ObjectiveTo evaluate the effectiveness of stone needle thermocompression and massage compared to flurbiprofen gel patch in relieving chronic musculoskeletal pain in the shoulder and back， and to explore the potential mediating mechanism through muscle elasticity. MethodsA total of 120 patients with chronic musculoskeletal pain in the shoulder and back were randomly assigned to either stone needle group or flurbiprofen group， with 60 patients in each. The stone needle group received stone needle thermocompression and massage for 30 minutes， three times per week； the flurbiprofen group received flurbiprofen gel patch twice daily. Both groups were treated for 2 weeks. Pain improvement， as the primary outcome， was assessed using the Global Pain Scale （GPS） at baseline， after 2 weeks of treatment， and again 2 weeks post-treatment. To explore potential mechanisms， a mediator analysis was conducted by measuring changes in superficial and deep muscle elasticity using musculoskeletal ultrasound at baseline and after the 2-week treatment period. ResultsThe stone needle group showed significantly greater pain relief than the flurbiprofen group 2 weeks post-treatment. After adjusting for confounders related to pain duration， the between-group mean difference was -8.8 ［95% CI （-18.2， -0.7）， P＜0.05］. Part of the therapeutic effect was mediated by changes in deep muscle elasticity， with a mediation effect size of -1.5 ［95% CI （-2.0， -0.9）， P = 0.024］， accounting for 17.9% of the total effect. ConclusionStone needle thermocompression and massage can effectively relieve chronic musculoskeletal pain in the shoulder and back， partly through a mediating effect of improved deep muscle elasticity.

Chronic obstructive pulmonary disease (COPD), which predominantly affects middle-aged and elderly individuals, is associated with a significantly reduced quality of life and often triggers various other pulmonary conditions. Lung cancer, as one of the most prevalent and deadly pulmonary malignancies worldwide, poses a severe threat to global public health. The risk of developing lung cancer is markedly higher in COPD patients compared to the general population, indicating numerous associations between the two conditions that warrant in-depth investigation. Although a substantial body of research has explored the relationship between COPD and lung cancer, studies focusing on the molecular mechanisms underlying their connection remain limited. This article reviews the latest research progress on the mechanisms of COPD complicated by lung cancer from four perspectives: the role of chronic pulmonary inflammation, programmed cell death, genetic and molecular interactions, and dysbiosis of the pulmonary microbiome. The aim of this article is to provide new insights and references for the prevention and therapeutic strategies of COPD complicated with lung cancer.

Objective To construct a machine learning prediction model for postoperative liver injury in patients with non-liver surgery based on preoperative and intraoperative medication indicators.Methods A case-control study was conducted on 315 patients with liver injury after non-liver surgery selected from the databases developed by 3 large general hospitals from January 2014 to September 2022.With the positive/negative ratio of 1 ∶3,928 cases in corresponding period with non-liver surgery and without liver injury were randomly matched as negative control cases.These 1243 patients were randomly divided into the modeling group(n=869)and the validation group(n=374)in a ratio of 7∶3 using the R language setting code.Preoperative clinical indicators(basic information,medical history,relevant scale score,surgical information and results of laboratory tests)and intraoperative medication were used to construct the prediction model for liver injury after non-liver surgery based on 4 machine learning algorithms,k-nearest neighbor(KNN),support vector machine linear(SVM),logic regression(LR)and extreme gradient boosting(XGBoost).In the validation group,receiver operating characteristic(ROC)curve,precision-recall curve(P-R),decision curve analysis(DCA)curve,Kappa value,sensitivity,specificity,Brier score,and F1 score were applied to evaluate the efficacy of model.Results The model established by 4 machine learning algorithms to predict postoperative liver injury after non-liver surgery was optimal using the XGBoost algorithm.The area under the receiver operating characteristic curve(AUROC)was 0.916(95%CI:0.883～0.949),area under the precision-recall curve(AUPRC)was 0.841,Brier score was 0.097,and sensitivity and specificity was 78.95%and 87.10%,respectively.Conclusion The postoperative liver injury prediction model for non-liver surgery based on the XGBoost algorithm has effective prediction for the occurrence of postoperative liver injury.

