AIM: To evaluate the effect of remimazolam on early postoperative cognitive function in elderly patients with hip fracture based on a randomized controlled trial. METHODS: A total of 106 elderly patients, aged 65-90 years, ASA grade Ⅱ or III, who underwent hip fracture surgery under combined spinal-epidural anesthesia in the Sixth Affiliated Hospital of Wenzhou Medical University from December 2022 to June 2023 and met the inclusion criteria, were selected and randomized into remimazolam group (group R) and propofol group (group P) according to the random number table, with 53 cases in each group. Patients in group P received a slow intravenous injection of propofol at a dose of 0.3-0.5 mg / kg (injection time of 1min), followed by a pump infusion at 0.5-3 mg · kg

To analyze the disease group structure and its trends in key departments of large public hospitals using diagnosis related group (DRG) data, explore the key points of intervention and optimization of disease groups in departments, and further promote the rational allocation of department resources.

In July 2024, the National Healthcare Security Administration issued "Notice on Printing and Distributing the 2.0 Edition Grouping Scheme for Diagnosis Related Group(DRG) and Disease-based Payment and Further Advancing Related Work, " marking the official entry of China's DRG payment reform into the 2.0 era. In the 2.0 edition of the DRG grouping scheme, the number of DRGs has increased by six groups, and that of the adjacent DRGs has increased by 33 groups, featuring more scientific and reasonable grouping that aligns better with clinical practice. The National Healthcare Security Administration has also clarified five supporting management mechanisms, including the special case negotiation mechanism, the fund prepayment mechanism, the negotiation and consultation mechanism, the feedback mechanism for opinion collection, and the data disclosure mechanism. These are aimed at optimizing the management of DRG payment reform to ensure a win-win situation for medical institutions, healthcare security departments, and patients. The release of the DRG 2.0 edition provides medical institutions with more refined management tools and a more reasonable paymentmechanism. Medical institutions need to actively embrace this reform, optimize internal management, and improve service quality to achieve cost control and efficiency enhancement, ultimately leading to a win-win situation for patients, healthcare security funds, and medical institutions.

Objective:To study the time consumption of clinical trial projects in each link of contract signing in medical institutions and its influencing factors, to provide a reference for further optimizing the clinical trial management process and improving the efficiency of contract signing.Methods:All of the review records of projects that signed clinical trial contracts at Peking Union Medical College Hospital from January 1st, 2018 to December 31st, 2021 were retrospectively analyzed by comparing the time consumption in each link before signing the contracts and the frequency of contract reviews. Multiple linear regressions were applied to multivariate analyze the influence of different factors on contract signing.Results:A total of 761 clinical trial contracts signed at Peking Union Medical College Hospital from 2018 to 2021 were included in this study, and the average time consumption of contract signing was 127.0 days, among which the consumption of contract review by the hospital was 10.5 days and by sponsors was 99.0 days. The time consumption of contract signing has been decreasing in recent 4 years, from 154.0 days in 2018 to 104.0 days in 2021. The phase of clinical trials, category of sponsors, frequency of contract reviews, and different policies of the institutions were the main influencing factors for contract signing time ( P<0.05). Conclusions:Clinical trial institutions should optimize the contract approval progress, provide agreement templates and targeted service, and strengthen propaganda and information system construction, to improve the efficiency of reviewing and signing clinical trial contracts.

