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.

Objective To investigate the correlation between lipid-related index and diabetic kidney disease(DKD)by observing the expression levels of lipid-related index in different stages of DKD.Methods A total of 265 patients with type 2 diabetes mellitus(T2DM)were divided into the T2DM group(n=106)and the DKD group(n=159).According to estimated glomerular filtration rate(eGFR)level,the DKD group was sub-divided into the DKD-G2 group(n=59),the DKD-G3 group(n=59)and the DKD-G4 group(n=41).Data of triglycerides(TG),total cholesterol(TC),high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C),apolipoprotein A(Apo A),Apo B and urinary albumin/urinary creatinine ratio(UACR)were collected.Gomerular filtration rate(eGFR),triglyceride-glucose index(TyG),visceral adiposity index(VAI)and atherogenic index of plasma(AIP)were calculated.The differences of TyG,VAI and AIP between different groups and their correlation with eGFR and UACR were analyzed.Multiple linear regression analysis of DKD renal injury factors was conducted.Receiver operating characteristic(ROC)curves were drawn to evaluate the predictive efficiency of TyG,VAI,and AIP.Results The levels of TyG,VAI and AIP were significantly higher in the DKD group compared to the T2DM group,and these indices exhibited an increasing trend with disease progression(P＜0.05).Furthermore,there was a negative correlation between TyG,VAI,AIP and eGFR(r=-0.396,-0.425,-0.519,P＜0.01),and a positive correlation between UACR and eGFR(r=0.482,0.479 and 0.583,P＜0.01)in DKD patients.Multiple linear regression results showed that VAI and AIP were independent risk factors for eGFR,and TG,HDL-C,LDL-C,Apo B and VAI were influencing factors of UACR(P＜0.05).The ROC curve analysis revealed that the areas under the curves for TyG,VAI and AIP were 0.902(0.866-0.937),0.969(0.953-0.986)and 0.958(0.937-0.979)respectively.Conclusion The levels of TyG,VAI and AIP are correlated with the progression of DKD,and have predictive value for the occurrence and development of DKD.These biomarkers can be used as a biological indicator to evaluate the occurrence and development of DKD.

Objective To explore the application value of intratumoral and peritumoral ultrasomics in predicting the expression level of Ki-67 in breast invasive ductal carcinoma.Methods A retrospective study was conducted on 300 patients who underwent breast surgery and were pathologically confirmed to be breast invasive ductal carcinoma,including 169 cases in low expression group(Ki-67<30%)and 131 cases in high expression group(Ki-67≥30%).The largest cross-section of the lesion on the two-dimensional ultrasound images was selected to delineate the region of interest which was automatically expanded outward by 5 mm to obtain the peritumoral area,and the intratumoral and peritumoral ultrasomics features were extracted.The patients were randomly divided into training group(n=210)and validation group(n=90)in a ratio of 7:3.All features were screened through Z-score standardization,t test,Pearson correlation coefficient and least absolute shrinkage and selection operator algorithm to obtain the optimal feature combination.Random forest(RF)model was used to classify the expression level of Ki-67 in breast invasive ductal carcinoma,and 3 models(intratumoral,peritumoral and combined models)were established,whose diagnostic efficacies in predicting the expression level of Ki-67 in breast invasive ductal carcinoma were evaluated using receiver operating characteristic curve.Results The RF model constructed based on the combination of intratumoral and peritumoral ultrasomics features performed better in predicting the Ki-67 expression status in breast cancer,with the AUC values of 0.899(95%CI:0.860-0.939)in training group and 0.832(95%CI:0.746-0.917)in validation group,demonstrating its superior diagnostic efficacy over the intratumoral and peritumoral radiomics alone(P<0.05).Conclusion A RF model constructed based on intratumoral combined with peritumoral ultrasomics features which has good diagnostic performance in predicting the expression level of Ki-67 in breast invasive ducts has the potential to serve as a non-invasive tool,providing useful information for personalized treatment strategy of breast invasive ductal carcinoma.

Objective: To investigate the changes of microorganisms and metabolites in joint effusion of patients with Rheumatoid arthritis(RA), Osteoarthritis(OA) and Urarthritis(UA). To provide new ideas for the study of the effect of microbiota on the pathogenesis of arthritis. Methods: Joint effusion samples were collected from 20 patients with RA, 20 patients with OA, and 20 patients with UA. 16S rRNA gene sequencing and untargeted ultra-high performance Liquid chromatography-mass spectrometry(LC-MS) were used to explore the differences in microorganisms and metabolites among the three groups. Pearson correlation analysis was used to detect the correlation between effusion microbiota and metabolites. Results: There were differences in microbial diversity and microbiota composition among the three groups. Combined with VIP>1 from OPLS-DA andP<0.05 from two-tailed Students t-test, 45 differential metabolites(Between RA and OA groups), 38 differential metabolites(Between UA and OA groups) and 16 differential metabolites(Between RA and UA groups), were identified. GO analysis and KEGG pathway analysis showed that the differential metabolic pathways among the three groups were mainly concentrated in citric acid cycle(TCA cycle), nucleotide metabolism, amino acid metabolism and glycolysis pathway. Correlation analysis of joint effusion microbiota and metabolites suggested that bacteria enriched in the three groups of joint effusion, such asPrevotella,Clostridium ruminosus,Prevotellaceae＿UCG-001, were related to many key metabolites such as lysozyme, uric acid, glucose, and L-glutamine. Conclusion This study shows that there are a variety of bacterial flora in joint cavity effusion of RA, OA, and UA patients, and the differential metabolites produced by them are involved in the pathogenesis of the three types of arthritis by affecting a variety of metabolic pathways.

