Objective To investigate the relationship of triglyceride-glucose(TyG)index and atherogenic index of plasma(AIP)with positive remodeling of coronary arteries in elderly coro-nary heart disease(CHD)patients with concomitant type 2 diabetes mellitus(T2DM).Methods A total of 120 elderly CHD patients with concomitant T2DM admitted to our department from January 2022 to June 2023 were continuously recruited,and according to the remodeling index,they were divided into positive remodeling group(47 cases)and non-positive remodeling group(73 cases).The clinical data were compared between the two groups.Multivariate logistic analysis was used to identify the risk factors for positive remodeling of coronary artery.Spearman correla-tion analysis was employed to analyze the correlation of TyG and AIP with positive remodeling.ROC curve was plotted to analyze the predictive value of TyG and AIP for the remodeling.Results The positive remodeling group had larger ratio of smoking,higher TG and HbA1c levels,and in-creased TyG index and AIP,but lower HDL-C and blood calcium levels than the non-positive re-modeling group(P＜0.05,P＜0.01).Univariate logistic regression analysis showed that smoking,TG,HDL-C,HbA1c,blood calcium,TyG and AIP were risk factors for positive coronary artery remodeling in elderly patients with CHD and T2DM(P＜0.05,P＜0.01).Multivariate logistic re-gression analysis showed that TyG index(OR=7.253,95％CI:2.458-13.364,P=0.035)and AIP(OR=6.017,95％CI:2.205-12.025,P=0.030)were independent risk factors for positive coronary artery remodeling in elderly patients with CHD and T2DM(P＜0.05).The AUC value of TyG index and AIP in predicting positive coronary artery remodeling in elderly CHD patients with T2DM was 0.783 and 0.766,respectively,and the value of their combination in the prediction was 0.868,which was significantly better than the indicator alone(P＜0.05).Conclusion TyG in-dex and AIP are closely associated with positive coronary artery remodeling in elderly CHD pa-tients with T2DM,and can be used as effective indicators in the prediction of positive remodeling,which is of great significance for early clinical identification of high-risk patients and formulation of individual intervention strategies.

Objective To investigate the value of machine learning models based on contrast-enhanced CT radiomics in differentia-ting renal oncocytoma(RO)from chromophobe renal cell carcinoma(chRCC).Methods A total of 65 patients with RO and chRCC confirmed by pathology with complete clinical and imaging data were analyzed retrospectively.The patients were randomly divided into training set(n=45)and test set(n=20)according to a ratio of 7︰3.The tumor boundaries were delineated on the preoperative CT images using 3D Slicer software,and radiomics features were extracted using the Radiomics plugin.Univariate analysis,recursive fea-ture elimination(RFE),least absolute shrinkage and selection operator(LASSO)algorithms were used to select the best radiomics features.Three machine learning models were constructed on the training set and the grid search method was used to select the best combination of hyperparameters.The receiver operating characteristic(ROC)curve,calibration curve and decision curve were used to evaluate the performance of each machine learning model on the training set and test set.Results Random forest model,logistic regres-sion model and support vector machine model can better identify RO and chRCC.In the training set,the area under the curve(AUC)of random forest model and support vector machine model were 0.950[95%confidence interval(CI)0.901-0.998]and 0.955(95%CI 0.908-1.000),respectively,which were higher than the AUC of logistic regression model 0.882(95%CI 0.806-0.956).Statistical differences were found by DeLong test(P<0.05);In the test set,the AUC of random forest model,logistic regression model and support vector machine model were 0.876(95%CI 0.758-0.993),0.883(95%CI 0.768-0.997)and 0.883(95%CI 0.768-0.997),respectively.There was no significant statistical difference in the AUC of each model by DeLong test(P>0.05).The decision curve showed that all three models had significant net clinical benefits.Conclusion The machine learning model based on contrast-enhanced CT radiomics can effectively distinguish RO from chRCC.

