Constipation,a common functional gastrointestinal disorder,not only severely impairs patients'quality of life but is also highly comorbid with psychiatric conditions such as anxiety and depression.Emerging evidence indicates that gut microbiota dysbiosis is a critical link connecting these two disease states.On one hand,dysbiosis exacerbates constipation by affecting host metabolism and intestinal function;on the other,it plays a central role in the pathophysiology of mood disorders.This complex interaction is primarily mediated through the"microbiota-gut-brain axis."Therefore,elucidating the intrinsic relationship among anxiety,depression,gut microbiota,and constipation has become a frontier of interdisciplinary research.

Objective:To explore the implementation method of the "daily-monthly-quarterly" quality control model based on total quality management (TQM) theory in nursing quality management, and evaluate its application effectiveness.Methods:A quasi-experimental research method was used. The quarterly quality control model employed at Shanxi Medical University Second Hospital from 2018 to 2019 was set as the control group, and the"day-month-quarter" quality control model based on TQM implemented from 2020 to 2022 was set as the observation group. The nurse practice environment assessment scores from 2018 to 2022 were analyzed; the nursing quality-sensitive indicators between the two groups were compared, including the incidence rate of overall adverse event, falls among hospitalized patients, pressure ulcers of stage 2 and above, unplanned extubations, and catheter-related infections (central venous catheter-related bloodstream infections, ventilator-associated pneumonia, and catheter-associated urinary tract infections).Results:The nurse practice environment assessment scores from 2018 to 2022 were (69.11 ± 19.66), (75.20 ± 18.70), (77.60 ± 17.65), (82.45 ± 16.44), and (88.00 ± 15.06). The differences compared to the previous year were statistically significant ( t=3.63-9.24, all P<0.05).After the intervention, the incidence rates of overall adverse events, falls among hospitalized patients, unplanned extubation, central venous catheter-related bloodstream infections, and ventilator-associated pneumonia in the control group were 0.385% (499/129 678), 0.072% (94/129 678), 0.051% (66/129 678), 0.037% (23/62 390), and 0.746% (43/5 761). Compared to 0.258% (551/213 851), 0.048% (103/213 851), 0.033% (71/213 851), 0.019% (19/98 642), and 0.444% (88/19 826) in the observation group. The differences were statistically significant ( χ2values were 3.89-42.83, all P<0.05). There were no statistically significant differences in the incidence rates of pressure ulcers of stage 2 and above and catheter-associated urinary tract infections (both P>0.05). Conclusions:The "daily-monthly-quarterly" quality control model based on TQM is beneficial in improving nursing quality and ensuring patient safety.

Constipation,a common functional gastrointestinal disorder,not only severely impairs patients'quality of life but is also highly comorbid with psychiatric conditions such as anxiety and depression.Emerging evidence indicates that gut microbiota dysbiosis is a critical link connecting these two disease states.On one hand,dysbiosis exacerbates constipation by affecting host metabolism and intestinal function;on the other,it plays a central role in the pathophysiology of mood disorders.This complex interaction is primarily mediated through the"microbiota-gut-brain axis."Therefore,elucidating the intrinsic relationship among anxiety,depression,gut microbiota,and constipation has become a frontier of interdisciplinary research.

Objective:To explore the implementation method of the "daily-monthly-quarterly" quality control model based on total quality management (TQM) theory in nursing quality management, and evaluate its application effectiveness.Methods:A quasi-experimental research method was used. The quarterly quality control model employed at Shanxi Medical University Second Hospital from 2018 to 2019 was set as the control group, and the"day-month-quarter" quality control model based on TQM implemented from 2020 to 2022 was set as the observation group. The nurse practice environment assessment scores from 2018 to 2022 were analyzed; the nursing quality-sensitive indicators between the two groups were compared, including the incidence rate of overall adverse event, falls among hospitalized patients, pressure ulcers of stage 2 and above, unplanned extubations, and catheter-related infections (central venous catheter-related bloodstream infections, ventilator-associated pneumonia, and catheter-associated urinary tract infections).Results:The nurse practice environment assessment scores from 2018 to 2022 were (69.11 ± 19.66), (75.20 ± 18.70), (77.60 ± 17.65), (82.45 ± 16.44), and (88.00 ± 15.06). The differences compared to the previous year were statistically significant ( t=3.63-9.24, all P<0.05).After the intervention, the incidence rates of overall adverse events, falls among hospitalized patients, unplanned extubation, central venous catheter-related bloodstream infections, and ventilator-associated pneumonia in the control group were 0.385% (499/129 678), 0.072% (94/129 678), 0.051% (66/129 678), 0.037% (23/62 390), and 0.746% (43/5 761). Compared to 0.258% (551/213 851), 0.048% (103/213 851), 0.033% (71/213 851), 0.019% (19/98 642), and 0.444% (88/19 826) in the observation group. The differences were statistically significant ( χ2values were 3.89-42.83, all P<0.05). There were no statistically significant differences in the incidence rates of pressure ulcers of stage 2 and above and catheter-associated urinary tract infections (both P>0.05). Conclusions:The "daily-monthly-quarterly" quality control model based on TQM is beneficial in improving nursing quality and ensuring patient safety.

