BackgroundArrhythmia and obsessive-compulsive disorder （OCD） frequently co-occur in clinical and epidemiological settings， yet their shared genetic basis and potential heart-brain axis mechanisms remain unclear. ObjectiveTo systematically evaluate the genetic correlation between arrhythmia and OCD， and to elucidate their underlying molecular genetic mechanisms， so as to provide molecular evidence for the "heart-brain axis" to support risk assessment and integrated clinical strategies for these comorbidities. MethodsThe aggregated data from the genome-wide association study （GWAS） of arrhythmia in the UK Biobank （7 207 cases and 477 391 controls） and the GWAS data of OCD released by the Psychiatric Genomics Consortium （2 688 cases and 7 037 controls） were integrated， all of which were limited to individuals of European ancestry. The genome-wide genetic correlations were estimated using the linkage disequilibrium score regression （LDSC） and the high-definition likelihood （HDL）. Local genetic correlation analysis was conducted using the local analysis of variance annotation （LAVA）. Multi-trait analysis of GWAS （MTAG） was employed to identify pleiotropic loci. Shared risk genes were identified by combining summary-data based Mendelian randomization （SMR） and transcriptome-wide association study （TWAS）. Functional enrichment analysis was performed based on the functional mapping and annotation （FUMA） platform. ResultsBoth LDSC （r_g=0.248， 95% CI： 0.159–0.336， P=4.82×10^-3） and HDL （r_g=0.294， 95% CI： 0.237–0.351， P=5.87×10^-4） revealed significant positive genetic correlation between arrhythmia and OCD. LAVA identified 23 significantly local correlated regions in the genome （P<2.0×10^-5）. MTAG discovered 11 genome-wide significant pleiotropic SNPs， among which rs12754189 （intron of KCNN3） had potential functional harmfulness （CADD>12.37）. SMR and TWAS jointly identified 20 shared genes， enriched in neural-cardiovascular tissues such as the cerebral cortex， amygdala， and left ventricle， and involved in DNA damage response， RNA metabolism， transcriptional regulation， and FAS signaling pathway （FDR<0.05）. ConclusionArrhythmia and OCD share a common genetic basis. The co-morbidity mechanism may involve the common vulnerability of neurons and cardiac muscle cells in terms of gene expression regulation and stress response， supporting the role of the brain-heart axis in the pathophysiology of both conditions.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective:To construct an evaluation indicator system for power system of otolaryngology surgery,so as to provide references for the configuration of surgical power devices of medical institutions.Methods:Literature review and brainstorming were used to analyze existing literature related to surgical power.Combined with expert opinions and clinical demands,an evaluation indicator system was initially proposed.The Delphi method was adopted to determine the evaluation indicators of power system of otolaryngology surgery.The analytic hierarchy process(AHP)method was used to determine the evaluation indicator system of the power system of otolaryngology surgery,which were constructed by weight of each indicator.Results:The evaluation indicator system of power system of otolaryngology surgery included 5 first-level indicators(integrity of medical equipment,products'performance indicators,safety,clinical application effect,and after-sales service guarantee)and 49 second-level indicators under the first-level indicators.In the first-level indicators,equipment's safety had the highest weight(20.48%).In the second-level indicators,the top three of the combined weights were respectively integrity of equipment's main device(7.19%),accessory's integrity(7.03%),and identification's integrity(6.03%).Conclusion:The evaluation index system for otolaryngological surgical power systems clarifies the core dimensions,specific indicators and relative importance of the evaluation,and can be applied to the procurement and selection of surgical power devices in medical institutions,performance testing,clinical effect evaluation and other aspects.

The innate immune system employs diverse pattern recognition receptors (PRRs) to monitor pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs), thereby initiating innate immune responses against pathogenic invasions. This review focuses on RNA, double-stranded DNA (dsDNA), and non-canonical conformational nucleic acid as structural triggers, comprehensively analyzing the immune recognition mechanisms of nucleic acid-sensing PRRs, their disease relevance, and therapeutic advancements. Key receptors highlighted include Toll-like receptors (TLRs), retinoic acid-inducible gene I (RIG-I)-like receptors (RLRs), cyclic GMP-AMP synthase (cGAS), and Z-DNA-binding protein 1 (ZBP1). We elucidate their pivotal roles in antiviral defense, antitumor immunity, and immune homeostasis maintenance, aiming to provide insights for the development of novel PRR-targeted drugs.