Objective To investigate the value of machine learning models based on contrast-enhanced CT radiomics in differentia-ting renal oncocytoma(RO)from chromophobe renal cell carcinoma(chRCC).Methods A total of 65 patients with RO and chRCC confirmed by pathology with complete clinical and imaging data were analyzed retrospectively.The patients were randomly divided into training set(n=45)and test set(n=20)according to a ratio of 7︰3.The tumor boundaries were delineated on the preoperative CT images using 3D Slicer software,and radiomics features were extracted using the Radiomics plugin.Univariate analysis,recursive fea-ture elimination(RFE),least absolute shrinkage and selection operator(LASSO)algorithms were used to select the best radiomics features.Three machine learning models were constructed on the training set and the grid search method was used to select the best combination of hyperparameters.The receiver operating characteristic(ROC)curve,calibration curve and decision curve were used to evaluate the performance of each machine learning model on the training set and test set.Results Random forest model,logistic regres-sion model and support vector machine model can better identify RO and chRCC.In the training set,the area under the curve(AUC)of random forest model and support vector machine model were 0.950[95%confidence interval(CI)0.901-0.998]and 0.955(95%CI 0.908-1.000),respectively,which were higher than the AUC of logistic regression model 0.882(95%CI 0.806-0.956).Statistical differences were found by DeLong test(P<0.05);In the test set,the AUC of random forest model,logistic regression model and support vector machine model were 0.876(95%CI 0.758-0.993),0.883(95%CI 0.768-0.997)and 0.883(95%CI 0.768-0.997),respectively.There was no significant statistical difference in the AUC of each model by DeLong test(P>0.05).The decision curve showed that all three models had significant net clinical benefits.Conclusion The machine learning model based on contrast-enhanced CT radiomics can effectively distinguish RO from chRCC.

Objective To investigate the relationship of triglyceride-glucose(TyG)index and atherogenic index of plasma(AIP)with positive remodeling of coronary arteries in elderly coro-nary heart disease(CHD)patients with concomitant type 2 diabetes mellitus(T2DM).Methods A total of 120 elderly CHD patients with concomitant T2DM admitted to our department from January 2022 to June 2023 were continuously recruited,and according to the remodeling index,they were divided into positive remodeling group(47 cases)and non-positive remodeling group(73 cases).The clinical data were compared between the two groups.Multivariate logistic analysis was used to identify the risk factors for positive remodeling of coronary artery.Spearman correla-tion analysis was employed to analyze the correlation of TyG and AIP with positive remodeling.ROC curve was plotted to analyze the predictive value of TyG and AIP for the remodeling.Results The positive remodeling group had larger ratio of smoking,higher TG and HbA1c levels,and in-creased TyG index and AIP,but lower HDL-C and blood calcium levels than the non-positive re-modeling group(P＜0.05,P＜0.01).Univariate logistic regression analysis showed that smoking,TG,HDL-C,HbA1c,blood calcium,TyG and AIP were risk factors for positive coronary artery remodeling in elderly patients with CHD and T2DM(P＜0.05,P＜0.01).Multivariate logistic re-gression analysis showed that TyG index(OR=7.253,95％CI:2.458-13.364,P=0.035)and AIP(OR=6.017,95％CI:2.205-12.025,P=0.030)were independent risk factors for positive coronary artery remodeling in elderly patients with CHD and T2DM(P＜0.05).The AUC value of TyG index and AIP in predicting positive coronary artery remodeling in elderly CHD patients with T2DM was 0.783 and 0.766,respectively,and the value of their combination in the prediction was 0.868,which was significantly better than the indicator alone(P＜0.05).Conclusion TyG in-dex and AIP are closely associated with positive coronary artery remodeling in elderly CHD pa-tients with T2DM,and can be used as effective indicators in the prediction of positive remodeling,which is of great significance for early clinical identification of high-risk patients and formulation of individual intervention strategies.