Protein as the allergens could lead to allergy. In addition, a widespread class of allergens were known as glycans of N-glycoprotein. N-glycoprotein contained oligosaccharide linked by covalent bonds with protein. Recently,studies implicated that allergy was associated with glycans of heterologous N-glycoprotein found in food, inhalants, insect toxins, etc. The N-glycan structure of N-glycoprotein allergen has exerted an influence on the binding between allergens and IgE, while the recognition and presentation of allergens by antigen-presenting cells (APCs) were also affected. Some researches showed thatN-glycan structure of allergen was remodeled by N-glycosidase, such as cFase I, gpcXylase, as binding of allergen and IgE partly decreased. Thus, allergic problems caused by N-glycoproteins could potentially be solved by modifying or altering the structure ofN-glycoprotein allergens, addressing the root of the issue. Mechanism of N-glycans associated allergy could also be elaborated through glycosylation enzymes, alterations of host glycosylation. This article hopes to provide a separate insight for glycoimmunology perspective, and an alternative strategy for clinical prevention or therapy of allergic diseases.

ObjectiveBody fluid stains left at crime scenes are frequently trace amounts, while the identification of body fluids through real time fluorogenic quantitative technique often necessitates the repeated detection within the limited sample, as multiple miRNA markers are the basis for the identification. Based on the goal of both the throughput and efficiency improvement of miRNA analysis in trace samples, a duplex real time fluorogenic quantitative PCR assay system was designed to accurately quantify two miRNAs simultaneously, and the system should be further verified by actual sample for the body fluid identification. MethodsThe duplex real time fluorogenic quantitative PCR system of miR-451a to miR-21-5p was established with specially designed primers and probes, and the concentrations of the primers and probes were both optimized. The specificity, sensitivity and reproducibility of the system were validated, while its capability for body fluid identification was assessed using the miR-451a to miR-21-5p ratio. ResultsThe optimized assay system exhibited excellent specificity and repeatability, with coefficients of variation consistently below 8% for both intra- and inter-batch variability. The amplification efficiency of miR-451a and miR-21-5p reached 71.77% and 74.81%, respectively, with high and relatively consistent results. By utilizing this duplex real time fluorogenic quantitative PCR assay system, a total of 58 body fluid samples were analyzed, exhibiting a discrimination rate of 100% between blood and non-blood samples, as well as between peripheral blood and menstrual blood samples. Moreover, the results, obtained from single real time fluorogenic quantitative PCR assay system and duplex real time fluorogenic quantitative PCR assay system, showed no statistically significant difference with randomly selected blood samples (n=20). Compared to previous single real time fluorogenic quantitative PCR assay system, the sensitivity of duplex real time fluorogenic quantitative PCR assay system exhibited remarkable improvement. A minimum input of only 0.1 ng total RNA was sufficient for accurate detection of peripheral blood and menstrual blood samples, while saliva, semen, and vaginal secretion required only 1 ng total RNA for precise identification purposes. Additionally, the duplex real time fluorogenic quantitative PCR assay system successfully differentiated between different types of body fluids in simulated samples under natural outdoor conditions. ConclusionThe duplex real time fluorogenic quantitative PCR assay system effectively reduced both the time and material costs by half compared to the single system, especially suitable for the examination of body fluid stains left at crime scenes, solving the contradiction between the trace amount and the multiple sample volumes demand of repeated real time fluorogenic quantitative PCR. The duplex real time fluorogenic quantitative PCR assay successfully distinguished blood and other body fluid, as well as peripheral blood and menstrual blood samples, which maintains an equivalent capability for body fluid identification with half sample, time and reagent consumption. This system provides an efficient tool for identifying suspicious body fluids, as well as a foundation for more multiplexed real time fluorogenic quantitative PCR assay system research.

