To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

The prescription of Qidong Yixin oral liquid is derived from the experience of national medical master Ren Jixue in treating viral myocarditis （VMC）. It has the functions of tonifying Qi， nourishing the heart，calming the mind， and relieving palpitations. It is used to treat VMC and angina pectoris of coronary heart disease caused by deficiency of both Qi and Yin. However，the understanding of its efficacy evidence， advantageous aspects， dosage and administration， and medication safety remains insufficient in clinical practice. Therefore，the development of the Expert Consensus on the Clinical Application of Qidong Yixin Oral Liquid （hereinafter referred to as consensus） was initiated. Consensus strictly followed the process and methods of the expert consensus on the clinical application of Chinese patent medicines of the China Association of Chinese Medicine，successively completing multiple tasks such as the consensus project initiation，determination of clinical problems，evidence search and evaluation，formation of recommendation opinions and consensus suggestions，solicitation of opinions，peer review， submission for review and release， and so on. Consensus formed a total of 10 recommendation opinions and 12 consensus suggestions，clarifying the clinical positioning，efficacy advantages，syndrome differentiation，dosage and administration，combination therapy，timing of medication，adverse reactions，contraindications， and precautions of Qidong Yixin oral liquid，indicating that it has good clinical advantages and safety in the treatment of VMC and angina pectoris of coronary heart disease，providing norms and references for physicians to safely and rationally apply Qidong Yixin oral liquid. Consensus was reviewed and approved for release by the Standardization Office of the China Association of Chinese Medicine on December 23， 2024. Standard number：GSCACM-376-2024.

ObjectiveTo investigate the correlation between neutrophil-to-lymphocyte ratio （NLR）， platelet-to-lymphocyte ratio （PLR）， systemic immune-inflammation index （SII） and the severity of intrauterine adhesions （IUA）. MethodsThe retrospective study included 380 patients who underwent transcervical resection of adhesions （TCRA） from December 2019 to March 2025. Based on the American Fertility Society （AFS） classification， patients were divided into mild （n=61）， moderate （n=225）， and severe （n=94） groups. NLR， PLR， and SII were calculated from preoperative blood tests. Statistical analyses included Kruskal-Wallis test and ordinal Logistic regression. ResultsNLR， PLR， and SII were significantly higher in the severe IUA group compared to the mild group （P<0.05）， with SII showing the strongest predictive ability （OR=1.004， P=0.001）. The number of intrauterine procedures was an independent risk factor （OR=1.27/level， P=0.016）. The predictive model ［Logit（P）=-0.676+0.241×operation times+0.004×SII］ effectively identified severe IUA cases. ConclusionInflammatory markers （particularly SII） are correlated with IUA severity and may serve as non-invasive tools for clinical assessment.

ObjectiveTo analyze the characteristics of 150 patients with spinal cord injury complicated with spasticity. MethodsA cross-sectional survey was conducted on 150 patients with spinal cord injury accompanied by spasticity from September, 2019 to December, 2024. Their age, gender, cause of injury, injury site, severity of injury, spasticity severity and other indicators were recorded. The relationships between different characteristics were analyzed, and a correlation analysis of disease duration, spasticity grade, injury level, injury severity and age were conducted. ResultsThere was no significant difference in age distribution between patients with tetraplegia and paraplegia (Z = 0.806, P = 0.420). The proportions of trauma (χ² = 3.982, P = 0.046) and tetraplegia (χ² = 10.559, P = 0.010) were higher in males than in females. Trauma was the main cause of injury in both tetraplegia and paraplegia patients; the proportion of tetraplegia was higher than paraplegia in trauma patients, while paraplegia was higher than tetraplegia in non-trauma patients (χ² = 11.885, P < 0.001). Patients with tetraplegia was dominated by incomplete injury, whereas patients with paraplegia was dominated by complete injury (χ² = 10.885, P = 0.012). Grade A injury was predominant in trauma patients (P = 0.003). Spasticity grade showed a very weak positive correlation with disease duration (r = 0.175, P = 0.032) and age (r = 0.168, P = 0.040). Injury severity showed a very weak positive correlation with age (r = 0.183, P = 0.025). ConclusionCharacteristics of patients with spinal cord injury complicated with spasticity is different with gender, cause of injury, injury level, injury severity.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

