Objective: To explore the impact of sleep quality, experience of childhood maltreatment, and their interaction on depressive symptoms among middle school students, so as to provide the reference for early intervention of depressive symptoms among middle school students. Methods: From September to December 2023, a questionnaire survey was conducted among 1 231 students from two secondary schools in Harbin, Heilongjiang Province by a convenient sampling method. The survey included general demographic information, Childhood Trauma Questionnaire Short Form, Pittsburgh Sleep Quality Index and Short Version of Center for Epidemiological Studies Depression Scale. The Chi square test was used to analyze the differences in depressive symptom, sleep quality and childhood maltreatment among students with different demographic characteristics. Correlation analysis was conducted using Logistic regression, and interaction analysis was performed by both additive and multiplicative interaction models. Results: The detection rate of depressive symptoms among middle school students was 22.7%, and the rate for high school students (35.2%) was significantly higher than that for middle school students (17.0%) ( χ 2=50.35, P <0.01). The detection rates of depressive symptoms among middle school students with a history of childhood maltreatment and poor sleep quality were 45.8% and 44.0%, respectively. Multivariate Logistic regression analysis showed that compared to students without a history of childhood maltreatment, students with a history of childhood maltreatment had a higher risk of depressive symptoms ( OR =4.49，95% CI =3.31~ 6.09 , P <0.01);students with poor sleep quality had a higher risk of depressive symptoms than students with good sleep quality ( OR = 5.99，95% CI =4.37~8.22, P <0.01).The interaction results showed that the presence of childhood maltreatment and poor sleep quality had an additive interaction on the occurrence of depression in middle school students. Compared with students without childhood maltreatment and having good sleep quality, students with childhood maltreatment and poor sleep quality had a 22.49 times higher risk of developing depression ( OR =22.49，95% CI =14.22~35.59, P <0.01). Conclusion Depressive symptoms among middle school students are associated with childhood maltreatment and poor sleep quality, and there is an additive interaction between childhood maltreatment and poor sleep quality on the impact of depressive symptoms.

BACKGROUND: Neoadjuvant chemoradiotherapy followed by radical surgery has been a common practice for patients with locally advanced rectal cancer, but the response rate varies among patients. This study aimed to develop a ResNet-Vision Transformer based magnetic resonance imaging (MRI)-endoscopy fusion model to precisely predict treatment response and provide personalized treatment. METHODS: In this multicenter study, 366 eligible patients who had undergone neoadjuvant chemoradiotherapy followed by radical surgery at eight Chinese tertiary hospitals between January 2017 and June 2024 were recruited, with 2928 pretreatment colonic endoscopic images and 366 pelvic MRI images. An MRI-endoscopy fusion model was constructed based on the ResNet backbone and Transformer network using pretreatment MRI and endoscopic images. Treatment response was defined as good response or non-good response based on the tumor regression grade. The Delong test and the Hanley-McNeil test were utilized to compare prediction performance among different models and different subgroups, respectively. The predictive performance of the MRI-endoscopy fusion model was comprehensively validated in the test sets and was further compared to that of the single-modal MRI model and single-modal endoscopy model. RESULTS: The MRI-endoscopy fusion model demonstrated favorable prediction performance. In the internal validation set, the area under the curve (AUC) and accuracy were 0.852 (95% confidence interval [CI]: 0.744-0.940) and 0.737 (95% CI: 0.712-0.844), respectively. Moreover, the AUC and accuracy reached 0.769 (95% CI: 0.678-0.861) and 0.729 (95% CI: 0.628-0.821), respectively, in the external test set. In addition, the MRI-endoscopy fusion model outperformed the single-modal MRI model (AUC: 0.692 [95% CI: 0.609-0.783], accuracy: 0.659 [95% CI: 0.565-0.775]) and the single-modal endoscopy model (AUC: 0.720 [95% CI: 0.617-0.823], accuracy: 0.713 [95% CI: 0.612-0.809]) in the external test set. CONCLUSION The MRI-endoscopy fusion model based on ResNet-Vision Transformer achieved favorable performance in predicting treatment response to neoadjuvant chemoradiotherapy and holds tremendous potential for enabling personalized treatment regimens for locally advanced rectal cancer patients.
Humans ; Rectal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Middle Aged ; Neoadjuvant Therapy/methods* ; Aged ; Adult ; Chemoradiotherapy/methods* ; Endoscopy/methods* ; Treatment Outcome

