OBJECTIVE To investigate the epidemiological characteristics,clinical features and distribution of pathogens isolated from the burn wound patients with infections in a northwestern hospital from 2014 to 2023 so as to provide bases for prevention and treatment of burn wound infections in the northwestern region.METHODS The epidemiological characteristics,clinical features and distribution of pathogenic isolated from the burn wound patients with infections who were treated in the 940th Hospital of Joint Logistic Support Force from 2014 to 2023 were retrospectively analyzed.RESULTS A total of 2122 burn wound patients were enrolled in the study,397(18.71％)of whom had infections,including 306(14.42％)patients with community-acquired infections and 91(4.29％)patients with hospital-acquired infections.The proportion infections was higher among the patients aged no less than 60 years old(63/154)than among the patients aged less than 14 years old(231/983)and the pa-tients aged between 14 and 60 years old(103/985)(x2=108.840,P＜0.001).The proportion of infections was higher among the patients with the burn wound depth no less than grade Ⅲ(146/458)than among the patients with the burn wound depth no less than grade Ⅱ(251/1664)(x2=66.600,P＜0.001).The proportion infections was higher among the patients with burn wounds in limbs(370/1881)than among the patients with burn wounds in other sites(1153/1987)(x2=47.244,P＜0.001).The isolation rates of methicillin-resistant Staphy-lococcus epidermidis and carbapenem-resistant Pseudomonas aeruginosa strains showed downward trends from 2014 to 2023,the isolation rates of carbapenem-resistant Klebsiella pneumoniae and the third generation cephalo-sporins-resistant Escherichia coli showed upward trends,however,there were no significant differences.CONCLUSIONS The patients with no less than 60 years of age,no lower than grade Ⅲ of burn wound depth and burn wounds in limbs are more likely to have burn wound infections.S.aureus is the predominant species of pathogens causing the infections.The isolation rates of carbapenem-resistant K.pneumoniae strains and the third generation cephalosporins-resistant E.coli strains show upward trends.It is necessary to take targeted prevention and treatment measures for the burn wound infections.

Objective To develop and validate a prediction model to identify high-risk individuals who are at-risk to develop acute liver injury(ALI)within 180 days in new statin users,and to support early clinical intervention.Methods Data were sourced from the Yinzhou Regional Health Information Platform,covering statin initiators aged 18 years and older from January 1,2010,to October 31,2021.The dataset was divided into a derivation cohort and a temporal validation cohort based on the time of statin initiation.Predictors were selected using LASSO regression,and the model was constructed using the extreme gradient boosting(XGBoost)algorithm combined with cost-sensitive learning.Model performance was evaluated using Brier scores,Harrell's C-index,and calibration curves.Results A total of 126,440 statin initiators were included,with 90,542 in the derivation cohort and 35,898 in the validation cohort.Within 180 days of initial statin use,412(0.33％)patients developed ALI,including 305(0.34％)in the derivation cohort and 107(0.30％)in the validation cohort.The final model incorporated 16 predictors,which included demographic characteristics,lifestyle factors,family history,medical history,statin use,and concomitant medication use.The model demonstrated excellent overall performance[Brier score=0.0043,95％CI(0.0038,0.0049)],discrimination[Harrell's C-index=0.761,95％CI(0.725,0.794)],and calibration in internal validation.In temporal validation,the model also performed well[Brier score=0.0044,95％CI(0.0036,0.0052),Harrell's C-index=0.703,95％CI(0.614,0.781)].Conclusion This study develope and validate a prediction model for ALI in statin users,providing clinicians with a reliable tool for individualized risk assessment.This model can help achieve risk stratification and reduce the occurrence of ALI.

