Objective: To develop a clinical decision and prescription generation system (CDPGS) specifically for diarrhea in traditional Chinese medicine (TCM), utilizing a specialized large language model (LLM), Qwen-TCM-Dia, to standardize diagnostic processes and prescription generation. Methods: Two primary datasets were constructed: an evaluation benchmark and a fine-tuning dataset consisting of fundamental diarrhea knowledge, medical records, and chain-of-thought (CoT) reasoning datasets. After an initial evaluation of 16 open-source LLMs across inference time, accuracy, and output quality, Qwen2.5 was selected as the base model due to its superior overall performance. We then employed a two-stage low-rank adaptation (LoRA) fine-tuning strategy, integrating continued pre-training on domain-specific knowledge with instruction fine-tuning using CoT-enriched medical records. This approach was designed to embed the clinical logic (symptoms → pathogenesis → therapeutic principles → prescriptions) into the model’s reasoning capabilities. The resulting fine-tuned model, specialized for TCM diarrhea, was designated as Qwen-TCM-Dia. Model performance was evaluated for disease diagnosis and syndrome type differentiation using accuracy, precision, recall, and F1-score. Furthermore, the quality of the generated prescriptions was compared with that of established open-source TCM LLMs. Results: Qwen-TCM-Dia achieved peak performance compared to both the base Qwen2.5 model and five other open-source TCM LLMs. It achieved 97.05% accuracy and 91.48% F1-score in disease diagnosis, and 74.54% accuracy and 74.21% F1-score in syndrome type differentiation. Compared with existing open-source TCM LLMs (BianCang, HuangDi, LingDan, TCMLLM-PR, and ZhongJing), Qwen-TCM-Dia exhibited higher fidelity in reconstructing the “symptoms → pathogenesis → therapeutic principles → prescriptions” logic chain. It provided complete prescriptions, whereas other models often omitted dosages or generated mismatched prescriptions. Conclusion By integrating continued pre-training, CoT reasoning, and a two-stage fine-tuning strategy, this study establishes a CDPGS for diarrhea in TCM. The results demonstrate the synergistic effect of strengthening domain representation through pre-training and activating logical reasoning via CoT. This research not only provides critical technical support for the standardized diagnosis and treatment of diarrhea but also offers a scalable paradigm for the digital inheritance of expert TCM experience and the intelligent transformation of TCM.

Objective: To investigate the prevalence of undernutrition and its associated factors among left behind and non left behind primary and secondary school students in the Nutrition Improvement Program for Rural Compulsory Education Students (NIPRCES) areas of central and western China, so as to provide evidence for improving the nutritional status of children and adolescents. Methods: A survey was conducted among 123 782 students selected by random cluster sampling method in grades 3-9 from NIPRCES in central (Hebei, Shanxi, Heilongjiang, Jilin, Anhui, Jiangxi, Henan, Hunan, Hubei, and Hainan) and western (Gansu, Guangxi, Inner Mongolia, Ningxia, Tibet, Shaanxi, Guizhou, Sichuan, Xinjiang, the Xinjiang Production and Construction Corps, Yunnan, Qinghai, and Chongqing) China in 2023. Anthropometric measurements and questionnaires were used to assess nutritional and dietary status. The prevalence of undernutrition was compared between left behind and non left behind students by Chi square test, and associated factors were analyzed by three level Logistic mixed effects model. Results: The prevalence of undernutrition was 8.5% (4 326) in left behind students and 8.1% (5 905) in non left behind students. Three level Logistic mixed effect model analysis showed that whether left behind or non left behind, the undernutrition rates of primary and secondary students in western regions were higher than those of students in central regions [ OR (95% CI )=1.72(1.57-1.87),2.25(2.07- 2.43 )]; the undernutrition risk was lower for those whose fathers had a cultural level of high school or above [ OR (95% CI )=0.69(0.62-0.77),0.90(0.82-0.98)] or junior high school [ OR (95% CI )=0.72(0.66-0.79),0.92(0.85-0.99)] compared to those with primary school or below; picky eating or selective eating increased the risk of undernutrition [ OR (95% CI )=2.36(2.07-2.68),2.28(2.04-2.55)], and primary and secondary school students without nutritional content in health education classes had higher rates of undernutrition [ OR (95% CI )=1.12(1.03-1.23),1.09(1.01-1.17)](all P <0.05). Conclusion The prevalence of undernutrition is slightly higher in left behind primary and secondary students than in non left behind primary and secondary students in central and western NIPRCES areas, with variations across different characteristics.

