Objective: To understand current situation epidemiology and associated factors of suicidal ideation among high school students in Yixing, so as to provide basis for targeted intervention. Methods: From March to May 2019, a questionnaire survey was conducted on 12 799 students from 3 junior high schools and 4 senior high schools in Yixing City, Jiangsu Province, using a stratified cluster random sampling method. Latent profile analysis was used to classify suicidal ideation among high school students, the chi square test was used to compare the differences in suicidal ideation among different characteristics of students, multiple Logistic regression was used to analyze influencing factors, a risk predictive nomogram model was constructed and then verified. Results: Three latent classes of suicidal ideation among high school students was divided into three categories were observed: none or mild, moderate, and severe. Among them, 3 034 (23.7%) had moderate suicidal ideation and 753 (5.9%) had severe suicidal ideation. The Logistic regression results showed that gender was female, academic performance was lower midrange, smoking, drinking, popularity with classmates(less popular and unpopularity), family member relationships(general/occasional contradictions/contradictions), trust in others(more trusted/less trusted/less trusted at all), past or current relationships, physical bullying, relationship bullying, verbal bullying, and sexual bullying were the influencing factors for severe suicidal ideation among students ( OR =3.27； 2.18 ；1.63；1.72；2.66, 6.05；3.00,3.29, 6.38；1.71, 6.04, 12.48； 2.50； 1.59； 2.16； 1.45； 1.63, P <0.05). The nomogram prediction model had good discrimination. Conclusions Suicide ideation is influenced by multiple factors. Family and peer situations, as well as being bullied, are all related to the degree the severity of suicidal ideation. Efforts can be made to improve students family and interpersonal relationships, control bullying, then reduce their suicidal ideation which might help prevent suicide ideation among students.

Lung cancer is the leading type of cancer death, and most patients with lung cancer are diagnosed at an advanced stage and have a very poor prognosis. Although low-dose computed tomography (LDCT) has entered the clinic as a screening tool for lung cancer, its false-positive rate is more than 90%. As one of the epigenetic modifications of research hotspots, DNA methylation plays a key role in a variety of diseases, including cancer.Hypermethylation of tumor suppressor genes and hypomethylation of proto-oncogenes are important events in tumorigenesis and development. Therefore, DNA methylation analysis can provide some useful information for the early screening, diagnosis, treatment and prognosis of lung cancer. Although invasive methods such as tissue biopsy remain the gold standard for tumor diagnosis and monitoring, they also have limitations such as inconvenience in sampling. In recent years, there has been a rapid development of liquid biopsy, which can detect primary or metastatic malignancies and reflect the heterogeneity of tumors. In addition, the blood sample can be collected in a minimally invasive or non-invasive format and is well tolerated in older and frail patients. This article explores some of the emerging technologies for DNA methylation analysis and provides an overview of the application of DNA methylation in the diagnosis and treatment of lung cancer.

Objective To carry out a proficiency testing of content determination of geniposide in Gardeniae fructus,evaluate the content determination ability of index components in traditional Chinese medicine in the laboratory of inspection and detection in drug-related fields,and improve the quality control ability of content determination of related laboratories.Methods The laboratory's capability-verification activities were conducted based on the CNAS-RL02 Rules for Proficiency Testing and ISO/IEC 17043 Conformity Assessment-General Requirements for Proficiency Testing.After preparing the sample,the results of homogeneity and stability tests were analyzed according to CNAS-GL003 Guidance on Evaluating the Homogeneity and Stability of Samples Used for Proficiency Testing.After the test results were qualified,they were used as proficiency testing samples and randomly distributed to participants.The results were collected,and the robust statistical method and the Z scores were used to analyze the results of these laboratories'reports.Results 403 laboratories in this proficiency testing program reported the results,of which 367 results were acceptable,accounting for 91.07％,17(4.22％)laboratories obtained suspicious results,and 19 laboratories gave unsatisfactory results,with the dissatisfaction rate of 4.71％.Conclusion The majority of the 403 participant laboratories have the ability to determine the content of geniposide in Gardeniae fructus by HPLC and the laboratory testing ability and quality management level of the drug monitoring system are high.This proficiency testing provides a basis for understanding the technical reserve capacity and management level of China's pharmaceutical inspection and testing laboratories,and provides technical support for future government supervision.

