Objective To evaluate the role of distortion product otoacoustic emissions (DPOAE) testing in evaluating early hearing loss among noise-exposed workers. Methods A total of 174 noise-exposed workers in a metal shipbuilding enterprise were selected as the research subjects by the convenience sampling method. Pure tone audiometry (PTA), DPOAE and the level of noise exposure were conducted on the workers. The rank correlation analysis was used to analyze the correlation between DPOAE amplitude and PTA threshold. The multilevel model was used to analyze the effects of gender, age, noise exposure intensity, cumulative noise exposure (CNE), hearing loss classification and PTA threshold on DPOAE results. Results At the frequencies of 0.50, 1.00, 2.00, 3.00, 4.00, 6.00 and 8.00 kHz, the DPOAE amplitude was negatively correlated with the PTA threshold (rank correlation coefficients were -0.12, -0.48, -0.47, -0.18, -0.23, -0.44, -0.19, respectively, all P<0.01). At the most frequencies, DPOAE amplitude was negatively correlated with age and CNE (all P<0.05). The results of multilevel model analysis showed that there were significant differences in DPOAE amplitudes at certain frequencies across gender, age, noise intensity, CNE, and hearing loss classification (all P<0.05). Significant differences in DPOAE responses were found among different CNE and hearing loss groups (all P<0.01). Conclusion DPOAE testing can objectively reflect the hearing status of noise-exposed workers and could be considered for inclusion in routine hearing monitoring to facilitate early detection of noise-induced hearing loss.

Objective To construct a machine learning prediction model for postoperative liver injury in patients with non-liver surgery based on preoperative and intraoperative medication indicators.Methods A case-control study was conducted on 315 patients with liver injury after non-liver surgery selected from the databases developed by 3 large general hospitals from January 2014 to September 2022.With the positive/negative ratio of 1 ∶3,928 cases in corresponding period with non-liver surgery and without liver injury were randomly matched as negative control cases.These 1243 patients were randomly divided into the modeling group(n=869)and the validation group(n=374)in a ratio of 7∶3 using the R language setting code.Preoperative clinical indicators(basic information,medical history,relevant scale score,surgical information and results of laboratory tests)and intraoperative medication were used to construct the prediction model for liver injury after non-liver surgery based on 4 machine learning algorithms,k-nearest neighbor(KNN),support vector machine linear(SVM),logic regression(LR)and extreme gradient boosting(XGBoost).In the validation group,receiver operating characteristic(ROC)curve,precision-recall curve(P-R),decision curve analysis(DCA)curve,Kappa value,sensitivity,specificity,Brier score,and F1 score were applied to evaluate the efficacy of model.Results The model established by 4 machine learning algorithms to predict postoperative liver injury after non-liver surgery was optimal using the XGBoost algorithm.The area under the receiver operating characteristic curve(AUROC)was 0.916(95%CI:0.883～0.949),area under the precision-recall curve(AUPRC)was 0.841,Brier score was 0.097,and sensitivity and specificity was 78.95%and 87.10%,respectively.Conclusion The postoperative liver injury prediction model for non-liver surgery based on the XGBoost algorithm has effective prediction for the occurrence of postoperative liver injury.

Objective To observe the value of SimGrid(SG)and S-Enhance(SE)for improving image quality of low-dose X-ray films in children.Methods Data of 344 children in intensive care unit who underwent 410 times bedside X-ray examinations,including 290 times of chest X-ray,51 of abdominal X-ray and 69 of chest and abdominal combined X-ray were enrolled.SG and SE were respectively used for post-processing,and the quality of post-processed images were analyzed.Results Among 410 SG post-processing images,250 images were classified as 2-point,147 as 1-point and 13 as 0-point.SG could significantly improve image quality of children≥1 year and body mass≥10 kg(all P＜0.05),with better ability for displaying bones,trachea,peripheral blood vessels,foreign objects,psoas major muscle and intestinal gas(all P＜0.05).Among 410 SE post-processing images,250 images were classified as 2-point,58 as 1-point and 102 of 0-point.SE could significantly improve image quality of children≥0.5 years and with body mass＞4 kg(all P＜0.05),with better ability for displaying bones,trachea,large blood vessels,peripheral vessels,heart posterior blood vessels and foreign objects(all P＜0.05).Conclusion SG could significantly improve displaying of bones,trachea,peripheral blood vessels,foreign objects,psoas major muscle and intestinal gas in children≥1 year and body mass≥10 kg,while SE could improve displaying of bones,trachea,large blood vessels,peripheral blood vessels,heart posterior blood vessels and foreign objects in children aged≥0.5 years and body mass＞4 kg on low-dose X-ray films.

