Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

Objective To explore the applicability of four risk assessment methods in evaluating occupational health risks associated with low-level benzene homologues exposure in key work sites within the automobile manufacturing industry. Methods The work sites (paint mixing and spray painting) with exposure to benzene homologues among six automobile manufacturing enterprises in Guangdong Province were selected as the study subjects using the judgmental sampling method. Qualitative risk assessment, exposure index method, non-carcinogenic risk assessment, and the International Council on Mining and Metals risk rating method were independently applied to evaluate the occupational health risks of benzene homologues at these work sites. Accuracy, consistency, and correlation of the four methods were compared. Results The air levels of benzene, toluene, xylene, and ethylbenzene in work sites of paint mixing and spray painting across all six enterprises met national occupational health standards. The median ratios of occupational exposure limits for benzene and toluene in spray painting site were higher than those in paint mixing site (0.017 vs 0.010, P<0.05). Using this ratio as a reference for evaluating method accuracy, the non-carcinogenic risk assessment method could distinguish paint mixing site from spray painting site in terms of risk level (P<0.05), whereas the other three methods could not (both P>0.05). The result of consistency testing revealed that the Kappa coefficients between the four methods ranged from -0.13-0.26, indicating poor consistency. The result of Spearman correlation analysis showed that the non-carcinogenic risk assessment and exposure index methods had higher correlation with occupational exposure limits ratios (Spearman correlation coefficients were 0.501 and 0.656, respectively, all P<0.05). Conclusion Occupational health risk assessment can serve as a supplementary tool to evaluate the hazard level of key work sites in the automobile manufacturing industry. Non-carcinogenic risk assessment shows higher accuracy.

BackgroundPrevious studies have identified a close relationship among psychological neglect and abuse， negative affect， different stages of adolescence， and suicidal ideation. However， the mechanisms underlying the impact of psychological abuse and neglect on suicidal ideation among left-behind adolescents remain unclear， and this field of research is still in its relative infancy. ObjectiveTo explore the relationship between psychological neglect/abuse and suicidal ideation among left-behind adolescents， as well as the mediating role of negative affect and the moderating effect of different stages of adolescence， so as to provide insights for preventing and intervening suicidal ideation in this population. MethodsFrom November 2021 to May 2022， a cluster random sampling technique was utilized to select 2 309 left-behind adolescents in western China. Assessments were conducted using the Child Psychological Abuse and Neglect Scale （CPANS）， the Positive and Negative Suicide Ideation （PANSI） and the Positive and Negative Affect Schedule for Children （PANAS-C）. Spearman correlation coefficients were calculated across all samples， and Process 4.1 was employed to test the mediating role of negative affect and the moderating role of different stages of adolescence in the pathway linking psychological abuse/neglect to suicidal ideation. ResultsA total of 2 119 left-behind adolescents （mean age： 14.94±1.20 years） completed the study， with males comprising 51.34% （1 088/2 119） and females 48.66% （1 031/2 119）.Among left-behind adolescents， scores on CPANS psychological neglect subscale showed positive correlations with both psychological abuse subscale scores and PANAS-C negative affect subscale scores （r=0.446， 0.496， P<0.01）. Additionally， CPANS psychological neglect and psychological abuse subscale scores were also positively correlated with PANSI scores （r=0.487， 0.508， P<0.01）. Furthermore， PANAS-C negative affect subscale scores demonstrated a positive correlation with PANSI scores （r=0.499， P<0.01）. Negative affect partially mediated the relationship between psychological abuse/psychological neglect and suicidal ideation， with effect sizes of 0.166 （95% CI： 0.141~0.191） and 0.131 （95% CI： 0.112~0.152）. Different stages of adolescence moderated the latter part （negative emotion → suicidal ideation） of the indirect mediation path from psychological neglect to suicidal ideation through negative affect （β=-0.066， P<0.01）. ConclusionBoth psychological neglect and psychological abuse may influence suicidal ideation among left-behind adolescents via negative affect. Moreover， different stages of adolescence may moderate the indirect path from psychological neglect to suicide ideation through negative affect.

Objective: To investigate how parental divorce impacts psychological abuse and neglect among middle and high school students, so as to provide evidence for the development of family intervention strategies for mental health promotion. Methods: A stratified random cluster sampling method was employed to select students from 23 middle and high schools in Nanchong, Neijiang, and Luzhou. Online questionnaires utilizing the General Data Questionnaire and the Child Psychological Abuse and Neglect Scale (CPANS) were administered. Propensity score matching (PSM) was used to compare individual characteristics between parent divorce and the control groups. The χ 2 test was then employed to analyze differences in psychological abuse and neglect across variables, with Logistic regression used to treat psychological abuse and neglect as dependent variables. Results: After PSM, there were 1 898 cases in both parent divorce and control groups. There was no significant difference in gender composition between the two groups ( χ 2=0.03, P >0.05). Compared to the control group, after controlling for various factors including gender, phase of studying, parental education, whether to live in school, and long term caregivers of the student, the risk of experiencing psychological abuse ( OR=1.43, 95%CI =1.26-1.63) and neglect ( OR=1.53, 95%CI =1.33-1.75) was significantly higher in parentdivorce group ( P <0.05). Conclusions Parental divorce significantly impacts psychological abuse and neglect experienced by middle and high school students. Therefore, support and intervention efforts should be intensified for students from divorced or unstable marriage families.

