ObjectiveTo construct a scale for the diagnosis of chronic atrophic gastritis （CAG） with turbid toxin accumulating in the stomach. MethodsFirst， a research group was established to construct the scale framework. Relevant literature of CAG with syndrome of turbid toxin accumulating in the stomach was searched in CNKI， Wanfang Database （WF）， and VIP Database （CQVIP） from April 1， 2003 to April 1， 2023， and items were preliminarily selected after standardization of terms. Through clinical investigation， the discrete trend method， correlation coefficient method， Cronbach's coefficient method， and factor analysis method were used to screen symptom items， and the frequency method was used to screen signs， tongue coating， and pulse conditions. Three rounds of Delphi expert consultation were conducted to determine the items of the scale. The weight of each item was obtained by the analytic hierarchy process. ResultsA total of 49 articles were included， and 45 items were obtained after primary screening， including 28 symptoms， 2 signs， 10 tongue coatings， and 5 pulse conditions. After clinical investigation， 15 symptoms were retained， and 8 signs and pulse conditions of tongue coating were retained. The positive coefficients of experts in three rounds of Delphi expert consultation were 100%， 96.67%， and 100%， respectively. The expert authority coefficients were 0.86， 0.87， and 0.87， respectively， and the coordination coefficients were 0.18， 0.25， and 0.30. After core group discussion， Delphi method investigation， and AHP weight assignment， the diagnostic scale items of CAG with turbid toxin accumulating in stomach syndrome were finally established， namely， dark red or purplish tongue proper with yellow greasy （or dry） coating （30 points）， epigastric stuffiness and fullness or pain （15 points）， sticky and unsmooth defecation （10 points）， taste disturbance （sticky mouth， fetid breath， bitter taste， 7 points）， heartburn or acid regurgitation （6 points）， dizziness and clouding （5 points）， general heaviness and fatigue （5 points）， slippery， string‑slippery， or slippery‑rapid pulse （5 points）， dysuria （or yellow or deep yellow urine， 4 points）， poor appetite （4 points）， dull complexion （3 points）， sticky， greasy， and fetid secretions （3 points）， and poor sleep （3 points）. ConclusionBased on the establishment， screening， confirmation， and weighting of an item pool， combined with subjective and objective approaches as well as qualitative and quantitative methods， a diagnostic scale for CAG with the syndrome of turbid toxin accumulating in the stomach was successfully constructed.

Objective:To evaluate the left ventricular（LV）function in heart transplant（HTx）patients with post-transplant diabetes（PTDM），and to examine the relevance of PTDM and LV function to the patient's prognosis.Methods:Two hundred and thirteen adult HTx patients who underwent echocardiography at Union Hospital，Tongji Medical College，Huazhong University of Science and Technology between January 2018 and January 2022 were prospectively included. The patients were divided into PTDM group（ n=86）and Non-PTDM group（ n=127）. LV function parameters were acquired using conventional and two-dimensional speckle-tracking echocardiography（2D-STE），and were compared between the two groups. The primary endpoints included all-cause mortality or transplant-related readmission. Results:Compared with Non-PTDM group，the LV mass of PTDM group was higher，the LV ejection fraction，LV global longitudinal strain（GLS），peak systolic global longitudinal strain rate，and early diastolic global longitudinal strain rate（dGLSr）were lower（all P＜0.05）. After a median follow-up period of 37.6（29.3）months，27 patients experienced clinical events. A multivariate analysis revealed that PTDM（ HR=2.198，95% CI=1.018-4.743， P=0.045）and low GLS（ HR=6.456，95% CI=2.889-14.426， P＜0.001）were independent predictors of adverse clinical events after adjustment for dGLSr，body mass index and age. After subdividing the two groups into 4 subgroups by the cutoff value of GLS（16.5%），the prognosis was worst for HTx patients with PTDM and low GLS. Conclusions:HTx patients with PTDM have worse LV systolic and diastolic function than those without PTDM. Management of HTx patients with PTDM may be improved using GLS guidance.

