Objective: To analyze the compliance status of physical fitness indicator and lifestyle characteristics among secondary vocational school students, as well as their associations, so as to provide a reference for physical fitness promotion among secondary vocational school students. Methods: Using a convenience sampling method, a questionnaire survey and physical fitness tests were conducted from September to December 2024 among 5 141 secondary vocational school students recruited from 16 secondary vocational schools across 8 provinces/municipalities in China, including Fujian, Chongqing, Guangdong, Guangxi, Hubei, Jiangxi, Shanghai and Zhejiang. Data on lifestyle factors were collected using a self designed questionnaire combined with standardized scales, including dietary habits, unhealthy behaviors, and 24 hour behaviors (physical activity, screen time, and sleep behavior). Multivariable Logistic regression model was used to analyze the associations of individual lifestyle behaviors and clustering of unhealthy lifestyle behaviors with non-compliance in physical fitness indicators among secondary vocational school students. Results: The compliance rates for waist circumference, vital capacity, grip strength, standing long jump, 30 second sit ups, 20 meter shuttle run, 50 meter dash, sit and reach, 20 second side steps among secondary vocational school students were 55.9%, 89.6%, 81.8%, 79.4%, 77.8%, 61.4%, 87.0%, 12.6%, and 63.5%, respectively, with a non-overweight/obesity rate of 78.9%. The reporting rates of daily breakfast consumption, milk consumption, and vegetable consumption were 58.9%, 18.3%, and 37.5%, respectively. The reporting rates of frequent takeout consumption, frequent sugar sweetened beverage consumption, smoking, alcohol drinking, insufficient moderate to vigorous physical activity (MVPA), excessive screen time, and insufficient sleep were 30.0%, 43.8%, 8.4%, 15.8%, 42.9%, 90.8%, and 42.6%, respectively. Multivariable Logistic regression analysis showed that secondary vocational school students with insufficient MVPA had higher risks of non-compliance in vital capacity, grip strength, standing long jump, 30 second sit ups, 20 meter shuttle run, 50 meter dash, and 20 second side steps ( OR =1.22- 1.60 ); secondary vocational school students who consumed breakfast daily had lower risks of non-compliance in vital capacity and overweight/obesity ( OR =0.81, 0.85); daily vegetable consumption was associated with a lower risk of vital capacity non-compliance ( OR =0.72); frequent takeout consumption was associated with an increased risk of non-compliance in the sit and reach test ( OR =1.28); smoking was associated with increased risks of non-compliance in the 20 meter shuttle run and 20 second side steps ( OR =1.38, 1.58) (all P <0.05). Regarding the clustering of unhealthy behaviors, secondary vocational school students with 4- 5 clustered unhealthy behaviors had higher risks of non-compliance in waist circumference and standing long jump; those with≥6 clustered behaviors had higher risks of non-compliance in standing long jump, 20 meter shuttle run, and 20 second side step ( OR = 1.17-1.36, all P <0.05). Conclusions The clustering of unhealthy behaviors is negatively associated with physical fitness status among secondary vocational school students. Secondary vocational schools should prioritize the promotion of comprehensive lifestyle management to improve the physical fitness levels of secondary vocational school students.

Objective To evaluate the consistency of multi-slice spiral CT (MSCT), Digital Radiography (DR) and fat-suppression MRI in detecting occult knee joint injury. Method Clinical data from 150 patients with suspected occult knee injuries who presented to the Department of imaging at the General Hospital of Ordnance Industry between August 2022 and August 2023 were retrospectively reviewed. All patients underwent MSCT, DR, and fat-suppression MRI for diagnostic evaluation. Arthroscopic or surgical findings served as the gold standard. We analyzed and compared the detection rates of specific types of occult knee injuries (ligament, meniscus, occult fracture, etc.) across the three modalities, as well as their ability to assess the degree of collapse and horizontal displacement in patients with knee fractures, and their overall diagnostic performance. Result According to the gold standard, among the 150 patients with suspected occult knee injury, 103 tested positive and 47 negative. Statistically significant differences were observed among MSCT, DR, and fat-suppression MRI in detecting occult fractures(P<0.05). The detection rates ranked in descending order asfollows: fat-suppression MRI>MSCT>DR. However, no significant difference were found in the detection rates of joint effusion and patellar cartilage injuries among the three techniques (P>0.05). Statistically differences were also note among the three techniques in detecting the degree of collapse and horizontal displacement in patients with knee fractures (P<0.05). Specifically fat-suppression MRI identified a higher proportion of grade 1 and 2 lesions than both MSCT and DR. Statistically significant differences were observed among the three techniques in diagnostic sensitivity and accuracy for occult knee injuries (P<0.05). Fat-suppression MRI demonstrated superior sensitivity (99.03%) and accuracy (96.67%) compared with MSCT (75.73%, 79.33%) and DR (61.17%, 68.00%). However, no significant difference was found in diagnostic specificity among the three techniques (P>0.05). Conclusion Compared with MSCT and DR, fat-suppression MRI offers higher diagnostic sensitivity and accuracy for occult knee injuries, particularly in identifying ligament injuries, meniscus injuries, and occult fractures.

