ObjectiveTo investigate the correlation between sleep patterns and myopia progression among younger school-age children at a primary school in Changning District of Shanghai, based on the data from the Shanghai Students’ Common Diseases and Health Influencing Factors Monitoring System and a sleep-specific survey, so as to provide data support for myopia prevention and control in this age group. MethodsOne primary school was selected from the common diseases and health influencing factors monitoring system for students in Changning District, Shanghai. A total of 230 first-grade students were included in the study. Myopia and refractive parameters were examined, and sleep patterns were investigated. General demographic characteristics and myopia-related behavior data of the students were also collected. Sleep patterns were evaluated in terms of sleep duration, sleep efficiency, and sleep quality, with the latter assessed using the Chinese version of the Children’s Sleep Habits Questionnaire (CSHQ). Multiple linear regression and binary logistic regression models were used to analyze the association between sleep patterns and myopia progression among these students. ResultsThe results of the regression analyses revealed that the total CSHQ score of the students at baseline survey was (48.85±7.15) points. Their sleep efficiency was (94.49±8.48)%, sleep duration was (9.58±0.93) hours, and the proportion of those with insufficient sleep (<10 hours) was 78.26%. At baseline survey, students’ higher daytime sleepiness scores were associated with lower spherical equivalent (SE) ( β=-0.18, 95%CI: -0.31 to -0.04) and an increased risk of axial length (AL) / corneal radius (CR) ratio >3 (OR=1.52, 95%CI: 1.00 to 2.29), whereas longer sleep duration and higher sleep efficiency were associated with higher SE (β=0.18, 95%CI: 0.05 to 0.32; β=0.17, 95%CI: 0.04 to 0.31, respectively), shorter (AL) (β=-0.15, 95%CI: -0.27 to -0.03; β=-0.13, 95%CI: -0.25 to 0, respectively) and a reduced risk of AL /CR>3 (OR=0.70, 95%CI: 0.51 to 0.96; OR=0.73, 95%CI: 0.53 to 0.99, respectively). At baseline survey, children’s higher propensity for sleep problems (OR=1.70, 95%CI: 1.04 to 2.78), sleep resistance (OR=2.26, 95%CI: 1.36 to 3.75), and sleep anxiety scores (OR=2.15, 95%CI: 1.33 to 3.48) were all associated with an increased risk of AL/CR >3 at follow-up (all P<0.05). Furthermore, higher sleep anxiety scores predicted prolonged AL at follow-up (β=0.03, 95%CI: 0 to 0.05). According to the mixed-effects model, higher daytime sleepiness scores and prolonged sleep duration were independently linked to reduced right-eye SE (β=-0.05, 95%CI: -0.10 to 0, P<0.05) and shorter right-eye AL (β=-0.05, 95%CI: -0.10 to 0, P<0.05). ConclusionIn this school in Shanghai, there are problems of insufficient and poor-quality sleep among young children. Sleep problems such as sleep resistance, delayed sleep onset, sleep anxiety, and daytime sleepiness among children may accelerate the risk of myopia progression, while longer sleep duration and higher sleep efficiency may serve as protective factors against the occurrence and development of myopia.

To explore the inhibitory effect of ginkgolide B (GB) on MH7A human fibroblast-like synoviocytes (FLS) and its potential mechanism. Firstly, 20 μg/L tumor necrosis factor-α (TNF-α) was pretreated with MH7A to establish a cell model of arthritis. After incubation of MH7A cells with various concentrations of GB, CCK-8 assay, Transwell assay, and flow cytometry (FCM) were separately used to detect cell viability, cell invasion, and cell apoptosis rate and cell cycle; Real-time quantitative PCR and Western blot assay were performed to detect the apoptosis- and cycle-related gene transcriptions and protein expressions, respectively. The results showed that compared with the control group, GB dose- and time-dependently suppressed cell viability to a greater extent; GB significantly reduced cell invasive ability and increased cell apoptosis rate and proportion of G0/G1 phase in MH7A cells, along with increased transcription levels of Bcl-2-associated X protein (Bax) and p21 mRNA and decreased transcription levels of Bcl-2, myeloid cell leukemia 1(Mcl-1), protein kinase B (PKB; AKT), IP3K, Cyclin D1 and cyclin-dependent kinase 4 (CDK4) mRNA; GB remarkably increased expression levels of Bax, p21, and cleaved-Caspase 3 protein and decreased expression levels of Bcl-2, Mcl-1, p-AKT, p-PI3K, Cyclin D1, and CDK4 protein, with decreased ratios of p-PI3K/PI3K, p-AKT/AKT, and Bcl-2/Bax. In conclusion, GB blocks the G1-to-S cell cycle transition, suppresses cell viability and cell invasion and induces cell apoptosis of MH7A human RA-FLS via suppressing the PI3K/AKT signaling pathway.

