile characteristics of tumor tissue were analyzed based on high-throughput transcriptome sequencing technology,and enrichment analyses of immune-related signaling pathways were evaluated combined with gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG).Results H22 group showed cold and hepa1-6 group showed hot TIME characteristics.The number of T cells,CD4+T cells and CD8+T cells in tumor tissue of H22 group were all lower,while the proportion of T cells,CD4+T cells and CD8+T cells in peripheral blood were all higher than those of hepa1-6 group(all P＜0.05).Compared with H22 group,up-regulated genes of tumor tissue in hepa1-6 group expressed significantly enriched in tumor immune activation-related signaling pathways.Conclusion H22 and hepa1-6 hepatocellular carcinoma models showed distinct TIME characteristics of cold and hot tumors,respectively,and the amount of immune cells in tumor tissue of the former were significantly lower than those in the latter.

Background and Aims:Mucinous adenocarcinoma of the colorectum(MAC)is a distinct histologic subtype of colorectal cancer characterized by high malignancy and low diagnostic accuracy of preoperative biopsy,posing challenges for clinical decision-making.Given the critical role of the inflammatory microenvironment in tumor progression,this study aimed to develop and validate a nomogram model integrating preoperative systemic inflammatory indicators and clinical features to improve the preoperative diagnosis of MAC.Methods:Clinical data of 293 patients with colorectal cancer who underwent radical resection between June 2017 and June 2022 at the First Affiliated Hospital of the University of South China were retrospectively analyzed.Based on postoperative pathology,patients were classified into the mucinous adenocarcinoma(MAC)group and the non-specific adenocarcinoma(AC)group.Propensity score matching(PSM,1∶1)was used to balance age,T stage,and N stage.Differences in preoperative inflammatory indices were compared between groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of MAC,which were incorporated into a diagnostic nomogram.The model's discrimination,calibration,and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration plots,and decision curve analysis(DCA).Results:Among the 293 patients,46 had MAC and 247 had AC,with a preoperative colonoscopic diagnostic rate of 54%for MAC.After PSM(43 pairs),platelet count,platelet lymphocyte ratio(PLR),systemic immune inflammation index(SII),inflammation related prognostic index(IPI),and systemic inflammation score(SIS)were significantly higher in the MAC group,while lymphocyte monocyte ratio(LMR)was lower(all P<0.05).Multivariate analysis identified tumor location,maximum tumor diameter,and preoperative IPI as independent predictors.The AUCs of the nomogram in the training(n=206)and validation(n=87)cohorts were 0.759(95%CI=0.662-0.856)and 0.776(95%CI=0.649-0.903),respectively.Calibration plots showed good agreement between predicted and observed probabilities,and DCA demonstrated satisfactory clinical applicability.Conclusion:A nomogram model integrating tumor location,tumor size,and preoperative IPI was successfully developed and validated for preoperative diagnosis of colorectal MAC.This model provides a practical,quantitative tool with good predictive performance to assist clinicians in individualized treatment planning,particularly for patients ineligible for surgical biopsy.