Objective: To investigate the epidemiological characteristics, outcome patterns, and management strategies for blood donors with a positive direct antiglobulin test (DAT). Methods: A retrospective analysis was conducted on donation data from 808 386 donors from 2013 to 2023, focusing on those whose blood was discarded due to DAT positivity. Follow-up was performed on 125 DAT-positive donors, and 98 blood samples were collected. The samples were re-tested for DAT, DAT typing (IgG/C3d), and unexpected antibody screening using both the tube method and the microcolumn gel method. Results: Epidemiological characteristics: Retrospective data revealed 147 DAT-positive blood donors, yielding a positivity rate of 1/5 500. The DAT positivity rate using the tube method was 0.118‰ (49/416 893), lower than that of the microcolumn gel method at 0.25‰ (98/391 493). Among DAT-positive individuals, 44.2% (65/147) exhibited agglutination intensity<2+. Outcome analysis: The proportion of donors with positive DAT test results that converted to negative was 54.1% (53/98), with a conversion interval ranging from 8 to 117 months (mean 49.9 months). All donors in the negative conversion group had a previous DAT intensity<2+, whereas 95.6% (43/45) of the non-negative conversion group had intensity ≥2+ (P<0.001). Unexpected antibodies (anti-E, anti-M, etc.) were detected in 18 cases. Methodological differences: Review of results revealed 35 cases positive by both the DAT tube assay and microcolumn gel method. An additional 10 cases were positive by only one method: 5 were positive only by the tube assay, and 5 were positive only by the microcolumn gel method. Clinical validation: Among 14 DAT-positive donors who became negative and donated blood again, the clinical infusion efficacy of red blood cell products could be assessed in 10 cases, with 9 cases demonstrating effective infusion. Conclusion: Some DAT-positive blood donors may naturally convert to negative status, with the intensity of previous test results potentially serving as a key predictive factor for conversion. It is recommended to employ a combined approach of tube-based and microcolumn gel-based methods for retesting, concurrently screening for irregular antibodies. A tentative tiered management strategy is proposed: individuals with DAT intensity <2+ should be deferred for 12 months before retesting, while those with ≥2+ intensity should be permanently deferred.

Objective To explore the clinical characteristics and related prognostic factors of hypertriglyceridemia acute pancreatitis (HTG-AP). Methods A retrospective analysis was conducted on 350 patients with HTG-AP admitted to HanZhong Central Hospital from March 2019 to March 2024. All patients received conventional treatment. They were followed up for one year after treatment. The prognosis of the patients was statistically analyzed, and logistic regression was used to analyze the related factors of prognosis. Results HTG-AP patients had an acute onset, with clinical symptoms of sudden upper abdominal pain (329/350), nausea and vomiting (275/350), acidosis (101/350), and multiple organ failure (38/350). All patients had elevated serum TG. During the follow-up period, 123 cases had a poor prognosis (poor prognosis group), and 227 cases had a good prognosis (good prognosis group). Compared with the good prognosis group, the patients in the poor prognosis group had higher levels of TG, creatinine and C-reactive protein at admission, lower levels of serum calcium and albumin, and higher proportions of diabetes mellitus history and severe conditions (P<0.05). Logistic regression analysis found that the factors related to the prognosis of patients with HTG-AP were TG level, C-reactive protein level, albumin level, history of diabetes mellitus, and moderate to severe condition (P<0.05). Conclusion HTG-AP patients have an acute onset and have main clinical symptoms of sudden upper abdominal pain, nausea and vomiting. Some patients experience systemic inflammatory reactions such as acidosis and multiple organ failure, and they may also have significantly increased serum TG. TG, C-reactive protein, albumin, history of diabetes mellitus, and severe disease conditions are associated with the prognosis of HTG-AP patients.

