Objective To investigate the status of management of iodinated contrast media(ICM)extravasation in Henan Province,as well as nurses' knowledge and influencing factors,in order to provide a basis for optimizing management strategies.Methods A self-designed questionnaire was applied,employing convenience sampling,to survey nursing administrators and nurses in the radiology departments of 55 tertiary hospitals across 16 regions of Henan Province,from December 2024 to January 2025.Multiple linear regression analysis was conducted to explore the factors influencing nurses' knowledge.Results A total of 55 nursing administrators and 64 nurses participated,with a valid questionnaire response rate of 100％.The survey results reveal that only 5.45％of radiology depart-ments utilized high-pressure central venous catheters,and 32.73％employed vascular visualization techniques.When setting the high-pressure injection speed for ICM,only 54.55％of radiology departments required an assessment of the type and model of intravenous access.Additionally,only 9.09％of radiology departments mandated an observa-tion for 2 to 4 hours following ICM extravasation.Furthermore,only 50.91％of radiology departments had estab-lished an information system for ICM use.The nurses' knowledge score regarding the prevention and management of ICM extravasation was(90.00±17.59),influenced by years of experience in radiology and professional titles(P＜0.05).Conclusion The prevention and management measures for ICM in radiology departments in Henan Province need further improvement.Nursing administrators should optimize management strategies,improve relevant training systems,and continuously enhance nurses' knowledge and practical abilities.

Objective To clarify the evidence of the frequency and risk factors for falls in knee osteoarthritis(KOA)of adults by meta-analysis.Methods Computerized searches of the CNKI,VIP,Wanfang data,CBM,PubMed,Cochrane Library,Embase,Web of Science were conducted for literature on risk factors for falls in adults with KOA from the inception of the databases to August 2024.After literature screening,data extraction,and quality evaluation,RevMan 5.4 software was used for Meta-analysis.Results A total of 26 articles were involved.Meta-analysis result showed that the rate of falls was 29.0％.Factors associated with increased risk of falls included being female(OR=1.35),decreased lower limb muscle strength(OR=1.72),decreased knee flexion muscle strength(OR=7.05),decreased static posture stability(OR=1.28),opioid use(OR=1.79),antidepressant use(OR=1.69),frequent stair climbing(OR=7.58),combined neurological disease(OR=1.77),history of falls(OR=3.29)and fear of falling(OR=2.54).Conclusion The rate of falls of patients with KOA is high.The adults with KOA who are women,have lower muscle strength of lower limbs and knee flexion muscle strength,poorer static posture stability,use opioids,antidepressant,frequent stair climbing,combined neurological disorders,previous falls in the past year and fear of falls are at higher risk of falls.Healthcare professionals should dynamically assess and detect the risk of falls in the patients with KOA and adopt targeted,individualized interventions to prevent falls.

ObjectiveTo investigate the awareness and clinical practice of guidelines for the prevention and treatment of chronic hepatitis B （2022 edition） among clinicians. MethodsFrom July 19 to December 31， 2024， a self-designed electronic questionnaire was distributed via the WeChat mini program to collect related data from 1 588 clinicians nationwide， including their awareness and practice based on 18 questions regarding testing and referral， diagnosis and treatment， and follow-up. ResultsAmong all respondents， only 350 clinicians correctly understood all the updated key points of antiviral indications and treatment for special populations in the 2022 edition of guidelines for the prevention and treatment of chronic hepatitis B， with an overall awareness rate of 22.0%. Only 20% ‍—‍ ‍40% of the patients with positive HBV DNA and an age of >30 years receive antiviral therapy， while 80% ‍—‍ ‍100% of the patients with positive HBV DNA and a family history of hepatitis B cirrhosis or hepatocellular carcinoma receive antiviral therapy. The median follow-up rates at 1 year， 3 years， and 5 years were 67.5% 57.5% and 47.5%，respectively， showing a trend of gradual reduction， which might be associated with the influencing factors such as insufficient time for follow-up management by clinicians， insufficient awareness of the disease among patients， and poor adherence to follow-up. ConclusionThere is a gap between the awareness and practice of guidelines for the prevention and treatment of chronic hepatitis B （2022 edition） among clinicians. It is recommended to further strengthen training and focus on the whole process of “detection， diagnosis， treatment， and management” for patients with chronic hepatitis B in healthcare institutions， in order to promote the implementation of the guidelines.

