Objective: To investigate the assocation of sedentary behavior among college students on psychological health issues, such as depressive, anxiety, and stress symptoms, and to analyze the moderating role of takeaway consumption behavior in the context, in order to provide a scientific basis for reducing emotional symptoms among college students. Methods: A stratified cluster sampling method was employed to conduct a questionnaire on 3 427 first year students of a higher education institution in Hefei of Anhui Province from May to June 2021. The study variables included demographic characteristics, sedentary time, takeaway consumption behavior, and emotional (symptoms depressive, anxiety, and stress symptoms). The Spearman correlation analysis was used to analyze the association between variables, and linear regression analysis was used to analyze the association between takeaway consumption behavior and depressive, anxiety and stress symptoms among college students with sedentary time. Results: Both sedentary time and takeaway consumption behavior were positively correlated with depressive, anxiety and stress symptoms among college students ( r =0.10, 0.10, 0.10; 0.10, 0.11, 0.11, all P <0.05). The results of linear regression analysis showed that the interaction term between takeaway consumption behavior and sedentary time was positively correlated with symptoms of depressive, anxiety, and stress symptoms among college students (depression: β =0.04, anxiety: β =0.04, stress: β =0.04, all P <0.05). The results of the simple slope test demonstrated that regardless of the level of takeaway consumption behavior, sedentary time was positively correlated with the depressive symptoms of college students; compared with low takeaway consumption behavior, high takeaway consumption behavior ( β=0.77, P <0.01) enhanced the association between sedentary time and depressive symptoms among college students. In addition, under the condition of high takeaway consumption behavior, sedentary time was positively correlated with the anxiety and stress symptoms of college students (anxiety: β =0.64; stress: β =0.71, both P <0.01); while under the condition of low takeaway consumption behavior, sedentary time was not related to the anxiety and stress symptoms of college students ( β =0.17, 0.22, both P >0.05). Conclusions Sedentary behavior is related to a the emotional symptoms of depressive, anxiety, and stress among college students. Takeaway consumption behavior may exacerbate this impact.

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.

Objective: To establish and validate a whole blood (WB) supply model, thereby providing practical experience for the clinical application of WB in domestic trauma emergency care and informing the development of a wartime blood supply system for the military. Methods: A “10×24” WB supply model was established by formulating blood collection protocols, storage standards, and transfusion criteria. Multiple WB samples were tested under specific storage conditions to assess key indicators at different time points, including red blood cell (RBC), white blood cell (WBC), and platelet counts, hemoglobin concentration, coagulation parameters (PT, APTT, TT, FIB), coagulation factor activity, thromboelastography (TEG) parameters, and electrolyte levels. Additionally, clinical data from hemorrhagic patients who met the criteria for WB transfusion and were admitted between March and July 2024 were analyzed to evaluate WB transfusion volume. Results: RBC counts and hemoglobin levels remained stable in WB stored at 4℃ for up to 10 days. However, platelet counts and coagulation function (PT, APTT) significantly declined with prolonged storage, while potassium levels increased. From March to July 2024, the model was successfully applied to 23 patients with acute hemorrhage, with a median WB transfusion volume of 543 mL. A detailed case study of a severe traumatic hemorrhagic shock patient was reported, who was successfully treated with 5.5 units of refrigerated WB combined with component blood. Conclusion: The “10×24” WB supply model demonstrated acceptable changes in critical quality parameters under strict management and a 10-day rotation cycle. This model effectively supports the treatment of acute hemorrhage and holds promise for integration into the future wartime blood supply system of the military.

Objective To look for cognitive assessment paradigms and electrocardiographic(ECG)characteristics sensitive to mental fatigue through an experimental study.Methods Data were collected from 10 healthy students of the University of Shanghai for Science and Technology who participated in the 4-day National Undergraduate Electronics Design Contest,including their Stanford sleepiness scale(SSS)scores,sleep duration,cognitive task performance,and ECG signal data.Ten ECG features,including time-domain,frequency-domain,and information-domain characteristics,were extracted during cognitive tasks.The cognitive task performance and ECG features sensitive to changes in mental fatigue were analyzed.Results Significant differences were observed in SSS scores(x2=23.116,P＜0.001)and sleep duration(x2=19.608,P＜0.001)across the 4 d.For cognitive task performance,word-color congruent accuracy and word-color incongruent accuracy in the Stroop task and Single-visual target stimulus accuracy and Visual target-auditory non-target stimulus accuracy in the audiovisual competition task all showed significant negative correlations with SSS scores(all P＜0.05).Regarding ECG features,Poincaré plot SD2 during the Stroop task was positively correlated with sleep duration(P＜0.05),while Poincaré plot SD2 during the 2-back task was positively correlated with mental fatigue assessment scores and was negatively correlated with sleep duration(both P＜0.05).Conclusion The accuracy of the Stroop task and audiovisual competition task is a cognitive ability indicator sensitive to mental fatigue,while the Poincaré plot SD2 during Stroop and 2-back tasks is an ECG indicator sensitive to mental fatigue.

