OBJECTIVE To provide technical support for improving recognition rate of adverse drug events （ADEs） related to traditional Chinese medicine （TCM） formula granules and decoction pieces among inpatient patients. METHODS By referencing the global trigger tool （GTT） whitepaper， literature on adverse reactions to TCM， and expert review opinions， ADE trigger items for TCM formula granules and decoction pieces used in the inpatients were established. GTT was applied to analyze ADEs in inpatients who had used TCM formula granules and decoction pieces in our hospital from August 2013 to August 2023， utilizing the Chinese Hospital Pharmacovigilance System. The effectiveness of GTT and the characteristics of these ADEs were analyzed. RESULTS A total of forty-eight triggers were established， including thirty-two laboratory test indexes， thirteen clinical symptoms， and three antidotes. Among the 1 682 patients included， GTT identified 652 potential ADEs， 284 true positive ADEs，with a trigger rate of 38.76% and a positive predictive value of 43.56%. After review by the auditor， 278 cases of ADEs were finally confirmed， with an incidence rate of 16.53%， significantly higher than the number of spontaneously reported ADEs during the same period （0）. The 278 cases of ADEs were mostly grade 1 （223 cases）， mainly involving hepatobiliary system， gastrointestinal system， blood- lymphatic system， etc；a total of 219 types of TCMs are involved，and the top five suspected TCMs used at a frequency higher than 1% were Poria cocos， Codonopsis pilosula， Atractylodes macrocephala， fried Glycyrrhiza uralensis， and Scutellaria baicalensis. CONCLUSIONS The established GTT can improve the recognition rate of ADEs for hospitalized patients using traditional Chinese medicine formula granules and decoction pieces.

ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

Objective: To explore the long term trend of forced vital capacity to weight index (FWI) among Chinese Han students aged 7-18 from 2000 to 2019, and to predict its changes over the next decade, so as to provide scientific evidences for targeted health interventions and school health policies. Methods: Based on the data of the five Chinese National Surveys on Students Constitution and Health conducted from 2000 to 2019, a total of 216 500, 233 565, 215 267, 214 256 and 212 632 Han students aged 7-18 were included, respectively. The long term trend of FWI among students was analyzed, and the GM (1,1) grey model was used to predict FWI changes over the next decade. Subgroup analyses were conducted by sex, age, and urban-rural residence. Results: The FWI levels of Chinese Han students aged 7-18 were (55.30±11.47)(47.43±11.92)(48.11±12.46)(48.75±12.81)(50.93±13.11)mL/kg in 2000, 2005, 2010, 2014, and 2019, respectively. The FWI of Chinese Han students showed a decreasing then increasing trend from 2000 to 2019, reaching the lowest point of approximately 47.03 mL/kg around 2006, and was projected to recover to 52.88 mL/kg by 2029. Boys had higher FWI for each year and the total level than girls from 2000 to 2019( t =72.58-304.66), and the decline between 2000 and 2005 was smaller in boys (13.1%) than in girls (15.4%). However, the gender gap gradually narrowed and was projected to reduce to 5.36 mL/kg by 2029. FWI increased with age, with the largest difference observed in 2014 between the 7-9 and 16-18 age groups (8.62 mL/kg). Before 2014, urban boys had slightly lower FWI than rural boys; the gap narrowed thereafter, and their FWI levels were expected to become similar by 2029. Urban girls generally had higher FWI than rural girls, and the urban-rural gap showed an increasing trend. By 2029, the largest difference was projected to occur in the 13-15 age group, reaching 7.74 mL/kg. Conclusions The FWI of Chinese Han students showed a trend of initial decline followed by a gradual increase from 2000 to 2019, with notable differences across sex, age, and urban-rural residence. Greater attention should be paid to the respiratory health of rural girls, and effective measures should be taken to reduce urban-rural disparities.

Cryoablation therapy with explicit anti-tumor mechanisms and histopathological manifestations has a long history.A large number of clinical practice has shown that cryoablation therapy is safe and effective,making it an ideal tumor treatment method in theory.Previously,its efficacy and clinical application were constrained by the limitations of refrigerants and refrigeration equipment.With the development of the new generation of cryoablation equipment represented by argon helium knives,significant progress has been made in refrigeration efficien-cy,ablation range,and precise temperature measurement,greatly promoting the progression of tumor cryoablation technology.This consensus systematically summarizes the mechanism of cryoablation technology,indications for oral mucosal melanoma(OMM)cryotherapy,clinical treatment process,adverse reactions and management,cryotherapy combination therapy,etc.,aiming to provide reference for carrying out the standardized cryoablation therapy of OMM.

