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.

ObjectiveTo evaluate the public health governance capacity in Jiangsu Province and provide an optimized pathway for the construction of a “strong, rich, beautiful, and high-quality” new Jiangsu. MethodsA total of 806 policy documents, 658 public information reports, and 148 research literatures related to public health governance capacity in Jiangsu Province from January 1995 to December 2023 were collected. The status of current public health goverance was assessed based on the evaluation criteria suitable for public health systems, and the strengths and the weaknesses of the system were identified. ResultsThe public health governance capability of Jiangsu Province was scored at 738.3 points, ranking 3rd nationally. Maternal health care and emergency response capacities achieved leading positions nationwide, both ranking 2nd. Jiangsu had exhibited a standardized guidance in the strategic level, a well-established management mechanism, an extensive coverage in information collection, and a scientifically established health targets setting. However, bottlenecks remained, including an unclear division of responsibilities across organizational departments, an insufficient public-health workforce, the absence of a stable growth mechanism for government funding investment, and difficulties in promptly identifying public needs. ConclusionJiangsu’s public-health system demonstrates leading nationally, yet several components remain underdeveloped. Future efforts should consolidate advantages while addressing weaknesses, further diversify content and forms, establish a stable funding increase mechanism, and clarify departmental functions, thereby providing solid health support for realizing the developmental goals of a “strong, rich, beautiful and high-quality” new Jiangsu.

ObjectiveTo systematically assess the public health governance capacity in Zhejiang Province, to conduct an in-depth analysis of its strengths and weaknesses, so as to provide scientific basis and strategic recommendations for further enhancement. MethodsA systematic collection of policy documents, public information reports, and research literature related to public health governance capacity in Zhejiang Province from 2002 to 2023 was conducted (encompassing a total of 1 263 policy documents, 138 pieces of information reports and 631 research articles). Based on the evaluation criteria suitable for public health systems previously developed by the research team, the basic status and magnitude of change in public health governance capacity in Zhejiang Province was evaluated. Additionally, normative gap analyses were employed to identify the strengths and weaknesses. ResultsZhejiang Province ranked 4th nationwide in terms of public health governance capacity with a score of 733.4 points (1 000.0-point maximum). The province has effectively implemented the principle of health first (scoring 698.5 points in the assessment of health-first strategy implementation) and attached sufficient importance to health-related goals (scoring 658.2 points in the scientific rationality of goal setting). However, the implementation of inter-departmental coordination and incentive mechanisms only scored 178.7 points, the feasibility of management and monitoring mechanisms scored even lower at only 144.0 points, and the coverage of incentive mechanisms scored 286.0 points. ConclusionZhejiang Province has effectively implemented its health first strategy and attached great importance to health targets, but still needs to strengthen cross-departmental coordination mechanisms and health-oriented incentives.

Objective To explore the factors affecting the coefficient of variation(CV)of glucose in type 2 diabetes mellitus(T2DM)patients based on real-time dynamic glucose monitoring system.Methods A total of 354 patients with T2DM hospitalized in the Department of Endocrinology of Jiangsu Shengze Hospital were enrolled in this study from March 2023 to March 2024 and divided into two groups:the glycemic variability(GV,CV>36%)group(n=118)and the glucose stable(GS,CV≤36%)group(n=236).The clinical data of the two groups were compared,and the influencing factors for CV>36%were analyzed.Results The DM duration and HbA1c were higher(P<0.05),while BMI,visceral fat area,subcutaneous fat area(SFA),FC-P,serum uric acid(SUA),and TG were lower in the GV group than in the GS group(P<0.05).Spearman correlation analysis showed that CV was positively correlated with diabetes duration and HbA1c(P<0.05),and negatively correlated with FC-P,SFA and SUA(P<0.05).Logistic regression analysis showed that DM duration,HbA1c,SFA,FC-P and SUA were the influencing factors for GV.Scatter plot analysis showed that there was a linear trend between CV level and log HbA1c and log SFA in T2DM patients.CV level increased with the increase of log HbA1c,and decreased with the increase of log SFA.ROC curve analysis showed that the area under the curve(AUC)of FC-P was 0.703(95%CI:0.640～0.765,P<0.001)for predicting GV in T2DM patients,and the cut-off value was 1.095 ng/ml.The AUC of SUA was 0.622(95%CI:0.555～0.688,P<0.001)for predicting GV,and the cut-off value was 280.5 μmol/L.Conclusions The DM duration,HbA1c,SFA,FC-P and SUA are important factors for GV,and FC-P and SUA have predictive value for GV.