The emergence of generative pre-training transformer(GPT)and large language models(LLMs)has brought transformative applications to the medical field.In traditional Chinese medicine,LLMs offer unique opportunities to address in efficiencies in clinical workflows and improve the patient experience.However,the seprospects have challenges,including data quality,security and privacy,disinformation,ethics,and other issues.This paper systematically elaborates on the application of Large Language Models(LLMs)in Traditional Chinese Medicine(TCM),highlighting their value in improving TCM services,enhancing teaching effectiveness,and optimizing healthcare management processes,while conducting an in-depth analysis of potential technical and ethical challenges during real-world implementation.Preventive measures are necessary to ensure the safe and unbiased use of large language models in TCM clinical practice.We encourage clinicians and researchers to address current challenges and optimize largelanguage models while reducing associated risks.The deployment and implementation of large language models in TCM clinical practice will significantly contribute to the dissemination and development of TCM culture.

The emergence of generative pre-training transformer(GPT)and large language models(LLMs)has brought transformative applications to the medical field.In traditional Chinese medicine,LLMs offer unique opportunities to address in efficiencies in clinical workflows and improve the patient experience.However,the seprospects have challenges,including data quality,security and privacy,disinformation,ethics,and other issues.This paper systematically elaborates on the application of Large Language Models(LLMs)in Traditional Chinese Medicine(TCM),highlighting their value in improving TCM services,enhancing teaching effectiveness,and optimizing healthcare management processes,while conducting an in-depth analysis of potential technical and ethical challenges during real-world implementation.Preventive measures are necessary to ensure the safe and unbiased use of large language models in TCM clinical practice.We encourage clinicians and researchers to address current challenges and optimize largelanguage models while reducing associated risks.The deployment and implementation of large language models in TCM clinical practice will significantly contribute to the dissemination and development of TCM culture.

Objective:To evaluate the left ventricular（LV）function in heart transplant（HTx）patients with post-transplant diabetes（PTDM），and to examine the relevance of PTDM and LV function to the patient's prognosis.Methods:Two hundred and thirteen adult HTx patients who underwent echocardiography at Union Hospital，Tongji Medical College，Huazhong University of Science and Technology between January 2018 and January 2022 were prospectively included. The patients were divided into PTDM group（ n=86）and Non-PTDM group（ n=127）. LV function parameters were acquired using conventional and two-dimensional speckle-tracking echocardiography（2D-STE），and were compared between the two groups. The primary endpoints included all-cause mortality or transplant-related readmission. Results:Compared with Non-PTDM group，the LV mass of PTDM group was higher，the LV ejection fraction，LV global longitudinal strain（GLS），peak systolic global longitudinal strain rate，and early diastolic global longitudinal strain rate（dGLSr）were lower（all P＜0.05）. After a median follow-up period of 37.6（29.3）months，27 patients experienced clinical events. A multivariate analysis revealed that PTDM（ HR=2.198，95% CI=1.018-4.743， P=0.045）and low GLS（ HR=6.456，95% CI=2.889-14.426， P＜0.001）were independent predictors of adverse clinical events after adjustment for dGLSr，body mass index and age. After subdividing the two groups into 4 subgroups by the cutoff value of GLS（16.5%），the prognosis was worst for HTx patients with PTDM and low GLS. Conclusions:HTx patients with PTDM have worse LV systolic and diastolic function than those without PTDM. Management of HTx patients with PTDM may be improved using GLS guidance.

Taking chronic atrophic gastritis （CAG） as an example， the frontier technologies in data science have been introduced into the inheritance， innovation and development of traditional Chinese medicine （TCM）， providing reference for conducting real-world clinical research on specialized diseases of TCM. This paper put forward the construction of CAG data science system by elaborating the connotation of data science and its application value in TCM， and discussed the path to build CAG data science system， namely through "data acquisition-knowledge expression-knowledge reasoning" to establish CAG database， knowledge base and develop diagnosis platform differentiating diseases and syndromes. Besides， this paper analyzed the prospects of CAG data science in improving data governance ability and knowledge discovery efficiency， deepening the level of knowledge sharing， promoting interdisciplinary integration， and strengthening the integration process of industry， academia and research.

