Endometrial carcinoma (EC) is one of the most common gynecologic malignancies, with the majority of patients diagnosed at an early stage. Surgery is the primary treatment modality, and postoperative risk stratification plays a key role in guiding adjuvant therapy decisions. Lymphovascular space invasion (LVSI) is an important pathological feature that affects the prognosis of patients and serves as one of the key factors in risk stratification. This review summarizes the prognostic significance of LVSI in patients with early-stage EC and its impact on the selection of adjuvant therapies, aiming to provide new insights for exploring precise and individualized diagnosis and treatment.

Endometrial carcinoma (EC) is one of the most common gynecologic malignancies, with the majority of patients diagnosed at an early stage. Surgery is the primary treatment modality, and postoperative risk stratification plays a key role in guiding adjuvant therapy decisions. Lymphovascular space invasion (LVSI) is an important pathological feature that affects the prognosis of patients and serves as one of the key factors in risk stratification. This review summarizes the prognostic significance of LVSI in patients with early-stage EC and its impact on the selection of adjuvant therapies, aiming to provide new insights for exploring precise and individualized diagnosis and treatment.

Objective To construct risk prediction models of death or readmission in patients with acute heart failure(AHF)during the vulnerable phase based on machine learning algorithms and screen the optimal model.Methods A total of 651 AHF patients with admitted to Department of Cardiology of the Second Affiliated Hospital of Army Medical University from October 2019 to July 2021 were included.The clinical data consisting of admission vital signs,comorbidities and laboratory results were collected from electronic medical records.The composite endpoint was defined as all-cause death or readmission for worsening heart failure within 3 months after discharge.The patients were divided into a training set(521 patients)and a test set(130 patients)in a ratio of 8:2 through the simple random sampling.Six machine learning models were developed,including logistic regression(LR),random forest(RF),decision tree(DT),light gradient boosting machine(LGBM),extreme gradient boosting(XGBoost)and neural networks(NN).Receiver operating characteristic(ROC)curve and decision curve analysis(DCA)were used to evaluate the predictive performance and clinical benefit of the models.Shapley additive explanation(SHAP)was used to explain and evaluate the effect of different clinical characteristics on the models.Results A total of 651 AHF patients were included,of whom 203 patients(31.2%)died or were readmitted during the vulnerable phase.ROC curve analysis showed that the AUC values of the LR,RF,DT,LGBM,XGBoost and NN model were 0.707,0.756,0.616,0.677,0.768 and 0.681,respectively.The XGBoost model had the highest AUC value.DCA showed that the XGBoost model exhibited greater clinical net benefit compared with other models,with the best predictive performance.SHAP algorithm analysis showed that the clinical features that had the greatest impact on the output of the model were serum uric acid,D-dimer,mean arterial pressure,B-type natriuretic peptide,left atrial diameter,body mass index,and New York Heart Association(NYHA)classification.Conclusion The XGBoost model has the best predictive performance in predicting the risk of death or readmission of AHF patients during the vulnerable phase.

ObjectiveTo understand the awareness of knowledge about chronic obstructive pulmonary disease （COPD） and influencing factors among residents in Yangpu District， Shanghai. MethodsWe used cluster random sampling method to conduct face-to-face questionnaire surveys on selected household residents in 12 streets of Yangpu District. The survey questions included their understanding of COPD name， lung function test， and COPD related knowledge. Multivariate logistic regression analysis was used to analyze the influencing factors of awareness rate. ResultsA total of 1 440 people were ultimately included in the analysis， and the awareness rates of COPD name， lung function test， and COPD awareness were 19.93%， 18.61%， and 14.95%， respectively. Among the people who knew the name of COPD， awareness rate of shortness of breath or dyspnea was the highest （84.12%） in the three main symptoms of COPD. Among the main risk factors of COPD， second-hand smoke（86.78%）and smoking （85.82%） were the highest. The main ways to obtain knowledge of COPD names were through television （12.60%） and the internet （11.97%）. The results of multivariate logistic regression analysis showed that men were significantly higher than women in the awareness of COPD name， lung function test， and COPD knowledge， with the OR values of （OR=1.39， 95%CI：1.08‒1.79）， （OR=1.47，95%CI：1.12‒1.92） and （OR=1.37，95%CI：1.02‒1.84）， respectively. The awareness rate of COPD names and lung function tests was the highest among people aged ≥ 65 years old， while the awareness rate of COPD knowledge was the highest among people aged 35‒50 years old. The awareness rate of COPD names was the highest among people with college education or above， civil servants， teachers， and medical staff， people with an annual household income of 100 000‒200 000 yuan. ConclusionThe overall awareness rate of COPD names， lung function tests， and COPD related knowledge among residents in Yangpu District is still at a low level. We should intensify the promotion and education of COPD among key groups such as women， young people， and those with low income， in order to improve the overall awareness rate of COPD among the population.

