Objective To evaluate the advantages of powder-liquid double-chamber bag products compared with traditional powder injection. Methods The systematic review method was used to collect the literature on powder-liquid double-chamber bag, extract common evaluation indicators, evaluate the use value of powder-liquid double-chamber bag products, and conduct a comprehensive comparison with traditional powder injection products. Results A total of 23 articles were included in the literature. The effectiveness indicators used for evaluation were the stability of the liquid medicine, the accuracy of the preparation concentration, and the residual amount of the liquid medicine; the safety indicators were the incidence of insoluble particles and the incidence of punctures and scratches. The economic indicators were preparation cost, occupied volume of preparation supplies, waste weight, hospitalization cost and incidence of blood infection. The applicability indicators were preparation time, average occupation of medical staff, packaging weight and storage and transportation volume, environmental adaptability, and ease of waste disposal. Accessibility indicators are the number of manufacturers, raw material supply capacity, and patient affordability. Through the evaluation of literature evidence, it was found that the stability and concentration accuracy of the powder-liquid double-chamber bag were higher than those of the traditional powder injection, and the domestic supply had been achieved. The double-chamber bag method can reduce the infusion reaction and shorten the preparation time of the liquid medicine. Conclusion Compared with traditional powder injectabler products, powder-liquid double-chamber bags have advantages in the dimensions of effectiveness, safety, economy, suitability and innovation, and the accessibility dimension meets the requirements.

Objective : To construct a molecular classification system for head and neck squamous cell carcinoma (HNSCC) utilizing hypoxia-related gene (HAG) expression profiles, and to comprehensively examine the clinicopathological significance and biological functions of the hypoxia gene stanniocalcin 2 (STC2) in HNSCC. Methods : Transcriptomic data and clinical information of 546 HNSCC samples were obtained from The Cancer Genome Atlas (TCGA) database, and based on the expression profiles of 200 HRGs, HNSCC was classified subclasses using non-negative matrix factorization (NMF). HNSCC was classified into three subclasses (C1, C2, and C3), and the molecular characteristics and prognostic differences of the subclasses were assessed by comparing the tumor mutation load, functional enrichment analysis, drug sensitivity, and clinical features among the subclasses. LASSO-Cox regression was used to screen prognosis-related genes and construct prognostic models. Using oral squamous cell carcinoma (OSCC)-related data in the TCGA database, we analyzed the expression differences of STC2 in OSCC and control samples, and detected the mRNA and protein expression of STC2 in oral squamous carcinoma samples using qRT-PCR and immunohistochemistry. We knocked down STC2 in CAL-27 cells and verified the knockdown efficiency by qRT-PCR and Western blot. CCK-8 assay and cell scratch assay were used to assess the effect of STC2 on cell proliferation and migration ability. Results: Based on HRGs expression profiles, HNSCC was categorized into three subclasses (C1, C2, and C3). Subclass C1 had moderate hypoxic activity and good prognosis; subclass C2 had the highest hypoxic activity, poor prognosis, and poor sensitivity to CTLA-4 inhibitors (P<0.05); subclass C3 had the lowest hypoxic activity and moderate prognosis, and STC2 belonged to subclass C3. The frequency of cyclin-dependent kinase inhibitor 2A (CDKN2A), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), and tumor protein p53 (TP 53) mutations was higher in HNSCC. C1 genomic gain and deletion burden were significantly higher than C3 subclass (P<0.05) and C2 genomic gain than C3 subclass (P<0.05). The C2 subclass was significantly enriched in hypoxia-associated pathways, such as glycine metabolism and base excision repair (P<0.05). The C1, C2, and C3 subclasses were significantly positively correlated in terms of sex (male) (Cramer’s V=0.15), radiation exposure (Cramer’s V=0.12), medication (Cramer’s V=0.18), and pathological grading (G1/G2) (Cramer’s V=0.25) (P<0.05). Nine prognosis-related genes were screened by LASSO-Cox regression, among which high expression of STC2 was positively correlated with poorer overall survival (OS) in HNSCC patients (P<0.01). Bioinformatics analysis showed that STC2 mRNA expression was higher in OSCC than in normal controls (P<0.05). qRT-PCR and immunohistochemistry confirmed that both mRNA and protein expression of STC2 were significantly upregulated in OSCC tissues and cells (P<0.01). In vitro experiments showed that STC2 expression was knocked down to approximately 80% in CAL-27 cells (P<0.001), and the STC2 knockdown group had a reduced value-added rate (P<0.001) and a reduced percentage of scratch closure (P<0.05) compared with the control group. Conclusion We successfully constructed a molecular typing system for HNSCC based on the expression profiles of HRGs and categorized HNSCC into three subclasses with significant prognostic differences, among which the C2 subclass had the highest hypoxic activity and the poorest prognosis. STC2 was highly expressed in HNSCC and suggested a poor prognosis, demonstrating that it may be a potential target for HNSCC treatment.

