Doxorubicin (DOX)-induced cardiotoxicity and sepsis-induced myocardial injury (SIMI) represent significant clinical challenges in patients undergoing chemotherapy, sharing a common pathological basis of oxidative stress and mitochondrial dysfunction. Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, has recently been shown to play a critical role in DOX-induced cardiotoxicity and lipopolysaccharide (LPS)-induced SIMI. This article systematically reviews the mechanisms underlying myocardial injury caused by DOX and sepsis, identifying ferroptosis as a central common pathway. DOX triggers a burst of reactive oxygen species within mitochondria and inhibits glutathione peroxidase 4 (GPX4) activity through redox cycling of its quinone group and high-affinity accumulation in mitochondrial cardiolipin. LPS, by activating pattern recognition receptors and related inflammatory signaling pathways, provokes a cytokine storm and mitochondrial dysfunction. Both can disrupt the core regulatory axis of cysteine-glutathione (GSH)-GPX4, synergistically promoting ferroptosis in cardiomyocytes. Moreover, epigenetic regulation plays a key role in DOX- and LPS-induced cardiomyocyte ferroptosis and may serve as a promising therapeutic target. A deeper understanding of the ferroptosis mechanism and its epigenetic regulatory network in the synergistic injury induced by DOX and sepsis is of great importance for developing novel strategies to mitigate chemotherapy-related cardiotoxicity and improve outcomes in cancer patients with concurrent infections.

To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework.

Gastric variceal rupture and bleeding and hepatic encephalopathy are common and life-threatening complications in decompensated cirrhosis. As a minimally invasive interventional technique， balloon-occluded retrograde transvenous obliteration （BRTO） has made significant progress in the clinical management of gastric varices and hepatic encephalopathy in recent years. This article systematically reviews the technical principles， indications （e.g.， isolated gastric varices and refractory hepatic encephalopathy）， clinical efficacy （an acute hemostasis rate of 85% — 95%， a 1-year rebleeding rate of <15%， and an improvement rate of 60% — 80% for hepatic encephalopathy）， and safety （including complications such as renal impairment and elevated portal vein pressure） of BRTO. Meanwhile， this article discusses the advantages and disadvantages of BRTO and conventional treatment modalities （e.g.， transjugular intrahepatic portosystemic shunt and endoscopic treatment） and reviews the latest technological improvements in recent years， such as coil-assisted retrograde transvenous obliteration and plug-assisted retrograde transvenous obliteration. Future research should focus on the precision of patient selection （e.g.， stratification based on hemodynamic parameters）， the optimization of embolic materials （e.g.， application of new biodegradable embolic agents）， and the development of individualized treatment regimens， so as to improve efficacy and reduce the risk of complications.

ObjectiveTo perform metabolic associated fatty liver disease （MAFLD） screening among individuals attending community health institutions， to identify the patients at a low， moderate or high risk of advanced liver fibrosis based on fibrosis-4 index （FIB-4） and liver stiffness measurement （LSM） measured by liver transient elastography， and to implement stratified management. MethodsA cross-sectional study was conducted among 630 individuals attending Beijing Baizhifang Community Health Service Center from January to July 2024， and they were divided into MAFLD group and non-MAFLD group. According to body mass index （BMI）， the MAFLD group was further divided into lean MAFLD group （BMI<23 kg/m²） and non-lean MAFLD group （BMI≥23 kg/m²）. The above groups were compared in terms of demographic features， laboratory markers， hepatic steatosis， and LSM. Fibrosis risk stratification was performed for MAFLD patients based on FIB-4 and LSM， and a closed-loop management system involving referral to tertiary hospitals and follow-up at community health institutions was implemented. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. ResultsThere were 445 individuals （70.6%） in the MAFLD group and 185 individuals （29.4%） in the non-MAFLD group. Compared with the non-MAFLD group， the MAFLD group had a significantly lower proportion of male individuals （χ²=4.299， P<0.05）， a significant reduction in the level of high-density lipoprotein cholesterol （Z=3.484， P<0.05）， and significant increases in body weight （Z=-7.366， P<0.05）， BMI （Z=-9.740， P<0.05）， waist circumference （Z=-6.397， P<0.05）， hip circumference （Z=-6.935， P<0.05）， alanine aminotransferase （ALT） （Z=-2.765， P<0.05）， fasting blood glucose （Z=-3.646， P<0.05）， triglyceride （TG） （Z=-6.569， P<0.05）， total cholesterol （Z=-2.033， P<0.05）， low-density lipoprotein cholesterol （Z=-2.935， P<0.05）， controlled attenuation parameter （CAP） （Z=-19.784， P<0.05）， and LSM （Z=-5.703， P<0.05）. Within the MAFLD group， there were 124 individuals （27.9%） in the lean MAFLD group and 321 individuals （72.1%） in the non-lean MAFLD group. Compared with the non-lean MAFLD group， the lean MAFLD group had significantly lower body weight （Z=-12.414， P<0.05）， BMI （Z=-16.363， P<0.05）， waist circumference （Z=-7.733， P<0.05）， hip circumference （Z=-8.595， P<0.05）， ALT （Z=-2.835， P<0.05）， aspartate aminotransferase （Z=-1.972， P<0.05）， TG （Z=-2.407， P<0.05）， CAP （Z=-4.429， P<0.05）， degree of steatosis （χ²=16.588， P<0.05）， and LSM （Z=-3.908， P<0.05）. Based on the results of FIB-4 and LSM， 76 patients at a moderate or high risk of liver fibrosis should be referred to a higher-level hospital for further management. ConclusionThe detection rate of MAFLD reaches 70.6% among the individuals attending community health institutions， among whom 76 （17.1%） should be referred to a higher-level hospital. Establishing a liver fibrosis risk stratification and management system based on FIB-4 and LSM among MAFLD individuals in communities provides a practical pathway for chronic disease management and referral system construction in community health institutions.

