Artificial intelligence （AI） is gradually being applied in the field of decision-making support for the daily care of the older adults with disabilities. However， due to their limited cognitive functions， information asymmetry with medical staff and technical parties， and a certain degree of emotional deprivation， the older adults with disabilities are in a structurally vulnerable position. Against this background， several ethical dilemmas arise when AI technology intervenes in care decision-making. First， the informed consent process is difficult to genuinely implement. Second， algorithms based on average models tend to ignore individual differences， leading to “de-personalization” of services. Third， over-reliance on technology may further weaken humanistic care， thereby undermining the individual dignity of the older adults with disabilities. Fourth， in the care decision-making involving the joint participation of the older adults with disabilities， caregivers， medical teams， and AI systems， the boundaries of responsibility among all parties remain unclear， making it difficult to assign accountability when adverse outcomes occur. Drawing on the theories of vulnerability ethics， interactive ethics， and care ethics， this paper proposes a “vulnerability-interaction-care” path and put forward three-tiered countermeasures. The first was baseline safeguards， preventing the exploitation of the vulnerability of the older adults with disabilities and their caregivers， and requiring further safeguards for their dignity. The second was process protection， enhancing transparency and accountability within the human-machine collaboration framework， as well as establishing a multi-party consultation mechanism. The third was capacity empowerment， improving the subjectivity of the older adults with disabilities through age-appropriate interaction， structured expression of intentions， and caregiver participation.

Objective To construct a cloud-based platform for healthcare-associated infection(HAI)management based on multi-source data fusion and data visualization,and evaluate its application effectiveness.Methods A ter-tiary first-class cancer hospital was selected as the research object.Aligned with graded hospital accreditation stan-dards and based on grid-based management and responsibility zone mode,a platform was constructed in 2023 with low-code technology,multi-source data fusion,and visualization function.The self-comparison method was adopted to compare occurrence of HAI before and after the operation of the platform.A questionnaire survey was adopted to assess the experience and workload reduction feelings of full-time and part-time infection surveillance and control profe-ssionals using the platform.Results 81.56％of the surveyed respondents believed that the platform could re-duce the workload of infection surveillance and control.Compared with before the trial operation,the hospital achieved an annual reduction of 11 200 yuan in paper costs,with associated labor savings of approximately 4 482.5 hours.The incidence of HAI cases in the whole hospital decreased from 0.67％to 0.45％.The pathogen detection rate before therapeutic use of antimicrobial agents increased from 51.26％to 71.54％.Differences were both statis-tically significant(both P＜0.05).The detection number and proportion of carbapenem-resistant Pseudomonas aeruginosa(CRPA)and extended-spectrum β-lactamase-producing Klebsiella pneumoniae(ESBL-KP)in HAI cases decreased(54.55％vs 36.47％and 51.14％vs 32.50％,respectively,both P＜0.05).Conclusion The construc-tion and application of smart HAI management cloud-based platform can reduce cost,improve management quality,and provide a theoretical basis and technical paradigm for the construction of smart HAI management system.

Aim To elucidate whether Astragaloside Ⅳcould ameliorate pathological myocardial hypertrophy and fibrosis via the EGR1-SIRT1-PPARα-SCAD signa-ling pathway in TAC mice.Methods After randomi-zing mice into groups,the Sham+AS-Ⅳ group and TAC+AS-Ⅳ group were intragastrically administered 20 mg·kg-1AS-Ⅳ once daily,whereas the Sham+NS group and TAC+NS group were given equivalent saline.Six weeks post-surgery,an evaluation of cardiac function was conducted,heart weight index was compu-ted,morphological alterations in heart were noted,vari-ations in collagen and myocardial hypertrophy indexes were analyzed,ATP content,free fatty acid content,hydroxyproline content,SCAD expression,and enzyme activity were measured,and an initial investigation into the protein expression of EGR1-SIRT1-PPARα-SCAD in myocardial tissues was undertaken.Results After AS-Ⅳ intervention,the heart weight index of TAC mice decreased(P＜0.01),LVAWd,LVAWs,LVPWd and LVPWs values decreased(P＜0.01,P＜0.05),EF％and FS％values increased(all P＜0.01),myocardial hypertrophy markers and collagen area decreased,FFA content,HYP content and collagen expression de-creased(all P＜0.01),SCAD enzyme activity and ex-pression increased(P＜0.01,P＜0.05),and ATP content increased(P＜0.01).The expression of EGR1 protein decreased,and the expression of SIRT1 and PPARα protein increased(all P＜0.01).Conclu-sions AS-Ⅳ may improve fatty acid oxidation via the EGR1-SIRT1-PPARα-SCAD signaling pathway,thereby ameliorating pathological myocardial hypertrophy and fibrosis in TAC model mice.