Objective To construct a list of quality scoring criteria for the attached sheet to the summary page of inpatient cases to achieve quantitative evaluation of the data quality.Methods It uses the Data Quality Management model of the American AHIMA as the evaluation framework to develop the list of data quality scoring criteria for the attached sheet,and score in Attached Sheet to the Summary Page of Inpatient Cases issued by the Hubei Provincial Health Commission as a demonstration.Results The average score of the 40 items in Attached Sheet to the Summary Page of Inpatient Casesis 6.725 out of 10.The main quality defects include that all items fail to clarify the person responsible for filling or the time limit for filling.In addition,some items are duplicated with the summary page(35%)or do not have a summary nature(40%).Conclusion Significant room exists for the improvement in the data quality of the attached sheet,especially in defining the person responsible and the time limit for filling in when setting up the items,making sure that the items supplement and extend the summary page,and applying effective quality control methods to the items.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.

Objective:To investigate the risk factors and their warning effectiveness for meniscus tear secondary to delayed anterior cruciate ligament (ACL) reconstruction.Methods:A retrospective cohort study was conducted to analyze the clinical data of 114 patients (114 knees) with ACL injury, who were admitted to Affiliated Hospital of Nanjing University of Chinese Medicine from December 2018 to December 2023, including 78 males and 36 females, aged 11-50 years [29(21, 35)years]. The patients were divided into tear group ( n=46) and non-tear group ( n=68) according to whether combined with meniscus tear or not during the surgery. Gender, age, duration of disease, smoking history, Body Mass Index (BMI), cause of injury, mechanism of injury, side of the injury, Beighton score, difference of KT-2000 examination, Tegner activity scale of the knee joint, anterior tibial translation sign, medial posterior tibial slope angle, lateral posterior tibial slope angle, and pivot shift grading of the patients in the two groups were recorded. Correlations between the above-mentioned indicators and occurrence of meniscus tear secondary to delayed ACL reconstruction were assessed. In the meantime, the independent risk factors were determined by univariate and multivariate binary logistic regression analysis. Receiver operating characteristic (ROC) curve and area under curve (AUC) were used to evaluate the warning effectiveness of each risk factor for meniscal tear secondary to delayed ACL reconstruction. Results:Univariate analysis showed correlation of duration of disease, BMI, Tegner activity scale of the knee joint, medial posterior tibial slope angle, lateral posterior tibial slope angle and high-grade pivot shift with occurrence of meniscus tear secondary to delayed ACL reconstruction ( P<0.01). The results of multivariate binary logistic regression analysis showed that the duration of disease ≥14.5 weeks ( OR=1.20, 95% CI 1.05, 1.38, P<0.01), BMI≥26.9 kg/m 2 ( OR=1.36, 95% CI 1.03, 1.81, P<0.05), Tegner activity scale of the knee joint ≥4 points ( OR=2.29, 95% CI 1.18, 4.46, P<0.05), medial posterior tibial slope angle ≥11.2° ( OR=2.27, 95% CI 1.06, 4.89, P<0.05) and high-grade pivot shift ( OR=0.03, 95% CI 0.01, 0.03, P<0.05) were significantly correlated with occurrence of meniscus tear secondary to delayed ACL reconstruction. Results of ROC curve analysis showed that the medial posterior tibial slope angle (AUC=0.86, 95% CI 0.80, 0.93) and duration of disease (AUC=0.85, 95% CI 0.77, 0.92) had good warning value, BMI (AUC=0.78, 95% CI 0.69, 0.87) and Tegner activity scale of the knee joint (AUC=0.73, 95% CI 0.64, 0.83) had ordinary warning value, and the warning value of high-grade pivot shift (AUC=0.60, 95% CI 0.49, 0.71) was the lowest. The combination of the risk factors revealed superior warning effectiveness for meniscus tear second to delayed ACL reconstruction (AUC=0.97, 95% CI 0.96, 1.00). Conclusions:The duration of disease ≥14.5 weeks, BMI ≥26.9 kg/m 2, Tegner score ≥4 points, medial posterior tibial slope angle ≥11.2°and high-grade pivot shift are independent risk factors for meniscus tear secondary to delayed ACL reconstruction. The medial posterior tibial slope angle and duration of disease have good warning value, BMI and Tegner scores have ordinary warning value and high-grade pivot shift has the lowest warning value. The combination of the above risk factors has better warning effectiveness for meniscus tear secondary to delayed ACL reconstruction.

