ObjectiveTo explore course content and teaching-learning strategies of advanced nursing practice in graduate nursing education, so as to provide reference for nursing schools to develop relevant courses.MethodsA teamof course teachers was set up, and the course was developed. The course was implemented in grade 2015 and 2016 graduate nursing students. The students’ perception and evaluation of course contents, teaching methods, teaching quality, curriculum value and course satisfaction were collected through questionnaires and interviews.ResultsA totalof 23 students were enrolled. The mean scores of teaching quality, curriculum value and course satisfaction were 93.48±1.01, 51.04±4.88, and 17.00±2.28, respectively. Students recognized the necessity and the importance of including the advanced nursing practice in each specialty in the course content, and hoped to add in practice sections.ConclusionsIt is advisable to include the advanced nursing practice in each specialty as well as the practice section, so as to strengthen the students’ concrete understanding of the advanced nursing practice. Seminar and discussion are the teaching methods with first priority.
ObjectiveTo observe the protective effect of polypyrimidine bundle-binding protein-related splicing factor (PSF) over-expression on RPE cell injury induced by advanced glycation end products (AGEs).MethodsThe human RPE cells cultured in vitro were divided into three groups: normal control group (N group), blank control group (N + AGEs group), empty vector control group (Vec + AGEs group), and PSF high expression group (PSF + AGEs). group). RPE cells in N group were routinely cultured; RPE cells in N + AGEs group were only transfected but did not introduce any exogenous genes combined with AGEs induction; Vec +AGEs group and PSF + AGEs group were transfected with pcDNA The empty vector or pcDNA-PSF eukaryotic expression plasmid was introduced into RPE cells and induced by AGEs. Except the N group, the other 3 groups of cells were transfected accordingly, and were stimulated with 150 μg/ml AGEs for 72 h after 24 h. HE staining and Hoechst 33258 staining were used to observe the effect of high PSF expression on the morphological changes of RPE cells; ROS level detection was used to analyze the effect of PSF high expression on the ROS expression of RPE cells induced by AGEs; MTT colorimetric method was used to detect the high PSF expression Effects on the viability of RPE cells; Western blot was used to detect the effects of different time and dose of PSF on the expression of heme oxygenase 1 (HO-1).ResultsHE staining and Hoechst 33258 staining observation showed that the cells in group N were full in shape, the nucleus was round, the cytoplasm was rich, and the staining was uniform; the cells in N + AGEs group and Vec + AGEs group were reduced in size, the eosinophilic staining was enhanced, and the nucleus was densely densely stained. Pyrolysis and even fragmentation; the morphology of cells in the PSF + AGEs group was still full, the cytoplasm staining was more uniform, and the nucleus staining was uniform. The results of MTT colorimetry showed that high expression of PSF can effectively improve the viability of RPE cells, but this effect can be effectively antagonized by ZnPP, and the difference is statistically significant (F=33.26, P＜0.05). DCFH-DA test results showed that compared with the N + AGEs group and Vec + AGEs group, the ROS production in PSF + AGEs group decreased, the difference was statistically significant (F=11.94, P＜0.05). Western blot analysis showed that PSF protein up-regulated HO-1 expression in a time- and dose-dependent manner. The relative expression level of HO-1 at 24, 48, and 72 h after PSF protein was significantly higher than that at 0 h, and the difference was statistically significant (F=164.91, P＜0.05). The relative expression level of HO-1 under the action of 0.1, 0.5, 1.0, 1.5, and 2.0 μg PSF protein was significantly higher than 0.0 μg, and the difference was statistically significant (F=104.82, P＜0.05).ConclusionPSF may inhibit the production of ROS by up-regulating the expression of HO-1, thus protecting the RPE cells induced by AGEs.
