Objective: To explore the influencing factors of anxiety symptoms and to construct a predictive model based on machine learning algorithms, so as to provide support for the prevention and management of anxiety symptoms among junior high school students. Methods: From April to May 2023, a stratified random cluster sampling method was adopted to select 8 176 junior high school students from Zhengzhou and Shangqiu citys. All participants completed the Adolescent Self rating Life Events Checklist, the 10item Connor-Davidson Resilience Scale, the School Connectedness Scale, the Parent-Child Cohesion Questionnaire, and the 7 item Generalized Anxiety Disorder Scale. Logistic regression analysis identified the associated factors of anxiety symptoms among junior high school students. Predictive models were constructed using Logistic regression, Random Forest, and eXtreme Gradient Boosting (XGBoost) algorithms, with SHapley Additive exPlanations analysis explaining the optimal model. Results: The detection rate of anxiety symptoms among junior high school students was 16.3%. Logistic regression analysis showed that junior high school students who were female ( OR =1.22), in the ninth grade ( OR =1.27), living in urban areas ( OR =1.37), having a father with a college education or above ( OR =1.26), having a mother with a senior high school education ( OR =1.26), and experiencing higher levels of negative life events ( OR =1.05) reported a higher risk of anxiety symptoms(all P <0.05). In contrast, those with moderate family economic status ( OR =0.71), moderate academic burden ( OR =0.59), low academic burden ( OR =0.54), moderate sleep quality ( OR =0.46), good sleep quality ( OR =0.26), excellent sleep quality ( OR =0.15), higher levels of psychological resilience ( OR =0.96), higher levels of school connectedness ( OR =0.96), and higher levels of parent-child cohesion ( OR =0.98) reported a lower risk of anxiety symptoms (all P <0.05). Three machine learning models demonstrated good predictive performance for anxiety symptoms among junior high school students (all AUC>0.8), with the XGBoost model achieving the best predictive performance. SHAP analysis revealed that negative life events, sleep quality, school connectedness, psychological resilience and parent-child cohesion were the top five relevant factors for predicting anxiety symptoms. Conclusions The detection rate of anxiety symptoms among junior high school students is relatively high. The XGBoost model is the optimal predictive model for anxiety symptoms in the population. Negative life events, sleep quality, school connectedness, psychological resilience, and parent-child cohesion are significant correlates of anxiety symptoms among junior high school students.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Objective: To systematically analyze the revisions content and technological development trends of microbiological standards in the Chinese Pharmacopoeia (ChP) 2025 Edition, and explore its novel requirements in risk-based pharmaceutical product lifecycle management.
Methods: A comprehensive review was conducted on 26 microbiological-related standards to summarize the revision directions and scientific implications from perspectives including the revision overview, international harmonization of microbiological standards, risk-based quality management system, and novel tools and methods with Chinese characteristics.
Results: The ChP 2025 edition demonstrates three prominent features in microbiological-related standards: enhanced international harmonization, introduced emerging molecular biological technologies, and established a risk-based microbiological quality control system.
Conclusion: The new edition of the Pharmacopoeia has systematically constructed a microbiological standard system, which significantly improves the scientificity, standardization and applicability of the standards, providing a crucial support for advancing the microbiological quality control in pharmaceutical industries of China.

Objective:To systematically analyze the revisions content and technological development trends of microbiological standards in the Chinese Pharmacopoeia(ChP)2025 Edition,and explore its novel requirements in risk-based pharmaceutical product lifecycle management.Methods:A comprehensive review was conducted on 26 microbiological-related standards to summarize the revision directions and scientific implications from perspectives including the revision overview,international harmonization of microbiological standards,risk-based quality man-agement system,and novel tools and methods with Chinese characteristics.Results:The ChP 2025 edition demon-strates three prominent features in microbiological-related standards:enhanced international harmonization,intro-duced emerging molecular biological technologies,and established a risk-based microbiological quality control sys-tem.Conclusion:The new edition of the Pharmacopoeia has systematically constructed a microbiological standard system,which significantly improves the scientificity,standardization and applicability of the standards,providing a crucial support for advancing the microbiological quality control in pharmaceutical industries of China.

