Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2023-04-19 Cooperative journals: 《中国全科医学》
Abstract： Background The incidence of radial artery occlusion（RAO）after coronary intervention via transradial artery approach（TRA）is high. But there is a lack of long-term follow-up studies with a large sample size on retrograde recanalization of occluded radial artery via distal transradial artery approach（dTRA）. Objective To assess the feasibility of dTRA for retrograde recanalization of occluded radial artery. Methods Forty-four patients undergoing retrograde recanalization via dTRA for treating RAO after coronary intervention via TRA were consecutively recruited from Shenzhen People's Hospital from June 2019 to December 2021，and divided into groups of successful（n=39）and failed（n=5）according to the result of the procedure. The primary endpoint was postprocedural radial artery patency. And secondary endpoints included possible predictors of failed retrograde recanalization，incidence of adverse events during hospitalization，and patency rates of radial artery at 3，6 and 12 months after procedure. Results The success rate of postprocedural radial artery patency was 88.6% （39/44）. Compared with the successful group，the failed group had higher percentages of diabetics and current smokers，higher prevalence of at least three times of coronary interventions and chronic total occlusion of the coronary artery，as well as a significantly lower prevalence of undergoing balloon angioplasty（P<0.05）. There was no significant intergroup difference in the incidence of bleeding or hematoma at the access site during hospitalization（P>0.05）. The patency rates of radial artery in successful group were 48.7%（19/39），43.6%（17/39），and 35.9%（14/39） at 3，6，and 12 months after procedure，respectively. Conclusion dTRA may be feasible for retrograde recanalization of occluded radial artery，which showed a high procedural success rate up to 88.6%，but the long-term patency rate was less than 50.0%. Diabetes，smoking，at least three times of coronary interventions，chronic total occlusion of coronary artery，and receiving no balloon angioplasty may be predictors of failed retrograde recanalization of occluded radial artery via dTRA. dTRA for retrograde recanalization of occluded radial artery is recommended for patients with RAO who also require elective coronary intervention.
Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2022-12-23 Cooperative journals: 《中国全科医学》
Abstract：
Background: Radial artery occlusion (RAO) often occurs after catheterization when using a transradial artery approach. Objective: This prospective study assessed the success and feasibility of accessing the distal transradial artery (dTRA) for retrograde recanalization of RAO. Methods: From June 2019 to December 2021, 44 consecutive patients who had undergone cardiac catheterization resulting in RAO were given retrograde recanalization via the dTRA. According to the result of the procedure (primary endpoint), patients’ cases were analyzed as successful or failed. Rates of post-operative patency and adverse events were calculated up to 12 months. Results: The procedural success rate was 88.6%. Compared with the successful group, a significantly higher percentage of patients in the failed group were current smokers and/or suffered from diabetes mellitus (each, 80.0% cf. 33.3%, P=0.046); had undergone at least 3 previous cardiac catheterizations (60.0% cf. 12.8%, P=0.011), and exhibited chronic total occlusion (100.0% cf. 51.28%, P=0.041). In each group, one patient each had minor bleeding at the access site and hematoma. The patency rates in the successful group at postoperative 3, 6, and 12 months were 48.7, 43.6, and 35.9%, respectively. Conclusion: The dTRA approach for retrograde recanalization of RAO showed a high procedural success rate, but with patency rates of less than 50% at follow-up.
Subjects: Computer Science >> Computer Application Technology submitted time 2022-11-02 Cooperative journals: 《桂林电子科技大学学报》
Abstract： Subgraph matching is a fundamental problem in graph data analysis and has important research significance. Aiming
at the problem of a large number of redundant searches in the subgraph matching algorithm, a subgraph matching
symbol algorithm based on graph neural network(SSMGNN) was proposed. The algorithm used the graph neural network
technology to aggregate the neighborhood information of nodes, and obtained the feature vector containing the local attributes
and structure of the graph, and used the vector as the filter condition to obtain the node candidate set C of the query
graph. In addition, optimizing the matching order and using symbolic ADD operations to construct each candidate region of
C in the data graph reduced redundant searches during subgraph enumeration verification. The experimental results show
that, compared with the VF3 algorithm, the algorithm effectively improve the solving efficiency of subgraph matching.
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