Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Background Diseases severely affect the efficiency of workers. Comorbidity refers to the coexistence of two or more chronic diseases or health problems in the same individual. Previous studies have primarily focused on occupational injuries caused by environmental exposures, while the analysis of the epidemiological characteristics of self-reported diseases and occupational injuries among manufacturing workers has been insufficient. Objective To analyze the distribution of self-reported diseases and occupational injuries among manufacturing workers, the strength of correlation between different diseases, and common disease combinations, and to preliminarily explore the relationship between self-reported diseases and occupational injuries. Methods A cross-sectional survey was conducted to investigate the occupational injuries of 2382 workers in 2 manufacturing enterprises over the past year, and 2355 questionnaires were valid after cleaning. The questionnaire included three parts: basic information, occupational injury occurrence, and disease prevalence. The self-reported diseases diagnosed by physicians included musculoskeletal diseases, cardiovascular diseases, respiratory diseases, mental health problems, neurological and sensory organ diseases, digestive organ diseases, reproductive and urinary organ diseases, skin diseases, tumors, endocrine and metabolic system diseases, blood diseases and birth defects, a total of 11 types. Log-binomial model was used to calculate the prevalence ratio (PR) value of the association between different diseases, and UpSet diagram was used to present the disease combination pattern. Results In total, 40.2% (946/2355) of the study participants reported at least one disease, while 8.6% (203/2355), 5.2% (122/2355), and 5.9% (140/2355) reported having two, three, and four or more diseases, respectively. A higher prevalence was observed for musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases, which accounted for 18.0% (423/2355), 13.8% (324/2355), 9.3% (218/2355), and 9.1% (214/2355), respectively. Workers with musculoskeletal disorders, cardiovascular diseases, or neurological and sensory organ diseases reported significantly higher incidence of occupational injuries compared with workers without the corresponding diseases (P<0.001, P=0.041, and P=0.006, respectively). Musculoskeletal diseases were strongly associated with comorbidities of neurological and sensory organ diseases (PR values were 1.86 and 1.98, respectively), and the other patters were musculoskeletal diseases and digestive organ diseases (PR and OR values were 1.57 and 2.35, respectively), and musculoskeletal diseases and cardiovascular diseases (PR and OR values were 1.46 and 2.22, respectively). The largest binomial comorbidity group involved musculoskeletal diseases and neurological and sensory organ diseases, accounting for 5.4% (25/465) of the comorbid workers. Conclusion Among the self-reported diseases of manufacturing workers, musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases are more common. Musculoskeletal diseases and neurological and sensory organ diseases are the most common in all comorbidities. Musculoskeletal diseases, cardiovascular diseases, and neurological and sensory organ diseases are associated with occupational injuries. In the prevention and control of occupational injuries, joint prevention strategies targeting multiple diseases should be strengthened.

[Objective] To analyze the loss rate of platelet donors and evaluate the strategies for establishing a platelet donor bank. [Methods] A total of 1 443 donors who joined the HLA and HPA gene donor bank for platelets in Henan Province from 2018 to 2020 were included in this study. Data on the total number of apheresis platelet donations, annual donation frequency, age at enrollment, donation habits (including the number of platelets donated per session and whether they had previously donated whole blood), and enrollment location were collected from the platelet donor information management system. Donor loss was determined based on the date of their last donation. The loss rates of different groups under various conditions were compared to assess the enrollment strategies. [Results] By the time the platelet bank was officially operational in 2022, 421 donors had been lost, resulting in an loss rate of 29% (421/1 443). By the end of 2023, the overall cumulative loss rate reached 52% (746/1 443). The loss rate was lower than the overall level in groups meeting any of the following conditions: total apheresis platelet donations exceeding 50, annual donation frequency of 10 or more, age at enrollment of 40 years or older, donation of more than a single therapeutic dose per session, or a history of whole blood donation two or more times. Additionally, loss rates varied across different enrollment locations, with higher enrollment numbers generally associated with higher loss rates. [Conclusion] Through a comprehensive analysis of donor loss, our center has adjusted its strategies for establishing the donor pool. These findings also provide valuable insights for other blood collection and supply institutions in building platelet donor banks.