Objective To determine the correlation and agreement of sacral ratio(SR)measured by lateral and anteroposterior radiographs in patients with anorectal malformation(ARM).Methods A retrospective analysis was conducted on the anteroposterior and lateral radiographs images of the sacral vertebrae of patients with ARM.All SR values were measured by three radiologists.Pearson's correlation coefficient were used to assess the correlation between the SR measured by lateral and anteroposterior radiographs.A weighted Kappa statistic was used to measure the agreement between how the anteroposterior and lateral SR categorized observations into risk groups.Results Of the 385 ARM patients,25 patients whose radiographs image quality was insufficient to calculate SR value were excluded.For a given pair of measurements,the mean lateral SR value was 0.08 units greater than the anteroposterior SR value[95%confidence interval(CI)0.06-0.09,P<0.01].Anteroposterior and lateral images had a moderate positive correlation(r=0.79,95%CI 0.73-0.79,P<0.01)and moderate agreement in risk categorization(Kappa=0.62,P<0.01).Anteroposterior and lateral readings conducted by all three radiologists had excellent inter-rater reliability with intraclass correlation coefficient(ICC)for anteroposterior and lateral SR of 0.88 and 0.84,respectively.Conclusion Even though the anteroposterior and lateral SR values have moderate positive correlation,the mean SR value determined by images in the lateral is 0.08 units greater than the anteroposterior.Anteroposterior and lateral SR value conclude different risk categories relatively often.The SR values measured by lateral sacral radiographs are more clinically significant than those measured by anteroposterior radiographs.

Using column chromatography methods including the macroporous adsorbent resin, MCI gel CHP 20P, ODS-A-HG, Sephadex LH-20, combined with chromatographic separation methods such as TLC and reversed-phase HPLC, three glycosides (1-3) and two peptides including two new compounds were isolated from the ethanol extract of arthropod Scolopendra subspinipes mutilans. Their structures were identified as colosides A and B (1 and 2), 3,4-dihydroxyquinoline-4-O-β-D-glucopyranoside (3), aurantiamide (4), cyclo (L-phe-L-val) (5) by UV, NMR and HR-ESI-MS spectroscopic techniques.

Objective To predict and verify the mechanism of Naoan capsules(NAC)in treatment of ischemic stroke(IS)by network pharmacology,Gene Expression Omnibus(GEO)database,and molecular docking technology.Methods The active components in NAC were collected using the Traditional Chinese Medicine System Pharmacological Analysis Platform,and the disease-related differential genes were screened using GEO database.After screening and obtaining the common targets of the two,the compound disease network was constructed by Cytoscape 3.8.2 software.At the same time,protein-protein interaction networks were created to identify candidate targets for NAC treatment of IS,and gene ontology and Kyoto encyclopedia of genes and genomes enrichment analyses were performed.Finally,core targets were verified by molecular docking technology.Results A total of 56 candidate compounds and 18 544 disease-related differential genes were screened.Further,quercetin,kaempferol,luteolin and baicalein were found to be the key active compounds of NAC in the treatment of IS through the compound disease network.In the search of PPI network core,eight key targets for NAC treatment of IS were screened,including mitogen-activated protein kinase 1(MAPK1),B-cell lymphoma factor 2(Bcl-2),cysteinylaspartate specific protease 3(CASP3),etc.In addition,the key pathways of NAC treatment of IS are mainly concentrated in lipid and atherosclerosis,advanced glycation end products and receptor for advanced glycation end products(AGE-RAGE),tumor necrosis factor(TNF),interleukin17(IL-17),C-type lectin receptor,apoptosis,hypoxia-inducing factor-1(HIF-1),MAPK and other signaling pathways.Finally,the molecular docking results showed that the key active compounds(quercetin,kaempferol,luteolin and baicalein)had good binding force with the 8 key targets,which initially verified the results of network pharmacology.Conclusion NAC plays a role in the treatment of IS through multi-component,multi-target and multi-pathway.

Objective To evaluate the efficacy and safety of brexpiprazole in treating acute schizophrenia.Methods Patients with schizophrenia were randomly divided into treatment group and control group.The treatment group was given brexpiprozole 2-4 mg·d-1 orally and the control group was given aripiprazole 10-20 mg·d-1orally,both were treated for 6 weeks.Clinical efficacy of the two groups,the response rate at endpoint,the changes from baseline to endpoint of Positive and Negative Syndrome Scale(PANSS),Clinical Global Impression-Improvement(CGI-S),Personal and Social Performance scale(PSP),PANSS Positive syndrome subscale,PANSS negative syndrome subscale were compared.The incidence of treatment-related adverse events in two groups were compared.Results There were 184 patients in treatment group and 186 patients in control group.After treatment,the response rates of treatment group and control group were 79.50％(140 cases/184 cases)and 82.40％(150 cases/186 cases),the scores of CGI-I of treatment group and control group were(2.00±1.20)and(1.90±1.01),with no significant difference(all P＞0.05).From baseline to Week 6,the mean change of PANSS total score wese(-30.70±16.96)points in treatment group and(-32.20±17.00)points in control group,with no significant difference(P＞0.05).The changes of CGI-S scores in treatment group and control group were(-2.00±1.27)and(-1.90±1.22)points,PSP scores were(18.80±14.77)and(19.20±14.55)points,PANSS positive syndrome scores were(-10.30±5.93)and(-10.80±5.81)points,PANSS negative syndrome scores were(-6.80±5.98)and(-7.30±5.15)points,with no significant difference(P＞0.05).There was no significant difference in the incidence of treatment-related adverse events between the two group(69.00％vs.64.50％,P＞0.05).Conclusion The non-inferiority of Brexpiprazole to aripiprazole was established,with comparable efficacy and acceptability.