The International Liaison Committee on Resuscitation published the 2022 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science with Treatment Recommendations in Circulation, Resuscitation, and Pediatrics in November 2022. This consensus updates and recommends important aspects of cardiopulmonary resuscitation based on recently published resuscitation evidence. Herein, we interpret the consensus focusing on adult cardiopulmonary resuscitation including basic life support (ventilation techniques, compressions pause, transport strategies during resuscitation, and resuscitation procedures in drowning), advanced life support (target temperature management, point-of-care ultrasound as a diagnostic tool during cardiac arrest, vasopressin and corticosteroids for cardiac arrest, and post-cardiac arrest coronary angiography), cardiopulmonary resuscitation education/implementation/team (survival prediction after resuscitation of patients with in-hospital cardiac arrest, basic life support training, advanced life support training, blended learning for life support education, and faculty development approaches for life support courses) and recovery positions on rescue scene. This consensus provides important guidance for clinical practice and clear hints for the development of clinical research.
Objective To investigate the effects of glycation pro ducts on growth and cytosoic free calcium (［Ca2+］i) of bovine retinal capillary pericytes. Methods The changes of growth and ［Ca2+］i of bovine retinal pericytes,which were cultured in early glycation products of bovine serum albumin (EG-BSA) and advanced glycation end products of bovine serum albumin (AGE-BSA),were studied by counting cell numbers,MTT colorimetric assay,［3H］thymidine incorporating,and fluorescent indicator fura-2 acetoxymeth1 ester (Fura-2AM). Results The number of alive pericytes in groups of EG-BSA and AGE-BSA were 17.87plusmn;2.36 and 14.77plusmn;3.72 which comparing with their control groups (20.54plusmn;0.82 and 20.31plusmn;0.93)were de creased 13．00% and 27．00% (Plt;0.01) by counting cell numbers on a counting plate after four days.The results were 0.4619plusmn;0.0946 and 0.3884plusmn;0.1031 which comparing with their control groups (0.5236plusmn;0.0539 and 0.5227plusmn;0.0519)were decreased 12．00% and 25.70% (Plt;0.01) by MTT colorimetric assay.Amount of ［3H］thymidine incorporating in groups of EG-BSA and AGE-BSA were 39450.16plusmn;887 0.68 and 33667.85plusmn;10581.70 which comparing with their control groups (56373.63plusmn;2317.97 and 56542.04plusmn;1961.23)were decreased 30．00% and 40.40% (Plt;0.01).The ［Ca2+］i concentration of pericytes in groups of EG-BSA and AGE-BSA were (129.55plusmn;30.41) nmol/L and (179.71plusmn;56.69) nmo l/L which comparing with their control groups ［(79.70plusmn;6.94) nmol/L and (83.plusmn;6.39) nmo l/L］ were increased to 163．00% and 214．00%. Conclusion Both EG-BSA and AGE-BSA can inhibit the proliferation and DNA syntheses of retinal capillary pericytes,and increased ［Ca2+］i concentration in pericytes,especially the AGE-BSA. (Chin J Ocul Fundus Dis，2000，16：139-212)
Objective To externally validate a prediction model based on clinical and CT imaging features for the preoperative identification of high-grade patterns (HGP), such as micropapillary and solid subtypes, in early-stage lung adenocarcinoma, in order to guide clinical treatment decisions. Methods This study conducted an external validation of a previously developed prediction model using a cohort of patients with clinical stage ⅠA lung adenocarcinoma from the Fourth Hospital of Hebei Medical University. The model, which incorporated factors including tumor size, density, and lobulation, was assessed for its discrimination, calibration performance, and clinical impact. Results A total of 650 patients (293 males, 357 females; age range: 30-82 years) were included. The validation showed that the model demonstrated good performance in discriminating HGP (area under the curve>0.7). After recalibration, the model's calibration performance was improved. Decision curve analysis (DCA) indicated that at a threshold probability>0.6, the number of HGP patients predicted by the model closely approximated the actual number of cases. Conclusion This study confirms the effectiveness of a clinical and imaging feature-based prediction model for identifying HGP in stage ⅠA lung adenocarcinoma in a clinical setting. Successful application of this model may be significant for determining surgical strategies and improving patients' prognosis. Despite certain limitations, these findings provide new directions for future research.
