Objective To construct a prediction model for the population with hypertension and diabetes to assess the risk of chronic kidney disease (CKD), and to provide a scientific basis for formulating targeted CKD prevention and control measures. Methods Based on physical examination data from community residents aged 60 years and above in Nanjing in 2022, 10 221 patients with hypertension and diabetes were selected as the study subjects. Variables associated with CKD prevalence were screened using univariate analysis, and further variable selection was performed using LASSO regression. Finally, a CKD risk prediction model was constructed based on logistic regression. The model's performance was evaluated using the ROC curve and calibration curve. Results The prevalence rate of CKD in the study population was 22.71%, with a mean age of 71.66 years. LASSO regression identified seven variables associated with CKD: age, blood urea nitrogen (BUN), hemoglobin, uric acid, triglyceride-glucose (TyG) index, urine protein-to-creatinine ratio (UPCR), and medical insurance type. The final logistic regression model incorporated six variables: age [OR=1.067 (95% CI: 1.058-1.076)], BUN [OR=1.377 (95% CI: 1.338-1.418)], hemoglobin [OR=0.992 (95% CI: 0.989-0.995)], uric acid [OR=1.004 (95% CI: 1.003-1.004)], TyG index [OR=1.445 (95% CI: 1.324-1.577)], and self-payment medical insurance [OR=1.732 (95% CI: 1.542-1.945)]. The model had an AUC of 0.759 (95% CI: 0.747-0.770) and a Brier score of 0.140 (95% CI: 0.136-0.145), indicating good predictive performance. The calibration curve showed good agreement between the predicted risk and the observed value. Conclusion The constructed LASSO-logistic regression risk prediction model in this study can effectively assess the risk of CKD in elderly individuals aged 60 years and above with hypertension and diabetes, providing a basis for early identification of high-risk individuals and the formulation of targeted CKD prevention and control measures.

Objective To analyze the current status and influencing factors of occupational health literacy (OHL) among noise-exposed workers in the automotive manufacturing industry. Methods A total of 1 188 front-line workers in noise-exposed positions in the automotive manufacturing industry were selected by judgment sampling method. The OHL status of the workers was investigated using the Occupational Health Literacy Questionnaire of National Key Population, and the influencing factors of OHL were analyzed. Results The overall OHL level was 30.13% (358/1 188). The result of binary logistic regression analysis showed that marital status, educational level, personal monthly income, household registration, enterprise scale and weekly working hours were influencing factors of OHL level (all P<0.05). Specifically, being married, having a high school education or higher, monthly personal income >5 000 yuan, being from a non-agricultural household, working in a medium-sized enterprise, and working more than >40-48 hours per week were protective factors for high OHL levels (all P<0.05). Conclusion There is considerable room for improvement in the OHL of noise-exposed workers in the automotive manufacturing industry. Focus should be placed on workers who are unmarried, widowed, or divorced, have educational levels below high school, earn less than 5 000 yuan per month, have agricultural household registrations, work in small or micro-sized enterprises, or work ≤40 hours per week, with targeted strategies to improve their overall OHL level.

Objective To explore the impact of early discharge guidance,based on an intelligent education system,on postoperative pain management,functional recovery,and discharge readiness in lung cancer patients.Methods A total of 170 lung cancer patients were selected from Jinhua Municipal Central Hospital from July 2022 to June 2023.According to the time of admission,patients admitted between July to November 2022 were assigned to control group(n=82),while patients admitted between December 2022 to June 2023 were assigned to observation group(n=88).Control group received routine perioperative health education,while observation group received additional intelligent education system.Following outcomes were compared between two groups:Time to first ambulation after surgery,pain numeric rating scale(NRS)scores on postoperative 1 to 3 days and on day of discharge,performance on 2-minute step test on day of discharge,and readiness for hospital discharge scale(RHDS).Results Time to first ambulation post operative in observation group was shorter than that in control group.NRS scores at 72 hours post operative and on day of discharge were lower in observation group compared to control group.Number of steps completed in 2-minute step test in observation group was higher than that in control group.Additionally,RHDS scores in observation group was higher than that in control group,and all differences were statistically significant(P＜0.05).Conclusion The discharge planning advancement driven by the intelligent education system significantly improved early postoperative ambulation,reduced postoperative pain,enhanced physical function,and increased discharge readiness in lung cancer patients,thereby effectively promoting postoperative recovery.