Objective:To develop an economical,simple,and accessible method for early identification of high-risk pregnant women with gestational diabetes mellitus(GDM),this study developed and evaluated multiple machine learning models,identified the optimal prediction model,and constructed a clinical decision support sys-tem(CDSS)based on this model.Methods:A total of 464 pregnant women who visited the Second Affiliated Hospital of Dalian Medical University from January 1,2023 to December 30,2024 were included,of which 386 were used to establish a prediction model(231 in the training set and 155 in the testing set),and the remaining 78 were used as a validation.Adopting the methods of double-point sequence correlation and chi-square test,four machine learning models were constructed after selecting feature variables:Logistic Regression,Random Forest,Support Vector Machine,and eXtreme Gradient Boosting(XGBoost).Preliminary judgment of the maximum weight mod-el,further comparison of the discriminative ability,calibration ability,and clinical practicality of each model to evalu-ate and select the optimal model,develop its CDSS,and verify the accuracy of the model.Results:①Correlation analysis identified predictors of GDM:age,pre-pregnancy body mass index(BMI),systolic/diastolic blood pres-sure,white blood cell count,hemoglobin,lymphocyte ratio,fasting plasma glucose,uric acid,direct bilirubin,chronic hypertension complicating pregnancy,and assisted reproductive technology conception.②XGBoost dominated the ensemble model and demonstrated the best performance in discrimination(AUC 0.931,95%CI 0.910-0.967),cali-bration,and clinical utility among the four models.③The CDSS achieved an accuracy of 78.2%,sensitivity of 64.7%,and specificity of 82.0%in the XGBoost model.Conclusions:The XGBoost model has the highest ability to predict GDM in the early stage.Developing its CDSS not only facilitates doctors to quickly assess GDM risk,but also is suitable for promotion to remote areas,where high-risk population screening can be achieved through re-mote data.

Objective To understand the nursing practice of prone position ventilation for patients with moderate to severe acute respiratory distress syndrome(ARDS)in intensive care unit(ICU)in Shandong province,so as to provide basis for standardizing the nursing practice process of prone position ventilation and carrying out training for hospitals.Methods A self-made questionnaire was used,and convenience sampling was adopted.From September 15th to November 5th,2023,ICU nurses were selected from various hospital levels in Shandong province to investigate the obstructive factors of prone ventilation implementation,the weak links in nursing practice and status,and the occurrence of complications.Results A total of 1 188 questionnaires were collected,of which 991 were valid.92.8%(920/991)of nurses had performed prone position ventilation.The biggest obstacle to the implementation of prone position ventilation was the complexity of patient treatments and multiple devices involved[74.6%(686/920)].Regarding the status of training,90.5%(897/991)of nurses had received training on prone position ventilation and 77.0%(763/991)of nurses felt that training was needed.As for pre-operation assessment,more than 80.0%of nurses evaluated patients'vital signs,airway and secretions and so on,among which the evaluation awareness of analgesia was the worst[81.6%(751/920)].As for the main points of implementation,only 14.0%(129/920)of nurses chose the opposite side of the most important pipeline as the turning direction;48.6%(447/920)of nurses chose the anti-Trendelenburg position;36.3%(334/920)of nurses chose to ventilate≥12 hours.Facial edema[81.7%(752/920)],skin pressure injury[78.9%(726/920)]and eye complication[75.8%(697/920)]were the top 3 most frequent complications.Conclusions ICU nurses'prone position ventilation practices were generally line with the nursing team standard for prone position of adult mechanically ventilated patients and the best evidence recommendation,and needs to be further standardized in aspects of turning direction,position management,ventilation duration,and enteral nutrition management.It is recommended that nursing managers at all levels of hospitals further improve the quality of nursing practice of prone position ventilation according to relevant evidence-based evidence and the actual situation of hospitals.

