Background: There are limited long-term clinical outcome data comparing first-generation (1G) versus second-generation (2G) drug-eluting stents (DES) in patients with single-vessel disease (SVD). We sought to compare the efficacy and safety of 1G- and 2G-DES in SVD patients who underwent successful percutaneous coronary intervention (PCI) over 10 years of clinical follow-up. Methods: A total of 2,312 consecutive patients with SVD who underwent PCI with 1G-DES (paclitaxel- or sirolimus-eluting stents, n = 811) or 2G-DES (zotarolimus [Endeavor, Endeavor Resolute]- or everolimus-eluting stents [Promus Element, Xience], n = 1,082) were enrolled.After propensity score matching, 2 matched groups (538 pairs) were generated. Study endpoints included individual and composite clinical outcomes through 10 years. Results: During the 10-year follow-up, the 2G-DES group had lower incidences of myocardial infarction (MI; hazard ratio [HR], 0.44; 95% confidence interval [CI], 0.22–0.92; P = 0.028) and target lesion revascularization (TLR; HR, 0.54; 95% CI, 0.32–0.91; P = 0.021) than the 1G-DES group. Rates of total death, cardiac death, non-target vessel revascularization, stroke, major adverse cardiac events, and major adverse cardiac and cerebrovascular events were similar between groups. Conclusions In our single-center, all-comer registry, 2G-DES were associated with lower incidence rates of MI and TLR compared to 1G-DES in SVD patients over 10 years of followup, indicating a safer and more durable effect than 1G-DES.

This study aimed to develop a predictive model for the early identification of patients at risk of sepsis, using routinely available clinical information and laboratory test results collected during the initial phase of patient care. Methods: This retrospective analysis included electronic medical records of 22,400 adult patients who presented with suspected infection to a tertiary care university hospital in Korea between January 2013 and May 2024. Patients were classified according to Systemic Inflammatory Response Syndrome (score ≥ 2) or Quick Sequential Organ Failure Assessment (score ≥ 2), in combination with sepsis-related International Classification of Diseases, 10th revision codes. Four different machine learning models were trained and validated using five-fold cross-validation. In addition, Shapley additive explanations analysis was performed to interpret the contribution and clinical relevance of key predictive variables. Results: Among the evaluated models, CatBoost demonstrated the strongest predictive performance. Notably, platelet distribution width, alveolar–arterial oxygen difference, procalcitonin, and the arterial/alveolar oxygen ratio consistently emerged as major predictors. Importantly, several variables that did not reach statistical significance in univariate analysis nevertheless contributed substantially to overall model performance, highlighting the importance of complex, multidimensional interactions among clinical factors. Conclusion: These findings indicate that a model based on simple, routinely collected clinical data can achieve high predictive accuracy and strong generalizability. Such a tool may support early clinical decision-making by multidisciplinary teams, including nurses, across diverse real-world care settings. Further prospective studies are warranted to validate its clinical utility and to assess its potential effects on patient outcomes.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

ObjectiveTo explore the ethical issues and coping strategies in the diagnosis and treatment of 46, XY disorders of sex development （46, XY DSD） under a multidisciplinary team （MDT） model， and to deepen the understanding of relevant ethical issues while accumulating experience. MethodsA retrospective collection was conducted on the data of children with 46, XY disorders of sex development under a single-center MDT model from January 2017 to December 2024， and the ethical issues involved in the diagnosis and treatment process were analyzed. ResultsA total of 24 MDT discussion documents involving 20 children were collected， including 17 with female social gender and 3 with male social gender. The age ranged from 0.5 to 15.8 years， with children under 8 years accounting for 75%. The ethical issues primarily involved how to ensure adequate informed consent， whether surgery was necessary and its timing， and whether gender selection is reasonable and its timing. Among the 10 children raised as females who completed the gender role psychological scale assessment， 5 demonstrated masculine tendencies， all of whom had pathogenic genetic variants. Furthermore， only 1 patient changed the social gender to male. ConclusionThe diagnosis and treatment of 46, XY DSD is relatively complex， requiring multidisciplinary collaboration. This process involves numerous ethical issues and necessitates adhering to medical ethical principles. Ensuring adequate informed consent is crucial， especially for younger children. The surgery and its timing selection must adhere to the principles of beneficence， non-maleficence， and leaving room for the future. Gender selection constitutes a focus and challenge in diagnosis and treatment. Psychological scales and genetic etiologies are conducive to judgments regarding gender selection， yet multiple factors in the real world may interfere with the gender selection.

Objective:To explore the relationship between depressive symptoms and childhood abuse and neg-lect in college students,and the roles of attentional control and attentional bias in their relationship.Methods:Total-ly 871 students from a medical university in Guangzhou were recruited to complete the Patient Health Question-naire-9(PHQ-9),Childhood Trauma Questionnaire(CTQ),Attention Control Scale(ACS),and Attention to Posi-tive and Negative Information Scale(APNI).The summed scores of emotional abuse,physical abuse and sex abuse subscale of CTQ were computed to measure childhood abuse,while the summed scores of emotional neglect and physical neglect subscale of CTQ were computed to measure childhood neglect.Results:Childhood abuse and child-hood neglect scores were both positively associated with PHQ-9 scores(β=0.01,0.01),and negatively associated with ACS scores(β=-0.30,-0.14).Childhood abuse scores were positively associated with negative attentional bias scores(β=0.24),and negatively associated with positive attentional bias scores(β=-0.14).Childhood neg-lect scores were negatively associated with positive attentional bias scores(β=-0.22).Attentional control and at-tentional bias played mediating roles between childhood abuse,childhood neglect and depressive symptoms,and the mediating effects accounted for 53.99％and 40.28％of the total effects,respectively.Conclusion:Depressive symptoms in college students are related to both childhood abuse and neglect,and attentional control and positive,negative attentional bias mediate such associations.

