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 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.

Objective To explore the severity of loneliness among the elderly in communities in Shanghai,and to identify factors associated with social and emotional loneliness respectively.Methods A cross-sectional study was conducted in older adults aged 65 years or above in Pudong New Area,Jing'an District and Huangpu District in Shanghai from Mar to Jun 2021.In Pudong New Area,multi-stage stratified random sampling was conducted based on the age and gender distribution of Shanghai,while in Huangpu District and Jing'an District convenience sampling was conducted.A total of 635 samples were included in the study.Loneliness was assessed using the De Jong Gierveld Loneliness Scale with social and emotional loneliness subscales.Logistic regression analyses were conducted to identify factors associated with social and emotional loneliness.Results Among the 635 participants,only 53 older adults(8.4%)were not lonely.Female(OR=0.46,95%CI:0.31-0.70),higher self-efficacy(OR=0.97,95%CI:0.94-1.00),more objective social support(OR=0.96,95%CI:0.93-0.99)were associated with less severe social loneliness.Meanwhile,higher level of education(secondary education,OR=0.56,95%CI:0.34-0.95;college or above,OR=0.30,95%CI:0.11-0.83)and higher self-efficacy(OR=0.96,95%CI:0.93-0.99)were associated with less severe emotional loneliness,while depression(OR=3.41,95%CI:1.76-6.60)and worse social capital(OR=2.02,95%CI:1.29-3.16)were associated with more severe emotional loneliness.Conclusion Up to 91.6%of the elderly in our study sample were moderately lonely or above.The factors associated with social loneliness include self-efficacy,gender and social support.The factors associated with emotional loneliness are self-efficacy,education level,depression,and social capital.

Objective: To construct an evaluation index system of oral health literacy for children's parents, so as to provide an index system for the evaluation of oral health literacy for children's parents in China. Methods: The evaluation index system of oral health literacy for children's parents was designed based on literature review and semi-structured interview. Experts from oral prevention and pediatric oral medicine were invited to participate in two-round Delphi consultations. The indicators were scored and screened according to the importance, and the weight determined using analytic hierarchy process. The effectiveness of the consultation was evaluated by positive coefficient, authority coefficient and coordination coefficient. Results: Twenty-four experts participated in the consultation, including 6 males and 18 females. There were 21 experts with a master degree, 3 experts with a doctor degree, and 20 experts with vice senior professional titles and above. The recovery rates of the two rounds of consultations were 96.00% and 100.00%, the authority coefficients were 0.866 and 0.917, the Kendall's coefficient of concordance were 0.120 and 0.156 (both P<0.05), and the coefficient of variation was 0.15-0.38 and 0.03-0.17, respectively. The final evaluation index system included 3 primary indicators, 11 secondary indicators and 40 tertiary indicators. The primary indicators were basic knowledge and concepts related to oral health, promoting lifestyle and behaviors related to oral health, and maintaining basic skills related to oral health. Conclusion The evaluation index system of oral health literacy for children's parents has been established in this study and needs to be further applied and evaluated.

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.

Objective To detect the expression of acrosin binding protein(ACRBP)in serum and tumor tissue of patients with epithelial ovarian cancer(EOC),and to investigate the relationship between the expres-sion of acrosin binding protein(ACRBP)in serum and tumor tissue of patients with epithelial ovarian cancer(EOC)and first-line chemotherapy effect and prognosis.Methods The expression and prognostic effects of ACRBP mRNA in OC were analyzed using data obtained from Gene Expression Profiling Interactive Analysis Database.Then,tissue specimens and serum samples were collected from 95 patients with EOC who under-went surgery at the hospital between October 2019 and December 2021.In addition,30 samples of ovarian be-nign tumor tissue were selected as the benign tumor control group and 30 serum samples from healthy volun-teers were selected as the normal control group.The expression of ACRBP was detected by immunohisto-chemical staining.After first-line chemotherapy was completed,solid tumor efficacy evaluation criteria version 1.1 was used to evaluate chemotherapy effects,and the patients were divided into sensitive group and drug-re-sistant group.The sensitive group included complete response(CR)and partial response(PR)patients,and the drug-resistant group included stable disease(SD)and progressive disease(PD)patients.Results In the public database,ACRBP mRNA expression was significantly increased in OC patients(P＜0.05),and its high expression was associated with poor overall survival(OS).In clinical samples,ACRBP was mainly expressed in the cytoplasm of EOC tumor cells,while no ACRBP was detected in the ovarian tissues of benign tumor control group.The expression of ACRBP in first-line chemotherapy resistant group was significantly higher than that in sensitive group,and the difference was statistically significant(P＜0.001).The area under receiv-er operating characteristic(ROC)curve of ACRBP expression for predicting first-line chemotherapy resistance was 0.830(95％CI:0.743-0.916),the cut off value was 8.65 points,and the sensitivity and the specificity were 80.0％and 77.1％,respectively.High expression of ACRBP was an independent risk factor for the prog-nosis of OS and PFS in patients with EOC(P＜0.05).According to the median expression of ACRBP,pa-tients with EOC were divided into low ACRBP expression group(＜8.27 points)and high ACRBP expression group(≥8.27 points).The OS and progression-free survival(PFS)of patients with high expression of ACRBP were significantly shorter(P＜0.05).Conclusion High expression of ACRBP in EOC patients is closely related to first-line chemotherapy resistance and poor prognosis.ACRBP has the potential to be a new biomarker for the prediction of first-line chemotherapy effect and prognosis.

Objective To compare the ultrasound signs of symptomatic joint lesions in rheumatoid arthritis (RA) and gouty arthritis (GA), musculoskeletal ultrasound (MSUS) was utilized.Methods A retrospective analysis was performed for 85 hospitalized patients with RA and 55 hospitalized patients with GA in the same period, and the differences in general data, diseased joints and ultrasound signs between the two groups were compared.Re-sults The gender, age and diseased joints of the two groups were statistically significant (all P<0.05).The de-tection rate of knee joint lesions was the highest;the RA group had high sensitivity, high specificity of meniscal in-jury, and high diagnostic efficiency of bone erosion, while the diagnostic performance of the three combined ultra-sound signs of punctate strong echo, double track sign and tophi in the GA group was higher than that of any indi-vidual diagnosis, and the sensitivity and specificity were also higher.The course of disease in the RA group was positively correlated with bone erosion (P<0.05) , and the course in the GA group was positively correlated with tophi (P<0.05).Conclusion The ultrasound signs of RA and GA are different, and MSUS has good value in the diagnosis and differential diagnosis of the two.

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 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.

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.