Objective To systematically analyze and identify key risk factors for postoperative pulmonary hemorrhage u-sing a combination of the random forest(RF)model and traditional logistic regression analysis,so as to provide data support for clinical practice.Methods This study included patients who underwent needle biopsy of lung masses from January 2020 to December 2023 in the Department of Interventional Therapy,Cancer Hospital,Tianjin Medical University.There were 844 cases,including 387 males and 457 females,ranging in age from 39 to 82 years.Clinical data and puncture-related characteristics were collected,including tumor size,puncture depth,puncture angle,presence of emphysema,lesion loca-tion in the lung,body position during puncture,whether the puncture passed through the interlobar fissure,and the number of punctures.The RF model was used to rank the importance of all variables,identifying those with the highest predictive value.Subsequently,a multivariate logistic regression model was applied to the top-ranked important variables to further e-valuate their independent impact on postoperative pulmonary hemorrhage.Results The RF model results showed that tumor size and puncture depth had the highest importance in predicting the risk of postoperative pulmonary hemorrhage.Multivari-ate logistic regression analysis further confirmed that smaller tumor size(HR:0.980,95％CI:0.971-0.989,P＜0.05)was significantly associated with a lower risk of hemorrhage,while greater puncture depth(HR:1.146,95％CI:1.063-1.235,P＜0.05)was closely related to a higher risk of hemorrhage.Additionally,other factors such as puncture angle,age,lesion location in the lung and presence of emphysema showed some influence but did not reach statistical significance in the multi-variate analysis.Conclusion This study successfully identified tumor size and puncture depth as independent risk factors for postoperative pulmonary hemorrhage by combining the RF model with multivariate logistic regression analysis.The appli-cation of the RF model improved the accuracy of feature selection,allowing us to focus on the most contributory predictive variables.These findings provide important support for preoperative risk assessment,suggesting that clinicians should priori-tize these key factors in preoperative evaluations to develop safer and more effective surgical plans,thereby reducing the risk of postoperative hemorrhage and other complications.

Objective:To offset the shortage of traditional large-scale population surveillance and provide early-warning signals in the early stage of the outbreak of COVID-19, people in Chongqing had carried out severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) monitoring since 2023.Methods:After COVID-19 was managed with measures against Class B infectious diseases, we selected five sewage treatment plants with automatic sample collection facilities in four districts of the main city. Two samples of sewage from each sewage treatment plant were collected every week. Then SARS-CoV-2 from these samples was concentrated by aluminum hydroxide adsorption-precipitation, detected and analyzed by multiple real-time fluorescent RT-PCR.Results:From January 16 to December 31 of 2023, a total of 496 sewage samples were monitored, of which 285 samples were positive by SARS-CoV-2 nucleic acid assay, with a total detection rate of 57.46%. The detection rate of SARS-CoV-2 in weeks 3-5, 18-21 and 40-47 was 100.00%. The daily mean nucleic acid concentration of SARS-CoV-2 in sewage peaked in the 18th week, and then began to decline, entering a low level and fluctuated in epidemic period. The variable trend of daily mean concentration of SARS-CoV-2 nucleic acid was basically consistent with daily number of SARS-CoV-2 infected patients or SARS-CoV-2 positive rate in fever clinic counted by infectious disease monitoring system.Conclusions:The detection rate of SARS-CoV-2 in sewage of Chongqing is relatively high, especially in April to May, and sewage monitoring can indirectly reflect the status of COVID-19 infection.

Objective: To analyze the prevalence and related factors of pediatric flexible flatfoot (PFF) among 7-8 year old children in Changzhou, so as to provide a feasible basis for the prevention and treatment of PFF. Methods: From December 2023 to February 2024, a total of 1 685 children aged 7-8 from 10 primary schools in Changzhou were selected by stratified cluster random sampling method, and screened for PFF by using a foot optical assessment recording device. Information including sex, body mass index (BMI), diet, exercise and shoe wearing habits were collected. The valgus angle of the hindfoot was measured on the body surface by using an orthopedic measuring ruler in the standing position. Pain levels were evaluated by using visual analogue score (VAS) for children with flatfoot syndrome. Multivariate Logistic analysis was used to analyze related factors of PFF. Results: The overall detection rate of PFF was 27.4%, and there was a significant difference in the detection rate of PFF between boys and girls, with 30.3% and 24.1% respectively ( χ 2=7.96, P < 0.01 ). Most cases of PFF were mild flatfoot (60.8%) and bilateral ( 60.4% ). Approximately 13.2% of children with PFF had flatfoot syndrome, with a mean VAS of (2.86±0.73). About 56.1% of children with PFF had a normal valgus angle of the hindfoot. Sex, high BMI and preference for shoe last with front upturned shoe shape were positively correlated with the detection of PFF ( OR= 1.74, 1.54, 1.13, P <0.05). After stratified by sex, regular exercise in boys and age in girls were negatively correlated with the detection of PFF ( OR=0.40, 0.64, P <0.05). Conclusions The detection rate of PFF in 7-8 year old children is high. Additionally, PFF combined with flatfoot syndrome or valgus hindfoot is relatively rare and is likely to be underestimated, which emphasizes the importance of early detection and intervention for PFF.