Objective To explore the research status and hotspots of umbilical acupuncture over the past 20 years using bibliometric methods,thus to providing references for the subsequent clinical treatment of umbilical acupuncture and studies of the therapeutic mechanism.Methods Literature on umbilical acupuncture published between 2004 and 2024 was retrieved from the CNKI,Wanfang Data Knowledge Service Platform,and VIP Chinese Journal Service Platform.Duplicate check was conducted using NoteExpress 3.9.0 software,and then manual screening was performed.The included literature data were imported into VOSviewer for visualized analysis,including institutional collaboration,author collaboration,and keyword co-occurrence.Results A total of 388 articles were included,comprising 286 original research articles,23 reviews,and 79 dissertations.Annual publication analysis revealed a significant upward trend in umbilical acupuncture research output starting from 2017.Zhejiang Chinese Medical University and Hangzhou Hospital of Traditional Chinese Medicine ranked first in publication volume,and Bao Yehua was the most prolific author.Inter-institutional collaboration remained limited,and author collaborations usually occurred in small-team models.Clinical research was the most commonly-seen keyword,and insomnia and stroke were the diseases being frequently studied.Conclusion Clinical research has become the focus of umbilical acupuncture studies over the past two decades,while mechanism research is still in its early stages.Current research hotspots include the research about insomnia and stroke.

Objective To investigate the effect of naringenin(NAR)on right ventricular remodeling induced by hypoxic pulmonary hypertension(HPH)and its related mechanism.Methods SD rats were randomly divided into the control group(NC),the NC+NAR group,the HPH group and the HPH+NAR group,with 15 rats in each group.HPH model was established in a low-pressure hypoxic artificial chamber.After the successful construction of the model,rats in the NC+NAR group and the HPH+NAR group were given NAR 100 mg/(kg·d)gavage once a day for 4 weeks,while rats in the NC group and the HPH group were given the same volume of normal saline once a day for 4 weeks.Right ventricular free wall thickness(RVEDWT)and end-diastolic right ventricular diameter(RVEDD)were measured by echocardiography.Right ventricular systolic pressure(RVSP)and mean pulmonary artery pressure(mPAP)were measured by cardiac catheter.Right ventricular mass ratio(RV/BW)and right ventricular hypertrophy index(RVHI)were calculated.Masson and Sirius staining of right ventricle was used to calculate the collagen volume fraction(CVF).TUNEL staining was used to evaluate the apoptosis of right ventricular cardiomyocytes.The contents of malondialdehyde(MDA)and the activity of superoxide dismutase(SOD)in right ventricular myocardium were detected.The expression of Rho associated kinase(ROCK)protein was detected by Western blot assay.Results Compared with the NC group and the NC+NAR group,mPAP,RVSP,RVEDWT,RV/BW,RVHI,right ventricular CVF,right ventricular myocardial cell apoptosis rate,MDA content and ROCK1 and ROCK2 protein expression in right ventricular myocardial tissue were increased in the HPH group.RVEDD and SOD activity in right ventricular myocardium were decreased(P＜0.05).Compared with the HPH group,mPAP,RVSP,RVEDWT,RV/BW,RVHI,right ventricular CVF,right ventricular myocardial cell apoptosis rate,MDA content,ROCK1 and ROCK2 protein expression in right ventricular myocardial tissue were decreased in the HPH+NAR group,and RVEDD and SOD activity in right ventricular myocardium were increased(P＜0.05).Conclusion NAR can reduce HPH-induced right ventricular remodeling,and its mechanism may be related to inhibiting ROCK signaling pathway and further improving apoptosis and oxidative stress in right ventricular myocardium.