Objective To evaluate the consistency of multi-slice spiral CT (MSCT), Digital Radiography (DR) and fat-suppression MRI in detecting occult knee joint injury. Method Clinical data from 150 patients with suspected occult knee injuries who presented to the Department of imaging at the General Hospital of Ordnance Industry between August 2022 and August 2023 were retrospectively reviewed. All patients underwent MSCT, DR, and fat-suppression MRI for diagnostic evaluation. Arthroscopic or surgical findings served as the gold standard. We analyzed and compared the detection rates of specific types of occult knee injuries (ligament, meniscus, occult fracture, etc.) across the three modalities, as well as their ability to assess the degree of collapse and horizontal displacement in patients with knee fractures, and their overall diagnostic performance. Result According to the gold standard, among the 150 patients with suspected occult knee injury, 103 tested positive and 47 negative. Statistically significant differences were observed among MSCT, DR, and fat-suppression MRI in detecting occult fractures(P<0.05). The detection rates ranked in descending order asfollows: fat-suppression MRI>MSCT>DR. However, no significant difference were found in the detection rates of joint effusion and patellar cartilage injuries among the three techniques (P>0.05). Statistically differences were also note among the three techniques in detecting the degree of collapse and horizontal displacement in patients with knee fractures (P<0.05). Specifically fat-suppression MRI identified a higher proportion of grade 1 and 2 lesions than both MSCT and DR. Statistically significant differences were observed among the three techniques in diagnostic sensitivity and accuracy for occult knee injuries (P<0.05). Fat-suppression MRI demonstrated superior sensitivity (99.03%) and accuracy (96.67%) compared with MSCT (75.73%, 79.33%) and DR (61.17%, 68.00%). However, no significant difference was found in diagnostic specificity among the three techniques (P>0.05). Conclusion Compared with MSCT and DR, fat-suppression MRI offers higher diagnostic sensitivity and accuracy for occult knee injuries, particularly in identifying ligament injuries, meniscus injuries, and occult fractures.

Objective To evaluate the consistency of multi-slice spiral CT (MSCT), Digital Radiography (DR) and fat-suppression MRI in detecting occult knee joint injury. Method Clinical data from 150 patients with suspected occult knee injuries who presented to the Department of imaging at the General Hospital of Ordnance Industry between August 2022 and August 2023 were retrospectively reviewed. All patients underwent MSCT, DR, and fat-suppression MRI for diagnostic evaluation. Arthroscopic or surgical findings served as the gold standard. We analyzed and compared the detection rates of specific types of occult knee injuries (ligament, meniscus, occult fracture, etc.) across the three modalities, as well as their ability to assess the degree of collapse and horizontal displacement in patients with knee fractures, and their overall diagnostic performance. Result According to the gold standard, among the 150 patients with suspected occult knee injury, 103 tested positive and 47 negative. Statistically significant differences were observed among MSCT, DR, and fat-suppression MRI in detecting occult fractures(P<0.05). The detection rates ranked in descending order asfollows: fat-suppression MRI>MSCT>DR. However, no significant difference were found in the detection rates of joint effusion and patellar cartilage injuries among the three techniques (P>0.05). Statistically differences were also note among the three techniques in detecting the degree of collapse and horizontal displacement in patients with knee fractures (P<0.05). Specifically fat-suppression MRI identified a higher proportion of grade 1 and 2 lesions than both MSCT and DR. Statistically significant differences were observed among the three techniques in diagnostic sensitivity and accuracy for occult knee injuries (P<0.05). Fat-suppression MRI demonstrated superior sensitivity (99.03%) and accuracy (96.67%) compared with MSCT (75.73%, 79.33%) and DR (61.17%, 68.00%). However, no significant difference was found in diagnostic specificity among the three techniques (P>0.05). Conclusion Compared with MSCT and DR, fat-suppression MRI offers higher diagnostic sensitivity and accuracy for occult knee injuries, particularly in identifying ligament injuries, meniscus injuries, and occult fractures.