Objective To summarize the epidemiological and clinical features of infectious diseases of the central nervous system(CNS)by a single-center analysis.Methods A retrospective analysis was conducted on the data of 1247 cases of CNS infectious diseases diagnosed and treated in the First Medical Center of PLA General Hospital from 2001 to 2020.Results The data for this group of CNS infectious diseases by disease type in descending order of number of cases were viruses 743(59.6％),Mycobacterium tuberculosis 249(20.0％),other bacteria 150(12.0％),fungi 68(5.5％),parasites 18(1.4％),Treponema pallidum 18(1.4％)and rickettsia 1(0.1％).The number of cases increased by 177 cases(33.1％)in the latter 10 years compared to the previous 10 years(P<0.05).No significant difference in seasonal distribution pattern of data between disease types(P>0.05).Male to female ratio is 1.87︰1,mostly under 60 years of age.Viruses are more likely to infect students,most often at university/college level and above,farmers are overrepresented among bacteria and Mycobacterium tuberculosis,and more infections of Treponema pallidum in workers.CNS infectious diseases are characterized by fever,headache and signs of meningeal irritation,with the adductor nerve being the more commonly involved cranial nerve.Matagenomic next-generation sequencing improves clinical diagnostic capabilities.The median hospital days for CNS infectious diseases are 18.00(11.00,27.00)and median hospital costs are ￥29,500(￥16,000,￥59,200).The mortality rate from CNS infectious diseases is 1.6％.Conclusions The incidence of CNS infectious diseases is increasing last ten years,with complex clinical presentation,severe symptoms and poor prognosis.Early and accurate diagnosis and standardized clinical treatment can significantly reduce the morbidity and mortality rate and ease the burden of disease.

Depression is a common disease that affects human mental health in today’s society. The establishment of animal model of depression is of great significance to the study of depression. In recent years, people’s research on depression has gradually increased, and the modeling methods of depression animals have been gradually enriched. Due to the reasons of operation and cost, the modeling of depression in rodents is more common and mature. At present, the main animal models of depression include stress model, drug model, surgical model and genetic model. Each model has its own advantages and disadvantages. Appropriate methods can be selected according to the research purpose, so as to conduct in-depth research on depression. Recent studies have found that some brain signal pathways have become new targets for the treatment of depression. These signal pathways are closely related to depression, and the drugs acting on these targets have significant curative effects. Therefore, this paper reviewed the research progress of animal models and signal pathways of depression in recent years, so as to provide a theoretical basis for the study of the pathogenesis of depression.

Objective:To analyze the disease burden of Noise-Induced Hearing Loss (NIHL) in China from 1990 to 2019, forecast the disease burden of NIHL from 2020 to 2030, and provide data support for the prevention and control of NIHL.Methods:In July 2022, the disease burden data of NIHL in different age groups and genders in China during 1990-2019 were selected from the GBD database. The Jointpoint regression model was established to analyze the trend of the disease burden of NIHL in China. An age-period-cohort model was constructed to analyze the changing trend of NIHL in terms of age, period, and cohort, and a Bayesian age-period-cohort model was developed to predict the disease burden of NIHL in China from 2020 to 2030.Results:From 1990 to 2019, the disability adjusted life year (DALY) of China's NIHL increased from 1361600 to 2327700 years. The coarse rate of DALY increased from 115.03/100000 to 163.65/100000 (AAPC=1.23, P<0.001), and the normalization rate of DALY decreased from 127.67/100000 to 119.83/100000 (AAPC=-0.21, P<0.001). It is predicted that from 2020 to 2030, the DALYs of China's NIHL will increase from 2412900 in 2020 to 2655000 in 2030, and the DALY normalization rate will decrease from 241.29/100000 in 2020 to 125.71/100000 in 2030. Conclusion:The burden of noise-induced hearing loss (NIHL) in China is significant and should not be overlooked. To reduce this burden, we need to focus on strengthening source management, process control, personal protection, and comprehensive prevention and treatment through various methods.

177Lu-prostate specific membrane antigen(PSMA)radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China.Based on domestic clinical practice and experimental data and referred to international experience and viewpoints,the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.

