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Application of video-teaching plus practice in teaching mice model preparation of myocardial hypertrophy by graduate students of cardiovascular surgery

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Author:
No author available
Journal Title:
Chinese Heart Journal
Issue:
4
DOI:
10.12125/j.chj.202305074
Key Word:
视频教学;动物模型;心血管疾病;研究生;围手术期;video-teaching;animal model;cardiovascular diseases;graduate students;perioperative period

Abstract: AIM To evaluate the teaching effect of video-teaching plus practice in mice model pre-paration of myocardial hypertrophy by graduate students of cardiovascular surgery.METHODS Two hundred and ten mice were used for this study,including 10 mice in control group,100 mice in routine training group and 100 mice in video-teaching group.Compared to routine teaching,the teachers'demonstrations were recorded as videos,so the trainees in video-teaching group can watch the video repeatedly during the practice process.Perioperative related data such as anesthesia,tracheal intubation and aortic constriction,postoperative recovery,the 4-week postoperative survival rate and model success rate were compared between routine training group and video-teaching group.RESULTS The trainees in video-teaching group were more proficient in various aspects of operation.The anesthesia,intubation time,surgical time,suture time and postoperative recovery time in video-teaching group were significantly lower than those in routine training group.The number of animal deaths during the perioperative period of model preparation in video-teaching group was also significantly lower than that in routine training group,and the survival rate and model success rate at the 4th week after surgery in video-teaching group were significantly higher than those in routine training group.CONCLUSION The preparation and operation of cardiovascular disease animal models is difficult and the process is relatively complex.However,video-teaching can shorten the time of learning curve,which helps graduate students better master surgical skills and prepare cardiovascular disease animal models with high success rates and strong repeatability.

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