Objective: To analyze the epidemiological characteristics and related factors of obesity in children aged 3-6 years old in Hebei Province, and to provide a reference for childhood obesity prevention and control strategies. Methods: A total of 6 034 children aged 3-6 years were randomly selected from 11 cities in Hebei Province for physical examination and questionnaire survey. Results: The prevalence of obesity in 3-6 year old boys and girls in Hebei Province were 23.00% and 17.48 %, which differed significantly ( χ 2=28.51, P <0.01); The prevalence of obesity was higher in rural areas and children with ethnic minorities ( 20.06 %, 21.68%) than that of urban are and Han children (19.97%, 20.09%), with no significant differences ( χ 2= 0.01 , 0.78, P ＞0.05). Multivariate Logistic regression analysis revealed that boys( OR =1.45), birth weight no less than 4 000 g ( OR =2.80), high fat food consumption at least 3 times a week （OR =1.64), carbonated drinks consumption at least 3 times a week ( OR =4.71), insufficient fruits and vegetables consumption ( OR =1.22), physical activities less than 2 hours per day ( OR =1.82), maternal obesity ( OR =2.0), and lack of physical exercise of fathers ( OR =1.95) were significantly associated with higher risk for obesity among young children in Hebei Province ( P <0.01). Conclusion The prevalence of obesity among children aged 3-6 years in Hebei Province is at a high level at present. Many factors contribute to this epidemic such as genetics, poor diet and living habits. Promotion of healthy eating and lifestyle, as well as dissemination of reliable knowledge about childhood obesity are greatly needed.

Objective:To study the clinicopathological characteristics, treatment and prognosis in lupus nephritis (LN) patients with renal thrombotic microangiopathy (TMA), so as to provide more theoretical basis for clinicians to recognize and treat this disease.Methods:The clinical data of LN patients who underwent renal biopsy in the First Affiliated Hospital of Zhengzhou University from January 1, 2012 to May 31, 2019 were retrospectively collected and analyzed. According to renal clinicopathological examination, the patients were divided into renal TMA group and non-renal TMA group. The clinical data, laboratory examination, renal pathological examination, therapeutic measures and prognostic between the two groups were compared. Follow-up end points were defined as composite ends, including all-cause death, entry into end-stage renal disease, and estimated glomerular filtration rate decrease>50% of baseline. Kaplan-Meier survival curve and log-rank test were used to compare the difference of survival rate between the two groups, and multivariate Cox regression equation was used to analyze the risk factors of endpoint events in LN patients.Results:A total of 1 133 patients with LN were enrolled in this study. Patients with renal TMA were more likely to have hypertension ( χ2=16.310, P<0.001), higher baseline serum creatinine ( Z=-6.918, P<0.001) and 24-hour urine protein ( Z=-2.232, P=0.026), and higher renal pathology activity index (AI) score ( Z=1.957, P=0.001)and chronic index (CI) score ( Z=1.836, P=0.002). The proportions of hormone shock ( P<0.001) and plasma exchange ( P<0.001) in the renal TMA group were higher than those in non-renal TMA group. After treatment of (12±2) months, patients in the renal TMA group had a lower complete response rate ( χ2=10.455, P=0.001) and a higher non-response rate ( χ2=6.047, P=0.014) than those in non-renal TMA group, and were associated with worse prognosis (Log-rank test χ2=26.490, P<0.001). Renal TMA was an independent risk factor for poor prognosis ( HR=2.347, 95% CI 1.210-4.553, P=0.012). Conclusions:Compared with LN patients without renal TMA, LN patients with renal TMA are more likely to have hypertension, with higher serum creatinine, 24-hour urinary protein, AI and CI, suggesting poorer treatment response and renal prognosis. Moreover, renal TMA is an independent risk factor for poor prognosis in patients with LN.

A fundamental challenge that arises in biomedicine is the need to characterize compounds in a relevant cellular context in order to reveal potential on-target or off-target effects. Recently, the fast accumulation of gene transcriptional profiling data provides us an unprecedented opportunity to explore the protein targets of chemical compounds from the perspective of cell transcriptomics and RNA biology. Here, we propose a novel Siamese spectral-based graph convolutional network (SSGCN) model for inferring the protein targets of chemical compounds from gene transcriptional profiles. Although the gene signature of a compound perturbation only provides indirect clues of the interacting targets, and the biological networks under different experiment conditions further complicate the situation, the SSGCN model was successfully trained to learn from known compound-target pairs by uncovering the hidden correlations between compound perturbation profiles and gene knockdown profiles. On a benchmark set and a large time-split validation dataset, the model achieved higher target inference accuracy as compared to previous methods such as Connectivity Map. Further experimental validations of prediction results highlight the practical usefulness of SSGCN in either inferring the interacting targets of compound, or reversely, in finding novel inhibitors of a given target of interest.
Drug Delivery Systems ; Proteins ; Transcriptome

