Objective This study conducted molecular biological identification of the viruses carried by Culex pipiens pallens specimens collected in Shunyi District, Beijing in 2023, and observed the changes in the infection rate of the viruses carried by Cx. pipiens pallens at different collection times. Methods Cx. pipiens pallens were collected using carbon dioxide mosquito traps. The mosquito samples were ground in batches and analyzed by molecular biology technologies. The virus infection rate at different collection times was analyzed statistically. Results 17 strains of Culex pipiens pallens densovirus(CppDNV)were identified from Cx. pipiens pallens samples collected in Shunyi District, Beijing, in 2023. The nucleotide sequence analysis of the virus genome coding region showed that CppDNV was a single-stranded DNA virus with a total length of 3 335 nt, encoding 2 non-structural proteins(NS1, NS2)and 1 capsid protein(VP). The nucleotide(amino acid)sequence lengths of the three proteins were 2 376 nt(791 aa),1 092 nt(363 aa)and 1 071 nt(356 aa), respectively. Phylogenetic analysis showed that CppDNV was located in genus Brevihamaparvovirus. Statistical analysis showed no significant difference in infection rates across collection times(χ2=4.429, P=0.194). Conclusions CppDNV was identified in Cx. pipiens pallens in Beijing, and it was stably maintained in this natural population.

Objective: To present the plotting of trend analysis charts and the application of multi-rule trend analysis method for monitoring the quality of whole blood, washed red blood cells, and leukocyte-depleted suspended red blood cells. Methods: Samples of whole blood, washed red blood cells, and leukocyte-depleted suspended red blood cells were collected in accordance with relevant protocols and requirements. The results of blood quality testing were compiled. The trend line charts were plotted for the deviation rates of volume, hemoglobin (Hb) content, supernatant protein content, and leukocyte residual count. In addition, the trend line chart were plotted for hematocrit and post-storage hemolysis rate. Results: The trend analysis rules for the deviation rate of volume from the standard were: 1 categorized as out-of-control, (3 of 4) as warning, R as warning, 8 as alert, and 12 as alert. For Hb content deviation rate, the rules were: <0% categorized as out-of-control; <20% but ≥0% (for whole blood) or <10% but ≥0% (for washed red blood cells and leukocyte-depleted suspended red blood cells) as a warning. For supernatant protein content deviation rate, the rules were: ≥0.0% as out-of-control, and >-10% but <0.0% as a warning. For hematocrit, the rules were: 1 as out-of-control and (3 of 4) as warning. For leukocyte residual count deviation rate, the rules were: >0.0% as out-of-control, and >-10% but ≤0.0% as a warning. For post-storage hemolysis rate, the rule was: ≥0.8% out-of-control. Conclusion: The application of multi-rule trend analysis facilitates the timely identification of trend abnormalities and factors causing deviations in the collection and preparation processes of whole blood, washed red blood cells, and leukocyte-depleted suspended red blood cells, thereby providing reliable numerical evidence for their correction and adjustment.

Gastric cancer remains a highly prevalent malignancy worldwide, with surgical resection currently constituting the cornerstone of treatment aimed at improving long-term patient survival. Owing to their notable advantages, including reduced surgical trauma and accelerated postoperative recovery, minimally invasive procedures are progressively supplanting conventional open surgery and have become the mainstream approach in gastric cancer management. Concurrently, the rapid advancement of artificial intelligence (AI) technologies has enabled real-time intraoperative monitoring of surgical scenes, thereby furnishing novel technical support for adjunctive decision-making, surgical navigation, and skill assessment during gastrectomy. This article provides a systematic review of the current status of AI applications in minimally invasive gastric cancer surgery, with a particular focus on research progress pertaining to instrument recognition, surgical phase identification, delineation of normal anatomical structures, detection of metastatic foci, and early warning of intraoperative adverse events. Furthermore, we discuss the potential value of AI in enhancing surgical efficiency, ensuring patient safety, and optimizing surgical education. On this basis, we further analyze the principal challenges and inherent risks confronting current AI systems, with the aim of informing future technological innovation and facilitating clinical translation.