Ischemic stroke is the leading cause of disability and mortality worldwide. The blood‒brain barrier (BBB) is the first line of defense after ischemic stroke. Disruption of the BBB induced by brain microvascular endothelial cells (BMECs) dysfunction is a key event that triggers secondary damage to the central nervous system, where blood-borne fluids and immune cells penetrate the brain parenchyma, causing cerebral edema and inflammatory response and further aggravating brain damage. Here, we develop a novel artificial mesenchymal stem cell (MSC) extracellular vesicles by integrating MSC membrane proteins into liposomal bilayers, which encapsulated miR-132-3p with protective effects on BMECs. The artificial extracellular vesicles (MSCo/miR-132-3p) had low immunogenicity to reduce non-specific clearance by the mononuclear phagocytosis system (MPS) and could target ischemia-injured BMECs. After internalization into the damaged BMECs, MSCo/miR-132-3p escaped the lysosomes via the H_II phase transition of 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE) and decreased cellular reactive oxygen species (ROS) and apoptosis levels by regulating the RASA1/RAS/PI3K/AKT signaling pathway. In the transient middle cerebral artery occlusion (tMCAO) models, MSCo/miR-132-3p targeted impaired brain regions (approximately 9 times the accumulation of plain liposomes at 12 h), reduced cerebral vascular disruption, protected BBB integrity, and decreased infarct volume (from 44.95% to 6.99%).

Objective:To construct an evaluation indicator system for power system of otolaryngology surgery,so as to provide references for the configuration of surgical power devices of medical institutions.Methods:Literature review and brainstorming were used to analyze existing literature related to surgical power.Combined with expert opinions and clinical demands,an evaluation indicator system was initially proposed.The Delphi method was adopted to determine the evaluation indicators of power system of otolaryngology surgery.The analytic hierarchy process(AHP)method was used to determine the evaluation indicator system of the power system of otolaryngology surgery,which were constructed by weight of each indicator.Results:The evaluation indicator system of power system of otolaryngology surgery included 5 first-level indicators(integrity of medical equipment,products'performance indicators,safety,clinical application effect,and after-sales service guarantee)and 49 second-level indicators under the first-level indicators.In the first-level indicators,equipment's safety had the highest weight(20.48%).In the second-level indicators,the top three of the combined weights were respectively integrity of equipment's main device(7.19%),accessory's integrity(7.03%),and identification's integrity(6.03%).Conclusion:The evaluation index system for otolaryngological surgical power systems clarifies the core dimensions,specific indicators and relative importance of the evaluation,and can be applied to the procurement and selection of surgical power devices in medical institutions,performance testing,clinical effect evaluation and other aspects.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

This article reports a patient with typical Cushing syndrome′s manifestations and extremely low plasma cortisol level, indicating glucocorticoid hypersensitivity syndrome. After treatment with the glucocorticoid receptor antagonist mifepristone, the patient′s Cushing symptoms were significantly relieved, and cortisol levels returned to normal. The aim of this report is to enhance clinical awareness among physicians regarding glucocorticoid hypersensitivity syndrome.

OBJECTIVE In the process of drug dispensing, using computer vision technology to identify drugs is vulnerable to the influence of lighting, angle, packaging and other factors, which will produce large identification errors. Therefore, this paper proposes an object detection algorithm for drug appearance recognition(YOLOv4-GhostNet-CMB). METHODS Firstly, the algorithm redesigned the backbone feature extraction network in YOLOv4 by using GhostNet. Secondly, the CA attention model was brought into the Ghost module, aggregate features along horizontal and vertical directions to enhance the precise positioning of drugs. Finally, Bi-FPN feature pyramid structure was introduced to connect with the new backbone, and added a feature graph output which could enhance feature extraction and improved the detection accuracy of drugs. RESULTS The experimental results show that the average detection accuracy of YOLOv4-GhostNet-CMB algorithm reached 92.24%, which was a significant improvement of 4.49% compared with YOLOv4 algorithm in term of detection accuracy. CONCLUSION The model size is only 150 MB, nd this algorithm can effectively identify drugs.