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 systematically review medication-related risk factors for falls in older adults， to provide references for ensuring medication safety among older adults. METHODS A systematic search was conducted in PubMed， Embase， Web of Science， and CNKI for relevant literature published from database inception to November 1， 2025. Relevant studies on medication-related falls in older adults， both domestic and international， were included. Drug factors influencing falls in older adults were summarized and analyzed. RESULTS A total of 22 studies were included. Four major classes of fall-risk-increasing drugs were identified： psychotropic medications [12 studies， odds ratio （OR） range 1.500-5.790]， cardiovascular system drugs （5 studies， OR range 1.236-4.784）， analgesics （3 studies， OR range 1.500-4.490）， and hypoglycemic agents （3 studies， OR range 2.070-2.751）. Additionally， anticholinergic burden （1 study， OR was 2.610） and polypharmacy （7 studies， OR range 2.902-25.897 for the use of ≥4 medications） were identified as significant risk factors for falls. CONCLUSIONS Falls in older adults are significantly associated with psychotropic medications， cardiovascular system drugs， analgesics， and hypoglycemic agents， among which psychotropic medications pose the highest risk. Anticholinergic burden and polypharmacy are also important risk factors. In clinical practice， interventions should be implemented through deprescribing and risk monitoring to effectively reduce the risk of falls in older adults.

Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.

Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.

Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.

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 evaluate the efficacy of corticosteroids in male children with Duchenne muscular dystrophy (DMD), and provide evidence for the rational clinical use of medication.Methods:This was a multicenter medical record series study which conducted from January 15 th to March 14 th, 2025. A total of 53 male children with DMD admitted to the Department of Rehabilitation of Children′s Hospital, Zhejiang University School of Medicine, Children′s Hospital of Chongqing Medical University and Affiliated Children′s Hospital of Soochow University from 2020 to 2024 were enrolled. Clinical data, corticosteroid usage, and the follow-up data were collected. The North star ambulatory assessment (NSAA) was used as the primary efficacy indicator. Generalized estimating equations (GEE) exchangeable working matrices were used for longitudinal analysis, and the least squares mean were used to compare the change trend of the efficacy evaluation index across different medication durations. Results:The age at the initiation of corticosteroid treatment was (6.3±1.9) years. The follow-up duration was 1.2 (0.9, 2.2) years. After treatment, the raw scores and linear scores of NSAA were both significantly higher than those before treatment ((22±7) vs. (19±5) points, (60±16) vs. (53±8) points; t=3.98, 3.69; both P<0.001). The 10 meter running time and time rising from floor were both shorter than those before treatment (6 (4, 8) vs. 7 (6, 9) s, 5 (3, 6) vs. 6 (5, 9) s; Z=2.62, 3.47; both P<0.01). GEE model analysis revealed all nonlinear correlation between motor function (NSAA linear score, 10-meter running velocity, and rising from floor velocity) and the duration of corticosteroid treatment (all P<0.05). Least squares mean comparison all showed that the medication effect first increased and then decreased with duration, reaching the peak at 1.1-2.0 years after treatment (all P<0.05). Conclusions:Corticosteroids can improve the motor function in male children with DMD, with the maximum treatment effect occurring 1 to 2 years after the initiation of treatment. It is necessary to comprehensively leverage time-varying efficacy of corticosteroids to optimize individualized treatment regimens for maximal motor function benefits in children with DMD.