ObjectiveTo investigate the therapeutic effect and mechanism of modified Chunzetang on bladder fibrosis and detrusor function in rats with neurogenic bladder urinary retention induced by spinal cord injury. MethodsIn this study， an improved Hassan Shaker spinal cord transection method was used to establish a model of neurogenic bladder urinary retention induced by spinal cord injury， and rats with a spinal cord injury behavior score of 0 were selected for follow-up experiments. The selected rats were randomly divided into a model group （normal saline gavage）， low-dose traditional Chinese medicine （TCM） group （gavage of 14.4 g·kg^-1 modified Chunzetang）， high-dose TCM group （gavage of 28.8 g·kg^-1 modified Chunzetang）， positive drug group ［intraperitoneal injection of 0.05 g·kg^-1 nuclear transcription factor-κB （NF-κB） inhibitor pyrrolidine dithiocarbamate （PDTC）］， and combination group （intraperitoneal injection of 0.05 g·kg^-1 PDTC + gavage of 28.8 g·kg^-1 modified Chunzetang）. The rats in these groups were administrated with corresponding drugs once a day for four weeks. The BL-420s biofunction acquisition system was used in the experiment to calculate the urodynamic indexes， and the isolated bladder was quickly weighed. The detrusor traction experiment was used to record the minimum bladder contraction tension and frequency in each group. The pathological morphology and tissue fibrosis of detrusor in each group observed by Hematoxycin-eosin （HE） staining and Masson staining were compared. The expression level of α-smooth muscle actin （α-SMA） was detected by immunohistochemistry. Western blot was used to detect the protein expression of NF-κB p65， nuclear transcription factor-κB suppressor protein α （IκBα）， transforming growth factor-β₁ （TGF-β₁）， type Ⅰ collagen （ColⅠ）， and type Ⅲ collagen （ColⅢ） in bladder tissue of rats in each group. Enzyme-linked immunosorbent assay （ELISA） was used to detect the changes in serum levels of IL-6， IL-1β， and TNF-α. ResultsCompared with that in the sham operation group， the pressure at the urinary leakage point in the model group decreased （P<0.01）， and the bladder mass， bladder contractile tension， maximum bladder capacity， and bladder compliance increased （P<0.05，P<0.01）. HE staining showed that the arrangement of bladder epithelial cells was disordered， and the pathological manifestations such as mucosa and myometria neutrophil infiltration were obvious. The lamina propria structure was destroyed， and the muscle fiber arrangement was disordered. The interstitial widening and tissue edema were obvious. Masson staining showed that the bladder wall of the model group had more collagen fiber deposition， and the degree of detrusor fibrosis was more severe. The content of detrusor in the visual field was reduced. At the same time， the protein expressions of NF-κB p65， TGF-β₁， IκBα， ColⅠ， and ColⅢ in bladder tissue of rats in the model group were significantly increased （P<0.01）， and the serum levels of IL-6， IL-1β， and TNF-α were significantly increased （P<0.05）. Compared with that in the model group， the pressure at the urinary leakage point in the modified Chunzetang and positive drug groups was increased （P<0.05）， and the wet bladder weight， minimum bladder contractile tension， maximum bladder capacity， and bladder compliance were restored （P<0.05， P<0.01）. HE and Masson showed that the bladder epithelial cells were relatively neatly arranged， and the structure of the bladder lamina propria was relatively stable. The detrusor bundles were arranged in an orderly manner， and the interstitium was narrow. The degree of tissue edema was relatively low， and the degree of bladder detrusor fibrosis in the modified Chunzetang and positive drug groups was reduced， while the degree of bladder detrusor fibrosis in the positive drug group and combination groups was not obvious. The results of Western blot showed that the expression of NF-κB p65， IκBα， TGF-β₁， ColⅠ， and ColⅢ in bladder tissue， as well as the serum levels of IL-6， IL-1β， and TNF-α in modified Chunzetang and positive drug groups were significantly lower， and the expression of bladder tissue-related proteins and the serum levels of IL-6， IL-1β， and TNF-α in the TCM groups decreased significantly with the increase in dose （P<0.05）. The results of immunohistochemistry suggested that modified Chunzetang could fully affect the expression of α-SMA in bladder tissue. ConclusionModified Chunzetang can inhibit collagen deposition in bladder tissue of rats with urinary retention induced by spinal cord injury， delay the occurrence and development of bladder fibrosis， and protect the normal contractile function of bladder detrusor， and its mechanism may be related to inhibiting the NF-κB/TGF-β₁ signaling pathway， reducing the production of NF-κB p65， IκBα， TGF-β₁， ColⅠ， ColⅢ， and other related proteins， and protecting the muscle strength of detrusor.

