Background Lead (Pb) is a highly toxic heavy metal that accumulates in the body, potentially leading to multi-systemic impairment. Compared with traditional statistical methods, machine learning techniques offer unique advantages, opening new avenues for occupational health risk assessment and the exploratory analysis of complex associations. Objective To examine the association between occupational lead exposure and multiple health indicators and to identify key risk factors for lead toxicity. Methods A cross-sectional study was conducted, integrating occupational hygiene investigation results from 16 lead-acid battery enterprises in Jiangsu Province with occupational health examination data from 1914 lead-exposed workers. Inter-group differences were analyzed using the χ² test or Fisher's exact test. Binary logistic regression and machine learning algorithms [CatBoost, Naive Bayes model (NBM), and random forest (RF)] were employed to evaluate the association between blood lead (PbB), urine lead (PbU), and health indicators including blood pressure (BP), red blood cell count (RBC), and alanine aminotransferase (ALT). Results The prevalence of abnormal PbB and PbU were 14.52% and 9.35%, respectively. The risks of abnormal BP, RBC, and ALT were significantly increased in the population with high lead levels (P<0.05). PbB abnormalities were closely associated with gender, environmental lead concentration, wearing masks, smoking, and alcohol consumption (P<0.05). Regarding occupational hazards, workers exposed to lead dust had a 1.98-fold risk of PbU abnormality compared to those exposed to lead fumes. The plate coating and acid leaching process posed the highest risk for both PbB (OR=8.81) and PbU (OR=5.46) abnormalities compared with assembly process. Furthermore, the risks of PbB and PbU abnormalities were significantly elevated among workers with abnormal BP, RBC or ALT (P<0.05). Among the models, CatBoost performed best in predicting RBC abnormality (accuracy: 95.8%; precision: 44.9%; F1 score: 0.952; AUC: 0.981). Feature importance analysis identified PbB and PbU as the core factors affecting abnormal RBC and ALT, while RBC and ALT abnormalities as key features for predicting the risk of PbB and PbU abnormalities. Conclusion By integrating traditional statistical methods with machine learning, this study reveals a complex bidirectional association between occupational lead exposure and multiple health indicators, and identifies gender, job category, and environmental Pb concentration as the key factors influencing PbB abnormalities. These findings provide a scientific foundation for the implementation of precision occupational health management models.

Background Lead (Pb) is a highly toxic heavy metal that accumulates in the body, potentially leading to multi-systemic impairment. Compared with traditional statistical methods, machine learning techniques offer unique advantages, opening new avenues for occupational health risk assessment and the exploratory analysis of complex associations. Objective To examine the association between occupational lead exposure and multiple health indicators and to identify key risk factors for lead toxicity. Methods A cross-sectional study was conducted, integrating occupational hygiene investigation results from 16 lead-acid battery enterprises in Jiangsu Province with occupational health examination data from 1914 lead-exposed workers. Inter-group differences were analyzed using the χ² test or Fisher's exact test. Binary logistic regression and machine learning algorithms [CatBoost, Naive Bayes model (NBM), and random forest (RF)] were employed to evaluate the association between blood lead (PbB), urine lead (PbU), and health indicators including blood pressure (BP), red blood cell count (RBC), and alanine aminotransferase (ALT). Results The prevalence of abnormal PbB and PbU were 14.52% and 9.35%, respectively. The risks of abnormal BP, RBC, and ALT were significantly increased in the population with high lead levels (P<0.05). PbB abnormalities were closely associated with gender, environmental lead concentration, wearing masks, smoking, and alcohol consumption (P<0.05). Regarding occupational hazards, workers exposed to lead dust had a 1.98-fold risk of PbU abnormality compared to those exposed to lead fumes. The plate coating and acid leaching process posed the highest risk for both PbB (OR=8.81) and PbU (OR=5.46) abnormalities compared with assembly process. Furthermore, the risks of PbB and PbU abnormalities were significantly elevated among workers with abnormal BP, RBC or ALT (P<0.05). Among the models, CatBoost performed best in predicting RBC abnormality (accuracy: 95.8%; precision: 44.9%; F1 score: 0.952; AUC: 0.981). Feature importance analysis identified PbB and PbU as the core factors affecting abnormal RBC and ALT, while RBC and ALT abnormalities as key features for predicting the risk of PbB and PbU abnormalities. Conclusion By integrating traditional statistical methods with machine learning, this study reveals a complex bidirectional association between occupational lead exposure and multiple health indicators, and identifies gender, job category, and environmental Pb concentration as the key factors influencing PbB abnormalities. These findings provide a scientific foundation for the implementation of precision occupational health management models.

