Objective To investigate occupational exposure levels of lead, arsenic and cadmium in the lead smelting plant of Hunan Shui Kou Shan Nonferrous Metals Group Co. Ltd., analyze their effects on health of employees, and compare the applicability of different occupational health risk assessment methods, and to provide a basis for prevention and control of occupational exposure risks in enterprises. Methods According to systematic sampling method, 380 employees with lead, arsenic and cadmium exposure (exposure group) and 100 non-exposure employees (non-exposure group) were selected from 2022 to 2024 for on-site investigation of occupational health [concentration time-weighted average (C_TWA)] and physical examination. The risk was evaluated by qualitative assessment method, the U.S. Environmental Protection Agency (EPA) inhalation risk assessment method, and the Singapore Ministry of Manpower (MOM) semi-quantitative method. The consistency was analyzed by the Kappa test. Results C_TWA values of lead, arsenic, and cadmium in all positions were lower than the occupational exposure limit (OEL). The levels of blood lead, urine arsenic, and urine cadmium, as well as the prevalence of multiple systems in the exposure group were significantly higher than those in the non-exposure group (P<0.05). The proportions of chronic lead, arsenic, and cadmium poisoning were increasing year by year in the exposure group (P<0.05). The qualitative assessment method mainly indicated low and medium risk, while the EPA and MOM methods mainly indicated medium and high risk, with good agreement between the two methods (Kappa=0.676, P<0.05). Conclusion Although the enterprise meets the C_TWA standards, there are still occupational health risks of lead, arsenic, and cadmium. The EPA inhalation risk assessment method is more applicable.

ObjectiveTo analyze the comorbidity patterns of chronic metabolic diseases and their influencing factors among residents aged 35‒75 years old in Nantong City of Jiangsu Province, and to provide theoretical support for the prevention and control of comorbidities. MethodsThe permanent residents aged 35‒75 years from the Comprehensive Prevention and Control Project of Cardiovascular and Cerebrovascular Diseases in Nantong City from 2021 to 2024 were selected as the research subjects. Clustering analysis and association rule were used to investigate the comorbidity patterns of chronic metabolic diseases, and their influencing factors were identified through logistic regression analyses. ResultsThe prevalence of comorbidity of chronic metabolic diseases among residents aged 35‒75 years in Nantong City was 47.40%. Among comorbidity patterns based on disease counts, the prevalence of hypertension+dyslipidemia was highest in binary comorbidity patterns (6.25%), while that of hypertension+dyslipidemia+obesity was highest in ternary comorbidity patterns (4.01%). Association rules showed that in both binary and ternary comorbidity patterns, the confidence level was highest for obesity+hypertension (72.70%) and obesity+dyslipidemia+hypertension (74.54%). Renal insufficiency formed an independent cluster in cluster analyses. Logistic regression analyses revealed that, compared with the non-comorbidity group, males (OR=2.22, 95%CI: 1.69‒2.91), advanced age (45‒54 years, OR=1.38, 95%CI: 1.02‒1.88; 55‒64 years, OR=1.59, 95%CI: 1.14‒2.23; 65‒75 years, OR=2.34, 95%CI: 1.58‒3.47), and low physical activity (OR=1.26, 95%CI: 1.10‒1.65) were influencing factors for metabolic disease comorbidity. ConclusionIn the comorbidity patterns of chronic metabolic diseases among residents aged 35‒75 years in Nantong City, hypertension, diabetes mellitus, and dyslipidemia interact with each other. Individuals with obesity are more prone to diseases such as hypertension and dyslipidemia. Prevention and control of chronic metabolic diseases should be strengthened for males, individuals with low physical activity and advanced age.

OBJECTIVE To screen and quantitatively analyze the quality marker （Q-Marker） associated with anti-renal fibrosis in Shenqi shenshuai mixture （SQSS）， so as to provide references for the analysis of pharmacodynamic substances and new drug transformation of SQSS. METHODS The chemical components of SQSS were characterized by untargeted metabolomics. Combined with network pharmacology， gene expression omnibus （GEO） and connectivity map （CMAP） databases， the anti-renal fibrosis Q-Markers of SQSS were screened. HPLC-MS/MS was applied to determine the contents of Q-Markers in 10 batches of SQSS. RESULTS A total of 1 319 compounds were identified from SQSS via untargeted metabolomics，and 84 active ingredients with anti-renal fibrosis activity were further screened out， such as formononetin. Nine anti-renal fibrosis Q-Markers were obtained by network pharmacology and GEO database， including berberine， quercetin， honokiol， nicotinamide， daidzein， coumarin， kaempferol， formononetin and amygdalin. The quantitative results showed that the average contents of the above components （excluding amygdalin） in 10 batches of SQSS were 2.523， 1.942， 26.848， 1.415， 0.692， 0.171， 0.374， 7.401 μg/mL， respectively. CONCLUSIONS Nine anti-renal fibrosis Q-Markers of SQSS were screened in this study， and the contents of eight among them were determined. The results can provide a basis for elucidating the pharmacodynamic material basis and promoting the new drug transformation of SQSS.