Objective To develop and evaluate a novel inflammatory marker composite score to predict the risk of major adverse car-diac events(MACE)after percutaneous coronary intervention(PCI)in patients with ST-segment elevation myocardial infarction(STE-MI).Methods A total of 256 patients with STEMI admitted to the Third Medical Center of Chinese PLA General Hospital between June 2021 and May 2022 were selected.Six inflammatory markers[neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),red blood cell distribution width-to-platelet ratio(RPR),monocyte-to-lymphocyte ratio(MLR),monocyte-o-high-density lipoprotein ratio(MHR)and globulin-to-albumin ratio(GAR)]were collected on admission.The least absolute shrinkage and selection operator(LASSO)was used to determine the inflammatory markers of MACE risk,and a novel composite score of inflammatory markers was constructed based on the regression coefficient.COX risk regression models were used to analyze the relationship between this scores and MACE risk in STEMI patients.Nomogram models for quantifying MACE risk were constructed using a correlation R package.The model predictive performance and net clinical benefit were assessed by receiver operating characteristic(ROC)curve and clinical de-cision analysis(DCA)curve.Results In 256 STEMI patients followed up for a median of 11 months,52 patients developed MACE,with an incidence of 20.3％.The N.M.P score was constructed based on NLR,MHR and PLR[N.M.P score=(0.900 x NLR level)+(0.102 × MHR level)+(0.039 × PLR level)].Multivariate COX risk regression analysis showed that N.M.P score was not affected by age and SYNTAX score,and was independently associated with MACE risk independent(P＜0.05).ROC curve analysis showed that the area under the curve(AUC)of the nomogram model in predicting the risk of MACE at six months,one year and one and a half years were 0.905,0.920 and 0.897,respectively.DC A curve analysis showed that the nomogram model could provide a significant clinical net ben-efits.Conclusion The N.M.P score developed by integrating NLR,MHR and PLR are effective in predicting the risk of MACE in STE-MI patients.A nomogram model constructed to quantify the risk of MACE in STEMI patients based on the N.M.P score combined with age and SYNTAX score is useful for risk stratification and the development of secondary prevention strategies.

Objective:To determine the level of epilepsy knowledge of caregivers for children with epilepsy and analyze its influencing factors, and investigate caregivers' educational needs and their acceptance for remote education, in order to provide reference for clinical telenursing education.Methods:From March to September 2022, 221 caregivers of epileptic children in the outpatient department and ward of neurology department of Xuzhou Children's Hospital were recruited by convenient sampling method for cross-sectional investigation. The status of caregivers' knowledge and educational needs were investigated by the general information questionnaire, epilepsy knowledge questionnaire, epilepsy knowledge needs questionnaire and telenursing acceptance questionnaire, and the influencing factors of knowledge level were analyzed by multiple linear regression.Results:The average score of epilepsy knowledge of caregivers was (15.68 ± 6.43) points. The course of disease, taking medicine on time, education background and monthly income of caregivers were the influencing factors of caregivers' knowledge level, and the difference was statistically significant ( P <0.05). 94.12% (208/221)- 96.38% (213/221) of the caregivers had high educational needs, and they had the highest demand for safety guidance during seizures. Caregivers' acceptance of remote education was moderate, ranging from 34.39% (76/221) to 71.95% (159/221). Conclusions:Caregivers' epilepsy knowledge needs to be improved. Medical institutions should formulate education plans according to the different characteristics of caregivers. Caregivers have a high demand for nursing knowledge, and medical staff should increase health education. Before giving health education based on remote nursing platform, we should fully understand the attitude of caregivers to the platform, so that they can master disease knowledge, strengthen their disease management ability, and improve the quality of life of children.