AIM: To investigate the effects of Conbercept on various optical coherence tomography(OCT)biomarkers in patients with retinal vein occlusion-related macular edema(RVO-ME), and to analyze the correlation of these biomarker changes with visual prognosis.METHODS: Retrospective study. A total of 57 patients(57 eyes)with RVO-ME, including 25 patients(25 eyes)with central retinal vein occlusion(CRVO)and 32 patients(32 eyes)with branch retinal vein occlusion(BRVO), were enrolled in this study. All the patients received intravitreal injection of conbercept once a month, three times in total. The preoperative and postoperative best-corrected visual acuity(BCVA), and changes in OCT biomarkers, including central macular thickness(CMT), the length of disorganization of the retinal inner layers(DRIL), the number of hyperreflective dots(HRD), the area of intraretinal fluid(IRF), the area of subretinal fluid(SRF), and the length of ellipsoid zone(EZ)disruption were compared. Furthermore, the relationship of these changes with BCVA was analyzed.RESULTS:Compared with the baseline, at 3 mo post-treatment, BCVA(LogMAR)was improved, CMT was decreased, the length of DRIL was shortened, the number of HRD was reduced, the area of IRF was decreased, the area of SRF was reduced, and the length of EZ disruption was shortened(all P<0.05). Spearman correlation analysis showed that there was no correlation between the changes in CMT, the length of DRIL, the number of HRD, the area of IRF, the area of SRF and the change in BCVA before and after treatment(P>0.05). However, the change in the length of EZ disruption was positively correlated with the change in BCVA(rs=0.34, P=0.011), and the R2 value of the fitting curve between the change in the length of EZ disruption and the change in BCVA was 0.113(P=0.011). When comparing the pre- and post-treatment changes in BCVA, the length of DRIL, the number of HRD, the area of IRF, the area of SRF, and the length of EZ disruption between patients in the CRVO group and BRVO group, no significant differences were observed(all P>0.05). In contrast, a significant difference was found in the change in CMT between the two groups(P=0.002).CONCLUSION:Conbercept effectively improves multiple OCT biomarkers in patients with RVO-ME. Repair of EZ disruption is a key driver of visual recovery, and its stability may serve as a novel indicator for personalized decision-making in anti-vascular endothelial growth factor therapy.

