Objective: To evaluate the effect of community comprehensive management model intervention among patients with dyslipidemia, so as to provide the reference for optimizing community management strategies and improving the target achievement rate for blood lipids among this population. Methods: From May to June 2023, a multi-stage stratified random sampling method was employed to select patients with dyslipidemia from primary healthcare institutions in Jiaxing City, Zhejiang Province. Eligible participants were randomly assigned to either a control group or an intervention group. The control group received routine management, while the intervention group was subjected to a community comprehensive management model in addition to the routine care. Both groups were followed up for 24 months. Data on demographic characteristics, lifestyle behaviors, physical examination indices, and blood biochemical indicators were collected at baseline and after the intervention through questionnaires, physical examinations, and laboratory tests. Changes in obesity rate, central obesity rate, target achievement rates for blood lipids, blood pressure, and blood glucose, as well as lifestyle modifications, were analyzed. Differences between the two groups before and after the intervention were assessed using generalized estimating equations (GEE). Results: The control group consisted of 560 patients, including 303 females (54.11%) and 430 individuals aged ≥65 years (76.79%). The intervention group also included 560 patients, with 300 females (53.57%) and 431 individuals aged ≥65 years (76.96%). Before the intervention, no statistically significant differences were observed between the two groups in terms of gender, age, educational level, history of chronic diseases, and atherosclerotic cardiovascular disease risk stratification (all P>0.05). After 24 months of intervention, interaction effects between group and time were observed for obesity rate, central obesity rate, target achievement rate for blood lipids, target achievement rate for blood glucose, composite target achievement rate, physical activity rate, and medication adherence (all P<0.05). Specifically, the intervention group demonstrated lower rates of obesity and central obesity, and higher target achievement rate of blood lipids, target achievement rate of blood glucose, composite target achievement rate, physical activity rate, and medication adherence compared to the control group. Conclusion The community comprehensive management model contributed to improvements in multiple metabolic parameters (including body weight, waist circumference, blood lipids, and blood glucose) among patients with dyslipidemia, and was associated with increased physical activity rate and medication adherence.

To conduct a bibliometric and keyword analysis on the domestic and international literature of medical artificial intelligence （AI） ethics， explore the research frontiers， hotspots， and development trends in this field， and provide references for promoting the construction of China’s ethical governance system on medical AI. Utilizing CiteSpace software， a comparative analysis was conducted between the reviewed domestic and international literature regarding their publication volume， author and institutional collaboration networks， as well as keyword co-occurrence， clustering， timeline graph， and burst， to explore the research hotspots and development trends in the field. A total of 2 393 Chinese and English publications were included. In recent years， research topics in medical AI ethics both domestically and internationally focused on three aspects， encompassing their theoretical research， emerging domains and their ethical risks， as well as the ethical governance and regulation of medical AI. International research hotspots included federated learning， computer-aided detection， informed consent， and other aspects， whereas domestic research hotspots were smart healthcare， responsibility ethics， ethical values， and other aspects. Internationally， greater attention was placed on ethical issues concerning population health and healthcare in the public health domain， whereas domestic research topics tended to focus more on theoretical discussions and the establishment of ethical principles. The ethical governance of medical AI represents a shared global challenge， necessitating enhanced research into both the variances and commonalities in this field.

The construction of a training system for visiting physicians in the department of rare diseases in China is an important measure to improve the overall diagnosis and treatment capacity for rare diseases and address the critical challenge of insufficient knowledge and skills among clinicians in practice. This article systematically describes the visiting physician training system established by the Department of Rare Diseases at Peking Union Medical College Hospital. It summarizes the training objectives and positioning, design logic, and learning modules of the system, aiming to provide a reference for the construction of the specialized talent team for rare diseases in China.

