To standardize the clinical application of oral Chinese patent medicines （CPMs）， and address the safety issues arising from their dosage form characteristics， irrational clinical use， and the lack of targeted pharmacovigilance systems， the China Association of Chinese Medicine organized the formulation and release of Pharmacovigilance Guidelines for Clinical Application of Oral Chinese Patent Medicines， aiming to inform the safe clinical use of oral CPMs and related pharmacovigilance work. According to the principles of GB/T1.1—2020 and the Drug Administration Law of the People's Republic of China （2019 revision）， the Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences， led a drafting group comprising 18 institutions. After multiple rounds of expert interviews， literature retrieval， evidence screening， and extensive solicitation of opinions， the Guidelines were registered internationally. Systematic standardization focused on safety monitoring， risk identification， assessment， control， and other aspects. The Guidelines clarified the characteristics of oral CPMs in terms of safety monitoring， known risks， and potential risks， compared to non-oral CPMs. Then， risk control measures were proposed， including medication in special populations and irrational medication. As a special guideline for pharmacovigilance in the clinical application of oral CPMs， the Guidelines systematically construct a technical system in line with the characteristics of traditional Chinese medicine （TCM）， which is essential for improving the clinical safety management of oral CPMs and provides an important reference for medical institutions， pharmaceutical manufacturers， and regulatory authorities.

To standardize the clinical application of oral Chinese patent medicines （CPMs）， and address the safety issues arising from their dosage form characteristics， irrational clinical use， and the lack of targeted pharmacovigilance systems， the China Association of Chinese Medicine organized the formulation and release of Pharmacovigilance Guidelines for Clinical Application of Oral Chinese Patent Medicines， aiming to inform the safe clinical use of oral CPMs and related pharmacovigilance work. According to the principles of GB/T1.1—2020 and the Drug Administration Law of the People's Republic of China （2019 revision）， the Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences， led a drafting group comprising 18 institutions. After multiple rounds of expert interviews， literature retrieval， evidence screening， and extensive solicitation of opinions， the Guidelines were registered internationally. Systematic standardization focused on safety monitoring， risk identification， assessment， control， and other aspects. The Guidelines clarified the characteristics of oral CPMs in terms of safety monitoring， known risks， and potential risks， compared to non-oral CPMs. Then， risk control measures were proposed， including medication in special populations and irrational medication. As a special guideline for pharmacovigilance in the clinical application of oral CPMs， the Guidelines systematically construct a technical system in line with the characteristics of traditional Chinese medicine （TCM）， which is essential for improving the clinical safety management of oral CPMs and provides an important reference for medical institutions， pharmaceutical manufacturers， and regulatory authorities.

