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Incorporating Intra-Operative Medication Information for Prediction of Post-Operative Atrial Fibrillation | IEEE Conference Publication | IEEE Xplore

Incorporating Intra-Operative Medication Information for Prediction of Post-Operative Atrial Fibrillation


Abstract:

This study aimed to construct and evaluate a novel prediction model for postoperative atrial fibrillation (PoAF) with the addition of intraoperative medications. The stud...Show More

Abstract:

This study aimed to construct and evaluate a novel prediction model for postoperative atrial fibrillation (PoAF) with the addition of intraoperative medications. The study patient population included 4731 patients who underwent CABG surgery, of which 1363 developed PoAF, and the prediction methods included three logistic regression models. Multivariate logistic regression was performed with traditional clinical variables only for the first model, intraoperative medications added in the second model, and a subset of all variables chosen by the Least Absolute Shrinkage and Selection Operator (LASSO) in the third model. Age and prior AF diagnosis were consistently the strongest predictors for PoAF across all three models. The specific intra-operative medications moderately improved predictive accuracy as compared to the clinical feature-only model.
Date of Conference: 10-13 June 2019
Date Added to IEEE Xplore: 21 November 2019
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Conference Location: Xi'an, China

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