Objective： To compare the plaque composition between stable and unstable plaques, characterize unstable plaque by using iMap-intravascular ultrasound （IVUS）, and quantify the diagnostic criteria for unstable plaque...Objective： To compare the plaque composition between stable and unstable plaques, characterize unstable plaque by using iMap-intravascular ultrasound （IVUS）, and quantify the diagnostic criteria for unstable plaque. Methods： Thirty-three acute coronary syndrome （ACS） patients who had undergone coronary angiography and IVUS from February 19, 2014 to December 19, 2014 at Peking University People＇s Hospital were enrolled in the study. Baseline data were collected. The patients were divided into two groups according to their gray-scale IVUS imaging, stable plaque and unstable plaque. A difference-in-difference evaluation was performed using the baseline data and off-line iMap imaging results between the two groups. A receiver operating characteristic （ROC） curve was constructed to obtain the optimal cut-off value to diagnose unstable plaque. Results： Percentages of fibrotic and necrotic tissues, absolute values of lipidic, necrotic, and calcified tissues, and plaque burden were independent predictors for unstable plaque. Absolute necrotic area was the best predictor and exhibited the highest diagnostic value for plaque vulnerability （area under the curve （AUC）=0.806, P=0.000, 95% CI （0.718, 0.894））. The cut-off score for predicting unstable plaque was 4.0 mm2. Conclusions： This study attempted to propose a cut-off value based on absolute necrotic area using iMap-IVUS to predict plaque vulnerability in patients with ACS. This score might provide a valuable reference for diagnosing unstable plaque.展开更多
Objective To identify clinical characteristics associated with the minimum lumen area （MLA） of proximal or middle intermediate lesions in the left anterior descending （LAD） artery, and to develop a model to predic...Objective To identify clinical characteristics associated with the minimum lumen area （MLA） of proximal or middle intermediate lesions in the left anterior descending （LAD） artery, and to develop a model to predict MLA. Methods We retrospectively analyzed demographic data, medical history, and intravascular ultrasound findings for 90 patients with intermediate lesions in the LAD artery. Linear regression was used to identify factors affecting MLA, and multiple regression was used to develop a model for predicting MLA. Results Age, number of lesions, and diabetes mellitus correlated significantly with MLA of proximal or middle intermediate lesions. A regression model for predicting MLA （mm2） was derived from the data： 7.00 - 0.05 × （age） - 0.50 × （number of lesions）. A cut-off value of 3.1 mm2 was proposed for deciding when to perform percutaneous coronary intervention. Conclusion This model for predicting MLA of proximal or middle intermediate lesions in the LAD artery showed high accuracy, sensitivity, and specificity, indicating good diagnostic potential.展开更多
Objective:This study compared the long-term outcomes between rotational atherectomy(RA)for specific indications and on-label use of RA for severely calcified coronary lesions.Methods:Data for patients who underwent RA...Objective:This study compared the long-term outcomes between rotational atherectomy(RA)for specific indications and on-label use of RA for severely calcified coronary lesions.Methods:Data for patients who underwent RA between 2015 and 2020 in a single-center registry were analyzed.The specific indication group included patients with ostial lesions,unprotected left main coronary artery stenosis,chronic total occlusions,stent ablation,angulated lesions,and cardiac dysfunction,whereas patients with none of the above-mentioned characteristics were included in the on-label group.The primary endpoint was compared between groups.Results:A total of 176 patients in the on-label group and 125 patients in the specific indication group were included.Patient clinical characteristics were comparable between groups.The incidence of complications during the procedure was higher in the specific indication group than in the on-label group(20.0%vs.10.8%,P=0.018).No significant dif-ference was observed in in-hospital MACCE between groups(12.5%vs 9.7%,P=0.392).During 35(10–57)months of follow-up,MACCE occurred in 46 patients(15.3%).The incidence of MACCE was much higher in the specific indication group than the on-label group(25.6%vs 13.6%,P=0.034).Conclusions:RA for specific indications,compared with on-label use,had a higher incidence of complications dur-ing the procedure and poorer long-term clinical outcomes.展开更多
In this paper,we investigate the problem of a size-constrained k-core group query (SCCGQ)in social networks, taking both user closeness and network topology into consideration.More specifically,SCCGQ intends to find a...In this paper,we investigate the problem of a size-constrained k-core group query (SCCGQ)in social networks, taking both user closeness and network topology into consideration.More specifically,SCCGQ intends to find a group of h users that has the highest social closeness while being a k-core.SCCGQ can be widely applied to event planning,task assignment,social analysis,and many other fields.In contrast to existing work on the k-core detection problem,which aims to find a k-core in a social network,SCCGQ not only focuses on k-core detection but also takes size constraints into consideration.Although the conventional k-core detection problem can be solved in linear time,SCCGQ has a higher complexity.To solve the problem of SCCGQ,we propose a Blast Scatter (BS)algorithm,which appoints the query node as the center to begin outward expansions via breadth search.In each outward expansion,BS finds a new center through a greedy strategy and then selects multiple neighbors of the center.To speed up the BS algorithm,we propose an advanced search algorithm,called Bounded Extension (BE).Specifically,BE combines an effective social distance pruning strategy and a tight upper bound of social closeness to prune the search space considerably.In addition,we propose an offiine social-aware index to accelerate the query processing.Finally,our experimental results demonstrate the efficiency and effectiveness of our proposed algorithms on large real-world social networks.展开更多
基金supported by the Capital Health Research and Development of Special(No.2014-2-4085),China
文摘Objective： To compare the plaque composition between stable and unstable plaques, characterize unstable plaque by using iMap-intravascular ultrasound （IVUS）, and quantify the diagnostic criteria for unstable plaque. Methods： Thirty-three acute coronary syndrome （ACS） patients who had undergone coronary angiography and IVUS from February 19, 2014 to December 19, 2014 at Peking University People＇s Hospital were enrolled in the study. Baseline data were collected. The patients were divided into two groups according to their gray-scale IVUS imaging, stable plaque and unstable plaque. A difference-in-difference evaluation was performed using the baseline data and off-line iMap imaging results between the two groups. A receiver operating characteristic （ROC） curve was constructed to obtain the optimal cut-off value to diagnose unstable plaque. Results： Percentages of fibrotic and necrotic tissues, absolute values of lipidic, necrotic, and calcified tissues, and plaque burden were independent predictors for unstable plaque. Absolute necrotic area was the best predictor and exhibited the highest diagnostic value for plaque vulnerability （area under the curve （AUC）=0.806, P=0.000, 95% CI （0.718, 0.894））. The cut-off score for predicting unstable plaque was 4.0 mm2. Conclusions： This study attempted to propose a cut-off value based on absolute necrotic area using iMap-IVUS to predict plaque vulnerability in patients with ACS. This score might provide a valuable reference for diagnosing unstable plaque.
