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 establish the therapeutic effect prediction model of platelet transfusion in hematological patients,and receiver operating characteristic(ROC)curve and clinical cases are used to evaluate the clinical application value of the predic-tion model.Methods A total of 485 patients with hematological diseases who received platelet transfusion therapy in Kailuan General Hospital from January 2020 to December 2023 were selected,corrected count increment(CCI)was used to divide the patients into platelet transfusion effective group(n=340)and transfusion ineffective group(n=145).Multivariate Logistic regres-sion analysis was used to establish the prediction model of platelet infusion efficacy,and ROC curve was used to evaluate the application effect of the forcasting model.109 clinical cases were used to verify the practical application effect of the model,and the sensitivity,specificity and accuracy were calculated.Results Among 485 patients with hematological diseases,the incidence of ineffective platelet transfusion was 29.90%(145/485).Compated with the effective group,the ineffective group had more previous platelet transfusions was higher,and the difference was statistically significant(t=-4.435,P<0.05).In the ineffective group,there were more cases of hyperplenism,aplastic anemia and lymphoma,higher infection rate and higher positive rate of platelet antibody,and the differences were statistically significant(χ2=6.301～37.522,all P<0.05).Multivariate Logistic regres-sion analysis found that previous platelet infusion times,infection,leukemia,aplastic anemia and platelet antibodies were risk factors for ineffective platelet transfusion in patients with hematological diseases(Wald χ2=5.224～21.548,all P<0.05).Based on these risk factors,platelet infusion effect prediction models 1 and 2 were constructed.ROC curve was used to evaluate the application effect of the prediction model.The area under the curve(AUC),cut-offpoint,sensitivity and specificity of model 1 were 0.884,0.042,82.35%,88.89%.The AUC,cut-offpoint,corresponding sensitivity and specificity of prediction model 2 were 0.910,59.784,81.18%,94.44%,respectively.The Z values of model 1 and model 2 were 12.159 and 13.151,respectively.The prediction effect of model 2 was better than that of model 1.The actual application results showed that the sensitivity,specificity and accuracy of prediction model 1,2 were 85.71%,92.05%,90.89%and 90.48%,93.18%,92.66%,respectively.Conclusion The ineffective rate of platelet transfusion in hematological patients is relatively high.The prediction models 1 and 2 for platelet transfusion effectiveness have good results in predicting ineffective platelet transfusion,and prediction model 2 is better than pre-diction model 1,which can provide reliable basis for hematological patients on accurate platelet transfusion.

Objective The Hybrid Education Competence Instrument(HybridEduCom)was sinicized,and its reliability and validity were tested.Methods The translation,cultural adjustment and pre-investigation of HybridEduCom were followed by the Brislin translation model.The reliability and validity of the HybridEduCom was tested by surveying 553 educators in medical and nursing related fields by convenience sampling from March to April 2024.Results The Chinese version of HybridEduCom consisted of 46 items in 5 dimensions:planning and resourcing competence,technology competence,interaction competence,digital pedagogy competence,and ethical competence in the hybrid education.The confirmatory factor analysis resulted in the second-order five-factor model,with the chi-square and degree of freedom ratio being 1.274,approximate root mean square error being 0.022,goodness of fit index being 0.913,and standard fit index(NFI)being 0.934,and Tucker-Lewis and comparative fit index being 0.985.All main evaluation indexes were within the acceptable range of the judgment criteria.The item-content validity index was 0.833-1.000,and the scale-content validity index was 0.968.The Cronbach's α for the whole scale was 0.982,while varied from 0.892 to 0.936 for each dimension.The test-retest reliability of the scale was 0.978.Conclusion The reliability and validity of the Chinese version of HybridEduCom were satisfactory,and it can serve as a valid assessment instrument for the implementation of hybrid education competence of Chinese higher medical and nursing educators.