Objective:This study aimed to explore the status of radiological Kashin-Beck disease (KBD) among school-aged children in Chamdo City, Tibet, through a 3-year monitoring survey, providing epidemiological evidence for prevention and control strategies.Methods:The target areas for this study were Luolong, Bianba, and Basu counties in Chamdo City, Tibet Autonomous Region, identified as having the most severe historical cases of KBD. Children aged 7-12 years attending school were enrolled as study subjects. Anteroposterior X-ray films of the right-hand were taken, and radiological diagnoses were made based on the "Diagnosis of Kashin-Beck Disease" criteria (WS/T 207-2010). Two experienced researchers independently reviewed the X-rays, and intra- and inter-group consistency were assessed using weighted Kappa values and percentage agreement. Cross-sectional surveys were conducted in 2017 and 2020 to describe the X-ray detection rates of KBD, and logistic regression analysis was employed to construct a predictive model of risk factors for radiological KBD cases.Results:In 2017, a total of 5,711 children aged 7-12 years in Chamdo City, Tibet, participated in the baseline cross-sectional survey (average age 9.2 years, 48.0% female), with 28 cases of radiological KBD. The age- and gender-standardized prevalence rate was 0.527%. In 2020, 6,771 participants (average age 9.3 years, 49.5% female) underwent a second cross-sectional survey, with 9 cases of radiological KBD and a standardized prevalence rate of 0.134%. Logistic regression analysis indicated that older age [ OR=2.439, 95% CI(1.299, 4.580), P=0.006] and female gender [ OR=8.157, 95% CI(1.016, 65.528), P=0.048] were independent risk factors for radiological KBD cases. Conversely, higher residential altitude, under the premise of Tibet's high altitude, was a protective factor [ OR=0.995, 95% CI(0.990, 0.999), P=0.032). Conclusion:The radiographically positive detection rate of KBD among school-aged children in Chamdo City, Tibet Autonomous Region, is at an extremely low level and showing a declining trend, reaching the historical standard in 2020. Considering the absence of positive signs in affected children, it suggests that local KBD has been effectively eliminated.

Objective To investigate the role and underlying mechanism of atorvastatin on hyper-glycemia induced hemorrhagic transformation(HT)in a mouse model of cerebral ischemia.Meth-ods A total of 36 SPF-grade male C57BL/6 mice were randomly divided into sham operation group,HT model group and atorvastatin group,with 12 mice in each group.HE staining was used to observe cerebral hemorrhage,immunofluorescent staining was employed to detect the integrity of blood-brain barrier,and Western blotting was applied to measure the protein expression of IgG,ZO-1,occludin,claduin5,MMP-2 and-9 in ischemic penumbra brain tissues.Results Com-pared with sham operation group,the neurological deficit score,mortality rate,HT incidence,HT grading score,IgG fluorescence intensity,and protein levels of IgG,MMP-2 and-9 were signifi-cantly increased,while the protein levels of ZO-1,occludin and claudin5 were obviously decreased in the HT model group(P＜0.01).Atorvastatin treatment resulted in significantly lower neuro-logical deficit score(2.73±1.19 vs 3.91±0.94),mortality rate(16.7％vs 41.6％),HT incidence(58.3％vs 91.6％),HT grading score(1.00±1.04 vs 2.58±1.13),IgG fluorescence intensity(504.30±105.52 a.u vs 859.91±153.28 a.u),and protein levels of IgG(4.55±1.40 vs 12.06± 3.73),MMP-2(1.87±0.41 vs 2.95±0.68)and-9(1.47±0.24 vs 2.12±0.23)(P＜0.05,P＜0.01),and increased protein levels of ZO-1(1.55±0.20 vs 0.53±0.10),occludin(0.92±0.11 vs 0.35±0.07)and claudin5(0.58±0.04 vs 0.30±0.05)(P＜0.01)when compared with the HT model group.Conclusion Atorvastatin can reduce the permeability of blood-brain barrier by in-hibiting the activation of MMP-2 and MMP-9 and up-regulating the protein levels of ZO-1,occlu-din and claudin5,and thus attenuate hyperglycemia-induced HT.