Irritable bowel syndrome （IBS） is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years， traditional Chinese medicine （TCM） has made progress in multiple aspects of IBS research and treatment， including syndrome distribution， development of TCM formulas， clinical efficacy evaluation， external therapies， and psychosocial regulation. However， it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria， and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment， combining TCM external therapies such as acupuncture， moxibustion and acupoint application）， and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies， artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas， so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.

Objective To analyze personal external exposure dose monitoring results of pet hospital radiation workers in Beijing from 2022 to 2024, and to provide scientific evidence for developing effective monitoring protocols, standardizing radiological practices in pet hospitals, and protecting the health of both workers and the public. Methods Personal dose equivalents, H_p(10), were measured using GR-200A thermoluminescent dosimeters. Monitoring included radiation workers at 286 pet hospitals across all 16 districts of Beijing from 2022 to 2024. Each monitoring cycle lasted no more than 90 days. Annual effective doses were calculated by summing the results of four consecutive quarterly cycles. Data were processed and analyzed using Access and TLPS 6.41 software. All evaluations complied with national laws, regulations, and technical standards. Results A total of 1,579 person-time measurements were recorded. Only 51.87% of workers completed the full four-cycle annual monitoring schedule. Over the study period, the mean annual effective dose was 0.29 mSv, and the median dose was 0.14 mSv. The collective effective dose was 238.34 man-mSv. Notably, 94.26% of workers had annual effective doses below 1.0 mSv, and only 0.12% had doses at or above 5 mSv. Dose levels showed a statistically significant downward trend (P<0.05). Both independent and chain-branded clinics had a median annual effective dose of 0.14 mSv. In independent clinics, the proportion of workers with doses below 1.0 mSv increased from 80.77% in 2022 to 98.82% in 2024. In chain-branded clinics, this proportion rose from 96.88% to 98.11% over the same period. Conclusion Radiation exposure among pet hospital workers in Beijing remains at low levels, well below regulatory limits, and shows an overall declining trend. The disparity in personal doses between independent and chain-branded pet hospitals has diminished over time. Nevertheless, the industry still faces challenges such as high staff turnover and low monitoring completion rates. Expanding monitoring coverage and harmonizing protection standards would provide a scientific basis for precise, nationwide regulation.

Objective:To provide theoretical basis for exploring risk factors for injuries and formulating preventive measures by studying the epidemiological characteristics of injuries in specific populations based on the pre-hospital emergency data.Methods:A retrospective analysis was conducted on injury cases of children and adolescents treated by the Zhengzhou Emergency Medical Rescue Center（120）over the past five years.Analyzed factors related to injuries such as age，gender，injury type，location of call，and time of call.Results:Over the past five years，there were a total of 22 160 pre-hospital emergency injury patients in Zhengzhou，including 22 059 cases whose information were complete.The median age was 13（2，17）years-old，with the highest proportion being 13-18 years-old，accounting for 11 515 cases（52.5%）.The top three types of injuries were trauma 10 094（45.8%），followed by traffic accidents 9 465（42.9%），and poisoning 2 080（9.4%）.Trauma mainly occurred from 17:00 to 22:00，traffic injuries mainly occurred from 17:01 to 20:00，12:01 to 15:00，and 07:01 to 08:00，while poisoning mainly occurred from 20:01 to 03:00 the next day.Trauma was most common in May，September，and November，and least common in January to March；traffic injuries were most common from June to August，and least common from December to February；there was no significant difference in the distribution of poisoning by month.The main call locations for injuries were residential areas，roads，recreational places，and schools.Conclusion:Pre-hospital emergency data of injury patients can supplement research data on injuries.The injury among children and adolescents requires attention from society and families.

Objective To investigate the value of machine learning models based on contrast-enhanced CT radiomics in differentia-ting renal oncocytoma(RO)from chromophobe renal cell carcinoma(chRCC).Methods A total of 65 patients with RO and chRCC confirmed by pathology with complete clinical and imaging data were analyzed retrospectively.The patients were randomly divided into training set(n=45)and test set(n=20)according to a ratio of 7︰3.The tumor boundaries were delineated on the preoperative CT images using 3D Slicer software,and radiomics features were extracted using the Radiomics plugin.Univariate analysis,recursive fea-ture elimination(RFE),least absolute shrinkage and selection operator(LASSO)algorithms were used to select the best radiomics features.Three machine learning models were constructed on the training set and the grid search method was used to select the best combination of hyperparameters.The receiver operating characteristic(ROC)curve,calibration curve and decision curve were used to evaluate the performance of each machine learning model on the training set and test set.Results Random forest model,logistic regres-sion model and support vector machine model can better identify RO and chRCC.In the training set,the area under the curve(AUC)of random forest model and support vector machine model were 0.950[95%confidence interval(CI)0.901-0.998]and 0.955(95%CI 0.908-1.000),respectively,which were higher than the AUC of logistic regression model 0.882(95%CI 0.806-0.956).Statistical differences were found by DeLong test(P<0.05);In the test set,the AUC of random forest model,logistic regression model and support vector machine model were 0.876(95%CI 0.758-0.993),0.883(95%CI 0.768-0.997)and 0.883(95%CI 0.768-0.997),respectively.There was no significant statistical difference in the AUC of each model by DeLong test(P>0.05).The decision curve showed that all three models had significant net clinical benefits.Conclusion The machine learning model based on contrast-enhanced CT radiomics can effectively distinguish RO from chRCC.

