OBJECTIVE:To compare the cost-effectiveness of cefazolin sodium pentahydrate versus cefazolin sodium in treat-ment of bacterial infection,and to provide reference for rational drug use in the clinic.METHODS:In retrospective study,207 bac-terial infection patients receiving cefazolin sodium pentahydrate or cefazolin sodium were selected from our hospital during Nov. 2014 to Dec. 2015,including 109 cases in cefazolin sodium pentahydrate group and 98 cases in cefazolin sodium group. Both groups received relevant medicine 2 g,bid,ivgtt,within 7 d. The clinical efficacies,bacteriological efficacies and safety of 2 groups were compared,and pharmacoeconomics of 2 therapy plans were evaluated.RESULTS:The clinical response rates of cefazo-lin sodium pentahydrate group and cefazolin sodium group were 89.91% and 74.49%,with statistical significance(P<0.05);bac-terial clearance rates were 76.32% and 72.13%,with no statistical significance(P>0.05). No drug-related ADR occurred in 2 groups during the treatment. Total shot-term(7 d)cost of cefazolin sodium pentahydrate group and cefazolin sodium group respec-tively were 4 391.43 yuan and 3 396.19 yuan. Using clinical response rate as effect index,cost-effectiveness ratio of them were 48.84 and 45.59,and incremental cost-effectiveness ratio was 64.55,which was lower than per capita GDP of Hengshui city. The sensitivity analysis results were in agreement with the cost-effectiveness analysis. CONCLUSIONS:Under the current economic sit-uation of Hengshui city,cefazolin sodium pentahydrate has cost-effectiveness advantage in the treatment of bacterial infection than cefazolin sodium.

Objective: To explore the effectiveness of machine learning in predicting adolescent Internet gaming disorder, so as to provide guidance for formulating effective intervention measures. Methods: From June to September，2023，a total of 2 100 students from 3 middle schools and 3 high schools in Bijie City, Qianxi City and Jinsha County, Guizhou Province were selected by stratified random cluster sampling as research subjects. Data was collected by using several instruments, including the Nine item Internet Gaming Disorder Scale-Short From (IGDS9-SF), Parental Psychological Control and Autonomy Support Questionnaire(PPCASQ), Motivation Structure Questionnaire, Relative Deprivation Questionnaire, Deviant Peer Association Questionnaire, and Dual Systems of Self control Scale. Descriptive statistical analysis was conducted to characterize the sample features, and the distribution differences of categorical variables were analyzed by using Chi square test and Mann-Whitney U test. Demographic variables and various influencing factors were served as independent variables, and whether adolescents were addicted to Internet gaming was the dependent variable. Various machine learning algorithms, including random forest, Logistic regression, support vector machine, gradient boosting trees, decision trees, and adaptive boosting were employed to construct predictive models. Results: The detection rate of Internet gaming disorder among adolescents was 4.57% (96 cases). Males and middle school students had higher Internet gaming disorder detection rates (5.52%,6.29%) than females and high school students (3.32%,3.62%), and the differences were statistically significant ( χ 2=5.71,7.86, P ＜0.01).The scores of relative deprivation,deviant peer affiliation, paternal psychological control, maternal psychological control, control motivation, impulsive system and its dimensions (impulsivity, distractibility, low delay of gratification) in Internet gaming disorder group were higher than in non Internet gaming disorder, while the score of parental autonomy support was lower than that in the non Internet gaming disorder group ( Z =-2.88,-9.32,-4.13,-4.48, -6.58 ,-7.50,-7.18,-7.56,-7.43,-2.27, P <0.05). The adaptive boosting algorithm performed the best (accuracy=99%, recall=95%, F1 score=97%, AUC=0.96). Random forest and gradient boosting trees also performed excellently (accuracy=98%, recall=95%, F1 score=97%, 96%, AUC=0.96). Conclusions Compared to other models, the adaptive boosting algorithm shows a good predictive effectiveness for adolescent Internet gaming disorder. Appropriate models should be selected to identify individuals with Internet gaming disorder as early as possible, to develop effective intervention strategies and reduce the risk of Internet gaming disorder.

