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 analyze the characteristics of alcohol poisoning cases among minors receiving pre hospital 120 emergency services in Zhengzhou, providing evidence for regional management strategies of alcohol poisoning among minors. Methods: A retrospective study was conducted on 1 630 alcohol poisoning cases (aged 0-18 years) from Zhengzhou s 120 emergency system during 2017-2019 and 2023. Data on gender, age, occurrence timeframes were analyzed using t-test and χ 2 test for intergroup comparisons. Results: Annual cases were 291 (2017), 353 (2018), 483 (2019), and 503 (2023). Compared with 2017, male alcohol poisoning cases increased by 66.94% while female cases surged 104.35% by 2023. The peak incidence of alcohol poisoning among minors occurred among 16-18 year olds (85.40%), followed by 13-15 year olds (13.74%). Most cases clustered between 21:01-03:00 (60.43%), with male cases peaking at 22:01-23:00 (12.73%) and female cases peaking at 02:01-03:00 ( 11.25 %). Between 00:01-03:00, male cases progressively decreased while female cases increased. Severity distribution showed 355 mild cases (21.78%), 1 035 moderate cases (63.50%), and 240 severe cases (14.72%). Conclusions Zhengzhou region has experienced sustained growth in underage alcohol poisoning cases, predominantly occurring from evening to early morning with moderate severity, female cases demonstrate faster growth rates. Multifaceted regulatory measures should be implemented to strengthen supervision of underage drinking behaviors.

The randomized controlled trials (RCTs) regarding acupuncture direction published from January 1st, 2013, to November 7th, 2023 were searched in China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform, and VIP Chinese Journal Database. As a result, 21 RCTs were included. The problems identified included conceptual misunderstandings regarding acupuncture direction, incomplete selection strategies, confounding research factors, and inaccuracies in reporting. Based on the findings, four strategic approaches for enhancing therapeutic efficacy through acupuncture direction were summarized: aligning needle direction with the meridian pathway, directing the needle toward the lesion site, orienting the needle toward adjacent acupoints, and targeting special anatomical structures. Two additional strategies were proposed for optimizing the procedure: simplifying acupuncture operations and directing the needle toward safe anatomical sites. Recommendations were made to improve the rationality of research factor settings and the completeness of acupuncture operation reporting. Furthermore, three methods for reporting acupuncture direction were discussed: reporting the tip-pointed position, reporting the insertion angle and orientation, and reporting azimuth and polar angles, aiming to promote greater standardization and completeness in acupuncture practice and reporting.
Acupuncture Therapy/standards* ; Humans ; Acupuncture Points ; Randomized Controlled Trials as Topic ; Meridians

Objective To investigate the characteristics of changes in blood uric acid(UA)and detection rate of hyperuricemia(HUA)among officers and soldiers during long-term maritime missions,as well as their related influencing factors.Methods A total of 100 servicemen were randomly selected from 240 officers and soldiers who will participate in a long-distance voyage mission.Their general information,including age,education level,administrative position,years of service on board,and department,was surveyed.Their annual data of physical examination were retrospectively analyzed and compared with the results of another 335 shore-based servicemen during the same period.On mission day 10(D10)and day 50(D50),the venous blood samples were collected from the participants to synchronously measure blood UA level and body composition indicators(body fat mass,BMI,fat percentage,fat mass,muscle mass,and muscle percentage).Additionally,on D50,Self-Rating Scale of Sleep(SRSS)and Symptom Checklist-90(SCL-90)were employed to survey their conditions.Seventy service members were randomly selected from the 100 participants to engage in aerobic exercise.The changes in UA level and detection rate of HUA among the mission personnel were analyzed,along with their influencing factors.Results The UA level and HUA detection rate in long-term navigation personnel during concurrent annual physical examinations were significantly lower than those in shore-based personnel(P<0.01).Compared to pre-voyage physical examination results,the UA level and HUA detection rate in long-term navigation personnel were significantly increased from mission day D10(P<0.001).Compared to the values at D10,the UA level and HUA detection rate at D50 showed significant decreases(P<0.05),and then essentially returned to pre-mission examination levels(P>0.05).Aged<32 years was an independent risk factor for new-onset HUA at mission D10(P<0.05).<32 years old and aerobic exercise during the voyage were independent influencing factors for HUA outcome(P<0.05).Conclusion Serum UA level and HUA detection rate among officers and soldiers participating in long-term maritime missions are relatively low before departure,but in significant increases during the early stages of the mission,particularly among those aged<32 years.Scientific aerobic exercise during the mission period helps reduce UA level and HUA detection rate,playing a crucial role in guaranteeing physical and mental health.

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 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.

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 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.