Objective To investigate the dynamic changes in pulmonary function after allogeneic hematopoietic stem cell transplantation(HSCT)in children and compare pulmonary function differences between children with benign and malignant hematological diseases.Methods A total of 233 children who underwent allogeneic HSCT in the First Affiliated Hospital of Shandong First Medical University,Shandong Provincial Qianfoshan Hospital from June 2015 to December 2023 were selected as subjects,according to the original disease,children were divided into benign group(n=142)and malignant group(n=91).Pulmonary function examination data were collected pre-transplant and at 3,6,9,12,18 and 24 months post-transplant,dynamic trajectories of pulmonary function parameters were analyzed.Results Forced expiratory volume in one second(FEV1)recovered after reaching its lowest in benign group in 6th month post-transplantation,while in malignant group in 9th month(P＜0.001).FEV1/forced vital capacity(FVC)reached its lowest value in 18th month and then recovered(P＜0.001).FEV1,FEV1/FVC,total lung capacity(TLC)and carbon monoxide diffusing capacity(DLCO)were significantly lower in malignant group than those in benign group at most time points(P＜0.05).Reduced DLCO was most common abnormality.Kaplan-Meier analysis showed that those with negative slopes of FEV1,FEV1/FVC,and FVC changes in first 3 months post-transplantation were more likely develop to restrictive ventilatory disorder,and those with negative FEV1/FVC slopes had a significantly higher risk of obstructive ventilatory disorder(P＜0.05).Conlusion Pulmonary dysfunction is prevalent in children after allogeneic HSCT.Pulmonary function parameters of children in malignant group were significantly lower than those in benign group and children recovery was slower.Patients with negative slopes of pulmonary function changes in the first 3 months after post-transplantation are more likely develop to pulmonary dysfunction.

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.

Objective To establish the therapeutic effect prediction model of platelet transfusion in hematological patients,and receiver operating characteristic(ROC)curve and clinical cases are used to evaluate the clinical application value of the predic-tion model.Methods A total of 485 patients with hematological diseases who received platelet transfusion therapy in Kailuan General Hospital from January 2020 to December 2023 were selected,corrected count increment(CCI)was used to divide the patients into platelet transfusion effective group(n=340)and transfusion ineffective group(n=145).Multivariate Logistic regres-sion analysis was used to establish the prediction model of platelet infusion efficacy,and ROC curve was used to evaluate the application effect of the forcasting model.109 clinical cases were used to verify the practical application effect of the model,and the sensitivity,specificity and accuracy were calculated.Results Among 485 patients with hematological diseases,the incidence of ineffective platelet transfusion was 29.90%(145/485).Compated with the effective group,the ineffective group had more previous platelet transfusions was higher,and the difference was statistically significant(t=-4.435,P<0.05).In the ineffective group,there were more cases of hyperplenism,aplastic anemia and lymphoma,higher infection rate and higher positive rate of platelet antibody,and the differences were statistically significant(χ2=6.301～37.522,all P<0.05).Multivariate Logistic regres-sion analysis found that previous platelet infusion times,infection,leukemia,aplastic anemia and platelet antibodies were risk factors for ineffective platelet transfusion in patients with hematological diseases(Wald χ2=5.224～21.548,all P<0.05).Based on these risk factors,platelet infusion effect prediction models 1 and 2 were constructed.ROC curve was used to evaluate the application effect of the prediction model.The area under the curve(AUC),cut-offpoint,sensitivity and specificity of model 1 were 0.884,0.042,82.35%,88.89%.The AUC,cut-offpoint,corresponding sensitivity and specificity of prediction model 2 were 0.910,59.784,81.18%,94.44%,respectively.The Z values of model 1 and model 2 were 12.159 and 13.151,respectively.The prediction effect of model 2 was better than that of model 1.The actual application results showed that the sensitivity,specificity and accuracy of prediction model 1,2 were 85.71%,92.05%,90.89%and 90.48%,93.18%,92.66%,respectively.Conclusion The ineffective rate of platelet transfusion in hematological patients is relatively high.The prediction models 1 and 2 for platelet transfusion effectiveness have good results in predicting ineffective platelet transfusion,and prediction model 2 is better than pre-diction model 1,which can provide reliable basis for hematological patients on accurate platelet transfusion.

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.