OBJECTIVE To explore a model for constructing a platform for medical institution formulation and provide insights for promoting their development. METHODS By systematically reviewing the development status and challenges of medical institution preparations in China， and based on the theory of industry-university-research collaborative innovation， the organizational structure， collaborative processes， and safeguard mechanisms of the platform were designed. RESULTS & CONCLUSIONS Medical institution formulations in China mainly faced challenges such as weak research and development （R&D） capacity， uneven quality standards， and blocked transformation pathways. This study established a full-chain， whole- industry collaborative innovation network covering the government， medical institutions， universities/research institutes， pharmaceutical enterprises， and the market， forming a new “government-industry-university-research-application” five-in-one platform model for medical institution formulations. By establishing mechanisms such as multi-entity collaborative cooperation， full- chain intellectual property management， contribution-based benefit distribution， staged risk-sharing， and third-party evaluation， the model clarified the responsibilities and collaborative pathways of all parties. The new model highlights the whole-process transformation of clinical experience-based prescriptions， enabling precise alignment between clinical needs and technological R&D， as well as between preparation achievements and industrial transformation. While breaking down the barriers of traditional platform construction， it effectively achieves optimal resource allocation and complementary advantages， addresses problems emerging in the development of medical institution preparations， and provides reference value for the formulation of relevant systems.

Objective To explore the mediating role of occupational well-being in the relationship between professional identity and safety behavior among nurses. Methods A total of 1 006 nurses from ten tertiary general hospitals in eight provincial administrative regions were selected as the research subjects using convenient sampling method. Their safety behavior, professional identity and occupational well-being were investigated using Nurse Safety Behavior Scale, Nurse Professional Identity Scale and Occupational Well-being Scale. Structural equation modeling was performed using AMOS 26.0 to examine the mediating effect of occupational well-being in the relationship between professional identity and safety behavior among nurses. Results The scores for safety behavior, professional identity, and occupational well-being were (53.0±6.1), (123.7±21.2) and (90.8±13.1), respectively. Safety behavior was positively correlated with both professional identity and occupational well-being (correlation coefficients were 0.50 and 0.50, respectively, both P<0.01). Professional identity was positively correlated with occupational well-being (correlation coefficient was 0.51, P<0.01). The multiple linear regression analysis results showed that the higher the professional identity and occupational well-being of nurses, the higher the level of safety behavior (both P<0.05). The result of mediating effect shows that the total effect of occupational identity on safety behavior was 0.498 [95% confidence interval (CI) was 0.405-0.576], and occupational well-being played a mediating role between professional identity and safety behavior among nurses with the mediation effect of 0.156 (95%CI was 0.112-0.205), accounting for 31.33% of the total effect. Conclusion The safety behavior of nurses is at a moderate level. Both professional identity and occupational well-being can affect the safety behavior of nurses. Professional identity can increase the safety behavior of nurses by affecting occupational well-being.

Cells and exosomes derived from them are extensively used as biological carrier systems. Cells demonstrate superior targeting specificity and prolonged circulation facilitated by their rich array of surface proteins, while exosomes, due to their small size, cross barriers and penetrate tumors efficiently. However, challenges remain, cells' large size restricts tissue penetration, and exosomes have limited targeting accuracy and short circulation times. To address these challenges, we developed a novel concept termed exosomal spheres. This approach involved incorporating platelet-derived exosomes shielded with phosphatidylserine (PS) and linked via pH-sensitive bonds for drug delivery applications. The study demonstrated that, compared with exosomes, the exosomal spheres improved blood circulation through the upregulation of CD47 expression and shielding of phosphatidylserine, thereby minimizing immune clearance. Moreover, the increased expression of P-selectin promoted adhesion to circulating tumor cells, thereby enhancing targeting efficiency. Upon reaching the tumor site, the hydrazone bonds of exosome spheres were protonated in the acidic tumor microenvironment, leading to disintegration into uniform-sized exosomes capable of deeper tumor penetration compared to platelets. These findings suggested that exosome spheres addressed the challenges and offered significant potential for efficient and precise drug delivery.

