BackgroundNon-suicidal self-injury （NSSI） behavior among adolescents has become a global public health concern. Anxiety and depression are considered key factors influencing NSSI behavior， while social support may play a protective role in alleviating emotional and behavioral issues. However， existing research has primarily focused on the direct impact of individual factors on NSSI behavior， with insufficient exploration of the combined effects of anxiety， depression and social support. ObjectiveTo investigate the direct effect of anxiety on NSSI， the mediating role of depression and the moderating role of social support in relationship between anxiety and NSSI behavior， thus to provide references for the prevention and intervention of NSSI behavior among adolescents. MethodsIn February 2022， a total of 40 820 students in grades 7 to 12 across 10 middle schools in a district of Chengdu were selected as participants， and they were assessed using Generalized Anxiety Disorder Scale-7 item （GAD-7）， Patient's Health Questionnaire Depression Scale-9 item （PHQ-9）， Social Support Scale for Urban Students （SSSUS） and Adolescent Self-Harm Scale （ASHS）. Pearson correlation analysis was conducted to examine the correlations between scale scores among adolescents with NSSI behaviors. Mediation and moderation analyses were performed using Process 3.5 in SPSS， and the significance was tested with bootstrapping. The interaction was visualized by using simple slope analysis. ResultsAmong 34 534 （84.60%） valid respondents， 542 adolescents （1.57%） reported engaging in NSSI behavior. Significant differences in gender， GAD-7 scores， PHQ-9 scores， and SSSUS scores were observed between NSSI behavior group and non-NSSI group （χ²/t=62.889， 71.120， 94.365， -41.464， P<0.01）.Adolesents with NSSI showed positive correlations between GAD-7 scores and both ASHS and PHQ-9 scores （r=0.158， 0.166， P<0.01）. PHQ-9 scores were positively correlated with ASHS scores （r=0.364， P<0.01）， but negatively correlated with SSSUS scores （r=-0.290， P<0.01）. SSSUS scores were negatively correlated with ASHS scores （r=-0.247， P<0.01）. Depression partially mediated the relationship between anxiety and NSSI behavior， with an effect size of 0.544 （95% CI： 0.162~0.944）， accounting for 35.79% of the total effect. Social support moderated the relationship between depression and NSSI bahavior， with an effect value of -0.082 （95% CI： -0.135~-0.029）. ConclusionAnxiety not only directly influences NSSI bahavior among adolescents， also indirectly exacerbates it through depression， while social support mitigates the impact of depression on NSSI behavior. ［Funded by Youth Project of National Natural Science Foundation of China （number， 82401812）； Project of Health Commission of Sichuan Province （number， 24LCYJPT18）］

ObjectiveTo analyze the epidemiological characteristics of long COVID and to investigate its main influencing factors by examining individuals infected with SARS-CoV-2 between March and June 2022 in two communities in Shanghai, to lay the foundation for further research on the mechanism and clinical treatment of long COVID, and to provide the basis for the development of inexpensive, convenient, and feasible prevention and intervention strategies. MethodsA cross-sectional study was conducted, enrolling 6 410 individuals infected with SARS-CoV-2. Data were collected through a questionnaire survey. The incidence and common symptoms of long COVID were analyzed, along with their associations with demographic characteristics, medical history, and behavioral factors. A logistic regression model was used to identify the major factors associated with the development of long COVID symptoms. ResultsThe overall incidence rate of long COVID among the study population was 13.9%. The most commonly reported symptoms included fatigue (65.1%), attention disorders (23.1%), and cough (16.9%). The analysis showed that having underlying chronic diseases (OR=2.580, 95%CI: 2.165‒3.074), a history of allergies (OR=1.418, 95%CI: 1.003‒1.971), current smoking (OR=1.461, 95%CI: 1.013‒2.079), ever smoking (OR=2.462, 95%CI: 1.687‒3.551), a greater number of symptoms during the acute phase [1 symptom (OR=1.778, 95%CI: 1.459‒2.162), 2 symptoms (OR=2.749, 95%CI: 2.209‒3.409), ≥3 symptoms (OR=7.792, 95%CI: 6.333‒9.593)] and aggravated symptoms during the acute phase (OR=1.082, 95%CI: 1.070‒1.094) were factors associated with a higher risk of developing long COVID symptoms. Additionally, individuals who had consumed alcohol in the past year (OR=1.914, 95%CI: 1.344‒2.684) were more prone to objective long COVID symptoms. Among individuals under 50 years of age, females (OR=1.427, 95%CI: 1.052‒1.943) were more likely to develop objective long COVID symptoms. ConclusionThis study has identified the diversity of long COVID symptoms, which involve multiple organs and systems, including fatigue, attention disorders, cough, and joint pain. It has also revealed associations between long COVID and various demographic factors (e.g., age, gender), personal medical history (e.g., underlying chronic diseases, history of allergies), acute-phase characteristics (e.g., number and severity of symptoms), and behavioral factors (e.g., smoking, alcohol consumption). These findings highlight the need for further research and ongoing surveillance of long COVID and may inform the development of more targeted health management strategies for specific populations.