Aim To explore the mechanism of Epimedii folium-Astmgali radix activating the SCF/c-kit signa-ling pathway to activate the PI3K/Akt signaling path-way and its effect on sperm production and vitality in oligoasthenospermia.Methods Sixty male SD rats were used to establish a model of oligoasthenospermia with cyclophosphamide.They were randomly divided into six groups:experimental group(further divided into high,medium,and low dose group),model group,control group and blank group.The oligoasthenosper-mia model was established by using cyclophosphamide in experimental group,levocarnitine group and model group.The rats in the high,medium,and low dose group of the experimental group were orally adminis-tered Epimedii folium-Astmgali radix extract at doses of 800,400,and 200 mg·kg-1,respectively,Once daily for 35 days.Rats of the control group were orally ad-ministered 250 mg·kg-1·d-1 of levocarnitine,Once daily for 35 days.ELISA was used to detect serum of T,E2,FSH,and LH.Western blot and IHC staining were used to detect the expression of SCF,c-kit,Bcl-2,Bax,PI3K,and Akt proteins in rat testicular tissues.Sperm activity is examined by microscopy.The testicu-lar tissue structure and cell morphology of rats in each group were observed.Results Compared with the model group,Epimedii folium-Astmgali radix increased the sperm density,total viability rate,and vitality(P＜0.05,P＜0.01),decreased sperm apoptosis rate and LH,T,and E2 levels(P＜0.05,P＜0.01),decreased Bax protein expression in testicular tissue(P＜0.01),and increased Bcl-2,SCF,c-Kit,PI3K,and Akt protein expression(P＜0.05,P＜0.01);it increased the number of germ cells,thickened basement membrane,and significantly improved seminiferous tubule mor-phology,even showing germ cells at different develop-mental stages and mature sperm.Conclusions Epi-medii folium-Astmgali radix has a significant therapeu-tic effect on oligoasthenospermia in rats.Its mechanism may be related to the activation of the SCF/c-kit signa-ling pathway to activate the PI3K/Akt signaling path-way promoting the proliferation and differentiation of germ cells,and promoting sperm production,maturation and motility.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To analyze the association of peripheral blood systemic immune-inflammation index(SII),neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR)with disease severity and progno-sis in elderly patients with chronic pulmonary heart disease(CPHD).Methods:A total of 180 elderly CPHD pa-tients admitted in Xuancheng Central Hospital between September 2021 and January 2023 were enrolled as case group.Healthy volunteers who simultaneously underwent physical examinations in our hospital were selected as con-trol group(n=50).According to the 28d prognosis,the case group was divided into death group(n=45)and sur-vival group(n=135).Levels of peripheral blood SII,NLR and PLR were compared among above-mentioned groups;Spearman correlation analysis was used to analyze the association of above indexes with cardiac function class and prognosis in these patients.Multivariate Logistic regression analysis was used to analyze risk factors for death in these patients.The predictive value of SII,NLR,and PLR for death in elderly CPHD patients was ana-lyzed using receiver operating characteristic(ROC)curve.Results:Compared with those in control group,those in the case group had significant higher levels of peripheral blood SII,NLR and PLR(P＜0.001 all).Compared with NYHA class Ⅱ group and class Ⅲ group,those in class Ⅳ group had significant higher levels of peripheral blood SII[(1759.87±179.43)vs.(1148.33±121.57)vs.(1392.44±146.36)],NLR[(8.65±0.89)vs.(7.14±0.75)vs.(7.76±0.81)],PLR[(152.45±16.79)vs.(125.29±13.46)vs.(138.77±13.58)];and levels of peripheral blood SII,NLR,PLR in class Ⅲ group were significantly higher than those of class Ⅱ group(P＜0.001 all).Com-pared with patients in survival group,those in death group had significant higher levels of peripheral blood SII[(1723.86±189.65)vs.(1296.81±142.33)],NLR[(8.24±0.89)vs.(7.63±0.78)],PLR[(148.75±15.26)vs.(134.41±14.58)](P＜0.001 all).Spearman correlation analysis indicated that the levels of peripheral blood SII,NLR and PLR were significant positively correlated with the severity and poor prognosis(r=0.336～0.432,P＜0.05 or＜0.01;r=0.319～0.504,P＜0.05 or＜0.01)in elderly CPHD patients.Multivariate Logistic regression analy-sis indicated that peripheral blood SII,NLR,PLR and smoking were independent risk factors for death(OR=1.024～9.514,P＜0.05 or＜0.01)in elderly CPHD patients.ROC curve indicated that area under curve(AUC)of combination of SII,NLR and PLR predicting death in elderly CPHD patients was 0.979(95％CI 0.946～0.995),significantly higher than those of each single detection[SII:0.847(95％CI 0.786～0.896),NLR:0.832(95％CI 0.769～0.883),PLR:0.881(95％CI 0.825～0.925),Z=3.988,4.386,4.217,P＜0.01 all].The nomogram calibration curve and decision curve showed good consistency and net benefit of the model.Conclusion:Peripheral blood SII,NLR and PLR are associat-ed with the severity and prognosis of elderly CPHD patients,and have certain predictive value for patient's prognosis.