Objective To explore the association between long working hours, anxiety symptoms, and insomnia symptoms among footwear industry workers, and to examine the mediating effect of anxiety symptoms between long working hours and insomnia symptoms. Methods A total of 710 workers from 15 footwear manufacturing enterprises in Guangdong Province were selected as study subjects using a stratified random sampling method. Long working hours, anxiety symptoms, and insomnia symptoms among the workers were assessed using the National Key Population Occupational Health Literacy Monitoring Questionnaire, the Chinese version of the Generalized Anxiety Disorder Self-Rating Scale, and the Self-Rating Sleep Questionnaire. Binary logistic regression was applied to analyze the associations of long working hours and anxiety symptoms with insomnia symptoms, and a mediation effect model was used to examine the mediating role of anxiety symptoms. Results The workers with long working hours accounted for 69.6% of participants. The detection rates of anxiety symptoms and insomnia symptoms were 17.0% and 20.7% in these workers, respectively. Binary logistic regression analysis showed that both long working hours and anxiety symptoms were influencing factors for insomnia symptoms (both P<0.01). Mediation analysis indicated that long working hours had a direct effect on insomnia symptoms, accounting for 67.9% of the total effect. Anxietysymptoms played a partial mediating role between long working hours and insomnia symptoms, with an effect value of 0.18 (95% confidence interval 0.07-0.30, P<0.01), accounting for 32.1% of the total effect. Conclusion Both long working hours and anxiety symptoms are influencing factors for insomnia symptoms among the footwear industry workers, and anxiety symptoms partially mediate the impact of long working hours on insomnia symptoms.

Objective To analyze the current status of occupational health literacy (OHL) among front-line workers in the metal products industry and to explore its influencing factors. Methods A total of 5 193 front-line workers from the metal products industry in 14 prefecture-level cities in Guangdong Province were selected as the research subjects by the stratified cluster random sampling method. The Occupational Health Literacy Questionnaire of National Key Populations was used to assess their OHL levels. To analyze the influencing factors of OHL, binary logistic regression analysis was conducted. Results The overall OHL level among the participants was 40.0% (2 079/5 193). The result of binary logistic regression analysis showed that workers with lower educational level, lower average monthly personal income, and smaller enterprise size had lower OHL levels (all P<0.01). In addition, workers in foreign-funded enterprises had higher OHL levels than those in private enterprises (P<0.01). Conclusion There remains considerable room for improvement in OHL among front-line workers in the metal products industry. Priority focus is to improve OHL among workers with lower education and income levels, as well as those employed in private and micro- or small-sized enterprises.

Receptor-interacting protein kinase 1 (RIPK1) plays an essential role in regulating the necroptosis and apoptosis in cerebral ischemia-reperfusion (I/R) injury. However, the regulation of RIPK1 kinase activity after cerebral I/R injury remains largely unknown. In this study, we found the downregulation of protein arginine methyltransferase 1 (PRMT1) was induced by cerebral I/R injury, which negatively correlated with the activation of RIPK1. Mechanistically, we proved that PRMT1 directly interacted with RIPK1 and catalyzed its asymmetric dimethylarginine, which then blocked RIPK1 homodimerization and suppressed its kinase activity. Moreover, pharmacological inhibition or genetic ablation of PRMT1 aggravated I/R injury by promoting RIPK1-mediated necroptosis and apoptosis, while PRMT1 overexpression protected against I/R injury by suppressing RIPK1 activation. Our findings revealed the molecular regulation of RIPK1 activation and demonstrated PRMT1 would be a potential therapeutic target for the treatment of ischemic stroke.

The accurate and timely detection of biochemical coagulation indicators is pivotal in pulmonary and critical care medicine. Despite their reliability, traditional laboratories often lag in terms of rapid diagnosis. Point-of-care testing (POCT) has emerged as a promising alternative, which is awaiting rigorous validation. We assessed 226 samples from patients at the First Affiliated Hospital of Guangzhou Medical University using a Beckman Coulter AU5821 and a PUSHKANG POCT Biochemistry Analyzer MS100. Furthermore, 350 samples were evaluated with a Stago coagulation analyzer STAR MAX and a PUSHKANG POCT Coagulation Analyzer MC100. Metrics included thirteen biochemical indexes, such as albumin, and five coagulation indices, such as prothrombin time. Comparisons were drawn against the PUSHKANG POCT analyzer. Bland-Altman plots (MS100: 0.8206‒0.9995; MC100: 0.8318‒0.9911) evinced significant consistency between methodologies. Spearman correlation pinpointed a potent linear association between conventional devices and the PUSHKANG POCT analyzer, further underscored by a robust correlation coefficient (MS100: 0.713‒0.949; MC100: 0.593‒0.950). The PUSHKANG POCT was validated as a dependable tool for serum and whole blood biochemical and coagulation diagnostics. This emphasizes its prospective clinical efficacy, offering clinicians a swift diagnostic tool and heralding a new era of enhanced patient care outcomes.
Humans ; Point-of-Care Testing ; Critical Care ; Blood Coagulation Tests/methods* ; Male ; Blood Coagulation ; Female ; Middle Aged ; Reproducibility of Results ; Prothrombin Time ; Aged ; Adult ; Point-of-Care Systems