OBJECTIVE To formulate Guidelines for the standardized implementation of pharmacist-managed clinics （ 2026 edition ） in response to the challenges faced by such clinics in China， including uneven development， large discrepancies in service specifications， insufficient patient awareness， and limited medical insurance coverage. METHODS Led by the Pharmaceutical Affairs Professional Committee of the Chinese Hospital Association， the Evidence-based Pharmacy Professional Committee of the Chinese Pharmaceutical Association， and the Hospital Pharmacy Professional Committee of the Cross-strait Medical and Health Exchange Association， a total of 19 domestic hospital pharmacy experts were organized. Through a systematic review of national policies and literature research， current practical experience was summarized. Consensus on the contents of the guidelines was reached after in-depth discussions. RESULTS &CONCLUSIONS The guidelines covered five sections： definition and connotation of pharmacist-managed clinics， establishment requirements， implementation and management， post competency， and practical research. Firstly， the definition and connotation included three operational forms of pharmacist-managed clinics （independent mode， physician-pharmacist joint mode， and online pharmacist-managed clinic mode） and classified service modes （specialty-specific， drug-specific， and disease-specific pharmacist-managed clinics）. The establishment requirements were further refined， covering system construction （pharmaceutical service management system， quality control and assessment mechanism）， personnel qualifications （professional credentials， continuing education and professional training， etc）， service recipients， as well as service venues and facilities. Subsequently， the implementation and management of pharmacist-managed clinics were proposed， involving service procedures， intervention measures， documentation and records， patient education and follow-up， humanistic care， as well as risk management and quality control. Finally， post competency encompassed the competency requirements for pharmacists providing services in pharmacist-managed clinics， as well as the suggestions on teaching methods； practical research encouraged the conduct of high-quality pharmaceutical practice in the setting of pharmacist-managed clinics. The guidelines provide valuable guidance for the standardized implementation of pharmacist-managed clinics in China in terms of establishment， management， teaching， and research， fill the guideline gap in this field， and can promote the high-quality development of pharmacist-managed clinics.

BACKGROUND:Various proteins,signaling pathways,and inflammatory mediators are involved in the pathophysiological process of osteoarthritis.The development of small molecule drugs targeting these proteins,signaling pathways,and inflammatory mediators can effectively delay the progression of osteoarthritis and ameliorate its clinical manifestations. OBJECTIVE:To review the research progress of small molecule drugs in the treatment of osteoarthritis based on the pathogenesis of osteoarthritis. METHODS:PubMed,CNKI,and WanFang databases were searched with English search terms"osteoarthritis,arthritis,osteoarthrosis,degenerative,arthritides,deformans,small molecule drugs,small molecule inhibitors,small molecule agents"and Chinese search terms"osteoarthritis,small molecule drugs,small molecule inhibitors."A total of 68 articles were included for review according to the inclusion and exclusion criteria. RESULTS AND CONCLUSION:(1)Currently,studies concerning the pathogenesis of osteoarthritis remain unclear.The occurrence and development of osteoarthritis are strongly associated with proteins,cytokines,and signal transduction pathways,so its therapeutic mechanism is relatively complex.Currently,targeting proteins,cytokines,and signal transduction pathways related to osteoarthritis with small molecule drugs has become a major research focus.(2)Small molecule drugs frequently possess visible intracellular or extracellular targets and efficacy,containing enhancing cartilage repair,resisting joint degradation,attenuating inflammation,and relieving pain.Other anti-osteoarthritis small molecule drugs have shown promise in promoting stem cell chondrogenic differentiation and cartilage matrix reconstruction.(3)At present,small molecule drugs targeting the pathophysiological process of osteoarthritis to delay the progression of osteoarthritis are still in the experimental stage,but most of these small molecule drugs have shown the expected results in the experimental process,and there are no relevant studies to illustrate the efficacy of small molecule drugs in the treatment of osteoarthritis.(4)Small molecule drugs for the treatment of osteoarthritis have reached the expected experimental results in the basic experimental stage.Numerous studies have exhibited that small molecule drugs can target the suppression of specific proteins,cytokines,and signal transduction pathways that cause osteoarthritis,so as to treat osteoarthritis.Nevertheless,its safety and effectiveness still need to be identified by further basic and clinical studies.This process needs to be investigated and studied by more scholars.(5)At present,many scholars in and outside China have made contributions to the treatment of osteoarthritis.Compared with traditional treatment methods,small molecule drugs reveal better efficacy and safety in the basic experimental stage,and it is expected to become an emerging method for the treatment of osteoarthritis in the future to rid patients of pain.

