Objective To evaluate the safety and effectiveness of Pipeline embolization device (PED) for the treatment of large and giant intracranial aneurysms.Methods Frorn November 2014 to May 2016,the clinical and radiological data of 33 patients with intracranial aneurysm confirmed by DSA or head CT angiography (CTA) or head magnetic resonance angiography (MRA) at the Department of Neurosurgery,Changhai Hospital,the Second Military Medical University were enrolled retrospectively.Its safety and effectiveness were evaluated.Results The Pipelines were successfully released in 33 patients with 35 aneurysms,10 aneurysms were implanted by using PED alone,25 were implanted by using PED combined with coil embolization (including 2 were implanted by using Pipeline bridging technology).During the perioperative period,1 thrombotic event(one aneurysm) occurred and had hemorrhagic transformation.One(one aneurysm) died of fatal aneurysm delayed bleeding.Thirty-one patients (33 aneurysms) were followed up clinically,the follow-up time was 4-18 months,no bleeding or thrombosis events occurred.Eighteen aneurysms received a short-term postoperative imaging follow-up (3-5 months,enhanced MRA or DSA),of which 10 had neck residue or aneurysm development,and 8 aneurysms did not have development at all,and 19 achieved postoperative mid-term imaging follow-up (6-16 months,enhanced MRA or DSA).Two of them had neck residue and 17 did not develop at all.Conclusion Pipeline for the treatment of intracranial large and giant aneurysms may be safe and effective.However,the complications of intracranial hemorrhage cannot be ignored after implantation of embolization device.Its related mechanism needs to be further studied.

Objective:To explore the impact of applying micro-video tracing training model to emerging infectious diseases (EIDs) knowledge training on the autonomous learning ability and learning outcomes among emergency department nurses.Methods:In this study, the training content was developed from the perspective of the historical development of EIDs. The training program was constructed in the form of a micro-video classification module and periodic WeChat group push-based autonomous learning. Convenience sampling was used to select 85 emergency nurses ( n=85) from a grade A tertiary general hospital in Shanghai for micro-video tracing training. The nurses were provided with EIDs knowledge training using a module consisting of 11 episodes, each of which included 5 sessions, i.e., enlightening thinking, micro-video learning, key point consolidation, key point analysis, and extension and expansion. After the intervention, the nurses were compared for their autonomous learning ability and their knowledge, belief, and action levels of EIDs, and their degree of satisfaction with the training model was evaluated. SPSS 20.0 and GraphPad Prism 9.3.0 were used for non-parametric Wilcoxon paired tests of quartiles ( Q25, M, and Q75). Results:After the training, the emergency department nurses had significantly higher scores in overall autonomous learning ability ( Z=-4.69, P<0.001) and in each dimension: concept of self-motivation ( Z=-4.48, P<0.001), task analysis ( Z=-4.06, P<0.001), self-monitoring and regulation ( Z=-4.50, P<0.001), and self-evaluation ( Z=-4.82, P<0.001); they had significantly higher scores in overall knowledge, belief, and action levels of EIDs ( Z=-4.65, P<0.001) and in each dimension: knowledge ( Z=-4.04, P<0.001), belief ( Z=-3.24, P=0.001), and action ( Z=-4.05, P<0.001). Emergency department nurses had a high degree of satisfaction with the training model (degree of satisfaction for each item >90%). Conclusions:The micro-video tracing training model can effectively improve the autonomous learning ability of emergency department nurses and their knowledge, belief, and action levels of EIDs, with a high degree of satisfaction among the nurses, making it promising for wide use.