Objective To explore the possibility of polymethyl methacrylate (PMMA) bone cement as the carrier for lipophilic drugs through in vitro cytotoxicity study and molecular modeling with PMMA and 17-allylamino-17-demethoxy-geldanamycin (17-AAG) loaded PMMA bone cement.Methods The 17-AAG loaded bone cement was made by mixing method.In vitro antitumor activity with MTT assay for PMMA,17-AAG,the 24 h and 48 h released solution of 17-AAG loaded PMMA bone cement were evaluated.Through Material Studio 5.0,the interaction between 17-AAG and PMMA through the model of Amorphous Cell and energy optimization of Forcite was explored.Results The inhibition ratio of MMA for tumor cells is 9.21％±0.06％ with 50 μmol/L.The 24 h released solution of 17-AAG loaded PMMA bone cement (17-AAG∶ PMMA=1∶ 4 000) inhibits the tumor cells 66.15％±0.43％ which has a quick released influence on 17-AAG.The inhibition of 24 h released solution of 17-AAG-loaded PMMA bone cement (17-AAG∶PMMA=1 ∶ 1 000,1∶2 000) shows no significance compared with PMMA released solution (P＜0.05).The 48 h released solution of 17-AAG-PMMA (17-AAG∶ PMMA=1∶ 1 000,1∶2 000,1∶4 000) inhibits U26630.25％±4.47％,30.24％±3.42％,50.52％±5.20％,with a significant difference with PMMA.The molecular model showed that the interaction between 17-AAG and PMMA was van der Waalz bonds,which drove 17-AAG inside or on the surface of PMMA bone cement.Conclusion PMMA bone cement can be used as a carrier for lipophilic drugs.It has antitumor activity and influences the release of 17-AAG with different ratio,for example it has a sustained-released influence on 17-AAG in 17-AAG-PMMA (17-AAG∶PMMA=1 ∶ 1 000,1∶2 000).Molecular model implies that 17-AAG exists inside or on the surface the PMMA bone cement through van der Waalz bonds.

Humans ; Child ; Child, Preschool ; Pinealoma ; Prognosis ; Brain Neoplasms/diagnosis* ; Pineal Gland

To compare the concepts of pharmaceutical care and health management , analyze their internal connections both in present background and implementation process .Further development and practice of pharmaceutical care under the new health manage -ment model were discussed .

Objective: To analyze the current status and related factors of comorbidity of myopia, obesity, and depression symptoms among middle school students in Beijing, so as to provide a basis for comprehensive public health interventions for common diseases. Methods: Through stratified cluster random sampling in October 2022, a total of 11 262 junior high school, senior high school, and vocational high school students in 16 districts of Beijing were surveyed with self administered questionnaires, physical examinations and visual acuity examinations. The χ 2 test and binary Logistic regression model were used to analyze group differences in the comorbidity of myopia, obesity and depression symptoms and factors influencing the comorbidity. Stratified analysis was applied to analyze the associations between health risk behaviors and the comorbidity. Results: The detection rate of comorbidity of myopia, obesity, and depression symptoms among middle school students in Beijing was 3.35%, the comorbidity rate among vocational high school students (4.61%) was higher than that in junior high school students (2.80%) and senior high school students (3.41%). The comorbidity rate was higher among students in suburban areas (3.66%) than that in urban areas (2.92%), and the differences was statistically significant ( χ 2=15.02, 4.63, P <0.05). Binary Logistic regression analyses indicated that middle school students with poor dietary behaviors ( OR =1.59) and excessive screen time ( OR =1.70) were associated with elevated risk of comorbidity of myopia, obesity, and depression symptoms. Both boys and girls with poor dietary behaviors ( OR =1.63, 1.69) and excessive screen time ( OR =1.45, 2.23) had elevated likelihood of comorbidity of myopia, obesity and depression symptoms. Students in junior high school and senior high school with poor dietary behaviors ( OR =2.16, 1.47) and excessive screen time ( OR =2.20, 1.63 ) had elevated likelihood of comorbidity of myopia, obesity, and depression symptoms ( P <0.05). Conclusions The current status of comorbidity of myopia, obesity, and depression symptoms among middle school students in Beijing is concerning. Schools and parents should work together to guide students to develop healthy behaviors such as balanced diet and moderate video, in order to achieve the goal of controlling myopia, obesity and depression symptoms.