Objective: To explore cyberbullying and risk factors of middle school students, and to provide a reference for cyberbullying prevention in school settings. Methods: A stratified cluster random sampling method was used to select 12 940 students from three junior high schools and four senior high schools in Yixing City of Jiangsu Province, China, to conduct a questionnaire survey from March 1 to May 31, 2019. The Chi -square test was performed to compare differences in the prevalence of cyberbullying among groups with different sociodemographic characteristics, and the multivariate Logistic regression model was employed to analyze the risk factors. A risk predictive nomogram model was constructed and then verified. Results: Middle school students were found to be victims of cyberbullying at a rate of 12.3%. The Logistic regression results showed that alcohol use ( OR =1.93), lack of emotional management ( OR =1.30), feeling unsafe ( OR =1.70), not trusting people ( OR =1.66), increased daily online time ( OR =1.39), higher frequency of using social software or websites ( OR =2.24), poor relationships with family members ( OR =1.46), parental neglect ( OR =1.50), class leadership ( OR =1.30) and poor relationships with classmates ( OR =1.34) were risk factors for middle school students who were victims of cyberbullying ( P <0.05). Based on these 10 independent risk factors, the nomogram prediction model, had good discrimination ( AUC =0.73). Conclusion Cyberbullying is common among middle school students. Internet use, parental neglect and class leadership all have an impact on cyberbullying.

Objective: To explore the mediating effect of anxiety, insomnia, and family cohesion between Internet addiction and non suicidal self injury (NSSI) behavior among junior and senior school students, so as to develop interventions to promote adolescent mental health. Methods: A total of 3 026 junior and senior school students from Yixing, Jiangsu Province, China, were selected by stratified cluster sampling from December 2022 to February 2023, and were administered the Ottawa Self injury Inventory (OSI), Depression, Anxiety and Stress Scale-21 (DASS-21), Family Environment Scale-Chinese Version (FES-CV), Insomnia Severity Index (ISI), and Chinese Internet Addiction Scale Revised (CIAS-R). A mediating effect model was constructed to analyze the mediating effect of anxiety, insomnia, and family cohesion on Internet addiction and NSSI. Results: Internet addiction ( r = 0.24), insomnia ( r =0.28), and anxiety ( r =0.27) were positively correlated with NSSI, while the latter was negatively correlated with family cohesion ( r =-0.23) ( P <0.01). The mediating effect model was well fitted ( CFI=0.999, TLI=0.978, RMSEA = 0.030 ). Anxiety (mediation effect value:0.12, 95% CI =0.08-0.18) and family cohesion (mediation effect value:0.08, 95% CI = 0.03 -0.13) had a separate mediating effect. A chain meditating effect was found in the case of anxiety and insomnia (mediation effect value:0.14, 95% CI =0.10-0.20), family cohesion and anxiety (mediation effect value:0.05, 95% CI =0.03-0.07), family cohesion and insomnia (mediation effect value:0.05, 95% CI =0.03-0.07), and family cohesion, anxiety, and insomnia (mediation effect value:0.06, 95% CI =0.04-0.08). The mediating effect accounted for 14.9%, 10.1%, 17.5%, 6.0%, 5.6%, and 7.1%, respectively. Conclusions Anxiety, insomnia, and family cohesion partially mediate Internet addiction and NSSI. Schools and families should pay attention to Internet addiction among junior and senior school students and develop appropriate interventions to promote adolescent mental health, so as to reduce the prevalence of NSSI.