ObjectiveTo explore the effectiveness of traditional Chinese medicine （TCM） chronic disease management programme in preventing postoperative recurrence of colorectal polyps. MethodsThe clinical data of 447 postoperative colorectal polyp patients were retrospectively collected， and the patients were divided into an exposure group and a control group taking the acceptance of TCM chronic disease management programme as exposure factor， and the polyp recurrence rate as the main outcome indicator， comparing the differences in baseline characteristics， outcome events， and safety assessment between the two groups， and conducting correlation analysis between the length of medication and polyp recurrence. Multifactorial logistic regression was used to analyse the effects of receiving the TCM chronic disease management programme （TCM treatment and life management for spleen deficiency and dampness stasis syndrome， dampness and stasis obstruction in collaterals syndrome， and intestinal dampness and heat syndrome）， gender， age， co-morbidities， TCM syndrome， and dietary and exercise factors on the outcome events. ResultsAmong 257 postoperative patients with colorectal polyps， there were 172 in the exposure group and 85 in control group. The recurrence rate of polyps in exposure group was 22.7% （39/172）， while the recurrence rate in control group was 57.6% （49/85）， and the difference between groups was statistically significant （P＜0.01）. The diameter of recurrent polyps in exposure group （median= 4.0 mm） was smaller than that in control group （median= 5.0 mm， P＜0.01）. The correlation analysis between the duration of medication taking and the recurrence of polyps in the spleen deficiency and dampness stasis syndrome group showed Phi value as -0.345 （P＜0.001）； the correlation analysis within the group of dampness and stasis obstruction in collaterals syndrome showed Phi value as -0.361 （P＜0.05）， indicating a negative correlation between the duration of medication taking and polyp recurrence. The results of multivariate logistic regression analysis indicated that the positive effect of accepting TCM chronic disease management programme on preventing polyp recurrence is statistically significant （OR=0.224， P＜0.01）. ConclusionAccepting TCM chronic disease management programme for colorectal polyps can help reducing the recurrence rate after polyp surgery， which is a protective factor for patients to the outcome event.

Objective:To evaluate the effectiveness of empiric eradication therapy recommendations and medication principles for refractory infections based on the 2022 Helicobacter pylori ( H. pylori) infection treatment guidelines in China in clinical practice. Methods:A retrospective analysis was conducted to evaluate the eradication efficacy of H. pylori and the safety and treatment compliance among of 637 patients with refractory H. pylori infection in our center over the past 10 years. Risk factors affecting efficacy of H. pylori eradication were evaluated. Results:The overall eradication rate, incidence of adverse reactions and medication percentage of 14-day bismuth quadruple therapy were 92.3%, 40.3% and 92.2%, respectively. The eradication rate, incidence of adverse reactions, and proportion of administered treatments were as follows: 87.3%, 36.4% and 92.7% for amoxicillin+metronidazole; 91.1%, 39.2% and 93.7% for amoxicillin+tetracycline; 92.9%, 23.8% and 94.0% for amoxicillin+furazolidone; 92.1%, 47.1% and 90.0% for tetracycline+metronidazole; 94.5%, 41.7% and 92.0% for tetracycline+furazolidone, and 91.3%, 46.3% and 92.5% for furazolidone+metronidazole. Poor compliance was a risk factor for the failure of eradication therapy (94.7% vs. 64.0%, P<0.05). There was no statistically significant difference ( P>0.05) in the eradication rate among patients in terms of sex, age, body mass index, smoking status, alcohol consumption, previous eradication frequency, eradication interval, or eradication regimens. Conclusion:The empirical treatment regimens and medication principles recommended in the 2022 H. pylori infection treatment guidelines in China achieve good eradication efficacy, safety, and compliance.