Acute kidney injury (AKI) is a prevalent and life-threatening clinical syndrome characterised by a rapid decline in renal function and diverse pathological etiologies. The condition has been demonstrated to be associated with elevated mortality rates and an increased risk of progression to chronic kidney disease. At present, clinicians depend heavily on conventional functional markers, such as serum creatinine and urine output, for the diagnosis and staging of the disease. It is evident that these conventional indicators characteristically manifest a considerable temporal delay and only undergo modification subsequent to considerable tissue damage. This severely restricts the timeframe for early detection and timely therapeutic intervention. Furthermore, standard markers fail to provide specific biological information regarding the underlying cellular injury mechanisms. The utilisation of advanced probe technologies in molecular imaging offers a robust alternative to overcome these inherent diagnostic limitations.This comprehensive review systematically evaluates recent progress in the design and application of two primary categories of molecular imaging tools for acute kidney disease, specifically reactive probes and enzyme-activated probes. Reactive probes are engineered to specifically interact with redox-active chemical species, including hydrogen peroxide, peroxynitrite, hypochlorous acid, and sulfur dioxide. Because oxidative stress constitutes a primary early event in acute renal tubular damage, these probes enable researchers and clinicians to visualize early cellular injury and radical accumulation well before global renal functional decline becomes evident. We discuss the application of these reactive probes across multiple imaging modalities including fluorescence imaging, magnetic resonance imaging (MRI), positron emission tomography (PET), and photoacoustic techniques. Photoacoustic imaging combines high spatial resolution with deep tissue penetration and has successfully demonstrated the ability to provide diagnostic alerts up to 12 h before any detectable rise in serum creatinine levels. Additionally, specific reactive probes have shown promising translational potential when tested by high-throughput screening in clinical human urine samples. Enzyme-activated probes target the specific catalytic activity of disease-relevant enzymes. These include well-documented renal tubular structural biomarkers such as NAG, GGT, and ALP, along with apoptosis-related caspases and specific nitroreductases. By responding only to enzymatic cleavage, these tools provide highly specific and pathology-directed imaging readouts. Recent structural design strategies in this field have advanced significantly beyond single-enzyme detection. Researchers are now focusing on sophisticated dual-target recognition to minimize background noise, multimodal integration to cross-validate imaging signals, and theranostic applications where probes simultaneously deliver diagnostic feedback and therapeutic agents to injured tissues. Nanotechnology serves as a fundamental enabler for realizing these advanced probe functions. By precisely optimizing nanoparticle parameters such as hydrodynamic size, surface charge, and targeting ligands, researchers can achieve amplified signal output, highly precise kidney delivery, and protection against premature degradation in the systemic circulation. For example, modifying surface charges can significantly enhance the active uptake of nanoprobes by damaged renal tubular epithelial cells.While preclinical probe development has progressed rapidly, moving these technologies into routine clinical practice remains a major challenge. We analyze the translational feasibility and current obstacles from biological, technological, and regulatory perspectives. Although biological targets such as KIM-1, FAP, and ALP have been validated in extensive patient cohorts, practical barriers severely limit their immediate clinical application. These obstacles involve complex changes in in vivo pharmacokinetics. During an acute injury episode, the extreme drop in the glomerular filtration rate alters probe clearance and can cause unwanted systemic accumulation or confusing background imaging signals. Other major hurdles include a lack of comprehensive long-term toxicity data and the absence of standardized manufacturing protocols to ensure batch-to-batch consistency. Future successful translation will require rigorous multi-center clinical studies to confirm the true diagnostic value of these probes over traditional markers. Researchers must also establish strict standardization of imaging procedures and comprehensive safety evaluations. Ultimately, this review provides a thorough reference framework for designing clinically translatable molecular probes and building a precision diagnostic imaging system for acute kidney injury.