Objective To analyze the research status,hotspots,and trends of wearable devices in nursing applications both domestically and internationally.Methods Using China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,and Embase core databases as data sources,VOSviewer was used to visualize and analyze the publication time,keywords,and other relevant literature.Results Total of 428 articles were included,including 196 Chinese articles and 232 English articles.The overall publication volume showed an upward trend.Domestic research focuses on chronic diseases,artificial intelligence,and nursing,with the main research subjects being the elderly;Foreign research focuses on smart devices,self-monitoring,and quality of life,with the main research subjects being adults.Conclusion Currently,the number of publications on the application of wearable devices in nursing is relatively small,but the overall research heat is on the rise,mainly used for chronic diseases and self-monitoring.In the future,the application scope of wearable devices should be expanded and their potential value should be explored to promote the innovation and progress of nursing models.

OBJECTIVE To explore the application of multiple hospital branches management mode in control of risk of hospital-acqueird infections in a general hospital so as to move forward the infection control threshold.METHODS The risk management closed loop,known as the infection index monitoring-risk assessment-risk re-sponse-effect evaluation-infection index monitoring,was adopted by People's Hospital of Ningxia Hui Autono-mous Region from Jan.to Jun.2024.The risk of infection at different levels of hospital zones,disciplines,clinical departments and risk indices was evaluated by risk matrix method.The correlation between the risk indices of clin-ical department and the risk scores was observed,and the dynamic monitoring was carried out for the change of risk of infection in the clinical departments.RESULTS The risk score was higher in the headquarter and Ningnan Branch than in the Xixia branch;the interquartile range(IQR)value from high to low was as follows:Xixia branch,hospital headquarter,Ningnan branch.The intensive care unit(ICU),nerve center and radiotherapy de-partment were the disciplines at extremely high risk of infection.The ICU,cardiac vascular surgery department and gastroenterology department of the hospital headquarters,the ICU,neurosurgery department and neurology department of Ningnan branch and the ICU and cardiac vascular surgery department of Xixia branch were the de-partments at extremely high risk of infection.The etiological submission rate before drug therapy,implementation of prevention measures for multidrug-resistant organisms(MDROs),cleaning and disinfection and missing report of hospital-acqueird infection cases were the major supervision indices.The absolute values of Spearman related co-efficient between clinical department risk scores and 4 indices-including the isolation rate of MDROs and the inci-dence of hospital-acqueird infection was greater than 0.5.CONCLUSION The risk management closed loop that is applied in the 'one hospital and multiple branches' medical institution may facilitate the dynamic monitoring,as-sessment and intervention the high-risk hospital branches,disciplines,departments and indices,and boost the ca-pability of risk management of infections in medical institutions.

