BACKGROUND: Without timely and effective rehabilitation, hearing loss may profoundly affect human life quality. China has a large population of hearing-impaired individuals, which imposes a heavy health burden on society. Moreover, this population is projected to increase rapidly owing to China's aging society. METHODS: We used data from a population-representative epidemiological investigation of hearing loss and ear diseases in four Chinese provinces. We estimated the national prevalence using multiple linear regression of the age-group proportions and prevalence in 31 provinces with clustering analysis. We used years lived with disability (YLDs) to analyze the disease burden and forecasted the prevalence of hearing loss by 2060 in China. RESULTS: An estimated 115 million people had moderate-to-complete hearing loss in 2015 across the 31 provinces of China (8.4% of 1.37 billion people). Of these, 85.7% were older than age 50 years (99 million people) and 2.4% were younger than 20 years old (2.8 million people). Of all YLDs attributable to hearing loss, 68.9% were attributable to moderate-to-complete cases. By 2060, a projected 242 million people in China will have moderate-to-complete hearing loss, a 110.0% increase from 2015. CONCLUSIONS The hearing loss prevalence in China is high. Population aging and socioeconomic factors substantially affect the prevalence and severity of hearing loss and the disease burden. The prevalence and severity of hearing loss are unevenly distributed across different provinces. Future public health policies should take these trends and regional variations into account.
Humans ; China/epidemiology* ; Hearing Loss/epidemiology* ; Prevalence ; Middle Aged ; Male ; Female ; Adult ; Aged ; Adolescent ; Young Adult ; Child ; Child, Preschool ; Infant ; Aged, 80 and over ; Cost of Illness

The quality of drugs is a crucial premise for ensuring the safety and effectiveness of clinical medication, while quality control during the pharmaceutical process directly affects the quality and consistency of the final product formulation. However, there is a lack of a comprehensive and scientific system for assessing and optimizing the quality control level during the manufacturing process in the field of drug quality control. Therefore, this study proposed the concept of "pharmaceutical process omics", clarified its advantages in guiding drug production, and explored in depth the research approaches, diverse analytical techniques, and broad range of applications in drug quality control. In addition, this study anticipated the broad application prospects of pharmaceutical process omics in the field of drug quality control, aiming to provide a scientific basis for the development of pharmaceutical process quality control standards.
Quality Control ; Humans ; Drugs, Chinese Herbal/chemistry*

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Objective To investigate a novel stroke recurrence risk prediction model,which utilized radiomics machine learning methods and specifically combined carotid computed tomography angiography(CT A)with the Essen stroke risk score(ESRS).Methods A total of 136 patients who underwent carotid CT A were analyzed retrospectively.The features of carotid plaque were extrac-ted by machine learning to construct a radiomics feature model,as well as combined with ESRS.Based on clinical outcomes at one-year follow-up,the stroke recurrence risk prediction model was constructed using the logistic regression(LR)machine learning model.To construct an effective and robust model,the dataset was divided into a training set and a validation set in a ratio of 7∶3.The performance of this model was evaluated using area under the curve(AUC)of receiver operating characteristic(ROC)curve,sensi-tivity and specificity.Results The model had strong predictive value.In the training set,AUC,sensitivity and specificity of this model were 0.903,0.796 and 0.761,respectively.In the validation set,AUC,sensitivity and specificity of this model were 0.869,0.667 and 0.850,respectively.Conclusion The stroke recurrence risk prediction model constructed based on radiomics analysis of carotid plaque characteristics in carotid CTA,in combination with the ESRS,can provide reliable predictions for stroke prognosis.

Piperazines are a class of new psychoactive substances with hallucinogenic effects that af-fect the central nervous system by affecting the level of monoamine neurotransmitters.Abuse of pipera-zines will produce stimulating and hallucinogenic effects,accompanied by headache,dizziness,anxiety,insomnia,vomiting,chest pain,tachycardia,hypertension and other adverse reactions,and may even cause cardiovascular diseases and multiple organ failure and lead to death,seriously affecting human physical and mental health and public safety.The abuse of new psychoactive substance piperazines has attracted extensive attention from the international community.The study of its pharmacological toxi-cology and analytical methods has become a research hotspot in the field of forensic medicine.This paper reviews the in vivo processes,sample treatment and analytical methods of existing piperazines,in order to provide reference for forensic identification.

