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.

Objective: To investigate the clinical efficacy of transurethral 450 nm blue laser vaporization of prostate (BVP) and transurethral plasmakinetic resection of the prostate (PKRP) in the treatment of frail elderly patients with benign prostatic hyperplasia (BPH). Methods: A retrospective analysis was conducted on the clinical data of 62 frail elderly BPH patients undergoing BVP (n=32) or PKRP (n=30) in our hospital during Jan.2023 and Jun.2024.The two groups were compared in terms of postoperative hemoglobin drop, operation time, hospital stay, catheter indwelling time, bladder irrigation time, preoperative and postoperative 3-month postvoid residual (PVR), maximum urinary flow rate (Qmax), international prostate symptom score (IPSS), quality of life score (QoL), and postoperative complications. Results: The postoperative hemoglobin drop was lower in the BVP group than in the PKRP group [(1.62±1.04) g/L vs.(7.37±2.37) g/L, P＜0.001].The operation time [(24.53±7.52) min vs. (47.77±11.12) min], hospital stay [(2.78±1.62) d vs. (8.13±0.82) d], catheter indwelling time [(1.84±0.99) d vs. (5.40±0.81) d], and bladder irrigation time [(7.37±2.35) h vs. (51.60±19.72) h] were significantly shorter in the BVP group than in the PKRP group (all P＜0.001).At 3 months postoperatively, both groups showed significant improvements in IPSS, QoL, Qmax, and PVR compared to preoperative levels (P＜0.05), but there were no significant differences between the two groups (P>0.05).The overall incidence of early postoperative complications in the BVP group was lower than that in PKRP group (18.75% vs. 43.33%, P＜0.05).After 3 months of follow-up, there was no significant difference in the incidence of complications between the BVP group and PKRP group(3.13% vs. 13.33%, P=0.14). Conclusion: BVP for the treatment of frail elderly BPH patients is safe and reliable, associated with minimal bleeding, short operation time, catheterization time and hospital stay, and there is no need to discontinue anticoagulant drugs.

Objective To explore the effects of exosomes loaded with ginsenoside Rh2 on the biological functions of hepatocellular carcinoma cells. Methods Both Huh7 and PLC/PRF/5 cell were equally divided into control group, exosome group (Exos group), drug group (G-Rh2 group), and exosomes-loaded-with-ginsenoside Rh2 group (Exos@G-Rh2 group). The effects of each group on the viability, clonogenic ability, migration ability, invasion ability, and apoptotic level of hepatocellular carcinoma cells were detected through CCK-8 assay, colony formation assay, cell scratch assay, Transwell assay, and flow cytometry. Results Compared with the control group, the Exos@G-Rh2 group and G-Rh2 group showed significantly decreased cell viability, clonogenic ability, and migration and invasion capabilities, along with a markedly increased cell apoptosis rate (P<0.05). These changes were more pronounced in the Exos@G-Rh2 group than in the G-Rh2 group (P<0.05). Conclusion Exos@G-Rh2 can effectively inhibit the viability and clonogenic, migration, and invasion abilities of liver cancer cells and induce cell apoptosis. This effect is stronger than that of free G-Rh2 at the same concentration.

Objective Logistic regression model was used to analyze the risk factors of liver cancer in patients with hepatitis B virus-related cirrhosis. Methods A retrospective analysis was performed on 504 patients with hepatitis B cirrhosis who were treated in a hospital from April 2021 to April 2024. The occurrence of liver cancer was counted. The risk factors of liver cancer in patients with HBV-related cirrhosis were analyzed by logistic regression analysis. Results Among the 504 patients with hepatitis B cirrhosis, 101 patients developed liver cancer and 403 patients did not develop liver cancer, which were included in the liver cancer group (n=101) and the non-liver cancer group (n=403).. Among hepatitis B cirrhosis, the incidence rate of liver cancer was 20.04%. Compared with the non-liver cancer group, the proportion of patients with long-term drinking history, family history of liver cancer, history of diabetes mellitus, antiviral therapy, and HBV-DNA load>104 were higher in the liver cancer group (P<0.05). logistic regression analysis found that long-term drinking history (OR=3.077, 95%CI: 1.130-8.378, P=0.028), history of diabetes mellitus (OR=3.747, 95%CI: 1.765-7.954, P=0.001), no antiviral therapy (OR=3.466, 95%CI: 1.337-8.985, P=0.011) and HBV-DNA load>104 (OR=3.149, 95%CI: 1.353-7.328, P=0.008) could independently affect the occurrence of liver cancer in patients with hepatitis B cirrhosis. Conclusion According to logistic regression analysis, long-term drinking history, history of diabetes mellitus, no antiviral therapy, and HBV-DNA load>104 are risk factors for liver cancer in patients with HBV-related cirrhosis.

