Objective To investigate the prevalence of common diseases among primary and secondary school students in Yichang City from 2019 to 2022, and to provide a scientific basis for formulating effective intervention measures in the future. Methods By random cluster sampling , 7 schools in urban areas and 5 schools in suburban counties were selected to screen common diseases such as myopia, dental caries, obesity and abnormal spinal curvature. Descriptive epidemiological methods were employed for statistical analysis. Results A total of 17 023 primary and secondary school students were screened from 2019 to 2022. The overall detection rate of common diseases from high to low was myopia (54.12%), caries (36.75%), overweight (15.17%), obesity (11.88%), malnutrition (5.80%), and abnormal spinal curvature (3.49%). The detection rates of myopia and abnormal curvature of the spine showed an increasing trend with years and school stages, while the detection rates of malnutrition and dental caries showed a decreasing trend with years and school stages. The detection rates of overweight and obesity showed no trend difference with years, and the detection rates of obesity showed a decreasing trend with school stages. The rates of myopia, overweight and obesity were higher in urban areas than those in suburban counties, and the rate of dental caries was higher in suburban counties than that in urban areas. The prevalence of overweight, obesity, and malnutrition in boys was higher than that in girls. The prevalence of myopia and dental caries in girls was higher than that in boys. The above differences were statistically significant (all P<0.05). Conclusion Myopia, dental caries, obesity, and abnormal curvature of the spine are the current focus of the prevention and treatment of common diseases in students. There are great differences between different regions, school stages, and genders. The ^“tripartite linkage^” of schools, families, and communities should be achieved with the joint efforts of the education and health departments to actively take targeted intervention measures to reduce the prevalence.

Objective: To explore the effects of parenting style on emotional and behavioral problems (EBPs) of preschool children and to provide theoretical reference for promoting children s physical and mental health. Methods: In October-November 2021, a stratified cluster random sampling method was adopted to select 3 575 preschool children aged 3-6 years from 12 kindergartens in Hefei. Data on parenting styles and children s EBPs were collected through electronic questionnaires. Binary Logistic regression model was used to explore the effects of parenting styles on children s EBPs. Results: The detection rates of emotional symptoms, conduct problems, hyperactivity, peer interaction problems, and prosocial behavior problems were 15.5% ( n =554), 23.2% ( n =830), 22.4% ( n =802), 38.2% ( n =1 367), and 29.5% ( n =1 055) in preschool children, respectively. Binary Logistic regression analysis showed that after adjusting for covariates such as child s age, sex, and preterm birth, a high authoritative parenting style reduced the risk of EBPs in children ( OR =0.29-0.78), while a high authoritarian ( OR =1.36-2.15) and high permissive ( OR =1.36-1.68) parenting style in mothers increased the risk of EBPs in children (all P <0.05). Further stratified analysis indicated that among children with fathers exhibiting high authoritative, high authoritarian, or high permissive parenting styles, a high authoritative parenting style in mothers reduced the risk of peer interaction problems and prosocial behavior problems ( OR =0.51, 0.30 ; 0.44, 0.23; 0.51, 0.29, all P <0.05). Among children with fathers exhibiting a high authoritative parenting style, a high authoritarian parenting style in mothers increased the risk of emotional problems ( OR =2.59), and both high authoritarian and high permissive parenting styles in mothers increased the risk of conduct problems ( OR =3.25, 2.09) and hyperactivity problems ( OR =2.35, 2.87) (all P <0.05). Among children with fathers exhibiting high authoritarian or high permissive parenting styles, a high authoritarian parenting style in mothers increased the risk of EBPs ( OR =1.65-2.71, 1.62-2.52, all P <0.05). Conclusion Parenting style is an important factor affecting EBPs of preschool children, and appropriate parenting style is beneficial for children s psychological development.

