Objective: To explore the association between negative life events and smartphone addiction among middle school students, so as to provide theoretical support and practical guidance for prevention and intervention of smartphone addiction among middle school students. Methods: Using cluster sampling, 8 890 students were selected to survey from 27 junior high schools and 3 senior high schools in a district of Shenzhen in 2022 (baseline) and 2023 (followup). Data were collected through selfresigned questionnaires on basic information, the Smartphone Addiction Scale-Short Version, and the Adolescent Selfrating Life Events Checklist. Mixedeffects models were employed to analyze the association. Results: Compared to 2022, the punishment scores of middle school students in 2023 [1.00 (0.00, 6.00) and 1.00 (0.00, 6.00)] decreased (Z=4.27), while the scores of interpersonal stress, learning stress and adaptation [4.00(0.00, 8.00), 4.00(0.00, 8.00); 4.00(1.00, 8.00), 5.00(2.00, 9.00); 2.00 (0.00, 6.00), 3.00 (0.00, 7.00)] increased (Z=-3.04, -8.36, -6.80) (P<0.01). Mixedeffects models revealed a positive doseresponse relationship between negative life events and smartphone addiction (OR=1.08-1.17, P<0.01). Stepwise regression showed independent positive effects of interpersonal stress (OR=1.05), academic stress (OR=1.03), and adaptation stress (OR=1.11) on smartphone addiction (P<0.01). Subgroup analysis of nonaddicted students in 2022 confirmed persistent associations for academic stress (OR=1.03) and adaptation (OR=1.07) (P<0.01). Conclusion Negative life events exhibit a positive doseresponse relationship with smartphone addiction, particularly interpersonal stress, academic stress, and adaptationrelated events.

Objective: To explore the longitudinal association between only-child status and smartphone addiction among middle school students, so as to provide a basis for establishing family intervention measures for smartphone addiction in middle school students. Methods: In October 2022 and October 2023, a preliminary survey and follow-up were conducted among 8 759 middle and high school students from 30 schools in a district of Shenzhen. A self-designed questionnaire was used to determine whether the students were the only-child, and the Chinese Version of the Smartphone Addiction Scale-Short Version (C-SAS-SV) was utilized to assess the students smartphone addiction status. A multilevel mixed-effects model and subgroup analysis were applied to examine the association between only-child status and smartphone addiction among middle school students. Results: During 2022 to 2023, the prevalence of smartphone addiction in the cohort of middle school students increased from 24.1% to 25.2%. Compared with only-child, non-only child were more likely to be addicted to smartphones (adjusted model: OR =1.2, 95% CI =1.1-1.4) and also scored higher on smartphone addiction (adjusted model: β =0.9, 95% CI =0.2-1.5)( P <0.05). Subgroup analysis further revealed that compared to baseline, non-only child demonstrated an increased prevalence of smartphone addiction (adjusted model: OR = 1.2 , 95% CI =1.0-1.5) and higher addiction scores (adjusted model: β =0.8, 95% CI =0.2-1.5) after one year( P <0.05). Conclusions Non-only child face higher risk of smartphone addiction. Under the current population policy, it is crucial to address smartphone addiction among middle school students who is not only child.

Objective: To explore the potential causal association between adolescent compulsive behaviour and smartphone addiction based on longitudinal data, so as to provide reference for the establishment of adolescent smartphone addiction interventions. Methods: A preliminary survey and follow-up were conducted on 8 907 middle and high school students in a district of Shenzhen in 2022 and 2023, respectively. Compulsive behaviours were measured by using the Mental Health Inventory for Middle School Students-60 Items (MMHI-60), smartphone addiction was assessed by using the Smartphone Addiction Scale-Short Version ( SAS- SV), and the associations between compulsive behaviours and smartphone addiction were analysed by using multilevel mixed-effects models and subgroup analyses. Results: Smartphone addiction detection rates among middle school students were significantly associated with genders, father s education level, mother s education level, study load subgroups, and whether or not they were single-parent families, and there were statistical differences ( χ 2=17.21-175.34, P <0.05). Students with compulsive behaviours were 2.98 times more likely to develop smartphone addiction than those without compulsive behaviours ( OR=2.98, 95%CI=2.77-3.22, P <0.05). Subgroup analysis of middle school students without smartphone addiction in the first year found that compulsive behaviours significantly predicted smartphone addiction ( OR= 1.76 , 95%CI=1.54-2.01, P <0.05). Conclusion There is a potential causal association between obsessive-compulsive behaviours and smartphone addiction in middle school students, and obsessive-compulsive behaviours in middle school students could significantly predicted the occurrence of smartphone addiction.