Acute large vessel occlusion stroke(ALVOS)of anterior circulation is associated with severe clinical manifestations and high rates of disability and mortality.Mechanical thrombectomy has emerged as the primary therapeutic intervention.However,post-procedural outcomes remain highly variable,and patients continue to face elevated risks of poor prognosis.Machine learning,a transformative tool in medical research,enables comprehensive analysis of multimodal data to identify specific biomarkers and improve the accuracy of predictions for clinical outcomes and adverse events.This review summarized the latest developments in machine learning applications aim at predicting post-thrombectomy prognosis and risk of adverse event,including futile recanalization,hemorrhagic transformation,and malignant cerebral edema in patients with anterior circulation ALVOS in order to provide a basis for developing personalized treatment plan and improve their clinical prognosis.

Laparoscopic or robotic minimally invasive liver resection is the core treatment for liver cancer, but the safety and thoroughness of the surgery still face many challenges. In recent years, with the in-depth development of medical-industrial interdisciplinary, digital intelligent dia-gnosis and treatment technologies, which are deeply formed by the integration of digital medical technology, big data and artificial intelligence, have injected new vitality into the minimally invasive surgical treatment of liver cancer, brought a brand-new perspective, and promoted the transforma-tion of the traditional surgical paradigms into the modern minimally invasive, precise and intelligent surgical models. The authors summarize the development of digital intelligent minimally invasive surgical treatment of liver cancer over the past 20 years, discuss the evolution from clinical problems to key scientific issues, and from clinical needs to technological innovations. By reviewing past progress and looking forward to future directions, it aims to further promote the innovation of digital intelligent minimally invasive surgical techniques to improve the prognosis of patients with liver cancer.

Objective:To evaluatethe therapeutic efficacy and underlying mechanism of sodium houttuyfonate in treating airway inflammation in allergic asthma induced by co-exposure to the environmental pollutant benzo[a] pyrene (BaP) and ovalbumin (OVA).Methods:Thirty BALB/c mice were randomly divided into five groups with six mice in each group using a block randomization method: control, BaP, asthma model (OVA), BaP-exacerbated asthma (BaP+ OVA), and sodium houttuyfonate-treated BaP-exacerbated asthma (BaP+ OVA+ SH) groups. A mouse model of exacerbated asthma induced by co-exposure to BaP and OVA was established. Airway hyperresponsiveness, leukocyte distribution in bronchoalveolar lavage fluid (BALF), expression of cytokines such as IL-4, IL-13, IL-25, IL-33, thymic stromal lymphopoietin (TSLP) and IFN-γ, serum OVA-specific antibodies (IgE, IgG2a and IgG1), levels of malondialdehyde and superoxide dismutase (SOD) in lung tissues, and histopathological changes in lung tissues were evaluated. Western blot and RT-qPCR were used to detect the protein and mRNA expression levels of suppression of tumorigenicity 2 (ST2), extracellular regulated protein kinases (ERK), and phosphorylated ERK (p-ERK). Statistical analysis was conducted using analysis of variance and other statistical methods.Results:Compared with the BaP+ OVA group, the mice in the BaP+ OVA+ SH group showed significantly reduced airway hyperresponsiveness ( P<0.01), decreased numbers of total leukocytes ( P<0.01), neutrophils ( P<0.05), and lymphocytes ( P<0.01) in BALF, significantly downregulated secretion of IL-4, IL-13, IL-25, IL-33 and TSLP ( P<0.01), and inhibited production of IgE ( P<0.01) and IgG1 ( P<0.05). Additionally, sodium houttuyfonate treatment significantly decreased the malondialdehyde levels in lung tissues of mice with BaP-exacerbated asthma ( P<0.05) and reduced airway inflammatory cell infiltration, mucus secretion, and collagen fiber proliferation. Sodium houttuyfonate could supress the expression of ST2 and ERK ( P<0.05), inhibit ERK phosphorylation ( P<0.01), alleviate oxidative stress injury, and reduce collagen fiber proliferation in mouse lung tissues, thereby blocking the progression of BaP-exacerbated asthmatic inflammation. Conclusions:BaP exacerbates OVA-sensitized asthmatic airway inflammation in mice by inducing airway remodeling through the IL-33-ST2/ERK pathway. Sodium houttuyfonate inhibits this pathway, thereby preventing the progression of BaP-exacerbated asthma inflammation. This study provides new insights into the prevention and treatment of different phenotypes of asthma.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