Objective To explore the effects of behavior change intervention based on the multi-ple-theory model on patients with dyslipidemic ischemic stroke.Methods A total of 93 patients with dyslipidemic ischemic stroke who were hospitalized in the vascular neurology ward of Beijing Tiantan Hospital,Capital Medical University from January to August 2024 were selected as the study subjects using the convenience sampling method.They were randomly divided into control group(n=49)and intervention group(n=44)using the envelope-drawing method.Patients in the control group re-ceived routine stroke health education,while those in the intervention group underwent a 3-month be-havior change program guided by the multiple-theory model.The levels of healthy behaviors,body mass index(BMI),total cholesterol(TC),triglycerides(TG),high-density lipoprotein(HDL-C),and low-density lipoprotein(LDL-C)were compared between the two groups.Results There were no statistically significant differences in general information and disease-related data between the two groups(P＞0.05).At 1-,3-,and 6-month after the intervention,the level of healthy behaviors in the intervention group was higher than that in the control group,with statistically significant differ-ences(P＜0.05).There was a statistically significant difference in BMI between the two groups at 6 months after the intervention(P＜0.05).The TC levels in the intervention group at 3 and 6 months after the intervention were lower than those in the control group,with statistically significant differences(P＜0.05).The HDL-C level in the intervention group at 6 months after the intervention was high-er than that in the control group,with a statistically significant difference(P＜0.05).The LDL-C levels in the intervention group at 1-,3-,and 6-month after the intervention were lower than those in the control group,with statistically significant differences(P＜0.05).There were no statistically significant differences in TG levels between the intervention group and the control group at different time points after the intervention(P＞0.05).Conclusion The behavior change intervention pro-gram based on the multiple-theory model can effectively improve and maintain healthy behaviors and improve blood lipid levels in patients with dyslipidemic ischemic stroke.

[Objective] To investigate the value of total cholesterol to high-density lipoprotein cholesterol ratio (THR), monocyte to high-density lipoprotein cholesterol ratio (MHR), and neutrophil to high-density lipoprotein cholesterol ratio (NHR) in predicting patients’ coronary artery stenosis severity and percutaneous coronary intervention (PCI). [Methods] A total of 6 281 patients who underwent coronary angiography at our hospital between June 2021 and June 2023 were retrospectively included in this study. These patients were divided into two groups: PCI group and non-PCI group. The clinical data, laboratory findings, and interventional treatment data of all patients were collected and analyzed. Pearson correlation analysis was employed to evaluate the correlation of THR, MHR and NHR with the degree of coronary artery stenosis. Binary Logistic stepwise regression and receiver operating characteristic (ROC) curve were utilized to assess the influencing factors and predictive value of THR, MHR and NHR single and combined indexes for coronary artery disease patients undergoing PCI. [Results] The PCI group was observed to be older, with a higher proportion of males, individuals with diabetes mellitus, and those who had undergone THR, MHR, NHR, and a Gensini score than the non-PCI group. Conversely, the proportion of previous stent implantation was less than that of the non-PCI group (P<0.05). The results of Pearson correlation analysis showed a significant and positive correlation of the Gensini score with THR (r=0.351, P<0.001), MHR (r=0.192, P<0.001), and NHR (r=0.236, P<0.001) levels, indicating that these variables had a significantly positive correlation with the degree of coronary artery stenosis. The results of multifactorial Logistic regression demonstrated that age >50 years, male sex, diabetes mellitus, THR, MHR, and NHR were independent risk factors for PCI in patients with coronary artery disease. Conversely, a history of previous stent implantation was identified as a protective factor for PCI in patients with coronary artery disease. Furthermore, the results of ROC curves indicated that the combined area under the curve (AUC) was the largest for THR, MHR, and NHR (AUC=0.809, 95%CI: 0.798-0.820). [Conclusion] THR, MHR and NHR correlate with the degree of coronary stenosis and have strong clinical applications in the assessment of coronary artery disease for PCI.