With the rapid advancement of artificial intelligence technology, chatbots have shown great potential in the healthcare sector. From personalized health advice to chronic disease management and psychological support, chatbots have demonstrated significant advantages in improving the efficiency and quality of healthcare services. As the scope of their applications expands, the relationship between technological complexity and practical application scenarios has become increasingly intertwined, necessitating a more comprehensive evaluation of both aspects. This paper, from the perspective of he althcare applications, systematically reviews the technological pathways and development of chatbots in the medical field, providing an in-depth analysis of their performance across various medical scenarios. It thoroughly examines the advantages and limitations of chatbots, aiming to offer theoretical support for future research and propose feasible recommendations for the broader adoption of chatbot technologies in healthcare.

Objective To evaluate the safety and efficacy of interventional embolization of middle meningeal artery(MMA)for the treatment of chronic subdural hematoma(CSDH).Methods The clinical data of 14 patients with CSDH(17 lesions in total),who were treated with simple embolization of MMA at the Yijishan Hospital of Wannan Medical College of China between July 2021 and July 2022,were retrospective analyzed.After superselective catheterization of MMA using a microcatheter was accomplished,Onyx-18 glue,a liquid embolization agent,was used to embolize the main trunk and the branches of MMA.Imaging follow-up was adopted at 30 days and 90 days after discharge from hospital to evaluate the absorption of hematoma,and the improvement of clinical symptoms was defined as the modified Rankin Scale score(mRS)being decreased≥1 point from the baseline value.Results Successful embolization of MMA was accomplished for all the 17 lesions in the 14 patients,and no procedure-related complications occurred.During the follow-up period,the clinical symptoms and signs were remarkably improved in all patients.The postoperative 90-day hematoma volume was reduced by more than 90%in 11 patients and by more than 40%in one patient,and in 2 patients the postoperative 30-day hematoma volume was reduced by more than 30%.Complete absorption of hematoma was seen in 11 patients,and partial absorption of hematoma was observed in 3 patients.Conclusion For the treatment of newly-developed or recurrent CSDH,interventional embolization of MMA is clinically safe and effective.(J Intervent Radiol,2024,32:12-16)

Objective:To observe the effects of kidney-tonifying and mind-calming acupuncture therapy on sleep,mood,sex hormone levels,and traditional Chinese medicine(TCM)symptoms in patients with perimenopausal insomnia(PMI). Methods:A total of 90 patients with PMI were randomly divided into a treatment group and a control group,with 45 cases in each group.Patients in the treatment group were treated with acupuncture at Shenshu(BL23),Taixi(KI3),Baihui(GV20),and Anmian(Extra).The control group was treated with sham acupuncture.Both groups were treated 3 times a week for 4 weeks.Pittsburgh sleep quality index(PSQI)and insomnia severity index(ISI)were used to evaluate the sleep quality of the subjects before treatment,after treatment,and 1 month after treatment(follow-up).Beck depression inventory(BDI)and Beck anxiety inventory(BAI)were used to evaluate the depression and anxiety of the subjects before treatment,after treatment,and at 1-month follow-up.The TCM symptom scale was used to evaluate the TCM symptoms of the subjects before treatment,after treatment,and 1 month after treatment.Serum levels of estradiol(E2),follicle-stimulating hormone(FSH),and luteinizing hormone(LH)were measured before and after treatment. Results:During the study,2 cases dropped out of the treatment group,and no cases dropped out of the control group.The PSQI scores of the treatment group were significantly lower after treatment and at 1-month follow-up compared with those before treatment(P<0.05),and the difference was statistically significant compared with that of the control group(P<0.05).In the control group,the PSQI score was significantly lower after treatment compared with before treatment(P<0.05),and the difference was not statistically significant at 1-month follow-up compared with before treatment(P>0.05).Compared with the pre-treatment,the ISI,BDI,BAI,and TCM symptom scale scores of the treatment group were lower after treatment and at 1-month follow-up(P<0.05),and the differences with the control group at the same time point were statistically significant(P<0.05).The differences in ISI,BDI,BAI,and TCM symptom scale scores of the control group before treatment,after treatment,and at 1-month follow-up were not statistically significant(P>0.05).After treatment,the serum E2 level in the treatment group was significantly higher than that before treatment(P<0.05),and the difference with the control group was statistically significant(P<0.05).The difference in the serum E2 level before and after treatment in the control group was not statistically significant(P>0.05).The differences in the serum FSH and LH levels between before and after treatment were not statistically significant in either group of subjects(P>0.05). Conclusion:Kidney-tonifying and mind-calming acupuncture therapy can improve sleep quality,relieve anxiety and depression,delay the decrease of serum E2 level,and improve related TCM symptoms in patients with PMI.

