Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance， while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine （TCM） has a long history in the prevention and management of this condition， demonstrating eight distinct advantages， including systematic theoretical foundation， diversified therapeutic approaches， definite therapeutic efficacy， high safety profile， good patient compliance， comprehensive intervention strategies， emphasis on prevention， and stepwise treatment protocols. Additionally， TCM is characterized by six distinctive features： the use of natural medicinal substances， non-invasive external therapies， integration of medicinal dietetics， simple exercise regimens， precise syndrome differentiation， and diverse dosage forms. By combining internal and external treatments， TCM facilitates individualized regimen adjustment and holistic regulation， demonstrating remarkable effects in improving obesity-related metabolic indicators， regulating constitutional imbalance， and promoting healthy behaviors. However， challenges remain， such as inconsistent operational standards， insufficient high-quality clinical evidence， and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment， conducting multicenter randomized controlled trials， and fostering interdisciplinary integration， so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective:To evaluate the efficacy of shockwave therapy,acupuncture,hyperthermia,biofeedback therapy,elec-trical nerve stimulation,magnetotherapy and ultrasound therapy in the treatment of chronic prostatitis/chronic pelvic pain syndrome(CP/CPPS),and to provide evidence-based support for clinical decision-making.Methods:Two researchers independently searched PubMed,Web of Science,Embase,Cochrane Library,CNKI,Wanfang,VIP and Chinese Biomedical Literature databases for randomized controlled trials(RCTs)on the effects of different interventions on CP/CPPS from the establishment of the databases to August 2024.We evaluated the quality of the included literature and extracted the relevant data according to the Cochrane Handbook for Systematic Reviews of Interventions,followed by network meta-analysis using Revman 5.3,R 4.33 and Stata17 software.Results:A total of 25 RCTs involving 1 794 cases were included.The results of network meta-analysis showed that electrical nerve stimulation,shockwave therapy,biofeedback therapy,magnetotherapy,ultrasound therapy and acupuncture were significantly superior to conventional medication and placebo in the total NIH-CPSI scores(P＜0.05),and so were electrical nerve stimulation and shock-wave therapy to acupuncture and hyperthermia(P＜0.05),magnetic therapy to hyperthermia,and ultrasound therapy to placebo(P＜0.05).Shockwave therapy,biofeedback therapy,electrical nerve stimulation,magnetotherapy and ultrasound therapy achieved re-markably better clinical efficacy than conventional medication and placebo in the treatment of CP/CPPS,and so did shockwave therapy than electrical nerve stimulation,hyperthermia,ultrasonic therapy,magnetotherapy and acupuncture.Conclusion:For the treat-ment of CP/CPPS,electrical nerve stimulation is advantageous over the other interventions in improving total NIH-CPSI scores,and shockwave therapy is advantageous in relieving pain symptoms and clinical efficacy.This conclusion,however,needs to be further veri-fied by more high-quality clinical studies.

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.

Objective:To explore the application of targeted mRNA sequencing in fusion gene diagnosis of hematologic diseases.Methods:Bone marrow or peripheral blood samples of 105 patients with abnormally elevated eosinophil proportions and 291 acute leukemia patients from January 2015 to June 2023 in the First Affiliated Hospital of Soochow University were analyzed and gene structural variants were detected by targeted mRNA sequencing.Results:Among 105 patients with abnormally elevated eosinophil proportions,6 cases were detected with gene structural variants,among which fusion gene testing results in 5 cases could serve as diagnostic indicators for myeloid neoplasms with eosinophilia.In addition,a IL3::ETV6 fusion gene was detected in one patient with chronic eosinophilic leukemia,not otherwise specified.Among 119 patients with acute myeloid leukemia(AML),38 cases were detected structural variants by targeted mRNA sequencing,accounting for 31.9％,which was significantly higher than 20.2％(24/119)detected by multiple quantitative PCR(P＜0.05).We also found one patient with AML had both NUP98::PRRX2 and KCTD5::JAK2 fusion genes.A total of 104 patients were detected structural variants by targeted mRNA sequencing in 172 cases with acute B-lymphoblastic leukemia who were tested negative by multiple quantitative PCR,with a detection rate of 60.5％(102/172).Conclusion:Targeted mRNA sequencing can effectively detect fusion gene and has potential clinical application value in diagnosis and classificatation in hematologic diseases.

