1306 Recommendations for the Use of Simulators in Cardiothoracic Surgical Training

Abstract Aim To systematically review the simulators that are currently available for cardiothoracic surgical procedures and validation evidence supporting them. Additionally, to recommend several training based on analysis of results. Method A systematic literature search MEDLINE® (1946 December 2019) EMBASE® (1947 databases was performed identify basic skills in surgery. selection keywords MeSH terms were used execute search. After identification relevant articles, data extracted analysed. Results Ninety found eighty-one articles. Simulators (n=24) coronary artery bypass graft (n=22) most commonly described, followed by miscellaneous (n=14), valve surgery (n=13), thoracic lobectomy (n=10), mechanical circulatory support (n=7). The majority models either benchtop (n=42) or hybrid (n=33) modalities. Evidence validity demonstrated 38 (42.2%) simulators. Five (5.6%) had three more elements established only one (1.1%) accomplished full validation. Conclusions recommended supplemental Low-fidelity can provide a broad foundation development high-fidelity be immersive scenarios appraisals. These should utilised early training, at which point learning curve trainees is steepest.