Objective This study explores the clinical correlation between different low-density lipoprotein cholesterol(LDL-C)levels and prognosis,providing evidence-based guidance for the development of personalized lipid-lowering goals.Methods Patients who underwent elective percutaneous coronary intervention(PCI)treatment at Beijing Anzhen Hospital from January 2020 to June 2023 and received lipid-lowering therapy with the addition of Evolocumab were selected.Based on the results of blood lipid rechecks 3 to 6 months after surgery,the patients were divided into five groups:low-density lipoprotein＜0.5 mmol/L,0.5 to＜1.0 mmol/L,1.0 to＜1.4 mmol/L,1.4 to＜1.8 mmol/L,and above 1.8 mmol/L.All patients were followed up for more than one year,and clinical conditions and major adverse cardiovascular events(MACE)were recorded.Results A total of 1 106 patients undergoing PCI were enrolled;after propensity score matching and exclusion of patients lost to follow up,550 remained(110 per group).During 12 months of follow-up,58 patients(10.5％)experienced a MACE,with incidence rising step-wise across LDL-C categories.In multivariable Cox models adjusted for age,sex,diabetes,hypertension,baseline LDL-C,follow-up LDL-C,estimated glomerular filtration rate(eGFR),and left ventricular ejection fraction,the hazard ratios[HR(95％CI)]for MACE,relative to the＜0.5 mmol/L group,were 1.810(0.507-6.454,P=0.361),3.036(0.945-9.749,P=0.062),5.228(1.737-15.735,P=0.003),7.708(2.633-22.565,P＜0.001)for LDL-C levels of 0.5 to＜1.0,1.0 to＜1.4,1.4 to＜1.8 and≥ 1.8 mmol/L,respectively.A restricted cubic spline model demonstrated a significant non-linear positive association between LDL-C and MACE(P-overall≤0.001;P-non-linear=0.008).Stratified analyses by age,sex,hypertension and diabetes showed consistent HR with no significant interactions(all P＞0.05).There were no statistically significant differences among the groups in the incidence of bleeding events,elevated creatinine levels,or abnormal liver function(all P＞0.05).Conclusions In patients using PCSK9 after PCI,there is a significant positive correlation between LDL-C levels and the risk of MACE,and no correlation was observed between different LDL-C levels and the risk of adverse events such as bleeding.

Objective:To investigate the correlation between pathological features at the positive margins and biochemical re-currence after radical prostatectomy for prostate cancer.Methods:From June 2014 to December 2019,a total of 200 patients with organ-confined prostate cancer who underwent radical prostatectomy were included in this study by the method of case matching(1:1).One hundred patients with positive surgical margin and 100 with negative surgical margin were enrolled in this study.All patients did not receive any adjuvant treatment after surgery with a clinical stage of T2/N0.BCR-free survival was estimated using the Kaplan-Meier method.An optimal cutoff for the PSM length which differentiated risk for BCR was identified by Classification and Regression Tree analysis(CART).Cox proportional hazards regression model was used to assess the association between variables and BCR-free surviv-al.Results:A total of 200 patients were included in this study,and 177 patients with pT2 stage were pathological after operation.The median follow-up time of this group of patients was 32.8 months ranged from 5.6 to 80.5 months.A total of 28 cases of biochemi-cal recurrence were found through PSA follow-up after surgery,including 6 cases(6.0％)in the negative margin group and 22 cases(22.0％)in the positive margin group.The result of Kaplan Meier survival curve analysis showed that the non biochemical recurrence survival time of the negative margin group was longer than that of the positive margin group(log rank x2=9.336,P=0.003).It was found that the length of positive margin≥1 mm in the positive margin group was positively correlated with postoperative biochemical re-currence.Multivariate Cox proportional hazards regression was used to identify that the highest Gleason score ≥8 and the length of pos-itive ≥ 1 mm were independent factors of postoperative biochemical recurrence in both the overall patients and the patients with positive margin.Conclusion:The patients with highest Gleason score ≥8 and the length of positive ≥1mm are at elevated risk for BCR.