Objective To investigate the prevalence of work-related musculoskeletal disorders (WMSDs) in passenger drivers and its influencing factors. Methods A total of 951 passenger drivers in Guangdong Province were selected as the research subjects using the judgmental sampling method. A Musculoskeletal Injury Questionnaire was employed to assess the prevalence of WMSDs in the past year. Results The prevalence of WMSDs in passenger drivers was 41.11%. The result of multivariable logistic regression analysis showed that married drivers had a higher risk of WMSDs than single drivers (P<0.05). The lower the frequency of physical exercise, the longer the driving time per week, the longer the continuous driving time, the more restricted the driving working space, the poorer the foot comfort during driving, and the more affected the normal meal, the higher the risk of WMSDs (all P<0.05). The risk of WMSDs in drivers with sleep time ≤ 8.0 h/d was higher than that in drivers with sleep time > 8.0 h/d (P<0.01), and the risk of WMSDs in drivers with the same posture for a long time on the shoulder was higher than that in drivers without this poor working posture (P<0.01). Conclusion WMSDs were prevalent among passenger drivers, which was associated with demographic and adverse ergonomic factors. Intervention on lifestyle and adverse ergonomic factors could further reduce the risk of WMSDs of passenger drivers.

Objective To analyze the occupational health literacy (OHL) level and its influencing factors of workers in non-metallic mineral product industry in Yunfu City. Methods A total of 947 frontline workers from 24 non-metallic mineral products enterprises in Yunfu City were selected as the research subjects using the stratified random sampling method. The OHL level of the workers were assessed using the Occupational Health Literacy Questionnaire of National Key Populations. Results The overall OHL level of the research subjects was 58.3% (552/947). The OHL levels across four dimensions, from highest to lowest, were basic knowledge of occupational health protection (94.7%), healthy work practices and behaviors (81.8%), legal knowledge of occupational health (65.5%), and basic skills of occupational health protection (25.9%). The results of binary logistic regression analysis showed that workers with 2.0-<10.0 years and ≥10 years of work experience had higher OHL levels than those with <2.0 years of work experience (all P<0.01). Workers with a high school education or above had higher OHL levels than those with a junior high school education or below (all P<0.01). Workers in large- and medium-sized enterprises had higher OHL levels than those in small and micro-sized enterprises (both P<0.01). Conclusion The OHL levels of workers in Yunfu City's non-metallic mineral products industry can be further improved, particularly the occupational health protection skills and related legal knowledge. Workers with short seniority, low educational level, and in small and micro enterprises should be the key groups for improving OHL levels.

Objective To develop a refined printer management system based on the PDCA cycle,aiming to improve both operational cost efficiency and medical service quality through full-process management.Methods A total of 400 printers in use at the Third Affiliated Hospital of Sun Yat-sen University(Zhaoqing Hospital)were included from June 2024 to May 2025.The period from June to November 2024 was designated as the pre-refinement phase(under conventional management),while December 2024 to May 2025 served as the post-refinement phase(under PDCA-based refined management).A fishbone diagram was used to identify root causes of previous management inefficiencies,and targeted measures were developed and implemented.Outcomes were compared between the two phases.Results After implementing the PDCA cycle,the average equipment utiliza-tion rate increased by 5.41％,indicating optimized resource allocation.The average page yield per drum increased by 3.51％,reflecting improved consumable efficiency and reduced operational costs.The incidence of driver failures decreased by 34.71％,and operational issues dropped by 7.25％,demonstrating enhanced device reliability and system stability.Consultation-related work orders increased by 78.68％,and routine maintenance tasks rose by 30.62％,signaling a shift from reactive repairs to pro-active preventive maintenance.Conclusion The PDCA-based refined management model effectively enhances printer operational efficiency,reduces resource waste,and improves device reliability.This approach reinforces a patient-centered service philosophy by increasing the accuracy and efficiency of medical documentation output,thereby supporting safer and more efficient healthcare delivery.