This study investigated the role of the nuclear factor of activated T cells c3 (NFATc3) in vascular smooth muscle cells (VSMCs) during aortic aneurysm and dissection (AAD) progression and the underlying molecular mechanisms. Cytoplasmic and nuclear NFATc3 levels were elevated in human and mouse AAD. VSMC-NFATc3 deletion reduced thoracic AAD (TAAD) and abdominal aortic aneurysm (AAA) progression in mice, contrary to VSMC-NFATc3 overexpression. VSMC-NFATc3 deletion reduced extracellular matrix (ECM) degradation and maintained the VSMC contractile phenotype. Nuclear NFATc3 targeted and transcriptionally upregulated matrix metalloproteinase 9 (MMP9) and MMP2, promoting ECM degradation and AAD development. NFATc3 promoted VSMC phenotypic switching by binding to eukaryotic elongation factor 2 (eEF2) and inhibiting its phosphorylation in the VSMC cytoplasm. Restoring eEF2 reversed the beneficial effects in VSMC-specific NFATc3-knockout mice. Cabamiquine-targets eEF2 and inhibits protein synthesis-inhibited AAD development and progression in VSMC-NFATc3-overexpressing mice. VSMC-NFATc3 promoted VSMC switch and ECM degradation while exacerbating AAD development, making it a novel potential therapeutic target for preventing and treating AAD.

AIM: To detect the expression levels of long non-coding RNA(lncRNA)X-inactive specific transcript(XIST)and silencing information regulatory factor 2 associated enzyme 1(SIRT1)in serum of patients with type 2 diabetes mellitus(T2DM), and to explore their correlation with diabetic retinopathy(DR)and their diagnostic value. METHODS: Prospective study. A total of 214 patients with T2DM admitted to our hospital from January 2022 to February 2023 were selected as the research subjects. Based on whether retinopathy occurred, they were divided into 126 cases(126 eyes)in the non-DR group and 88 cases(88 eyes)in the DR group. An additional 130 healthy individuals who underwent a physical examination during the same period were selected as the control group. The serum levels of lncRNA XIST and SIRT1 in the three groups were measured and compared. The relationship between lncRNA XIST and SIRT1 expression with DR was analyzed using Pearson's method. The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of serum lncRNA XIST, SIRT1, and their combination for DR. Multivariate Logistic regression analysis was performed to investigate the factors affecting the occurrence of DR in T2DM patients.RESULTS: Compared with the control group, the levels of serum lncRNA XIST and SIRT1 in the non-DR group and DR group were successively decreased(all P<0.05). The levels of serum lncRNA XIST and SIRT1 were positively correlated in DR patients(r=0.639, P<0.05). ROC analysis showed that the area under the curve(AUC)for predicting DR by combining serum lncRNA XIST and SIRT1 was 0.940, which was higher than the AUC by serum lncRNA XIST and SIRT1 alone(0.855, 0.875). Logistic regression analysis showed that lncRNA XIST(OR=0.752)and SIRT1(OR=0.694)were influencing factors for the occurrence of DR(both P<0.01).CONCLUSION: The serum levels of lncRNA XIST and SIRT1 are both lower in DR patients, and the combination of lncRNA XIST and SIRT1 has a better assessment capacity for the occurrence of DR.