Objective To investigate the clinical efficacy and safety of facilitated percutaneous coronary intervention(PCI)with half-dose recombinant staphylokinase(r-SAK)in patients with ST-segment elevation myocardial infarction(STEMI)who are expected to undergo PCI within 120 minutes.Methods From October 2021 to August 2022,a total of 200 STEMI patients in eight centers were included and randomly assigned in a 1﹕1 ratio to either r-SAK group or control group.Patients received loading doses of aspirin and ticagrelor and intravenous heparin and were randomized to receive an intravenous bolus of either 5 mg r-SAK or normal saline prior to PCI.The outcomes were set as ST-segment resolution(STR)at 60-90 minutes after PCI,the proportion and transition of pathological Q waves on the 5th day after PCI,and the proportion of high-sensitivity cardiac troponin T(hs-cTnT)peaking within 12 hours of onset.The safety outcome was major bleeding events defined as Bleeding Academic Research Consortium(BARC)≥type 3 bleeding during hospitalization.Results Compared with the control group,the r-SAK group had a higher proportion of STR≥70%within 60-90 minutes after PCI(58.3%vs.40.3%,P=0.009);a lower proportion of pathological Q waves(59.1%vs.74.1%,P=0.040);a lower rate of Q wave progression(14.8%vs.43.2%,P＜0.001);a higher rate of Q wave disappearance(12.5%vs.3.7%,P=0.027);and a higher proportion of hs-cTnT peaking within 12 hours of symptom onset[31/40(77.5%)vs.17/33(51.5%),P=0.027].Regarding the safety outcome,no significant difference in BARC≥type 3 bleeding was found between the two groups during hospitalization(P＞0.05).Conclusions For STEMI patients who were expected to undergo primary PCI within 120 minutes of symptom onset,the facilitated PCI with half-dose r-SAK significantly increased the proportion of STR≥70%at 60-90 minutes after PCI,reduced the formation of pathological Q waves,and shortened the time to peak hs-cTnT,without increasing the risk of bleeding,which should be an alternative reperfusion strategy worthy of further study.

Adrenocortical carcinoma（ACC）is a rare and highly aggressive malignant tumor. Currently，mitotane is the first-line treatment. However，reports on neoadjuvant therapy for ACC using mitotane combined with immune checkpoint inhibitors remain scarce. This article reports a case of ACC. The patient was asymptomatic，and a right adrenal mass was detected during examination. Diagnostic imaging and endocrine evaluation confirmed the diagnosis of ACC. Due to the large tumor size，radical resection was initially considered unfeasible. After 7 months of mitotane therapy and two courses of tislelizumab，significant tumor shrinkage was achieved，allowing for successful open resection of the large right adrenal tumor combined with right nephrectomy. Postoperative histopathological examination confirmed the diagnosis of ACC. During the 3-month postoperative follow-up，no evidence of recurrence or metastasis was observed.

Objective:To explore the differences in clinicopathological features and prognosis between conventional adrenocortical carcinoma（ACC）and oncocytic ACC.Methods:The clinical and pathological data of patients with conventional ACC and oncocytic ACC who were admitted to Peking Union Medical College Hospital from March 2012 to Fabruary 2025 were retrospectively analyzed. Differences in clinical and pathological characteristics between the two groups were compared. Survival curves were plotted using the Kaplan-Meier method，and differences in survival rates were compared using the log-rank test.Results:The conventional ACC group comprised 137 cases，with a mean age of（47.5 ± 12.6）years and 37.2%（51/137）being male. The oncocytic ACC group included 22 cases，with a mean age of（49.1 ± 15.3）years and 59.1%（13/22）being male. No statistically significant differences were observed in age or gender distribution between the two groups（ P > 0.05）. The conventional ACC group exhibited a significantly higher prevalence of classic Cushing’s syndrome symptoms compared to the oncocytic ACC group［35.2%（45/128）vs. 5.3%（1/19）； χ2 = 6.876， P < 0.01］. Additionally，the proportion of hypertension was higher in the conventional ACC group［49.2%（65/132）vs. 22.2%（4/18）； χ2 = 5.319， P < 0.05］，whereas the prevalence of adrenal sex characteristics was lower［22.0%（28/127）vs. 63.2%（12/19）； χ2 = 14.043， P < 0.01］. The Ki-67 proliferation index was significantly higher in conventional ACC patients［20%（10%，40%）vs. 12%（9%，20%）； Z = -2.113， P < 0.05］. Furthermore，the conventional ACC group demonstrated a lower 5-year overall survival rate than the oncocytic ACC group（44.5% vs. 67.3%， P < 0.05）. Conclusions:Conventional ACC patients have a higher proportion of Cushing’s symptoms and hypertension，and oncocytic ACC patients have a higher proportion of adrenal sexual characteristics abnormalities. The prognosis of oncocytic ACC is better than that of conventional ACC.