Objective To compare the anesthetic effect of different doses of esketamine combined with propofol in elderly patients underwent endoscopic retrograde cholangiopancreatography(ERCP),and explore the appropriate dose.Methods 105 elderly patients were selected for ERCP.The patients were divided into 3 groups with 35 cases in each group by random number table method.E1 group,E2 group and E3 group were given esketamine 0.15,0.35 and 0.50 mg/kg,respectively,and were given propofol 1.00 mg/kg intravenous injection 15 s later.Heart rate(HR),mean arterial pressure(MAP),and percutaneous arterial oxygen saturation(SpO2)were recorded after left lateral position(T0),at successful induction(T1),endoscope through larynx(T2),sphincter insertion or incision(T3),and at recovery(T4).Operation duration,intraoperative propofol dosage,anesthesia recovery time,visual analogue scale(VAS)score 15 min after anesthesia recovery and occurrence of adverse reactions were recorded.Results Compared with T0,HR and MAP decreased at T1,T2,T3 and T4 time point in E1 group,HR and MAP increased at T1,T2,T3 and T4 time point in E3 group,the differences were statistically significant(P<0.05);HR and MAP had no significant changes at T1,T2,T3 and T4 time point in E2 group(P>0.05);Compared with group E3,HR and MAP decreased at T1,T2,T3 and T4 time point in E1 group and E2 group,and E1 group was lower than E2 group,the differences were statistically significant(P<0.05);There were no significant difference in SpO2 at different time points between the three groups(P>0.05);Compared with E1 group,the dosage of propofol in E2 group and E3 group was decreased,and E3 group was significantly less than E2 group,with statistical significance(P<0.05).Compared with E3 group,the recovery time of E1 group and E2 group was shorter,and E2 group was shorter than E1 group,the differences were statistically significant(P<0.05).Compared with E1 group,pain VAS score 15 min after recovery in E2 group and E3 group was lower,and E3 group was lower than E2 group,the differences were statistically significant(P<0.05).There was no significant difference in operation time among 3 groups(P>0.05).The incidence of hypoxemia,respiratory depression and hypotension in E1 group were higher than that in E2 group and E3 group,the difference was statistically significant(P<0.05).The incidence of psychomimetic symptoms and visual disturbance in E3 group was higher than that in E1 group and E2 group,the difference was statistically significant(P<0.05).There were no significant differences in the incidence of dizziness and nausea vomiting among the 3 groups(P>0.05).Conclusion 0.35 mg/kg esketamine combined with propofol in the operation of ERCP in elderly patients,respiratory circulation is more stable,and adverse reactions do not increase.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Drug addiction is a serious public health problem worldwide,for which there are currently no established therapeutic medications.Since the legalization of cannabis and the approval of cannabidiol(CBD)by the US Food and Drug Administration,its therapeutic potential for the treatment of substance abuse has been widely explored.Numerous studies have shown that CBD can reduce drug reward in animal models of addiction such as self-administration,conditioned positional preference,and intracranial self-stimulation.CBD can also reduce withdrawal symptoms from substances such as amphetamines,opioids,cocaine,marijuana,alcohol,and nicotine.The mechanisms by which CBD modulates drug addiction,however,are complex and understudied.Here we review studies of CBD related to addictive drugs to clarify the regulatory mechanisms of CBD in drug addiction and provide references for related studies on substance abuse.

We reported the clinical manifestations,radiographic characteristics and prognosis of 1 case with Mycolicibacterium wolinskyi pulmonary disease,and provided a comprehensive literature review on this disease.Using"M.wolinskyi"OR"Mycobacterium wolinskyi"OR"Mycolicibacterium wolinskyi"as search term in PubMed database,CNKI and Wanfang database up to August 26 2023,40 reports were retrieved.32 cases from the literature and 1 case of our institution were used for review.A 59-year-old female presented intermittent hemoptysis since 2015.She was diagnosed with tuberculosis and clinical symptoms continued after anti-tuberculosis treatment.After multiple cultures of mycobacterium sputum and species identification in our hospital,M.wolinskyi was finally identified.She was diagnosed with M.Wolinski pulmonary disease according to clinical symptoms,computed tomography findings as well as bacteriological examinations.Combination therapy with Azithromycin,Moxifloxacin hydrochloride and Amikacin were administered based on antimicrobial susceptibility testing.Mycobacterium sputum culture became negative after 1 month treatment and kept negative,and the patient continued this combination therapy for 12 months after first culture negative.M.wolinskyi disease is exceedingly rare in medical institutions,and clinical symptoms are different depending on different location.Most cases were infected with skin,soft tissue or bone tissue infection after trauma or surgery,and a few cases were bloodstream infection.Most patients could have a good prognosis after proper treatment.M.wolinskyi disease is rare and clinically atypical,which may lead to long-term misdiagnosis.With the increase of aged or immunosuppressed population,the diagnosis and treatment of these rare non-tuberculous mycobacterial infections deserve more attention.

Objective To optimize the design of the existing water conductivity control system for pharmaceutical water equipment of full membrane process so as to solve its problems in precision and long cycle time due to water source,ambient temperature and intermittent working mode.Methods The optimized water conductivity control system was composed of an alkali metering pump,a conductivity sensor and a programmable logic controller(PLC),which used a fuzzy proportional-integral-derivative(PID)controller to regulate the water conductivity of pharmaceutical water equipment of full membrane process,and the particle swarm optimization(PSO)algorithm to optimize the parameters of the fuzzy PID controller.A simulation model was established with MATLAB software to verify the performance of the optimized control system.Results Simulation results showed the optimized control system had reductions in overshoot(by 19％)and adjustment time(by 29％)when compared with the fuzzy PID control system,and enhanced control efficiency effectively.Conclusion The optimized control system optimized by the PSO algorithm improves the quality of produced water,and can meet the demands for rapid and safe production of pharmaceutical water by pharmaceutical water equipment of full membrane process in different conditions.[Chinese Medical Equipment Journal,2025,46(6):14-19]