ObjectiveTo use the maternal morbidity WOICE Tool（Chinese version）to investigate the maternal morbidity in Shanghai， and to examine the current situation and associated factors of adverse symptoms and impaired functioning in the third trimester and postpartum period. MethodsPregnant women who made their initial visit and established a medical record at a tertiary obstetrics and gynecology hospital in Shanghai from March to August 2021 were recruited and a baseline survey was completed. The prevalence of maternal morbidity was surveyed in the third trimester and first 6 weeks postpartum. ResultsSelf-reported adverse physical symptoms were observed in 89.8% of women in the third trimester and 86.1% in first 6 weeks postpartum. The prevalence rates of anxiety and depression were 4.1% and 6.2% in the third trimester， and 6.2% and 7.5% in first 6 weeks postpartum， respectively. The proportions of women reporting impaired functioning were 80.3% in the third trimester and 64.1% in first 6 weeks postpartum， respectively. Physical symptoms were associated with parity， education， the newborn’s health status， and risk of experiencing violence. Psychological symptoms were associated with age， household responsibilities， employment status， the newborn’s health status， pre-pregnancy body mass index （BMI）， and risk of experiencing violence. Functionality was associated with the type of registered residence， education level， household responsibilities， and risk of experiencing violence. ConclusionThe physical health status of pregnant and postpartum women in Shanghai is better than that in the middle-income regions abroad， with anxiety and depression at average levels compared to national statistics in China. Physical， psychological， and functional status are affected by multiple factors including personal， health， family， and work conditions. Preventive measures should be taken from various perspectives to mitigate adverse symptoms and impaired functioning， and to improve the positive experience of pregnancy and childbirth.

Objective:To measure and compare the difference of personal attenuation rating (PAR) of the workers wearing foam earplugs before and after the training, and to evaluate the effect of ear protector wearing training on the noise protection.Methods:In February 2023, 94 workers exposed to noise in a machinery manufacturing factory were selected as subjects. The production noise in the workplace was measured and subjects were trained to wear earplugs. The PAR values of wearing 3M 1110 foam test earplugs were measured and recorded before and after the training by using the fit testing of hearing protection device. The differences between the actual PAR values with nominal values and the noise attenuation values in related standards were compared, and the protective effect of hearing protection device before and after training was evaluated.Results:The average age of the subjects was (36.76±11.48) years old, the average length of service was (16.34±11.64) years, and the average exposure time to noise was (15.67±11.64) years. The noise detection results of the subjects' posts were ranged from 80.1 to 94.3 dB (A). The results of subjects wore 3M 1110 foam test earplugs for fit testing showed that the binaural PAR value after training was (19.3±6.4) dB (A), which was significantly higher than that before training (11.1±7.4) dB (A) ( t=13.31, P<0.001). After training, 11 people (11.70%) could reach the corrected noise reduction value (NRR value), 26 people (27.66%) could reach the standard of single noise reduction value (SNR value) ×0.6, and 84 people (89.36%) could reach the standard of (NRR-7) /2. The under protection rate of hearing protectors after training (7.45%) was significantly lower than that before training (45.74%), and the difference of different protection levels before and after training was statistically significant (χ 2=40.83, P<0.001) . Conclusion:It is suggested that enterprises should use the fit testing instead of nominal value estimation to evaluate the noise reduction effect of hearing protection device. Special training on the selection and use of hearing protection device should be strengthened, so as to ensure that workers wear them correctly and improve the protective effect of hearing protection device.