Lenticules are derivative biomaterials obtained from femtosecond laser small incision lenticule extraction(SMILE). Compared to other corneal tissues, they are readily available and exhibit biomechanical properties similar to donor corneas, and have been widely used in clinical treatments. Studies have confirmed that lenticules has a significant effect on various eye diseases such as presbyopia, hyperopia, advanced keratoconus, pellucid marginal degeneration, corneal ulcer and perforation. For cases where immediate lenticule transplantation is unfeasible, establishing effective lenticule preservation systems is critically essential. The current mainstream preservation techniques include cryopreservation combined with media, medium preservation, decellularization preservation, nutritive capsule, and exsiccation, among others. To alleviate the shortage of corneal donors and expand their therapeutic applications in ocular diseases, this review comprehensively summarizes existing preservation technologies for corneal stromal lenticules and synthesizes recent advances in their clinical utilization.

In recent years， the exploration and development of artificial intelligence （AI） technology in clinical trials for liver diseases have promoted the continuous innovation of research methods and processes in this field. AI has gradually become an important technical tool for various links of clinical trial including patient selection， risk stratification， endpoint evaluation， and result interpretation. Nevertheless， the standardized integration of AI into clinical trials still faces the methodological challenges such as data quality control， model interpretability， and causal inference. From the perspective of methodology， this article systematically reviews the principal application scenarios of AI as an object under investigation （validation trials） and as a research tool （supportive trials） in clinical trials for liver diseases， as well as the major methodological challenges of AI-related clinical trials along and the corresponding solution strategies， in order to provide methodological guidance for promoting the scientific and standardized implementation of AI technologies.

Hepatitis B virus (HBV) infection represents a significant global health challenge. Current therapeutic options, such as interferon and nucleoside analogues (NAs), are limited by issues including long-term medication toxicity, the virus's propensity to develop drug resistance, and the inability to eradicate covalently closed circular DNA (cccDNA). Core protein allosteric modulators (CpAMs), as an emerging class of anti-HBV drugs, target HBcAg to interfere with capsid assembly. This not only blocks viral nucleocapsid formation and inhibits viral replication but also indirectly destabilizes the cccDNA pool, while exhibiting a relatively high genetic barrier to resistance. This article systematically evaluates HBV drug resistance to CpAMs and proposes anti-resistance strategies, including the combination of nucleoside analogues with CpAMs, enhancing protein-drug interactions, targeting HBcAg degradation, designing multi-target inhibitors, and employing combination therapy. Looking ahead, the integration of structural biology, computational chemistry, and immunotherapy will offer innovative approaches for developing novel, highly effective, and low-resistance inhibitors, thereby advancing the functional cure of hepatitis B.