Objective:To evaluate the diagnostic value of the vesical imaging-reporting and data system（VI-RADS）for determining muscle invasion in variant histology urothelial carcinoma（VUC）of the bladder.Methods:A retrospective analysis was performed on the pathological and imaging data of 518 bladder cancer patients admitted to Jiangsu Province Hospital between January 2013 and January 2023. Patients were stratified into pure urothelial carcinoma（PUC）group（ n = 457）and variant urothelial carcinoma（VUC）group（ n = 61）based on the presence of histological variants. In the PUC group，there were 390 males（85.3%）and 67 females（14.7%），with a mean age of（66.9 ± 11.2）years. Tumor characteristics included maximum diameter ≥ 30 mm in 149（32.6%），< 30 mm in 308（67.4%），multiple tumors in 147（32.2%），solitary in 310（67.8%），pedunculated morphology in 143（31.3%）and non-pedunculated in 314（68.7%）. Histological grading identified high-grade tumors in 319 patients（69.8%）and low-grade tumors in 138（30.2%）. Pathological stage distribution included 191 of T a（41.8%），127 of T 1（27.8%），76 of T 2（16.6%），47 of T 3（10.3%），and 16 of T 4（3.5%）patients. The VUC group included 61 patients，comprising 51 males（83.6%）and 10 females（16.4%），with a mean age of（65.8 ± 11.4）years. Tumor characteristics were maximum diameter ≥ 30 mm in 38（62.3%），< 30 mm in 23（37.7%），multiple tumors in 16（26.2%），solitary in 45（73.8%），pedunculated morphology in 11（18.0%）and non-pedunculated in 50（82.0%）. Histological grading identified high-grade tumors in 59 patients（96.7%）and low-grade tumors in 2（3.3%）. Pathological stage distribution included 3 of T a（4.9%），15 of T 1（24.6%），15 of T 2（24.6%），20 of T 3（32.8%），and 8 of T 4（13.1%）patients. No statistically significant differences were found between the two groups in gender，age，or tumor multiplicity（ P > 0.05）. Statistically significant differences were found in pathological grade，pathological stage，maximum tumor diameter，and pedunculated morphology（ P < 0.05）. Furthermore，an external validation cohort of 278 bladder cancer patients treated between February 2023 and February 2024 from multiple centers（Jiangsu Provincial People’s Hospital，The First Affiliated Hospital of Zhengzhou University，Union Hospital Tongji Medical College Huazhong University of Science and Technology，Jiangsu Provincial Hospital of Traditional Chinese Medicine，Suzhou Municipal Hospital，Huaian First People’s Hospital，Yixing People’s Hospital）was retrospectively analyzed to externally validate the performance of VI-RADS scoring in predicting muscle invasion of VUC. This cohort included a PUC subgroup of 241 patients，comprising 196 males（81.3%）and 45 females（18.7%），with a mean age of（68.0 ± 10.7）years. Tumor characteristics were maximum diameter ≥ 30 mm in 85（35.3%），< 30 mm in 156（64.7%），multiple tumors in 65（27.0%），solitary in 176（73.0%），pedunculated morphology in 76（31.5%）and non-pedunculated in 165（68.5%）. Histological grading identified high-grade tumors in 175 patients（72.6%）and low-grade tumors in 66（27.4%）. Pathological staging comprised 107 patients of T a（44.4%），78 of T 1（32.4%），22 of T 2（9.1%），22 of T 3（9.1%），and 12 of T 4（5.0%）. The VUC subgroup consisted of 37 patients，comprising 29 males（78.4%）and 8 females（21.6%），with a mean age of（70.5 ± 9.5）years. Tumor characteristics were maximum diameter ≥ 30 mm in 23（62.2%），< 30 mm in 14（37.8%），multiple tumors in 9（24.3%），solitary in 28（75.7%），pedunculated morphology in 7（18.9%）and non-pedunculated in 30（81.1%）. Histological grading identified high-grade tumors in 36 patients（97.3%）and low-grade tumors in 1（2.7%）. Pathological staging comprised 1 patient of T a（2.7%），9 of T 1（24.3%），7 of T 2（18.9%），19 of T 3（51.4%），and 1 of T 4（2.7%）. In this validation cohort，no significant differences were found in gender，age，tumor multiplicity，or pedunculated morphology between the PUC and VUC subgroups（ P > 0.05）. Significant differences were observed in pathological grade，pathological stage，and maximum tumor diameter（ P < 0.05）. Three radiologists independently reviewed and scored the multiparametric MRI（mp-MRI）in a blinded manner. Inter-reader agreement was assessed using the weighted kappa statistic. Differences in variables between the two groups were compared using t-tests，chi-square tests，or Fisher’s exact test. The diagnostic performance of VI-RADS for muscle invasion in VUC and PUC was comprehensively evaluated using receiver operating characteristic（ROC）curves，the area under the curve（AUC），and cut-off values determined by the Youden’s index. The DeLong test was used to assess whether the diagnostic performance of VI-RADS differed between VUC and PUC. Results:In the retrospective single-center cohort，the AUC of VI-RADS for assessing muscle invasion was 0.895（95% CI 0.864?0.922）in the PUC group，with a cut-off value of > 3，and the AUC was 0.896（95% CI 0.791-0.960）in the VUC group，with a cut-off value of > 3. The difference between the two groups was not statistically significant（ P = 0.986）. Using a VI-RADS score > 3 as the cut-off value，the accuracy，sensitivity，specificity，positive predictive value（PPV），and negative predictive value（NPV）for diagnosing muscle invasion status in the PUC group were 85.8%（392/457），70.5%（98/139），92.5%（294/318），80.3%（98/122），and 87.8%（294/335），respectively. The corresponding values for the VUC group were 82.0%（50/61），76.7%（33/43），94.4%（17/18），97.1%（33/34），and 63.0%（17/27）.In the retrospective multicenter cohort，the AUC of VI-RADS for assessing muscle invasion was 0.891（95% CI 0.845?0.927）in the PUC group，with a cut-off value of > 2，and the AUC was 0.898（95% CI 0.754?0.973）in the VUC group，with a cut-off value of > 3. The difference between the two groups was not statistically significant（ P = 0.897）. Using a VI-RADS score > 3 as the cut-off value，the accuracy，sensitivity，specificity，PPV，and NPV for diagnosing muscle invasion status in the PUC group were 85.9%（207/241），58.9%（33/56），94.1%（174/185），75.0%（33/44），and 88.3%（174/197），respectively. The corresponding values for the VUC group were 81.1%（30/37），77.8%（21/27），90.0%（9/10），95.5%（21/22），and 60.0%（9/15）.In the single-center cohort，the Kappa values for inter-reader agreement in assessing muscle invasion status using VI-RADS were 0.881（ P < 0.01）for the PUC group and 0.941（ P < 0.01）for the VUC group among the three readers. In the multicenter cohort，the Kappa values were 0.858（ P < 0.01）for the PUC group and 0.838（ P < 0.01）for the VUC group. Conclusions:VI-RADS demonstrates similarly high diagnostic performance for assessing muscle invasion in both PUC and VUC，which is applicable for diagnosing muscle invasion status in VUC，and shows good inter-reader agreement.

Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.

Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.