Objective:To investigate the influence of changes in the cognitive load of anesthesia residents on the teaching effectiveness of high-fidelity scenario simulation.Methods:Eighty-seven anesthesia residents in a grade-A tertiary hospital from February to November 2022 were divided into groups A, B, and C according to the random number method. Three cases were selected from the anesthesia crisis resource teaching case library for high-fidelity simulation training for the three groups, respectively, using the crossover design to control the order of the cases. Each round of training consisted of pre-training instruction, simulation teaching, and post-training summarization and analysis. After three rounds of simulation teaching, cognitive load, anxiety status, test scores, and non-technical skills were evaluated for all the study participants. SPSS 20.0 was used to perform analysis of variance with repeated measures and Pearson's correlation analysis.Results:All the three groups showed significantly higher cognitive load and anxiety scores during the first-round simulation training than during the second-round and third-round simulation trianing. The test scores were significantly lower in the first round [(87.07±5.66), (88.38±5.41), (89.07±6.17)] than in the second round [(95.69±2.29), (96.10±2.08), (96.07±2.60)] and the third round [(96.34±1.45), (96.38±1.50), (96.17±1.73); all P<0.05]. The non-technical skill scores were also significantly lower in the first round [(37.24±7.58), (38.69±7.27), (39.24±8.74)] than in the second round [(46.17±5.55), (47.07±5.59), (47.59±6.74)] and the third round [(47.17±5.21), (48.48±5.38), (48.24±6.83); all P<0.05]. For simulations with the same cases, the trainees showed significantly higher cognitive load and anxiety scores and significantly lower test scores and non-technical skill scores in the first round than in the second and third rounds ( P<0.05). Conclusions:Anesthesia residents have higher levels of cognitive load and anxiety in the first scenario simulation training, which can reduce learning outcomes, and repeated simulation training can reduce trainees' cognitive load and anxiety.

Blood brain barrier (BBB) injury is the main pathological manifestation of many neurological diseases. Glycocalyx is the gel layer covering the lumen side of vascular endothelial cells, which plays an important role in regulating BBB function. However, glycocalyx is very fragile and easily damaged in various neurological diseases, leading to BBB destruction. This article focuses on the potential role of glycocalyx in cerebrovascular disease, the possible mechanisms related to glycocalyx and BBB injury, and explores the potential therapeutic strategies for protecting and restoring endothelial glycocalyx.

Aim To explore the effect of targeted inhi-bition of co-signaling molecule B7-H3 on the growth,migration,and angiogenesis ability of human umbilical vein endothelial cells(HUVECs).Methods Small interference RNA was used to knock down HUVECs B7-H3 molecules.CCK-8 test was used to detect cell proliferation at 24 h,48 h and 72 h.Transwell test was then used to detect 24 h cell migration,and three-dimensional cell culture was used to observe cell angio-genesis.Results Compared with the negative control group(siRNA-Control),siRNA-720,siRNA-1707 and siRNA-1690 had different inhibitory effects on the expression of B7-H3.B7-H3 inhibition of siRNA-1690 was significantly higher than that of siRNA-720 and siRNA-1707,and siRNA-1690 sequence was chosen for follow-up experiment.The results of CCK-8 cell vi-ability assay showed that the proliferation ability of HU-VECs decreased by 24％,22％(P＞0.05,compared with 24 h)and 15％(P＜0.05,compared with 48 h)respectively at 24 h,48 h and 72 h after B7-H3 knockout.The migration ability of B7-H3 for 24 h was significantly lower than that of siRNA-Control group(P＜0.01).The results of three-dimensional cell cul-ture showed that the angiogenic ability of HUVECs de-creased significantly after si-B7-H3 knockdown of B7-H3 gene(P＜0.01).Conclusion Targeting B7-H3 inhibits the growth,migration,and angiogenesis of hu-man umbilical vein endothelial cells.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8％(62 219/261 893),and gram-negative bacteria 76.2％(199 674/261 893).The most common species were E.coli(46.7％),E.faecium(10.4％),K.pneumoniae(9.8％),E.faecalis(8.7％),P.mirabilis(3.5％),P.aeruginosa(3.4％),SS.agalactiae(2.6％),and E.cloacae(2.1％).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2％,52.8％and 37.0％,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7％,18.5％,16.4％,and 40.3％,respectively.Lower than 10％of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90％of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was＜2％.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.