INTRODUCTION: Obstructive sleep apnoea (OSA) is common in Singapore, with moderate to severe OSA affecting around 30% of residents. These consensus statements aim to provide scientifically grounded recommendations for the management of OSA, standar-dise the management of OSA in Singapore and promote multidisciplinary collaboration. METHOD: An expert panel, which was convened in 2024, identified several areas of OSA management that require guidance. The expert panel reviewed the current literature and developed consensus statements, which were later independently voted on using a 3-point Likert scale (agree, neutral or disagree). Consensus (total ratings of agree and neutral) was set a priori at ≥80% agreement. Any statement not reaching consensus was excluded. RESULTS: The final consensus included 49 statements that provide guidance on the screening, diagnosis and management of adults with OSA. Additionally, 23 statements on the screening, diagnosis and management of paediatric OSA achieved consensus. These 72 consensus statements considered not only the latest clinical evidence but also the benefits and harms, resource implications, feasibility, acceptability and equity impact of the recommendations. CONCLUSION The statements presented in this paper aim to guide clinicians based on the most updated evidence and collective expert opinion from sleep specialists in Singapore. These recommendations should augment clinical judgement rather than replace it. Management decisions should be individualised, taking into account the patient's clinical characteristics, as well as patient and caregiver concerns and preferences.
Humans ; Sleep Apnea, Obstructive/diagnosis* ; Singapore ; Consensus ; Adult

Objective To analyze the prevalence status of cardiometabolic risk factor (CMRF) and its aggregation among workers engaged in new forms of employment. Methods A total of 5 429 new employment workers (including couriers, online food delivery workers, and ride hailing drivers) who underwent health medical examinations at a tertiary hospital in Beijing City were selected as the research subjects using the judgment sampling method. Data on waist circumference, blood pressure, blood glucose, and blood lipid levels were collected to analyze their CMRF [central obesity, elevated blood pressure, elevated blood glucose, elevated triglycerides, and reduced high-density lipoprotein cholesterol (HDL-C)] and their aggregation (with ≥ 2 of the above 5 risk factors) status. Results The detection rates of central obesity, elevated blood pressure, elevated blood glucose, elevated triglycerides, and reduced HDL-C were 61.2%, 38.2%, 29.5%, 40.9% and 22.6%, respectively. The detection rates of CMRF aggregation was 57.8%. The result of multivariable logistic regression analysis showed that male, age ≥45 years, smoking, overweight, and obesity were risk factors for CMRF aggregation (all P<0.05). Conclusion The detection rate of CMRF and its aggregation among workers with new forms of employment in Beijing City is relatively high. Targeted prevention and control efforts should be strengthened for high-risk populations, especially males, workers aged ≥45 years, smokers, and those who are overweight or obese.

Dysregulation of immune response is currently recognized as one of the important pathological factors in ulcerative colitis (UC). Based on the confirmation that the Sini San (SNS) can significantly improve the colon inflammation induced by dextran sulfate sodium sulfate (DSS) in mice, the present work systematically studied the xenobiotics in the colon and mesenteric lymph nodes, spleen, and thymus of UC mice after administration of SNS by high-performance liquid chromatography-ion trap time-of-flight mass spectrometry (HPLC-IT-TOF-MS). The results showed that, in addition to the colon, some components and their metabolites in SNS could be distributed in immune tissues, and it was found that the quality of relatively low-abundance and weakly responsive components such as saikosaponin a, paeoniflorin, and glycyrrhizic acid had the characteristics of efficient transmission to the colon and lymphoid organs. These components were very likely to be the source of pharmacodynamic substances of SNS. The findings of this study lay a foundation for the study of the efficacy and molecular mechanism of the components against ulcerative colitis, and also provide a scientific basis for the rational clinical application of SNS, which is expected to promote the secondary development of its preparations.

The theory of the "Three Phases of moxibustion sensation", originating from ZHOU Meisheng's Moxibustion Cord, summarizes the clinical transmission process of moxibustion sensation into three phases: initial sensation, diffusion, and conduction. Inspired by this theory, the authors analyze factors affecting moxibustion sensation-including moxibustion temperature, location, dose, and technique-and summarize its guiding role in clinical practice. It is proposed that in clinical application, the generation pattern of the initial sensation phase can be used to judge the immediate efficacy of moxibustion and adjust treatment locations accordingly; the diffusion pattern of the diffusion phase can help assess individual moxibustion dose to ensure optimal therapeutic effects; and the conduction phase not only indicates the endpoint of moxibustion therapy but can also reveal hidden lesions and deeper pathological causes in patients. In addition, due to differences in patient constitution and disease state, the manifestation of moxibustion sensation may not always strictly follow the pattern of the "Three Phases", requiring careful clinical differentiation.
Moxibustion/methods* ; Humans ; Sensation ; Acupuncture Points

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis