Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10 /L vs preoperative 3.07×10 /L, P<0.001), with significant upregulation of CD11b (7.30×10 /L vs preoperative 3.05×10 /L, P<0.001) and CD54 (7.15×10 /L vs preoperative 2.99×10 /L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10 /L vs preoperative 1.12×10 /L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10 /L vs preoperative 1.12×10 /L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.

Objective: To investigate the current status and influencing factors of quality of life among HIV/AIDS cases, so as to provide the basis for improving HIV/AIDS cases quality of life. Methods: From March to July 2024, HIV/AIDS cases under follow-up management at various community health service centers in Jinshan District, Shanghai Municipality, were selected as the survey subjects using a convenience sampling method. Demographic information and receiving antiretroviral therapy (ART) were collected through questionnaire surveys. Quality of life was assessed using the Chinese version of the World Health Organization Quality of Life Questionnaire for HIV brief version. A multiple linear regression model was employed to analyze the factors affecting quality of life. Results: A total of 179 HIV/AIDS cases were investigated, including 150 males (83.80%) and 29 females (16.20%), with a mean age of (47.00±12.90) years. The subjective self-evaluation score for the quality of life among HIV/AIDS cases was (13.87±2.84) points. The scores in the domains of physical, psychological, independence, social relationship, environment, and spiritual support/religion/personal beliefs were (14.77±2.64) (13.57±2.04) (13.86±2.04) (12.99±2.26) (13.58±1.98) (14.59±3.05) points, respectively. Multiple linear regression analysis revealed statistically significant associations (all P<0.05) between the following factors and quality of life domain scores: educational level (college degree or above, β' =0.162) and receiving ART (β' =-0.197) were associated with the subjective self-evaluation domain score; educational level (college degree or above, β' =0.186) and receiving ART (β' =-0.299) were associated with physical domain score; receiving ART (β' =-0.263) and symptoms related to sexually transmitted diseases (β' =-0.243) were associated with psychological domain score; occupation (retirees, β' =-0.191) and symptoms related to sexually transmitted diseases (β' =-0.220) were correlated with the independence domain score; annual household income per capita (≥30 000 yuan, β' =0.281) and receiving ART (β' =-0.299) were correlated with the social relationship domain score; educational level (college degree or above, β' =0.206) and receiving ART (β' =-0.285) were correlated with the environment domain score; and receiving ART (β' =-0.492) and duration since HIV confirmation (3 to <6 years, β' =0.233; ≥6 years, β' =0.161) were correlated with the spiritual support/religion/personal beliefs domain score. Conclusions The overall quality of life among HIV/AIDS cases in Jinshan District is relatively good, but the domains of psychological, independence, and social relationship were still room for improvement. It is mainly influenced by factors such as occupation, educational level, annual household income per capita, receiving ART, symptoms related to sexually transmitted diseases, and duration since HIV confirmation.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

Myocardial fibrosis is a serious cause of heart failure and even sudden cardiac death. However, the mechanisms underlying myocardial ischemia-induced cardiac fibrosis remain unclear. Here, we identified that the expression of sterile alpha and TIR motif containing 1 (SARM1), was increased significantly in the ischemic cardiomyopathy patients, dilated cardiomyopathy patients (GSE116250) and fibrotic heart tissues of mice. Additionally, inhibition or knockdown of SARM1 can improve myocardial fibrosis and cardiac function of myocardial infarction (MI) mice. Moreover, SARM1 fibroblasts-specific knock-in mice had increased deposition of extracellular matrix and impaired cardiac function. Mechanically, elevated expression of SARM1 promotes the deposition of extracellular matrix by directly modulating P4HA1. Notably, by using the Click-iT reaction, we identified that the increased expression of ZDHHC17 promotes the palmitoylation levels of SARM1, thereby accelerating the fibrosis process. Based on the fibrosis-promoting effect of SARM1, we screened several drugs with anti-myocardial fibrosis activity. In conclusion, we have unveiled that palmitoylated SARM1 targeting P4HA1 promotes collagen deposition and myocardial fibrosis. Inhibition of SARM1 is a potential strategy for the treatment of myocardial fibrosis. The sites where SARM1 interacts with P4HA1 and the palmitoylation modification sites of SARM1 may be the active targets for anti-fibrosis drugs.

Objective To investigate the predictive value of combined radiomic features derived from chest CT scans with clinical characteristics for epidermal growth factor receptor(EGFR)gene mutations in non-small cell lung cancer(NSCLC).Methods A multi-center case-control study was conducted on the clinical data and CT images of 1 070 NSCLC patients from the radiology departments of the 3 medical institutions between January 2013 and October 2023.The 719 NSCLC patients from the First Affiliated Hospital of Army Medical University were randomly divided into a training set and an internal validation set in a ratio of 7∶3;The 173 patients in the Eastern Theatre General Hospital and the 178 patients in Army Medical Centre of PLA were assigned into the external validation set 1 and 2,respectively.Least absolute shrinkage and selection operator(LASSO)regression was employed to identify the optimal radiomic features,which were subsequently used to construct a radiomics model.Univariate and multivariate logistic regression analyses were applied to identify clinical features associated with EGFR mutation,thereby developing a clinical model.The radiomic and clinical features were subsequently combined to develop a comprehensive model.All the 3 classification models were built using random forest(RF)machine learning.The area under curve(AUC),accuracy,sensitivity and specificity were utilized to evaluate the predictive performance of the models.Calibration curve was plotted to assess the goodness of fit of the comprehensive model,while decision curve analysis was performed to assess the clinical utility of the model.Results The AUC value of the radiomics model was 0.762 4(95%CI:0.692 4～0.825 1),0.745 4(95%CI:0.671 1～0.814 3),and 0.724 7(95%CI:0.639 7～0.801 6),respectively,in the internal validation set,external validation set 1,and external validation set 2;The AUC value of the clinical prediction model was 0.691 7(95%CI:0.627 9～0.757 6),0.652 5(95%CI:0.576 7～0.729 1),and 0.779 2(95%CI:0.712 5～0.847 3),respectively in the above sets in turn;The comprehensive model constructed based on clinical features and radiomic features showed the best predictive efficacy,with an AUC value of 0.818 0(95%CI:0.757 7～0.874 3),0.782 4(95%CI:0.703 1～0.848 2),and 0.796 6(95%CI:0.718 1～0.868 6),respectively in the above sets.Calibration curve analysis indicated that the comprehensive model had a good fit,while decision curve analysis revealed that the model provided a favorable net benefit.Conclusion Our comprehensive model constructed based on chest CT radiomic features and clinical characteristics shows superior predictive performance for EGFR gene mutations in NSCLC across multiple center datasets,which may be helpful for clinical decision-making for treatment strategies.

Objective To evaluate the predictive value of deep learning features from chest CT images combined with clinical and radiomics features for epidermal growth factor receptor(EGFR)mutations in non-small cell lung cancer(NSCLC).Methods This case-control study retrospectively analyzed clinical and imaging data of 1 070 NSCLC patients from radiology departments at three hospitals(January 2013 to October 2023).Patients were divided into:a training set(n=502)and internal validation set(n=217)via 7∶3 randomization of 719 cases from the First Affiliated Hospital of Army Medical University;external validation set 1(n=173)from General Hospital of Eastern Theater Command;external validation set 2(n=178)from Daping Hospital of Army Medical University.Deep learning features were extracted using a 2.5D convolutional neural network(CNN)with ResNet101 backbone,radiomics features were derived from CT images,and clinical risk factors were identified to construct models.An integrated model combined deep learning,clinical,and radiomics features.All four models were developed using random forest(RF)classifiers.Calibration curves assessed goodness-of-fit,and decision curve analysis(DCA)evaluated clinical utility.Results The deep learning model achieved AUCs of 0.833 7(95%CI:0.770 6～0.884 7),0.815 1(0.741 6～0.882 8),and 0.810 1(0.745 2～0.873 6)in the internal and two external validation sets,respectively.Clinical models yielded AUCs of 0.731 0(0.660 2～0.802 1),0.746 0(0.666 4～0.824 9),and 0.813 4(0.743 1～0.883 6);radiomics models showed AUCs of 0.762 4(0.692 4～0.825 1),0.745 4(0.671 1～0.814 3),and 0.724 7(0.639 7～0.801 6).The integrated model demonstrated optimal performance with AUCs of 0.905 5(0.857 0～0.945 4),0.832 7(0.763 3～0.896 4),and 0.889 0(0.834 4～0.934 3).DCA indicated significant net benefit for EGFR prediction at threshold probabilities of 0.15～0.85 using the integrated model.Conclusion Deep learning features from CT images effectively predict EGFR mutation status in NSCLC.The integrated model combining deep learning,clinical,and radiomics features further enhances predictive performance.