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

OBJECTIVE To investigate the epidemiological characteristics,clinical features and distribution of pathogens isolated from the burn wound patients with infections in a northwestern hospital from 2014 to 2023 so as to provide bases for prevention and treatment of burn wound infections in the northwestern region.METHODS The epidemiological characteristics,clinical features and distribution of pathogenic isolated from the burn wound patients with infections who were treated in the 940th Hospital of Joint Logistic Support Force from 2014 to 2023 were retrospectively analyzed.RESULTS A total of 2122 burn wound patients were enrolled in the study,397(18.71％)of whom had infections,including 306(14.42％)patients with community-acquired infections and 91(4.29％)patients with hospital-acquired infections.The proportion infections was higher among the patients aged no less than 60 years old(63/154)than among the patients aged less than 14 years old(231/983)and the pa-tients aged between 14 and 60 years old(103/985)(x2=108.840,P＜0.001).The proportion of infections was higher among the patients with the burn wound depth no less than grade Ⅲ(146/458)than among the patients with the burn wound depth no less than grade Ⅱ(251/1664)(x2=66.600,P＜0.001).The proportion infections was higher among the patients with burn wounds in limbs(370/1881)than among the patients with burn wounds in other sites(1153/1987)(x2=47.244,P＜0.001).The isolation rates of methicillin-resistant Staphy-lococcus epidermidis and carbapenem-resistant Pseudomonas aeruginosa strains showed downward trends from 2014 to 2023,the isolation rates of carbapenem-resistant Klebsiella pneumoniae and the third generation cephalo-sporins-resistant Escherichia coli showed upward trends,however,there were no significant differences.CONCLUSIONS The patients with no less than 60 years of age,no lower than grade Ⅲ of burn wound depth and burn wounds in limbs are more likely to have burn wound infections.S.aureus is the predominant species of pathogens causing the infections.The isolation rates of carbapenem-resistant K.pneumoniae strains and the third generation cephalosporins-resistant E.coli strains show upward trends.It is necessary to take targeted prevention and treatment measures for the burn wound infections.

Objective To explore the therapeutic effect of precise disconnection of pargastric varices guided by endoscopic ultrasound in the treatment of esophagogastric variceal bleeding.Method A retrospective analysis was conducted on 20 patients with cirrhosis esophagogastric variceal bleeding treated with endoscopic ultrasound-guided precise disconnection of pargastric varices from January 1,2024 to December 31,2024.The efficacy was analyzed.Result All 20 patients successfully completed the precise disconnection of pargastric varices under the guidance of endoscopic ultrasound.The injection of tissue gel combined with the placement of spring coils(14 cases)and the injection of tissue gel alone(4 cases)successfully blocked the pargastric varices.All patients did not experience perforation,esophageal and cardia stenosis,massive bleeding,septicemia,or ectopic embolization.One patient who received tissue gel alone had slight bleeding from the pargastric varices after surgery and improved after 3 days of treatment to reduce portal vein pressure.Another one patient who received tissue gel alone had a low-grade fever and normal body temperature after 3 days of anti-infection treatment.Conclusion Precise disconnection of pargastric varices under the guidance of endoscopic ultrasound has a good therapeutic effect on esophagogastric variceal bleeding,with fewer complications such as ectopic embolization,massive bleeding,infection,and perforation.However,close follow-up observation is still needed to address the issue of pargastric varices.

This study aims to investigate the protective effects and mechanisms of polysaccharide extract PCP1 from Polygonatum cyrtonema in ameliorating cerebral ischemia-reperfusion(I/R) injury in rats through modulation of the Toll-like receptor 4(TLR4)/NOD-like receptor protein 3(NLRP3) signaling pathway. In vivo, SD rats were randomly divided into the sham group, model group, PCP1 group, nimodipine(NMDP) group, and TLR4 signaling inhibitor(TAK-242) group. A middle cerebral artery occlusion/reperfusion(MCAO/R) model was established, and neurological deficit scores and infarct size were evaluated 24 hours after reperfusion. Hematoxylin-eosin(HE) and Nissl staining were used to observe pathological changes in ischemic brain tissue. Transmission electron microscopy(TEM) assessed ultrastructural damage in cortical neurons. Enzyme-linked immunosorbent assay(ELISA) was used to measure the levels of interleukin-1β(IL-1β), interleukin-6(IL-6), interleukin-18(IL-18), tumor necrosis factor-α(TNF-α), interleukin-10(IL-10), and nitric oxide(NO) in serum. Immunofluorescence was used to analyze the expression of TLR4 and NLRP3 proteins. In vitro, a BV2 microglial cell oxygen-glucose deprivation/reperfusion(OGD/R) model was established, and cells were divided into the control, OGD/R, PCP1, TAK-242, and PCP1 + TLR4 activator lipopolysaccharide(LPS) groups. The CCK-8 assay evaluated BV2 cell viability, and ELISA determined NO release. Western blot was used to analyze the expression of TLR4, NLRP3, and downstream pathway-related proteins. The results indicated that, compared with the model group, PCP1 significantly reduced neurological deficit scores, infarct size, ischemic tissue pathology, cortical cell damage, and the levels of inflammatory factors IL-1β, IL-6, IL-18, TNF-α, and NO(P<0.01). It also elevated IL-10 levels(P<0.01) and decreased the expression of TLR4 and NLRP3 proteins(P<0.05, P<0.01). Moreover, in vitro results showed that, compared with the OGD/R group, PCP1 significantly improved BV2 cell viability(P<0.05, P<0.01), reduced cell NO levels induced by OGD/R(P<0.01), and inhibited the expression of TLR4-related inflammatory pathway proteins, including TLR4, myeloid differentiation factor 88(MyD88), tumor necrosis factor receptor-associated factor 6(TRAF6), phosphorylated nuclear factor-kappaB dimer RelA(p-p65)/nuclear factor-kappaB dimer RelA(p65), NLRP3, cleaved-caspase-1, apoptosis-associated speck-like protein(ASC), GSDMD-N, IL-1β, and IL-18(P<0.05, P<0.01). The protective effects of PCP1 were reversed by LPS stimulation. In conclusion, PCP1 ameliorates cerebral I/R injury by modulating the TLR4/NLRP3 signaling pathway, exerting anti-inflammatory and anti-pyroptotic effects.
Animals ; Toll-Like Receptor 4/genetics* ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Rats, Sprague-Dawley ; Rats ; Reperfusion Injury/genetics* ; Male ; Signal Transduction/drug effects* ; Polysaccharides/isolation & purification* ; Polygonatum/chemistry* ; Brain Ischemia/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Humans

