Development and verification of a predictive nomogram to evaluate the risk of complicating ventricular tachyarrhythmia after acute myocardial infarction during hospitalization: A retrospective analysis.

The American Journal of Emergency Medicine
Xifeng ZhengYan He

Abstract

The purpose of this study was to establish a nomogram to predict the risk of complicating ventricular tachyarrhythmia (VTA) in patients with acute myocardial infarction (AMI) during hospitalization and to verify the accuracy of the model. The authors enrolled the information of 503 patients who were diagnosed as AMI from January 2017 to December 2019. The cohort was randomly divided into a training set and a testing set at a ratio of 70%:30%. A total of 13 clinical indicators were screened by the least absolute shrinkage and selection operator (LASSO) regression and Boruta arithmetic independently in order to figure out the optimal feature variables. Multivariable logistic regression analysis was applied to establish the prediction model represented by a nomogram incorporating the selected feature variables. The performance of the nomogram was assessed by discrimination, calibration and clinical usefulness. C-Statistics with the area under the receiver operating characteristic curve (AUC), calibration curve and decision curve analysis were used to evaluate the identification ability, calibration and clinical practicability respectively. The prediction model was verified on the testing set to ensure its accuracy. Five feature va...Continue Reading

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