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.

Objective:To develop machine learning models for interpreting brain maturity in preterm infants based on electroencephalographic (EEG) features and analyze factors affecting interpretation accuracy.Methods:This prospective study enrolled preterm infants requiring bedside EEG monitoring in the Department of Neonatology at the First Hospital of Jilin University from January 2023 to March 2024. Data from each integer-corrected gestational age (GA) group were randomly split into training and testing sets (7∶3 ratio) using Python's sklearn.model_selection.train_test_split function. Three machine learning models, including support vector regression (SVR), random forest, and decision tree, were employed to analyze EEG signals. Model performance was evaluated against manually interpreted GA as the gold standard using prediction deviation, mean absolute error (MAE), root mean square error (RMSE), and correlation coefficient ( r). Accuracy was defined based on the difference between predicted and manually interpreted GA (categorized into accurate and inaccurate groups), with a difference less than one week considered accurate. Statistical analyses included Chi-square test (or Fisher's exact test), t-test, Mann-Whitney U test, and multivariate logistic regression. Results:Among 241 preterm infants (training set: n=168; testing set: n=73), the random forest model demonstrated optimal performance: concordance rate 90.4% (66/73) with MAE 0.378 weeks, RMSE 0.577 weeks, and r=0.932 ( P<0.001). The decision tree model achieved 87.7% concordance (64/73) with MAE 0.316 weeks, while SVR showed 64.2% concordance (47/73) and MAE 0.840 weeks. Stratified by GA, random forest performed best in the 34 weeks group [concordance 100.0% (52/52), MAE 0.269 weeks], followed by the 32-34 weeks group [89.0% (81/91), MAE 0.448 weeks] and <32 weeks group [88.8% (87/98), MAE 0.561 weeks]. Compared to the accurate group ( n=205), the inaccurate group ( n=36) had higher rates of vaginal delivery [41.7% (15/36) vs. 19.5% (40/205), χ2=8.53], grade ≥Ⅱ intracranial hemorrhage [11.1% (4/36) vs. 2.4% (5/205), χ2=4.22], and periventricular echogenicity [33.3% (12/36) vs. 7.8% (16/205), χ2=17.03] (all P<0.05). Multivariate analysis identified vaginal delivery ( OR=0.190, 95% CI: 0.068-0.527), lower corrected GA ( OR=0.678, 95% CI: 0.488-0.941), and periventricular echogenicity ( OR=11.339, 95% CI: 3.250-39.559) as independent factors affecting accuracy (all P<0.05). Conclusion:The random forest-based model shows optimal accuracy for predicting brain maturity in preterm infants. Vaginal delivery, lower corrected GA, and periventricular echogenicity reduce its predictive accuracy.

Background::An evidence gap still exists regarding the efficacy and safety of tegoprazan in patients with erosive esophagitis (EE) in China. This study aimed to verify the efficacy and safety of tegoprazan vs. esomeprazole in patients with EE in China. Methods::This study was a multicenter, randomized, double-blind, parallel, active-controlled, non-inferiority phase III trial of patients with EE randomized 1:1 to tegoprazan 50 mg/day vs. esomeprazole 40 mg/day. This study was conducted in 32 sites between October 24, 2018 and October 18, 2019. The primary endpoint was the cumulative endoscopic healing rate at week 8. The secondary endpoint included endoscopic healing rate at week 4, changes in the reflux disease questionnaire (RDQ) and gastroesophageal reflux disease health-related quality of life (GERD-HRQL) scores, and symptom improvement. Results::A total of 261 patients were randomized: 132 to the tegoprazan group and 129 to the esomeprazole group. The cumulative endoscopic healing rate at 8 weeks in the tegoprazan group was non-inferior to that of the esomeprazole group (91.1% vs. 92.8%, difference: -1.7%, 95% confidence interval [CI]: -8.5%, 5.0%, P = 0.008). There were no statistically significant differences in the changes in RDQ (total, severity, and frequency) and GERD-HRQL scores between the two groups (all P >0.05). The percentages of days without symptoms, including daytime and nighttime symptoms based on patients' diaries, were similar between the two groups (all P >0.05). In the tegoprazan and esomeprazole groups, 71.5% (93/130) and 61.7% (79/128) of the participants reported adverse events (AEs), 2.3% and 0 experienced serious AEs, while 70.0% and 60.2% had treatment-emergent AEs, respectively. Conclusion::Tegoprazan 50 mg/day demonstrated non-inferior efficacy in healing EE, symptom improvement, and quality of life, and it has similar tolerability compared with esomeprazole 40 mg/day.

