Objective To explore the correlation of MET status in patients with advanced prostatic acinar adenocarcinoma with the clinical pathological parameters and prognosis. Methods The specimen from 135 patients with advanced prostatic acinar adenocarcinoma was included. The expression of c-MET protein was detected via immunohistochemistry, and MET gene amplification was assessed by fluorescence in situ hybridization. The relationships of c-MET expression and gene amplification with clinicopathological features and prognosis were analyzed. Results The positive expression rate of c-MET was 52.60% (71/135). Compared with the c-MET expression in adjacent tissues, that in tumor tissues showed lower heterogeneous expression. Among the cases, 1.71% (2/117) exhibited MET gene polyploidy, but no gene amplification was detected. Positive c-MET expression was significantly correlated with high Gleason scores and grade groups (P=0.0073). However, no significant relationship was found between c-MET expression and progression-free survival or post-treatment t-PSA levels. Conclusion c-MET protein is expressed at a relatively low level in advanced prostatic acinar adenocarcinoma, suggesting that c-MET may not be a viable target for ADC drug development in prostatic acinar adenocarcinoma.

Objective To explore the safety and effects of alpha-lipoic acid (ALA) in patients with ischemic heart failure (IHF). Methods A randomized, double-blind, placebo-controlled trial was designed (ClinicalTrial.gov registration number NCT03491969). From January 2019 to January 2023, 300 patients with IHF were enrolled in four medical centers in China, and were randomly assigned at a 1∶1 ratio to receive ALA (600 mg daily) or placebo on top of standard care for 24 months. The primary outcome was the composite outcome of hospitalization for heart failure (HF) or all-cause mortality events. The second outcome included non-fatal myocardial infarction (MI), non-fatal stroke, changes of left ventricular ejection fraction (LVEF) and 6-minute walking distance (6MWD) from baseline to 24 months after randomization. Results Finally, 138 patients of the ALA group and 139 patients of the placebo group attained the primary outcome. Hospitalization for HF or all-cause mortality events occurred in 32 patients (23.2%) of the ALA group and in 40 patients (28.8%) of the placebo group (HR＝0.753, 95%CI 0.473-1.198, P＝0.231; Figure 1A-1C). The absolute risk reduction (ARR) was 5.6%, the relative risk reduction (RRR) associated with ALA therapy was approximately 19.4% compared to placebo, corresponding to a number needed to treat (NNT) of 18 patients to prevent one event. In the secondary outcome analysis, the composite outcome of the major adverse cardiovascular events (MACE) including the hospitalization for HF, all-cause mortality events, non-fatal MI or non-fatal stroke occurred in 35 patients (25.4%) in the ALA group and 47 patients (33.8%) in the placebo group (HR＝0.685, 95%CI 0.442-1.062, P＝0.091; Figure 1D). Moreover, greater improvement in LVEF (β＝3.20, 95%CI 1.14-5.23, P＝0.002) and 6MWD (β＝31.7, 95%CI 8.3-54.7, P＝0.008) from baseline to 24 months after randomization were observed in the ALA group as compared to the placebo group. There were no differences in adverse events between the study groups. Conclusions These results show potential long-term beneficial effects of adding ALA to IHF patients. ALA could significantly improve LVEF and 6MWD compared to the placebo group in IHF patients.

Objective By analyzing the causes of coding errors of lower extremity arteriosclerosis occlusion with throm-bosis and the endovascular intervention,explore the principle diagnosis and intervention coding rules to improve coding quality.Methods Inpatient medical records with the principle diagnosis codes of I70-I74 and I77 accompanied by endovascular interven-tional from January 1,2023 to December 31,2023 were retrieved from a tertiary hospital.A retrospective study was conducted to analyze the causes of coding errors.Results A total of 924 eligible cases were selected.There were 41 principle diagnosis cod-ing errors,with an error rate of 4.43％,among which the lower limb atherosclerosis coding had the highest error rate,accounting for 1.30％.There were 46 intervention coding errors,with an error rate of 4.98％,among which the percutaneous thrombectomy had the highest error rate.The main reason for coding errors was insufficient reading of medical record.Conclusion The coding error rate of the principle diagnosis of lower extremity arteriosclerosis occlusion and the endovascular intervention were relatively high.Therefore,it is necessary to continuously strengthen the training of clinicians and coders,including the coding rules and clinical knowledge of specialized disciplines,actively communicate between coders and clinicians,establish a quality control and assessment system,so as to improve the coding quality.