Objective:To establish and validate a nomogram model for early prediction of the risk of acute pancreatitis (AP) progressing to severe acute pancreatitis (SAP).Methods:CT signs and clinical laboratory parameters of 361 AP patients admitted to our Hospital from January 2016 to July 2022 were retrospectively collected. There were 221 males (61.2%) and 140 females (38.8%). According to the Atlantic score, all patients were divided into the SAP group (64 cases) and the non-SAP (NSAP) group (297 cases). Univariate analysis was used to screen out variables with statistically significant differences. Multivariate Logistic regression analysis was used to screen out the independent risk factors of SAP, and finally a nomogram prediction model was established. Receiver operating characteristic (ROC) curve, calibration curve and decision curve (DCA) were used to evaluate the predictive efficacy, accuracy and clinical practicability of the model, and Bootstrap method was used to verify the model internally.Results:Univariate analysis and multivariate Logistic regression analysis showed that pleural effusion ( OR=7.353, 95% CI: 3.344-16.170), posterior pararenal space (PPS) involvement ( OR=3.149, 95% CI: 1.314-7.527), serum creatinine concentration (Cr) ( OR=1.027, 95% CI: 1.017-1.038) and serum calcium concentration (Ca 2+) ( OR=0.038, 95% CI: 0.009-0.166) were independent risk factors for SAP ( P<0.05). A Nomogram model was established based on these four factors. The area under the ROC curve (AUC) of this model was 0.905 (95% CI: 0.869-0.933), indicating high predictive efficiency. Internal verification showed that the model had good accuracy in predicting SAP, and C-index was 0.90. DCA analysis showed that the model had high clinical practicability. Conclusions:The Nomogram model combining pleural effusion, PPS involvement, Cr and Ca 2+ had a good effect on early prediction of SAP, which could provide a new reference tool for clinical diagnosis and treatment.

Objective: To explore the relationship between dieting and binge eating with non suicidal self-injury (NSSI) among secondary vocational school students, so as to provide a scientific basis for the development of effective interventions to prevent NSSI. Methods: From October to December 2023, 2 364 students were selected by stratified cluster random sampling method from nine secondary vocational schools in Guizhou Province to conduct a self administered questionnaire survey. Unconditional binary Logisitic regression was used to analyze the relationship between dieting, binge eating behaviours, and the co-occurrence of the two and NSSI among secondary vocational school students, and were stratified by sex. Results: The detection rate of NSSI among secondary vocational school students in Guizhou Province was 27.5%, 6.8% of secondary vocational school students reported dieting, 10.5% reported binge eating behaviour, and 2.9% showed both dieting and binge eating behaviours. The adjusted model of unconditional binary Logistic regression showed that the presence of dieting ( OR =2.37), binge eating behaviour ( OR =2.31), and the co-occurrence of both ( OR =2.60) were associated with higher risk of NSSI among secondary vocational school students; stratified analysis by gender showed that both males and females with dieting, binge eating and coexistence of dieting and binge eating behaviours were at increased risk of NSSI (females: OR =2.27, 2.26, 2.78 ; males: OR =2.15, 2.08, 2.02) ( P <0.01). Conclusions Dieting and binge eating behavior of secondary vocational school students will increase the risk of NSSI. When preventing and intervening NSSI problems of secondary vocational school students, it should pay more attention to eating habits.

Vascular cognitive impairment is a group of disorders characterized by cognitive dysfunction caused by vascular factors. Disruption of the blood-brain barrier is an early pathophysiological mechanism of vascular cognitive impairment. Dynamic contrast-enhanced magnetic resonance imaging and arterial spin labeling-based blood-brain barrier imaging techniques can quantitatively assess the integrity of the blood-brain barrier. In recent years, these techniques have gradually been applied to detect the extent of blood-brain barrier dysfunction. This article provides a comprehensive review of the basic principles of relevant magnetic resonance techniques and the progress made in their application to the assessment of the blood-brain barrier in vascular cognitive impairment.

The in-depth study of the intervention of endometriosis （EMS） with Chinese medicines has revealed many pathways that can be regulated by Chinese medicines in the treatment of EMS. Chinese medicinal compound prescriptions， single Chinese herbal medicines， or their active ingredients treat EMS via the signaling pathways discussed in this paper. They can directly or indirectly regulate the expression of key molecules in the corresponding signaling pathways to inhibit the proliferation of endometriotic cells and the inflammatory changes of endometrial tissue， promote the apoptosis of endometriotic cells， change the pain threshold， and reduce endometriotic cell invasion， so as to achieve the therapeutic effects of inhibiting EMS progression， improving endometrial receptivity， and reducing ovarian injury. The following details are based on relevant studies conducted both at home and abroad. Curcumol can inhibit angiogenesis and promote cell apoptosis by blocking the Janus kinase 2/signal transducer and activator of transcription 3 signaling pathway. Icariin can reduce inflammation and promote cell apoptosis by blocking the nuclear factor-kappa B signaling pathway. Puerarin can suppress cell proliferation and promote cell apoptosis by inhibiting the mitogen-activated protein kinase （MAPK） signaling pathway and blocking the estrogen signaling pathway. Naringenin has the ability to activate the MAPK signaling pathway to promote cell apoptosis. Imperatorin can inhibit cell proliferation and promote cell apoptosis by inhibiting the phosphatidylinositol 3-kinase/protein kinase B signaling pathway. Resveratrol can inhibit cell proliferation and alleviate fibrosis and adhesion by blocking the transforming growth factor-beta signaling pathway. Paeonol can inhibit angiogenesis by blocking the hypoxia-inducible factor 1 signaling pathway. The above summary can serve as a reference for the future clinical treatment or experimental research of EMS with Chinese medicines.