Objective To develop a risk predictive model of cognitive decline in a prospective cohort study in rural area of Xi'an and compare the predictive performance with that of the classical CAIDE model.Methods The cohort was established between October 2014 and March 2015 in two selected villages in rural Xi'an.Mini-Mental State Examination(MMSE)was applied to assess global cognition at baseline and 4-year follow-up,and cognitive decline was defined as a drop of ≥4 points in MMSE after 4-year follow-up.Participants were randomly split into training set and validation set in a ratio of 7∶3.The Logistic regression analysis was used to develop the predictive model,and the area under the receiver operating characteristic(ROC)curve was applied to assess the performance of the risk model.Results Occurrence of cognitive decline after 4-year follow-up was 4.15％.Future cognitive decline was significantly predicted by age,low education and stroke(AUC in training set=0.73,95％CI:0.63-0.79;AUC in valid data=0.77,95％CI:0.67-0.87),while the classical CAIDE model did not predict the risk of cognitive decline well(AUC=0.68,95％CI:0.61-0.75).The results differed after stratification by APOE genotype,and showed a better predictive value of both our model(AUC=0.87,95％CI:0.78-0.96)and CAIDE model(AUC=0.89,95％CI:0.81-0.98)in APOE ε4 carriers.Conclusion The predictive model was developed based on age,educational level and stroke,and it predicted relatively well 4-year cognitive decline as compared with traditional CAIDE model,especially in APOE ε4 carriers.However,the model should be validated after longer follow-up and further improved to increase its predictive value.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Skeletal muscle is the largest metabolic and endocrine organ in the body.As the basic unit of skeletal muscle,muscle fiber has high plasticity.Skeletal muscle fibers are mainly divided into oxidative and glycolytic muscle fibers,and muscle fibers type is an important factor affecting the contraction and energy metabolism of skeletal muscle.Understanding the molecular mechanism regulating skeletal muscle fiber type conversion is of great significance for regulating skeletal muscle-related diseases.Mitochondria is the energy factory of cell life activities,and the characteristics of mitochondria,namely the content,shape and distribution of mitochondria,are closely related to the function of mitochondria.The mitochon-drial characteristics of various types of muscle fiber are different,which is related to the difference of en-ergy metabolism of different muscle fiber types.Mitochondrial homeostasis is a dynamic equilibrium process,which is usually regulated by mitochondrial biogenesis,mitochondrial fusion and fission,mito-chondrial autophagy and other processes.These processes not only affect the morphology and quantity of mitochondria,but also affect the metabolic balance of glucose and fatty acids in the body.Many studies have also shown that mitochondria-mediated changes in the substrates of energy metabolism of skeletal muscle affect the type conversion process of skeletal muscle fiber.Exercise is a non-drug treatment that can generally promote the formation of oxidized muscle fibers by maintaining skeletal muscle mitochondri-al homeostasis.In this paper,the mitochondrial characteristics of different types of skeletal muscle fibers and the role of maintaining mitochondrial homeostasis in regulating muscle fiber type conversion were re-viewed.On this basis,the molecular mechanism of mitochondrial involvement in PGC1α,Ca2+and ROS signaling pathways mediated by fiber type conversion of skeletal muscle was summarized.Mitochondria are the energy factories of skeletal muscle,and targeted intervention through understanding their regulato-ry mechanism may be a new direction for the treatment of skeletal muscle-related diseases in the future.

Objective:To construct an indicator system for a nursing science and technology innovation curriculum guided by innovation competence, in order to provide a reference for cultivating innovation ability in nursing students.Methods:The overall research period was from March to December 2024. A nursing innovation curriculum indicator framework was initially developed through literature analysis and brainstorming. From October to December 2024, 19 experts from nine hospitals or universities across five provinces and cities were selected via purposive sampling to participate in two rounds of Delphi consultation. Revisions were made based on expert feedback.Results:Both rounds of expert consultation achieved a 100% response rate. The authority coefficient of the experts was 0.92. The final indicator system included four curriculum elements: course content, course objectives, teaching methods, and assessment, encompassing 14 first-level indicators and 40 second-level indicators.Conclusions:The innovation-oriented indicator system for nursing science and technology education demonstrates good scientific validity and reliability. It offers a foundational framework for advancing innovation-focused nursing education and curriculum design.

