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.

ObjectiveTo compare the Children's Hepatic tumors International Collaboration （CHIC） and the new Chinese Children's Cancer Group （CCCG） hepatoblastoma （HB） risk stratification systems in terms of their prognostic prediction efficacy and chemotherapy guidance value for Chinese children with HB， aiming to identify the risk stratification system more suitable for Chinese HB patients. MethodsThis retrospective study analyzed the clinical data of 403 pediatric patients with HB aged ＜ 18 years who were initially diagnosed at The First Affiliated Hospital of Sun Yat-sen University between February 2010 and September 2023. The prognostic predictive efficacy and chemotherapy-guided value of the CHIC and CCCG risk stratification systems was compared. Statistical analysis was performed using SPSS 27.0. Results①Using the new CCCG risk stratification， the 5-year event-free survival （EFS） rates for children who received versus did not receive risk-stratified chemotherapy according to the CCCG-HB-2016 protocol were 82.5% and 67.7% （P=0.002）， respectively， and the 5-year overall survival （OS） rates were 91.5% and 85.1% （P=0.038）. Using CHIC risk stratification， the corresponding 5-year EFS rates for children who received versus did not receive risk-stratified chemotherapy according to the CCCG-HB-2016 protocol were 80.3% and 68.5% （P=0.030）， and the 5-year OS rates were 90.9% and 85.8% （P=0.151）. ②Among children treated with the CCCG-HB-2016 protocol stratified by the new CCCG system， the 5-year EFS rates for the very low-risk （6 cases）， low-risk （20 cases）， intermediate-risk （61 cases）， and high-risk （69 cases） groups were 100%， 94.1%， 94.7%， and 66.2% （P＜0.001）， respectively， and the 5-year OS rates were 100%， 100%， 96.5%， and 82.0% （P=0.017）. Among children treated with the CCCG-HB-2016 protocol stratified by the CHIC system， the 5-year EFS rates for the very low-risk （32 cases）， low-risk （22 cases）， intermediate-risk （37 cases）， and high-risk （54 cases） groups were 93.8%， 95.2%， 76.1%， and 66.8% （P=0.003）， respectively， and the 5-year OS rates were 93.1%， 100%， 89.5%， and 85.6% （P=0.190）. ③For patients receiving CCCG-HB-2016 risk-stratified chemotherapy， the P-values for EFS comparisons between the CHIC and new CCCG systems within the very low-risk， low-risk， intermediate-risk， and high-risk groups were 0.537， 0.879， 0.023， and 0.934， respectively. Among patients who received stratified chemotherapy according to the CCCG-HB-2016 regimen， the intermediate-risk group in the new CCCG risk stratification system exhibited a significant advantage in 5-year event-free survival （EFS） compared with the intermediate-risk group in the CHIC risk stratification system （94.7% vs. 76.1%）. ConclusionCompared to the CHIC risk stratification， the new CCCG stratification may offer better prognostic prediction and guidance value for chemotherapy in Chinese HB patients， with the intermediate-risk group showing superior outcomes.

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.

Background Per- and polyfluoroalkyl substances (PFAS), a group of persistent organic pollutants associated with adverse health effects including hepatotoxicity, immunosuppression, and carcinogenicity, have undergone risk assessments by multiple international organizations, with dietary exposure being the primary pathway. Objective To characterize the exposure to PFAS from food and drinking water sources of elderly residents in Songjiang District of Shanghai and to evaluate associated health risk and health effects. Methods A cross-sectional study was conducted from May to July 2024 in Songjiang District based on the Shanghai Suburban Adult Cohort and Biobank (SSACB) cohort. Dietary surveys were administered via face-to-face interviews among older adults aged 65 years and above, yielding 4 583 valid questionnaires. The estimated daily intake (EDI) of PFAS was calculated by integrating data from the Sixth National Dietary Survey and recent literature on PFAS concentrations in food and drinking water in Shanghai. Health risk assessment was performed using health-based guideline values (HBGV) proposed by various institutions and studies. Additionally, correlation analysis and linear regression modeling of EDI and biochemical indicators in the elderly were conducted to evaluate potential adverse health effects. Results The elderly population in Songjiang District exhibited dietary characteristics consistent with the Eastern Healthy Diet Pattern. Among PFAS compounds, PFOA showed the highest level of oral exposure [mean: 1.495 ng·(kg·d⁻¹)], followed by PFOS [mean: 0.637 ng·(kg·d⁻¹)], PFHxS [mean: 0.636 ng·(kg·d⁻¹)], and PFBS [mean: 0.273 ng·(kg·d⁻¹)]. Specifically, drinking water was the primary source of PFOA [1.415 ng·(kg·d⁻¹), accounting for 94.60%], while aquatic products were the major source of PFOS [0.278 ng·(kg·d⁻¹), accounting for 43.66%]. Using the HBGV derived by China's epidemiological studies, the mean hazard index (HI) for PFAS exposure was 1.39, indicating 54.35% of the population had potential health risks (HI>1). Following the 2024 standard established by the Food Safety Commission of Japan (FSCJ), the HI value dropped to 0.11, suggesting negligible risk. PFAS exposure was negatively associated with triglyceride levels and the indicators of liver and kidney function, but positively associated with low-density lipoprotein cholesterol (LDL-C) and lung cancer markers in the elderly residents. Conclusion PFAS exposure among the elderly residents in Songjiang District is predominantly attributed to PFOA, PFOS, PFHxS, and PFBS, with drinking water and aquatic products identified as primary exposure sources. Current exposure levels demonstrate significant associations with biomarkers of lipid metabolism and lung cancer markers, suggesting potential population health risks. These findings underscore the urgent need to establish HBGV for PFAS compounds based on Chinese population-specific metabolic characteristics.

Objective:To investigate the influencing factors for sarcopenia in hospitalized patients,to construct a risk prediction model for sarcopenia in elderly hospitalized patients,and to provide a quantitative tool for early screening and intervention of sarcopenia based on the integration of multi-dimensional indicators.Methods:A retrospective analysis was performed for the data of 2105 elderly patients who were hospitalized in The First Affiliated Hospital of Chongqing Medical University from March 2016 to June 2023.The least absolute shrinkage and selection operator analysis was used for the screening of variables,and the logistic regression analysis was used to investigate the influencing factors for sarcopenia.A predictive model was constructed,and internal and external validation was performed.The Shapley additive explanations model was used to analyze feature contributions,and a nomogram model was constructed to visualize and interpret the results.Results:The 1259 patients from March 2016 to December 2020 were randomly divided into a training set with 882 patients and an internal test set with 377 patients at a ratio of 7∶3,and the 846 patients from January 2021 to June 2023 were established as the external validation set.A total of 489 cases of sarcopenia(55.44%)were detected in the training set.The logistic regression analysis based on the training set showed that asthenia,dependence on Activity of Daily Living,malnutrition,and in-creasing age were risk factors for sarcopenia(odds ratio[OR]>1,P<0.05),and male sex,normal body mass index,and overweight were protective factors against sarcopenia(OR<1,P<0.05).The model had an AUC of 0.876(95%CI=0.854-0.899)in the training set,0.883(95%CI=0.849-0.918)in the internal test set,and 0.750(95%CI=0.717-0.783)in the external validation set,suggesting that the model had good performance.The decision curve analysis showed that the nomogram model had a good clinical value.Conclu-sion:The predictive model for sarcopenia has good performance and holds promise for clinical application.