Patients with Takayasu arteritis combined with aortic valve disease often have a poor prognosis following surgical valve replacement, frequently encountering complications such as perivalvular leakage, valve detachment, and anastomotic aneurysm. This article presents a high-risk case wherein severe aortic valve insufficiency associated with Takayasu arteritis was successfully managed through transcatheter aortic valve implantation via the transapical approach. The patient had satisfactory valve function with no complications observed during the six-month postoperative follow-up. This case provides a minimally invasive and feasible alternative for the clinical management of such high-risk patients.

Metabolic associated fatty liver disease （MAFLD） is a common chronic liver disease worldwide， and timely and precise intervention can delay disease progression and significantly reduce the risk of serious complications such as liver fibrosis， liver cirrhosis， and liver cancer. Although traditional liver biopsy combined with metabolic markers is the gold standard， it may cause complications such as pain and bleeding as an invasive examination， which has promoted scientific research to shift its focus to the construction of noninvasive assessment systems. In recent years， noninvasive diagnostic technologies based on multi-dimensional detection strategies have been continuously updated， including serological models， imaging techniques， and clinical algorithms. This article systematically reviews the screening methods for MAFLD during the fibrotic stages F1—F3， especially deep learning models based on artificial intelligence， in order to provide ideas for the early screening of MAFLD， as well as a scientific reference for optimizing disease management strategies.

Objective To systematically review the studies on predictive models for delayed graft function (DGF) after kidney transplantation. Methods Databases including China Biology Medicine Database, China National Knowledge Infrastructure, Wanfang Database, VIP Database, PubMed, Web of Science and CINAHL were searched to collect studies on predictive models for DGF after kidney transplantation published from the establishment of each database to June 29, 2025. Two researchers screened the literatures according to the inclusion and exclusion criteria, evaluated the quality of the literatures using the prediction model risk of bias assessment tool (PROBAST), and conducted a meta-analysis of the common predictors of the models using R software. Results A total of 12 literatures were included, involving 14 predictive models with sample sizes ranging from 103 to 24 653 cases. Donor serum creatinine level, cold ischemia time, donor age and donor body mass index were the top four common predictors. All the predictive models were at high risk of bias and low in applicability. The results of meta-analysis showed that abnormal donor body mass index, advanced donor age, prolonged cold ischemia time and elevated donor serum creatinine level were all associated with an increased risk of DGF after transplantation (all P<0.01), but there was high heterogeneity among the studies. Fixed-effect model and random-effect model were used to re-pool the effect sizes separately. The results indicated that the fixed-effect model and random-effect model had good consistency in terms of donor body mass index, donor age and cold ischemia time, while there was a significant difference in the effect sizes of the two models for donor serum creatinine level. Conclusions The predictive models for DGF risk after kidney transplantation have good predictive performance, but the overall risk of bias is high. In the future, large-sample, multicenter and high-quality prospective clinical studies should be carried out to optimize the predictive models, so as to improve their predictive ability and clinical application value.

Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.

Objective To propose a lung artery segmentation method that integrates shape and position prior knowledge, aiming to solve the issues of inaccurate segmentation caused by the high similarity and small size differences between the lung arteries and surrounding tissues in CT images. Methods Based on the three-dimensional U-Net network architecture and relying on the PARSE 2022 database image data, shape and position prior knowledge was introduced to design feature extraction and fusion strategies to enhance the ability of lung artery segmentation. The data of the patients were divided into three groups: a training set, a validation set, and a test set. The performance metrics for evaluating the model included Dice Similarity Coefficient (DSC), sensitivity, accuracy, and Hausdorff distance (HD95). Results The study included lung artery imaging data from 203 patients, including 100 patients in the training set, 30 patients in the validation set, and 73 patients in the test set. Through the backbone network, a rough segmentation of the lung arteries was performed to obtain a complete vascular structure; the branch network integrating shape and position information was used to extract features of small pulmonary arteries, reducing interference from the pulmonary artery trunk and left and right pulmonary arteries. Experimental results showed that the segmentation model based on shape and position prior knowledge had a higher DSC (82.81%±3.20% vs. 80.47%±3.17% vs. 80.36%±3.43%), sensitivity (85.30%±8.04% vs. 80.95%±6.89% vs. 82.82%±7.29%), and accuracy (81.63%±7.53% vs. 81.19%±8.35% vs. 79.36%±8.98%) compared to traditional three-dimensional U-Net and V-Net methods. HD95 could reach (9.52±4.29) mm, which was 6.05 mm shorter than traditional methods, showing excellent performance in segmentation boundaries. Conclusion The lung artery segmentation method based on shape and position prior knowledge can achieve precise segmentation of lung artery vessels and has potential application value in tasks such as bronchoscopy or percutaneous puncture surgery navigation.