OBJECTIVE To screen and quantitatively analyze the quality marker （Q-Marker） associated with anti-renal fibrosis in Shenqi shenshuai mixture （SQSS）， so as to provide references for the analysis of pharmacodynamic substances and new drug transformation of SQSS. METHODS The chemical components of SQSS were characterized by untargeted metabolomics. Combined with network pharmacology， gene expression omnibus （GEO） and connectivity map （CMAP） databases， the anti-renal fibrosis Q-Markers of SQSS were screened. HPLC-MS/MS was applied to determine the contents of Q-Markers in 10 batches of SQSS. RESULTS A total of 1 319 compounds were identified from SQSS via untargeted metabolomics，and 84 active ingredients with anti-renal fibrosis activity were further screened out， such as formononetin. Nine anti-renal fibrosis Q-Markers were obtained by network pharmacology and GEO database， including berberine， quercetin， honokiol， nicotinamide， daidzein， coumarin， kaempferol， formononetin and amygdalin. The quantitative results showed that the average contents of the above components （excluding amygdalin） in 10 batches of SQSS were 2.523， 1.942， 26.848， 1.415， 0.692， 0.171， 0.374， 7.401 μg/mL， respectively. CONCLUSIONS Nine anti-renal fibrosis Q-Markers of SQSS were screened in this study， and the contents of eight among them were determined. The results can provide a basis for elucidating the pharmacodynamic material basis and promoting the new drug transformation of SQSS.

Objective To systematically evaluate the risk prediction models for postoperative pulmonary infection in patients with esophageal cancer, providing an objective basis for clinical selection and optimization of models. Methods A systematic search was conducted in Chinese and English databases such as VIP, Wanfang, CNKI, CBM, PubMed, Cochrane Library, Embase, and Web of Science for studies related to the risk prediction models of postoperative pulmonary infection in patients with esophageal cancer from the inception to September 30, 2024. The PROBAST tool was used to assess the quality of prognostic model research, and the RevMan 5.4 software was used for meta-analysis of predictive factors. Results A total of 17 articles were included, containing 26 pulmonary infection risk prediction models. The area under the receiver operating characteristic curve (AUC) ranged from 0.627 to 0.942, among which 21 models had good predictive performance (AUC>0.7). Quality assessment through the PROBAST tool revealed that all 17 articles had a high risk of bias. Meta-analysis results showed that common predictive factors for postoperative pulmonary infection in esophageal cancer included smoking history (OR=1.97), smoking index ≥200 (cigarettes-years) (OR=4.38), smoking index ≥400 (cigarettes-years) (OR=2.00), age (OR=1.27), comorbid diabetes (OR=2.13), comorbid emphysema or chronic obstructive pulmonary disease (OR=1.55), low plasma albumin levels (OR=1.17), prognostic nutritional index (OR=4.45), history of related lung diseases (OR=2.10), tumor location (OR=2.32), surgical approach (OR=2.21), operation time (OR=1.73), preoperative serum procalcitonin levels (OR=3.06), anastomotic leakage (OR=3.39), reduced forced expiratory volume in the first second/forced vital capacity ratio (OR=0.86), and hoarseness (OR=2.23). Conclusion At present, the risk prediction models for postoperative pulmonary infection in esophageal cancer are still in the stage of continuous development and optimization, and their research quality needs to be further improved. Future research can refer to the predictive factors summarized in this study based on meta-analysis, combined with clinical practice, to select appropriate methods to construct and validate the risk prediction models for postoperative pulmonary infection in esophageal cancer, thus providing early targeted preventive strategies for high-risk patients.