Objective To determine the association of -429T/C and G1704T polymorphisms in the receptor for advanced glycation end products gene with proliferative diabetic retinopathy (PDR). Methods Case-control study. From the Beijing Desheng Diabetic Eye Study cohort of 1467 patients with type 2 diabetes mellitus (T2DM),atotal of 97 patients with PDR and 105 diabetic patients without retinopathy (DWR, duration of diabetes 15 years) were included for this study. Questionnaires were collected and general ophthalmologic examinations were performed. Biochemical analysis was conducted. DNA was extracted from peripheral venous blood. The -429T/C and G1704T single nucleotide polymorphisms were detected by the means of PCR-restrication fragment length polymorphisms. Results The frequency distribution of -429T/C in DWR group was 81.0% in TT, 16.1% in TC, 2.9% in CC. The frequency distribution of -429T/C in PDR group was 77.3% in TT, 20.6% in TC, 2.1% in CC. There was no significant statistical difference between the two groups (χ2=0.40, P > 0.05). Frequency of the -429T/C minor alleleCin the DWR and PDR group were 11.0% and 12.4%, respectively, with no significant statistical difference between the two groups (χ2=0.20，P > 0.05). The frequency distribution of G1704T in DWR group was 66.7% in GG, 29.5% in GT, 3.8% in TT. The frequency distribution of G1704T in PDR group was 78.4% in GG, 21.6% in GT. There was no significant statistical difference between the two groups (χ2=3.44, P > 0.05). Frequency of the G1704T minor alleleTin the DWR and PDR group were 18.6% and 10.8%, respectively, in which significant difference was found within the two groups (χ2=4.79, OR=1.88，95%CI: 1.06 - 3.33, P > 0.05). Conclusions G1704T polymorphism is associated with PDR presence and 1704G allele may increase the risk of PDR.
High-grade serous ovarian cancer has a high degree of malignancy, and at detection, it is prone to infiltration of surrounding soft tissues, as well as metastasis to the peritoneum and lymph nodes, peritoneal seeding, and distant metastasis. Whether recurrence occurs becomes an important reference for surgical planning and treatment methods for this disease. Current recurrence prediction models do not consider the potential pathological relationships between internal tissues of the entire ovary. They use convolutional neural networks to extract local region features for judgment, but the accuracy is low, and the cost is high. To address this issue, this paper proposes a new lightweight deep learning algorithm model for predicting recurrence of high-grade serous ovarian cancer. The model first uses ghost convolution (Ghost Conv) and coordinate attention (CA) to establish ghost counter residual (SCblock) modules to extract local feature information from images. Then, it captures global information and integrates multi-level information through proposed layered fusion Transformer (STblock) modules to enhance interaction between different layers. The Transformer module unfolds the feature map to compute corresponding region blocks, then folds it back to reduce computational cost. Finally, each STblock module fuses deep and shallow layer depth information and incorporates patient's clinical metadata for recurrence prediction. Experimental results show that compared to the mainstream lightweight mobile visual Transformer (MobileViT) network, the proposed slicer visual Transformer (SlicerViT) network improves accuracy, precision, sensitivity, and F1 score, with only 1/6 of the computational cost and half the parameter count. This research confirms that the proposed algorithm model is more accurate and efficient in predicting recurrence of high-grade serous ovarian cancer. In the future, it can serve as an auxiliary diagnostic technique to improve patient survival rates and facilitate the application of the model in embedded devices.
High-grade gliomas are the most common malignant primary central nervous system tumors with poor prognosis. The operation based on the principle of maximum safe resection of tumors, combined with radiation therapy and chemotherapy, is the primary treatment method. This treatment only delays the progression of high-grade gliomas, and almost all patients eventually develop disease progression or relapse. With the development of molecular biology, immunology, and genomics, people have a deeper understanding of the pathogenesis of gliomas. Targeted therapy, immunotherapy, and other comprehensive treatments are expected to become potential treatments for high-grade gliomas. This article reviews the current status of medical treatment of primary and recurrent high-grade gliomas, and the research progress of high-grade gliomas in targeted therapy and immunotherapy.