Background Chordae reconstruction is one of the key points in repair of mitral valve prolapse, especially for anterior leaflets. Here we introduce our experiences of using echo-determined normal chordael length to mak...Background Chordae reconstruction is one of the key points in repair of mitral valve prolapse, especially for anterior leaflets. Here we introduce our experiences of using echo-determined normal chordael length to make the loops preoperatively and rebuild the elongated/ruptured chordae intraoperatively. Materials and method From June 2011 to February 2012, 19 consecutive cases with mitral anterior leaflet prolapse underwent valve repair procedures. Echocardiography was used to determine the length of normal chordae that the prolapsed leaflets should have for normal coaptation. The artificial chordae was fabricated in loops according to echo-determined length. Results All patients survived the operations. 2.8 preoperatively prepared loops were used per patient to restore the anterior leaflets, as well as posterior leaflets. Artificial mitral valve rings were applied to 18 patients for mitral annuloplasty. 16 patients were underwent different concomitant operations. Echocardiographic results at discharge showed that grade of mitral regurgitation, left ventricular end-diastolic, end-systolic dimension de-creased definitely,respectively from 3.26 ± 1.10, 53.79 ± 15.03 mm, 33.00 ± 12.05 mm preoperatively to 0.47 ± 0.61 （P 〈 0.01）, 44.74±10.28 mm （P 〈 0.01）, 30.16 ± 10.58 mm （P 〈 0.05） postoperatively. All patients improved clinically and NYHA functional class Conclusion Reconstruction of prolapsed anterior decreased significantly from 2.17 ± 0.81 to 1.12 ± 0.33. leaflet chordae with artificial loops in preoperatively echo-de-termined length is safe and effective, and initial clinical outcome is satisfactory.展开更多
One way to improve practicability of automatic program repair（APR） techniques is to build prediction models which can predict whether an application of a APR technique on a bug is effective or not. Existing predicti...One way to improve practicability of automatic program repair（APR） techniques is to build prediction models which can predict whether an application of a APR technique on a bug is effective or not. Existing prediction models have some limitations. First, the prediction models are built with hand crafted features which usually fail to capture the semantic characteristics of program repair task. Second, the performance of the prediction models is only evaluated on Genprog, a genetic-programming based APR technique. This paper develops prediction models, i.e., random forest prediction models for SPR, another kind of generate-and-validate APR technique, which can distinguish ineffective repair instances from effective repair instances. Rather than handcrafted features, we use features automatically learned by deep belief network（DBN） to train the prediction models. The empirical results show that compared to the baseline models, that is, all effective models, our proposed models can at least improve the F1 by 9% and AUC（area under the receiver operating characteristics curve） by 19%. At the same time, the prediction model using learned features at least outperforms the one using hand-crafted features in terms of F1 by 11%.展开更多
Background Rupture of descending thoracic aorta is a rare but lethal disease. Compared with open surgery,thoracic endovascular aortic repair(TEVAR)becomes a less invasive procedure in emergent management of patients w...Background Rupture of descending thoracic aorta is a rare but lethal disease. Compared with open surgery,thoracic endovascular aortic repair(TEVAR)becomes a less invasive procedure in emergent management of patients with feasible anatomy. Nevertheless,mortality remains high as well as morbidity despite successful operation. The purpose of this study was to compare TEVAR with conservative therapy on the 30-day mortality of patients with ruptured descending thoracic aorta. Methods Retrospective analysis of patients admitted to our hospital with descending thoracic aortic rupture was performed. Patients presented with rupture of descending thoracic aorta with feasible anatomy for TEVAR between Jan 2014 and June 2019 were included. Patients were divided into operative and conservative group depending on which therapy they received. Patients received TEVAR were defined as the operative group,while those received conservative therapy were defined as conservative treatment group. Results There were twenty-six patients in total,including fifteen aortic dissections,nine were thoracic aneurysms,and two were traumatic injuries. Theie mean age was 60±13 years with only two female. Seven patients(27%)presented with shock and twenty-two(85%)was accompanied with hemothorax on admission. Nineteen patients(73%)accepted emergent TEVAR with 100% primary technical success,and the other seven received conservative treatment. In operative group,infection(89%)and respiratory failure(63%)occurred after TEVAR. The in-hospital mortality for operative and conservative treatment group was 26% and 57% respectively(P=0.18). Operative group had lower 30-day mortality(26% vs. 86%,P=0.021). Conclusions TEVAR is associated with improved early outcome in patients with ruptured descending thoracic aorta.[S Chin J Cardiol 2019;20(3):140-145]展开更多