Objective:To construct curved microgrooves with gradient surface roughness on polycaprolactone (PCL) members by regulating alkali etching time and to investigate the synergistic effect of surface roughness and curved microgrooves on the in vitro osteogenic differentiation of mouse pre-osteoblasts (MC3T3-E1), aiming to determine the optimal PCL surface modification strategy. Methods:Soft lithography and melt-casting techniques were used to fabricate PCL membranes with regularly arranged curved microgrooves (CMP). Alkali etching was performed for 24, 48, and 72 h. Groups: smooth PCL (control), CMP (curved microgrooves only), CMP-24 h, CMP-48 h, CMP-72 h (CMP etched for 24, 48, 72 h, respectively). Surface physicochemical properties were characterized: surface morphology was observed by scanning electron microscopy (SEM), surface roughness was measured by atomic force microscopy (AFM), and surface hydrophilicity was evaluated by contact angle measurement. MC3T3-E1 cells were cultured in vitro. Cell adhesion, proliferation, and osteogenic differentiation were assessed using cell counting (CCK-8), immunofluorescence staining, alkaline phosphatase (ALP) and Alizarin red staining with quantification. The mRNA expression levels of osteogenesis-related genes [ALP, collagen type Ⅰ (COL-1), Runt-related transcription factor 2 (RUNX-2), osteocalcin (OCN), osteopontin (OPN)] were detected by real-time fluorescence quantitative PCR (RT-qPCR). Results:Curved microgrooves were successfully fabricated on PCL membranes. Alkali treatment improved surface hydrophilicity and increased roughness. The CMP-72 h group exhibited the best hydrophilicity (contact angle: 33.2°±5.5°), with significant differences compared to all other groups (all P<0.05). The CMP-72 h group showed the highest roughness [(59.966±4.729) nm], which was significantly different from all other groups (all P<0.05). CCK-8 results on day 5 showed that both curved microgrooves and roughness promoted cell proliferation: CMP-24 h (0.292±0.003) and CMP-72 h (0.383±0.004) were significantly higher than those in the smooth group (0.270±0.005) (all P<0.05). Immunofluorescence staining revealed that curved microgrooves induced significant contact guidance of cells; this effect weakened with increasing etching time. ALP and Alizarin red staining indicated the deepest osteogenic staining in the CMP-48 h group. Both ALP activity (0.013 021±0.000 032) and Alizarin red quantification (0.290±0.003) were highest in the CMP-48 h group, significantly different from all other groups (all P<0.05). RUNX-2 expression in CMP-24 h and CMP-48 h groups (1.845±0.087 and 1.837±0.027, respectively) was significantly higher than in other groups (all P<0.05), with no significant difference between these two groups ( P>0.05). CMP-48 h group exhibited the highest mRNA expression of all osteogenic genes tested, specifically ALP (2.194±0.028), COL-1 (1.983±0.024), OCN (7.644±0.156), and OPN (2.648±0.031), all significantly greater than other groups (all P<0.05). Conclusions:Both curved microgrooves and surface roughness modification enhance the in vitro osteogenic differentiation of cells on PCL membranes. Among the tested strategies, alkali etching of curved microgrooves for 48 hours (CMP-48h) provided the optimal enhancement of osteogenic capability for MC3T3-E1 cells and represented a promising surface modification strategy for future PCL membranes.

To investigate the infection status of two arboviruses,akabane orthobunyavirus(AKAV)and bluetongue virus(BTV),in cattle herds of Guizhou Province,we employed the indirect ELISA method to detect AKAV and BTV antibody levels in the present experiment.A total of 1504 bovine serum samples from 37 large-scale farms and 88 free-range households from 26 districts or coun-ties of 7 cities(prefectures)of Guizhou Province were collected to detect AKAV antibody levels.Additionally,1 241 serum samples from 30 large-scale farms and 15 free-range households in 19 districts or counties of 3 cities(prefectures)were tested for BTV antibody levels.Moreover,two influencing factors,breeding mode and sampling season,were statistically analyzed for their effects.The results showed that the overall positive rate of AKAV antibodies was 11.64％(175/1 504),with individual positive rates of 13.20％(123/934)and 9.12％(52/570)in large-scale farms and free-range households,respectively.No significant differences were observed between the two groups.However,the farm positive rate(64.86％,24/37)in large-scale farms was significantly higher than that(26.14％,23/88)in free-range households.Seasonal statistics showed that the positive rate was highest during the summer season at 60.00％(12/20).The total positive rate of BTV antibodies was 25.42％(222/1 241).The farm positive rate and individual positive rate in free-range households were 66.67％(10/15)and 41.91％(57/136),respectively.For large-scale farms,these rates were 60.00％(18/30)and 14.93％(165/1 105),respectively.The individual pos-itive rate in free-range households was significantly higher than that in large-scale farms.Seasonal statistics showed that the positive rates in summer and autumn seasons were 50.00％(5/10)and 72.41％(21/29),respectively,both of which were significantly higher than those in winter and spring seasons.All these findings indicated that both AKAV and BTV were present to a certain ex-tent in Guizhou Province,with seasonality.Furthermore,differences were observed between the different breeding modes.Our results could provide a data reference for the formulation of preven-tion and control measures for the two insect-borne diseases.

