Objective: To analyze the occupational health literacy (OHL) level and its influencing factors among key populations in the tertiary industry in Lu'an City, Anhui Province, so as to provide a basis for developing targeted health interventions and improving regional occupational health policies. Methods: A stratified cluster random sampling method was employed to select five categories of key populations from the tertiary industry in Lu'an City as study subjects from August to September 2024. Data on gender, age, education level, and OHL were collected through the National OHL Monitoring Questionnaire for Key Populations. The OHL levels were analyzed, and influencing factors of OHL levels among key populations were analyzed using a multivariable logistic regression model. Results: A total of 1 243 individuals were surveyed, comprising 700 (56.32%) males and 543 (43.68%) females. The median age was 42.00 (interquartile range, 17.00) years. There were 609 individuals with OHL, and the OHL level was 48.99%. The OHL levels in fundamental knowledge of occupational health protection, healthy work styles and behaviors, knowledge of occupational health laws, and basic skills for occupational health protection were 84.71%, 60.34%, 43.93%, and 37.09%, respectively. Multivariable logistic regression analysis showed that educational level (primary school and below, OR=0.149, 95%CI: 0.064-0.344; junior high school, OR=0.340, 95%CI: 0.184-0.629; high school, OR=0.408, 95%CI: 0.230-0.723), average monthly personal income (3 000-<5 000 yuan, OR=1.655, 95%CI: 1.092-2.508; 5 000-<7 000 yuan, OR=2.195, 95%CI: 1.302-3.699; ≥7 000 yuan, OR=2.062, 95%CI: 1.016-4.183), employer nature (private enterprises, OR=2.992, 95%CI: 1.569-5.443), and industry category (education, OR=3.423, 95%CI: 1.407-8.327; courier / food delivery services, OR=0.459, 95%CI: 0.268-0.787; healthcare, OR=7.539, 95%CI: 3.255-17.461) were statistically associated with the OHL level among key population. Conclusion The OHL level among key population in the tertiary industry of Lu'an City can be further enhanced, with educational level, average monthly personal income, employer nature, and industry category identified as the primary influencing factors.

Objective To analyze the relationships of serum microRNA(miR)-15,miR-16,miR-17-5p,and triglyceride-glucose index(TyG)with severity and prognosis of acute ischemic stroke(AIS).Methods A total of 136 AIS patients admitted to the Shijiazhuang Hospital of Traditional Chi-nese Medicine from April 2023 to April 2024 were enrolled.Prognosis and disease severity were as-sessed using modified Rankin Scale(mRS)and National Institutes of Health Stroke Scale(NIHSS),respectively.Based on mRS scores at 3 months post-onset,patients were divided into poor prognosis group(mRS Score＞2,n=42)and good prognosis group(mRS Score ≤ 2,n=94).Serum levels of miR-15,miR-16,miR-17-5p,TyG,and NIHSS scores were compared between two groups.Pearson correlation analysis was used to evaluate associations of these biomarkers with NIHSS scores.Logistic regression was used to identify risk factors for poor prognosis,while receiver operating characteristic(ROC)curves was applied to assess the predictive value of individual and combined biomarkers.Results The poor prognosis group exhibited significantly higher serum miR-15,miR-16,miR-17-5p,TyG,and NIHSS scores than the good prognosis group(t=8.634,13.171,29.018,2.687,26.432;P＜0.05).Positive correlations were observed between these biomarkers and NIHSS scores(r=0.472,0.449,0.492,0.437;P＜0.05).Logistic regression identified miR-15[OR(95％CI):3.526(2.628 to 5.859)],miR-16[1.976(1.226 to 3.017)],miR-17-5p[1.828(1.294 to 3.428)],NIHSS score[1.787(1.105 to 2.896)],TyG[1.886(1.233 to 3.284)],and homo-cysteine[1.906(1.252 to 3.794)]as independent risk factors for poor prognosis(P＜0.05).ROC analysis demonstrated that the combined model(miR-15,miR-16,miR-17-5p,TyG,and NIHSS)achieved superior predictive performance(AUC=0.877;95％CI,0.820 to 0.948)com-pared to individual biomarkers(Z＞2.527,P＜0.05).Conclusion Elevated serum miR-15,miR-16,miR-17-5p,and TyG are closely associated with AIS severity and poor prognosis.The above indicators combined with NIHSS scores can enhance predictive accuracy for unfavorable outcomes.