Objective To explore the perioperative safety and prognostic factors of sequential hepatectomy after conversion therapy using vascular interventional therapy(including transarterial chemoembolization and hepatic arterial infusion chemotherapy)combined with tyrosine kinase inhibitors(TKI)and programmed death-1(PD-1)inhibitors in patients with initially unresectable hepatocellular carcinoma.Methods The clinical data of 106 eligible HCC patients treated in Tumor Hospital Affiliated to Guangxi Medical University from Nov.2019 to Apr.2024 were retrospectively analyzed.The perioperative parameters and postoperative pathological outcomes were described in detail,and factors influencing prognosis were analyzed.Results The median operative time for hepatectomy after conversion therapy was 240 min,with a median blood loss of 200 mL.Intraoperative blood transfusion was required in 24(22.6％)patients.Postoperative adverse reactions occurred in 49.1％(52/106)of patients,with liver failure being the most common adverse reactions(23 patients,21.7％).One(0.9％)patient died during the perioperative period,while the remaining 105 patients were followed up for a median duration of 14.7 months,during which 49(46.2％)patients experienced recurrence.Among them,39(36.8％)cases experienced early recurrence(within 1 year),and 33(31.1％)cases had intrahepatic recurrence.Thirteen(12.3％)patients died during follow-up.The median recurrence-free survival(RFS)was 15.7 months,with 1-year and 2-year RFS rates being 56.9％and 40.3％,respectively.The median overall survival(OS)was not reached,with 1-year and 2-year OS rates being 94.2％and 85.3％,respectively.Multivariate Cox regression analysis demonstrated that achieving complete pathological response(hazard ratio[HR]=0.410,95％confidence interval[CI]0.172-0.980,P=0.045),presence of microvascular invasion(HR=2.423,95％CI 1.269-4.625,P=0.007),satellite nodules(HR=1.916,95％CI 1.014-3.620,P=0.045),and multiple tumors(HR=1.818,95％CI 1.012-3.241,P=0.046)were independent factors associated with postoperative recurrence.Conclusion For patients with initially unresectable hepatocellular carcinoma,vascular interventional therapy combined with TKI and PD-1 inhibitors followed by sequential hepatectomy may be a feasible treatment strategy,with manageable adverse reactions and promising efficacy.

Objective To construct and validate a prediction model for urosepsis in patients after upper urinary tract stone surgery using various machine learning algorithms.Methods A total of 7 464 upper urinary tract stone patients who underwent surgery at the Sixth Affiliated Hospital of Guangxi Medical University from Jun.2018 to Jun.2023 were enrolled and randomly assigned to training(5 224 cases)or validation sets(2 240 cases)at a ratio of 7∶3.Among them,622(8.33%)cases developed urosepsis postoperatively.Six machine learning algorithms,including extreme gradient boosting(XGBoost),logistic regression,light gradient boosting machine(LightGBM),random forest(RF),adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT),were used to construct prediction models for postoperative urosepsis.The model's predictive ability and clinical benefits were evaluated using receiver operating characteristic(ROC)curves,Shapley additive explanation(SHAP)analysis,calibration curves,and decision curve analysis(DCA).Results The clinical features included body mass index(BMI),number of surgeries,heart rate,Barthel index,venous thrombo embolism(VTE)risk assessment,gender,American Society of Anesthesiologists(ASA)grade,urinary nitrite,and urinary leukocyte in the models.In the training set,the XGBoost,LightGBM,and RF models performed excellently,with area under curve(AUC)values of ROC curves reaching 1.00.In the validation set,the logistic regression model performed the best,with an AUC value of ROC curve of 0.76,showing good predictive stability and calibration.The AdaBoost and GBDT models followed with AUC values of 0.74 and 0.75,respectively,while the AUC values of the LightGBM,XGBoost,and RF models were 0.71,0.70,and 0.68.In terms of model interpretability,SHAP analysis showed the contribution of variables in a descending order as:heart rate,urinary leukocytes,gender,BMI,Barthel index,VTE risk assessment,urinary nitrite,number of surgeries,and ASA grade.Conclusion A logistic regression model for early risk prediction of postoperative urosepsis in upper urinary tract stone patients has been successfully constructed.This model has good predictive performance and calibration,and can effectively assist clinical diagnosis.