Objective:To investigate the feasibility of deep learning reconstruction (DLR) algorithm combined with a dual-low protocol (low radiation dose and low contrast medium dose) for thoracoabdominal aortic CT angiography (CTA).Methods:This cross-sectional study prospectively enrolled 56 patients suspected of aortic diseases who underwent aortic CTA at China-Japan Friendship Hospital from June 2023 to June 2024. All patients were randomly divided into two groups: Group A (28 cases) underwent CTA with a tube voltage of 100 kVp, automatic tube current modulation (noise index=10), and a contrast agent dose of 80 ml (flow rate 5 ml/s), with images reconstructed using the three-dimensional adaptive iterative dose reduction algorithm (AIDR). Group B (28 cases) underwent CTA with a tube voltage of 80 kVp, automatic tube current modulation (noise index=25), and a contrast agent dose of 40 ml (flow rate 3.5 ml/s), with images reconstructed using either the deep learning reconstruction algorithm-Advanced intelligent Clear-IQ Engine (AiCE subgroup) or the AIDR (AIDR subgroup). Two physicians evaluated the image quality of the three groups subjectively and objectively. Objective evaluation metrics included CT values, image noise (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) at the ascending aorta, carina-level descending aorta, celiac trunk-origin abdominal aorta, and common iliac bifurcation abdominal aorta carina. Subjective evaluation metrics included image quality and noise scores. Comparisons among the three datasets (Group A, AiCE subgroup, AIDR subgroup) were performed using one-way ANOVA or the Kruskal-Wallis test, with appropriate post-hoc tests for pairwise comparisons.Results:No significant differences were observed in CT values of the ascending aorta, descending aorta, and abdominal aorta between Group A and the AiCE subgroup or the AIDR subgroup ( P0.05). However, significant overall differences were found in SD, SNR, and CNR values for the ascending aorta, descending aorta, and abdominal aorta ( P0.05). Pairwise comparisons revealed that, except for no significant differences in SD, SNR, and CNR values of the ascending and descending aorta between Group A and the AiCE subgroup, and no significant difference in SNR values of the ascending and abdominal aorta between Group A and the AIDR subgroup ( P0.05), all other intergroup comparisons showed statistically significant differences ( P0.05). Significant overall differences were also observed in image quality and noise scores between Group A and the AiCE and AIDR subgroups ( P0.05). Except for no significant differences in image quality and noise scores between Group A and the AiCE subgroup ( P0.05), all other pairwise comparisons showed statistically significant differences ( P0.05). Conclusions:The application of deep learning reconstruction algorithm combined with a dual-low protocol in thoracoabdominal aortic CTA can reduce radiation dose and contrast agent dose while maintaining diagnostic image quality, demonstrating significant clinical value for widespread adoption.