Objective To define the conceptual connotation of network dynamic collaboration capacity in medical surge response and construct its theoretical model.Methods A mixed concept analysis method was employed,integrating multidisciplinary literature and collecting empirical evidence through semi-structured expert interviews to extract the concept of network dynamic collaboration capacity in medical surge response.By integrating complex systems,network science,synergetics,and dynamic capability theory,and combining the interview results,the study used the analogy of flood control in hydraulic engineering to develop a"network-dynamic-collaboration"triangular capacity theoretical model.Results It reveals one antecedents(sudden external shocks have led to an abnormal and continuous surge in medical demand),six core attributes(information interconnection accessibility,dynamic resource adaptability,risk perception responsiveness,multi-party collaborative interactivity,service process adaptability elasticity,and learning iterative evolution),and four consequences(mitigation of crowding risk,protection of service continuity,minimization of crisis spillover,and enhancement of system resilience)for the network dynamic collaboration capacity in medical surge response.The theoretical model elucidates the coupling mechanisms among network structural resilience,dynamic regulation processes,and collaborative co-evolution in resisting medical surge.Conclusion The new concept and theoretical model proposed in this study deepen the understanding of medical surge response system mechanisms and offer a theoretical framework and practical guidance for strengthening the full-chain resilience of health emergency systems.

Objective::To examine the impact of hypertensive disorders of pregnancy (HDP) on offspring metabolomics.Methods::We searched five databases: PubMed, Ovid Embase, MEDLINE, Web of Science, and China National Knowledge Infrastructure, and included studies that reported metabolomics among human offspring born to HDP-complicated pregnancies.Results::Database search yielded 4054 articles, and after full-text screening, ten observational studies met inclusion criteria. Half of the studies had a sample size of less than 100 and were all observational studies in preeclampsia (PE) and gestational hypertension.Neonates were the most focused group in all included studies. Offspring born to HDP-complicated pregnancies exhibited statistically significant variations in blood metabolomics compared to their counterparts, characterized by amino acids, lipids, carnitine, and others (e.g., 1α,25-(OH) 2-D). Most studies reported a significant increase in differential metabolites of offspring born to HDP-complicated pregnancies. Four studies ( n = 1109) measured lipids-related metabolites, and all consistently showed that offspring born to PE-complicated pregnancies had significantly higher concentrations than non-PE exposed offspring. Conclusion::The existing evidence suggests an intergenerational effect of HDP on offspring metabolomics. Long-term follow-up studies are needed to advance the health effects of related adverse health outcomes and inform the prevention of offspring’s health.

Objective:To investigate the relationship between dynamic alterations in serum albumin (ALB) concentrations and clinical outcomes in hospitalized surgical patients, thus providing a basis for optimizing clinical management strategies.Methods:This study utilized data from a prospective observational cohort study on nutritional status among 7 122 elderly hospitalized patients across 34 tertiary hospitals in 18 Chinese cities. A total of 1 714 surgical patients hospitalized for 7-30 days with complete data were included. Standardized protocols were used to collect demographic data, clinical outcomes, and a range of laboratory results, including nutritional and hematological parameters. Heterogeneous effects of ALB on clinical outcomes were explored. Receiver operating characteristic (ROC) curves were used to determine cutoff values for infection-related complications. Correlation analyses and multiple linear regression models were used to identify independent predictors of the absolute change in ALB (?ALB).Results:Among the surgical patients, 69.7% (1 195/1 714) experienced a decline in ALB levels during their hospital stay, which was significantly associated with the occurrence of both infection- and non-infection-related complications. Simultaneously, a marked decrease in ALB was also significantly correlated with changes in nutritional and inflammatory status during hospitalization, worsening of gastrointestinal symptoms at discharge, and functional activity abnormalities (all P<0.05). ?ALB exhibited a close association with outcome variables such as infection-related complications. Based on the incidence of infection-related complications, a cutoff value for ALB was calculated, dividing patients into a high-risk group ( n=179) and a low-risk group ( n=1 535), and a statistically significant difference in the incidence of infection-related complications was found between these two groups ( P<0.05). Correlation analysis and multiple linear regression modeling revealed that female gender, a higher baseline ALB level, a poorer baseline inflammatory status, an exacerbation of inflammatory status, larger alterations in platelet-to-lymphocyte ratio, and the presence of infection-related complications were predictive factors for a decline in ALB levels among surgical patients during their hospital stay. Conclusions:?ALB serves as a critical indicator of the inflammatory-nutritional interplay, with its magnitude of decline effectively predicting clinical outcomes and nutritional status changes and guiding multidisciplinary interventions in surgical patients.