Objective To investigate the predictive value of serum Actinin-4 and N-myc downscream regu-lated gene 4(NDRG4)for recurrence and metastasis in early stage lung cancer patients.Methods A total of 110 patients who underwent early lung cancer radical surgery in the hospital from January 2020 to January 2022 were collected as the study subjects.They were separated into a recurrence group of 62 patients and a non recurrence group of 48 patients based on whether they experienced recurrence or metastasis during a one-year follow-up.Enzyme-linked immunosorbnent assay(ELISA)method was applied to detect serum Actinin-4 and NDRG4 levels.Pearson and Spearman methods were used for correlation analysis.Logistic regression was applied to analyze the influencing factors of recurrence and metastasis in early stage lung cancer patients after radical surgery.Receiver operating characteristic(ROC)curve was applied to analyze the predictive value of serum Actinin-4 and NDRG4 levels for recurrence and metastasis in early stage lung cancer patients after radi-cal surgery.Results Compared with the non recurrence group,the serum Actinin-4 level in the recurrence group was obviously increased,while the NDRG4 level was obviously reduced,and there was a obvious differ-ence in TNM staging and lymph node metastasis between the two groups(P＜0.05).Pearson analysis showed that there was a negative correlation between serum Actinin-4 and NDRG4 levels in the recurrence group(r=-0.566,P＜0.05).Spearman analysis showed that Actinin-4 was positively correlated with lymph node me-tastasis and clinical staging(r=0.429,0.396,P＜0.05),while NDRG4 was negatively correlated with lymph node metastasis and clinical staging(r=-0.411,-0.431,P＜0.05).Logistic regression analysis showed that lymph node metastasis,clinical staging,Actinin-4,and NDRG4 levels could all be used as influencing fac-tors for postoperative recurrence and metastasis in early stage lung cancer patients after radical surgery(P＜0.05).ROC curve analysis showed that the area under the curve(AUC)of serum Actinin-4 and NDRG4 in predicting postoperative recurrence and metastasis in early stage lung cancer patients after radical surgery was 0.857 and 0.848,respectively,and the AUC of combined prediction was 0.950,which was better than those of the two single predictions(P＜0.05).Conclusion Serum Actinin-4 level increases and NDRG4 level decrea-ses in early stage lung cancer patients with postoperative recurrence and metastasis after radical surgery.The combined detection of the two could serve as an auxiliary indicator for predicting postoperative recurrence and metastasis in early stage lung cancer patients after radical surgery.

Objective To observe the value of deep learning(DL)models for automatic classification of echocardiographic views.Methods Totally 100 patients after heart transplantation were retrospectively enrolled and divided into training set,validation set and test set at a ratio of 7∶2∶1.ResNet18,ResNet34,Swin Transformer and Swin Transformer V2 models were established based on 2D apical two chamber view,2D apical three chamber view,2D apical four chamber view,2D subcostal view,parasternal long-axis view of left ventricle,short-axis view of great arteries,short-axis view of apex of left ventricle,short-axis view of papillary muscle of left ventricle,short-axis view of mitral valve of left ventricle,also 3D and CDFI views of echocardiography.The accuracy,precision,recall,F1 score and confusion matrix were used to evaluate the performance of each model for automatically classifying echocardiographic views.The interactive interface was designed based on Qt Designer software and deployed on the desktop.Results The performance of models for automatically classifying echocardiographic views in test set were all good,with relatively poor performance for 2D short-axis view of left ventricle and superior performance for 3D and CDFI views.Swin Transformer V2 was the optimal model for automatically classifying echocardiographic views,with high accuracy,precision,recall and F1 score was 92.56％,89.01％,89.97％and 89.31％,respectively,which also had the highest diagonal value in confusion matrix and showed the best classification effect on various views in t-SNE figure.Conclusion DL model had good performance for automatically classifying echocardiographic views,especially Swin Transformer V2 model had the best performance.Using interactive classification interface could improve the interpretability of prediction results to some extent.

