Objective:To establish the predictive model for major adverse cardiovascular events(MACE) following endovascular repair in elderly patients with abdominal aortic aneurysm(AAA).Methods:The clinical data and postoperative MACE were retrospectively collected from elderly patients with AAA who underwent their first endovascular aneurysm repair(EVAR)in Beijing Hospital and Tibet Autonomous Region People's Hospital between January 2016 and December 2023.Patients were randomly divided into training and validation cohorts at a ratio of 7∶3.Predictive models were using logistic regression, LASSO regression, random forest, linear discriminant analysis, na?ve Bayes, k-nearest neighbor algorithm, support vector machine, decision tree, and AdaBoost.Models were evaluated using receiver operating characteristic(ROC)curves.Results:A total of 171 elderly AAA patients were enrolled, aged 60 to 94 years(mean 73.0 ± 7.5 years), of whom 145 were male.MACE occurred after EVAR in 30 patients(17.5%). LASSO regression identified monocyte count, history of coronary artery disease, the ratio of maximum AAA diameter to body mass index(DBR), neutrophil-lymphocyte count ratio(NLR), and age as significant predictors, yielding an area under the ROC curve(AUC)of 0.816.Logistic regression achieved an AUC of 0.813 in the training cohort and 0.772 in the validation cohort.Among all models, AdaBoost demonstrated the best performance, with an AUC of 0.92 in the validation cohort.Conclusions:Age, monocyte count, DBR, NLR and creatinine could predict the occurrence of MACE after EVAR in AAA patients.The AdaBoost model provides the most accurate prediction of postoperative MACE.

Objective To investigate the influencing factors for early hematoma enlargement(HE)in patients with spontaneous intracerebral hemorrhage(SICH).Methods A total of 311 pa-tients with SICH were selected as research subjects.Based on the occurrence of HE,they were divided into enlargement group and non-enlargement group.Clinical assessment indicators of patients with SICH were collected,and general information between the two groups was compared.The influencing factors for the occurrence of HE in patients with SICH were analyzed.Results Based on the presence of HE at a second CT examination within 6 to 12 hours,311 patients with SICH were divided into en-largement group(n=97)and non-enlargement group(n=214).Univariate analysis revealed signifi-cant differences between the two groups in terms of initial hematoma volume,regularity of hematoma margin,Glasgow Coma Scale(GCS)score,coagulation function,as well as the presence of swirl sign,lobulation sign,black hole sign,blend sign,lymphocyte count and neutrophil count(P＜0.05).Multivariate analysis indicated that GCS score,initial hematoma volume,history of antithrom-botic drug use,abnormal coagulation function and intracranial CT signs were independent influencing factors for HE(P＜0.05).Conclusion The occurrence of HE in patients with SICH is closely re-lated to GCS score,initial hematoma volume,history of antithrombotic drug use,abnormal coagulation function and intracranial CT signs.

Objective:To establish the predictive model for major adverse cardiovascular events(MACE) following endovascular repair in elderly patients with abdominal aortic aneurysm(AAA).Methods:The clinical data and postoperative MACE were retrospectively collected from elderly patients with AAA who underwent their first endovascular aneurysm repair(EVAR)in Beijing Hospital and Tibet Autonomous Region People's Hospital between January 2016 and December 2023.Patients were randomly divided into training and validation cohorts at a ratio of 7∶3.Predictive models were using logistic regression, LASSO regression, random forest, linear discriminant analysis, na?ve Bayes, k-nearest neighbor algorithm, support vector machine, decision tree, and AdaBoost.Models were evaluated using receiver operating characteristic(ROC)curves.Results:A total of 171 elderly AAA patients were enrolled, aged 60 to 94 years(mean 73.0 ± 7.5 years), of whom 145 were male.MACE occurred after EVAR in 30 patients(17.5%). LASSO regression identified monocyte count, history of coronary artery disease, the ratio of maximum AAA diameter to body mass index(DBR), neutrophil-lymphocyte count ratio(NLR), and age as significant predictors, yielding an area under the ROC curve(AUC)of 0.816.Logistic regression achieved an AUC of 0.813 in the training cohort and 0.772 in the validation cohort.Among all models, AdaBoost demonstrated the best performance, with an AUC of 0.92 in the validation cohort.Conclusions:Age, monocyte count, DBR, NLR and creatinine could predict the occurrence of MACE after EVAR in AAA patients.The AdaBoost model provides the most accurate prediction of postoperative MACE.

Objective To retrospectively analyze echocardiography findings and left hearst function in patients with patent ductus arteriosus (PDA) after transcatheter closure. Methods 28 patients admitted between January 2012 and December 2012 in our hospital for PDA transcatheter closure were included. Assessment of cardiac structure, hemodynamics and cardiac function parameters during preoperation and in postoperation 3 days, 1 month and 6 months were studied. Results Statistical significant difference was found at 3 days, 1 month and 6 months postoperation when compared with pre-operation in terms of left atrial diameter, left ventricular end-diastolic diameter, left ventricular end systolic diameter and other doppler measurements ( all P < 0. 05 ) . Six-minute walk test ( 6MWT) tolerance improved when compared to preoperation level (P < 0. 05). Better improvement in LVEF and LVES was observed in patients age ≤14 years old when compared to patients > 14 years old after operation ( P < 0. 05 ) . Conclusions Transcatheter closure of PDA can improve cardiac function and correct early hemodynamic abnormalities patients in younger age group show more benefit from the procedure.