文摘Objective To identify clinical characteristics associated with the minimum lumen area （MLA） of proximal or middle intermediate lesions in the left anterior descending （LAD） artery, and to develop a model to predict MLA. Methods We retrospectively analyzed demographic data, medical history, and intravascular ultrasound findings for 90 patients with intermediate lesions in the LAD artery. Linear regression was used to identify factors affecting MLA, and multiple regression was used to develop a model for predicting MLA. Results Age, number of lesions, and diabetes mellitus correlated significantly with MLA of proximal or middle intermediate lesions. A regression model for predicting MLA （mm2） was derived from the data： 7.00 - 0.05 × （age） - 0.50 × （number of lesions）. A cut-off value of 3.1 mm2 was proposed for deciding when to perform percutaneous coronary intervention. Conclusion This model for predicting MLA of proximal or middle intermediate lesions in the LAD artery showed high accuracy, sensitivity, and specificity, indicating good diagnostic potential.
基金This study was supported by the National Natural Science Foundation of China(grant No.81800316).
文摘Objective:This study compared the long-term outcomes between rotational atherectomy(RA)for specific indications and on-label use of RA for severely calcified coronary lesions.Methods:Data for patients who underwent RA between 2015 and 2020 in a single-center registry were analyzed.The specific indication group included patients with ostial lesions,unprotected left main coronary artery stenosis,chronic total occlusions,stent ablation,angulated lesions,and cardiac dysfunction,whereas patients with none of the above-mentioned characteristics were included in the on-label group.The primary endpoint was compared between groups.Results:A total of 176 patients in the on-label group and 125 patients in the specific indication group were included.Patient clinical characteristics were comparable between groups.The incidence of complications during the procedure was higher in the specific indication group than in the on-label group(20.0%vs.10.8%,P=0.018).No significant dif-ference was observed in in-hospital MACCE between groups(12.5%vs 9.7%,P=0.392).During 35(10–57)months of follow-up,MACCE occurred in 46 patients(15.3%).The incidence of MACCE was much higher in the specific indication group than the on-label group(25.6%vs 13.6%,P=0.034).Conclusions:RA for specific indications,compared with on-label use,had a higher incidence of complications dur-ing the procedure and poorer long-term clinical outcomes.
基金the National Research Foundation,Prime Ministers Office,Singapore,under its International Research Centres in Singapore Funding Initiative and Pinnacle Lab for Analytics at Singapore Management University,the National Natural Science Foundation of China under Grant Nos.61572119,61622202,61732003,61729201,61702086,and U1401256the Fundamental Research Funds for the Central Universities of China under Grant No.N150402005.
文摘In this paper,we investigate the problem of a size-constrained k-core group query (SCCGQ)in social networks, taking both user closeness and network topology into consideration.More specifically,SCCGQ intends to find a group of h users that has the highest social closeness while being a k-core.SCCGQ can be widely applied to event planning,task assignment,social analysis,and many other fields.In contrast to existing work on the k-core detection problem,which aims to find a k-core in a social network,SCCGQ not only focuses on k-core detection but also takes size constraints into consideration.Although the conventional k-core detection problem can be solved in linear time,SCCGQ has a higher complexity.To solve the problem of SCCGQ,we propose a Blast Scatter (BS)algorithm,which appoints the query node as the center to begin outward expansions via breadth search.In each outward expansion,BS finds a new center through a greedy strategy and then selects multiple neighbors of the center.To speed up the BS algorithm,we propose an advanced search algorithm,called Bounded Extension (BE).Specifically,BE combines an effective social distance pruning strategy and a tight upper bound of social closeness to prune the search space considerably.In addition,we propose an offiine social-aware index to accelerate the query processing.Finally,our experimental results demonstrate the efficiency and effectiveness of our proposed algorithms on large real-world social networks.