⁶⁰Co-γ ray irradiation has the unique advantages of high efficiency， strong penetration， operation at room temperature and no residue， which has been widely used in the sterilization of Chinese medicinal materials， decoction pieces， Chinese patent medicine. However， the irradiation effect may cause changes in the content of chemical components in Chinese materia medica or the emergence of new radiolysis products， leading to reduced efficacy and uncontrollable safety risks. This paper reviewed the relevant literature at home and abroad， summarized the effect of irradiation sterilization on various types of chemical compositions of Chinese medicinal materials and their preparations， and analyzed and explored the rule of change. The results showed that the content changes of various chemical components in Chinese materia medica after ⁶⁰Co-γ ray irradiation sterilization varied. The contents of most flavonoids， terpenoids， phenylpropanoids and quinones decreased after irradiation， and the degree of decrease increased with the elevated irradiation dose. The contents of lignans， alkaloids， isoflavones and some terpenoids did not change significantly before and after irradiation， while the content changes of triterpenoid saponins， dihydroflavonols， chalcones， sugars and glycosides after irradiation were not yet uniform. Therefore， it is recommended to pay attention to the compositional changes of irradiated Chinese medicines， strengthen the research on the standards of irradiated Chinese medicines， and standardize the irradiation and sterilization of Chinese medicines in order to promote the healthy and rational application of irradiated Chinese medicines.

OBJECTIVE To provide a reference for revising the safety content of traditional Chinese medicine（TCM） instructions. METHODS A systematic analysis was conducted on the relevant announcements on the revision of TCM instruction from 2013 to 2024， including the year of publication， drug name， drug formulation， announcement release time， and the average number of revisions made to three safety contents （contraindication， adverse drug reaction， and precaution）. According to the report data of national adverse drug reaction monitoring from 2013 to 2024， analyze the proportion of TCM in all adverse drug reactions， the composition ratio of adverse drug reaction of different dosage forms of drugs [TCM injection， oral TCM， other （topical） TCM]. RESULTS From 2013 to 2024， the National Medical Products Administration issued a total of 101 notices on the revision of TCM instruction， involving 241 types of TCM. Among them， there were 163 types of oral TCM， 25 types of TCM injection， and 53 types of other （topical） TCM. There were 3， 10 and 0 types of TCM injection， oral TCM， and other （topical） TCM with missing safety content， respectively. The main source of adverse drug reaction data for TCM injections was post- marketing monitoring data （accounting for 48.00%）； the main source of adverse drug reaction data for oral TCM was monitoring data （accounting for 71.17%）； 73.58% of other （topical） TCM did not mention the source of adverse drug reaction data. The report on national adverse drug reaction monitoring showed that the proportion of all adverse drug reactions of TCM had decreased from 17.3% in 2013 to 12.1% in 2024. Among them， the proportion of adverse drug reaction of TCM injection in the three dosage forms of TCM had decreased from 61.3% in 2015 to 24.6% in 2024， while the proportion of adverse drug reaction of oral TCM in the three dosage forms of TCM had increased from 34.7% in 2015 to 64.0% in 2024. CONCLUSIONS The risk management of TCM safety content has achieved results in China， but still faces three major challenges： strongdependence on passive monitoring， insufficient data traceability， and missing key content. It is urgent to improve safety content by dosage form， optimize data sources， and fully utilize real-world evidence to supplement safety content.