Hepatitis E is a globally distributed infection that varies in seroprevalence between developed and developing regions.In the less developed regions of Asia and Africa,a high seropositivity rate has been reported for hepatitis E virus(HEV)antibodies.Although acute hepatitis E is often self-limited and has a favorable prognosis,some populations experience severe manifestations,which may progress to liver failure.Moreover,some immunocompromised patients are at risk of developing chronic HEV infection and cirrhosis.Proactive screening,reducing misdiagnosis,improving patient management,timely anti-viral therapy for severe and chronic cases,and vaccination of high-risk groups are important measures to reduce the morbidity of hepatitis E.This review focused on the clinical presentation,management,and prevention of hepatitis E.

Objective To compare the categorical agreement between drug susceptibility testing(DST)and whole genome sequencing(WGS)for the detection of drug resistance in Mycobacterium tuberculosis(MTB),and to explore the characteristics of WGS for MTB drug resistance detection.Methods A total of 71 MTB clinical isolates retained in West China Hospital of Sichuan University from 2018 to 2020 were included in this study.The MTB strains were tested for resistance to 14 anti-tuberculosis drugs,including Isoniazid(INH),Rifampicin(RIF),Rifabutin(RFB),Ethambutol(EMB),Streptomycin(SM),Moxifloxacin(MFX),Ofloxacin(OFX),Levofloxacin(LFX),Amikacin(AMK),Kanamycin(KAN),Capreomycin(CPM),Para-aminosalicylic acid(PAS),Ethionamide(ETH)and Clofazimine(CLO),using both DST(colorimetric redox indicator meth-od)and WGS methods.Kappa test was performed to analyze the results of drug resistance detection for both methods.Results Based on DST and WGS methods to detect anti-tuberculosis drug resistance in seventy-one MTB clinical isolates,the results showed that the agreement rate of RIF,RFB,SM,MFX,OFX and LFX ex-ceeded 90.00％,and the kappa values were all greater than 0.80,with near perfect agreement;The agreement rates of INH and EMB were 84.51％and 81.69％,and Kappa values were 0.68 and 0.54,respectively,with fair agreement.No more than two drug resistant MTB strains of AMK and KAN were detected by both meth-ods,and the resistance rate was less than 3.00％.The agreement rates of CPM,ETH,PAS,and CLO ranged from 61.97％to 91.55％,and the Kappa values were less than 0.40,with slight or fair agreement.Conclusion There are differences in the ability of WGS to detect resistance to various anti-tuberculosis drugs,and it is more effective in detecting resistance to six anti-tuberculosis drugs,including RIF,RFB,SM,MFX,OFX and LFX,while there are still certain differences in detecting resistance to other anti-tuberculosis drugs compared with DST.It is necessary to further clarify the detailed resistance mechanisms of relevant anti-tu-berculosis drugs and to explore the standardization of WGS for drug resistance detection.

Objective To observe the intervention effect and mechanism of Chinese herbal compound(Zhenyuan Granules)on overweight in mice caused by estrogen deficiency.Methods An ovariectomized female mouse model was established to observe the effects of intragastric 14 week administration of Zhenyuan Granules on body mass and fat accumulation in mice.The 3T3-L1 mouse preadipocyte model was constructed to observe the effect of Zhenyuan Granules intervention on adipogenic differentiation.The expressions of key genes/proteins regulating adipocyte formation and fat synthesis in mouse adipose tissue and 3T3-L1 cells was detected to explore the mechanism of lipid-lowering effect of Zhenyuan Granules in vivo and in vitro.Results Zhenyuan Granules significantly decreased the body mass gain(P＜0.01),perigonadal and inguinal fat indexes(P＜0.05),significantly inhibited the differentiation of 3T3-L1 preadipocytes into mature adipocytes(P＜0.01),significantly downregulated the expression levels of transcription factors peroxisome proliferators activated receptor γ(PPARγ)and sterol-regulatory element binding protein 1c(SREBP-1c)and enzymes acetyl-CoA carboxylase 1(ACC1)and fatty acid synthase(FAS)in adipose tissue and 3T3-L1 preadipocytes(P＜0.05),significantly enhanced the phosphorylation of AMP-activated protein kinase(AMPK)and ACC1(P＜0.05).Conclusion Zhenyuan Granules can inhibit the formation of adipocytes and improve the overweight of female mice caused by estrogen deficiency.The mechanism is related to the activation of AMPK signaling pathway.It is suggested that Bushen Jianpi Chinese herbal compound Zhenyuan Granules is helpful for body mass control in postmenopausal women.