Objective Clinical medical record data associated with hepatitis B-related acute-on-chronic liver failure(HBV-ACLF)generally have small sample sizes and a class imbalance.However,most machine learning models are designed based on balanced data and lack interpretability.This study aimed to propose a traditional Chinese medicine(TCM)diagnostic model for HBV-ACLF based on the TCM syndrome differentiation and treatment theory,which is clini-cally interpretable and highly accurate. Methods We collected medical records from 261 patients diagnosed with HBV-ACLF,includ-ing three syndromes:Yang jaundice(214 cases),Yang-Yin jaundice(41 cases),and Yin jaun-dice(6 cases).To avoid overfitting of the machine learning model,we excluded the cases of Yin jaundice.After data standardization and cleaning,we obtained 255 relevant medical records of Yang jaundice and Yang-Yin jaundice.To address the class imbalance issue,we employed the oversampling method and five machine learning methods,including logistic regression(LR),support vector machine(SVM),decision tree(DT),random forest(RF),and extreme gradient boosting(XGBoost)to construct the syndrome diagnosis models.This study used precision,F1 score,the area under the receiver operating characteristic(ROC)curve(AUC),and accuracy as model evaluation metrics.The model with the best classification per-formance was selected to extract the diagnostic rule,and its clinical significance was thor-oughly analyzed.Furthermore,we proposed a novel multiple-round stable rule extraction(MRSRE)method to obtain a stable rule set of features that can exhibit the model's clinical in-terpretability. Results The precision of the five machine learning models built using oversampled balanced data exceeded 0.90.Among these models,the accuracy of RF classification of syndrome types was 0.92,and the mean F1 scores of the two categories of Yang jaundice and Yang-Yin jaun-dice were 0.93 and 0.94,respectively.Additionally,the AUC was 0.98.The extraction rules of the RF syndrome differentiation model based on the MRSRE method revealed that the com-mon features of Yang jaundice and Yang-Yin jaundice were wiry pulse,yellowing of the urine,skin,and eyes,normal tongue body,healthy sublingual vessel,nausea,oil loathing,and poor appetite.The main features of Yang jaundice were a red tongue body and thickened sublin-gual vessels,whereas those of Yang-Yin jaundice were a dark tongue body,pale white tongue body,white tongue coating,lack of strength,slippery pulse,light red tongue body,slimy tongue coating,and abdominal distension.This is aligned with the classifications made by TCM experts based on TCM syndrome differentiation and treatment theory. Conclusion Our model can be utilized for differentiating HBV-ACLF syndromes,which has the potential to be applied to generate other clinically interpretable models with high accura-cy on clinical data characterized by small sample sizes and a class imbalance.

Background::Genetic variants of dopaminergic transcription factor-encoding genes are suggested to be Parkinson’s disease (PD) risk factors; however, no comprehensive analyses of these genes in patients with PD have been undertaken. Therefore, we aimed to genetically analyze 16 dopaminergic transcription factor genes in Chinese patients with PD.Methods::Whole-exome sequencing (WES) was performed using a Chinese cohort comprising 1917 unrelated patients with familial or sporadic early-onset PD and 1652 controls. Additionally, whole-genome sequencing (WGS) was performed using another Chinese cohort comprising 1962 unrelated patients with sporadic late-onset PD and 1279 controls.Results::We detected 308 rare and 208 rare protein-altering variants in the WES and WGS cohorts, respectively. Gene-based association analyses of rare variants suggested that MSX1 is enriched in sporadic late-onset PD. However, the significance did not pass the Bonferroni correction. Meanwhile, 72 and 1730 common variants were found in the WES and WGS cohorts, respectively. Unfortunately, single-variant logistic association analyses did not identify significant associations between common variants and PD. Conclusions::Variants of 16 typical dopaminergic transcription factors might not be major genetic risk factors for PD in Chinese patients. However, we highlight the complexity of PD and the need for extensive research elucidating its etiology.

Objective To evaluate the effect of exercise-diet behavior intervention based on the transtheoretical model in patients undergoing weight loss surgery.Methods By convenience sampling,72 patients undergoing weight loss surgery in a tertiary general hospital in Xinxiang City,Henan Province from February 2021 to October 2022 were selected as the research subjects.By a random number table method,they were divided into a test group and a control group,with 36 cases in each group.The test group received exercise-diet behavior intervention based on the trans-theoretical model,while the control group received conventional intervention.The intervention began on the first day after admission and ended 6 months after surgery.The body mass index,body fat,lean body mass,diastolic blood pressure,systolic blood pressure,fasting blood glucose,insulin resistance index(HOMA-IR),Health Promoting Lifestyle Profile-Ⅱ(HPLP-Ⅱ)score,and Short-Form-36 Health Survey(SF-36)score were compared between the 2 groups before and after surgery for 3 and 6 months,as well as the complications within 6 weeks after surgery.Results The results of repeated measures analysis of variance showed that there was an interaction between the 2 groups in terms of anthropometric measurements,blood pressure and blood glucose,HPLP-Ⅱ scores,and SF-36 scores,with statistically significant differences(P＜0.001).After 6 months of surgery,the body mass index(23.32±2.32),body fat(24.10±3.46)kg,and lean body mass(41.64±3.24)kg in the test group were lower than(27.32±3.64),(28.46±4.18)kg,and(46.68±4.65)kg in the control group,and the differences were statistically significant(P＜0.001).At 3 and 6 months after operation,the diastolic blood pressure,systolic blood pressure,fasting blood glucose and HOMA-IR of the test group were lower than those of the control group,and the differences were statistically significant(P＜0.05).The HPLP-Ⅱ score of the test group was higher than that of the control group at 3 and 6 months after operation(P＜0.001).The SF-36 score of the test group was significantly higher than that of the control group at 6 months after operation(P＜0.05).The incidence of complications in the test group was 2.56％,which was not significantly different from 19.44％in the control group(P＞0.05).Conclusion The exercise-dietary behavior intervention based on the transtheoretical model can promote the formation of healthy behaviors in patients undergoing weight loss surgery,maintain weight loss effects,improve blood pressure and blood glucose levels,and enhance the quality of life of patients.