OBJECTIVE To provide a reference for clinical pharmacists to participate in the treatment of rare and complex cases of CTLA-4 haploid deficiency combined with severe malnutrition. METHODS The clinical pharmacist participated in the diagnosis and treatment of a complex case of CTLA-4 haploid deficiency with severe malnutrition， type 1 diabetes， blood coagulation abnormalities with gastrointestinal bleeding and virus infection， assisted the doctor to develop an individualized parenteral nutrition program， and dynamically adjusted the ratio of glucose and insulin （from 3.9∶1 to 15.6∶1）. When patient had severe coagulation abnormalities and gastrointestinal bleeding， the clinical pharmacist recommended discontinuing fat emulsion and switching to glucose amino acid dual energy supply； when the patient had a high fever accompanied by a sudden drop in platelets， the clinical pharmacist recommended to improve the second-generation sequencing of plasma metagenomics. Based on positive results for both EB virus and cytomegalovirus， the clinical pharmacist recommended to discontinue meropenem and switch to ganciclovir for antiviral treatment； when the patient experienced systemic itching and mental excitement， the clinical pharmacist quickly diagnosed as an adverse reaction of ganciclovir and recommended to switch to acyclovir for antiviral treatment. The clinical pharmacist simultaneously carried out parenteral nutrition medication education， and standardized infusion speed， and continuously monitored bleeding-related indicators. RESULTS The physician adopted the advice of the clinical pharmacist. After comprehensive intervention， the patient’s body temperature returned to normal， gastrointestinal bleeding stopped， coagulation indicators significantly improved， blood sugar control reached the standard， and the condition improved and the patient was discharged. CONCLUSIONS Clinical pharmacists rely on comprehensive pharmaceutical services to balance the benefits and risks of treatment for rare and complex cases. They play a key role in individualized nutrition planning， refined blood glucose control， infection identification and anti-infection optimization， and identification and treatment of adverse drug reactions to ensure patient medication safety and efficacy.

ObjectiveTo develop an exercise intervention program for patients undergoing total knee arthroplasty based on the daily goal management pathway, and preliminarily verify its clinical feasibility and effectiveness. MethodsThe intervention program was formulated based on the daily goal management pathway and hope theory, combined with literature analysis, qualitative interviews and expert consultation. Feasibility evaluation was conducted among orthopedic nurses and patients in Beijing Bo'ai Hospital from September to November, 2025. A controlled pilot study was performed with 15 patients in each group: the control group received routine rehabilitation care, while the experimental group received the developed intervention program. The Hospital for Special Surgery Knee Score (HSS), range of motion (ROM) of knee, functional exercise compliance score, Visual Analogue Scale (VAS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) were compared between two groups. ResultsThe program covered three themes from admission to three weeks postoperatively, including seven training methods and 32 specific recommendations. Feasibility results showed 100% patient recruitment rate, 93.75% retention rate and 96.94% program acceptance rate. A total of 21 orthopedic nurses scored ≥ 4.5 on all four dimensions of the program. After intervention, HSS score and knee ROM significantly increased (|t| > 6.205, P < 0.001), while WOMAC and VAS score decreased (t = 9.127, Z = -3.415, P < 0.01) in the experimental group; in the control group, VAS score decreased (Z = -3.122, P = 0.002), and knee ROM reduced (t = -2.622, P = 0.015), with no significant improvement in other indicators (P > 0.05); all the indexes were better in the experimental group than in the control group (|t| > 7.949, |Z| > 2.990, P < 0.01), including the functional exercise compliance (t = -8.565, P < 0.001). ConclusionThe exercise intervention program based on the daily goal management pathway is scientific, feasible and preliminarily effective, which can provide a new structured and humanized nursing for early exercise training of patients during hospitalization for total knee arthroplasty.