OBJECTIVE To investigate the clinical characteristics of euglycemic diabetic ketoacidosis （euDKA） induced by empagliflozin， and provide references for safe medication. METHODS Case reports of euDKA induced by empagliflozin were retrieved and analyzed from PubMed， Web of Science， CNKI， and Wanfang Data. The Naranjo’s scale was adopted to assess the causal relationship between empagliflozin and euDKA. RESULTS A total of 29 patients were enrolled， including 16 males and 13 females，with a median age of 58 years. All patients were diagnosed with type 2 diabetes mellitus； 22 patients had at least one comorbidity. The median time to euDKA onset was 60 days after administration， and 7 cases occurred within 2 weeks of treatment. Perioperative periods，fasting，and low-carbohydrate or ketogenic diets were the main predisposing factors. Common presentations included nausea，vomiting， fatigue， tachypnea，and tachycardia. The causal relationship between empagliflozin and euDKA was assessed as “probable” in all cases. According to adverse reaction severity grading， 13 cases were grade 3 （severe） and 16 cases were grade 4 （life-threatening）. All patients discontinued empagliflozin and recovered after corresponding treatment. CONCLUSIONS euDKA is a serious adverse reaction to empagliflozin， which mostly occurs early in treatment. Perioperative periods， fasting， and ketogenic diets are prone to induce euDKA. Elderly patients and those with comorbidities are at higher risk. Risk assessment should be conducted before clinical administration； blood ketones and acid-base monitoring should be strengthened in the early medication period； withhold the drug before elective surgery， avoid prolonged fasting；upon diagnosis， discontinue empagliflozin and initiate intravenous insulin， provide fluid resuscitation promptly， and use other treatments to improve patient prognosis.

ObjectiveTo investigate the protective effect of Qiju Dihuang Wan on diabetic retinopathy （DR） and its regulatory mechanism on the NOD-like receptor protein 3/Cysteinyl aspartate-specific proteinase-1/Gasdermin D （NLRP3/Caspase-1/GSDMD） signaling pathway. MethodsHuman retinal microvascular endothelial cells （HRMEC） were divided into the blank group， model group， and Qiju Dihuang Wan low- and high-dose groups. Except for the blank group， all groups were induced with 40 mmol·L^-1 high glucose， and the treatment groups were supplemented with 6% and 12% Qiju Dihuang Wan-containing serum， respectively， based on the induction. After 24 h of culture， the levels of interleukin （IL）-1β and IL-18 were measured by enzyme-linked immunosorbent assay （ELISA）， pyroptosis-related protein expression was detected by immunofluorescence and Western blot， and the mRNA levels of NLRP3/Caspase-1/GSDMD signaling pathway-related molecules were determined by real-time polymerase chain reaction （Real-time PCR）. The mice were randomly divided into the blank group， model group， Qiju Dihuang Wan low-， medium-， and high-dose groups （11， 22， 44 g·kg^-1·d^-1）， and calcium dobesilate group （0.13 g·kg^-1·d^-1）. Except for the blank group， all groups were intraperitoneally injected with streptozotocin to establish the DR model. After successful modeling， the treatment groups received corresponding doses of Qiju Dihuang Wan crude drug or calcium dobesilate suspension by gavage once daily， while the blank group and model group received an equal volume of normal saline， for 8 consecutive weeks. Fundus changes were examined by optical coherence tomography， optical coherence tomography angiography， and fundus fluorescein angiography. Retinal pathological morphology was observed by hematoxylin-eosin staining. Real-time PCR was used to detect the mRNA levels of NLRP3， Caspase‑1， GSDMD， IL‑1β， and IL‑18 in retinal tissue， and Western blot was used to detect the protein expression of NLRP3， ASC， cleaved Caspase‑1， and GSDMD‑N. ResultsCell experiments showed that compared with the blank group， the model group showed significantly decreased HRMEC viability （P<0.01）， and significantly increased levels of IL-1β， IL-18， as well as increased protein expression of NLRP3， cleaved Caspase-1， and GSDMD-N （P<0.01）. Compared with the model group， the above indicators were significantly reduced in the high-dose Qiju Dihuang Wan groups （P<0.05， P<0.01）. Animal experiments showed that compared with the blank group， the model group had elevated blood glucose （P<0.01）， decreased retinal thickness and vascular density （P<0.01）， up‑regulated mRNA expression of NLRP3， Caspase‑1， GSDMD， IL‑1β and IL‑18 in retinal tissue （P<0.01）， and up‑regulated protein expression of NLRP3， ASC， cleaved Caspase‑1 and GSDMD‑N （P<0.01）. Compared with the model group， the Qiju Dihuang Wan medium- and high‑dose groups showed decreased blood glucose （P<0.01）， increased retinal thickness and vascular density （P<0.01）， alleviated retinal pathological damage， and down‑regulated mRNA expression of NLRP3， Caspase‑1， GSDMD， IL‑1β， IL‑18， as well as protein expression of NLRP3， ASC， cleaved Caspase‑1， and GSDMD‑N （P<0.05， P<0.01）. ConclusionQiju Dihuang Wan may exert protective effects against diabetic retinopathy by inhibiting the activation of the NLRP3/Caspase-1/GSDMD signaling pathway and alleviating high glucose-induced retinal pyroptosis.