The in-depth research of artificial intelligence in the medical field has greatly improved the workflow and diagnostic ability of diagnostic radiology.This article focuses on artificial intelligence technology in the field of interventional medicine,and enumerates its potential application scenarios,including improving image analysis capabilities to assist diagnosis and predict treatment response.It also describes the challenges that need to be overcome for practical application.Finally,with the continuous development of artificial intelligence in interventional medicine,artificial intelligence will further optimize the channels of interventional medicine and bring revolutionary changes to the clinical practice of interventional medicine.

Objective:To explore the impact of adolescent mental health status on smartphone addiction, and construct a predictive model for smartphone addiction based on the eXtreme Gradient Boosting(XGBoost) algorithm and multivariate Logistic regression.Methods:In April 2023, a cross-sectional survey was conducted among 14 666 adolescents.All participants were systematically evaluated using a self-developed general information questionnaire, the middle school student mental health scale(MSSMHS), the adolescents self-harm scale(ASHS), the interaction anxiousness scale(IAS), the mobile phone addiction index(MPAI), the middle school students shame scale(MSSS), the UCLA loneliness scale(UCLA-LS), the multidimensional peer victimization scale(MPVS), and the basic psychological needs scale(BPNS).R software version 4.3.2 was used for data analysis. Participants were randomly divided into training set and validation set at the ratio of 7∶3.The XGBoost model and multivariate logistic regression model were constructed to predict the risk of smartphone addiction, and a nomogram was plotted.Model performance was evaluated using the Hosmer-Lemeshow test, area under the curve(AUC), and accuracy(ACC).Results:(1) A total of 14 036 high school students were included in the study, with 5 069(36.1%) exhibited smartphone addiction.The training set comprised 9 826 students, with 3 549(36.1%) being smartphone addicts.The validation set included 4 210 students, with 1 520(36.1%) being smartphone addicts.(2) The XGBoost model identified shame-proneness and social anxiety as the two main predictors of smartphone addiction.(3) Multivariate Logistic regression analysis revealed that anxiety( B=0.328, OR(95% CI)=1.39(1.07-1.81), P=0.015), interpersonal sensitivity( B=0.311, OR(95% CI)=1.36(1.05-1.77), P=0.018), learning pressure( B=0.606, OR(95% CI)=1.83(1.46-2.31), P<0.001), mood swings( B=0.775, OR(95% CI)=2.17(1.70-2.78), P<0.001), social anxiety( B=0.024, OR(95% CI)=1.02(1.01-1.04), P<0.001), shame-proneness( B=0.049, OR(95% CI)=1.05(1.04-1.06), P<0.001), and peer victimization( B=0.037, OR(95% CI)=1.04(1.02-1.06), P<0.001) were significant predictors of smartphone addiction.(4) The ACC and AUC values of the XGBoost model were 0.890 and 0.929 in the training set, and 0.865 and 0.864 in the validation set, respectively.The multivariate Logistic regression model achieved ACC and AUC values of 0.870 and 0.854 in the training set, and 0.867 and 0.859 in the validation set, respectively. Conclusion:Anxiety, interpersonal sensitivity, learning pressure, mood swings, social anxiety, shame-proneness, and peer victimization are identified risk predictors of smartphone addiction in high school adolescents.