Currently, cell transplantation in combination with scaffold materials are one of the main strategies in periodontal bone tissue engineering. In periodontal bone tissues, the stiffness and spatial structure of tissues such as alveolar bone and cementum differ, and the difference in mechanical properties of scaffolds also has disparate effects on the proliferation and differentiation of stem cells. Accumulating evidence shows that mechanical stimulating factors such as matrix stiffness and scaffold topography modulate biological behaviors of various seeding cells, including adipose-derived stem cells and periodontal ligament stem cells. A hard matrix can promote cytoskeletal stretching of stem cells, leading to nuclear translocation of Yes-associated protein (YAP) and promoting osteogenic differentiation by upregulating alkaline phosphatase (ALP) and osteocalcin (OCN) via the Wnt/β-catenin pathway. The topologic structure of scaffolds can affect cell adhesion and cytoskeletal remodeling, increase the hardness of cells and promote the osteogenic differentiation of stem cells. In this paper, the effects of mechanical stimulation on the differentiation of stem cells in periodontal bone tissue engineering are reviewed.

Objective:To establish a prediction model of postoperative 1-year mortality risk in elderly patients undergoing hip fracture surgery and verify its efficacy.Methods:Patients of both sexes, aged ≥65 yr, of American Society of Anesthesiologists physical status Ⅰ-Ⅳ, who underwent an operation for traumatic hip fracture in the Second Affiliated Hospital of Wenzhou Medical University from January 2017 to December 2018, were enrolled and randomly assigned to model group and verification group in a ratio of 3∶1.The demographic characteristics, clinical data and results such as laboratory examinations were collected.In model group, the logistic regression analysis was used to recognize the independent risk factors for 1-year mortality after procedure, and the prediction model was established.In verification group, the prediction efficacy was analyzed using the receiver operating characteristic curve, and the degree of fitting was evaluated by Hosmer-Lemeshow goodness-of-fit test.Results:Multivariate logistic analysis indicated that age ≥84 yr, Charlson comorbidity index ≥2 points, Braden score on admission to hospital ≤16 points, preoperative urea nitrogen ≥8.8 mmol/L and postoperative albumin ≤ 29.6 g/L were the independent risk factors for 1-year mortality after hip fracture surgery in elderly patients ( P<0.05). The prediction model was established based on the risk factors mentioned above.The area under receiver operating characteristic curve was 0.870, and the sensitivity and specificity were 82.8% and 80.0%, respectively.The prediction model showed good fitting ( χ2=4.672, P=0.700). Conclusion:Age ≥84 yr, Charlson comorbidity index ≥2 points, Braden score on admission to hospital≤16 points, preoperative urea nitrogen ≥8.8 mmol/L and postoperative albumin ≤ 29.6 g/L are the independent risk factors for 1-year mortality after hip fracture surgery in elderly patients, and the prediction model established based on the above indicators has good efficacy.

Extracellular vesicles (EVs) refer to bilayer membrane transport vesicles secreted by cells. EVs can take macromolecules from cells and transfer them to receptor cells. Among these macromolecular substances, the most studied are microRNAs (miRNAs). miRNA is non-coding RNA involved in the regulation of gene expression. It has been confirmed that there are different non-coding RNAs in mammalian follicular fluid EVs. EVs carrying miRNA can act as an alternative mechanism for autocrine and paracrine, affecting follicular development. This paper systematically introduced the kinds, characteristics and methods of isolation and identification of EVs, focusing on the effects of EVs and miRNAs on follicular development, including early follicular development, oocyte maturation, follicular dominance and effects on granulosa cell function. At the same time, the authors prospected the future research of EVs and microRNAs in follicular fluid, and provided ideas and directions for the research and application of EVs and miRNA functions in follicular fluid.
Animals ; Extracellular Vesicles ; metabolism ; Female ; Follicular Fluid ; chemistry ; Granulosa Cells ; drug effects ; MicroRNAs ; pharmacology ; Oogenesis ; drug effects