Objective Analyze the epidemiological characteristics of respiratory virus infections in Kunming area during 2023-2024,and explore the detection rates of different virus types and their distribution patterns across different time periods and age groups.Methods A total of 10354 nasopharyngeal swab or sputum samples were retrospectively collected from patients with acute respiratory infections who visited the Third People's Hospital of Kunming City between March 2023 and June 2024.Multiple pathogens were detected using real-time fluorescent quantitative polymerase chain reaction(RT-qPCR)technology.A retrospective analysis was then conducted on the clinical laboratory detection results,statistically analyzing the overall detection rates of various respiratory viruses,multiple infection phenomena,gender differences,age distribution,seasonal variations,infection site differences,and monthly infection situations.Results Among the 10354 patient respiratory samples tested,3368 pathogen infections were detected,with a detection rate of 32.53%(3368/10354).204 patients presented with mixed infections of≥2 pathogens,with a mixed detection rate of 6.06%(204/3368).The single detection rate for females was significantly higher than males(P<0.001),and the multiple infection detection rate for males is significantly higher than females(P<0.05),indicating that males may have a higher risk of concurrent infections.Among different age groups,the virus detection rate was highest in the 5-18 years age group at 55.87%.Significant differences were observed in the detection rates of FluA,FluB,and SIV-H3 across different disease types(P<0.05).In March 2023,the detection rate was highest at 54.27%(5619/10354),with Influenza A virus(FluA)and seasonal influenza H3 subtype(SIV-H3)being the most detected pathogens.Conclusion In acute respiratory infection(ARI)cases in the Kunming area,FluA,FluB,and SIV-H3 were the primary viral pathogens,with the region's viral epidemic characteristics closely related to patient age stages,seasonal changes,and infection site factors.

To summarize the nursing experience of a patient with T-cell precursor acute lymphoblastic leukemia complicated with excessive dynamic airway collapse.Key nursing points include:efficient treatment of airway collapse to avoid causes of airway hyper responsiveness;avoiding the blockage of phlegm suppository,ensuring a safe and smooth airway;preventing the risks of hemorrhage and thrombosis,and strictly implement hospital infection prevention and control measures.After active rescue and careful nursing care,the patient was transferred back to the general thoracic surgery ward 13 days later,improved 17 days later,and was admitted to the cancer hospital for continued treatment.

BACKGROUND:The causal relationship between modifiable factors such as lifestyle,metabolic characteristics,and nutritional intake and joint sports injuries has been increasingly recognized in clinical studies.However,the exact causal relationship between these modifiable factors and joint sports injuries remains unclear. OBJECTIVE:To investigate the causal relationship between modifiable factors and joint sports injuries using Mendelian randomization to provide a basis for sports injury prevention. METHODS:The GWAS dataset of intervening factors and joint sports injuries was obtained from publicly available data.The causal relationships between lifestyle,metabolic characteristics,nutritional intake,and joint sports injuries were explored using the inverse variance weighting method,the MR-Egger method,and the weighted median method.For sensitivity analyses,Cochran's Q test,MR-Egger regression,leave-one-out method,and MR-PRESSO were used to verify the stability and reliability of the results. RESULTS AND CONCLUSION:(1)In terms of lifestyle,coffee(OR=0.29,95%CI:0.10-0.79,P=0.016),and tea consumption(OR=0.41,95%CI=0.19-0.85,P=0.017)were associated with a decreased risk of ankle and foot joint sports injuries,and coffee consumption(OR=3.31,95%CI=1.02-10.73,P=0.046)was potentially causally associated with an increased risk of shoulder joint sports injuries;and never smoking(OR=0.78,95%CI=0.70-0.87,P=1.49×10-5)was significantly causally associated with a decreased risk of ankle and foot joint sports injuries.(2)In terms of metabolic characteristics,calcium levels(OR=0.88,95%CI=0.79-0.98,P=0.017)were potentially causally associated with a decreased risk of wrist and hand joint sports injuries.(3)In terms of nutritional intake,vitamin A intake(OR=1.08,95%CI:1.02-1.13,P=0.007)was potentially causally associated with increased risk of knee joint sports injury.(4)For the sensitivity analysis,Cochran's Q test showed the existence of heterogeneity(P<0.05),so the random effect model was used for the analysis.MR-Egger regression and MR-PRESSO test did not find evidence of pleiotropy(P>0.05),and the leave-one-out method showed that the results were stable after eliminating single nucleotide polymorphisms one by one.(5)This study preliminarily reveals the effects of modifiable factors,such as lifestyle,metabolic characteristics,and nutritional intake,on the risk of joint sports injuries.It provides valuable research evidence and guidance for the prevention of joint sports injuries.

