Objective: To conduct a scoping review on the types, construction methods and predictive performance of health literacy prediction models based on machine learning methods, so as to provide the reference for the improvement and application of such models. Methods: Publications on health literacy prediction models conducted using machine learning methods were retrieved from CNKI, Wanfang Data, VIP, PubMed and Web of Science from inception to May 1, 2024. The quality of literature was assessed using the Prediction Model Risk of Bias ASsessment Tool. Basic characteristics, modeling methods, data sources, missing value handling, predictors and predictive performance were reviewed. Results: A total of 524 publications were retrieved, and 22 publications between 2007 and 2024 were finally enrolled. Totally 48 health literacy prediction models were involved, and 25 had a high risk of bias (52.08%), with major issues focusing on missing value handling, predictor selection and model evaluation methods. Modeling methods included regression models, tree-based machine learning methods, support vector machines and neural network models. Predictors primarily encompassed factors at four aspects: individual, interpersonal, organizational and society/policy aspects, with age, educational level, economic status, health status and internet use appearing frequently. Internal validation was conducted in 14 publications, and external validation was conducted in 4 publications. Forty-two models reported the areas under the receiver operating characteristic curve, which ranged from 0.52 to 0.983, indicating good discrimination. Conclusion Health literacy prediction models based on machine learning methods perform well, but have deficiencies in risk of bias, data processing and validation.

Abstract Health literate schools (HeLit-Schools) play a significant role in fostering students health literacy. The paper elucidates the background and conceptual connotations of HeLit-Schools, and analyzes how HeLit-Schools effectively integrate and enhance the health literacy of schools in three aspects: philosophy and core drivers, strategy and method implementation, as well as evaluation mechanisms and standard setting. Furthermore, the paper explores the implications of foreign HeLit-Schools research and practice for China under the context of "Healthy China" construction, as well as the key strategies for Chinese schools in the implementation of HeLit-Schools, aiming to provide a new perspective and theoretical support for Chinese schools to practice the "Healthy China initiative" and strengthen school construction from the perspective of health literacy.

Abstract As dietary issues of children and adolescents become increasingly complex, the assessment of food literacy (FL) is increasingly importance. FL involves a comprehensive cognition and practical ability concerning food among children, playing a key role in fostering healthy eating habits and improving health levels. The article explores the definition and connotations of FL, and introduces eight FL assessment tools in terms of theoretical foundations, dimensions, assessment methods, and their reliability and validity. Moreover, it provides a comparative analysis of these tools by examining their dimensional design, evaluation indicators, strengths, and weaknesses, as well as their applicable subjects and scenarios, aiming to offer references for implementing relevant policies and developing more comprehensive and effective FL assessment tools.

Pyroptosis, a form of inflammatory cell death mediated by the Gasdermins family, promotes the release of inflammatory mediators and activates immune cell populations such as NK cells, T cells and macrophages in the tumor microenvironment(TME) to exert immune-regulating and anti-tumor effects. Glioblastoma(GBM) is the most serious and malignant glioma, and the median survival of patients diagnosed with GBM is less than 2 years, and the presence of the blood-brain barrier makes it difficult to deliver drugs to the brain, thus affecting the effect of drugs against GBM. Therefore, it is important to explore new measures and mechanisms to treat GBM, which has a complex TME with a large number of immune cell populations that are often immunosuppressed by GBM. Cellular pyroptosis as a mode of cell death capable of activating immunity, has the effect of activating the body’s immunity to help reverse TME immunosuppression. This review will focus on the relationship between cell pyroptosis and the immune system, how cell pyroptosis affects the immune cell population of TME in GBM, and the new progress in drug research on cell pyroptosis pathways in GBM treatment, providing new directions and strategies for future clinical treatment of GBM.

