Objective To investigate the effect of dexmedetomidine ( Dex) combined with ropivacaine in brachial plexus block ( BPB) on serum basic fibroblast growth factor ( bFGF) levels of upper limb fracture patients in the perioperative period. Methods 80 patients ( ASA gradeⅠ~Ⅱ) scheduled for selective upper extremity surgery were randomly divided into the dexmedetomidine combined with ropiva-caine group ( RD group) and the ropivacaine group ( R group) with 40 patients in each group. BPB was performed at the point of 2 cm below coracoid directed by nerve stimulator. Ropivacaine (200 mg) was diluted into 40 mL in group R and ropivacaine (200 mg) +1 μg/kg dexmedetomidine were diluted into 40 mL in group RD. Drew 5 mL blood at T0~T4 points respectively,and serum bFGF concentration were determined. Results Compared with group R,MAP and HR at T1~T3 points were significantly lower in group RD (P<0. 05). SpO2 in the two groups at each point had no statistical significance (P>0. 05). Compared with T0 points,bFGF concentration were increased in two groups at T1~T4 points (P<0. 05),and it was higher in group RD compared with group R (P<0. 05). Conclusion Dex combined bra-chial plexus block promote the secretion of bFGF more than simple brachial plexus block,which is conducive to fracture healing after opera-tion,but it should be cautious to apply for patients with bradyarrhythmia.

AIM: To investigate the relationship between human cholesteryl ester transfer protein CETP gene polymorphism and postoperative neurocognitive disorders (PND). METHODS: A total of 124 elderly patients over 65 years of age who underwent elective non-cardiac surgery were enrolled in the study while 25 healthy volunteers matching age and sex were recruited as the control group. Neuropsychological tests were performed 1 day before surgery, 7 days, and 3 months after surgery. PND was determined using the Z value method. The venous blood sample of the surgical patient was taken before the operation, followed by direct gene sequencing. Statistical methods were used to calculate the correlation between CETP gene polymorphism (rs5882) and PND. RESULTS: The incidence of PND was 29.3% and 18.2% at 7 days and 3 months after operation respectively. The A allele frequency of PND patients was significantly higher than that of non-PND patients 7 days and 3 months after surgery (65.52% vs. 41.43%, 34.48% vs. 58.57%, P=0.001), while the G allele frequency in PND group lower than that of non-PND (58.33% vs. 37.86%, 41.67% vs. 62.14%, P=0.004).AA genotype in PND patients was 34.48%, 38.89% at 7 days and 3 months after surgery respectively, significantly higher than 14.29%, 16.05% of non-PND (P=0.023, P=0.029). CONCLUSION: CETP rs5882 polymorphism is associated with PND and AA genotype may be a predisposing factor for postoperative PND in Chinese Han elderly patient.

Objective To investigate the regulating function of human gingival mesenchymal stem cell (GMSC) on the proliferation and differentiation of B cells and its underlying molecular mechanism. Methods GMSC were isolated and B cells were isolated from peripheral blood. GMSC or fibroblasts were co-cultured with B cells in vitro and assigned into the GMSC group and fibroblast group. The proliferation of B cells was detected in two groups. The expression of IgG1 and IgM in the cell supernatants was measured between two groups. The secretion of interleukin (IL)-6, Perforin, interferon (IFN)-γ and tumor necrosis factor (TNF)-α was compared between two groups. The expression levels ofIL-10 and transforming growth factor (TGF)-β in B cells were detected between two groups. The expression of PC-1 in B cells was measured in two groups. The signaling pathway involved with the regulating effect of GMSC on B cell function was investigated. The regulating effect of GMSC on the role of B cells in activating T cell function was assessed. Results Compared with the fibroblast group, the proliferation of B cells was significantly weakened in the GMSC group (P < 0.05). Co-culture of GMSC and B cells significantly inhibited the secretion of IgG1 and IgM from B cells and the secretion ofIL-6, Perforin, IFN-γ and TNF-α (all P < 0.05). Compared with the fibroblast group, the secretion of IL-10 and TGF-βwas significantly higher in the GMSC group (both P < 0.05). The expression level of PC-1 in the GMSC group was significantly down-regulated (P < 0.05). After adding ALK5, an inhibitor of TGF-β receptor, the inhibitory effect of GMSC upon B cells was significantly weakened (P < 0.05). Compared with the fibroblast group, the ability of B cells to activate and proliferate T cells was significantly attenuated in the GMSC group (P < 0.05). Conclusions GMSC can inhibit B cells and their mediated immune responses. The activation of B cells and other related functions can be suppressed through the TGF-β signaling pathway.