Objective: To explore the association between negative emotion (depression, anxiety and stress), family intimacy and Internet addiction, so as to provide a basis for the intervention of Internet addiction among junior and senior high school students. Methods: Students were selected by stratified random cluster sampling method from junior high schools and senior high schools from December 2022 to February 2023 in Yixing City, Jiangsu Provicne. A total of 3 026 students completed the questionnaire survey, including the demographic characteristics, Depression, Anxiety and Stress Scale-21 (DASS-21), Family Environment Scale-Chinese Version (FES-CV), and Chinese Internet Addiction Scale Revised (CIAS-R). Bivariate correlation was used to analyzed the association of family intimacy, depression, anxiety, stress, and Internet addiction. Mediating effect model was used to analyzed the mediating effect of negative emotion between family intimacy and Internet addiction. Results: The average score of Internet addiction among junior and senior high school students was (46.26±15.58), and there were statistical differences in the average scores of Internet addiction across different grades ( F=87.15, P <0.01). Depression ( r =0.57), anxiety ( r =0.56), stress ( r = 0.57) were positively correlated with Internet addiction, and family intimacy ( r =-0.34) was negatively correlated with Internet diction ( P <0.01). In the mediating effect model, family intimacy negatively predicted negative emotion ( β =-0.48) and Internet addiction ( β =-0.10), and negative emotion positively predicted Internet addiction ( β =0.45) ( P <0.01). Negative emotion played a partial mediating role between family intimacy and Internet addiction (the mediation value:-1.71, 95% CI =-1.96--1.49, mediation ratio:67.9%, P <0.05). Conclusions There are associations between negative emotion, family intimacy and Internet addiction among junior and senior school students. Family intimacy indirectly affects Internet addiction mainly through negative emotion. It suggests that family education is in need of attention to reduce the prevalence rate of Internet addiction among junior and senior high school students, especially family intimacy.

Objective: To understand different types of depression and anxiety among primary and secondary school students, as well as their influencing factors, so as to provide a basis for the development of future intervention programs for adolescent mental health. Methods: From December 2022 to February 2023, a self administered questionnaire survey was administered among grades 4 to 6 students and junior school, senior school students in Yixing City using Depression Anxiety and Stress Scale-21 (DASS-21), Insomnia Severity Index (ISI), Family Environment Scale (FES), and modified Yale Food Addiction Scale 2.0 (mYFAS 2.0), Ottawa Self injury Inventory (OSI). A total of 4 180 students were included in the analysis. Different types of depression and anxiety in students and their influencing factors were analyzed by the Chi squaretest and multivariate Logistic regression. Results: The overall prevalence of depression and anxiety among primary and secondary school students were 16.6% and 22.4%, respectively, with 14.0% of depression and anxiety comorbidities. The Logistic regression results showed that, compared to students with low depression-low anxiety, students of depression and anxiety who had parents in conflicts ( OR =3.06), smoked ( OR =3.16), exhibited moderate food addiction ( OR =3.56), and had non suicidal self injury (NSSI) ( OR =2.26) were more likely to be classified as a depression predominant-depression anxiety type. Students of depression and anxiety who consumed alcohol ( OR =2.00), had serious food addiction ( OR =5.44), moderate to severe insomnia ( OR =3.25), and mild insomnia ( OR =1.88) were more likely to be classified as anxiety predominant-depression anxiety type. Students of depression and anxiety with low mood ( OR =10.87), mild food addiction ( OR =2.00), moderate food addiction ( OR =4.32), and severe food addiction ( OR =7.35), mild ( OR =2.96) or moderate to severe ( OR =16.52) insomnia, and NSSI ( OR =4.24) were more likely to be classified as the severe depression anxiety type( P < 0.05 ). Conclusions There are significant differences between different depression-anxiety types among primary and secondary school students with respect to food addiction, insomnia, NSSI, smoking, and alcohol use. Relevant departments should engage with schools and families to adopt targeted interventions for students to reduce the occurrence of mental health problems.

Levothyroxine is a class of thyroid hormone medication mainly used in the clinical treatment of thyroid hormone replacement therapy and thyrotropin suppression therapy. In recent years, studies have found a close correlation between the human gut microbiota and the occurrence and development of thyroid diseases, as well as changes in thyroid hormone levels. Therefore, understanding the impact of levothyroxine on the gut microbiota, as well as the effects of the gut microbiota on the metabolism and absorption of levothyroxine, is of great significance for the treatment of thyroid diseases and the rational use of clinical medication. This article explores the interaction between the gut microbiota and levothyroxine and summarizes the current clinical findings of the gut microbiota in levothyroxine therapy.