Objective:To investigate the clinical manifestations, treatment, and outcomes of Barth syndrome (BTHS).Methods:A retrospective analysis was conducted on 21 pediatric patients diagnosed with BTHS between January 2010 and December 2023 at Beijing Children′s Hospital, Beijing Anzhen Hospital, and Beijing JingDu Children′s Hospital. Clinical data including gender, age at onset, initial symptoms, clinical manifestations, personal history, family genetic history, and laboratory tests (neutrophil count, echocardiography, electrocardiogram and genetic testing) were reviewed.Results:All the 21 patients were male, with the age of onset at 4.1 (1.1, 9.3) months. Main clinical manifestations included heart failure (18 cases), neutropenia (16 cases), respiratory symptoms (15 cases), 3-methylpentenediuria (7 cases),develop retardation (8 cases), gastrointestinal symptoms (7 cases), fatigue and anorexia (6 cases), and recurrent infection (2 cases). Electrocardiogram abnormalities included ST changes (18 cases), flattened T wave and low voltage of limb leads (2 cases), and abnormal Q waves in lead Ⅰ and avL (1 case). Echocardiographic features showed increased trabeculation, interventricular septum and left ventricular wall thickening, and left ventricular enlargement with reduced ejection fraction. Genetic testing identified TAZ gene variations in all 21 patients: 11 missense mutations, 2 nonsense mutations, 2 frameshift mutations, 2 whole code mutations, 2 exon deletions, 1 splicing mutation, and 1 synonymous mutation. Fifteen mutations were maternally inherited, 2 were de novo, and 4 lacked verified variant origin.In terms of treatment, all 18 patients with heart failure received routine heart failure treatment, of whom 11 patients also received intravenous immunoglobulin and corticosteroids. After the follow-up of 91.0 (75.5, 109.5) months, 15 of the 18 patients showed restoration of cardiac function after 4.5 (3.0, 9.8) months of treatment, with one case of significant improvement, while 2 cases suddenly died.Conclusions:BTHS predominantly affects males with early onset, mainly characterized by abnormal cardiac structure and function, along with clinical features including fatigue, delayed growth and development, and neutropenia. Early diagnosis and intervention, including heart failure treatment, intravenous immunoglobulin, and corticosteroids, can lead to significant improvement in cardiac function, though sudden death remains a risk.

Objective:To investigate the clinical manifestations, treatment, and outcomes of Barth syndrome (BTHS).Methods:A retrospective analysis was conducted on 21 pediatric patients diagnosed with BTHS between January 2010 and December 2023 at Beijing Children′s Hospital, Beijing Anzhen Hospital, and Beijing JingDu Children′s Hospital. Clinical data including gender, age at onset, initial symptoms, clinical manifestations, personal history, family genetic history, and laboratory tests (neutrophil count, echocardiography, electrocardiogram and genetic testing) were reviewed.Results:All the 21 patients were male, with the age of onset at 4.1 (1.1, 9.3) months. Main clinical manifestations included heart failure (18 cases), neutropenia (16 cases), respiratory symptoms (15 cases), 3-methylpentenediuria (7 cases),develop retardation (8 cases), gastrointestinal symptoms (7 cases), fatigue and anorexia (6 cases), and recurrent infection (2 cases). Electrocardiogram abnormalities included ST changes (18 cases), flattened T wave and low voltage of limb leads (2 cases), and abnormal Q waves in lead Ⅰ and avL (1 case). Echocardiographic features showed increased trabeculation, interventricular septum and left ventricular wall thickening, and left ventricular enlargement with reduced ejection fraction. Genetic testing identified TAZ gene variations in all 21 patients: 11 missense mutations, 2 nonsense mutations, 2 frameshift mutations, 2 whole code mutations, 2 exon deletions, 1 splicing mutation, and 1 synonymous mutation. Fifteen mutations were maternally inherited, 2 were de novo, and 4 lacked verified variant origin.In terms of treatment, all 18 patients with heart failure received routine heart failure treatment, of whom 11 patients also received intravenous immunoglobulin and corticosteroids. After the follow-up of 91.0 (75.5, 109.5) months, 15 of the 18 patients showed restoration of cardiac function after 4.5 (3.0, 9.8) months of treatment, with one case of significant improvement, while 2 cases suddenly died.Conclusions:BTHS predominantly affects males with early onset, mainly characterized by abnormal cardiac structure and function, along with clinical features including fatigue, delayed growth and development, and neutropenia. Early diagnosis and intervention, including heart failure treatment, intravenous immunoglobulin, and corticosteroids, can lead to significant improvement in cardiac function, though sudden death remains a risk.