OBJECTIVES: To evaluate the association of GGN repeat polymorphism of androgen receptor (AR) with ovarian reserve and ovarian response in controlled ovarian stimulation (COS). METHODS: This genetic association study was conducted among a total of 361 women aged ≤40 years with basal FSH≤12 U/L undergoing the GnRH-agonist long protocol for COS in a university-affiliated IVF center. GGN repeat in the AR gene was analyzed with Sanger sequencing. The primary endpoint was the number of antral follicle counts (AFCs), and the secondary endpoints were stimulation days, total dose of gonadotropin (Gn) used, total number of retrieved oocytes, ovarian sensitivity index, and follicular output rate. RESULTS: The GGN repeat in exon 1 of the AR gene ranged from 13 to 24, and the median repeat length was 22. Based on the genotypes (S for GGN repeats <22, L for GGN repeats ≥22), the patients were divided into 3 groups: SS, SL, and LL. Generalized regression analysis indicated that the number of AFCs in group SS was significantly lower than those in group SL (adjusted β=1.8, 95% CI: 0.2-3.4, P=0.024) and group LL (adjusted β=1.5, 95% CI: 0.2-2.7, P=0.021). No significant difference was observed in the number of AFCs between group SL and group LL (P>0.05). Generalized regression analysis indicated no significant differences in ovarian stimulation parameters among the 3 groups, either before or after adjusting for confounding factors (P>0.05). CONCLUSIONS GGN repeat length on the AR gene is associated with AFC but not with ovarian response in Chinese women, indicating that AR gene polymorphisms may affect ovarian reserve.
Adult ; Female ; Humans ; Genotype ; Ovarian Follicle/cytology* ; Ovarian Reserve/genetics* ; Ovulation Induction/methods* ; Polymorphism, Genetic ; Receptors, Androgen/genetics* ; East Asian People/genetics*

Objective:To analyze the efficacy of endovascular treatment for venous outflow tract obstruction after liver transplantation.Methods:A retrospective analysis was conducted on the data of 7 patients with venous outflow tract obstruction after liver transplantation admitted to Beijing Friendship Hospital, Capital Medical University from November 2020 to December 2024. Among them, there were 5 males and 2 females, with the age of (22.3±8.1) years. The primary diseases included 2 cases of Budd-Chiari syndrome, 1 case of hepatic veno-occlusive disease, 1 case of portal veno-hepatic sinus vascular disease, 1 case of ornithine carbamoyltransferase deficiency, 1 case of primary biliary cirrhosis, and 1 case of autoimmune cirrhosis. Analyze the patient's clinical manifestations, obstruction of venous outflow tract, hemoglobin levels within one week before and one week after the operation, endovascular treatment conditions, and intraoperative complications such as abdominal hemorrhage and vascular injury. Ultrasound was used to measure the depth of ascites and pleural effusion. All patients were followed up immediately after the operation through phone calls or follow-up visits. The clinical symptoms, abdominal vascular ultrasound, enhanced CT and survival status of the patients were followed up.Results:All 7 patients were diagnosed with venous outflow tract obstruction by intraoperative angiography, including 1 cases of inferior vena cava obstruction, 2 cases of hepatic vein obstruction, and 4 cases of vena cava combined with hepatic vein obstruction. A total of 12 endovascular treatments were performed on 7 patients. Among them, 4 patients received balloon dilation and angioplasty once, 1 patient received balloon dilation and angioplasty twice, 1 patient underwent hepatic vein stent implantation after 2 hepatic vein balloon dilation and angioplasty, and 1 patient underwent intrahepatic portosystemic shunt via jugular vein after 2 hepatic vein balloon dilation and angioplasty. The abdominal distensionof the patients were all relieved after the operation, the ascites and pleural effusion decreased, and the edema symptoms of the lower extremities disappeared. There were no intraoperative complications. The preoperative hemoglobin of 7 patients was (113.4±34.0) g/L, and the postoperative hemoglobin was (126.6±34.8) g/L, which increased significantly compared with that before the operation, and the difference was statistically significant ( t=-0.71, P=0.038). Seven patients were followed up for 6 to 24 months, with a median of 12 months. None of them had obvious symptoms including abdominal distension. Abdominal ultrasound and CT indicated that the blood flow of the transplanted liver was unobstructed, and no patient died. Conclusion:Venous outflow tract obstruction after liver transplantation can cause severe symptoms. Endovascular treatment is an effective treatment for venous outflow tract obstruction after liver transplantation.