ObjectiveTo observe the efficacy and safety of Uyghur medicine Yangxin Dawayimixike Honey Paste （养心达瓦依米西克蜜膏， YDMHP） in the treatment of stable angina pectoris （SAP） of qi stagnation and blood stasis syndrome. MethodsA randomized ， double-blind， positive-controlled，multi-center clinical trial was conducted， in which 370 patients with SAP of qi stagnation and blood stasis syndrome were randomly divided into treatment group（279 cases）and control group（91cases）at a ratio of 3∶1. The treatment group was orally administered with YDMHP， 3 g each time， and placebo of Xuefu Zhuyu Capsule （血府逐瘀胶囊）， 2.4 g each time， while the control group was treated with Xuefu Zhuyu Capsule， 2.4 g each time， and placebo of YDMHP， 3 g each time， both twice a day for a course of 12 weeks. The primary outcome was the effect of angina pectoris symptom. The secondary outcomes include single angina symptom scores such as number of attacks， duration of attacks， pain intensity and usae of nitroglycerin scores， the total angina symptom score before and after the treatment， the usage of nitroglycerin， the exercise duration in treadmill exercise test （TET） and the Duck treadmill score among patients，the scores of Seattle Angina Questionnaire （SAQ） on five dimensions including physical limitations， anginal stability， anginal frequency， treatment satisfaction， and disease perception， and efficacy of TCM syndrome and of each single TCM symptom after treatment. The safety were evaluated by examine blood routine， urine routine， liver and kidney function， fasting blood sugar， electrocardiogram， adverse events. ResultsThe total effective rate of angina symptom in the treatment group was 71.69% （200/279）， significantly higher than 51.64% （47/91） in the control group （P＜0.01）. The curative and markedly effective rate of TCM syndrome in the treatment group was 53.05% （148/279）， which was significantly higher than 25.27% （23/91） in the control group （P＜0.01）. After treatment， scores of the number as well as duration of angina attacks and pain severity， the total score of angina symptoms， and the usage of nitroglycerin significantly decreased in both groups， and more changes were seen in the treatment group than in the control group； the scores of physical limitations， anginal stability， anginal frequency， treatment satisfaction， and disease perception in both groups significantly increased， and more improvement were shown in the experimental group regarding the anginal stability， anginal frequency and treatment satisfaction （P＜0.05 or P＜0.01）. The effects of chest pain， chest tightness， palpitation， shortness of breath and fatigue in experimental group were significantly higher than those in control group （P＜0.05 or P＜0.01）. There was no significant difference in the exercise duration of treadmill test and Duke score among patients between the two groups either before or after treatment （P＞0.05）. Adverse events occurred in 66 cases （23.66%） of the experimental group and 16 cases （17.58%） of the control group， with no statistical significance between the two groups （P＞0.05）. ConclusionThe Uyghur medicine YDMHP can effectively improve symptoms of angina pectoris， reduce the number， duration， and intensity of attacks， decrease the dosage of nitrogly-cerin and improve the individual TCM symptoms and has good safety in the treatment of SAP patients of qi stagnation and blood stasis.

Objective:To investigate the clinical value of serum miR-208a in early differential diagnosis of acute coronary syndrome(ACS).Methods:One hundred ACS patients admitted to our department from January 2016 to January 2018 were randomly divided into the non-ST elevation myocardial infarction(NSTEMI)group(n=50)and the unstable angina(UA)group(n=50). Fifty healthy people during the same period were included as the control group(control). Serum levels of miR-208a, cardiac troponin-T(cTnT)and creatine kinase MB isoenzyme(CK-MB)were detected immediately, 4 h, 12 h and 24 h after admission and compared among the three groups of NSTEMI, UA and control.Receiver operating characteristic(ROC)curve was used to analyze the early diagnostic value of above serum indexes in NSTEMI and UA group, and the correlations of miR-208a level with cTnT and CK-MB were analyzed.Results:Serum miR-208a and cTnT levels had significant differences( P<0.05), while serum CK-MB level had no significant difference( P>0.05)among the NSTEMI and UA groups immediately after admission and the control group in the fasting state.There were significant differences in serum miR-208a, cTnT and CK-MB levels between NSTEMI group and UA group at different time points( P<0.05). After further multiple comparisons, the results showed that serum miR-208a and cTnT levels had statistical differences( P<0.05)and serum CK-MB level had no difference( P>0.05)between the NSTEMI group and the UA group immediately after admission.The above three biochemical indexes showed statistically significant differences between the NSTEMI group and the UA group at 4 h, 12 h and 24 h after admission( P<0.05). ROC curve analysis showed that miR-208a had a high diagnostic value in ACS(AUC>0.9, P=0.004), and the best diagnostic cut-off point was 9.278.The cTnT had a medium diagnostic value in ACS(0.70.05). Conclusions:Serum miR-208a has a higher value in early diagnosis of ACS than cTnT and CK-MB, and it has a better differentiation ability of NSTEMI than UA.