ObjectiveTo explore the prevalence difference between northwest dryness syndrome and blood stasis syndrome of coronary heart disease （CAD） and their correlations with major adverse cardiovascular events （MACE）. MethodsThe medical records including general information and risk factors for vascular diseases （gender， age， smoking history， diabetes history， hypertension history， chronic kidney disease history and body mass index）， laboratory indicators （fasting blood glucose， triglyceride， high density lipoprotein cholesterol， etc.） of 499 CAD patients in the Department of Cardiology of the Affiliated Hospital of Traditional Chinese Medicine of Xinjiang Medical University from November 1st， 2015 to September 30th，2020 were collected， and whether they suffered from northwest dryness syndrome or blood stasis syndrome was judged. The incidence of MACE was followed up for one year. The differences of cardiovascular risk factors between the northwest dryness syndrome and blood stasis syndrome of CAD were compared， and the correlation with MACE was analyzed. ResultsAmong the 499 CAD patients， there were 128 cases （25.65%） of simple blood stasis syndrome， 33 cases （6.61%） of simple northwest dryness syndrome， 209 cases （41.88%） of northwest dryness syndrome plus blood stasis syndrome， and 129 （25.85%） cases of not blood statis syndrom either northwest dryness syndrome. Univariate regression analysis showed that smoking history， diabetes history， fasting blood glucose abnormality， triglyceride abnormality， and high density lipoprotein cholesterol abnormality were positively correlated with northwest dryness syndrome in CAD patients （OR＞1， P＜0.05）， while smoking history， abnormal triglyceride and abnormal high density lipoprotein cholesterol were positively correlated with blood stasis syndrome in CAD patients （OR＞1， P＜0.05）. Multivariate regression analysis showed that the history of diabetes， abnormal triglyceride and abnormal high density lipoprotein cholesterol were positively correlated with northwest dryness syndrome of CAD （P＜0.05）. Smoking history， abnormal triglycerides and abnormal high density lipoprotein cholesterol were positively correlated with blood stasis syndrome （P＜0.05）. Association rule analysis showed that the confidence of CAD patients with northwest dryness syndrome complicated with blood stasis syndrome was 86.36%， and that of patients with blood stasis syndrome complicated with northwest dryness syndrome was 62.02%. Among the 499 patients， 96 had MACE in one year， accounting for 19.24% of the total. Logistics regression analysis showed that the correlation with incidence of MACE in CAD patients within one year from strong to weak was northwest dryness syndrome plus blood stasis syndrome ［OR = 5.113， 95%CI （3.118， 8.387）， P＜0.001）］， blood stasis syndrome［OR = 4.630， 95%CI （2.394， 8.955）， P＜0.001］， northwest dryness syndrome ［OR = 4.395， 95%CI （2.642， 7.309）， P＜0.001］. ConclusionBlood stasis syndrome is the main syndrome type of CAD in Xinjiang Uygur Autonomous Region. CAD patients with northwest dryness syndrome are more likely to have blood stasis syndrome， and most suffer from both northwest dryness syndrome and blood stasis syndrome simultaneously. There is the strongest correlation between northwest dryness syndrome plus blood stasis syndrome and 1-year occurrence of MACE in CAD.