基金supported by the Natural Science Foundation of Guangdong Province, China (Grant No.S2011010005828)
文摘Background Chordae reconstruction is one of the key points in repair of mitral valve prolapse, especially for anterior leaflets. Here we introduce our experiences of using echo-determined normal chordael length to make the loops preoperatively and rebuild the elongated/ruptured chordae intraoperatively. Materials and method From June 2011 to February 2012, 19 consecutive cases with mitral anterior leaflet prolapse underwent valve repair procedures. Echocardiography was used to determine the length of normal chordae that the prolapsed leaflets should have for normal coaptation. The artificial chordae was fabricated in loops according to echo-determined length. Results All patients survived the operations. 2.8 preoperatively prepared loops were used per patient to restore the anterior leaflets, as well as posterior leaflets. Artificial mitral valve rings were applied to 18 patients for mitral annuloplasty. 16 patients were underwent different concomitant operations. Echocardiographic results at discharge showed that grade of mitral regurgitation, left ventricular end-diastolic, end-systolic dimension de-creased definitely,respectively from 3.26 ± 1.10, 53.79 ± 15.03 mm, 33.00 ± 12.05 mm preoperatively to 0.47 ± 0.61 （P 〈 0.01）, 44.74±10.28 mm （P 〈 0.01）, 30.16 ± 10.58 mm （P 〈 0.05） postoperatively. All patients improved clinically and NYHA functional class Conclusion Reconstruction of prolapsed anterior decreased significantly from 2.17 ± 0.81 to 1.12 ± 0.33. leaflet chordae with artificial loops in preoperatively echo-de-termined length is safe and effective, and initial clinical outcome is satisfactory.
基金Supported by the National Natural Science Foundation of China(61603242)Opening Project of Collaborative Innovation Center for Economics Crime Investigation and Prevention Technology(JXJZXTCX-030)+1 种基金the Scientific Research Fund of Zhaoqing Univeristy(201734)Innovative Guidance Fund of Zhaoqing City(201704030409)
文摘One way to improve practicability of automatic program repair（APR） techniques is to build prediction models which can predict whether an application of a APR technique on a bug is effective or not. Existing prediction models have some limitations. First, the prediction models are built with hand crafted features which usually fail to capture the semantic characteristics of program repair task. Second, the performance of the prediction models is only evaluated on Genprog, a genetic-programming based APR technique. This paper develops prediction models, i.e., random forest prediction models for SPR, another kind of generate-and-validate APR technique, which can distinguish ineffective repair instances from effective repair instances. Rather than handcrafted features, we use features automatically learned by deep belief network（DBN） to train the prediction models. The empirical results show that compared to the baseline models, that is, all effective models, our proposed models can at least improve the F1 by 9% and AUC（area under the receiver operating characteristics curve） by 19%. At the same time, the prediction model using learned features at least outperforms the one using hand-crafted features in terms of F1 by 11%.
基金supported by the National Natural Science Fund(No.81602848)
文摘Background Rupture of descending thoracic aorta is a rare but lethal disease. Compared with open surgery,thoracic endovascular aortic repair(TEVAR)becomes a less invasive procedure in emergent management of patients with feasible anatomy. Nevertheless,mortality remains high as well as morbidity despite successful operation. The purpose of this study was to compare TEVAR with conservative therapy on the 30-day mortality of patients with ruptured descending thoracic aorta. Methods Retrospective analysis of patients admitted to our hospital with descending thoracic aortic rupture was performed. Patients presented with rupture of descending thoracic aorta with feasible anatomy for TEVAR between Jan 2014 and June 2019 were included. Patients were divided into operative and conservative group depending on which therapy they received. Patients received TEVAR were defined as the operative group,while those received conservative therapy were defined as conservative treatment group. Results There were twenty-six patients in total,including fifteen aortic dissections,nine were thoracic aneurysms,and two were traumatic injuries. Theie mean age was 60±13 years with only two female. Seven patients(27%)presented with shock and twenty-two(85%)was accompanied with hemothorax on admission. Nineteen patients(73%)accepted emergent TEVAR with 100% primary technical success,and the other seven received conservative treatment. In operative group,infection(89%)and respiratory failure(63%)occurred after TEVAR. The in-hospital mortality for operative and conservative treatment group was 26% and 57% respectively(P=0.18). Operative group had lower 30-day mortality(26% vs. 86%,P=0.021). Conclusions TEVAR is associated with improved early outcome in patients with ruptured descending thoracic aorta.[S Chin J Cardiol 2019;20(3):140-145]