Crohn's disease (CD) is a refractory and recurrent chronic inflammatory bowel disease with an unclear etiology. In addition to intestinal symptoms, the disease is often accompanied by various extraintestinal manifestations. Studies have found that abnormalities in central nervous system activity in CD patients are closely related to the brain-gut axis, which may be one of the reasons for the high incidence of adverse emotions such as anxiety and depression. Functional magnetic resonance imaging (fMRI) has been widely used in the field of neurogastroenterology due to its non-invasiveness, high spatial resolution, and whole-brain coverage. This article reviews the application and progress of fMRI in CD brain functional study, aiming to comprehensively analyze and integrate the impact of the disease on brain function and provide a reference for clinical diagnosis, treatment, and future research.

Objective:To explore the clinical characteristics and healthcare burden in patients with McCune-Albright syndrome (MAS).Methods:A cross-sectional study was conducted at the Children′s Hospital, Zhejiang University School of Medicine. Clinical and healthcare burden data were systematically collected through structured questionnaires in 164 children with MAS from February 2022 to May 2023. According to the clinical characteristics, patients were categorized into 3 groups: monosymptomatic, bisymptomatic and trisymptomatic groups. Patients were also divided into 3 groups according to the age of <7, 7-<10 and 10-18 years. Comparative analyses of clinical characteristics and healthcare burden were conducted across age, sex, and symptom categories.Results:The cohort comprised 59 males (36.0%) and 105 females (64.0%) with an age of 4.6 (2.0, 7.4) years. Age stratification revealed 117 cases (71.3%) aged 0-<7 years, 29 cases (17.7%) aged 7-<10 years, and 18 cases (11.0%) aged 10-<18 years. Among monosymptomatic (67 cases, 40.9%), the cohort comprised 32 females (47.8%) and 35 males (52.2%), predominantly presenting with fibrous dysplasia (57 cases, 85.1%). This subgroup showed peak prevalence in the 0-<7 years age range (29 cases (50.9%)). The bisymptomatic cohort (56 cases, 34.1%) consisted of 39 females (69.6%) and 17 males (30.4%), predominantly manifesting fibrous dysplasia with skin hyperpigmentation (25 cases, 44.6%). Peak prevalence occurred in the 0-<7 years subgroup(16 cases (64.0%)). The trisymptomatic cohort (41 cases, 25.0%) consisted of 34 females (82.9%) and 7 males (17.1%), with peak prevalence occurring in the 0-<7 years subgroup (36 cases (87.8%)). The diagnostic journey analysis revealed 94 cases (57.3%) required 1-3 referrals, and 34 cases (20.7%) necessitated >3 referrals from symptom onset to definitive diagnosis. Healthcare expenditure analysis revealed 69 families (42.1%) incurred direct medical costs of 10 000-100 000 CNY, with 11 families (6.7%) exceeding >100 000 CNY. Direct non-medical costs reached of 10 000-100 000 CNY for 62 families (37.8%) and >100 000 CNY for 4 families (2.4%). Productivity loss affected 58 families (35.4%) at 10 000-100 000 CNY and 8 families (4.9%) above 100 000 CNY during the study period.Conclusion:MAS requires increased attention to skeletal manifestations, especially in children aged 0-<7 years. Moreover, the significant financial burden on families necessitates a society-wide support system.