Objective:To describe the prevalence of anxiety disorders and its distribution in Inner Mongolia Autonomous Region,and to explore the relevant factors of anxiety disorders.Methods:From June 2019 to Decem-ber 2019,representative multi-stage disproportionate stratified sampling procedure was used to sample in residents aged 18 and over in the Inner Mongolia Autonomous Region.All respondents were face-to-face interviewed by trained interviewers.Composite International Diagnostic Interview-3.0(CIDI-3.0)was used to diagnose anxiety disorders according to the criteria and definition of the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ).Chi-square test and multivariate logistic regression analysis were used for statistical anal-ysis.Results:Totally 12 315 people were interviewed in the survey.The weighted 12-mouth prevalence rate of any anxiety disorder was 4.64％,and the lifetime prevalence rate was 6.25％.The weighted 12-month prevalence rate of anxiety disorders was higher in female than that in male(5.38％vs.3.92％).The rate was higher in rural resi-dents than that in urban residents(5.67％vs.3.95％).The rate was higher in people with chronic diseases than that in people without chronic diseases(6.81％vs.2.29％).Logistic regression analysis showed that unmarried(OR=2.32,95％CI:1.31-4.10),separated/divorced(OR=2.49,95％CI:1.33-4.67),in debt(OR=1.55,95％CI:1.04-2.32),chronic disease(OR=2.22,95％CI:1.39-3.53),family history of anxiety disorders(OR=12.05,95％CI:8.78-16.53),poor sleep(OR=2.64,95％CI:1.97-3.54)were risk factors of occurrence of anxiety disorders,while junior high school(OR=0.65,95％CI:0.44-0.96)was protective factor of anxiety disor-ders.Conclusion:Adults with chronic diseases,poor sleep,unmarried or separated/divorced,family history of anxi-ety disorders,and financial debt are at higher risk groups of anxiety disorder in Inner Mongolia Autonomous Re-gion.

Objective:To describe the prevalence and distributions of mood disorder in Inner Mongolia Au-tonomous Region,and analyze the related risk factors.Methods:The multistage stratified sampling method with un-equal probability was used to select permanent residents aged 18 years and over in Inner Mongolia Autonomous Re-gion.The Composite International Diagnostic Interview 3.0 was used as a diagnostic tool.Mood disorders were di-agnosed according to the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition(DSM-Ⅳ).Single and multivariate analyses were used to investigate the related factors of mood disorders.Results:Totally,12 315 community residents were interviewed in the survey.The weighted 12-month prevalence and lifetime prevalence of mood disorder were 5.4％and 8.7％,respectively.Weighted 12-month prevalence of depressive disorder was 4.9％,and that of bipolar disorder was 0.3％.Among all subtypes of mood disorder,the 12-month prevalence rate of major depressive disorder(3.1％)was the highest.Multivariate logistic regression analysis showed that female,unmarried,separated or divorced,unemployment,family history,other mental disorders,sleep disorders and chronic diseases(OR=1.56,2.80,2.07,1.42,13.46,7.97,3.23,2.13)were risk factors of mood disorder,while aged 65 years and over(OR=0.44)was protective factor of mood disorders.The lifetime consultation rate in patients with mood disorders was 15.5％,the rate of psychiatric consultation was 3.7％,the rate of medication was 1.8％.Con-clusion:It indicates that female residents and people who are unmarried,separated and divorced,unemployed,with family history,suffering from other mental disorders,suffering from sleep disorders,and suffering from chronic dis-eases may be high risk groups of mood disorders,and the utilization rate of health services is rather low in Inner Mongolia Autonomous Region.

Objective This study aims to investigate controversial cases of forensic clinical re-identification of fractures,exploring the characteristics,causes,and countermeasures related to identification errors in primary bone injuries,complications,and subsequent changes.The goal is to provide identification strategies for similar cases regarding the collection of identification materials,timing,and examination method selection,ultimately establishing a paradigm for such identifications.Methods A total of 103 cases of clinical re-identification of fractures accepted by the West China Forensic Identification Center from 2020 to 2024 were collected,and the data from initial identifications and re-identifications were retrospectively analyzed.Results Male cases accounted for 69.90%of the re-identifications,with disability grade(67.96%)and injury degree(30.10%)being the primary concerns.Individual requests represented a high proportion(92.86%)in the initial assessment of disability levels,while unit or joint requests dominated the re-assessment(92.86%).The agreement rates for disability grade and injury degree were 55.26%and 59.38%,respectively.The reassessment of disability grades primarily involved fractures of limb long bones,spine,and ribs,with 75.53%of opinions resulting in downgraded disability levels.Rib,orbital,and nasal bone fractures were the main focus in injury degree reassessments,with 84.62%of opinions indicating aggravated injuries.The consistency rates for fracture identification in disability grade assessments was 92.21%,while rates for injury degree and sequelae were 65.63%and 48.94%,respectively.Inconsistencies in identifying damage facts—including the presence of fractures,distinguishing between fresh and old fractures,and determining the nature of fractures and sequelae—were primarily noted in rib,orbital,and nasal bone fractures.The utilization rate of CT metadata in initial evaluations(25.00%)was significantly lower than in re-evaluations(95.00%).The identification time for joint mobility dysfunction after fracture in re-identifications was significantly longer than in initial identifications(P=0.0002),and the identification time for cases with agreement was significantly shorter than for cases with disagreement(P=0.036).Conclusion Image data type and identification timing are critical factors that may influence the accuracy and consistency of forensic clinical identification of bone injuries.When necessary,dynamic CT metadata in conjunction with image post-processing technology can be routinely employed to identify fractures of the ribs,orbital bones,or nasal bones,thereby reducing the risk of misidentification.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.