Objective: The study aimed to investigate the role of N6-methyladenosine (m6A) modification in spinal cord injury (SCI) and its underlying mechanism, focusing on the interplay between m6A methyltransferase-like 3 (METTL3), miR-30c, and autophagy-related proteins. Methods: An SCI model was established in rats, and changes in autophagy-related proteins, m6A methylation levels, and miR-30c levels were analyzed. Hydrogen peroxide (H2O2)-stimulated spinal cord neuron cells (SCNCs) were used to assess the impact of METTL3 overexpression. The effects of STM2457, an antagonist of METTL3, were evaluated on cell viability, apoptosis, and autophagy markers in H2O2-stimulated SCNCs. Results: In the SCI model, decreased levels of autophagy markers and increased m6A methylation, miR-30c levels, and METTL3 were observed. Overexpression of METTL3 in SCNCs led to reduced cell viability, increased apoptosis, and suppressed autophagy. Conversely, co-overexpression of autophagy-related protein 5 (ATG5) or miR-30c inhibition reversed these effects. Knocking out METTL3 yielded opposite results. STM2457 treatment improved cell viability, reduced apoptosis, and upregulated autophagy markers in SCNCs, which also enhanced functional recovery in rats as measured by the Basso-Beattie-Bresnahan score and inclined plate test. Conclusion STM2457 alleviated SCI by suppressing METTL3-mediated m6A modification of miR-30c, which in turn induces ATG5-mediated autophagy. This study provides insights into the role of m6A modification in SCI and suggests a potential therapeutic approach through targeting METTL3.

Objective: The study aimed to investigate the role of N6-methyladenosine (m6A) modification in spinal cord injury (SCI) and its underlying mechanism, focusing on the interplay between m6A methyltransferase-like 3 (METTL3), miR-30c, and autophagy-related proteins. Methods: An SCI model was established in rats, and changes in autophagy-related proteins, m6A methylation levels, and miR-30c levels were analyzed. Hydrogen peroxide (H2O2)-stimulated spinal cord neuron cells (SCNCs) were used to assess the impact of METTL3 overexpression. The effects of STM2457, an antagonist of METTL3, were evaluated on cell viability, apoptosis, and autophagy markers in H2O2-stimulated SCNCs. Results: In the SCI model, decreased levels of autophagy markers and increased m6A methylation, miR-30c levels, and METTL3 were observed. Overexpression of METTL3 in SCNCs led to reduced cell viability, increased apoptosis, and suppressed autophagy. Conversely, co-overexpression of autophagy-related protein 5 (ATG5) or miR-30c inhibition reversed these effects. Knocking out METTL3 yielded opposite results. STM2457 treatment improved cell viability, reduced apoptosis, and upregulated autophagy markers in SCNCs, which also enhanced functional recovery in rats as measured by the Basso-Beattie-Bresnahan score and inclined plate test. Conclusion STM2457 alleviated SCI by suppressing METTL3-mediated m6A modification of miR-30c, which in turn induces ATG5-mediated autophagy. This study provides insights into the role of m6A modification in SCI and suggests a potential therapeutic approach through targeting METTL3.

Objective: The study aimed to investigate the role of N6-methyladenosine (m6A) modification in spinal cord injury (SCI) and its underlying mechanism, focusing on the interplay between m6A methyltransferase-like 3 (METTL3), miR-30c, and autophagy-related proteins. Methods: An SCI model was established in rats, and changes in autophagy-related proteins, m6A methylation levels, and miR-30c levels were analyzed. Hydrogen peroxide (H2O2)-stimulated spinal cord neuron cells (SCNCs) were used to assess the impact of METTL3 overexpression. The effects of STM2457, an antagonist of METTL3, were evaluated on cell viability, apoptosis, and autophagy markers in H2O2-stimulated SCNCs. Results: In the SCI model, decreased levels of autophagy markers and increased m6A methylation, miR-30c levels, and METTL3 were observed. Overexpression of METTL3 in SCNCs led to reduced cell viability, increased apoptosis, and suppressed autophagy. Conversely, co-overexpression of autophagy-related protein 5 (ATG5) or miR-30c inhibition reversed these effects. Knocking out METTL3 yielded opposite results. STM2457 treatment improved cell viability, reduced apoptosis, and upregulated autophagy markers in SCNCs, which also enhanced functional recovery in rats as measured by the Basso-Beattie-Bresnahan score and inclined plate test. Conclusion STM2457 alleviated SCI by suppressing METTL3-mediated m6A modification of miR-30c, which in turn induces ATG5-mediated autophagy. This study provides insights into the role of m6A modification in SCI and suggests a potential therapeutic approach through targeting METTL3.