Objective:To evaluate the efficacy of the domestic D-Shant device for the treatment of patients with chronic heart failure (CHF) using echocardiography.Methods:Twenty-four CHF patients who were treated with domestic D-Shant device in Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from September 2020 to December 2021 were enrolled in the study. Pulmonary capillary wedge pressure (PCWP)/ left atrial pressure (LAP), right atrial pressure (RAP), pulmonary artery pressure, interatrial septal gradient pressure, cardiac index and pulmonary/systemic blood flow ratio (Qp/Qs) were measured before and after implantation using right heart catheterization.Left atrial end-diastolic area index (LAEDAI), left atrial end-diastolic volume index (LAEDVI), left ventricular end-diastolic volume index (LVEDVI), left ventricular end-systolic volume index (LVESVI), left ventricular ejection fraction (LVEF), right atrial end-diastolic diameter, right ventricular end-diastolic diameter, tricuspid annular plane systolic excursion (TAPSE), right ventricular tractional area change (RVFAC), device shunt aperture, velocity and pressure, together with mitral and tricuspid regurgitation severity were measured using echocardiography before, and 1 month as well as 3 months after D-Shant device implantation. Clinical data were collected and analyzed including 6-minute walking test (6MWT), New York Heart Association (NYHA) classification and the Kansas City Cardiomyopathy Questionnaire (KCCQ). Spearman correlation analysis was used to determine the relation between the changes in PCWP/LAP as well as echocardiographic parameters before and 3 months after implantation and NYHA classification. Binary Logistic regression analysis was performed to determine the predictive factors of NYHA classification improvement at 3-month follow-up after D-Shant device implantation.Results:①D-Shant devices were successfully implanted in all patients. ②Compared with preoperative values, invasive PCWP/LAP systolic, diastolic and mean pressures, transatrial septal gradient, and pulmonary systolic, diastolic and mean pressures decreased significantly after implantation(all P<0.001); Qp/Qs increased significantly after implantation( P<0.001). ③Compared with preoperative values, TAPSE, RVFAC and pulmonary artery flow velocity increased at 1 month after implantation(all P<0.05), whereas a significant reduction in mitral regurgitation grade, and an increase in LVEF and pulmonary artery flow velocity at 3 months after implantation(all P<0.05). Right atrial end-diastolic diameter, right ventricular end-diastolic diameter, LAEDAI, LAEDVI, LVEDVI, LVESVI, ratio of early to late diastolic peak velocities of mitral inflow(E/A), systolic peak velocity of mitral annulus at septal site(S′), ratio of early diastolic peak velocity of mitral inflow to diastolic peak velocity of mitral annulus(E/e′), pulmonary artery diameter, inferior vena cava diameter and degree of tricuspid regurgitation did not change among before, and 1 month as well as 3 months after implantation. There were no significant changes in the device shunt aperture, velocity and pressure between 1 month and 3 months after implantation(all P>0.05). ④The significant improvements in NYHA classification, KCCQ scores and 6MWT were observed at 1 and 3 months after implantation compared with preoperative values (all P<0.01). ⑤NYHA classification at 3 months after implantation was correlated with LVEF pre-post, PCWP/LAP pre-post, TAPSE pre-post and RVFAC pre-post ( rs=0.738, -0.730, 0.738, 0.723; all P<0.001). Logistic regression analysis showed that LVEF pre-post was an independent predictor for NYHA classification improvement at 3 months after implantation ( OR=0.687, 95% CI=0.475-0.992, P=0.045) . Conclusions:Domestic D-Shant device can effectively improve the cardiac function and clinical symptoms in patients with CHF. Echocardiography is a feasible and effective method to evaluate the benefits of domestic D-Shant device for the treatment of CHF.

PURPOSE: Enhanced recovery after surgery (ERAS) protocols for gastric cancer patients have shown improved outcomes in Asia. However, data on gastric cancer ERAS (GC-ERAS) programs in the United States are sparse. The purpose of this study was to compare perioperative outcomes before and after implementation of an GC-ERAS protocol at a National Comprehensive Cancer Center in the United States. MATERIALS AND METHODS: We reviewed medical records of patients surgically treated for gastric cancer with curative intent from January 2012 to October 2016 and compared the GC-ERAS group (November 1, 2015–October 1, 2016) with the historical control (HC) group (January 1, 2012–October 31, 2015). Propensity score matching was used to adjust for age, sex, number of comorbidities, body mass index, stage of disease, and distal versus total gastrectomy. RESULTS: Of a total of 95 identified patients, matching analysis resulted in 20 and 40 patients in the GC-ERAS and HC groups, respectively. Lower rates of nasogastric tube (35% vs. 100%, P < 0.001) and intraabdominal drain placement (25% vs. 85%, P < 0.001), faster advancement of diet (P < 0.001), and shorter length of hospital stay (5.5 vs. 7.8 days, P=0.01) were observed in the GC-ERAS group than in the HC group. The GC-ERAS group showed a trend toward increased use of minimally invasive surgery (P=0.06). There were similar complication and 30-day readmission rates between the two groups (P=0.57 and P=0.66, respectively). CONCLUSIONS: The implementation of a GC-ERAS protocol significantly improved perioperative outcomes in a western cancer center. This finding warrants further prospective investigation.
Asia ; Body Mass Index ; Comorbidity ; Diet ; Gastrectomy ; Humans ; Length of Stay ; Medical Records ; Minimally Invasive Surgical Procedures ; Propensity Score ; Prospective Studies ; Stomach Neoplasms* ; United States