Objective To investigate the clinical features and genetic characteristics of patients with late-onset Pompe disease(LOPD).Methods A total of 13 patients diagnosed with LOPD in the First Affilia-ted Hospital of Zhejiang University School of Medicine from September 2020 to December 2023 were selected,and all patients were subjected to clinical investigation,GAA activity detection and GAA gene testing.Results Among the 13 patients,7 were males and 6 were females;5 were family patients and 8 were sporadic patients;and the median age of onset was 17 years(8-52 years),the median age of presentation was 24 years(10-52 years),and the median age of diagnosis was 31 years(14-58 years).In terms of the first symptoms,10 pa-tients presented with limb weakness and 3 patients presented with dyspnea.The average serum creatine kinase level was 552 U/L(55-1084 U/L),and the serum creatine kinase level was normal in one patient.All pa-tients had scoliosis and different degrees of restrictive ventilatory dysfunction.Neuroelectrophysiological exami-nations of 9 patients showed myogenic damage,and 8 of them had muscle tonic discharge.The mean value of GAA activity was 0.3 μmol/(L·h)[0.17-0.5 μmol/(L·h)].A total of 13 mutations were detected in GAA gene,and the most common mutation was c.2238G＞C(p.W746C).There were five new variant sites:c.543del(p.F181Lfs*40),c.839_840insCC(p.R281Pfs*34),c.1800_1823del(p.S601_R608del),c.2296T＞C(p.Y766H)and c.995C＞A(p.S332*).Conclusions LOPD is a rare disease that tends to delay diagnosis.Proximal limb weakness,decreased respiratory function,mild-to-moderate elevation of creatine kinase,scoliosis,and clinical inferior tonic discharge on electromyography are high-risk images of LOPD.c.2238G＞C(p.W746C)is a hotspot mutation,and the discovery of five new mutations enriches the GAA gene mutations lineage.

【Objective】 To investigate the expression of optineurin (OPTN) in multiple myeloma (MM) and explore the mechanism and clinical value of OPTN gene in the occurrence and development of MM. 【Methods】 In this study, three gene expression omnibus (GEO) data sets were used to analyze the expression level of OPTN in MM. Clinical bone marrow samples of MM patients were collected. qRT-PCR was used to further verify the expression of OPTN in MM patients. The Kaplan-Meier survival curve and receiver operating characteristic (ROC) curve were used to analyze the value of OPTN in the prognosis and diagnosis of MM. At the same time, MM transcriptome data were downloaded from the Cancer Genome Atlas (TCGA) database. According to the median boundary of OPTN mRNA expression level, the MM patients were divided into OPTN high- and low-expression groups. In order to investigate the possible molecular mechanisms of OPTN in MM, gene set enrichment analysis (GSEA) was made after the differentially expressed genes were filtered using the limma package of the R language. 【Results】 The expression level of OPTN was significantly lower in MM tissues than in normal tissues (P<0.05). OPTN expression level was significantly correlated with International Staging System (ISS) in MM patients (P<0.05). ROC results showed that the expression level of OPTN could distinguish between normal and MM patients. Survival analysis showed that the overall survival (OS) of patients with low OPTN expression was significantly lower than that of patients with high OPTN expression (P<0.05). GO, KEGG and GSEA enrichment analyses indicated that OPTN might affect apoptosis and autophagy, and regulate cellular immune response by regulating Nod-like receptors, NF-κB, TNF and RAS/MAPK pathways. 【Conclusion】 Low expression of OPTN in MM is associated with poor prognosis of patients, and thus may be an important potential biomarker for the diagnosis and treatment of MM.

Objective:To investigate the relationship between serum miR-501 and miR-195 levels and sensitivity to concurrent chemoradiotherapy in patients with locally advanced cervical cancer (LACC).Methods:Clinical data of 96 patients with LACC admitted to Nanyang Central Hospital from January 2020 to June 2022 were retrospectively analyzed and compared with those of 96 healthy subjects during physical examination in our hospital during the same period to compare the differences of serum miR-501 and miR-195 levels. Tumor status was reviewed at 6 months after concurrent chemoradiotherapy. Patients were divided into the sensitive and resistant groups according to the evaluation criteria of solid tumor efficacy. The relationship between serum miR-501 and miR-195 levels and the sensitivity to concurrent chemoradiotherapy in LACC patients was analyzed by univariate and multivariate analyses. The receiver operating characteristic (ROC) curve was also drawn to predict differential efficacy of concurrent chemoradiotherapy sensitivity in LACC patients. Multivariate analysis was conducted by binary logistic regression analysis. P<0.05 indicated statistically significant differences. Results:In LACC patients, serum miR-501 level was significantly higher, whereas serum miR-195 level was significantly lower than those in physical examination subjects (both P<0.05). Univariate analysis showed that serum miR-501 level at admission in the resistant group was significantly higher, whereas serum miR-195 level was significantly lower than those in the sensitive group (both P<0.05). Multivariate analysis showed that serum miR-501 and miR-195 levels were significantly correlated with the sensitivity to concurrent chemoradiotherapy in LACC patients. The area under the ROC curve (AUC) was 0.736 and 0.913, respectively. Conclusions:The higher the serum miR-501 level and the lower the serum miR-195 level before treatment, the higher the probability of resistance to concurrent chemoradiotherapy in LACC patients. Serum miR-501 and miR-195 levels of LACC patients before treatment have certain predictive value for the sensitivity to concurrent chemoradiotherapy.