Objective·To explore the diagnostic,therapeutic,and prognostic value of metagenomics next-generation sequencing(mNGS)in patients with pneumonia-induced sepsis.Methods·This study consisted of a multicenter,prospective,non-randomized controlled trial and a diagnostic test.Patients with pneumonia-induced sepsis who were hospitalized in four hospitals across China were enrolled between March 2020 and October 2021.All patients met the Sepsis-3 criteria issued by the Society of Critical Care Medicine and the European Society of Intensive Care Medicine,as well as the clinical diagnostic standard of pneumonia.Enrolled patients were assigned based on their preference to either the conventional test-only group[receiving only conventional test(CMT)]or the combined mNGS test group(receiving CMT and mNGS concurrently).The primary outcome was the 7-day all-cause mortality rate,and secondary outcomes included the changes in SOFA and APACHE Ⅱ scores from baseline to day 7,28-day all-cause mortality rate,the composite endpoint of mechanical ventilation or death within 28 d,28 d ventilation-free days,28 d hospital-free days,and the average daily hospitalization cost.Propensity score matching was used to balance covariates between the two groups.Kaplan-Meier curves were plotted and Cox proportional hazards models were built to compare the risk of death between the two groups.Pathogen detection results from infection site samples in the combined mNGS test group were used for the diagnostic test.The clinically-adjudicated causative pathogens was used as the reference standard.The results of traditional pathogen detection and mNGS detection were compared respectively with the reference standard.The positive percent agreement,negative percent agreement,positive predictive value,and negative predictive value between the two methods and the reference standard were calculated.McNemar's χ2 test was used to evaluate the causative pathogen detection capabilities of the two methods.Results·A total of 533 patients were enrolled,of whom 311 opted for additional mNGS testing,while 222 received only conventional pathogenetic testing.In the non-randomized controlled trial,after propensity score matching to balance covariates,the 7-day all-cause mortality was lower in the combined mNGS test group compared to the conventional test-only group[4.8%vs 8.6%,HR 0.37(95%CI 0.15?0.91),P=0.031].Additionally,the 28-day ventilation-free days were increased in the combined mNGS test group(19.9 d vs 18.4 d,P=0.041).No significant difference was observed between the two groups in terms of 28-day all-cause mortality or the average daily hospitalization costs.In the diagnostic test,compared to the reference standard,the positive percent agreement of mNGS with the clinical composite judgment for causative pathogens was higher than that of CMT[91.9%(95%CI 87.7%?95.0%)vs 56.1%(95%CI 49.7%?62.4%),P<0.001].Conversely,the negative percent agreement of mNGS was lower than that of CMT[29.2%(95%CI 18.6%?41.8%)vs 69.2%95%CI 56.6%?80.1%),P<0.001].The negative predictive value of nNGS was higher than that of CMT[48.7%(95%CI 32.4%?65.2%)vs 29.4%(95%CI 22.3%?37.3%),P=0.001].Conclusion·In patients with pneumonia-induced sepsis,mNGS of infection site samples demonstrated a higher detection rate of causative pathogen compared to CMT.Furthermore,the combination of mNGS with CMT may help reduce the 7-day all-cause mortality,suggesting that mNGS has clinical value and potential for application in the management of sepsis caused by pulmonary infections.

