OBJECTIVE To construct an intelligent pharmaceutical Q&A platform for precision medication with low “artificial intelligence （AI） hallucination”， aiming to enhance the accuracy， consistency， and traceability of medication consultations. METHODS Medication package inserts were batch-processed and converted into structured data through Python programming to build a local pharmaceutical knowledge base. The retrieval and question-answering processes were designed based on large language models， and system integration and localized deployment were completed on Dify platform. By designing typical clinical medication questions and comparing the output of the intelligent pharmaceutical Q&A platform with the online version of DeepSeek across dimensions such as peak time retrieval， half-life， and dosage adjustment reasoning for patients with renal impairment， the accuracy and reliability of its retrieval and reasoning results were evaluated. RESULTS The intelligent pharmaceutical Q&A platform， constructed based on local drug package inserts， achieved 100% accuracy in retrieval and reasoning for peak time， half-life， and dosage adjustment schemes. In comparison， the online version of DeepSeek demonstrated accuracies of 30%（6/20）， 50%（10/20）， and 38%（23/60） across these three dimensions， respectively. CONCLUSIONS The constructed intelligent pharmaceutical Q&A platform is capable of accurately retrieving and extracting information from the local knowledge base based on clinical inquiries， thereby avoiding the occurrence of AI hallucinations and providing reliable medication decision support for healthcare professionals.

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.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveTo observe the effect of healthy side tilt training on balance function in patients with Pusher syndrome (PS) after stroke. MethodsFrom February, 2021 to November, 2023, 40 patients with PS after stroke in People's Hospital of Bayingolin Mongolian Autonomous Prefecture were selected. They were divided into control group (n = 20) and experimental group (n = 20) in accordance with the order of the patients' admission. The control group received comprehensive training for paralyzed limbs combined with sitting balance training, and the experimental group received comprehensive training for paralyzed limbs combined with healthy side tilt training, for three weeks. They were assessed with Burke Lateropulsion Scale (BLS), Fugl-Meyer Assessment-Balance (FMA-B) and modified Barthel Index (MBI) before and after treatment. ResultsAfter treatment, BLS score significantly decreased in both groups (t > 12.603, P < 0.001), and was lower in the experimental group than in the control group (t = -2.559, P < 0.05). The scores of FMA-B and MBI were significantly increased in both groups (|Z| > 3.941, |t| > 12.082, P < 0.001), and FMA-B score was higher in experimental group than in the control group (Z = -2.538, P < 0.05). ConclusionComprehensive training for paralyzed limbs combined with healthy side tilt training can effectively improve the balance function and postural control of patients with PS after stroke, and improve the activities of daily living.

Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

Objective To compare the benefits and drawbacks of primary patch expansion versus pericardial tube right ventricular-pulmonary artery connection in patients diagnosed with pulmonary atresia with ventricular septal defect (PA/VSD). Methods A retrospective study was conducted on patients diagnosed with PA/VSD who underwent primary right ventricular-pulmonary artery connection surgery at our center between 2010 and 2020. Patients were categorized into two groups based on the type of right ventricular-pulmonary artery connection: a pericardial tube group and a patch expansion group. Clinical data and imaging findings were compared between the two groups. Results A total of 51 patients were included in the study, comprising 31 males and 20 females, with a median age of 12.57 (4.57, 49.67) months. The pericardial tube group included 19 patients with a median age of 17.17 (7.33, 49.67) months, while the patch expansion group consisted of 32 patients with a median age of 8.58 (3.57, 52.72) months. In both groups, the diameter of pulmonary artery, McGoon index, and Nakata index significantly increased after treatment (P<0.001). However, the pericardial tube group exhibited a longer extracorporeal circulation time (P<0.001). The reoperation rate was notably high, with 74.51% of patients requiring further surgical intervention, including 26 (81.25%) patients in the patch expansion group and 12 (63.16%) patients in the pericardial tube group. No statistical differences were observed in long-term cure rates or mortality between the two groups (P＞0.005). Conclusion In patients with PA/VSD, both patch expansion and pericardial tube right ventricular-pulmonary artery connection serve as effective initial palliative treatment strategies that promote pulmonary vessel development and provide a favorable foundation for subsequent radical operations. However, compared to the pericardial tube approach, the patch expansion technique is simpler to perform and preserves some intrinsic potential for pulmonary artery development, making it the preferred procedure.