Background Workers in the cable manufacturing industry are exposed to high-speed machinery and equipment for a long time, coupled with heavy workload, which poses significant risks to their physical health. However, the issue of occupational injuries in this industry has not received enough attention yet. Objective To understand the incidence of occupational injury of workers in cable manufacturing industry and to analyze the influencing factors. Method A basic information questionnaire and an occupational injury questionnaire were developed to investigate the occupational injuries of 1 343 workers in a cable manufacturing enterprise in the past year, and a total of 1 225 valid questionnaires were recovered, with an effective rate of 91.2%. Descriptive statistics were used to characterize the causes, injury locations, injury types, and other characteristics of employees’ occupational injuries. Chi-square test was used to analyze the occupational injury status of groups with different demographic characteristics, occupational characteristics, lifestyles, and interpersonal relationships. Logistic regression was used to analyze the influencing factors of occupational injuries. Result The incidence of occupational injuries among workers in a cable manufacturing enterprise in the past year was 8.6%, which mainly happened in male workers (80.0%) and occurred from May to July in summer (45.7%). The main causes were mechanical injuries (32.4%) and object blows (27.6%). The main sources of damage were machinery and equipment (36.2%) as well as raw materials and products (15.2%). The main injuries were located in upper limbs (53.3%) and lower limbs (22.9%). The main types of injuries were fractures (33.3%) and abrasions/contusions/puncture wounds (19.0%). The results of univariate analysis showed that there were statistically significant variations in the incidence of occupational injuries by gender, overtime, pre-job training, years of service in current position, alcohol consumption, physical exercise per week, and co-worker relationship (P<0.05). The logistic regression model showed that workers who exercised less than twice a week, did not participate in pre-job training, worked overtime, and had fair/poor/very poor colleague relationship had a higher risk of occupational injury, while women had a lower risk of occupational injury. Conclusion The distribution of occupational injury population is mainly male, and the time distribution is mainly from May to July. Gender, physical exercise, pre-job training, overtime, and colleague relationship are the influencing factors of occupational injuries. We should strengthen pre-job training, arrange work hours reasonably, and create a good working atmosphere to reduce the occurrence of occupational injuries.

Background Social psychological factors have emerged as a key area of research in occupational injury prevention. Occupational stress, a significant component of social psychology, has garnered widespread attention due to its potential impact on occupational injury. Objective To analyze the factors influencing occupational stress among cable manufacturing workers and explore the relationship between occupational stress and occupational injury, and to provide scientific evidence for reducing occupational stress and injury. Methods A questionnaire on basic demographics, occupational injury, and occupational stress (Effort-Reward Imbalance, ERI) was used to investigate 1343 workers in a cable enterprise. Chi-square test was employed to analyze the distribution of occupational stress across different worker characteristics. Logistic regression was used to identify factors influencing occupational stress, and a decision tree model was applied to assess the impact of occupational stress on injury risk. Results A total of 1225 valid questionnaires were collected, yielding a response rate of 91.2%. The positive rate of occupational stress was 28.7%, while the incidence of occupational injury in the past year was 8.6%. The results of univariate analysis revealed that workers who had experienced occupational injuries had a higher positive rate of occupational stress compared to those without injuries (P<0.05), and there were significant differences in the distribution of occupational stress by genders, overtime work, shift work, daily working hours, fatigue levels, sleep duration, family relationships, and colleague relationships (P<0.05). The logistic regression results showed that individuals who worked shifts, had fair/poor/very colleague relationships, and frequently worked overtime had a higher risk of occupational stress (P<0.05). The final decision tree model confirmed that occupational stress was a risk factor for occupational injury. Additional factors influencing occupational injury included physical exercise, colleague relationships, pre-job training participation, and gender. Workers who exercised less than twice per week and experienced occupational stress had a significantly higher risk of injury (23.6%) compared to those without occupational stress (10.9%). Conclusion Shift work, colleague relationships, and overtime work are correlated with the positive rate of occupational stress among cable manufacturing workers. Implementing a reasonable work schedule and fostering a positive work environment are recommended. Reducing occupational stress may help lower the risk of occupational injuries in this industry.

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 elucidate the cytopathological characteristics,molecular subtypes,and clinical prognoses of metastatic breast car-cinoma with serosal effusions.Methods:Seventeen cases that included effusion cytology and clinical data were retrospectively analyzed.Two patients were diagnosed between April 2016 and September 2023 at the Suzhou Ninth Hospital Affiliated to Soochow University,and 15 patients were diagnosed at The First Affiliated Hospital of Soochow University.Cytopathological characteristics,molecular subtypes,and prognoses were analyzed.Results:The cytopathological features of metastatic breast carcinoma in serosal effusions were as follows:1)In-vasive ductal carcinoma:one cell type was relatively densely arranged in nests or colored spheres,which displayed an elevated nuclear/cyto-plasmic ratio,irregular nuclear membrane,and cytoplasmic mucin vacuoles.The other cell type was tiled,single scattered,and varied in size and shape,with enlarged nuclei and elevated nuclear/cytoplasmic ratio.2)Invasive lobular carcinoma:cells were scattered and uniform in size and shape.The nuclei had a relatively regular shape,but displayed an elevated nuclear-to-cytoplasmic ratio.Among the 17 breast can-cer cases,6 had transitioned in molecular subtyping,including 1 case from Luminal A to triple-negative type,1 case from Luminal B to hu-man epidermal growth factor receptor 2(HER-2)-overexpressing type,and 4 cases from Luminal B to triple-negative type.Conclusions:The cytopathological characteristics of serous effusion cells combined with immunocytochemical staining and fluorescence in situ hybridization(FISH)suggest that it is important to determine the origin and molecular typing of tumor cells.This provides an important basis for precise clinical treatment and prognosis.

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.

Electrode array misplacement is a rare complication of cochlear implant. This article reports an 11-year-old boy who was mistakenly implanted the cochlear electrode array into the superior semicircular canal during the initial cochlear implant. After the diagnosis was confirmed, he underwent a second cochlear implant and the electrode array were successfully implanted into the cochlea. This article conducted a systematic review of the literature on electrode array misplacement, and the causes of electrode array misplacement were analyzed from different implantation position.
Male ; Humans ; Child ; Electrodes, Implanted ; Reoperation ; Cochlea ; Cochlear Implantation ; Cochlear Implants/adverse effects* ; Semicircular Canals/surgery*