Objective:To examine the factors that contribute to memory impairment in elderly stroke patients and develop a predictive model.Methods:One hundred stroke patients from the First People's Hospital of Changzhou were selected to assess the incidence of memory impairment using the Montreal cognitive assessment memory index score(MoCA-MIS).Univariate analysis and multivariate Logistic regression were performed to determine the factors influencing memory impairment in these patients.Additionally, the correlation among relevant scale scores was examined, and a prediction model was developed.Results:In the study, 49 patients(49.0%)did not exhibit memory impairment.Patients with memory impairment were found to have higher proportions of individuals over 75 years old, elevated levels of triglyceride(TG), total cholesterol(TC), low-density lipoproteins cholesterol(LDL-C), and National Institute of Health Stroke Scale(NIHSS)scores compared to those without memory impairment.Conversely, patients without memory impairment had higher proportions of individuals with more than 9 years of education, higher levels of high-density lipoprotein cholesterol(HDL-C), mini-mental state examination(MMSE)scores, Rivermead behavioural memory test-Ⅱ(RBMT-Ⅱ)scores, and picture-based memory impairment screen(PMIS)scores(all P<0.05).Furthermore, Montreal cognitive assessment-memory index(MoCA-MIS)scores in stroke patients with memory impairment showed negative correlations with NIHSS scores, TG, and LDL-C, while showing positive correlations with HDL-C, MMSE scores, RBMT-Ⅱ scores, and PMIS scores(all P<0.05).Multifactorial Logistic regression analysis indicated that years of education, TG, HDL-C, NIHSS score, MMSE score, RBMT-Ⅱ score, PMIS score, and the location of the lesion in the cortex or temporal lobe were significant factors influencing memory impairment in stroke patients(all P<0.05).The receiver operating characteristic curve(ROC)analysis revealed an area under curve(AUC)of 0.955(95% CI: 0.921-0.977)for the prediction model of memory impairment in stroke patients, with a Yoden index of 0.841. Conclusions:The risk of memory impairment in stroke patients is associated with education years and blood lipid levels.Factors such as high education level, active cognitive function, and memory training serve as protective factors against memory impairment.The prediction model developed using these influencing factors demonstrates high predictive accuracy for post-stroke memory impairment.

Objective To systematically retrieve,evaluate and integrate evidences about the assessment and management of perioperative pain in patients with acute aortic dissection.Methods PIPOST model was used to identify themes of assessment and management of perioperative pain.The literatures in the themes was systematically searched through the databases of UpToDate,JBI,BMJ Best Practice,practice guide REgistration for trans RAREncy(PREPARE),Guidelines International Network(GIN),National Guideline Clearinghouse(NGC),National Institute for Health and Care Excellence(NICE),Scottish Intercollegiate Guidelines Network(SIGN),New Zealand Guidelines Group(NZGG),Registered Nurses'Association of Ontario(RNAO),Australian Clinical Practice Guidelines(ACPG),American Heart Association(AHA),European Society of Cardiology(ESC),the Chinese Cochrane Center,Medlive,Cochrane library,PubMed,SinoMed,CNKI,Wangfan Data,and VIP.The retrieved literatures were evaluated and the evidences that met the inclusive criteria were extracted from the literatures by researchers who had trained for evidence-based study.Results A total of 17 studies,including 5 guidelines,3 expert consensus,6 systematic reviews and 3 randomised controlled trials were included in this study.Totally,29 pieces of best evidence were extracted in the assessment and management of pain in perioperative patients with acute aortic dissection,including pain assessment,basic principles of pain management,medication intervention strategies of pain management,non-medication intervention strategies of pain management,pain evaluation,education of pain management and organising pain management.Conclusion Evidences in assessment and management of pain in perioperative patients with acute aortic dissection can provide references and guidance for clinical practice.