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Risk stratification tool for all surgical site infections after coronary artery bypass grafting.

Giuseppe GattiAntonio FioreAlessandro CeschiaFiona EcarnotRim ChaaraRoberto LuzzatiThierry FolliguetSidney ChocronAniello PappalardoAndrea Perrotti
Published in: Infection control and hospital epidemiology (2020)
In the derivation data set, ASSIST outperformed specific risk scores in predicting SSIs after CABG. The combined model had a higher accuracy of prediction than the preoperative-only model both in the derivation and validation samples. Additive and logistic ASSIST showed equivalent performance.
Keyphrases
  • coronary artery bypass grafting
  • coronary artery disease
  • percutaneous coronary intervention
  • electronic health record
  • patients undergoing
  • atrial fibrillation
  • deep learning