Abstract Adolescents are a high risk group for non suicidal self injury (NSSI), and the severity of the issue has been increasing. However, stigma originating from self perceptions, the public, and healthcare professionals poses significant barriers to help seeking and recovery among adolescents with NSSI. The paper systematically reviews the main intervention strategies targeting NSSI related stigma in adolescents, along with their effectiveness, from three perspectives: educational approaches, contact based interventions, and public advocacy against stigma, aiming to inform the development of a scientific, effective, and multi stakeholder collaborative integrated intervention framework to provide a basis for reducing and ultimately eliminating stigma associated with adolescent NSSI.

The surgical management of empyema (excluding those caused by mycobacterium tuberculosis and non-tuberculous mycobacteria) is rapidly evolving towards minimally invasive, precise, and stepwise approaches. The traditional three-stage classification (exudative, fibrinopurulent, and organizing) has limitations in guiding dynamic clinical decision-making. For the first time, this consensus explicitly identifies two critical junctures in the pathological progression of empyema: "early transformation" (stage Ⅰ to Ⅱ) and "late transformation" (stage Ⅱ to Ⅲ), and thereby constructs a corresponding "identification-early warning-intervention" stepwise therapeutic framework. The consensus emphasizes that proactive debridement via video-assisted thoracoscopic surgery should be performed during the early transformation phase to halt disease progression. Conversely, during the late transformation phase, therapeutic goals should be rationally adjusted to prioritize adequate drainage, avoiding futile pleural decortication. Moreover, the consensus underscores the pivotal role of precise perioperative etiological diagnosis (e.g. metagenomic nest-generation sequencing) and standardized anti-infective therapy. Integrating practical experiences from multiple thoracic surgery centers in China and relevant evidence-based literature, this consensus formulates recommendations on the precise definitions of staging, surgical indications for each phase, key technical points, perioperative management, and training systems. It aims to promote the standardized and individualized surgical management of empyema, ultimately optimizing patient prognosis.

Abstract The health literacy level among the elderly in China remains at a low level. The 14th Five-Year Plan for Healthy Aging clearly points out that health literacy promotion projects should be implemented to improve the health literacy level among the elderly. The health literacy promotion strategies for the elderly require individual, social, policy and environmental supports. This article reviewed four types of health literacy promotion strategies for the elderly, including social strategies, lecture-based health education strategies, new media-based health communication strategies and environmental strategies. It also proposed that health education institutions, communities and other parties should work together, take advantage of digital technology and internet, and take various measures simultaneously to improve the health literacy of the elderly.

Objective Under the theory guidance of the Fuxingjue and the Tang-Ye-Jing-Fa map,this study aims to explore the common patterns and unique characteristics of five-flavor combinations in formulas for treating different syndromes of cough.Methods Chinese herbal formulas for cough treatment were collected from traditional Chinese medicine(TCM)clinical practice guidelines,consensuses,and textbooks,and their flavor combinations and distribution were clarified.Based on the theory of the Tang-Ye-Jing-Fa map regarding the five flavors for lung diseases(sour for tonifying,salty for purging,and pungent for transforming),the dominant flavors in each formula were statistically analyzed.Further classification was conducted according to the cold-heat properties and the amount of phlegm,and the characteristics and five-flavor combination patterns of formulas for different syndromes were analyzed.Results A total of 21 formulas for treating different syndromes of cough were statistically analyzed,among which 85.7%of the formulas had dominant flavors of"sour,salty,and pungent".For hot cough(9 formulas),sour was mainly used to tonify the lung and bitter to purge the heart(e.g.,Sangxing Tang and Qingjin Huatan Tang);for cold cough(4 formulas),pungent was mainly used to tonify the liver and warm yang(e.g.,San'ao Tang combined with Zhike San and Xiaoqinglong Tang);for cough with abundant phlegm(7 formulas),the focus was on using pungent to purge the spleen and eliminate dampness(e.g.,Erchen Tang combined with Sanzi Yangqin Tang);for cough with little or no phlegm(6 formulas),sour was used as the core to tonify the lung and nourish yin(e.g.,Sha Shen Mai Dong Tang).Conclusion From the perspective of the Tang-Ye-Jing-Fa map,the flavors of"sour,salty,and pungent"play an important role in the composition of formulas for treating cough.Although the five-flavor combinations of formulas for different syndromes of cough vary,they share common characteristics when classified according to cold-heat properties and phlegm amount.These findings provide a theoretical basis for optimizing the combination of Chinese herbal formulas for cough treatment by adjusting the proportion of the five flavors in clinical practice.