Objective:To compare the performance of next-generation sequencing (NGS) and Sanger sequencing in investigating somatic hypermutation (SHM) status of immunoglobulin heavy chain variable region (IGHV) genes. It specifically focuses on identifying key factors contributing to discrepancies between the two methods, particularly under complex clonal backgrounds, to inform optimized strategies for clinical application.Methods:This retrospective analysis included 53 samples, comprising 43 identified as non-monoclonal and 10 as monoclonal using Sanger sequencing. All samples were further analyzed using NGS to assess IGHV SHM. The two methods were used for systematic comparison. For discordant cases, in-depth attribution analysis was conducted, considering factors, including clonal abundance quantification, differences in primer design, and interpretation criteria.Results:Among the 53 patients who underwent both Sanger and NGS testing, 36 were male and 17 were female, with a median age of 64 years (range: 33–88). Diagnoses included chronic lymphocytic leukemia (CLL) in 35 (66.0% ), diffuse large B-cell lymphoma in 9 (17.0% ), follicular lymphoma in 3 (5.7% ), mantle cell lymphoma in 3 (5.7% ), and other types in 3 (5.7% ) cases. In the 43 cases with non-monoclonal profiles using Sanger sequencing, NGS revealed 23 cases as biclonal or polyclonal, 17 as monoclonal, and 3 with no detectable clonality. The primary discrepancies between the two methods involved variations in clonality assessment, IGHV gene rearrangement types, and mutation rates. Among the 10 cases identified as monoclonal using Sanger sequencing, NGS detected biclonality and markedly different IGHV rearrangement types in 2 and 4 cases, respectively. Minor differences were observed in SHM percentage between the two methods; however, these did not substantially affect the overall determination of mutational status.Conclusion:Compared with Sanger sequencing, NGS exhibits superior performance in assessing IGHV SHM status under complex clonal conditions. It provides greater sensitivity and accuracy in detecting subclonal components and quantifying clonal proportions, thereby providing a more precise molecular basis for diagnosing and prognostically assessing lymphoid malignancies, including CLL.

Background and Aims:Pancreatic cancer is a highly malignant digestive system tumor characterized by poor prognosis and limited therapeutic response.The tumor microenvironment plays a crucial role in its progression,where oxidative stress and lactate metabolism are two tightly interconnected processes influencing tumor growth,immune escape,and therapeutic resistance.However,their combined prognostic impact remains poorly understood.This study aimed to integrate oxidative stress-and lactate metabolism-related genes to establish and validate a robust prognostic model for pancreatic cancer,and to explore its association with immune microenvironment characteristics.Methods:Transcriptomic and clinical data of 177 pancreatic cancer patients were obtained from TCGA database and an external validation was performed using the GEO dataset(GSE57495).Differentially expressed genes associated with oxidative stress and lactate metabolism were identified using the"limma"package.Univariate Cox regression was used to screen prognostic genes,followed by LASSO regression to construct a multi-gene risk model.Model performance was evaluated by Kaplan-Meier survival analysis,receiver operating characteristic(ROC)curves,concordance index(C-index),nomogram calibration,and decision curve analysis(DCA).The CIBERSORT and ssGSEA algorithms were used to analyze immune cell infiltration and immune functional differences between risk groups.Results:A six-gene signature(MUC1,KRT18,SDC1,AREG,DDC,and ATPAF2)was identified to construct the prognostic model.Based on the calculated risk score,patients were stratified into high-and low-risk groups.Kaplan-Meier analysis revealed significantly worse overall survival in the high-risk group(P<0.01).The model showed good predictive accuracy with 1-,2-,and 3-year AUCs of 0.710,0.674,and 0.649,respectively.The C-index and calibration curves confirmed its reliability,and multivariate Cox regression indicated that the risk score was an independent prognostic factor.External validation using GEO data demonstrated consistent predictive performance.Immune infiltration analysis revealed that M0 macrophages were markedly enriched in the high-risk group,while cytotoxic and effector T-cell populations were reduced,suggesting that an immunosuppressive microenvironment may contribute to poor outcomes.Conclusion:This study developed and validated a novel prognostic model for pancreatic cancer based on oxidative stress and lactate metabolism-related genes.The model accurately predicts patient survival,reflects immune microenvironment heterogeneity,and provides new molecular insights for risk stratification and individualized therapeutic strategies in pancreatic cancer management.