Objective To analyze the predictive value of serum levels of procalcitonin(PCT)and cytokines on the prognosis of patients with COVID-19 at admission.Methods From November 2022 to February 2023,patients diagnosed with COVID-19 who were admitted to Beijing Chest Hospital were enrolled.Chemiluminescence was used to detect serum PCT levels,and flow microsphere array was used to detect serum cytokines IL-1β,IL-2,IL-4,IL-5,IL-6,IL-8,IL-10,IL-12p70,IL-17A,IL-17F,IL-22,TNF-α,TNF-β,IFN-γ level.ICU admission,mechanical ventilation and in-hospital death were defined as poor prognosis.After excluding patients with bacterial infection,the relationship between serum PCT and cytokine levels at admission and the prognosis of COVID-19 patients was analyzed.After excluding patients with bacterial infection,the relationship between serum PCT and cytokine levels at admission and the prognosis of COVID-19 patients was analyzed.Results A total of 176 patients with complete data were included,including 134 in the PCT-normal group and 42 in the PCT-elevated group,with a median age of 71.50 years and 71.59%males.Patients in the PCT elevated-group had significantly higher rates of ICU admission(38.41%vs.13.11%,P<0.05),mechanical ventilation(76.92%vs.24.59%,P<0.001)and in-hospital mortality(38.46%vs.6.56%,P<0.001)were significantly higher than those in the PCT-normal group.Serum levels of cytokines IL-6(7.40 pg/mL vs.4.78 pg/mL,P = 0.033 4)and IL-8(10.97 pg/mL vs.5.92 pg/mL,P<0.001)were significantly higher in patients with poor prognosis than in those with good prognosis.The area under the curve for PCT,IL-6,and IL-8 to predict poor prognosis in COVID-19 patients was 0.687,0.660,and 0.746,respectively;sensitivity was 52.78%,55.17%,and 72.41%,respectively;and specificity was 81.58%,74.19%,and 74.19%,respectively,as calculated from the ROC curve.When PCT,IL-6 and IL-8 jointly predict the prognosis of COVID-19 patients,the area under the curve is 0.764,the sensitivity is 70.00%,and the specificity is 80.00%.Conclusion Serum PCT and cytokines IL-6 and IL-8 could be used as predictive markers for poor prognosis in patients with COVID-19.

OBJECTIVE To systematically evaluate the clinical efficacy of dapagliflozin in the treatment of heart failure with diabetes mellitus type 2. METHODS The clinical trials of dapagliflozin in the treatment of heart failure with diabetes mellitus type 2 were searched in Embase, PubMed, Web of Science, Cochrane Library, VIP, CNKI and Wanfang databases from the establishment of the database to March 18, 2022. The RevMan 5.3 software was used for meta-analysis, and the TSA 0.9 software was used for sequential analysis. RESULTS The 31 RCT studies meeting the criteria were finally included, involving 2 906 patients. Meta-analysis showed that compared with the control group, the experimental group significantly improved LVEF[MD=4.43, 95% CI(3.35, 5.50), P<0.000 01], total effective rate[MD=4.19, 95%CI(2.52, 6.99), P<0.000 01], and reduced NT-proBNP[MD=–451.84, 95%CI(–608.09, –295.60), P<0.000 01], LVEDD[MD=–2.74, 95%CI(–3.67, –1.82), P<0.000 01, Hb1ac[MD=–0.88, 95%CI(–1.19, –0.57), P<0.000 01], FPG[MD=–1.10, 95%CI(–1.45, –0.75), P<0.000 01], 2hPG[MD=–2.52, 95%CI(–3.37, –1.66), P<0.000 01] and the incidence of adverse reactions[MD=0.63, 95%CI(0.47, 0.83), P=0.001]. Sequential analysis showed that the effect of dapagliflozin on LVEF in patients with heart failure with type 2 diabetes was accurate, and the possibility of excluding false positive was possible. CONCLUSION The treatment of heart failure with diabetes mellitus type 2 with good efficacy and safety is achieved by dapagliflozin, but it still needs to be included in more high-quality RCT studies for further demonstration.

Objectives:To examine the feasibility of using foundation model in computer vision for echocardiographic left ventricular ejection fraction measurement. Methods:Based on the most extensive publicly accessible repository of echocardiographic loops,EchoNet-Dynamic,featuring 10024 recordings from individual patients,a foundation model in computer vision,VideoMAE V2,was fine-tuned,validated,tested using 7460,1288,and 1276 echocardiographic loops,respectively. Results:The mean absolute error between left ventricular ejection fraction measurements of VideoMAE V2 and expert's measurements was 3.94％ (95％CI:3.79％-4.11％).The Pearson's correlation coefficient was 0.91 (95％CI:0.89-0.92).Additionally,VideoMAE V2 demonstrated exceptional accuracy in identifying patients with a left ventricular ejection fraction below 50％,achieving an AUC of 0.96 (95％CI:0.95-0.97). Conclusions:This study validates the feasibility of using foundation model in computer vision for measuring left ventricular ejection fraction in echocardiographic loops and lays the foundation for the development of a generalized multimodal automated interpretation system for echocardiography.