Objective To explore the role of cysteine aspartic protease-8(Caspase-8)/gasdermin E(GSDME)pathway in the regulation of macrophage pyroptosis in myocardial infarction(MI)rat model and its possible mechanism.Methods Thirty rats were randomly divided into sham operation group,MI group and Caspase-8 inhibition(Z-IETD-FMK)group,with 10 rats in each group.The cultured rat macrophages RMa-bm were divided into control group,hypoxia group and Z-IETD-FMK group.The pathological changes of myocardial tissue were detected by H&E staining.Masson staining was used to detect myocardial fibrosis.The protein and mRNA levels of Caspase-8 and GSDME in myocardial tissue and Caspase-8,GSDME,NLR family Pyrin domain protein 3(NLRP3),apoptosis-related speck-like protein(ASC)and Caspase-1 in macrophages were detected by RT-qPCR and Western blotting.The levels of IL-1β and IL-18 in macrophages were detected by ELISA.TUNEL staining was used to detect apoptosis of cardiomyocytes and macrophages.Results Compared with the sham operation group,myocardial tissue of rats in MI group was broken and disturbed,inflammatory cell infiltration,a large amount of collagen fiber deposition in the gap,cell apoptosis increased and the expression of Caspase-8,GSDME protein and mRNA in myocardial tissue increased,the differences were statistically significant(t=16.19,27.60;21.18,23.73,all P<0.05).Compared with MI group,Z-IETD-FMK group improved myocardial structural damage,reduced inflammatory cells and collagen deposition,cell apoptosis decreased and decreased Caspase-8,GSDME protein and mRNA expressions in myocardial tissue,with statistical significance(t=20.34,14.56;11.97,24.46,all P<0.05).Compared with the control group,the apoptosis of macrophages in hypoxia group was increased,and the protein and mRNA expressions of Caspase-8,GSDME,NLRP3,ASC,Caspase-1 in macrophages were increased(tprotein=17.53～120.90,tmRNA=18.42～60.30),the contents of IL-1β and IL-18 in macrophages were increased(t=25.88,45.74),and the differences were staistically significant(all P<0.05).Compared with the hypoxia group,the apoptosis of macrophages in Z-IETD-FMK group was decreased,and the protein and mRNA expressions of Caspase-8,GSDME,NLRP3,ASC,Caspase-1 in macrophages were decreased(tprotein=17.08～35.08,tmRNA=11.21～47.96),IL-1β and IL-18 content decreased(t=27.38,25.82),and the differences were staistically significant(all P<0.05),respectively.Conclusion Down-regulating Caspase-8/GSDME pathway can improve myocardial injury and hypoxic macrophage scorch death in MI rats.

The risk prediction approach integrating disease and syndrome aligns more precisely with the clinical diagnosis and treatment needs of osteoporosis.Prior research has established a consensus on the model development methodology encompassing"Target outcome selection→ Key information collection→ Data mining and modeling →Model performance evaluation".Building on this foundation,a cohort of osteoporosis patients and syndrome cases with stable follow-up is established.Utilizing artificial intelligence algorithms,critical information in traditional Chinese medicine(TCM)symptoms and syndromes is objectively characterized and quantified alongside imaging data.Employing multi-omics sequencing technology,we seek to identify highly specific microscopic molecular information,analyze potential correlations among various dimensions of information,and develop a multidimensional risk prediction model for osteoporosis with distinctive TCM attributes.This model aims to identify biomarkers with both"disease"and"syndrome"characteristics,thereby advancing the precision diagnosis and treatment system for osteoporosis.