Objective:To evaluate the role of a single PET-CT scan in predicting survival and prognosis in patients with non-small cell lung cancer (NSCLC) who did not undergo surgery but received radiotherapy after neoadjuvant chemotherapy combined with immunotherapy.Methods:A retrospective analysis was conducted on the data of 23 NSCLC patients treated at the Cancer Hospital of the Chinese Academy of Medical Sciences from May 2022 to June 2024. All patients were pathologically confirmed, received neoadjuvant chemotherapy combined with immunotherapy, did not undergo surgery for various reasons, and instead received radiotherapy. Each patient underwent only one PET-CT scan after neoadjuvant chemotherapy combined with immunotherapy and before radiotherapy. According to the maximum standardized uptake value (SUV max) on PET-CT, patients were divided into the low-uptake group (SUV max < 8, n=12) and high-uptake group (SUV max ≥ 8, n=11). Survival analysis was performed using the Kaplan-Meier method with survival curves plotted. Univariate analysis of influencing factors of survival was conducted using the Cox proportional hazards regression model. Clinical characteristics and survival outcomes of the two groups were compared, including progression-free survival (PFS) and overall survival (OS). Results:The 1-year PFS rates were 100% in the low-uptake group, 54.5% in the high-uptake group. This difference was statistically significant ( P=0.007). The 1-year and 2-year OS rates were both 100% in the low-uptake group, the 1-year and 2-year OS rates were both 90.9% in the high-uptake group, with no statistically significant difference ( P=0.394). Univariate Cox analysis identified age as an independent factor affecting PFS. Conclusions:For NSCLC patients who did not undergo surgical resection but received radiotherapy after neoadjuvant chemotherapy combined with immunotherapy, a single PET-CT scan before radiotherapy has potential value in predicting PFS. However, clinical studies with larger sample size and longer follow-up are required to evaluate its predictive value for OS.

Robot-assisted surgery with its advantages such as three-dimensional high-definition vision, dexterous robotic arms, and tremor filtration, is increasingly being applied to complex radical gastrectomy. However, the role of the surgical assistant remains crucial during the procedure. The assistant is responsible for tasks outside the console, including adjusting robotic arms, changing instruments, exposing the surgical field, and addressing unexpected situations. The technical proficiency of the assistant and their collaboration efficiency with the primary surgeon directly impact the smoothness of surgery and patients' outcomes. With the expansion of robot-assisted surgical indications, the establishment of a standardized training system and the optimization of team collaboration models have become urgent challenges to address. This article draws on the author's practical experience as an assistant in robot-assisted gastric cancer surgeries, conducting an in-depth analysis of the responsibilities and operational skills of surgical assistants in robot-assisted procedures. The aim is to develop a relatively comprehensive set of operational guidelines for surgical assistants in robot-assisted radical gastrectomy, providing valuable references for enhancing the overall efficiency of surgical teams and improving surgical outcomes.

As an important support for hospital operations,hospital logistic maintenance services suffer from pain points such as low efficiency and passive maintenance.The fundamental reason is the lack of a closed-loop mechanism.Based on the closed-loop theory and combined with mathematical modeling,this paper constructs a quality control system for logistic mainte-nance services and proposes a four-stage management process:In the planning stage,optimization goals and constraints are clari-fied.In the design stage,a comprehensive optimization model is established to minimize response time deviation and total mainte-nance costs while maximizing the one-time repair rate.In the execution stage,a maintenance task allocation matrix is generated based on the model solution to optimize resource scheduling.In the inspection stage,RTD,FFR,and QMS are introduced to quantitatively evaluate service performance.In the improvement stage,problem feedback is addressed,and model parameters are adjusted to form a closed loop.Hospital A is used as a practical case study,and the application effect of the quality control sys-tem is verified through analysis of its maintenance data.The quality control system has significant effects on optimizing the re-sponse efficiency,stability,and resource utilization of logistic maintenance services,providing a practical reference for other medical institutions.