Epigenomic imbalance drives abnormal transcriptional processes,promoting the onset and progression of cancer.Although defective gene regulation generally affects carcinogenesis and tumor suppression networks,tumor immunogenicity and immune cells involved in antitumor responses may also be affected by epigenomic changes,which may have significant implications for the development and application of epigenetic therapy,cancer immunotherapy,and their combinations.Herein,we focus on the impact of epigenetic regulation on tumor immune cell function and the role of key abnormal epigenetic processes,DNA methylation,histone post-translational modification,and chromatin structure in tumor immunogenicity,and introduce these epigenetic research methods.We emphasize the value of small-molecule inhibitors of epigenetic modulators in enhancing antitumor immune responses and discuss the challenges of developing treatment plans that combine epigenetic therapy and immuno-therapy through the complex interaction between cancer epigenetics and cancer immunology.

Tardive dyskinesia (TD) is a medication-induced hyperkinetic movement disorder, generally manifested as involuntary spasms or choreiform movements of the tongue, lower face and jaw, and limbs (lasting at least several weeks). It occurs after using neuroleptic medication for at least several months, causing irreversible injuries to the nerve system and significantly impacting patients′ daily function. This review summarizes recent research progress regarding TD risk factors, possible pathogenesis, clinical characteristics, assessment and identification, and treatment and management approaches. The goal is to raise awareness of TD to archive early prevention and identification, standardize treatment, and improve patients′ prognosis and quality of life.

Purpose: The poor retention and ambiguous differentiation of stem cells (SCs) within corpus cavernosum (CC) limit the cell application in erectile dysfunction (ED). Herein, the effects and mechanism of microRNA-145 (miR-145) gene modification on modulating the traits and fate of bone marrow-derived mesenchymal stem cells (BMSCs) were investigated. Materials and Methods: The effects of miR-145 on cell apoptosis, proliferation, migration, and differentiation were determined by flow cytometry, cell counting kit-8, transwell assays and myogenic induction. Then, the age-related ED rats were recruited to four groups including phosphate buffer saline, BMSC, vector-BMSC, overexpressed-miR-145-BMSC groups. After cell transplantation, the CC were harvested and prepared to demonstrate the retention and differentiation of BMSCs by immunofluorescent staining. Then, the target of miR-145 was verified by quantitative real-time polymerase chain reaction and immunohistochemical. After that, APTO-253, as an inducer of Krüppel-like factor 4 (KLF4), was introduced for rescue experiments in corpus cavernosum smooth muscle cells (CCSMCs) under the co-culture system. Results: In vitro, miR-145 inhibited the migration and apoptosis of BMSCs and promoted the differentiation of BMSCs into smooth muscle-like cells with stronger contractility. In vivo, the amount of 5-ethynyl-2′-deoxyuridine (EdU)+cells within CC was significantly enhanced and maintained in the miR-145 gene modified BMSC group. The EdU/CD31 co-staning was detected, however, no co-staining of EdU/α-actin was observed. Furthermore, miR-145, which secreted from the gene modified BMSCs, dampened the expression of KLF4. However, the effects of miR-145 on CCSMCs could be rescued by APTO-253. Conclusions Overall, miR-145 modification prolongs the retention of the transplanted BMSCs within the CC, and this effect might be attributed to the modulation of the miR-145/KLF4 axis. Consequently, our findings offer a promising and innovative strategy to enhance the local stem cell-based treatments.

Tardive dyskinesia (TD) is a medication-induced hyperkinetic movement disorder, generally manifested as involuntary spasms or choreiform movements of the tongue, lower face and jaw, and limbs (lasting at least several weeks). It occurs after using neuroleptic medication for at least several months, causing irreversible injuries to the nerve system and significantly impacting patients′ daily function. This review summarizes recent research progress regarding TD risk factors, possible pathogenesis, clinical characteristics, assessment and identification, and treatment and management approaches. The goal is to raise awareness of TD to archive early prevention and identification, standardize treatment, and improve patients′ prognosis and quality of life.

Objective:To explore the effect of the "trinity" training mode with curriculum training as the core, lecture training as supplement and community training as reinforcement, and to improve the health education ability of higher vocational nursing students.Methods:A total of 209 nursing students were selected as the research objects by random cluster sampling, and they were randomly divided into experimental group and control group. The experimental group adopted the "trinity" system to improve the health education ability of higher vocational nursing students, while the control group carried out the routine teaching. The health education ability of nursing students was evaluated by using the health education ability scale of nursing staff, and the nursing students of the experimental group were investigated by questionnaire. Statistics analysis was made by SPSS 15.0 software, the t test was conducted for analysis of measurement data, and Z test was used for counting data. Results:The health education ability of the nursing students in the experimental group was significantly higher than that of the control group ( P < 0.001). Nursing students in the experimental group generally had high recognition of the training mode of "trinity" system. The pass rate was 98.13%. Among them, 68.87% of the nursing students thought it would be a big gain to attend the special lectures; 69.81% of the nursing students thought it would be a big gain to participate in the community activities. Conclusion:The "trinity" health education ability training model can significantly improve the health education ability of higher vocational nursing students.