Objective To explore the protective effects of pretreatment with the Mongolian medicine Jiruhen Gurigumu-7(JG-7)and Guangzao Sanwei Tang(GZ-3)on myocardial ischemia-reperfusion injury(MIRI)in mice.Methods 60 male C57BL/6J mice were randomly divided into sham operation(Sham)group,model(Model)group,compound danshen drip pill(CDDP)positive control group,JG-7 group,GZ-3 group,and 12 mice in each group to establish the MIRI model,and the H9C2 cells were randomly divided into Control(normoxic)group,H/R(hypoxia 6 h reoxygenation 14 h)group,H/R+JG-7 group,H/R+GZ-3 group.The mice in each group were tested for cardiac function indexes after 30 min of ischemia,24 h and 7 d of reperfusion,TTC staining to detect infarct area after 24 h of MIRI,HE staining to detect myocardial tissue structure and cellular morphology after 24 h of MIRI,TUNEL apoptosis kit to detect apoptosis of myocardial cells after 24 h of MIRI,Masson staining to detect myocardial fibrosis after 7 d of MIRI.Blood was taken from the abdominal aorta,serum was separated,and the indexes after oxidative stress of MIRI were detected in each group of mice,and the survival rate of H9C2 cells after H/R was detected in each group by CCK-8 method.Results The results of TTC showed that JG-7 and GZ-3 reduced the infarct area after 24 h of MIRI in mice.ELISA and kit assays proved that JG-7 and GZ-3 reduced creatine phosphokinase isoenzyme(Creatinekinase-MB,CK-MB),Lactic dehydrogenase(LDH),malondialdehyde(MDA)levels,and increased superoxide dismutase(SOD)levels.HE staining showed that JG-7 and GZ-3 improved myocardial pathology after MIRI 24 h.The results of TUNEL apoptosis assay showed that JG-7 and GZ-3 improved apoptosis in myocardial tissues 24 h after MIRI.Masson staining results showed that JG-7 and GZ-3 could reduce the area of myocardial tissue fibrosis after MIRI 7 d.CCK-8 assay results showed that JG-7 and GZ-3 could improve the cell survival rate after H/R in H9C2 cells.Conclusion Pre-treatment with Mongolian medicine Jiruhen Gurigumu-7 and Guangzao Sanwei Tang can reduce the damage caused after ischemia-reperfusion(I/R),decrease the area of myocardial infarction and fibrosis after I/R in mice,and protect the heart.

The incidence of cardiovascular diseases(CVD)has been increasing year by year,with atherosclerosis(As)being the leading cause in terms of both incidnce and mortality for CVD in China.Traditional theories suggest that the pathogenesis of atherosclerotic CVD is associated with endothelial dysfunction and inflammatory responses caused by the accumulation of oxidized low density lipoprotein(ox-LDL).However,recent studies have demonstrated that perivascular adipose tissue(PVAT)can positively influence the occurrence and development of CVD through the vascular adventitia pathway.This article reviews the connection between PVAT and CVD,effective pathways for promoting CVD improve-ment,and the regulatory role of AMP-activated protein kinase(AMPK)on PVAT,aiming to explore effective intervention targets for CVD.

Objective:To investigate the differences in protein profile expression in serum samples from children with corona virus disease 2019（COVID-19）related encephalopathy and to explore the underlying mechanisms.Methods:From December 1,2022 to January 31,2023,28 children with COVID-19 who were admitted to the Department of Pediatric Intensive Medicine at Shandong Provincial Hospital Affiliated to Shandong First Medical University were collected,including 21 patients with encephalopathy(COVID-19 with encephalopathy group) and seven patients without encephalopathy(COVID-19 without encephalopathy group).Three children from each group were selected for serum proteomic analysis using tandem mass spectrometry labeling proteomics technology.Proteins were considered significantly different if the fold change was >1.2 or <0.8，with P<0.05.Bioinformatics analysis，including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes Pathway Enrichment were performed on differentially expressed proteins.Protein-protein interaction networks were analyzed using the STRING database.Selected proteins were further validated by enzyme-linked immunosorbert assay. Results:A total of 41 differentially expressed proteins were identified between the two groups.Among these，14 proteins were upregulated and 27 proteins were downregulated in COVID-19 patients with encephalopathy compared to those without encephalopathy.Bioinformatics analysis revealed that these proteins were primarily enriched in critical signaling pathways，including complement and coagulation regulation，neutrophil degranulation and activation，and platelet degranulation.Enzyme-linked immunosorbert assay validation confirmed significant differences in key coagulation-regulating proteins(von willebrand factor upregulated，serpin family F member 2 downregulated in COVID-19 patients with encephalopatly）between the two groups.Conclusion:Coagulation dysfunction may play a role in the development of COVID-19 associated encephalopathy in children，providing valuable insights for future research.