ObjectiveTo investigate the relationship between mitochondrial DNA copy number (mtDNAcn) and cognitive dysfunction, and its mediating role between type 2 diabetes mellitus (T2DM) and cognitive dysfunction. MethodsA case-control study was conducted from May 2019 to April 2021 at the Shanghai Yangpu District Central Hospital, China. A total of 193 subjects were recruited and divided into two groups based on the Montreal Cognitive Assessment (MoCA): normal control (NC) group (n=95) and cognitive impairment group (n=98). The prevalence of T2DM was determined on the basis of medical history, while mtDNAcn in peripheral blood samples was quantified using realtime fluorescent quantitative polymerase chain reaction. ResultsUnivariate analyses revealed that the mean mtDNAcn in the cognitive impairment group was 0.76±0.37, significantly lower than that in the NC group (1.06±0.45) (P<0.05). Logistic regression analyses showed that higher mtDNAcn was associated with a reduced risk of cognitive impairment (OR=0.315, 95%CI: 0.125‒0.795). Additionaly, a statistically significant positive correlation was observed between mtDNAcn and the total MoCA score (r=0.381, P<0.01). Morever, T2DM history (OR=2.741, 95%CI: 1.002‒7.497) and elevated glycosylated hemoglobin (HbA1c) levels (OR=1.796, 95%CI: 1.190‒2.711) were identified as risk factors for cognitive impairment. Mediation analyses indicated that mtDNAcn served as a mediator between T2DM/HbA1c and the risk of cognitive impairment, with proportions of mediating effect of 9.04% and 9.18%, respectively. ConclusionPatients with mild and moderate cognitive impairment have significantly lower mtDNAcn than those with normal cognitive function. Reduced mtDNAcn is an influencing factor for cognitive dysfunction and may play a mediating role in the association between T2DM and mild to moderate cognitive impairment.

ObjectiveTo explore the construction of a risk assessment indicator system for common infectious diseases in Shanghai’s childcare institutions, and to provide a reference standard for the prevention and control of infectious diseases, staff training and system construction in childcare institutions. MethodsBy combining the Delphi method with the literature review and expert consultation, the hierarchical dimensions and items at all levels of the risk assessment indicator system for common infectious diseases in Shanghai’s childcare institutions were constructed, and the weighting coefficients were determined by analytic hierarchy process. ResultsA total of 14 experts from the field of childcare institutions, infectious disease control, child healthcare and health supervision participated in the Delphi consultation. The system consisted of four core dimensions: organizational management, team building, hardware equipment, and infectious disease surveillance and disposal, with the weighting coefficients of 0.285 9, 0.261 6, 0.204 3 and 0.248 2, respectively. The evaluation indicator system consisted of 4 primary indicators, 15 secondary indicators and 45 tertiary items. The positivity coefficients of the two rounds of Delphi consultation were 0.93 and 1.00, the authority coefficients were both 0.81, and the Kendall’s coefficient of concordance were 0.44 and 0.49, respectively (P<0.01). ConclusionThe high expert engagement and coordination indicate that organizational management and team building remain the critical priorities for infectious disease prevention and control in Shanghai’s childcare institutions. It is recommended to strengthen financial investment, improve institutional mechanisms, and enhance personnel reserves and capacity building for healthcare teachers, thereby systematically upgrading the infectious disease control capabilities of childcare institutions.

Objective: To examine differences in depressive and anxiety symptoms between boarding and non boarding high school students and their associations with physical activity (PA) patterns, so as to provide evidence to inform adolescent mental health promotion. Methods: From October to December 2024, a convenience sample of 11 782 students aged 15-18 years was recruited from 36 schools in Nanchang, Ganzhou, and Shangrao of Jiangxi Province. Depressive and anxiety symptoms and PA were assessed using the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and International Physical Activity Questionary Short Form (IPAQ-SF). Logistic regression model was used to examine associations between PA patterns, depressive and anxiety symptoms among boarding and non boarding students. Results: The detection rates of depressive symptoms were 45.7% and 46.4% among boarding and non boarding students, respectively; for anxiety symptoms, the corresponding rates were 43.0% and 46.7%. Boarding and non boarding students differed significantly in smoking status, screen time, sleep duration, sedentary time, daily vegetable intake, and napping ( χ 2=16.74-664.17, all P <0.01). Across PA pattern groups, the detection rates of depressive and anxiety symptoms differed significantly between boarding and non boarding students ( χ 2 depression = 23.85 , χ 2 anxiety = 22.78, both P <0.01). Adjusted for confounding factors, Logistic regression analysis of high school students showed that compared with the not meeting PA recommendations, both the concentrated and regular PA pattern were associated with lower odds of depressive symptoms [ OR (95% CI )=0.83(0.70-0.98), 0.90(0.83-0.98)]; and the concentrated pattern was also associated with lower odds of anxiety symptoms [ OR (95% CI )=0.78(0.65-0.92)], and the association of anxiety symptoms in concentrated boarding students was consistent with that of the overall group [ OR (95% CI )=0.71(0.52-0.98)] (all P <0.05). Conclusions There is a correlation of different physical activity patterns with depressive and anxiety symptoms among boarding and non boarding high school students. Schools should ensure students engage in regular physical activity and work to increase overall activity volume.