Jiangsu Provincial People's Hospital takes the reform of DRG payment method as an opportunity,based on the theory of incentive behavior,uses literature research,expert consultation,and key performance indicator methods to develop evaluation indicators,and applies PDCA management tools to establish a continuously improving medical insurance service quality evaluation system.It introduces the process of medical insurance service quality evaluation system construction and its application in medical insurance performance management,and analyzes the implementation effect:DRG operation is improving,disease group structure is optimized,medical quality and efficiency continue to improve,and medical service evaluation scores are improving.

Objective This study analyzes the omics data resources in human-infecting coronavirus animal models collected from various public databases,focusing on data distribution,dataset quantity,data types,species,strains,and research content.It aims to enhance our understanding of biological characteristics and pathogenic mechanisms of coronaviruses,thereby providing a solid foundation for devising effective therapeutic strategies and preventive measures.Methods Query strategies,including specific virus names,time ranges,and inclusion and exclusion criteria,were defined to retrieve data from major public omics databases such as GEO and ArrayExpress.Secondary filtering was performed based on different field types to obtain a more accurate data list.An omics data text database was established for bibliometric analysis.Co-occurrence networks were constructed for the analysis of the correlation strengths between different research themes,technical methods,and involved species.The cell types,organs,and biological pathways involved in studies were examined to further elucidate the pathogenic interplay between pathogens and hosts.Results About twenty public databases containing coronavirus-related omics data were identified,with a primary focus on novel coronavirus infection.Commonly used species include humans,mice,hamsters,and monkeys,while the commonly used virus strains are Wuhan-Hu-1 and USA-WA1/2020.Lung tissues are primarily used in animal models such as mice,macaques,and ferrets,while airway epithelial cells and Calu-3 cells are predominantly employed in human-related studies.Expression profiling data indicate that gene pathways involved in inflammation,cytokine response,complement pathway,cell damage,proliferation,and differentiation are significantly upregulated after infection.Proteomics studies reveal significant changes in phosphoproteome,ubiquitinome,and total proteome of patient samples at different infection stages.Specific protein categories,including viral receptors and proteases,transcription factors,cytokines,proteins associated with coagulation system,angiogenesis-related proteins,and fibrosis markers,show alterations after coronavirus infection.In addition,metabolomics data suggest that phosphocholine,phosphoethanolamine,arachidonic acid,and oleic acid could serve as potential metabolic markers.Epigenomics research indicates m6A methylation plays a role in SARS-CoV-2 replication,infection,and transmission,affecting host cell-virus interactions.Among these,N,S,and non-structural proteins 2 and 3 exhibit the most significant ubiquitination.Trends in microbiomics research suggest that microbial communities in the gut and wastewater are emerging as new research focuses.Conclusion The data types of coronavirus omics are diverse,with a wide variety of models and cell types used.The selection of species and technical methods for modelling varies based on the characteristics of different viruses.Multi-omics data from animal models of coronavirus infection can reveal key interactions between hosts and pathogens,identifying biomarkers and potential therapeutic targets,and provide valuable information for a deeper understanding of biological characteristics and infection mechanisms of coronaviruses.

Objective To explore the mediating effect of facial emotion recognition on prosocial behavior of medical students in mask-obscured scenes.Methods Fifty-three medical students from a medical university in Chongqing were enrolled from July to September 2023 to complete the facial emotion recognition task,the dictator gaming task and the state empathy test.Spearman correlation analysis was used to examine the correlation between mask wearing and state empathy,trait empathy and prosocial behaviours,and the PROCESS procedure was used to test the mediation of state empathy and the moderating effect of mask wearing or not.Results ①mask wearing,state empathy and prosocial behaviour were significantly correlated(P＜0.01);② State empathy exerted mediated effect between facial emotion recognition and prosocial behavior,with the largest effect size(47％)for the relative mediating effect of sadness;③The interaction terms of facial emotion recognition and mask wearing had a significant effect on state empathy(P＜0.05).Conclusion Facial emotion recognition can influence prosocial behavior directly and also exert indirect effect on prosocial behavior through state empathy.Compared to the condition without mask wearing,mask wearing can significantly facilitate the effect of happy,sad and neutral emotions on state empathy.