Objective : To explore the relationship between single nucleotide polymorphisms ( SNPs) in D-loop region of mitochondrial DNA ( mtDNA) and mtDNA copy number and the risk of dermatomyositis ( DM) ，and its in- fluencing factors． Methods : 74 patients with DM and 92 healthy controls were included in the study． Genomic DNA was extracted from peripheral blood and the target fragment of mtDNA D-loop region was amplified by PCR technique，and the products were subsequently sequenced．Serum levels of ROS were assessed using a high-sensi- tivity reactive oxygen species detection kit．The expression levels of cytokines，interleukin ( IL) -5，IL-13，inter- feron-γ ( IFN-γ) ，IL-2，IL-6，IL-10，tumor necrosis factor-α ( TNF-α) and IL-4 were measured using Flow Fluo- rescence Immunmicrobeads Assay．Wilcoxon rank-sum test was used to assess the potential correlation between cy- tokines and SNPs associated with DM risk．The relative copy number of mtDNA was measured using quantitative re- al-time polymerase chain reaction ( qPCR) analysis． Results : Two SNPs ( 16304T / C，16519T / C) were found to be associated with the risk of developing DM，and alleles 16304C ( χ2 = 4. 937，P = 0. 026) and 16519C ( χ2 = 4. 405，P = 0. 036) in the mitochondrial D-loop region were confirmed to be associated with DM development risk． The DM risk-associated allele 16304C was significantly associated with lower IL-4 expression ( P = 0. 016) ．The mtDNA copy number was significantly higher in DM patients than in controls ( P ＜0. 001) ． Conclusion Mitochondrial D-loop SNPs can be potential biomarkers for DM risk，and SNPs may be involved in DM by influencing cytokines．DM shows high expression of mtDNA copy number，and the increase in mtDNA copy number may lead to mitochondrial dysfunction，which triggers the pathogenesis of DM．

Objective To establish an ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry(UPLC-QTOF-MS)method for identifying the active ingredients of Zhizi Houpu decoction,and to predict its material basis and mechanism of anti-insomnia effects using network pharmacology.Methods The chemical components of Zhizi Houpu decoction were identified according to UHPLC-QTOF-MS ion fragmentation rule combined with compound library and literature review.Components with oral bioavailability(OB)≥30％and drug-like properties(DL)≥0.18 were selected to construct the Zhizi Houpu decoction-active ingredients-target network.The STRING database and the Database for Annotation,Visualization,and Integrated Discovery(DAVID)were used to screen key target proteins.Subsequently,enrichment analysis was performed for biological processes,molecular functions,cellular components,and signaling pathways.Results A total of 107 chemical components were identified,including 35 compounds related to insomnia and 11 anti-insomnia targets such as AKT serine/threonine kinase 1,tumor protein 53,and prostaglandin-endoperoxide synthase 2.Gene Ontology functional enrichment analysis indicated that Zhizi Houpo decoction may exert its effects through cellular components such as the presynaptic membrane,dendrite,and plasma membrane,by participating in biological processes like chemical synaptic transmission,G protein signaling pathway,and neuron apoptosis,and by regulating molecular functions such as G protein-coupled serotonin receptor activity.Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis revealed that its anti-insomnia effects were mainly concentrated in pathways such as neuroactive ligand-receptor interaction,calcium signaling pathway,serotonergic synapse,and cyclic adenosine monophosphate signaling pathway.Conclusion The anti-insomnia effect of Zhizi Houpo decoction is the result of a synergistic action involving multiple components,multiple targets,and multiple pathways.Its material basis and mechanism of action are primarily related to regulating biological processes such as neurotransmitter metabolism,synaptic function,neuronal apoptosis,and inflammatory response.

Childhood primary renal tubular diseases are chronic kidney diseases characterized by impaired renal tubular reabsorption. Primary renal tubular disease has diverse clinical manifestations and lacks of specificity. Laboratory tests are limited，making it prone to missed diagnosis and misdiagnosis. Based on the current knowledge of renal tubular diseases，authors propose early warning signals of renal tubular diseases such as family history of primary tubular diseases，unexplained polyhydramnios during pregnancy，polydipsia，polyuria，delayed growth and development or rickets，decreased muscle strength and tone，unexplained electrolyte disturbance，hyperuricemia，acid-base disturbance，positive urine sugar test，renal tubular proteinuria，urinary imaging examination suggesting kidney stones，calcium deposition，renal cysts and early onset of eye，ear，joint and neuron injury.Meanwhile，some universal management strategies for primary renal tubular disease are proposed，emphasizing the importance of multidisciplinary collaboration，genetic testing and individualized intervention to improve the long-term prognosis of childhood primary renal tubular diseases.