Objective:To identify the trajectories of dietary choline intake in middle-aged and older population, and to analyze its longitudinal association with cognitive function.Methods:Subjects aged 55 to 79 years with at least two rounds of completed population economics, lifestyle, disease history, cognitive function, dietary assessments and physical measurements in 1997-2018 and those with at least three rounds of dietary measures in 1991-2015 were selected from the China Health and Nutrition Survey. Dietary survey was conducted using three consecutive 24-hour dietary recalls combined with a weighing inventory at the household level. Cognitive assessment was performed using part of the Telephone Interview for Cognitive Status Scale. Group-based univariate trajectory modeling was used to identify trajectory of choline intake, and three-level linear mixed-effects models or three-level logistic mixed-effects models was employed to analyze the relationship between trajectory groups and cognitive function. Subgroup analyses were conducted by gender and age at baseline.Results:Four trajectories of dietary choline intake were identified in the whole population, named as low-intake-stable group (61.0%), medium-intake-stable group (23.9%), medium-intake-slowly-declined group (11.2%), and high-intake-stable group (3.9%). Three trajectories were identified for each subgroup. Low-intake-stable group accounted for more than 60% in total population as well as each subgroup, especially in women and 55-59 years group. After adjusting for covariates, global cognitive scores were 0.54 (95% CI: 0.26-0.82), 0.77 (95% CI: 0.36-1.18), and 0.85 (95% CI: 0.21-1.48) points higher in medium-intake-stable, medium-intake- slowly-declined and high-intake-stable groups in the whole population, respectively, compared with the low-intake-stable group. The likelihoods of cognitive decline were 18.4% ( OR=0.816,95% CI: 0.709-0.939), 17.6% ( OR=0.824, 95% CI: 0.680-0.998), 24.4% ( OR=0.756, 95% CI: 0.589-0.970) and 22.4% ( OR=0.776,95% CI: 0.623-0.968) lower in medium-intake-stable group of dietary choline in the whole population, medium-intake-stable group in males, medium-intake-slightly-increased group in females and medium-intake-slowly-increased group in 55-59 years at baseline than in low-intake-stable group, respectively. Conclusions:Dietary choline intake is generally lower in the Chinese population aged 55-79 years. Long-term lower choline intake has a negative impact on cognitive function in middle-aged and older adults and may increase the risk of cognitive decline. The increment in the consumption of choline-enriched foods should be recommended.

Objective:To analyze the application of antitoxin therapy in severe infant botulism.Methods:A retrospective analysis was conducted on 14 cases of severe infant botulism treated at 3 pediatric medical centers from July 2020 to August 2024. This study investigated antitoxin dosage, treatment duration, discontinuation criteria and adverse reactions.Results:A total of 14 cases (12 males and 2 females) were included, with an age of 5.0 (3.8, 7.0) months. Botulinum toxin typing revealed 10 cases of Type B, 2 cases of Type A and 2 untyped cases. The interval from symptom onset to antitoxin administration was 9.0 (6.0, 11.5) d. The initial dosage of type A antitoxin was 12 500 (10 000, 22 500) U, while type B was 5 000 (5 000, 5 000) U. The dosage was tapered in some cases after symptom improvement, the duration of treatment was 16.5 (9.8, 25.3) d. In total, 11 infants discontinued medications after improvement in muscle strength, while 3 infants discontinued treatment after obtaining negative results from fecal mouse bioassays. Adverse events were reported in 2 cases, both of which resulted in rash, and 1 case was complicated with anaphylactic shock. All the patients survived upon discharge with a follow-up period of 11 d to 3 years and 8 months. Totally 12 infants had fully recovered, while 2 infants were still recovering after discharge.Conclusion:Antitoxin therapy is a feasible and safe approach which showed favorable prognosis in severe infant botulism.