ObjectiveTo investigate the protective effect of Qiju Dihuang Wan on diabetic retinopathy （DR） and its regulatory mechanism on the NOD-like receptor protein 3/Cysteinyl aspartate-specific proteinase-1/Gasdermin D （NLRP3/Caspase-1/GSDMD） signaling pathway. MethodsHuman retinal microvascular endothelial cells （HRMEC） were divided into the blank group， model group， and Qiju Dihuang Wan low- and high-dose groups. Except for the blank group， all groups were induced with 40 mmol·L^-1 high glucose， and the treatment groups were supplemented with 6% and 12% Qiju Dihuang Wan-containing serum， respectively， based on the induction. After 24 h of culture， the levels of interleukin （IL）-1β and IL-18 were measured by enzyme-linked immunosorbent assay （ELISA）， pyroptosis-related protein expression was detected by immunofluorescence and Western blot， and the mRNA levels of NLRP3/Caspase-1/GSDMD signaling pathway-related molecules were determined by real-time polymerase chain reaction （Real-time PCR）. The mice were randomly divided into the blank group， model group， Qiju Dihuang Wan low-， medium-， and high-dose groups （11， 22， 44 g·kg^-1·d^-1）， and calcium dobesilate group （0.13 g·kg^-1·d^-1）. Except for the blank group， all groups were intraperitoneally injected with streptozotocin to establish the DR model. After successful modeling， the treatment groups received corresponding doses of Qiju Dihuang Wan crude drug or calcium dobesilate suspension by gavage once daily， while the blank group and model group received an equal volume of normal saline， for 8 consecutive weeks. Fundus changes were examined by optical coherence tomography， optical coherence tomography angiography， and fundus fluorescein angiography. Retinal pathological morphology was observed by hematoxylin-eosin staining. Real-time PCR was used to detect the mRNA levels of NLRP3， Caspase‑1， GSDMD， IL‑1β， and IL‑18 in retinal tissue， and Western blot was used to detect the protein expression of NLRP3， ASC， cleaved Caspase‑1， and GSDMD‑N. ResultsCell experiments showed that compared with the blank group， the model group showed significantly decreased HRMEC viability （P<0.01）， and significantly increased levels of IL-1β， IL-18， as well as increased protein expression of NLRP3， cleaved Caspase-1， and GSDMD-N （P<0.01）. Compared with the model group， the above indicators were significantly reduced in the high-dose Qiju Dihuang Wan groups （P<0.05， P<0.01）. Animal experiments showed that compared with the blank group， the model group had elevated blood glucose （P<0.01）， decreased retinal thickness and vascular density （P<0.01）， up‑regulated mRNA expression of NLRP3， Caspase‑1， GSDMD， IL‑1β and IL‑18 in retinal tissue （P<0.01）， and up‑regulated protein expression of NLRP3， ASC， cleaved Caspase‑1 and GSDMD‑N （P<0.01）. Compared with the model group， the Qiju Dihuang Wan medium- and high‑dose groups showed decreased blood glucose （P<0.01）， increased retinal thickness and vascular density （P<0.01）， alleviated retinal pathological damage， and down‑regulated mRNA expression of NLRP3， Caspase‑1， GSDMD， IL‑1β， IL‑18， as well as protein expression of NLRP3， ASC， cleaved Caspase‑1， and GSDMD‑N （P<0.05， P<0.01）. ConclusionQiju Dihuang Wan may exert protective effects against diabetic retinopathy by inhibiting the activation of the NLRP3/Caspase-1/GSDMD signaling pathway and alleviating high glucose-induced retinal pyroptosis.