Objective To optimize the appointment scheduling for MRI examinations to provide new ideas for solving the problems of MRI examinations in resource optimization.Methods A simulation model of time-sharing MRI examination appointment rules was established by conducting a field survey on the MRI examination process in the hospital imaging department.The appointment scheduling rule for MRI examination slots was optimized with the empirical distributions of MRI examination time and patient tardiness time as the input parameters and the weighted averages of patient waiting time,doctor overtime time and equipment idle time as the objective functions.The optimal time slot length and the number of examination sites for each time slot were determined based on the multiple-population differential evolution algorithm,and the response of the appointment scheduling rule to parameter variations was investigated by sensitivity analysis.Results Simulation results showed that the optimal time slot length was 15 min,and that the optimized rule significantly gained advantages over the existing rule in terms of interference resistance when the patient tardiness rate and the number of devices varied.Conclusion The optimized appointment scheduling for MRI examinations based on the multiple-population differential evolution algorithm contributes to enhancing the patient experience and the efficiency of MRI examinations.[Chinese Medical Equipment Journal,2025,46(6):88-92]

Based on ultra-high performance liquid chromatography-quadrupole-Exactive Orbitrap mass spectrometry(UPLC-Q-Exactive Orbitrap-MS) technology and network pharmacology, this study explored the pharmacodynamic substances and potential mechanisms of Huazhuo Sanjie Chubi Decoction in the treatment of gouty arthritis(GA). UPLC-Q-Exactive Orbitrap-MS technology was used to identify the components in Huazhuo Sanjie Chubi Decoction, and the qualitative analysis of its active ingredients was carried out, with a total of 184 active ingredients identified. A total of 897 active ingredient targets were screened through the PharmMapper database, and 491 GA-related disease targets were obtained from the OMIM, GeneCards, CTD databases. After Venn analysis, 60 intersecting targets were obtained. The component target-GA target network was constructed through the Cytoscape platform, and the STRING database was used to construct a protein-protein interaction network, with 16 core targets screened. The core targets were subjected to Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses, and the component-target-pathway network was constructed. It was found that the main active ingredients of the formula for the treatment of GA were phenols, flavonoids, alkaloids, and terpenoids, and the key targets were SRC, MMP3, MMP9, REN, ALB, IGF1R, PPARG, MAPK1, HPRT1, and CASP1. Through GO analysis, it was found that the treatment of GA mainly involved biological processes such as lipid response, bacterial response, and biostimulus response. KEGG analysis showed that the pathways related to the treatment of GA included lipids and atherosclerosis, neutrophil extracellular traps(NETs), IL-17, and so on. In summary, phenols, flavonoids, alkaloids, and terpenoids may be the core pharmacodynamic substances of Huazhuo Sanjie Chubi Decoction in the treatment of GA, and the pharmacodynamic mechanism may be related to SRC, MMP3, MMP9, and other targets, as well as lipids and atherosclerosis, NETs, IL-17, and other pathways.
Drugs, Chinese Herbal/therapeutic use* ; Network Pharmacology ; Arthritis, Gouty/metabolism* ; Chromatography, High Pressure Liquid/methods* ; Humans ; Mass Spectrometry/methods* ; Protein Interaction Maps/drug effects*

Objective: In South Korea, there is a significant gap in systematic, evidence-based research on intensive case management (ICM) for individuals with severe mental illness (SMI). This study aims to evaluate the effectiveness of ICM through a randomized controlled trial (RCT) comparing ICM with standard case management (non-ICM). Methods: An RCT was conducted to assess the effectiveness of Seoul-intensive case management (S-ICM) vs. non-ICM in individuals with SMI in Seoul. A total of 78 participants were randomly assigned to either the S-ICM group (n=41) or the control group (n=37). Various clinical assessments, including the Brief Psychiatric Rating Scale (BPRS), Montgomery–Åsberg Depression Rating Scale, Health of the Nation Outcome Scale, and Clinical Global Impression-Improvement (CGI-I), along with quality-of-life measures such as the WHO Disability Assessment Schedule, WHO Quality of Life scale, and Multidimensional Scale of Perceived Social Support (MSPSS) were evaluated over a 3-month period. Statistical analyses, including analysis of covariance and logistic regression, were used to determine the effectiveness of S-ICM. Results: The S-ICM group had significantly lower odds of self-harm or suicidal attempts compared to the control group (adjusted odds ratio [aOR]=0.30, 95% confidence interval [CI]: 0.21–1.38). Psychiatric symptoms measured by the BPRS and perceived social support measured by the MSPSS significantly improved in the S-ICM group. The S-ICM group also had significantly higher odds of CGI-I compared to the control group (aOR=8.20, 95% CI: 2.66–25.32). Conclusion This study provides inaugural evidence on the effectiveness of S-ICM services, supporting their standardization and potential nationwide expansion.