BACKGROUND:Ca2+expression in astrocytes has been found to be closely related to cognitive function,and the Ca2+signaling pathway regulated by inositol 1,4,5-trisphosphate receptors(IP3R2)and ryanodine receptor(RYR)2 receptors has become a hot spot in the study of cognitive disorder-related diseases. OBJECTIVE:To investigate the expression of Ca2+signals mediated by IP3R2 and RYR2 in hippocampal astrocytes in animal models of delayed encephalopathy after acute carbon monoxide poisoning,and to explore the possible pathogenesis of delayed encephalopathy after acute carbon monoxide poisoning. METHODS:C57BL mice with qualified cognitive function were selected by Morris water maze experiment and randomly divided into control group and experimental group.An animal model of delayed encephalopathy after acute carbon monoxide poisoning was established by static carbon monoxide inhalation in the experimental group,and the same amount of air was inhaled in the control group.Behavioral and neuronal changes,astrocyte specific marker glial fibrillary acidic protein,IP3R2,RYR2 receptor and Ca2+concentration in astrocytes of the two groups were detected using Morris water maze,hematoxylin-eosin staining,western blot,immunofluorescence double labeling and Ca2+fluorescence probe at 21 days after modeling. RESULTS AND CONCLUSION:In the Morris water maze,the escape latency of the experimental group was significantly longer than that of the control group(P<0.05).Hematoxylin-eosin staining results showed that in the experimental group,the number of hippocampal pyramidal cells decreased,the cell structure was disordered,and the nucleus was broken and dissolved.Immunofluorescence results showed that IP3R2 and RYR2 were co-expressed with glial fibrillary acidic protein in the hippocampus,and the expressions of IP3R2,RYR2 and glial fibrillary acidic protein were up-regulated in the hippocampus of the experimental group(P<0.05).Western blot analysis showed that the expressions of IP3R2,RYR2,and glial fibrillary acidic protein in the hippocampus of the experimental group were increased(P<0.05).Ca2+concentration in hippocampal astrocytes increased significantly in the experimental group(P<0.05).To conclude,astrocytes may affect Ca2+signals by mediating IP3R2 and RYR2 receptors,then impair the cognitive function of mice with carbon monoxide poisoning,and eventually lead to delayed encephalopathy after acute carbon monoxide poisoning.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective To prepare a stable rat model of chronic liver failure to provide a tool for basic research.Methods Sixty-six SPF SD rats were divided into a normal group(n=18)and a modeling group(n=48).Rats in the modeling group received an intraperitoneal injection of 50％CCl4 olive oil solution(1.5 mL/kg,twice a week).Multidimensional assessment was performed at 8,16,and 24 weeks,respectively,including ultrasonic examination of liver morphology,hardness,portal vein diameter,and ascites,and collection of serum,plasma,and liver tissue to detect liver function,coagulation function,and blood ammonia levels.Liver tissue injury and fibrosis were observed by hematoxylin-eosin(HE)and Masson staining.Cognitive function was assessed using the water maze test.Survival were recorded simultaneously.Results Rats in the model group showed decreased activity and appetite,yellow urine,and increased abdominal circumference compared with the normal group.Ultrasound showed enhanced liver parenchyma echo in the model group that thickened with time,secondary ascites formation,portal vein dilation,and portal hypertension.Water maze and blood ammonia tests confirmed cognitive decline(memory and orientation loss)and hepatic encephalopathy in the model group.Gross observation showed that the liver in the model group was atrophied and appeared rough and uneven.HE staining showed hepatocyte swelling,steatosis,and necrosis,and Masson staining confirmed fibrosis progression with pseudolobule formation.The liver function indexes AST,ALT,TBIL and blood ammonia continued to increase,and coagulation dysfunction(prolonged PT and increased INR)gradually increased with the modeling process.Conclusions Intraperitoneal injection of 50％CCl4 olive oil solution(1.5 mL/kg,every week)for 24 weeks can stably simulate persistent chronic liver injury in rats and lead to the typical pathological changes and complications of chronic liver failure,based on the decompensation stage of cirrhosis.This model replicates the pathological evolution of human hepatitis from liver fibrosis → liver cirrhosis compensation → decompensation → chronic liver failure,providing a reliable modeling reference for the study of the mechanism of chronic liver failure.

Objective:To explore the application value of echocardiography in the management of pediatric mitral valve replacement.Methods:Thirty-three children who underwent mitral valve replacement at Union Hospital Tongji Medical College Huazhong University of Science and Technology from January 2009 to June 2023 were retrospectively analyzed. Clinical data and preoperative and postoperative echocardiographic data were collected. The differences in ultrasound parameters among preoperative，1-week postoperative，1-month postoperative and 1-year postoperative were compared.Results:Of the 33 children，there were 4 cases（12.12%）of mitral stenosis，33 cases（100%）of mitral regurgitation and 4 cases（12.12%）of mitral stenosis combined with regurgitation. Mechanical valve replacement was performed in 30 cases（90.91%）and bioprosthetic valve replacement in 3 cases（9.09%）. Compared with the preoperative period，the left atrial internal diameter and left ventricular end-diastolic internal diameter were significantly reduced at 1-week postoperatively，1-month postoperatively，and 1-year postoperatively，respectively（all P <0.05）.The left ventricular mass was significantly reduced and the left ventricular end-diastolic sphericity index was significantly increased（both P < 0.05）at 1-month postoperatively compared with preoperatively. The left ventricular ejection fraction was significantly higher at 1-year postoperatively compared with 1-week postoperatively（ P <0.05）. Conclusions:After pediatric mitral valve replacement，the left ventricular dimensions decrease，and cardiac function progressively recovers. Echocardiography is an essential tool for accurate preoperative assessment and postoperative follow-up in pediatric mitral valve replacement.