Objective To investigate the efficacy of surface electromyography biofeedback combined with respiratory training on post-stroke dysphagia and its impacts on serum neuron specific enolase(NSE)and insulin-like growth factor 1(IGF-1)in patients.Methods Totally 120 patients with post-stroke dysphagia in our hospital were stochastically assigned into the control group and the combined group,with 60 patients in each group.Both groups were given conventional treatment first,while the control group received respiratory training treatment.The combined group received surface electromyography biofeedback treatment on the top of the control group.The efficacy,serum NSE,central nervous system specific protein(S100β),IGF-1,functional oral intake scale(FOIS)score,standard swallowing function assessment scale(SSA)score,respiratory function,pharyngeal contraction rate and duration of pharyngeal contraction were compared between the two groups.Results After treatment,the total effective rate was higher in the combined group(x2=4.876,P＜0.05).Compared with before treatment,NSE,S100β,SSA score and pharyngeal contraction rate decreased after treatment in both groups,and those were even lower in the combined group(t=5.193,9.000,8.976,10.614,P＜0.05).Compared with before treatment,IGF-1,FOIS score,force vital capacity(FVC),forced expiratory volume in one second(FEV1),peak expiratory flow rate(PEF)and duration of pharyngeal contraction increased after treatment in both groups,with even higher levels in the combined group(t=4.212,6.220,3.765,6.935,5.020,4.249,P＜0.05).Conclusion Surface electromyography biofeedback combined with respiratory training can improve neuronal damage in patients with dysphagia,enhance swallowing efficiency,reduce serum NSE,S100β levels and pharyngeal retention time,with significant curative effect.

Objective:To understand the burden of chronic kidney disease (CKD) and its risk factors in Fujian Province during 1990-2019.Methods:Based on the Global Burden of Disease Study 2019, the incidence rate, mortality rate and disability-adjusted life years (DALYs) of CKD in Fujian from 1990 to 2019 were calculated. An age-period-cohort model was used to estimate the effects of age, period, and cohort on age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and age-standardized DALY rate (ASDR) of CKD. Comparative risk assessment theory was used to calculate the potential attributable DALYs due to risk factors.Results:In 2019, the ASIR of CKD in Fujian exceeded the national average. The ASIR of CKD showed an increasing trend from 1990 to 2019, but the ASMR and ASDR of CKD exhibited decreasing trends during the same period. In 2019, the ASIR of CKD was higher in women than in men, while the ASMR and ASDR were higher in men than in women. Age-period-cohort analysis indicated that ASIR, ASMR, and ASDR of CKD increased with age. The period effect for ASIR decreased first before increase, while the period effect for ASMR and ASDR displayed fluctuating trends. The cohort effect showed an upward trajectory for ASIR, but a stable status before downward trajectories for ASMR and ASDR. Compared with 1990, except the increase in the ASDR of CKD attributed to high BMI and high temperatures, the ASDR of CKD attributed to other risk factors all showed decreases in 2019. However, the ASDR attributed to high sodium intake remained higher compared with the global average.Conclusion:The burden of CKD remains heavy in Fujian, and it is necessary to reduce the attributable risk factors, such as high sodium intake and high BMI, to address this problem.

Objective To investigate the efficacy of surface electromyography biofeedback combined with respiratory training on post-stroke dysphagia and its impacts on serum neuron specific enolase(NSE)and insulin-like growth factor 1(IGF-1)in patients.Methods Totally 120 patients with post-stroke dysphagia in our hospital were stochastically assigned into the control group and the combined group,with 60 patients in each group.Both groups were given conventional treatment first,while the control group received respiratory training treatment.The combined group received surface electromyography biofeedback treatment on the top of the control group.The efficacy,serum NSE,central nervous system specific protein(S100β),IGF-1,functional oral intake scale(FOIS)score,standard swallowing function assessment scale(SSA)score,respiratory function,pharyngeal contraction rate and duration of pharyngeal contraction were compared between the two groups.Results After treatment,the total effective rate was higher in the combined group(x2=4.876,P＜0.05).Compared with before treatment,NSE,S100β,SSA score and pharyngeal contraction rate decreased after treatment in both groups,and those were even lower in the combined group(t=5.193,9.000,8.976,10.614,P＜0.05).Compared with before treatment,IGF-1,FOIS score,force vital capacity(FVC),forced expiratory volume in one second(FEV1),peak expiratory flow rate(PEF)and duration of pharyngeal contraction increased after treatment in both groups,with even higher levels in the combined group(t=4.212,6.220,3.765,6.935,5.020,4.249,P＜0.05).Conclusion Surface electromyography biofeedback combined with respiratory training can improve neuronal damage in patients with dysphagia,enhance swallowing efficiency,reduce serum NSE,S100β levels and pharyngeal retention time,with significant curative effect.