BackgroundNon-suicidal self-injury （NSSI） behaviors are prevalent among adolescents， significantly affecting their physical and mental well-being. Understanding the risk factors associated with adolescent NSSI is crucial for prevention. Previous studies have identified mobile phone dependence as a risk factor for NSSI in adolescents. However， as a key form of mobile phone dependence， the evidence regarding the impact of mobile phone social media dependence on adolescent NSSI behavior remains insufficient. ObjectiveTo explore the impact of mobile phone social media dependence and its associated factors on adolescent NSSI behavior， so as to provide references for intervention strategies targeting NSSI in adolescents. MethodsA total of 100 adolescents diagnosed with NSSI according to the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5）， and receiving treatment at Tongde Hospital of Zhejiang Province from January 2022 to December 2023 were included in the study group. Concurrently， 100 age- and sex-matched students from Hangzhou were recruited as the control group. Assessments were conducted using Ottawa Self-injury Inventory（OSI） Function Subscale and Addiction Features Subscale， Adolescents Self-Harm Scale（ASHS）， and Mobile Phone Social Media Dependence Questionnaire. Multiple linear regression was used to analyze the factors influencing NSSI behaviors. ResultsThe research group had a total of 99 patients （99.00%） who completed the study， while the control group consisted of 97 （97.00%） adolescents who finished this research.The study group had statistically significantly higher total scores on the Mobile Phone Social Media Dependence Questionnaire， as well as higher scores on the conflict and withdrawal dimensions， compared with control group（t=-3.061， -2.874， -2.368， P<0.05 or 0.01）. The study group also scored significantly higher on the OSI Function Subscale for internal emotion regulation， social influence， external emotion regulation， and sensation-seeking factors， as well as on the OSI Addiction Features Subscale scores， compared to the control group（t=-22.249， -8.854， -17.968， -10.591， -20.157， P<0.01）. OSI Function Subscale scores were positively correlated with Mobile Phone Social Media Dependence Questionnaire scores （r=0.321， P<0.01）， and OSI Addiction Features Subscale scores were positively correlated with Mobile Phone Social Media Dependence Questionnaire scores （r=0.282， P<0.01）. ASHS scores were positively correlated with Mobile Phone Social Media Dependence Questionnaire scores （r=0.145， P<0.05）. Multiple linear regression analysis showed that compulsivity （β=0.416， P<0.01） and conflict （β=0.256， P<0.05） were significant predictors for adolescent NSSI behaviors. ConclusionAdolescent NSSI behaviors are associated with mobile phone social media dependence. The compulsivity and conflict dimension of mobile phone social media dependence are influencing factors for adolescent NSSI behaviors. The higher level of the compulsivity and conflict are associated with an increased risk of the NSSI behaviors in adolescents. ［Funde by Zhejiang Medical and Health Science and Technology Plan Project in 2022 （number， 2022KY704］