Objective·To explore the diagnostic,therapeutic,and prognostic value of metagenomics next-generation sequencing(mNGS)in patients with pneumonia-induced sepsis.Methods·This study consisted of a multicenter,prospective,non-randomized controlled trial and a diagnostic test.Patients with pneumonia-induced sepsis who were hospitalized in four hospitals across China were enrolled between March 2020 and October 2021.All patients met the Sepsis-3 criteria issued by the Society of Critical Care Medicine and the European Society of Intensive Care Medicine,as well as the clinical diagnostic standard of pneumonia.Enrolled patients were assigned based on their preference to either the conventional test-only group[receiving only conventional test(CMT)]or the combined mNGS test group(receiving CMT and mNGS concurrently).The primary outcome was the 7-day all-cause mortality rate,and secondary outcomes included the changes in SOFA and APACHE Ⅱ scores from baseline to day 7,28-day all-cause mortality rate,the composite endpoint of mechanical ventilation or death within 28 d,28 d ventilation-free days,28 d hospital-free days,and the average daily hospitalization cost.Propensity score matching was used to balance covariates between the two groups.Kaplan-Meier curves were plotted and Cox proportional hazards models were built to compare the risk of death between the two groups.Pathogen detection results from infection site samples in the combined mNGS test group were used for the diagnostic test.The clinically-adjudicated causative pathogens was used as the reference standard.The results of traditional pathogen detection and mNGS detection were compared respectively with the reference standard.The positive percent agreement,negative percent agreement,positive predictive value,and negative predictive value between the two methods and the reference standard were calculated.McNemar's χ2 test was used to evaluate the causative pathogen detection capabilities of the two methods.Results·A total of 533 patients were enrolled,of whom 311 opted for additional mNGS testing,while 222 received only conventional pathogenetic testing.In the non-randomized controlled trial,after propensity score matching to balance covariates,the 7-day all-cause mortality was lower in the combined mNGS test group compared to the conventional test-only group[4.8%vs 8.6%,HR 0.37(95%CI 0.15?0.91),P=0.031].Additionally,the 28-day ventilation-free days were increased in the combined mNGS test group(19.9 d vs 18.4 d,P=0.041).No significant difference was observed between the two groups in terms of 28-day all-cause mortality or the average daily hospitalization costs.In the diagnostic test,compared to the reference standard,the positive percent agreement of mNGS with the clinical composite judgment for causative pathogens was higher than that of CMT[91.9%(95%CI 87.7%?95.0%)vs 56.1%(95%CI 49.7%?62.4%),P<0.001].Conversely,the negative percent agreement of mNGS was lower than that of CMT[29.2%(95%CI 18.6%?41.8%)vs 69.2%95%CI 56.6%?80.1%),P<0.001].The negative predictive value of nNGS was higher than that of CMT[48.7%(95%CI 32.4%?65.2%)vs 29.4%(95%CI 22.3%?37.3%),P=0.001].Conclusion·In patients with pneumonia-induced sepsis,mNGS of infection site samples demonstrated a higher detection rate of causative pathogen compared to CMT.Furthermore,the combination of mNGS with CMT may help reduce the 7-day all-cause mortality,suggesting that mNGS has clinical value and potential for application in the management of sepsis caused by pulmonary infections.

In order to improve the effect of transcranial electrical stimulation treatment and realize personalized treatment for patients with varying severity levels, this paper designed an integrated four-channel EEG recording multimodal transcranial electrical stimulation system. This system can conduct real-time monitoring on EEG and related characteristic analysis before stimulation, in stimulation, and after stimulation. This enables physicians and researchers to resolve real-time brain states, evaluate transcranial electrical stimulation effect, and then artificially adjust the stimulation parameters. After relevant testing and verification, the system can select four stimulation modes: TACS, TDCS, TPCS and TRNS, which can output the constant stimulation current of 0.03 mA accuracy in the range of ±2 mA and the stimulation frequency of low frequency of 0~4 kHz (precision of 0.01 Hz) and high frequency 50~100 kHz, which can obtain more accurate EEG signals under stimulation interference, demonstrating a good market application prospect.
Electroencephalography/methods* ; Transcranial Direct Current Stimulation/instrumentation* ; Humans ; Equipment Design

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Osteosarcoma is a primary bone tumor originating from mesenchymal tissues,highly aggressive and metastatic,and is one of the causes of orthopedic disorders in children and adolescents.The establishment of an osteosarcoma model is useful for studying the changes in the physiology and pathology of the organism after the occurrence of osteosarcoma.The establishment methods of osteosarcoma models not only differ in terms of difficulty,tumorigenicity,tumor-formation time,tumor survival time,tumor metastasis,and safety,but also in terms of simulating human osteosarcoma biological characteristics and histological features.In addition,the wide application of tissue engineering in tumor modeling is conducive to better study the role of the osteosarcoma microenvironment in osteosarcoma genesis and development.In this paper,we summarize the roles of different osteosarcoma animal models and their tissue engineering models in different experiments,in order to provide help for the study of osteosarcoma pathogenesis and drug intervention mechanism.