OBJECTIVE: To investigate the computed tomography findings, clinicopathological features, genetic characteristics and prognosis of in situ adenocarcinoma (AIS) and minimally invasive adenocarcinoma (MIA) of the lung. METHODS: We retrospectively analyzed the data including computed tomography (CT) images, histopathological findings, Ki-67 immunostaining, and genetic mutations in patients with lung adenocarcinoma undergoing surgery at our hospital between 2014 and 2019. RESULTS: Of the total of 480 patients with lung adenocarcinoma we reviewed, 73 (15.2%) had AIS (=28) or MIA (=45) tumors. The age of the patients with MIA was significantly younger than that of patients with AIS ( < 0.02). CT scans identified pure ground-glass nodules in 46.4% of AIS cases and in 44.4% of MIA cases. Multiple GGOs were more common in MIA than in AIS cases ( < 0.05), and bluured tumor margins was less frequent in AIS cases ( < 0.05). No significant difference was found in EGFR mutations between MIA and AIS cases. A Ki-67 labeling index (LI) value ≥2.8% did not differentiate MIA from AIS. The follow-up time in MIA group was significantly shorter than that in AIS group, but no recurrence or death occurred. CONCLUSIONS Despite similar surgical outcomes and favorable survival outcomes, the patients with AIS and MIA show differences in terms of age, CT findings, EGFR mutations and Ki-67 LI.
Adenocarcinoma of Lung ; diagnostic imaging ; pathology ; ErbB Receptors ; genetics ; Humans ; Ki-67 Antigen ; genetics ; Lung Neoplasms ; diagnostic imaging ; pathology ; Mutation ; Prognosis ; Retrospective Studies ; Tomography, X-Ray Computed

Objective To investigate the correlation between myeloperoxidase(MPO)levels and adverse cardiac events in patients undergoing coronary stent implantation.Methods A total of 76 patients undergoing coronary stent implantation from January 2015 to June 2016 in the cardiac surgery department of our hospital were enrolled in this study.Serum levels of MPO,high sensitivity C-reactive protein(hs-CRP),and interleukin 6 (IL-6)were detected by enzyme-linked immunosorbent assays(ELISA).After a one-year follow-up,the receiver operating characteristic(ROC)curve was used to determine the predictive value of the difference in MPO before and after the operation(△MPO)on the long-term prognosis of patients after coronary stent implantation.The correlations of △MPO with the traditional risk factors for coronary heart disease and adverse cardiac events were analyzed using multi factor Logistic regression analysis.Results Serum levels of MPO,hs-CRP and IL 6 increased in patients after coronary stent implantation,compared with those before treatment (P ＜ 0.05).The results of ROC curve analysis showed that the area under the curve(AUC)value of serum △MPO was 0.786,the 95 ％ confidence interval was 0.471～ 1.000 and the predictive value of serum △MPO for adverse cardiac events was significant(P ＜0.05).There was a significant correlation between △MPO and age,and the incidence of adverse cardiac events increased with increased △MPO levels.Logistic regression analysis showed that serum △MPO levels could preliminarily diagnose the cardiovascular risk after coronary stent implantation and independently predict the occurrence of adverse cardiac events.Conclusions MPO levels in peripheral blood are notably elevated in patients after coronary stent implantation when compared with pre-treatment levels.Serum △MPO levels can preliminarily diagnose adverse cardiac events after coronary stent implantation and can be used as a marker to predict adverse cardiac events.