Perceptual decision making refers to the process by which individuals make choices and judgments based on sensory information, serving as a fundamental ability for human adaptation to complex environments. While traditional research has focused on perceptual decision making in isolated contexts, growing evidence highlights the profound influence of social contexts prevalent in real-world scenarios. As a crucial factor supporting individual survival and development, social context not only provides rich information sources but also shapes perceptual decision making through top-down processing mechanisms, prompting researchers to recognize the inherently social nature of human decisions. Empirical studies have demonstrated that social information, such as others’ choices or group norms, can systematically bias individuals’ perceptual decisions, often manifesting as conformity behaviors. Social influence can also facilitate performance under certain conditions, particularly when individuals can accurately identify and adopt high-quality social information. The impact of social context on perceptual decisions is modulated by a variety of external and internal factors, including group characteristics(e.g., group size, response consistency), attributes of peers (e.g., familiarity, social status, distinctions between human and artificial agents), as well as individual differences such as confidence, personality traits, and developmental stage. The motivations driving social influence encompass three primary mechanisms: improving decision accuracy through informational influence, gaining social acceptance through normative influence, and maintaining positive self-concept. Recent computational approaches have employed diverse theoretical frameworks to provide valuable insights into the cognitive mechanisms underlying social influence in perceptual decision making. Reinforcement learning models demonstrate how social feedback shapes future choices through reward-based updating. Bayesian inference frameworks describe how individuals integrate personal beliefs with social information based on their respective reliabilities, dynamically updating beliefs to optimize decisions under uncertainty. Drift diffusion models offer powerful tools to decompose social influence into distinct cognitive components, allowing researchers to differentiate between changes in perceptual processing and shifts in decision criteria. Collectively, these models establish a comprehensive methodological foundation for disentangling the multiple pathways by which social context shapes perceptual decisions. Neuroimaging and electrophysiological studies provide converging evidence that social context influences perceptual decision making through multi-level neural mechanisms. At early perceptual processing stages, social influence modulates sensory evidence accumulation in parietal cortex and directly alters primary visual cortex activity, while guiding selective attention to stimulus features consistent with social norms through attentional alignment mechanisms. At higher cognitive levels, the reward system (ventral striatum, ventromedial prefrontal cortex) is activated during group-consistent decisions; emotion-processing networks (anterior cingulate cortex, insula, amygdala) regulate experiences of social acceptance and rejection; and mentalizing-related brain regions (dorsomedial prefrontal cortex, temporoparietal junction) support inference of others’ mental states and social information integration. These neural circuits work synergistically to achieve top-down multi-level modulation of perceptual decision making. Understanding the mechanisms by which social context shapes perceptual decision making has broad theoretical and practical implications. These insights inform the optimization of collective decision-making, the design of socially adaptive human-computer interaction systems, and interventions for cognitive disorders such as autism spectrum disorder and anorexia nervosa. Future studies should combine computational modeling and neuroimaging approaches to systematically investigate the multi-level and dynamic nature of social influences on perceptual decision making.