Objective:To develop machine learning models for interpreting brain maturity in preterm infants based on electroencephalographic (EEG) features and analyze factors affecting interpretation accuracy.Methods:This prospective study enrolled preterm infants requiring bedside EEG monitoring in the Department of Neonatology at the First Hospital of Jilin University from January 2023 to March 2024. Data from each integer-corrected gestational age (GA) group were randomly split into training and testing sets (7∶3 ratio) using Python's sklearn.model_selection.train_test_split function. Three machine learning models, including support vector regression (SVR), random forest, and decision tree, were employed to analyze EEG signals. Model performance was evaluated against manually interpreted GA as the gold standard using prediction deviation, mean absolute error (MAE), root mean square error (RMSE), and correlation coefficient ( r). Accuracy was defined based on the difference between predicted and manually interpreted GA (categorized into accurate and inaccurate groups), with a difference less than one week considered accurate. Statistical analyses included Chi-square test (or Fisher's exact test), t-test, Mann-Whitney U test, and multivariate logistic regression. Results:Among 241 preterm infants (training set: n=168; testing set: n=73), the random forest model demonstrated optimal performance: concordance rate 90.4% (66/73) with MAE 0.378 weeks, RMSE 0.577 weeks, and r=0.932 ( P<0.001). The decision tree model achieved 87.7% concordance (64/73) with MAE 0.316 weeks, while SVR showed 64.2% concordance (47/73) and MAE 0.840 weeks. Stratified by GA, random forest performed best in the 34 weeks group [concordance 100.0% (52/52), MAE 0.269 weeks], followed by the 32-34 weeks group [89.0% (81/91), MAE 0.448 weeks] and <32 weeks group [88.8% (87/98), MAE 0.561 weeks]. Compared to the accurate group ( n=205), the inaccurate group ( n=36) had higher rates of vaginal delivery [41.7% (15/36) vs. 19.5% (40/205), χ2=8.53], grade ≥Ⅱ intracranial hemorrhage [11.1% (4/36) vs. 2.4% (5/205), χ2=4.22], and periventricular echogenicity [33.3% (12/36) vs. 7.8% (16/205), χ2=17.03] (all P<0.05). Multivariate analysis identified vaginal delivery ( OR=0.190, 95% CI: 0.068-0.527), lower corrected GA ( OR=0.678, 95% CI: 0.488-0.941), and periventricular echogenicity ( OR=11.339, 95% CI: 3.250-39.559) as independent factors affecting accuracy (all P<0.05). Conclusion:The random forest-based model shows optimal accuracy for predicting brain maturity in preterm infants. Vaginal delivery, lower corrected GA, and periventricular echogenicity reduce its predictive accuracy.