Objective:To develop an artificial intelligence（AI）-based sequential ultrasound-magnetic resonance imaging（US-MRI）diagnostic strategy to optimize the imaging workflow for ovarian masses.Methods:A total of 1 120 patients with pathologically confirmed ovarian masses who underwent both preoperative pelvic ultrasound and MRI between January 2021 and December 2023 at Women's Hospital，Zhejiang University School of Medicine were retrospectively included. Patients were randomly divided into the training（ n=672）and internal test set（ n=448）at a ratio of 6∶4. An external test set（ n=128）was established at the Forth Affiliated Hospital of School of Medicine. Deep learning was used for automated segmentation of MRI lesions，followed by radiomic feature extraction and machine learning classification to construct both a US-MRI multimodal model and sequential US-MRI strategy. Diagnostic performance and potential healthcare cost-saving effects were evaluated across strategies. Results:In the internal test set（ n=448），the AI-based sequential US-MRI strategy achieved a F1 score of 0.863 and a diagnostic accuracy of 82.14%，with no significant difference compared to the US-MRI multi-modal model（ P>0.05）. The sequential strategy identified 82 cases（18.30%，82/448）of patients as low-risk true negatives during initial ultrasound screening，suggesting a potential to reduce the need for MRI examinations in future clinical practice. In the external test set（ n=128），the strategy achieved an F1 score of 0.800 and a confirmed diagnosis rate of 85.94%，with a theoretical reduction of 26.56%（34 cases）in MRI utilization while maintaining a diagnostic accuracy rate higher than that of the multi-modal model（82.18%）. Conclusions:The AI-based US-MRI sequential diagnostic strategy demonstrates favorable diagnostic accuracy while offering the potential to optimize MRI utilization. This approach may enhance the efficiency of imaging resource allocation and reduce healthcare burden in the management of ovarian masses.

Objective To evaluate the effect of exercise on freezing of gait in Parkinson's disease.Methods After constructing a PICO framework,randomized controlled trials(RCTs)about exercise for freezing of gait in Parkinson's disease were systematically retrieved from Web of Science,PubMed,Cochrane Library,Embase,CNKI,VIP and Wanfang Data,from the establishment of the databases to March,2025.The PEDro scale was used to evaluate the quality of literature,Stata 17.0 was used for meta-analysis,and GRADE was used to assess the evidence quality.Results A total of twelve RCTs involving 463 patients were included,with PEDro scale scores of five to eight.Exercise improved the scores of Freezing of Gait Questionnaire(FOGQ)(SMD=-0.61,95%CI-0.85～-0.36,P<0.001)and Unified Parkinson's Disease Rating Scale Ⅲ(UPDRSⅢ)(SMD=-0.84,95%CI-1.27～-0.41,P<0.001).Subgroup analysis revealed that the patients aged 59 to 68 years,the course of disease

Objective To construct the predictive model of pressure injury(PI)in the patients with chronic pain based on machine learning,and to analyze its accuracy and rationality,so as to provide an evidence for the predictive evaluation of clinical PI.Methods The clinical medical records data of 396 patients with chronic pain and high risk Braden scores hospitalized in a class 3A hospital of Chongqing City from March 2023 to June 2024 were retrospectively analyzed.Based on the Python3.10 programming language,the decision tree model,random forest model,linear regression model,naive Bayes model and K-Means model were con-structed,and the model performances were compared by accuracy,sensitivity,precision,F1 score and area un-der the receiver operating characteristic(ROC)curve(AUC).Results PI occurred in 35 cases with an inci-dence rate of 8.84%.Age,NRS score,pain site and pain affected sleep were the independent influencing fac-tors for the PI occurrence in the patients with chronic pain.Among 5 kinds of PI risk predictive model,the ac-curacy(0.873),sensitivity(0.874),precision(0.848),F1 score(0.844)and ROC AUC(0.81)of the ran-dom forest model were all higher than those of other models.Conclusion The random forest model has a high predictive performance for PI in the patients with chronic pain,and could be used for the screening and man-agement of high risk groups of PI in the patients with chronic pain.

Objective To investigate the association of urinary phthalate metabolites with 4 high-density lipoprotein-cholesterol(HDL-C)-related inflammatory indicators[lymphocyte/HDL-C ratio(LHR),monocyte/HDL-C ratio(MHR),neutrophil/HDL-C ratio(NHR),and platelet/HDL-C ratio(PHR)],and to explain their possible biological mechanisms.Methods The 4 573 adult participants from the National Health and Nutrition Examination Survey(NHANES)were subjected,and then generalized linear regression(GLM),restricted cubic spline(RCS),and weighted quantile sum(WQS)regressions were performed to explore the potential associations of phthalates mono-exposures and mixed exposures,respectively,with the HDL-C-related inflammation metrics.Results Nine urinary phthalate metabolites were significantly positively associated with at least 1 inflammatory marker,while 1 metabolite(MEP)showed a negative association with an inflammatory indicator(LHR).Some exposure metabolites showed a nonlinear association with outcome inflammatory indicators.WQS regression revealed varying weight contributions of individual metabolite to each inflammatory outcome.Subgroup analyses indicated differential association effects of phthalates with HDL-C-related inflammatory metrics across gender,age,and BMI populations.Conclusion There are associations between phthalate exposure and HDL-C-related inflammation indicators,but further studies are needed to reveal the underlying mechanisms.