Objective:To investigate the diagnosis, treatment, and prognosis of primary pancreatic signet-ring cell carcinoma (SRCC).Methods:A retrospective analysis was conducted on clinical data of 11 patients with pathologically confirmed SRCC treated at the Women and Children's Hospital Affiliated to Qingdao University and the Affiliated Hospital of Qingdao University between 2002 and 2024. The cohort included 10 male and 1 female patients, aged (65.6±9.2) years. Data on gender, age, clinical manifestations, biochemical markers, tumor biomarkers, surgical approaches, postoperative pathology, adjuvant the-rapy, and treatment outcomes were recorded. Postoperative survival was assessed via outpatient records and telephone follow-ups.Results:Among the 11 patients, all 10 male patients had a long-term smoking his-tory. Initial symptoms included epigastric pain (5 cases), jaundice (2 cases), postprandial upper abdominal discomfort (3 cases), and persistent hyperglycemia (1 case). Elevated total bilirubin with increased alanine transaminase and aspartate transaminase was observed in 4 cases, while 7 cases had normal liver function. Tumor biomarker profiles showed elevated carcinoembryonic antigen (CEA) alone in 2 cases, elevated carbohydrate antigen 19-9(CA 19-9) alone in 6 cases, concurrent elevation of CEA and CA19-9 in 2 cases, and normal tumor markers in 1 case. Tumor locations included the pancreatic head (8 cases) and pancreatic body/tail (3 cases). All patients underwent radical resection without major perioperative complications. Immunohistochemistry revealed perineural invasion (+ ) in 10 cases and Ki-67 ≥ 50% in 9 cases. Six patients received postoperative adjuvant therapy. The median disease-free survival was 14 months, and the median overall survival was 18 months.Conclusion:SRCC lacks specific clinical manifestations and carries a poor prognosis. Radical surgical resection remains the cornerstone of treatment, while adjuvant therapy may improve survival outcomes.

Objectives:To explore the efficacy of robotic-assisted retroperitoneal benign tumor resection and to analyze its learning curve.Methods:This is a retrospective case series study. The data of patients who underwent robotic-assisted retroperitoneal benign tumor resection from August 2015 to February 2023 at the Department of Retroperitoneal Tumor Surgery was analyzed retrospectively. There were 24 males and 45 females, with an age of (46.3±10.6) years (range: 19 to 76 years). The perioperative data, postoperative pathological results, and follow-up data were recorded. The cumulative sum (CUSUM) method was used to analyze the robotic system setup time and operative time to plot the learning curve. A linear regression model was applied to determine the best-fit curve, selecting the model with the highest R2 value. Based on the vertex of the learning curve for surgical time, the patients were divided into a learning group and a mastery group. The general data and perioperative conditions of the two groups were compared. Independent sample t-tests, Mann-Whitney U tests, and χ2 tests were used for comparisons. Results:All 69 patients successfully completed the surgery without intraoperative complications. The diameter of tumors was (49.7±18.6) mm (range: 16 to 131 mm). The setup time for the robotic surgical system was (35.3±9.8) minutes (range: 20 to 61 minutes); the surgical time was (169.2±36.5) minutes (range: 70 to 305 minutes); intraoperative blood loss ( M(IQR)) was 10.0 (15.0) ml (range: 2.0 to 200.0 ml). The tumors in 32 patients (46.4%) were adherent to major blood vessels. All patients were discharged without complications. The follow-up period lasted until February 2024, and no patients required reoperation, readmission, or died due to retroperitoneal benign tumors. There were no severe long-term complications, and no radiological evidence of tumor recurrence was found. The best-fit equation for the learning curve based on surgical time was CUSUM=0.010X3-1.648X2-68.573X-61.091, and the best-fit equation for the learning curve based on robotic system setup time was CUSUM=0.0018X3-0.285X2+10.460X+57.541 (where X represents the number of surgeries). The R2 values of 2 learning curve models were 0.953 and 0.957, respectively, and the fit model tests had P<0.05. The inflection point of the learning curve based on surgical time was the 28th case, which is considered the minimum number of surgeries required to achieve proficiency in robotic-assisted retroperitoneal benign tumor resection. Based on this, the patients were divided into a learning group (cases 1 to 28) and a mastery group (cases 29 to 69). The surgical time for the learning group was significantly longer than that of the mastery group ((194.7±30.0) minutes vs. (151.9±31.4) minutes, t=4.126, P<0.01). No statistically significant differences were found for other parameters (all P>0.05). Conclusions:Robotic-assisted retroperitoneal benign tumor resection is feasible. The minimum number of surgeries required to achieve proficiency in overcoming the learning curve is about 28 cases.