Background::An evidence gap still exists regarding the efficacy and safety of tegoprazan in patients with erosive esophagitis (EE) in China. This study aimed to verify the efficacy and safety of tegoprazan vs. esomeprazole in patients with EE in China. Methods::This study was a multicenter, randomized, double-blind, parallel, active-controlled, non-inferiority phase III trial of patients with EE randomized 1:1 to tegoprazan 50 mg/day vs. esomeprazole 40 mg/day. This study was conducted in 32 sites between October 24, 2018 and October 18, 2019. The primary endpoint was the cumulative endoscopic healing rate at week 8. The secondary endpoint included endoscopic healing rate at week 4, changes in the reflux disease questionnaire (RDQ) and gastroesophageal reflux disease health-related quality of life (GERD-HRQL) scores, and symptom improvement. Results::A total of 261 patients were randomized: 132 to the tegoprazan group and 129 to the esomeprazole group. The cumulative endoscopic healing rate at 8 weeks in the tegoprazan group was non-inferior to that of the esomeprazole group (91.1% vs. 92.8%, difference: -1.7%, 95% confidence interval [CI]: -8.5%, 5.0%, P = 0.008). There were no statistically significant differences in the changes in RDQ (total, severity, and frequency) and GERD-HRQL scores between the two groups (all P >0.05). The percentages of days without symptoms, including daytime and nighttime symptoms based on patients' diaries, were similar between the two groups (all P >0.05). In the tegoprazan and esomeprazole groups, 71.5% (93/130) and 61.7% (79/128) of the participants reported adverse events (AEs), 2.3% and 0 experienced serious AEs, while 70.0% and 60.2% had treatment-emergent AEs, respectively. Conclusion::Tegoprazan 50 mg/day demonstrated non-inferior efficacy in healing EE, symptom improvement, and quality of life, and it has similar tolerability compared with esomeprazole 40 mg/day.

Objective:To develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma(CCA)based on the expression of silence information regulator 2(SIRT2).Methods:The differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases.Gene set enrichment analysis(GSEA)was used to explore potential mechanisms of SIRT2 in CCA.The expression of SIRT2 protein in CCA tissues and normal tissues(including 44 pairs of specimens)was also detected by immunohistochemistry(IHC)in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021.The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed.A survival prediction model for patients with resectable CCA was constructed with COX regression results,the calibration curve and the time-dependent receiver operating characteristic curve(ROC)were used to evaluate the performance of the constructed model,and the predictive power between this model and the American Joint Committee on Cancer(AJCC)/TNM staging system(8th edition)was compared.Results:SIRT2 mRNA was overexpressed in CCA tissues as shown in TCGA and GEO databases.IHC staining showed that SIRT2 protein expression in CCA tissues was significantly higher than that in adjacent non-tumor tissues.GSEA results showed that elevated SIRT2 expression may be involved in multiple metabolism-related signaling pathway,such as fatty acid metabolism,oxidative phosphorylation and amino acid metabolism.SIRT2 expression was related to serum triglycerides level,tumor size and lymph node metastasis(all P<0.05).The survival analysis results showed that patients with higher SIRT2 expression had a significantly lower overall survival(OS)than patients with lower SIRT2 expression(P<0.05).Univariate COX regression analysis suggested that pathological differentiation,clinical stage,postoperative treatment and SIRT2 expression level were associated with the prognosis of CCA patients(all P<0.05).Multivariate regression analysis confirmed that clinical stage and SIRT2 expression level were independent predictors of OS in postoperative CCA patients(both P<0.05).A nomogram based on SIRT2 for prediction of survival in postoperative CCA patients was constructed.The C-index of the model was 0.675,and the area under the time-dependent ROC curve(AUC)for predicting survival in the first,second,and third years was 0.879,0.778,and 0.953,respectively,which were superior to those of AJCC/TNM staging system(8th Edition).Conclusions:SIRT2 is highly expressed in CCA tissues,which is associated with poor prognosis in patients with resectable CCA.The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system(8th edition)in prediction of survival of postoperative CCA patients.