The core pathogenesis of disease caused by latent toxin is deficiency of healthy qi and lingering pathogen, which is characterized by lingering and recurrent courses, and onset upon exogenous induction. The biological mechanisms of disease caused by latent toxin present multi-dimensional and synergistic characteristics. Immune dysfunction and inflammatory response serve as the core links, involving the abnormal activation of signaling pathways such as Wnt/β-catenin, PI3K/Akt/mTOR, TLR, and NF-κB; the accumulation of metabolites, as the microscopic carrier of latent toxin, participates in chronic complications of diabetes by damaging vascular endothelium and inhibiting repair pathways; immune escape and tolerance, as well as weakened tumor suppressor function, supplement the potential mechanisms of latent toxin from the perspectives of pathogen/tumor cell latency and congenital insufficiency; the imbalance of tissue repair and remodeling, and the imbalance of protein metabolism and cellular homeostasis further improve the mechanism network of latent toxin. Among these, immune dysfunction, tumor suppressor gene mutation, and regulatory dysfunction may be the microscopic manifestations of "healthy qi deficiency"; inflammatory factors, metabolites, viruses, and tumor cells may be the microscopic manifestations of "latent toxin". Current studies have limitations, such as unclear specific biomarkers for different types of latent toxin, insufficient research on the interaction of multiple mechanisms, and lack of clinical verification. It is suggested that future research should be further carried out around "latent toxin classification-mechanism-efficacy".

Objective:To evaluate the accuracy of the oral healthcare information provided by different large language models (LLM) to explore their feasibility and limitations in the application of oral auxiliary, treatment and health consultation.Methods:This study designed eight items comprising 47 questions in total related to the diagnosis and treatment of oral diseases [to assess the performance of LLM as an artificial intelligence (AI) medical assistant], and five items comprising 35 questions in total about oral health consultations (to assess the performance of LLM as a simulated doctor). These questions were answered individually by the five LLM models (Erine Bot, HuatuoGPT, Tongyi Qianwen, iFlytek Spark, ChatGPT). Two attending physicians with more than 5 years of experience independently rated the responses using the 3C criteria (correct, clear, concise), and the consistency between the raters was assessed using the Spearman rank correlation coefficient, and the Kruskal-Wallis test and Dunn post hoc test were used to assess the statistical differences between the models. Additionally, this study used 600 questions from the 2023 dental licensing examination to evaluate the time taken to answer, scores, and accuracy of each model.Results:As an AI medical assistant, LLM can assist doctors in diagnosis and treatment decision-making, with an inter-evaluator Spearman coefficient of 0.505 ( P<0.01). As a simulated doctor, LLM can carry out patient popularization, with an inter-evaluator Spearman coefficient of 0.533 ( P<0.01). The 3C scores of each model as an AI medical assistant and a simulated doctor were respectively: 2.00 (1.00, 3.00) and 2.00 (2.00, 3.00) points of Erine Bot, 1.00 (1.00, 2.00) and 2.00 (1.00, 2.00) points of HuatuoGPT, 2.00 (1.00, 2.00) and 2.00 (1.00, 3.00) points of Tongyi Qianwen, 2.00 (1.00, 2.00) and 2.00 (1.75, 2.25) points of iFlytek Spark, 3.00 (2.00, 3.00) and 3.00 (2.00, 3.00) points of ChatGPT (full score of 4 points). The Kruskal-Wallis test results showed that, as an AI medical assistant or a simulated doctor, there were statistically differences in the 3C scores among the five large language models (all P<0.001). The average score of the 5 LLMs on the dental licensing examination was 370.2, with an accuracy rate of 61.7% (370.2/600) and a time consumption of 94.6 min. Specifically, Erine Bot took 115 min, scored 363 points with an accuracy rate of 60.5% (363/600), HuatuoGPT took 224 min and scored 305 points with an accuracy rate of 50.8% (305/600), Tongyi Qianwen took 43 min, scored 438 points with an accuracy rate of 73.0% (438/600), iFlytek Spark took 32 min, scored 364 points with an accuracy rate of 60.7% (364/600), and ChatGPT took 59 min, scored 381 points with an accuracy rate of 63.5% (381/600). Conclusions:Based on the evaluation of LLM′s dual roles as an AI medical assistant and a simulated doctor, ChatGPT performes the best, with basically correct, clear and concise answers, followed by Erine Bot, Tongyi Qianwen and iFlytek Spark, with HuatuoGPT lagging behind significantly. In the dental licensing examination, all the 4 LLM, except for HuatuoGPT, reach the passing level, and the time consumpution for answering is significantly reduced compared to the 8 h required for the exam regulations in all of the five models. LLM has the feasibility of application in oral auxiliary, treatment and health consultation, and it can help both doctors and patients obtain medical information quickly. Howere, their outputs carry a risk of errors (since the 3C scoring results do not reach the full marks), so prudent judgment should be exercised when using them.