Objective: This study’s objective is to assess the efficacy and safety of Pulsed Magnetic Therapy System (PMTS) in improving insomnia disorder. Methods: Participants with insomnia disorder were randomly assigned to receive either PMTS or sham treatment for four weeks (n= 153; PMTS: 76, sham: 77). Primary outcomes are the Insomnia Severity Index (ISI) scores at week 0 (baseline), 1, 2, 3, 4 (treatment), and 5 (follow-up). Secondary outcomes are the Pittsburgh Sleep Quality Index at baseline and week 4, and weekly sleep diary-derived values for sleep latency, sleep efficiency, real sleep time, waking after sleep onset, and sleep duration. Results: The ISI scores of the PMTS group and the sham group were 7.13±0.50, 11.07±0.51 at week 4, respectively. There was a significant group×time interaction for ISI (F3.214, 485.271=24.25, p<0.001, ηp 2=0.138). Only the PMTS group experienced continuous improvement throughout the study; in contrast, the sham group only experienced a modest improvement after the first week of therapy. At the end of the treatment and one week after it, the response of the PMTS group were 69.7% (95% confidence interval [CI]: 58.6%–79.0%), 75.0% (95% CI: 64.1%–83.4%), respectively, which were higher than the response of the sham group (p<0.001). For each of the secondary outcomes, similar group×time interactions were discovered. The effects of the treatment persisted for at least a week. Conclusion PMTS is safe and effective in improving insomnia disorders.

To investigate the chemical constituents of ethyl acetate from Cirsium setosum, fifteen flavonoids were obtained by column chromatography on silica gel, MCI, Sephadex LH-20, and preparative HPLC. Their structures were identified as 4',5,6-trihydroxy-7-methoxyflavone(1), 4',5-dihydroxy-7,8-dimethoxyflavone(2), sorbifolin-6-O-β-glucopyranoside(3), kaempferol-7-O-α-L-rhamnoside(4), kaempferol(5), quercetin-3-O-β-D-glucosyl-7-O-α-L-rhamnoside(6), myricetin(7), myricetin-3-O-β-D-glucoside(8), 5,7- dihydroxy -3',4'- dimethoxyflavone(9), 3',4',5- trihydroxy-3,7-dimethoxyflavone(10), 3',3,4',5-tetrahydroxy-7-methoxyflavone(11), 3'-hydroxy-4',5,7-trimethoxyflavone(12), 7-hydroxy-3',4',5-trimethoxyflavone(13), 4',5-dihydroxy-2',3',7,8-tetramethoxylflavone(14), and 5-hydroxy-2',3',7,8-tetramethoxylflavone(15) by spectroscopic data analysis. All compounds were isolated from this plant for the first time.Compounds(1-15) were evaluated for their hypoglycemic activities by PTP1B enzyme model. Among them, compounds 2, 12, and 14 showed significant PTP1B inhibitory activities with IC₅₀ values of 2.54, 1.85, 2.11 μmol•L⁻¹, respectively.

Objective: To analyze the molecular epidemiology of norovirus (NoV) genotype GⅡ.15 in Qingdao City. Methods: One thousand four hundred and twelve stool samples were collected from suspected NoV infected patients and detected by real-time polymerase chain reaction (PCR). Open reading frame (ORF)1-ORF2 and VP1 gene were amplified by reverse transcription (RT)-PCR and sequenced for genotyping, evolutionary analysis and homology modeling. Results: Seven cases of GⅡ.15 type were detected including four sporadic cases and one outbreak.The VP1 gene was highly homologous and had little variation compared with early strain J23/US/1999. The differences of amino acids between strains in Qingdao City were mainly asparagine/asparticacid(N/D)300 and proline/serine(P/S)302.Homology modeling suggested that VP1 of GⅡ.15 strain was composed of S domain and P domain (P1 subdomain included 224-276 and 431-555, P2 subdomain included 277-430). S domain contained eight anti-parallel β-sandwiches and two α-helixes, and P1 subdomain contained one α-helix and seven β-strands, and the P2 subdomain folded into a compact barrel-like structure consisting of six β-strands.Argnine (R)-glycine (G)-valine (V)-motif (289-291) and three specific loci including glutarnine (Q)313, asparagine (N)349 and Q389 were located in the P2 subdomain, with NGR-motif (265-267) located at 22nd upstream of RGV-motif.Site I (SNR-alanine(A)- histidine(H)357-361), Site Ⅱ (D388) and Site Ⅲ (G454, G455) were the main characteristic sites of histo-blood group antigens (HBGA) binding interface, which may be similar to the binding pattern of GⅡ.4 type VA387 and HBGA. Conclusion Although GⅡ.15 type NoV evolves very slowly, it may still have the risk to become an epidemic strain, which needs to be monitored and further studied.