Chronic gastritis is a chronic inflammation of the gastric mucosa caused by various etiologies and can be categorized into chronic non-atrophic gastritis and chronic atrophic gastritis.Chronic atrophic gastritis is a common disorder of the digestive system characterized by gastric mucosal gland atrophy,mucosal thinning,and basal layer thickening.The development of intestinal metaplasia and atypical hyperplasia on this basis is recognized as a precancerous lesion of gastric cancer and represents a key stage in the"inflammation-cancer transformation"of chronic gastritis.However,universally recognized and effective treatment strategies for this"inflammation-cancer transformation"process are lacking in clinical practice.This study integrates Correa′s cascade reaction with clinical practice,summarizing the pathogenesis of the"inflammation-cancer transformation"of chronic gastritis as weakness of the middle jiao and blood stasis.It suggests that the"inflammation-cancer transformation"process involves the pathological development of spleen and stomach deficiency,transportation and transformation dysfunction,turbid phlegm,blood stasis,and the gradual formation of cancerous toxins,with spleen and stomach weakness as the core mechanism and phlegm and blood stasis as the crucial pathological link.Based on an in-depth exploration of the deficiency of the middle jiao and blood stasis,supported by pharmacological research and clinical experience,this paper proposes the therapeutic approach of strengthening the spleen and replenishing qi,expelling phlegm and activating blood.It discusses the related prescriptions in preventing and treating the"inflammation-cancer transformation"of chronic gastritis.This study aims to provide new perspectives and insights for the prevention and treatment of chronic gastritis with traditional Chinese medicine,offering a novel framework for clinical treatment.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:To identify the trajectories of dietary choline intake in middle-aged and older population, and to analyze its longitudinal association with cognitive function.Methods:Subjects aged 55 to 79 years with at least two rounds of completed population economics, lifestyle, disease history, cognitive function, dietary assessments and physical measurements in 1997-2018 and those with at least three rounds of dietary measures in 1991-2015 were selected from the China Health and Nutrition Survey. Dietary survey was conducted using three consecutive 24-hour dietary recalls combined with a weighing inventory at the household level. Cognitive assessment was performed using part of the Telephone Interview for Cognitive Status Scale. Group-based univariate trajectory modeling was used to identify trajectory of choline intake, and three-level linear mixed-effects models or three-level logistic mixed-effects models was employed to analyze the relationship between trajectory groups and cognitive function. Subgroup analyses were conducted by gender and age at baseline.Results:Four trajectories of dietary choline intake were identified in the whole population, named as low-intake-stable group (61.0%), medium-intake-stable group (23.9%), medium-intake-slowly-declined group (11.2%), and high-intake-stable group (3.9%). Three trajectories were identified for each subgroup. Low-intake-stable group accounted for more than 60% in total population as well as each subgroup, especially in women and 55-59 years group. After adjusting for covariates, global cognitive scores were 0.54 (95% CI: 0.26-0.82), 0.77 (95% CI: 0.36-1.18), and 0.85 (95% CI: 0.21-1.48) points higher in medium-intake-stable, medium-intake- slowly-declined and high-intake-stable groups in the whole population, respectively, compared with the low-intake-stable group. The likelihoods of cognitive decline were 18.4% ( OR=0.816,95% CI: 0.709-0.939), 17.6% ( OR=0.824, 95% CI: 0.680-0.998), 24.4% ( OR=0.756, 95% CI: 0.589-0.970) and 22.4% ( OR=0.776,95% CI: 0.623-0.968) lower in medium-intake-stable group of dietary choline in the whole population, medium-intake-stable group in males, medium-intake-slightly-increased group in females and medium-intake-slowly-increased group in 55-59 years at baseline than in low-intake-stable group, respectively. Conclusions:Dietary choline intake is generally lower in the Chinese population aged 55-79 years. Long-term lower choline intake has a negative impact on cognitive function in middle-aged and older adults and may increase the risk of cognitive decline. The increment in the consumption of choline-enriched foods should be recommended.

Objective To investigate the value of machine learning models based on contrast-enhanced CT radiomics in differentia-ting renal oncocytoma(RO)from chromophobe renal cell carcinoma(chRCC).Methods A total of 65 patients with RO and chRCC confirmed by pathology with complete clinical and imaging data were analyzed retrospectively.The patients were randomly divided into training set(n=45)and test set(n=20)according to a ratio of 7︰3.The tumor boundaries were delineated on the preoperative CT images using 3D Slicer software,and radiomics features were extracted using the Radiomics plugin.Univariate analysis,recursive fea-ture elimination(RFE),least absolute shrinkage and selection operator(LASSO)algorithms were used to select the best radiomics features.Three machine learning models were constructed on the training set and the grid search method was used to select the best combination of hyperparameters.The receiver operating characteristic(ROC)curve,calibration curve and decision curve were used to evaluate the performance of each machine learning model on the training set and test set.Results Random forest model,logistic regres-sion model and support vector machine model can better identify RO and chRCC.In the training set,the area under the curve(AUC)of random forest model and support vector machine model were 0.950[95%confidence interval(CI)0.901-0.998]and 0.955(95%CI 0.908-1.000),respectively,which were higher than the AUC of logistic regression model 0.882(95%CI 0.806-0.956).Statistical differences were found by DeLong test(P<0.05);In the test set,the AUC of random forest model,logistic regression model and support vector machine model were 0.876(95%CI 0.758-0.993),0.883(95%CI 0.768-0.997)and 0.883(95%CI 0.768-0.997),respectively.There was no significant statistical difference in the AUC of each model by DeLong test(P>0.05).The decision curve showed that all three models had significant net clinical benefits.Conclusion The machine learning model based on contrast-enhanced CT radiomics can effectively distinguish RO from chRCC.