This study aims at developing a dataset for determining the presence of carotid artery plaques in ultrasound images,composed of 1761 ultrasound images from 1165 participants.A deep learning architecture that combines bilinear convolutional neural networks with residual neural networks,known as the single-input BCNN-ResNet model,was utilized to aid clinical doctors in diagnosing plaques using carotid ultrasound images.Following training,internal validation,and external validation,the model yielded an ROC AUC of 0.99(95%confidence interval:0.91 to 0.84)in internal validation and 0.95(95%confidence interval:0.96 to 0.94)in external validation,surpassing the ResNet-34 network model,which achieved an AUC of 0.98(95%confidence interval:0.99 to 0.95)in internal validation and 0.94(95%confidence interval:0.95 to 0.92)in external validation.Consequently,the single-input BCNN-ResNet network model has shown remarkable diagnostic capabilities and offers an innovative solution for the automatic detection of carotid artery plaques.

Objective:This study introduces a novel approach utilizing a self-made drug delivery cannula implanted into the cerebellomedullary cistern(CMC)of rats to allow repeated administrations in conscious subjects.Methods:A self-made medication cannula is inserted through a drilled hole at the midpoint of the occipital crest of the rat's skull,de-scending along the inner wall of the occipital bone until reaching the CMC,and securing it in place with skull screws and self-curing resin.Lipopolysaccharide(LPS)is injected into the CMC to induce neuroinflammation,and the feasibility of this method is assessed using X-ray imaging,behavioral testing,and immunofluorescence staining.Results:The place-ment of the brain cannula was confirmed using X-ray film and pontamine sky blue staining.Rats in the LPS group exhib-ited a lower facial mechanical pain threshold compared to the Control group(P＜0.001),along with reduced residence time in the open field center(P＜0.01).Immunofluorescence staining revealed LPS-induced activation of caudal spinal trigeminal nucleus(SpVc)microglia.Conclusion:This method proves to be suitable for multiple administrations to the cerebellomedullary cistern of conscious rats,enabling the study of the SpVc's role in pain modulation.

Objective:To explore the benefits of transradial diagnostic cerebral angiography in elderly patients and its correlation with morphometric parameters of the aortic arch.Methods:Clinical data and aortic arch CTA imaging parameters of patients who underwent cerebral angiography at the Department of Neurosurgery, Beijing Hospital, between May 2022 and April 2023 were retrospectively analyzed.The study aimed to compare the time taken for angiography via radial artery access in elderly patients versus younger patients, as well as via femoral artery access, and to evaluate the associated aortic arch morphology parameters.Results:A total of 101 patients' data were analyzed, with 67 males(66.3%)and an average age of 63.4±12.0 years.Among them, 69 patients(68.3%)were aged 60 and above.The arterial approach for 44 patients(43.6%)was radial, while 57 cases(56.4%)used the femoral artery approach.In the elderly group, 14 cases(20.6%), 31 cases(45.6%), and 23 cases(33.8%)had type Ⅲ aortic arch, respectively.For younger patients, 17 cases(53.1%), 12 cases(37.5%), and 3 cases(9.4%)fell into these categories.The distribution difference was statistically significant( χ2=12.765, P=0.002).Elderly patients had a larger aortic arch width angle compared to younger patients(106°±12°and 100°±12°, t=2.334, P=0.022).The time for whole-brain angiography via radial artery was shorter for elderly patients than via femoral artery(39.8±29.5 minutes and 52.2±28.4 minutes, respectively, t=1.845, P=0.070).In young patients, there was no significant time difference between the two approaches(42.3±30.4 minutes for radial artery and 34.6±11.2 minutes for femoral artery, t=1.026, P=0.313).In the type Ⅱ aortic arch group, the average times for transradial and transfemoral approaches were 38.1±21.7 minutes and 46.7±32.2 minutes, respectively( t=1.020, P=0.314).The average times for the type Ⅲ aortic arch group were 41.9±37.3 minutes and 48.9±20.7 minutes, respectively.Correlation analysis revealed a significant negative correlation between the duration of radial artery access and the distance from the origin of the innominate artery to the left subclavian artery(Pearson correlation coefficien( r=-0.372, P=0.014). Conclusions:In elderly patients, particularly those with type Ⅱ or Ⅲ aortic arch or a wide aortic arch, diagnostic cerebral angiography using transradial access is preferable to femoral access.The distance between the innominate artery and the left subclavian artery origin could impact the duration of the procedure.