Objective:To measure and compare the difference of personal attenuation rating (PAR) of the workers wearing foam earplugs before and after the training, and to evaluate the effect of ear protector wearing training on the noise protection.Methods:In February 2023, 94 workers exposed to noise in a machinery manufacturing factory were selected as subjects. The production noise in the workplace was measured and subjects were trained to wear earplugs. The PAR values of wearing 3M 1110 foam test earplugs were measured and recorded before and after the training by using the fit testing of hearing protection device. The differences between the actual PAR values with nominal values and the noise attenuation values in related standards were compared, and the protective effect of hearing protection device before and after training was evaluated.Results:The average age of the subjects was (36.76±11.48) years old, the average length of service was (16.34±11.64) years, and the average exposure time to noise was (15.67±11.64) years. The noise detection results of the subjects' posts were ranged from 80.1 to 94.3 dB (A). The results of subjects wore 3M 1110 foam test earplugs for fit testing showed that the binaural PAR value after training was (19.3±6.4) dB (A), which was significantly higher than that before training (11.1±7.4) dB (A) ( t=13.31, P<0.001). After training, 11 people (11.70%) could reach the corrected noise reduction value (NRR value), 26 people (27.66%) could reach the standard of single noise reduction value (SNR value) ×0.6, and 84 people (89.36%) could reach the standard of (NRR-7) /2. The under protection rate of hearing protectors after training (7.45%) was significantly lower than that before training (45.74%), and the difference of different protection levels before and after training was statistically significant (χ 2=40.83, P<0.001) . Conclusion:It is suggested that enterprises should use the fit testing instead of nominal value estimation to evaluate the noise reduction effect of hearing protection device. Special training on the selection and use of hearing protection device should be strengthened, so as to ensure that workers wear them correctly and improve the protective effect of hearing protection device.

Diabetic neuropathic pain (DNP) is the most common disabling complication of diabetes. Emerging evidence has linked the pathogenesis of DNP to the aberrant sprouting of sensory axons into the epidermal area; however, the underlying molecular events remain poorly understood. Here we found that an axon guidance molecule, Netrin-3 (Ntn-3), was expressed in the sensory neurons of mouse dorsal root ganglia (DRGs), and downregulation of Ntn-3 expression was highly correlated with the severity of DNP in a diabetic mouse model. Genetic ablation of Ntn-3 increased the intra-epidermal sprouting of sensory axons and worsened the DNP in diabetic mice. In contrast, the elevation of Ntn-3 levels in DRGs significantly inhibited the intra-epidermal axon sprouting and alleviated DNP in diabetic mice. In conclusion, our studies identified Ntn-3 as an important regulator of DNP pathogenesis by gating the aberrant sprouting of sensory axons, indicating that Ntn-3 is a potential druggable target for DNP treatment.
Mice ; Animals ; Diabetes Mellitus, Experimental/metabolism* ; Axons/physiology* ; Diabetic Neuropathies ; Sensory Receptor Cells/metabolism* ; Neuralgia/metabolism*

The awake prone position plays an important role in the treatment of hypoxemia and the improvement of respiratory distress symptoms in non-intubated patients. It is widely used in clinical practice because of its simple operation, safety, and economy. To enable clinical medical staff to scientifically and normatively implement prone position for awake patients without intubation, the committees of consensus formulation, guided by evidence-based methodology and Delphi method, conducted literature search, literature quality evaluation and evidence synthesis around seven topics, including indications and contraindications, evaluation, implementation, monitoring and safety management, termination time, complication prevention and health education of awake prone position. After two rounds of expert letter consultation, Expert consensus on implementation strategy of awake prone positioning for non-intubated patients in China (2023) was formulated, and provide guidance for clinical medical staff.
Humans ; Consensus ; Prone Position ; Wakefulness ; China ; Dyspnea

ObjectiveTo investigate the mediating role of loneliness and social anxiety in the relationship between basic psychological needs satisfaction and smartphone addiction among high school students， and to provide references for the intervention to smartphone addiction for high school students. MethodsIn April 2022， a total of 14 666 high school students from 5 middle schools in a county of Sichuan Province were included by random sampling method. Basic Psychological Needs Scales （BPNS）， the UCLA Loneliness Scale-3 edition （UCLA-3）， Interaction Anxiousness Scale （IAS） and the Mobile Phone Addiction Index （MPAI） were used for cross-sectional investigation. Bootstrap method was used to analyze the mediating role of loneliness and social anxiety in the relationship between the basic psychological needs satisfaction and smartphone addiction. Results① In this study， 14 036 valid questionnaires were returned， and 1 752 （12.48%， 95% CI： 0.114~0.136） high school students were found to be addicted to smartphone phone. The BPNS score was negatively correlated with UCLA-3， IAS and MPAI scores （r=-0.771， -0.486， -0.417， P<0.01）. And MPAI score was positively correlated with IAS and UCLA-3 scores （r=0.403， 0.424， P<0.01）. IAS score was positively correlated with UCLA-3 score （r=0.458， P<0.01）. ②The degree of basic psychological needs satisfaction in high school students can directly negatively predict smartphone addiction （β=-0.383， P<0.05）， and can also indirectly affect smartphone addiction through loneliness and social anxiety （β=-0.130， P<0.05）. ③Loneliness （indirect effect value was -0.145） and social anxiety （indirect effect value was -0.074） partially mediate between the basic psychological needs satisfaction and smartphone addiction. Loneliness-social anxiety also has significant chain mediating effect （indirect effect value was -0.034）， which accounted for 8.88%. ConclusionThe basic psychological needs satisfaction can not only directly affect the occurrence of smartphone addiction， but also indirectly affect the occurrence of smartphone addiction through the chain mediation of loneliness and social anxiety.