OBJECTIVE To promote the application of drones in emergency rescue and related fields， expand “low-altitude+ medical” rescue services， and advance the standardization of “low-altitude+medical” distribution services. METHODS The Consensus on Low-altitude Transport and Delivery Services for Emergency Medicines via Drones （2025 Edition） （hereinafter referred to as the Consensus） was jointly initiated by the Division of Therapeutic Drug Monitoring， Chinese Pharmacological Society and the Expert Committee on Precision Medication of the Guangdong Pharmaceutical Association. Guangzhou Red Cross Hospital served as the leading unit， organizing 53 multidisciplinary experts nationwide to participate in drafting and reviewing. A nominal group technique was employed to discuss and finalize the consensus outline， resulting in a preliminary draft. Delphi method was employed， and 11 external review experts were invited to conduct the evaluation. After the experts’ opinions were analyzed and integrated， the Consensus was finalized. RESULTS & CONCLUSIONS The finalized Consensus includes its purpose， principles， and applicable scenarios， basic requirements， and operational procedures for low-altitude transport and delivery of emergency medications； distribution requirements and precautions for controlled substances， fragile medications， and temperature-sensitive medications； and recommendations for emergency medications supplies suitable for the low-altitude transportation and distribution. The release of this Consensus is expected to provide guidance and support for the standardization of “low-altitude+medical” distribution services and the application of low-altitude economy in the healthcare sector.

OBJECTIVES: Exposure to rare earth elements (REEs) has been linked to various systemic diseases, but their impact on the offspring blood-brain barrier (BBB) via the gut-brain axis remains unclear. This study aims to investigate the effects of maternal exposure to neodymium oxide (Nd₂O₃) on the BBB integrity of offspring rats, and to evaluate the potential protective role of bifidobacterium tetrad viable tablets (BTVT) against Nd₂O₃-induced intestinal and BBB damage. METHODS: Healthy adult SD rats were mated at a 1:1 male-to-female ratio, with the day of vaginal plug detection marked as gestational day 0. A total of 60 pregnant rats were randomly assigned to the following groups: Control, 50 mg/(kg·d) Nd₂O₃, 100 mg/(kg·d) Nd₂O₃, 200 mg/(kg·d) Nd₂O₃, and 200 mg/(kg·d) Nd₂O₃ + BTVT group. Treatments were administered by daily oral gavage throughout pregnancy and lactation. On postnatal day 21 (weaning), offspring feces, brain, and colon tissues were collected. Hematoxylin and eosin (HE) staining was used to assess structural changes in brain and intestinal tissues. Short-chain fatty acids (SCFAs) in feces were quantified by gas chromatography-mass spectrometry (GC-MS). Evans Blue (EB) dye extravasation assessed BBB permeability. Gene and protein expression levels of tight junction proteins occludin and zonula occludens-1 (ZO-1) were measured by reverse transcription PCR (RT-PCR) and Western blotting (WB), respectively. Neodymium levels in brain tissue were determined via inductively coupled plasma mass spectrometry (ICP-MS). RESULTS: HE staining revealed that maternal Nd₂O₃ exposure caused mucosal edema, increased submucosal spacing, and lymphocyte infiltration in offspring colon, as well as neuronal degeneration and vacuolization in brain tissue. BTVT intervention alleviated these changes. GC-MS analysis showed that levels of acetic acid, propionic acid, butyric acid, and isobutyric acid significantly decreased, while valeric acid and isovaleric acid increased in offspring of Nd₂O₃-exposed mothers (P<0.05). BTVT significantly restored levels of acetic, propionic, and isobutyric acids and reduced valeric acid content (P<0.05). EB permeability was significantly elevated in Nd₂O₃-exposed offspring brains (P<0.05), but reduced with BTVT treatment (P<0.05). RT-PCR and WB showed downregulation of occludin and ZO-1 expression following Nd₂O₃ exposure (P<0.05), which was reversed by BTVT (P<0.05). ICP-MS results indicated significantly increased brain neodymium levels in offspring from all Nd₂O₃-exposed groups (P<0.05), while BTVT significantly reduced neodymium accumulation compared to the 200 mg/(kg·d) Nd₂O₃ group (P<0.05). CONCLUSIONS Maternal exposure to Nd₂O₃ during pregnancy and lactation disrupts intestinal health and BBB integrity in offspring, elevates brain neodymium accumulation, and induces neuronal degeneration. BTVT effectively mitigates Nd₂O₃-induced intestinal and BBB damage in offspring, potentially through modulation of the gut-brain axis.
Animals ; Female ; Blood-Brain Barrier/pathology* ; Pregnancy ; Rats, Sprague-Dawley ; Rats ; Male ; Neodymium/toxicity* ; Prenatal Exposure Delayed Effects/prevention & control* ; Lactation ; Maternal Exposure/adverse effects* ; Brain