In recent years, the research focus on health-related behavior and chronic non-communicable diseases has shifted from the analysis on independent effects of multiple causes on a single outcome to the evaluation the complex relationships between multiple causes and multiple effects. Complex network theory, an important branch of system science, considers the relationships among factors in a network and can reveal how health-related behaviors interact with chronic diseases through a series of complex network models and indicators. This paper summarizes the definition and development of complex network theory and its commonly used models, indicators, and case studies in the field of health-related behavior and chronic disease to promote the application of complex network theory in the field of health and provide reference and tools for future research of the relationship between health-related behavior and chronic disease.

Objective:To explore the association between occupational noise perception and cardiovascular disease (CVD), depression symptoms, as well as their comorbidity in occupational population and provide evidence for the prevention and control of physical and mental illnesses.Methods:A cross-sectional survey design was adopted, based on baseline data in population in 28 prefectures in Sichuan Province and Guizhou Province, and 33 districts (counties) in Chongqing municipality from Southwest Occupational Population Cohort from China Railway Chengdu Group Co., Ltd. during October to December 2021. A questionnaire survey was conducted to collect information about noise perception, depressive symptoms, and the history of CVD. Latent profile analysis model was used to determine identify noise perception type, and multinomial logistic regression analysis was conducted to explore the relationship between different occupational noise perception types and CVD, depression symptoms and their comorbidity.Results:A total of 30 509 participants were included, the mean age was (36.6±10.5) years, and men accounted for 82.0%. The direct perception of occupational noise, psychological effects and hearing/sleep impact of occupational noise increased the risk for CVD, depressive symptoms, and their comorbidity. By using latent profile analysis, occupational noise perception was classified into four levels: low, medium, high, and very high. As the level of noise perception increased, the association with CVD, depressive symptoms, and their comorbidity increased. In fact, very high level occupational noise perception were found to increase the risk for CVD, depressive symptoms, and their comorbidity by 2.14 (95% CI: 1.73-2.65) times, 8.80 (95% CI: 7.91-9.78) times, and 17.02 (95% CI: 12.78-22.66) times respectively compared with low-level occupational noise perception. Conclusions:Different types of occupational noise perception are associated with CVD and depression symptom, especially in the form of CVD complicated with depression symptom. Furthermore, the intensity of occupational noise in the work environment should be reduced to lower the risk for physical and mental health.

Objective:To investigate the association between alcohol consumption and hypertension and SBP, DBP and the mediating effects of body mass index (BMI) and lipid level in occupational population, and provide reference for the intervention and prevention of hypertension.Methods:Based on the data of Southwest Occupational Population Cohort from China Railway Chengdu Group Co., Ltd., the information about the demographic characteristics, behavior and lifestyle, blood pressure and lipids level of the participants were collected through questionnaire survey, physical examination and blood biochemical test. Logistic/linear regression was used to analyze the association between alcohol consumption and hypertension, SBP and DBP. The individual and joint mediating effects of BMI, HDL-C, LDL-C, TG, and TC were explored through causal mediating analysis. A network analysis was used to explore the correlation between alcohol consumption, BMI and lipid levels, and hypertension.Results:A total of 22 887 participants were included, in whom 1 825 had newly detected hypertension. Logistic regression analysis found that current/former drinkers had a 33% increase of risk for hypertension compared with never-drinkers ( OR=1.33, 95% CI:1.19-1.48). Similarly, alcohol consumption could increase SBP ( β=1.05, 95% CI:0.69-1.40) and DBP ( β=1.10, 95% CI:0.83-1.38). Overall, BMI and lipid levels could mediate the associations between alcohol consumption and hypertension, SBP and DBP by 21.91%, 28.40% and 22.64%, respectively. BMI and TG were the main mediators, and they were also the two nodes with the highest edge weight and bridge strength centrality in the network of alcohol consumption, BMI, lipid levels and hypertension. Conclusions:Alcohol consumption was associated with increased risk for hypertension, and BMI and TG were important mediators and key nodes in the network. It is suggested that paying attention to the alcohol consumption, BMI and TG might help prevent hypertension in occupational population.