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Improved prognostic value of recurrence for atrial fibrillation patients after cryoablation by non-linear survival models
  • Jing Li

Abstract

Background: Atrial fibrillation (AF) is a common cardiac arrhythmia that affects millions of people worldwide. We aim to investigate how to improve prognostic value of recurrence for atrial fibrillation patients after cryoablation by non-linear survival models. Methods: In this study, we retrospectively reviewed data from 1023 patients who underwent cryoablation surgery for AF at Fujian Provincial Hospital (FPH). We generated radiomics signatures (RSI) and a clinical signature (CLI) using a non-linear survival model by repeated 10-fold cross-validation. The comprehensive risk score (TCRS) was obtained by linearly weighting the multivariate Cox proportional risk model. Results: The combination of RSI and CLI indicators had a significantly higher area under the curve (AUC) in the ROC curve of the training set (AUC=0.955) compared to the AUC of a single indicator CLI (AUC=0.862). The TCRS showed better prognostic performance compared to the traditional Lasso-Cox models, with AUC of 0.955 vs 0.664. The accuracy of the model was further confirmed by the C-indices of RSI (C-index: 0.8894; 95%CI: 0.8166-0.9621), CLI (C-index: 0.8431; 95%CI: 0.7466-0.9395), and TCRS (C-index: 0.9072; 95%CI: 0.8281-0.9864) in validation set 2. Conclusions: Under a nonlinear survival model, TCRS which combines RSI and CLI indicators has potential as a promising prognostic tool for post-cryoablation AF patients.
20 Sep 2023Submitted to Journal of Cardiovascular Electrophysiology
20 Sep 2023Submission Checks Completed
20 Sep 2023Assigned to Editor
20 Sep 2023Review(s) Completed, Editorial Evaluation Pending
24 Sep 2023Reviewer(s) Assigned