Objective To explore the status quo of domestic long-term care nursing team construction policy in January 2008—June 2024,analyze the favored direction and structure proportion of existing policy tools,so as to provide references for the follow-up policy and system optimization.Methods Based on McDonnell & Elmore policy tools and construction elements to two-dimensional analysis framework,the coding policy arrangement and quantitative analysis were conducted on the related policies of long-term care nursing team construction.Results Finally,63 policy documents were included,and the 355 pieces of policy were analyzed.In the policy instrument dimension,the proportions of mandate tools,incentive tools,capacity building tools,authority reorganization tools,and counseling tools were 48.45％,11.55％,5.35％,11.27％,and 23.38％,respectively.Team-building dimension in the post management,education training,rights management,post employment,professional development,respectively accounted for 27.04％,22.25％,11.27％,10.70％and 28.73％.Conclusion At present,there is uneven application of the policy tools related to nursing team building in the context of long-term care in China,and most of the entries are for goal planning.It is recommended that the ratio of the various policy tools should be optimised continuously,so as to ensure that the details of the policies are effectively implemented.The construction of the long-term care nursing team system needs to be improved,and the protection of the rights of nursing staff needs to be strengthened;specific,feasible,special and targeted strategies should be formulated.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective Based on Network pharmacology to explore the mechanism of Compound Danshen Dripping Pills in treating Psycho-cardiological disease.Methods To obtain the validated targets of the complete formulation of Compound Danshen Dripping Pills,data were sourced from databases including China National Knowledge Infrastructure,Wanfang,VIP,and PubMed.Additionally,genes associated with Psycho-cardiological disease were retrieved from the Genecards database.Utilizing the Digital Intelligence Traditional Chinese Medicine Innovation Platform,network proximity was calculated for the obtained targets and genes.The potential targets of Compound Danshen Dripping Pills in the treatment of Psycho-cardiological disease conduct enrichment analysis,trace the source of medicinal materials and effective components absorbed into the blood.Results Obtained 192 targets for the Compound Danshen Dripping Pills,1137 genes for Psycho-cardiological disease,and the network proximity calculation showed a significant correlation between the two(Z-score=-6.5282).The enrichment analysis of the 95 potential targets predominantly reveals their association with several key pathways,including AGE-RAGE signaling in diabetic complications,Lipid and atherosclerosis,fluid shear stress and atherosclerosis,the HIF-1 signaling pathway,TNF signaling.The traceability analysis indicates that 80 targets are associated with three distinct medicinal materials,10 targets are linked to two medicinal materials,and 5 targets are connected to a single medicinal material.95 targets are mainly related to 17 effective blood components such as salvianolic acid B,tanshinone ⅡA,and salvianolic acid A.The top 16 key genes were obtained by sorting the targets based on the Betweenness values corresponding to the blood components.The enrichment analysis of the key gene indicated that the treatment of Psycho-cardiological disease with Compound Danshen Dripping Pills is associated with the positive regulation of smooth muscle cell proliferation and the hypoxia response.Additionally,it is linked to the AGE-RAGE signaling pathway in diabetic complications,fluid shear stress and atherosclerosis,the relaxin signaling pathway,lipid and atherosclerosis,and the TNF signaling pathway,etc.Conclusion The Compound Danshen Dripping Pills may improve Psycho-cardiological disease by regulating inflammatory response,oxidative stress,myocardial ischemia,neuroprotection,and neurotoxicity inhibition through components such as salvianolic acid B,tanshinone ⅡA,tanshinone Ⅰ,salvianolic acid A,protocatechuic acid,etc.

This study examines the progress and application of Artificial Intelligence (AI) in the prevention and control of infectious diseases within Chinese healthcare institutions. It analyzes the difficulties and challenges encountered during implementation to promote the intelligent transformation and upgrading of infectious disease prevention and control. The results indicate that AI technology has made progress in areas such as infectious disease surveillance and early warning, risk assessment and emergency response, screening and detection, image-based diagnosis and analysis, and health management. Nevertheless, significant challenges remain, including limited application depth and breadth, issues with data quality and privacy protection, insufficient technological maturity and interpretability, potential legal risks, and a shortage of interdisciplinary professionals. To advance the application of AI technology in infectious disease prevention and control and support the modernization of China′s relevant systems, recommendations include strengthening policy support, establishing data standards and robust privacy protection mechanisms, increasing R&D investment, refining laws and regulations, and enhancing the training of interdisciplinary talent.

Cancer patients often experience worsening pain due to the limitations of traditional pharmacological treatments. This paper explores the innovative application of multi-agent systems in this field. As a key component of artificial intelligence, multi-agent systems assist healthcare providers in making intelligent decisions and interventions based on patients' conditions, and can collaborate with other smart devices to provide personalized care. This review discusses the concept of multi-agent systems, their application in pain management, and the potential challenges and countermeasures, aiming to provide guidance for the intelligent management of cancer patient pain.

The number of maintenance hemodialysis patients in China has been steadily increasing. With the continuous iteration of technological innovations, healthcare has entered a new phase of digital healthcare development. This paper summarizes the overview and development of digital healthcare and its application in patients with maintenance hemodialysis. It also discusses existing challenges and corresponding strategies, aiming to provide references for the development of digital healthcare in hemodialysis.

With the increasing abuse of antibiotics,the development of rapid,accurate and sensitive methods for antibiotic detection has become critical.Nucleic acid sensors as new biosensors have shown great potential in the field of antibiotic detection due to their high selectivity,high sensitivity and real-time monitoring ability.This paper reviews the research progress in antibiotic detection based on nucleic acid sensors,including colorimetric,optical and electrochemical nucleic acid sensors,in the hope of providing a reference for the research and development of new types of antibiotic detection technologies based on nucleic acid sensors.