Objective To investigate the change in choroid plexus(CP)volume in Parkinson's disease(PD)patients with different cognitive states and its correlation with structural volumes of other brain regions.Methods A cross-sectional study was conducted on 48 PD patients admitted in Department of Neurosurgery of the First Affiliated Hospital of Army Medical University between May 2023 and April 2024,and on 35 healthy controls(HC)recruited through a physical exam center.According to the results of Mini-Mental State Examination(MMSE),the patients were divided into PD with cognitive impairment(PD-CI)group(n=27)and PD with normal cognitive function(PD-NC)group(n=21).3.0T magnetic resonance imaging(MRI)was performed using MPRAGE sequences,and CP volume and volumes of other brain regions were obtained using FreeSurfer 6.0 software.The CP volume was adjusted by calculating the ratio of its volume to estimated total intracranial volume(eTIV).After controlling for confounders,partial correlation analysis was used to assess the relationship between the CPV/eTIV ratio and the volumes of other brain regions as well as cognitive scale scores.Additionally,multiple linear regression analysis was performed to further explore the relationship between CPV and cognitive function in the PD-CI group.Results Compared to the HC group,the CPV in the PD-CI group was significantly larger(P=0.029).In the PD-CI group,the CPV/eTIV ratio showed significant positive correlations with the volume of the lateral ventricles(r=0.689,P=0.001),the volume of the third ventricle(r=0.592,P=0.006),the volume of cerebrospinal fluid(CSF)(r=0.508,P=0.022),and white matter hyperintensities(WMH)(r=0.486,P=0.030),but was negatively correlated with the volume of the caudate nucleus(r=-0.530,P=0.016),the volume of the thalamus(r=-0.477,P=0.033),and the MMSE scores(r=-0.483,P=0.031).But in the PD-NC group,the CPV/eTIV ratio was only positively correlated with CSF volume(r=0.571,P=0.021).Multiple linear regression analysis indicated that the CPV/eTIV ratio and MMSE scores remained significantly negatively correlated in the PD-CI group(β=-0.388,P=0.046).Conclusion Cognitive impairment in PD patients may be closely associated with the change in CP volume,suggesting that the volume can serve as a potential imaging marker in assessment of cognitive impairment in PD patients.

Objective To compare the effects of Tripterygium wilfordii polyglycosides,cyclophosphamide,and cisplatin on the establishment of a mouse model of diminished ovarian reserve(DOR).Methods Mice were randomly divided into the following treatment groups:control(Ctrl),Tripterygium wilfordii polyglycosides(TWP),cyclophosphamide(CTX),and cisplatin(DDP).Mice in the TWP group received a 50 mg/kg suspension of Tripterygium wilfordii polyglycosides by gavage for 14 days,mice in the CTX group received a 20 mg/kg cyclophosphamide suspension by intraperitoneal injection for 14 days,and mice in the DDP group received a 1.5 mg/kg cisplatin solution by intraperitoneal injection for 14 days.The body weight,uterine index,and ovarian index were recorded,the estrous cycle was monitored using the vaginal smear method,and the levels of anti-Mullerian hormone(AMH),estradiol(E2),follicle stimulating hormone(FSH),and luteinizing hormone(LH)were detected using ELISA.Hematoxylin and eosin staining was used to detect ovarian follicle development.The rates of oocyte maturation and fertility were analyzed.Results The three treatment groups of mice all showed the following:significantly decreased body weight and ovarian index(P＜0.05);apparent disorder of the estrous cycle;significantly decreased levels of AMH and E2(P＜0.05);decreased and increased rates of developing follicles and atretic follicles,respectively(P＜0.05);and significantly decreased rates of oocyte maturation,pregnancy,and live birth(P＜0.05).Conclusions DOR mouse models were successfully constructed using Tripterygium wilfordii polyglycosides,cyclophosphamide,or cisplatin,as evidenced by decreased body weight and ovarian index,disordered estrous cycle and hormones,and DOR function,resulting in reduced rates of oocyte maturation,pregnancy,and total number of live births.These DOR effects were most appropriate in the cyclophosphamide group.