Objective To observe the value of ultrasound radiomics based on convolutional neural network(CNN)for predicting effect of neoadjuvant chemotherapy(NAC)for breast cancer.Methods Totally 164 women with breast cancer were retrospectively enrolled and divided into effective group(n=68)and ineffective group(n=96)according to the treatment response,also randomly divided into training set(n=131)and validation set(n=33)at the ratio of 8∶2.Based on ultrasound before NAC,radiomics features of breast cancer were extracted and screened with CNN,radiomics models were constructed with logistic regression(LR),support vector machine(SVM),K-nearest neighbor(KNN),random forest(RF)and multilayer perceptron(MLP),respectively.The best radiomics model was selected,deep learning score(DL-Score)was calculated,and the nomogram was drawn combined with clinical features.Results Among 5 radiomics models,MLP model had the best comprehensive efficacy for predicting effect of NAC for breast cancer,and its sensitivity,specificity and area under the curve(AUC)in training set was 77.78％,92.21％and 0.929,respectively,which in validation set was 78.57％,84.21％and 0.921,respectively.The estrogen or progesterone receptor,human epidermal growth factor receptor 2 and DL-Score were all independent predictors of NAC effect for breast cancer(all P＜0.05).The sensitivity,specificity and AUC of nomogram drawn based on the above independent predictors was 83.30％,92.21％and 0.953 in training set,85.71％,94.74％and 0.955 in validation set,respectively.AUC of the nomogram was slightly higher than that of MLP model,but no significant difference was found(both P＞0.05).The integrated discrimination improvement index showed that adding clinical features(i.e.the above-mentioned immunohistochemically indicators)could improve the predictive performance of radiomics models(P＜0.001).Conclusion Ultrasound radiomics based on CNN could be used to predict effect of NAC for breast cancer.Combining with immunohistochemically indicators might improve their efficacy.