Objective:To explore the spatial correlation between gray matter volume (GMV) changes and neurotransmitter receptors/transporters in patients with first-episode schizophrenia (FES) .Methods:Fifty-four FES patients(FES group) and fifty-nine healthy controls (HC group) were selected from June 2014 to May 2020 in the Psychiatry Department of Renmin Hospital of Wuhan University. Structural magnetic resonance imaging (sMRI) was conducted on all subjects. Differences of GMV were compared across 400 cortical regions and 32 subcortical regions. Based on the positron emission tomography(PET) data from Neuromaps, which provides the density of 19 different neurotransmitter receptors and transporters, Spearman correlation analysis was performed to evaluate the spatial correlation between GMV changes and neurotransmitter systems.Results:Compared to the HC group, FES group exhibited significant GMV reductions in widespread cortical (90/400) and subcortical (6/32) regions (all FDR-corrected P<0.05). The effect size of GMV reduction (Cohen’s d) showed significant positive correlations with the density of 5-hydroxytryptamine 1a(5HT1a) ( r=0.400, Pspin=0.002), γ-aminobutyric acid type A receptor(GABA A)( r=0.307, Pspin=0.002), and metabotropic glutamate receptor 5(mGluR5) ( r=0.275, Pspin=0.020) receptors (all FDR-corrected P<0.05). Conclusion:GMV reductions in a wide range of brain regions existed in patients with FES. There are significant correlations between 5HT1a, GABA A and mGluR5 receptors and gray matter reduction in patients with FES. The disorder of these neurotransmitter receptors may be the potential neurobiological mechanism of gray matter structural abnormalities in the early stage of schizophrenia.

Objective:To explore the feasibility and preliminary clinical experience of robot-assisted pelvic exenteration (PE) in the treatment of locally advanced (LARC) and recurrent (LRRC) rectal cancer.Method:A descriptive case series research method was adopted. Inclusion criteria included: (1) Age 18-80 years old; (2) Preoperative puncture biopsy performed through endoscopy, and a pathological diagnosis of rectal malignant tumor; (3) Preoperative imaging examinations confirming locally advanced (cT4b stage) or locally recurrent rectal cancer, with tumor location in the pelvic cavity; (4) Physical condition: ECOG score ≤1 point, and radical resection being feasible after assessment. The data for five patients with LARC or LRRC who underwent pelvic exenteration (PE) using the da Vinci robotic surgical system in the Department of Anorectal Surgery, the Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital) from January, 2024 to January, 2025 were collected retrospectively. The mean age was (46.8±7.7) years, with 3 males and 2 females, who comprised 2 cases of LARC and 3 cases of LRRC. Two patients received preoperative radiotherapy, and 4 patients received preoperative chemotherapy. The average body mass index was (21.5±2.7) kg/m2. According to the American Society of Anesthesiologists (ASA) classification, 2 cases were grade II and 3 cases were grade III.Results:All patients with LARC or LRRC successfully underwent robot-assisted PE. The average operation time was (496.4±139.5) minutes; the average intraoperative blood loss was (72.0±29.5) ml; the average postoperative exhaust time was (50.0 ±13.6) hours; and the average postoperative defecation time was(64.2±15.3) hours. Mean early postoperative VAS pain scores was (3.6±1.5) points. Three patients underwent primary intestinal anastomosis, and 2 patients underwent colonic single-lumen ostomy. All 5 patients underwent urinary system reconstruction, among which 2 underwent ureterovesical reimplantation, 1 underwent percutaneous ureterostomy, 1 underwent ileal conduit replacement of bladder, and 1 underwent direct bladder suture. After surgery, except for 1 case of pelvic infection with effusion (Clavien-Dindo grade IIIa), there were no obvious postoperative complications. Postoperative pathological results showed that all patients achieved R0 resection, including 1 case of T4a stage and 4 cases of T4b stage (all involving urogenital organs or tissues), and 3 cases of N0 stage and 2 cases of N1 stage, with a maximum tumor diameter of (4.7±1.9) cm. The median postoperative follow-up time was 11 (range 7 to 17) months, and no patient experienced local recurrence.Conclusion:The above short-term preliminary results of robot-assisted PE in the treatment of LARC or LRRC within the pelvic cavity indicate that it is both safe and feasible.