Liver fibrosis is a key pathological stage in the progression of chronic liver diseases to liver cirrhosis， and effective etiological control or therapeutic interventions can help to achieve varying degrees of liver fibrosis regression in some patients. Accordingly， accurate assessment of the degree of liver fibrosis regression has gradually become an important concern in clinical management and the development of novel therapeutic agents. Conventional assessment methods mainly focus on fibrosis staging and have certain limitations in reflecting structural remodeling and dynamic changes of the liver. This article systematically reviews the recent research advances in the assessment of liver fibrosis regression from various aspects such as histological and digital pathology， serological and multi-omics biomarkers， and functional and molecular imaging modalities and discusses their respective advantages and limitations in assessing liver fibrosis regression. On this basis， this article discusses a multimodal integrated evaluation strategy based on artificial intelligence， in order to provide new ideas for accurate assessment of liver fibrosis regression， individualized therapeutic monitoring， and optimization of clinical trial endpoints.

With the advancement and development of computer technology, the medical decision-making system based on artificial intelligence (AI) has been widely applied in clinical practice. In the perioperative period of cardiovascular surgery, AI can be applied to preoperative diagnosis, intraoperative, and postoperative risk management. This article introduces the application and development of AI during the perioperative period of cardiovascular surgery, including preoperative auxiliary diagnosis, intraoperative risk management, postoperative management, and full process auxiliary decision-making management. At the same time, it explores the challenges and limitations of the application of AI and looks forward to the future development direction.

Objective: To investigate the trends in disease burden due to childhood asthma in China from 1990 to 2021 and to project the disease burden from 2022 to 2035, so as to provide insights into formulation of the control interventions for childhood asthma in China. Methods: The prevalent case, agestandard prevalence, disability-adjusted life years (DALYs) and agestandard DALYs rate of children with asthma at ages of 0 to 14 years and their 95% uncertainty interval (UI) in China from 1990 to 2021 were extracted from the Global Burden of Disease (GBD) database. The temporal trends in the disease burden of childhood asthma were evaluated with estimated annual percentage change (EAPC) and its 95% confidence interval (CI), and the disease burden due to asthma was projected among children at ages of 0 to 14 years in China using a Bayesian age-period-cohort (BAPC) model from 2022 to 2035. Results: There were 9.368 3 million (95%UI=6.410 7 million to 14.026 1 million) prevalent cases of asthma among children at ages of 0 to 14 years in China in 2021, contributing to 0.387 9 million (95%UI=0.216 1 million to 0.668 8 million) DALYs loss. The prevalent cases and DALYs of asthma decreased by 37.28% and 52.55% among children at ages of 0 to 14 years in China in 2021 compared with 1990, and the agestandardized prevalence [EAPC=-0.70%, 95%CI=-1.26% to -0.13%)] and DALY rates [EAPC=-1.71%, 95%CI=-2.32% to -1.10%)] also appeared a tendency towards a decline. From 1990 to 2021, the prevalent cases, prevalence, DALYs and DALYs rate of asthma were all higher among male children than among female children, and the disease burden of asthma was higher among children at ages of 5 to 9 years than at other age groups. BAPC model predicted a decline in both prevalent cases and DALYs of asthma among children at ages of 0 to 14 years in China from 2022 to 2035, with 6.759 6 million prevalent cases and DALYs of 0.228 4 million personyears in 2035, while the prevalence and DALYs rates were projected to rise to 5 143.35/105 and 173.75/105 in 2035. Conclusions Despite a reduction in the disease burden of asthma among children at ages of 0 to 14 years in China from 1990 to 2021, the prevalence remained high. The disease burden due to asthma is projected to appear a decline among children at ages of 0 to 14 years in China from 2022 to 2035; however, the prevalence and DALYs rates still rise. Intensified control measures and targeted interventions are required to reduce the disease burden of childhood asthma.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.