Objective: This study aimed to identify clinicopathological factors predictive of lymph node metastasis in patients with the poorly differentiated early gastric cancer (EGC) to assess the feasibility of using endoscopic submucosal dissection (ESD). Methods: The records of patients with poorly differentiated early gastric cancer undergoing gastric radical resection between January 2012 and December 2016 were reviewed in Ruijin hospital. Those with distant metastasis, two or more malignant tumors, remnant gastric cancer, neo adjuvant therapy, previous history of gastric surgery or clear history of perigastric lymphadenectomy, and mixed tumors were excluded. Age, sex, presence of ulcerous lesion, tumor size, tumor location, depth of invasion, type of differentiation, lymphatic vessel invasion, vascular invasion, nerve invasion and HER2 expression were collected. Univariate and multivariate stepwise logistic regression analyses were used to identify the independent risk factors of perigastric lymph node metastasis.According to the Guidelines for the Treatment of Gastric Cancer (2018 edition) of the Chinese Society of Clinical Oncology (CSCO), the expanded indications of ESD for EGC are as follows: (1)no ulcerative lesions, the maximum diameter of lesions >2 cm of differentiated intramucosal cancer; (2)ulcerative lesions, the maximum diameter of lesions ≤3 cm of differentiated intramucosal cancer; (3)no ulcerative lesions, undifferentiated intramucosal carcinoma with diameter ≤2 cm. The relationship between clinicopathological factors and lymph node metastasis was analyzed. Results: A total of 517 patients, aged 21-83 (57.1±11.7), including 307 males and 210 females, were enrolled in the study. Among them, 114 (22.0%) patients had lymph node metastasis. Univariate analysis showed that ulcerative lesion (P=0.042), tumor diameter (P=0.048), depth of invasion (P<0.001), location of tumors (P<0.001), lymphatic vessel invasion (P=0.009), vascular invasion (P<0.001) and nerve invasion (P=0.028) were related to lymph node metastasis after radical resection of poorly differentiated early adenocarcinoma. Age, sex, type of differentiation and HER2 expression were not significantly correlated to lymph node metastasis (P>0.05). Multivariate analysis showed that tumor size (OR=1.61, 95% CI: 1.03-2.52, P=0.037), depth of invasion (OR=2.77, 95% CI:1.66-4.63, P<0.001), lymphatic duct invasion (OR=14.74, 95% CI:1.58-137.36, P=0.018) were independent risk factors for lymph node metastasis in poorly differentiated EGC, and ulcerative lesion was not a risk factor for lymph node metastasis (OR=0.82, 95% CI:0.56-1.18,P=0.285). A total of 119 patients with poorly differentiated EGC fully complied with the relative indications of ESD recommended by the Japanese Statute and the criteria for radical resection after ESD. Among them, 14 (11.8%) still had perigastric lymph node metastasis, while the gender, tumor diameter, location, differentiation and HER2 expression were not associated with lymph node metastasis (P>0.05). Conclusion For patients with poorly differentiated EGC, the application of ESD should be carefully weighed with precise assessment of tumor diameter, depth of invasion, and lymphatic duct invasion.

Objective To develop an effective decision tree management model for smart triage of nervous system diseases based on artificial neural networks and Bayesian decision theory. Methods Bayesian decision theory was used as the theoretical basis, and convolutional neural network was used to complete the rapid specialist / sub-specialist machine learning. For the specialist or sub-specialist triage data, circular neural network and Bayesian algorithm were performed to complete the probability distribution and convergence of disease symptoms and diagnosis. Results The decision tree management model and theoretical demonstration were established. According to the characteristics of the transfer learning, the rapid learning of nervous system diseases and accurate triage system, and the remote smart triage system were successfully constructed. Conclusions The management model could provide theoretical references for further use, and alleviate to some extent the currently high rate of outpatient appointment withdrawal and changes.

【Objective:】 To understand the current situation and influencing factors of ethical knowledge, attitude, and practice (KAP) among clinical researchers, enhance their ethical awareness, and improve the quality of clinical researches. 【Methods:】 A self-designed questionnaire was used to conduct a convenient sampling survey of medical staff who have participated in clinical study. 【Results:】 A total of 6,021 subjects were investigated, with males accounting for 28.46% and females accounting for 71.53%. The average age of them was (37.47±11.46) years old. The total score of ethics and the mean scores of the three dimensions of knowledge, attitude and practice were (70.62±12.99), (59.63±12.50), (79.55±19.62) and (74.92±18.29), respectively. Multiple linear regression analysis showed that researchers with male, tertiary hospitals, doctors, ethics-related part-time jobs, postgraduate education, associate senior title or above, and training experience scored higher (P<0.05). 【Conclusion:】 Ethical attitudes have a significant mediating effect between knowledge and practice, accounting for 62.72% of the total effect. Researchers recognize the importance of ethics, but it is urgent to strengthen their knowledge learning and practical application.