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 investigate the effect of gender on prognosis after transcatheter patent foramen ovale(PFO)closure in patients with cerebral infarction or transient ischemic attack.Methods A retrospective cohort study was conducted involving patients with cerebral infarction or transient ischemic attack(TIA)who underwent PFO closure at our hospital between January 2013 and December 2023.The patients were grouped by gender,and related data were collected,including age,comorbidities,Risk of Paradoxical Embolism(RoPE)score,laboratory results,findings of transthoracic/transesophageal echocardiography(TTE/TEE),and post-procedural complications,such as device-related thrombosis(DRT),recurrent stroke,bleeding,and atrial fibrillation(AF).Results A total of 112 patients were enrolled,including 59 males and 53 females,at a mean age of 42.47±12.35 years.The females had significantly higher preoperative RoPE score than the males(6.6±1.4 vs 6.0±1.5,P=0.046),and a statistical difference was observed in the distribution of infarction sites between them(Chi-square=10.25,P=0.006),indicating that the males were prone to posterior circulation infarction.Intraoperative transthoracic echocardiography revealed a greater distance from the PFO to the aortic root in the females(9.3±2.4 mm vs 7.6±2.0 mm,P<0.001).During a median follow-up of 4 years,the male group had 1 case of myocardial infarction,1 cerebral hemorrhage,1 paroxysmal AF,2 gingival bleeding episodes,and 1 skin ecchymosis.In the female group,1 case experienced pulmonary embolism,1 paroxysmal atrial fibrillation,3 gingival bleeding episodes,2 skin ecchymoses,2 recurrent cerebral infarctions,and 2 recurrent TIAs.There was no statistical difference in overall adverse events between gender(P=0.291).Although the females had higher rates of recurrent cerebral infarction and TIA,this difference lacked statistical significance(P=0.222).Multivariate Cox regression analysis indicated that after adjusting for various potential confounding factors,such as RoPE score,age,hypertension,coronary heart disease,and other factors,gender was not an independent predictor of composite endpoint events after surgery.Conclusion Gender does not significantly affect overall prognosis after PFO closure in patients with cerebral infarction or TIA.However,females showed a trend toward higher rates of recurrent cerebral infarction and TIA.

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.

Iron is an essential element for living organisms that plays critical roles in the process of bacterial growth and metabolism. However, it remains to be elucidated whether piuB encoding iron-uptake factor is involved in iron uptake and pathogenicity of Xanthomonas axonopodis pv. glycines (Xag). To investigate the function of piuB, we firstly generated a piuB deletion mutant (ΔpiuB) by homologous recombination. Compared with the wild-type, the piuB mutant exhibited significantly reduced growth and virulence in host soybean. The mutant displayed markedly increased siderophore secretory volume, and its sensitivity to Fe³⁺, Cu²⁺, Zn²⁺ and Mn²⁺ was significantly enhanced. Additionally, the H₂O₂ resistance, exopolysaccharide yield, biofilm formation, and cell mobility of ΔpiuB were significantly diminished compared to that of the wild-type. The addition of exogenous Fe³⁺ cannot effectively restore the above characteristics of ΔpiuB. However, expressing piuB in trans rescued the properties lost by ΔpiuB to the levels in the wild-type. Taken together, our results demonstrated that PiuB is a potential factor for Xag to assimilate Fe³⁺, and is necessary for Xag to be pathogenic in host soybean.
Iron ; Glycine max ; Virulence ; Xanthomonas axonopodis/genetics* ; Hydrogen Peroxide

OBJECTIVE: To explore the feasibility and effectiveness of a foldable pedicled latissimus dorsi myocutaneous flap to repair soft tissue defects in the shoulder and back. METHODS: Between August 2018 and January 2023, the foldable pedicled latissimus dorsi myocutaneous flaps were used to repair soft tissue defects in the shoulder and back of 8 patients. There were 5 males and 3 females with the age ranged from 21 to 56 years (mean, 35.4 years). Wounds were located in the shoulder in 2 cases and in the shoulder and back in 6 cases. The causes of injury were chronic infection of skin and bone exposure in 2 cases, secondary wound after extensive resection of skin and soft tissue tumor in 4 cases, and wound formation caused by traffic accident in 2 cases. Skin defect areas ranged from 14 cm×13 cm to 20 cm×16 cm. The disease duration ranged from 12 days to 1 year (median, 6.6 months). A pedicled latissimus dorsi myocutaneous flap was designed and harvested. The flap was divided into A/B flap and then were folded to repair the wound, with the donor area of the flap being pulled and sutured in one stage. RESULTS: All 7 flaps survived, with primary wound healing. One patient suffered from distal flap necrosis and delayed healing was achieved after dressing change. The incisions of all donor sites healed by first intention. All patients were followed up 6 months to 4 years (mean, 24.7 months). The skin flap has a good appearance with no swelling in the pedicle. At last follow-up, 6 patients had no significant difference in bilateral shoulder joint motion, and 2 patients had a slight decrease in abduction range of motion compared with the healthy side. The patients' daily life were not affected, and linear scar was left in the donor site. CONCLUSION The foldable pedicled latissimus dorsi myocutaneous flap is an ideal method to repair the soft tissue defect of shoulder and back with simple operation, less damage to the donor site, and quick recovery after operation.
Male ; Female ; Humans ; Young Adult ; Adult ; Middle Aged ; Plastic Surgery Procedures ; Myocutaneous Flap/surgery* ; Shoulder/surgery* ; Skin Transplantation ; Superficial Back Muscles/transplantation* ; Soft Tissue Injuries/surgery* ; Wound Healing ; Treatment Outcome ; Perforator Flap