Apical microsurgery is accurate and minimally invasive, produces few complications, and has a success rate of more than 90%. However, due to the lack of awareness and understanding of apical microsurgery by dental general practitioners and even endodontists, many clinical problems remain to be overcome. The consensus has gathered well-known domestic experts to hold a series of special discussions and reached the consensus. This document specifies the indications, contraindications, preoperative preparations, operational procedures, complication prevention measures, and efficacy evaluation of apical microsurgery and is applicable to dentists who perform apical microsurgery after systematic training.
Microsurgery/standards* ; Humans ; Apicoectomy ; Contraindications, Procedure ; Tooth Apex/diagnostic imaging* ; Postoperative Complications/prevention & control* ; Consensus ; Treatment Outcome

Pulpotomy, which belongs to vital pulp therapy, has become a strategy for managing pulpitis in recent decades. This minimally invasive treatment reflects the recognition of preserving healthy dental pulp and optimizing long-term patient-centered outcomes. Pulpotomy is categorized into partial pulpotomy (PP), the removal of a partial segment of the coronal pulp tissue, and full pulpotomy (FP), the removal of whole coronal pulp, which is followed by applying the biomaterials onto the remaining pulp tissue and ultimately restoring the tooth. Procedural decisions for the amount of pulp tissue removal or retention depend on the diagnostic of pulp vitality, the overall treatment plan, the patient's general health status, and pulp inflammation reassessment during operation. This statement represents the consensus of an expert committee convened by the Society of Cariology and Endodontics, Chinese Stomatological Association. It addresses the current evidence to support the application of pulpotomy as a potential alternative to root canal treatment (RCT) on mature permanent teeth with pulpitis from a biological basis, the development of capping biomaterial, and the diagnostic considerations to evidence-based medicine. This expert statement intends to provide a clinical protocol of pulpotomy, which facilitates practitioners in choosing the optimal procedure and increasing their confidence in this rapidly evolving field.
Humans ; Calcium Compounds/therapeutic use* ; Consensus ; Dental Pulp ; Dentition, Permanent ; Oxides/therapeutic use* ; Pulpitis/therapy* ; Pulpotomy/standards*

Objective: To establish a machine learning-based precision blood donor recruitment model at the county level and assess its generalizability and applicability. Methods: A retrospective study was conducted using blood donation and SMS recruitment data from the Taicang Branch of the Suzhou Blood Center between 2019 and 2024. Multiple machine learning algorithms were employed, including extreme gradient boosting, support vector machine, k-nearest neighbor, logistic regression, decision tree, random forest, and multilayer perceptron. These were combined with techniques such as synthetic minority oversampling, undersampling, and cost-sensitive learning (using MFE and MSFE loss functions). Model parameters were optimized through grid search to identify the best-performing model. Results: In a prospective comparative study against conventional methods, the machine learning models increased the recruitment success rate among high-willingness donors by an average of 129.15%, and the recruitment efficiency per SMS improved by 125.02% compared with the traditional method. Under full-scale SMS sending, the recruitment rate per SMS increased by 42.61%, and SMS sending efficiency improved by 31.77%, significantly enhancing recruitment performance. Conclusion: This study represents the first application of a machine learning-based precision donor recruitment model at the county-level in China. The precise recruitment framework not only improves recruitment efficiency and reduces recruitment costs but also demonstrates strong scalability and generalizability. It provides a scientific and feasible intelligent pathway to ensure the safety and sustainability of the blood supply.