Objective To explore the differences in coronary-based and lesion-based fat attenuation index(FAI)in patients with coronary artery disease(CAD)across different risk stratifications,and to compare the diagnostic efficiency of coronary-based and lesion-based FAI in stable CAD patients with myocardial ischemia.Methods The patients with CAD,who underwent preoperative coronary CT angiography(CCTA)and invasive coronary angiography(ICA)with coronary fractional flow reserve(FFR)measurement between Apr 2019 and Oct 2022 in Zhongshan Hospital,Fudan University,were retrospectively collected.There were 57 cases of acute coronary syndrome(ACS)patients and 206 cases of stable CAD patients included following inclusion criteria.The coronary-based and lesion-based FAI were measured,and the differences in these indices were recorded and analyzed among ACS patients,ischemic and non-ischemic groups of stable CAD patients(FFR=0.8 as the threshold).ROC curves were utilized to assess the diagnostic efficiency of coronary-based and lesion-based FAI for myocardial ischemia in stable CAD patients.Results The coronary-based FAI and lesion-based FAI in ACS patients were significantly higher than those in stable CAD patients[coronary-based FAI:(-72.40±6.83)HU vs.(-76.82±9.01)HU,P<0.001;lesion-based FAI:(-65.65±4.79)HU vs.(-77.48±8.64)HU,P<0.001].Among stable CAD patients,the lesion-based FAI in the ischemic group was significantly higher than that in the non-ischemic group[(-69.28±5.65)HU vs.(-80.10±7.75)HU,P<0.001].The diagnostic efficiency of lesion-based FAI for predicting myocardial ischemia in stable CAD patients was superior to coronary-based FAI(AUC:0.892 vs.0.525,Z=9.803,P<0.001).Conclusion Coronary-based and lesion-based FAI tended to be higher in ACS patients than in stable CAD patients,suggesting a potential for stratifying CAD patients with different risks.Lesion-based FAI showed some promise in evaluating myocardial ischemia among stable CAD patients.

Objective To explore the diagnostic value of exhaled volatile organic compounds (VOCs) for cystic fibrosis (CF). Methods A systematic search was conducted in PubMed, EMbase, Web of Science, Cochrane Library, CNKI, Wanfang, VIP, and SinoMed databases up to August 7, 2024. Studies that met the inclusion criteria were selected for data extraction and quality assessment. The quality of included studies was assessed by the Newcastle-Ottawa Scale (NOS), and the risk of bias and applicability of included prediction model studies were assessed by the prediction model risk of bias assessment tool (PROBAST). Results A total of 10 studies were included, among which 5 studies only identified specific exhaled VOCs in CF patients, and another 5 developed 7 CF risk prediction models based on the identification of VOCs in CF. The included studies reported a total of 75 exhaled VOCs, most of which belonged to the categories of acylcarnitines, aldehydes, acids, and esters. Most models (n=6, 85.7%) only included exhaled VOCs as predictive factors, and only one model included factors other than VOCs, including forced expiratory flow at 75% of forced vital capacity (FEF75) and modified Medical Research Council scale for the assessment of dyspnea (mMRC). The accuracy of the models ranged from 77% to 100%, and the area under the receiver operating characteristic curve ranged from 0.771 to 0.988. None of the included studies provided information on the calibration of the models. The results of the Prediction Model Risk of Bias Assessment Tool (PROBAST) showed that the overall bias risk of all predictive model studies was high, and the overall applicability was unclear. Conclusion The exhaled VOCs reported in the included studies showed significant heterogeneity, and more research is needed to explore specific compounds for CF. In addition, risk prediction models based on exhaled VOCs have certain value in the diagnosis of CF, but the overall bias risk is relatively high and needs further optimization from aspects such as model construction and validation.

Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.