Objective:To investigate the role of dynamic changes in liver stiffness measurement (LSM) in predicting liver-related end-point events (LREs) occurrence in patients with chronic hepatitis B (CHB) with liver fibrosis during long-term antiviral therapy.Methods:Data were collected from CHB patients whose liver biopsy results showed Metavir fibrosis stage F2～F4 or clinically diagnosed cirrhosis. Entecavir antiviral therapy was mainly administered. Follow-up was conducted once every six months. Clinical data such as demographic information, blood routine tests, liver biochemical parameters, HBV virological and serological test results, and LSM were collected. Dynamic changes in LSM were categorized into four types based on LSM levels before treatment (0y) and following two years of antiviral therapy (2y) : (1) LSM 0y < 10 kPa and LSM 2y < 10 kPa, i.e., LSM persisted < 10 kPa; (2) LSM 0y < 10 kPa and LSM 2y ≥ 10 kPa, i.e., LSM increased to ≥ 10 kPa; (3) LSM 0y ≥ 10 kPa and LSM 2y < 10 kPa, i.e., LSM decreased to < 10 kPa; (4) LSM 0y ≥ 10 kPa and LSM 2y ≥ 10 kPa, i.e., LSM persisted ≥ 10 kPa. The predictive role of the dynamic changes of LSM in the occurrence of LREs was analyzed. The Wilcoxon rank-sum test was used for quantitative data. Fisher's exact test was used for categorical data. Multivariate analysis was performed using the Cox proportional hazards regression model. Survival curves were plotted and compared using the Kaplan-Meier. Results:A total of 713 CHB cases with liver fibrosis were included, among whom 512 had cirrhosis. The cumulative incidence of LREs following two years of antiviral therapy was low in patients with LSM 0y < 10 kPa during follow-up (all patients: LSM persisted < 10 kPa 1.6% vs. LSM increased to ≥ 10 kPa 0%; cirrhosis subgroup: LSM persisted < 10 kPa 0% vs. LSM increased to ≥ 10 kPa 0%). The 5-year cumulative incidence of LREs following two years of antiviral treatment was significantly higher in patients with LSM0y ≥ 10 kPa than in those with LSM persisting ≥ 10 kPa and those with LSM decreasing to < 10 kPa during follow-up (all patients: LSM persisted ≥ 10 kPa 12.4% vs. LSM decreased to < 10 kPa 3.6%; cirrhosis subgroup: LSM persisted ≥ 10 kPa 12.6% vs. LSM decreased to < 10 kPa 4.3%). Patients with LSM persisting at ≥ 10 kPa had a significantly increased risk of LREs following two years of antiviral treatment compared with those whose LSM decreased to <10 kPa during follow-up after adjusting for age, gender, baseline body mass index, platelet count, and alanine aminotransferase (all patients, aHR=2.96, 95% CI: 1.41～6.24, P=0.005; cirrhosis subgroup, aHR=2.74, 95% CI:1.26～5.95, P=0.011). Conclusions:LSM<10 kPa before antiviral treatment had a lower risk of liver-related endpoint events following two years of treatment among CHB patients with liver fibrosis. LSM ≥10 kPa before antiviral treatment and LSM persisted ≥10 kPa two years following treatment had a significantly higher occurrence risk of liver-related endpoints than LSM<10 kPa following treatment among CHB patients with liver fibrosis.

Objective:To dynamically assess liver fibrosis using magnetic resonance elastography (MRE) and explore factors associated with fibrosis reversal in patients with metabolic dysfunction-associated steatohepatitis (MASH).Methods:This study included data from patients diagnosed with MASH by liver biopsy who underwent at least two MRE examinations. Patients were divided into a fibrosis reversal group and a non-reversal group according to whether MRE values decreased by 20% during follow-up. Differences in clinical data between the groups were compared using analysis of variance, the Kruskal-Wallis test, and the chi-square test. Univariate and multivariate logistic regression analyses were used to explore independent risk factors for fibrosis reversal in MASH.Results:A total of 46 cases were included in this study (mean age 50.1±12.3 years, BMI 26.1±3.1 kg/m2). Among them, the reversal group accounted for 26.1%. The rate of decrease in MRI proton density fat fraction (PDFF) was significantly higher in the reversal group (-50.0% vs. -8.1%, P=0.001) than in the non-reversal group between the two MRE examinations. The reversal group showed a more significant change rate of decreases in fasting insulin (-37.3% vs. -3.6%, P=0.011), insulin resistance index (-38.6% vs. -6.5%, P=0.044), and ALP (-24.9% vs. 0, P=0.004). Multivariate logistic regression analysis indicated that the rate of change in MRI PDFF was an independent predictor of fibrosis reversal ( OR=0.96, 95% CI: 0.92-1.00, P=0.046). Conclusion:A decrease in MRI proton density fat fraction levels is independently associated with liver fibrosis reversal in MASH, suggesting that intervention targeting liver fat content may be an effective treatment strategy.