Objective: To analyze the time varying characteristics of weight among Han primary and secondary school students in Xinjiang from 1985 to 2019, so as to provide a scientific basis for formulating nutrition policies for adolescents in ethnic minority areas. Methods: Weight data of Han primary and secondary school students aged 7-18 in Xinjiang from the National Student Physical Fitness and Health Survey from 1985 to 2019 were selected. Statistical analysis was conducted by using general linear model test, one way ANOVA and t-test. The weight development trends in 2025 and 2030 were predicted through time series analysis. Results: From 1985 to 2019, the weight of Han Chinese boys and girls from primary and secondary schools in Xinjiang showed a continuous upward trend (boys: B =0.25,girls: B =0.16, P <0.01). There were statistically significant differences in weight between boys and girls aged 7-18 in different years (boys: F =102.35-142.05, girls: F =98.03-140.59, P <0.01). Compared with 1985, the weight of urban boys and girls increased by 11.92 and 7.95 kg in 2019, as well as rural boys and girls by 11.36 and 5.61 kg, and the average weight gain of urban students was greater than that of rural students. From 1985 to 2019, the weight of urban boys and girls were higher than that of rural boys and girls (boys: t =30.12-37.55, girls: t =30.12-38.64, P <0.01). In 2005, the weight difference between urban and rural boys and girls was the largest, at 4.23 and 2.32 kg. The average weight of boys and girls in the age groups of 7-18 would continue to increase in 2025 and 2030; compared with 2019, the 7-year old age group for boys and the 17-year old age group for girls would have the largest growth in 2030 by 2.29 and 3.75 kg. Conclusions From 1985 to 2019, the weight of students aged 7-18 in Xinjiang showed an upward trend, and the weights of both boys and girls would gradually increase in 2025 and 2030. Attention should be paid to students physical health and adopt comprehensive measures to prevente overweight and obesity.

Hospital culture is the sum of common values， codes of conduct， and working methods formed by internal employees within the hospital， and it is the spiritual pillar and core of cohesion of the hospital. Party-building leadership plays an important role in promoting hospital culture construction， including strengthening values guidance， enhancing team cohesion， facilitating management system innovation， and shaping social image and brand value. By analyzing the effectiveness of a series of Party-building activities carried out by Xi’an No. 9 Hospital in recent years， this paper explored the effect and significance of Party-building leadership in promoting hospital culture construction in the new era， as well as proposed guiding strategies for strengthening Party-building work in promoting hospital culture construction in the new era， so as to promote high-quality development of the hospital.

Background With the large-scale production and application of carbon black nanoparticles (CBNPs), occupational and general exposure is obviously increasing. Related studies have shown that exposure to CBNPs can induce oxidative stress, inflammation, and DNA damage. Objective To establish a CBNPs-induced malignant transformation (C-BEAS-2B) model of human lung epithelial cells (BEAS-2B) and explore the role and mechanism of circCCDC138 in the malignant transformation process. Methods At 0, 10, 20, 40 and 80 μg·mL⁻¹ CBNPs concentrations, cell viability was detected by CCK8 assay. BEAS-2B cells were exposed to 20 mg·mL⁻¹ CBNPs for three months, and a malignant transformation model of BEAS-2B induced by CBNPs was constructed. The migration and invasion abilities of the cells were detected by cell scratch and Transwell assays. The expressions of circ-CCDC138 in BEAS-2B and C-BEAS-2B were detected by qRT-PCR, and its stability was verified by a digestive resistance test. A cell model with interference or overexpression of circCCDC138 was constructed, and the expression of circCCDC138 in the cells was detected by quantitative reverse transcription-PCR. The cell cycle and apoptosis were determined by flow cytometry. Western blot was used to analyze the expression of p53 protein. Results The CBNPs used in the experiment were spherical particles with a chain-like structure. In the 20 μg·mL⁻¹ CBNPs group, the reduction in the viability of BEAS-2B cells was relatively small (10%). Compared with the control cells, the 20 μg·mL⁻¹ CBNPs group showed more obvious cell migration and invasion at 24 h and 48 h, indicating that the exposure to CBNPs induced early malignant transformation of BEAS-2B cells (P<0.01). The circCCDC138 expression in C-BEAS-2B was upregulated in a time-dependent manner after exposure to CBNPs. Compared with the C-BEAS-2B cells, the C-BEAS-2B cells over-expressing circCCDC138 exhibited arrested S phase progression (36.9%) and apoptosis resistance (P<0.01), along with down regulation of p53 protein expression in the cells (P<0.01), while the C-BEAS-2B cells interfering with circCCDC138 showed the opposite results (P<0.01). Conclusion BEAS-2B cells exposed to CBNPs (20 μg·mL⁻¹) have significantly enhanced migration and invasion abilities, showing early malignant transformation characteristics. In addition, circCCDC138 is highly expressed in C-BEAS-2B cells with RNase R digestive resistance and increases in a time-dependent manner with CBNPs exposure. More importantly, circCCDC138 may promote the induction of malignant transformation of cells by inhibiting p53 protein expression.