Objective To explore the application of polysomnography combined with arterial spin labeling(ASL)perfusion magnetic resonance imaging in the diagnosis of insomnia.Methods Forty-two insomnia patients admitted to Department of Neurology were included as insomnia group,while 41 healthy subjects during the same period were included as control group.The two groups were assessed using sleep habits questionnaire,hospital anxiety and depression scale,polysomnography,and ASL perfusion magnetic resonance imaging.Results Compared with control group,insomnia group took significantly more time to fall asleep(P<0.05),and has shorter sleep duration(P<0.05).The differences in the levels of anxiety and depression between two groups were trivial.The total sleep time,rapid eye movement sleep duration,and non-rapid eye movement sleep stage S2-S4were shorter,while the sleep latency and non-rapid eye movement sleep stage S1were longer in insomnia group as compared with control group(all P<0.05).In insomnia group,perfusion was increased in bilateral prefrontal lobes,right temporal lobe,left parietal lobe,right thalamus,and pons(P<0.05),but decreased in bilateral insula and bilateral basal ganglia(P<0.05).Conclusion The combination of polysomnography and ASL perfusion magnetic resonance imaging enables precise quantification of sleep condition.

Objective:To design a visual allocation system of emergency medical equipment based on the Internet of Things technology,and to realize the coordinated allocation of emergency medical equipment in hospitals.Methods:The client and server(C/S)architecture was adopted,and the design of emergency medical equipment visual allocation system was mainly based on Bluetooth 5.1 technology,with automatic acquisition and automatic analysis of Bluetooth positioning tag,low power consumption sensor and signal communication of Bluetooth Internet of Things base station.The sample data of 150 pieces of equipment managed by the traditional allocation center mode of The 900th Hospital of People's Liberation Army Joint Logistics Support Force from January to December 2021 were selected,and the sample data of 150 pieces of equipment allocation during the application of the visual allocation system from June 2022 to June 2023 were randomly selected,and the allocation response time and the allocation warehousing in and out time were compared.A total of 40 ventilator devices were randomly selected during the traditional allocation center mode and the visual allocation period,with 20 ventilators in each mode,the start-up rate,utilization rate and profitability of medical equipment during the service period were compared.Results:The visual allocation system can realize the functions of automatic equipment positioning,emergency deployment,ledger management,remote repair report and benefit analysis.The allocation response time,allocation outbound time and allocation inbound time of the visual allocation system were(19.61±3.119)min,(11.73±2.104)min,(10.21±2.165)min,respectively,which were shorter than(54.98±3.999)min,(21.54±2.811)min,(16.80±2.000)min of the traditional allocation center mode,the difference was statistically significant(t=85.407,34.229,27.395,P<0.05).The start-up rate,utilization rate and profitability of ventilator equipment using visual allocation mode were 78.24%,51.23%and 82.76%,respectively,which were higher than 43.52%,36.26%and 47.83%of the traditional allocation center mode,the difference was statistically significant(x2=8.792,7.813,12.216,P<0.05).Conclusion:The visual allocation system of emergency medical equipment based on the Internet of Things technology can realize the functions of emergency medical equipment allocation and storage,equipment positioning and use status analysis,provide a theoretical basis for the allocation of hospital emergency medical equipment,and maximize the role of emergency medical equipment.