Objective To explore the relationship between pathogenic microorganism types,age and season in 2 188 children with respiratory tract infections.Methods A total of 2 188 children with respiratory tract in-fections admitted to the Department of Pediatrics,962 Hospital,Joint Logistic Support Force of PLA from June 2023 to May 2024 were selected as the study subjects.Targeted next generation sequencing(tNGS)tech-nology was used to detect 107 common pathogenic microorganism in children with respiratory tract infections,including Haemophilus influenzae,rhinovirus,Moraxella catarrhalis,Mycoplasma pneumoniae,Staphylococcus aureus,Streptococcus pneumoniae,human parainfluenza virus,human respiratory syncytial virus,etc.The re-spiratory tract infection situation and epidemiological characteristics of children in Harbin were analyzed.Re-sults Among 2 188 pediatric patients,98.5%(2 156/2 188)tested positive for pathogenic microorganism,with Haemophilus influenzae accounting for the highest proportion of 33.5%(732/2 188),followed by rhino-virus of 25.0%(547/2 188)and Moraxella catarrhalis of 24.8%(543/2 188).The positive rates of Hae-mophilus influenzae and human adenovirus in male children were higher than those in female children(P<0.05),while there were no statistically significant differences in the positive positive rates of other pathogenic microorganism between male and female children(P>0.05).Except for human adenovirus and influenza A virus,which showed no statistically significant differences in positive rates among different age groups(P>0.05),there were statistically significant differences in the positive rates of other pathogenic microorganism a-mong different age groups(P<0.05).The positive rates of pathogenic microorganism in preschool children were relatively high.There were no statistically significant differences in the positive rates of Streptococcus and Staphylococcus aureus in different seasons(P>0.05),while there were statistically significant differences in the positive rates of other pathogenic microorganism in different seasons(P<0.05).The positive rates of Haemophilus influenzae,Streptococcus pneumoniae,human metapneumovirus,human parainfluenza virus and SARS-Cov-2 were the highest in summer(P<0.05).Conclusion 2 188 children with respiratory tract infec-tions were mainly caused by pathogenic microorganism such as Haemophilus influenzae,rhinovirus,and Moraxella catarrhalis,etc.Preschool children is a susceptible group,and the prevalence of pathogenic microor-ganism varies seasonally.In clinical practice,relevant prevention and control measures should be developed based on this characteristic to reduce the incidence of diseases.

Objective To observe the value of ultrasound radiomics based on convolutional neural network(CNN)for predicting effect of neoadjuvant chemotherapy(NAC)for breast cancer.Methods Totally 164 women with breast cancer were retrospectively enrolled and divided into effective group(n=68)and ineffective group(n=96)according to the treatment response,also randomly divided into training set(n=131)and validation set(n=33)at the ratio of 8∶2.Based on ultrasound before NAC,radiomics features of breast cancer were extracted and screened with CNN,radiomics models were constructed with logistic regression(LR),support vector machine(SVM),K-nearest neighbor(KNN),random forest(RF)and multilayer perceptron(MLP),respectively.The best radiomics model was selected,deep learning score(DL-Score)was calculated,and the nomogram was drawn combined with clinical features.Results Among 5 radiomics models,MLP model had the best comprehensive efficacy for predicting effect of NAC for breast cancer,and its sensitivity,specificity and area under the curve(AUC)in training set was 77.78％,92.21％and 0.929,respectively,which in validation set was 78.57％,84.21％and 0.921,respectively.The estrogen or progesterone receptor,human epidermal growth factor receptor 2 and DL-Score were all independent predictors of NAC effect for breast cancer(all P＜0.05).The sensitivity,specificity and AUC of nomogram drawn based on the above independent predictors was 83.30％,92.21％and 0.953 in training set,85.71％,94.74％and 0.955 in validation set,respectively.AUC of the nomogram was slightly higher than that of MLP model,but no significant difference was found(both P＞0.05).The integrated discrimination improvement index showed that adding clinical features(i.e.the above-mentioned immunohistochemically indicators)could improve the predictive performance of radiomics models(P＜0.001).Conclusion Ultrasound radiomics based on CNN could be used to predict effect of NAC for breast cancer.Combining with immunohistochemically indicators might improve their efficacy.