To screen potential drugs for the treatment of acute Liver Injury(ALI)through network pharmacology and mitochondrial dynamics,and to investigate their actions and mechanisms.Based on the commonly utilized Liver Pure Tablets and Liver-Protecting Capsules in the market,a com-ponent library of liver disease drugs was screened and established.Pharmacological anchoring anal-ysis was carried out.Potential liver disease therapeutic drugs were screened out through molecular docking,and feedback verification was performed using animal experiments.Acute liver injury mouse models were established through excessive induction with acetaminophen(APAP),and the histopathological changes of liver tissues were examined.The protective effect of the drug on ALI was evaluated by detecting alanine aminotransferase(ALT),aspartate aminotransferase(AST),superoxide dismutase(SOD),catalase(CAT),glutathione(GSH),and malondialdehyde(MDA)using enzyme-linked immunosorbent assay(ELISA).qRT-PCR was employed to detect peroxi-some proliferator-activated receptor gamma coactivator 1-alpha(PPARG1A),mitofusin 1(MFN1),mitofusin 2(MFN2),dynamin-related protein 1(DRP1),optic atrophy 1 protein(OP A1),Steroid receptor coactivator(SRC),and advanced glycosylation end-product specific re-ceptor(AGER)to explore the protective mechanism of the drug on ALI.The result showed that Network pharmacology identified a total of 662 intersection targets of three types of prescription drugs and ALI.Eventually,72 core targets were screened out.Pathway enrichment analysis indi-cates that the potential mechanism might be associated with the lipid and atherosclerosis signaling pathways.The results of the relevant molecular docking indicate that the most likely optimal drug might be emodin(EMO).EMO ameliorated the pathological damage in mice with acute liver inju-ry,significantly decreased the contents of transferase factors ALT and AST,simultaneously in-creased the contents of antioxidant enzymes CAT,GSH and SOD,and reduced the content of oxi-dative metabolic end product MDA.It also upregulated the mRNA expression levels of MFN1、MFN2,OPA1,DRP1,SRC and PPARGC1A proteins in liver tissue,and inhibited the mRNA ex-pression level of AGER protein.The drug EMO,jointly screened out by network pharmacology through anchoring and molecular docking,might promote mitochondrial fusion metabolism,allevi-ate liver oxidative stress,and improve liver injury in ALI mice via the Lipid and atherosclerosis pathway.

Four cases of typical faults of Siemens MOBILETT XP Digital bedside DR were introduced.The causes for the problems were analyzed,and some countermeasures were put forward accordingly.References were provided for medical engineers to treat similar faults.[Chinese Medical Equipment Journal,2025,46(3):118-120]

Objective To propose a dynamic early warning model based on machine learning methods and validate its predi-ctive efficacy so as to achieve precise assessment and early warning of mortality risk in patients with traumatic hypothermia.Methods Firstly,a total of 480 patients who met inclusion criteria were retrospectively selected from the eICU database and randomly divided into training and test sets at an 8∶2 ratio.Secondly,physiological parameters were extracted from these patients,and five machine learning algorithms including XGBoost,AdaBoost,LightGBM,logistic regression(LR)and random forest(RF)were employed respectively to develop dynamic mortality risk warning models for traumatic hypothermia patients,utilizing a 1-hour observation window.Thirdly,receiver operating characteristic curves(ROC)were plotted using the test set data and the effects of different warning windows on the model performance were analyzed by calculating the AUC.Finally,the interpretability of the models was analyzed using the SHapley Additive exPlanations(SHAP)algorithm to elucidate the contribution of each feature to predictive performance.Results The optimal warning window for the dynamic warning model constructed using the eICU database was 12 hours,and in case of 12-hour warning window the logistic regression model achieved the highest AUC of 0.935 and showed optimal predictive performance.The results of the interpretability analysis by the SHAP algorithm showed that body temperature was the feature that had the greatest impact on the model results,and its reduction was positively correlated with the increased risk of death.Conclusion The machine learning-based dynamic warning model for mortality risk in traumatic hypothermia patients enables real-time dynamic risk assessment,providing robust support for clinicians to identify the patient's condition changes at an early stage and references for the adjustment of clinical treatment programs.[Chinese Medical Equipment Journal,2025,46(3):9-14]