Objective: To investigate the association between screen time (ST) during leisure time and anxiety-depression symptoms among middle school students, so as to provide a basis for formulating relevant intervention measures. Methods: From November to December 2023, a stratified cluster random sampling method was used to select 2 542 students from junior and senior high school in Taiyuan City. A self designed questionnaire, the Generalized Anxiety Disorder Scale (GAD-7), and the Patient Health Questionnaire (PHQ-9) were used to investigate ST and anxiety/depression symptoms among middle school students. The Logistic regression model was used to explore the association of ST with symptoms of anxiety and depression, as well as with anxiety and depression comorbiditles (CAD). Results: The detection rates of anxiety symptoms, depression symptoms, and CAD were 13.69%, 15.77%, and 10.11%, respectively. The median ST was 2.00 h/d [interquartile range ( IQR =2.38) for weekly averages], with 0.33 h/d ( IQR =1.67) on work days and 5.00 h/d ( IQR=5.50) on rest days. Logistic regression analysis indicated that the total ST of mobile phones during rest days ( OR =1.07, 1.10, 1.11) and the averages ST of mobile phones over a week ( OR = 1.20 , 1.22, 1.29), as well as the total ST of all screen types during rest days ( OR =1.04, 1.04, 1.05) and the averages ST of all screen types over a week ( OR =1.08, 1.09, 1.21) were positively correlated with anxiety symptoms, depression symptoms, and CAD (all P <0.01). Conclusions Among middle school students in Taiyuan City, screen time is positively correlated with symptoms of anxiety or depression and the comorbidity of anxiety and depression, especially smartphone screen time and weekend screen use. Therefore, measures should be implemented to reduce unnecessary screen time among middle school students, especially the use of mobile phones, in order to mitigate the occurrence of anxiety and depression.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

The Compilation Instructions for Expert Consensus on Clinical Application of Dieda Huoxue capsules systematically expound the development methods and evidence-based basis of this consensus. In view of the weak clinical application evidence and ambiguous indications of Dieda Huoxue capsules， the Institute of Basic Research in Clinical Medicine of the China Academy of Chinese Medical Sciences and Wangjing Hospital took the lead and collaborated with 33 experts from 28 medical institutions nationwide. They strictly followed the World Health Organization （WHO） guideline-making norms and the Grading of Recommendations Assessment， Development and Evaluations （GRADE） evidence-grading system and completed the compilation through multidisciplinary cooperation. The workflow included constructing clinical questions （19 items were screened by the nominal group technique）， retrieving evidence （from Chinese and English databases and grey literature）， assessing safety （integrating drug monitoring data and clinical investigations）， and forming recommendations and consensus suggestions （3 recommendations were reached via the GRADE grid method， and 16 consensus suggestions were reached by the majority vote rule）. The results indicate that the consensus clearly states that this medicine （Dieda Huoxue capsules） is applicable to conditions like traumatic injury， blood stasis-induced pain， and sudden lumbar sprains. The recommended dose is 6 capsules each time， twice a day. Combining oral administration with external application can enhance the efficacy， and elderly patients should take the medicine at intervals. Safety monitoring suggests that it should be used with caution in people with a bleeding tendency and those with an allergic constitution. The compilation process involved three rounds of reviews by internal and external experts. Literature analysis， the Delphi method， and clinical applicability tests were employed to ensure methodological rigor. The compilation instructions comprehensively present key aspects such as project approval and registration， conflict-of-interest statements， and evidence evaluation through 12 appendices， providing methodological support for the clinical translation of the consensus. In the future， it will be continuously improved through a dynamic revision mechanism.

Objective: To explore the laboratory testing methods and clinical management strategies for immune hemolytic anemia induced by Ceftizoxime sodium drug-dependent antibodies. Methods: Patient blood samples were subjected to blood typing, direct antiglobulin test, and unexpected antibody identification. Ceftizoxime sodium drug-dependent antibodies were detected using the immune complex method and drug-sensitized red cell method. The properties and titers of the drug antibodies were further assessed. Flow cytometry was used to assess the complement activation capacity of the drug antibodies in vitro. Results: Direct antiglobulin tests (IgG and C3d) were positive. Ceftizoxime sodium drug-dependent antibodies were identified using both the immune complex method and the sensitized red cell method, their titers significantly increased following the addition of the drug. Flow cytometry confirmed the complement activation capability of these antibodies and identified 30 minutes as the optimal time for activation in vitro. The patient's condition improved rapidly after drug withdrawal and supportive transfusion, resulting in a favorable outcome. Conclusion: Ceftizoxime sodium can cause drug-induced immune hemolytic anemia via complement activation mediated by drug-dependent antibodies. Serological testing is essential for diagnosing drug-induced hemolytic anemia. Clinicians should be vigilant for this adverse reaction. The offending drug must be promptly discontinued, and supportive care should be initiated upon the onset of symptoms.