Objective:To explore the molecular mechanism of miR-4508 regulating the inflammatory response of human bronchial epithelial cells induced by representative chrysotile asbestos.Methods:The chrysotile asbestos was ground into ultrafine dust using a horizontal planetary instrument, and human bronchial epithelium (16HBE) cells were taken as the object of infection. Cell survival rate was detected by cell counting kit-8 method, cytotoxicity was detected by lactate dehydrogenase (LDH) kit. The released of inflammatory factor IL-6 was detected by electrochemical luminescence. The released inflammatory factor IL-8 was detected by enzyme-linked immunosorbent assay. The expression level of miR-4508 was screened and verified by reverse transcription-quantitative real-time polymerase chain reaction. After 16HBE cells were treated with AKT inhibitor MK2206, the phosphorylation levels of AKT and PTEN were detected by western blot. The expression levels of AKT and PTEN and the contents of IL-6 and IL-8 were detected in miR-4508 overexpression and interference experiments.Results:With the increase of chrysotile asbestos exposure concentration, the cell survival rate decreased in a concentration-dependent manner, and the LDH content gradually increased. The secretion of IL-6 and IL-8 in chrysotile 25, 50 and 75 μg/ml groups were (325.92±8.61) pg/ml, (331.51±4.96) pg/ml, (378.74±13.77) pg/ml, and (94.95±3.11) pg/ml, (357.60±1.80) pg/ml, (537.19±3.11) pg/ml, respectively, while the group with 0 μg/ml chrysotile was (95.85±1.20) pg/ml and (7.81±0.00) pg/ml ( P＜0.05). In addition, chrysotile asbestos exposure to 16HBE could induce the high expression of miR-4508 . After pretreatment with MK2206, the phosphorylation levels of AKT and PTEN were decreased, the contents of IL-6 and IL-8 were significantly decreased, and the expression level of miR-4508 was significantly reduced. Overexpression of miR-4508 significantly increased the expressions of AKT and PTEN, and the contents of IL-6 and IL-8 ( P＜0.01). After interfering with miR-4508, the expressions of AKT and PTEN were significantly decreased, and the contents of IL-6 and IL-8 were significantly decreased ( P＜0.01). Conclusions:Chrysotile asbestos can induce the inflammatory response of 16HBE cells and up-regulate the expression level of miR-4508. The up-regulation of miR-4508 promotes the 16HBE inflammatory response induced by chrysotile asbestos through the PI3K/AKT pathway.

Objective:To investigate the utilization of inpatient service and influencing factors among pneumoconiosis patients in Chongqing within one year, and to provide a reference basis for the formulation of relevant policies by health management departments.Methods:From October 2020 to October 2023, a multi-stage cluster random sampling method was adopted to select 2002 patients with confirmed pneumoconiosis as the research subjects. A questionnaire survey was conducted on their basic information, inpatient service utilization within one year, treatment for pneumoconiosis-related symptoms, and choice of medical service institutions. Chi-square test and logistic regression were used for statistical analysis.Results:All 2002 pneumoconiosis patients were male, with 40.16% (804/2002) aged 46-55 years old, and 83.32% (1668/2002) currently residing in rural areas. The monthly income of the patients was 833 (167, 2000) yuan, and 22.03% (441/2002) had no income. 30.97% (620/2002) of the patients spent more than 5001 yuan per year on treatment for pneumoconiosis, and 14.64% (293/2002) had debts of more than 5001 yuan. 42.06% (842/2002) had no work-related injury insurance. 21.68% (434/2002) of the patients self-assessed their health status as very poor or poor. The one-year inpatient rate of the patients was 51.25% (1026/2002), and the total inpatient time within one year was 18 (10, 51) days. The inpatient expenses were 6000 (1000, 16625) yuan. Through univariate analysis, the one-year inpatient rates of pneumoconiosis patients were statistically significantly different among different age groups, current employment status, annual household income levels, types of pneumoconiosis, stages of pneumoconiosis, presence or absence of work-related injury insurance, whether receiving minimum living allowances and social assistance related to pneumoconiosis, and different segments of self-assessed health status ( P<0.05). Patients with stage Ⅲ pneumoconiosis, those who received social assistance and minimum living allowances related to pneumoconiosis had higher one-year inpatient rates ( P<0.05), with OR values of 3.893, 1.859, and 2.589, respectively. Conclusion:The utilization of inpatient service by pneumoconiosis patients is influenced by demographic characteristics, social support, and disease factors. It is necessary to enhance the occupational disease diagnosis and treatment capabilities of primary health institutions, build a multi-level social support network, and ensure that patients can conveniently access medical services.

Medical equipment, as an important indicator of smart hospital evaluation, plays a vital role in hospital operations. To ensure the safe and efficient operation of medical equipment, a reasonable performance evaluation system is indispensable. This study introduces a platform based on Internet of Things (IoT) technology that connects medical devices and collects data, achieving standardized and structured data processing, and supporting online operational supervision. Through the Delphi method, a performance evaluation system for large medical equipment is constructed, including 4 primary indicators and 22 secondary indicators. DICOM data acquisition devices are used to achieve functions such as efficiency analysis, benefit analysis, usage evaluation, and decision-making support for medical equipment. The study is still in its early stages, and in the future, it is expected to integrate more types of equipment, achieve rational resource allocation, and significantly impact decision-making for the development of public hospitals.
Internet of Things ; Delphi Technique