Objective:To analyze the relationship between the expression level of calumenin(CALU)and the prognosis of hepatocellular carcinoma(HCC)patients by bioinformatics tools and establish the prognostic prediction nomogram,and to clarify its possible mechanism.Methods:The data of 374 HCC tissue samples were downloaded from The Cancer Genome Atlas(TCGA)database and the data of 160 normal tissue samples were down loaded from Genotype-Tissue Expression(GTEx)database.Paired sample t-test was used to analyze the difference in CALU expression between the HCC tissue samples and the paired adjacent normal tissue samples.Human Protein Atlas(HPA)database was used to verify the results.DESeq2 package was used to screen the differentially expressed genes(DEGs)between CALU low expression group and CALU high expression group in the HCC tissue samples.R package pROC was used to analyze the receiver operating characteristic(ROC)curve.Univariate and multivariate Cox regression analyses were used to confirm the prognosis value of CALU in the HCC patients with different clinicopathological characteristics,and ggplot2 package was used to construct the forest plot.R packages rms and survival were used to construct the nomogram and its calibration curve,and the diagnostic value of CALU in distinguishing HCC tissue from normal tissue was analyzed.The data from Kaplan-Meier Plotter database were used to further verify the relationship between CALU and the prognosis of HCC patients.The gene transcriptional expression data of 216 HCC samples obtained from GSE14520 dataset were used to verify the prediction accuracy of the nomogram.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were used to determine the function and enrichment pathways of the DEGs,and Gene Set Enrichment Analysis(GSEA)was used to obtain the significantly enriched gene sets of the DEGs.Single-cell sequencing data of 10 HCC tissue samples and 8 adjacent normal tissue samples obtained from GSE149614 dataset were used to verify the relationship between CALU and the prognosis of HCC patients and its mechanism.Results:Compared with normal tissue,the expression level of CALU mRNA in HCC tissue was significantly increased(P＜0.001),and the expression level of CALU protein in HCC samples was also increased.A total of 928 DEGs were identified between CALU low expression group and CALU high expression group in the HCC samples,including 784 upregulated DEGs and 144 downregulated DEGs.The ROC analysis results indicated that CALU showed high diagnostic value in distinguishing cancer tissue from adjacent non-cancer tissue with an area under curve(AUC)of 0.839.Kaplan-Meier survival analysis showed that the survival rate of HCC patients in CALU high expression group was significantly lower than that in CALU group low expression(P＜0.001).Univariate and multivariate Cox regression analyses results demonstrated that high expression of CALU was an independent risk factor of the prognosis in HCC patients,and a prognosis prediction nomogram was constructed.The applicability of nomogram on the prognosis of HCC was verified by GSE14520 dataset.The GO enrichment analysis results showed that DEGs were mainly enriched in pathways related to the oxidative stress,ferroptosis and cuproptosis(P＜0.05).The KEGG enrichment analysis results showed that DEGs were mainly enriched in the pathways related to extracellular matrix(ECM)receptor interaction,linoleic acid metabolism and neuroactive ligand receptor interaction(P＜0.05).The GSEA results showed that high expression of CALU may promote the G1-S phase transition of the cell cycle,ubiquitination protein polymerization and HCC progression,while low expression of CALU may activate oxidative stress,ferroptosis and cuproptosis in HCC cells.Single-cell sequencing analysis results showed that the expression level of CALU mRNA was significantly increased in HCC cells with advanced tumor stages.HCC_CALU_High cell subset was mainly related to ubiquitination,p53 and cell cycle(P＜0.01),and HCC_CALU_Low cell subset was mainly related to oxidative stress,ferroptosis,and histone binding(P＜0.01).Conclusion:The high expression of CALU may be related to the poor prognosis of HCC patients.The constructed nomogram of HCC prognosis shows favourable effect in predicting the survival rate of the HCC patients.The up-regulation of CALU may promote HCC progression by regulating the G1-S phase of the cell cycle and ubiquitination of protein,while down-regulation of CALU may inhibit HCC progression by inducing oxidative stress,ferroptosis and cuproptosis in cells.

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 establish the HPLC fingerprints and multi-component content determination method of Yinchen Wuling Powder; To evaluate the quality of Yinchen Wuling Powder combined with chemical pattern recognition technology.Methods:A wavelength-switching HPLC method was used to establish the fingerprint profiles of different batches of Yinchen Wuling Powder and determine the contents of seven components of neochlorogenic acid, chlorogenic acid, isochlorogenic acid B, isochlorogenic acid A, isochlorogenic acid C, cinnamic acid, cinnamaldehyde. Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were applied to evaluate the quality. Quality difference biomarkers were screened.Results:The fingerprint profiles of 24 batches of Yinchen Wuling Powder were identified with 20 common peaks, and 7 components were recognized. The similarity between the 24 batches of samples and the control profile was 0.966-0.994, and the attribution analysis showed that peaks 1, 2, 3 were common to Artemisia Scoparia and Alismatis Rhizoma. Chromatographic peaks 4 (neochlorogenic acid), 5, 6, 7 (chlorogenic acid), 8, 9, 10, 11, 12, 13, 14 (isochlorogenic acid B), 15 (isochlorogenic acid A), 16 (isochlorogenic acid C), and 19 were from Artemisia Scoparia, and peaks 17, 18 and 20 were from Cinnamomi Ramulus. Principal component analysis classified the 24 batches of samples into 4 categories, and partial least squares discriminant analysis was used to determine 11 quality difference biomarkers, including isochlorogenic acid B and neochlorogenic acid.Conclusions:The established method of determining fingerprint and multi-component content is accurate and with good repeatability. The results can provide a certain basis for the quality evaluation of Yinchen Wuling Powder.