Objective:To develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma(CCA)based on the expression of silence information regulator 2(SIRT2).Methods:The differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases.Gene set enrichment analysis(GSEA)was used to explore potential mechanisms of SIRT2 in CCA.The expression of SIRT2 protein in CCA tissues and normal tissues(including 44 pairs of specimens)was also detected by immunohistochemistry(IHC)in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021.The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed.A survival prediction model for patients with resectable CCA was constructed with COX regression results,the calibration curve and the time-dependent receiver operating characteristic curve(ROC)were used to evaluate the performance of the constructed model,and the predictive power between this model and the American Joint Committee on Cancer(AJCC)/TNM staging system(8th edition)was compared.Results:SIRT2 mRNA was overexpressed in CCA tissues as shown in TCGA and GEO databases.IHC staining showed that SIRT2 protein expression in CCA tissues was significantly higher than that in adjacent non-tumor tissues.GSEA results showed that elevated SIRT2 expression may be involved in multiple metabolism-related signaling pathway,such as fatty acid metabolism,oxidative phosphorylation and amino acid metabolism.SIRT2 expression was related to serum triglycerides level,tumor size and lymph node metastasis(all P<0.05).The survival analysis results showed that patients with higher SIRT2 expression had a significantly lower overall survival(OS)than patients with lower SIRT2 expression(P<0.05).Univariate COX regression analysis suggested that pathological differentiation,clinical stage,postoperative treatment and SIRT2 expression level were associated with the prognosis of CCA patients(all P<0.05).Multivariate regression analysis confirmed that clinical stage and SIRT2 expression level were independent predictors of OS in postoperative CCA patients(both P<0.05).A nomogram based on SIRT2 for prediction of survival in postoperative CCA patients was constructed.The C-index of the model was 0.675,and the area under the time-dependent ROC curve(AUC)for predicting survival in the first,second,and third years was 0.879,0.778,and 0.953,respectively,which were superior to those of AJCC/TNM staging system(8th Edition).Conclusions:SIRT2 is highly expressed in CCA tissues,which is associated with poor prognosis in patients with resectable CCA.The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system(8th edition)in prediction of survival of postoperative CCA patients.

Objective:To develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma(CCA)based on the expression of silence information regulator 2(SIRT2).Methods:The differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases.Gene set enrichment analysis(GSEA)was used to explore potential mechanisms of SIRT2 in CCA.The expression of SIRT2 protein in CCA tissues and normal tissues(including 44 pairs of specimens)was also detected by immunohistochemistry(IHC)in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021.The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed.A survival prediction model for patients with resectable CCA was constructed with COX regression results,the calibration curve and the time-dependent receiver operating characteristic curve(ROC)were used to evaluate the performance of the constructed model,and the predictive power between this model and the American Joint Committee on Cancer(AJCC)/TNM staging system(8th edition)was compared.Results:SIRT2 mRNA was overexpressed in CCA tissues as shown in TCGA and GEO databases.IHC staining showed that SIRT2 protein expression in CCA tissues was significantly higher than that in adjacent non-tumor tissues.GSEA results showed that elevated SIRT2 expression may be involved in multiple metabolism-related signaling pathway,such as fatty acid metabolism,oxidative phosphorylation and amino acid metabolism.SIRT2 expression was related to serum triglycerides level,tumor size and lymph node metastasis(all P<0.05).The survival analysis results showed that patients with higher SIRT2 expression had a significantly lower overall survival(OS)than patients with lower SIRT2 expression(P<0.05).Univariate COX regression analysis suggested that pathological differentiation,clinical stage,postoperative treatment and SIRT2 expression level were associated with the prognosis of CCA patients(all P<0.05).Multivariate regression analysis confirmed that clinical stage and SIRT2 expression level were independent predictors of OS in postoperative CCA patients(both P<0.05).A nomogram based on SIRT2 for prediction of survival in postoperative CCA patients was constructed.The C-index of the model was 0.675,and the area under the time-dependent ROC curve(AUC)for predicting survival in the first,second,and third years was 0.879,0.778,and 0.953,respectively,which were superior to those of AJCC/TNM staging system(8th Edition).Conclusions:SIRT2 is highly expressed in CCA tissues,which is associated with poor prognosis in patients with resectable CCA.The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system(8th edition)in prediction of survival of postoperative CCA patients.