Objective:To investigate the expression of Artemin (ARTN) in malignant peripheral nerve sheath tumor (MPNST), its effect on the malignant behavior of MPNST cells, and its signaling pathway.Methods:Fifty-one MPNST paraffin embedded tissues through surgical resection at Tianjin Medical University Cancer Hospital from January 1995 to November 2011 were collected, the expression of the ARTN protein was detected by immunohistochemistry, and the relationship between the ARTN protein expression and the clinical pathological characteristics and prognosis were analyzed. In human MPNST cell lines ST-8814 (NF-1) and STS26T(sporadic), ARTN overexpression and low expression cell lines were constructed by transfecting ARTN overexpression plasmids and ARTN small interfering RNA (siRNA), respectively. The expression of ARTN mRNA was detected by real time quantitative polymerase chain reaction (RT-qPCR), the expression of the ARTN protein and Phosphoinositide 3-kinase(PI3K)/Akt signaling pathway related proteins were detected by Western blot. CCK-8 assay was used to detect cell proliferation ability, and cell invasion assay was used to detect cell invasion ability. The pathway proteins that interacted with ARTN were searched in the STRING database, and the functional pathways were clarified by Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. The PI3K/Akt pathway specific inhibitor LY294002 was used to block the PI3K/Akt pathway of ST-8814 and STS26T cells to observe the changes in cell proliferation and invasion.Results:Among the 51 MPNST tissue specimens, 22 cases showed a high expression of the ARTN protein and 29 cases showed a low expression of the protein. Higher expressions of the ARTN protein was associated with larger tumor diameters and disease progression (recurrence or metastasis) (both P＜0.05). The median disease-free survival (DFS) of patients with a low expression of the ARTN protein was 26.2 months, and the median overall survival (OS) was 66.9 months. The median DFS and median OS of patients with a high expression of the ARTN protein were 10.7 months and 53.8 months, respectively. The log rank test results showed that the progression free survival rate of patients with a high expression of the ARTN protein was worse than that of patients with a low expression ( P=0.027), but the difference in overall survival rate between the two groups was not statistically significant ( P=0.790), which was also confirmed by Cox regression analysis. The CCK-8 assay results showed that after 48 hours of transfection, the absorbance ( A) values of ST-8814 and STS26T cells in the ARTN overexpression group were 1.35±0.01 and 1.10±0.02, respectively, which were higher than those in the empty plasmid control group (1.05±0.01 and 0.78±0.01, both P＜0.01), while the A values of ST-8814 and STS26T cells in the ARTN siRNA group were 0.35±0.01 and 0.61±0.01, respectively, which were lower than those in the control siRNA group (0.74±0.01 and 1.10±0.04, both P＜0.01). The results of cell invasion assay showed that the number of transmembrane cells in ST-8814 and STS26T cells overexpressing ARTN was (29.67±2.08) and (31.67±2.08), respectively, which were higher than those in the empty plasmid control group [(20.00±1.00) and (24.33±1.15), both P＜0.01]. The number of transmembrane cells in ST-8814 and STS26T cells in the ARTN siRNA group were (14.00±2.00) and (19.33±1.53), respectively, which were lower than those in the control siRNA group [(19.33±2.52) and (23.33±0.58), both P＜0.05].The KEGG results showed that ARTN is associated with multiple tumor signaling pathways, especially the PI3K/Akt signaling pathway. Western blot results showed that overexpression of ARTN upregulated the expression of p-PI3K and p-Akt proteins in ST-8814 and STS26T cells (both P＜0.01).After knocking down ARTN expression, the expression of p-PI3K and p-Akt proteins was significantly down regulated (both P＜0.01). LY294002 could significantly inhibit the effect of ARTN overexpression on ST-8814 and STS26T cells after blocking the PI3K/Akt pathway. The A values of ST-8814 and STS26T cells in the ARTN overexpression+LY294002 group were 1.09±0.06 and 0.82±0.01, respectively, which were lower than those in the ARTN overexpression group (1.50±0.01 and 1.29±0.01, respectively, both P＜0.01). The numbers of transmembrane cells in the cell invasion assay were 16.67±3.21 and 19.67±2.31, respectively, which were also lower than those in the ARTN overexpression group (29.67±2.08 and 31.67±2.08, respectively, both P＜0.01). Conclusions:In MPNST, a high expression of the ARTN protein was associated with larger tumor size, disease progression, and worse DFS. ARTN promotes the proliferation and invasion of MPNST cells through the PI3K/Akt signaling pathway.