Objective:To explore the risk factors for in-hospital mortality in patients with severe trauma and their predictive predictive value.Methods:A retrospective case-control study was used to analyze the data of 509 patients with severe trauma in the trauma database of the Trauma Center of the Second Affiliated Hospital of Soochow University from January 2017 to December 2021, including 377 males and 132 females, aged 18-94 years [53(42, 65)years]. Injury severity score (ISS) was 16-75 points [22(18, 29)points]. Injured parts included the head and neck in 409 patients (80.35%), the chest in 328(64.44%), the abdomen in 193(37.91%), the pelvis in 142(27.90%), the spine in 79(15.52%), and the limb in 247(48.53%). According to the clinical outcome during the hospital stay, the patients were divided into survival group ( n=390) and non-survival group ( n=119). Baseline and clinical data of the two groups were compared, including gender, age, cause of injury (traffic injury, fall from height, sharp instrument injury, etc.), injury site (head and neck, chest, abdomen, pelvis, spine, limb), vital signs on admission (temperature, systolic blood pressure, heart rate, respiratory rate), blood tests on admission [hemoglobin, platelets, prothrombin time (PT), activated partial thromboplastin time (APTT), international normalized ratio (INR), fibrinogen (FIB)], Glasgow coma scale (GCS) upon admission to the emergency room, revised trauma score (RTS) upon admission to the emergency room, ISS after whole-body CT examination, quick sequential organ failure assessment (qSOFA) score upon admission to the emergency room, and INR combined with qSOFA score. The baseline and clinical data of the survival group and the non-survival group were first compared with univariate analysis. Then, the independent risk factors of in-hospital mortality in patients with severe trauma were determined by multivariate Logistic stepwise regression (forward and backward). Based on the above data, receiver operating characteristic (ROC) curves were generated with Medcalc statistical software to analyze the efficacy of each risk factor in assessing in-hospital mortality in patients with severe trauma. Results:Univariate analysis showed that there were significant differences in age, injury site, temperature, systolic blood pressure, hemoglobin, platelet, PT, APTT, INR, FIB, GCS, RTS, ISS, qSOFA score, and INR combined with qSOFA score between the two groups ( P<0.05 or 0.01), while there were no significant differences in gender, cause of injury, heart rate, and respiratory rate between the two groups ( P>0.05). Multivariate Logistic stepwise regression analysis showed that age, systolic blood pressure, APTT, ISS, and INR combined with qSOFA score were significantly correlated with in-hospital mortality in patients with severe trauma ( P<0.01). ROC curve analysis results showed that the area under the curve (AUC) of in-hospital mortality in patients with severe trauma predicted by age, systolic blood pressure, APTT, ISS, and INR combined with qSOFA score were 0.63(95% CI 0.59, 0.68) and 0.60(95% CI 0.55, 0.64), 0.66(95% CI 0.62, 0.70), 0.73(95% CI 0.69, 0.77), and 0.75(95% CI 0.72, 0.80), respectively. Conclusions:Age, systolic blood pressure, APTT, ISS, and INR combined with qSOFA score are the independent risk factors for in-hospital mortality in patients with severe trauma. ISS and INR combined qSOFA score can better predict in-hospital mortality of patients with severe trauma than age, systolic blood pressure and APTT.

Objective:To analyze the disease burden of Noise-Induced Hearing Loss (NIHL) in China from 1990 to 2019, forecast the disease burden of NIHL from 2020 to 2030, and provide data support for the prevention and control of NIHL.Methods:In July 2022, the disease burden data of NIHL in different age groups and genders in China during 1990-2019 were selected from the GBD database. The Jointpoint regression model was established to analyze the trend of the disease burden of NIHL in China. An age-period-cohort model was constructed to analyze the changing trend of NIHL in terms of age, period, and cohort, and a Bayesian age-period-cohort model was developed to predict the disease burden of NIHL in China from 2020 to 2030.Results:From 1990 to 2019, the disability adjusted life year (DALY) of China's NIHL increased from 1361600 to 2327700 years. The coarse rate of DALY increased from 115.03/100000 to 163.65/100000 (AAPC=1.23, P<0.001), and the normalization rate of DALY decreased from 127.67/100000 to 119.83/100000 (AAPC=-0.21, P<0.001). It is predicted that from 2020 to 2030, the DALYs of China's NIHL will increase from 2412900 in 2020 to 2655000 in 2030, and the DALY normalization rate will decrease from 241.29/100000 in 2020 to 125.71/100000 in 2030. Conclusion:The burden of noise-induced hearing loss (NIHL) in China is significant and should not be overlooked. To reduce this burden, we need to focus on strengthening source management, process control, personal protection, and comprehensive prevention and treatment through various methods.