Objective:In alignment with the practical teaching objectives of Diseases of the Locomotor System and the competency requirements for graduates of military medical universities, this study conducted a multidimensional modification of the traditional objective structured clinical examination (OSCE) to provide a novel training mode that enhances the effectiveness of practical teaching of this course.Methods:The traditional OSCE was modified from the four dimensions of integration, individuality, immersion, and intelligence. The first three stations were set as "diagnosis" and the last three stations were set as "operation" to reflect the "integration" of diagnosis and treatment. The last station of "operation" was set as "medical cares of combat and training injuries" to reflect "individuality" of military medical training. The method of situation creation was used to reflect "immersion", and the application of intelligent terminals reflected "intelligence". The study involved 50 trainees who were assigned to either a modified OSCE group or a traditional teaching group through a random drawing process. The teaching effectiveness was assessed through evaluation of theoretical knowledge, practical skills, and participant satisfaction. The statistical analysis was conducted by SPSS 22.0, with parametric data assessed by t-tests and non-parametric data assessed by chi-square tests. Results:Before entering the department, there were no statistically significant differences in theoretical ( P=0.832) and practical ( P=0.513) scores between the two groups of trainees. However, after the internship, the modified OSCE group demonstrated significantly enhanced scores compared to the traditional teaching group, both in theory assessment [(93.88±1.92) vs. (90.76±2.85), P=0.001] and skill assessment [(94.32±1.25) vs. (91.68±2.82), P=0.001]. Additionally, the self-assessment of clinical capability improvement by the modified OSCE group was markedly higher across all dimensions than the traditional teaching group ( P=0.001). Furthermore, the evaluation conducted by basic combat unit on the job competency of graduated trainees indicated that the modified OSCE group outperformed the traditional teaching group in basic clinical diagnosis and treatment [(4.72±0.46) vs. (3.44±0.71), P=0.001], emergency management of combat and training injuries [(4.72±0.46) vs. (3.52±0.71), P=0.001], application of information technology [(4.44±0.71) vs. (3.91±0.80), P=0.029], basic military qualities [(4.40±0.71) vs. (3.92±0.91), P=0.043], mental health and resilience [(4.36±0.70) vs. (3.68±0.85), P=0.003], and the capacity for continuous learning [(4.64±0.70) vs. (3.83±0.76), P=0.001]. Conclusions:The modified OSCE teaching mode can better meet the practical teaching requirements for Diseases of the Locomotor System in the military medical university and thus holds promise for further application.

Objectives:To summarize the characteristics of Fabry′s disease with cardiac involvement.Methods:This was a single-center, cross-sectional, retrospective study. Patients with Fabry disease who were admitted to Zhongda Hospital Affiliated to Southeast University from January 2022 to March 2023 were included. Clinical data, laboratory results, electrocardiogram, echocardiography and cardiac magnetic resonance findings of enrolled patients were collected. Clinical presentations and imaging features of patients with Fabry′s disease with cardiac involvement were summarized and analyzed.Results:A total of 17 patients from 8 families were included, with 9 males and diagnosis age of (44.35±13.72) years. Cardiac involvement and other organ involvement were presented in all patients and the heart was the most vulnerable organ (17/17). 24 h electrocardiogram showed frequent sinus arrhythmia in 3 patients. Echocardiography showed reduced left ventricular ejection fraction in 1 patient, myocardial hypertrophy in 13 patients, and left ventricular wall thickness ≥13 mm in 10 patients. Mitral regurgitation was observed in 11 patients and tricuspid regurgitation in 12 patients. Two patients underwent two-dimensional speckle tracking echocardiography, both revealing reduced regional longitudinal strain of the left ventricle, primarily in the basal segments. Cardiac magnetic resonance showed reduced left ventricular ejection fraction in 2 patients, myocardial hypertrophy in 16 patients, and left ventricular wall thickness≥13 mm in 14 patients. T1 value was reduced in 16 patients, with late gadolinium enhancement observed in 9 patients and “pseudo-normalization” of T1 values in 1 patient. The most susceptible target organ besides the heart was the kidneys (14/17), followed by the central nervous system (9/17). Additional findings inclucling cutaneous angiokeratoma in 4 patients, peripheral neuropathy with burning pain and hypohidrosis or hyperhidrosis in 6 patients, and corneal vortex opacities in 2 patients.Conclusion:The main manifestations of cardiac involvement in Fabry′s disease are decreased cardiac function, left ventricular hypertrophy and myocardial fibrosis. Advanced imaging techniques such as two-dimensional speckle tracking, T1 Mapping, and late gadolinium enhancement are useful in detecting myocardial pathological changes of Fabry′s disease.