Development and Validation of a Risk Nomogram Model for Predicting Recurrence in Patients with Atrial Fibrillation After Radiofrequency Catheter Ablation

Zhihao Zhao, Fengyun Zhang, Ruicong Ma, Lin Bo, Zeqing Zhang, Chaoqun Zhang, Zhirong Wang, Chengzong Li, Yu Yang Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People’s Republic of ChinaCorrespondence: Yu Yang, Tel +86-15651359875, Email xuzhouyangyu@163.comP...

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Main Authors: Zhao Z, Zhang F, Ma R, Bo L, Zhang Z, Zhang C, Wang Z, Li C, Yang Y
Format: Article
Language:English
Published: Dove Medical Press 2022-09-01
Series:Clinical Interventions in Aging
Subjects:
Online Access:https://www.dovepress.com/development-and-validation-of-a-risk-nomogram-model-for-predicting-rec-peer-reviewed-fulltext-article-CIA
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author Zhao Z
Zhang F
Ma R
Bo L
Zhang Z
Zhang C
Wang Z
Li C
Yang Y
author_facet Zhao Z
Zhang F
Ma R
Bo L
Zhang Z
Zhang C
Wang Z
Li C
Yang Y
author_sort Zhao Z
collection DOAJ
description Zhihao Zhao, Fengyun Zhang, Ruicong Ma, Lin Bo, Zeqing Zhang, Chaoqun Zhang, Zhirong Wang, Chengzong Li, Yu Yang Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People’s Republic of ChinaCorrespondence: Yu Yang, Tel +86-15651359875, Email xuzhouyangyu@163.comPurpose: This study aimed to develop and validate a risk nomogram model for predicting the risk of atrial fibrillation recurrence after radiofrequency catheter ablation.Patients and Methods: A retrospective observational study was conducted using data from 485 patients with atrial fibrillation who underwent the first radiofrequency ablation in our hospital from January 2018 to June 2021. All patients were randomized into training cohort (70%; n=340) and validation cohort (30%; n=145). Univariate and multivariate logistic regression analyses were used to identify independent risk factors. The predictive nomogram model was established by using R software. The nomogram was developed and evaluated based on differentiation, calibration, and clinical efficacy by concordance statistic (C-statistic), calibration plots, and decision curve analysis (DCA), respectively.Results: The nomogram was established by four variables including left atrial diameter (OR 1.057, 95% CI 1.010– 1.107, P=0.018), left ventricular ejection fraction (OR 0.943, 95% CI 0.905– 0.982, P=0.005), type of atrial fibrillation (OR 2.164, 95% CI: 1.262– 3.714), and systemic inflammation score (OR 1.905, 95% CI 1.408– 2.577). The C-statistic of the nomogram was 0.741 (95% CI: 0.689– 0.794) in the training cohort and 0.750 (95% CI: 0.670– 0.831) in the validation cohort. The calibration plots showed good agreement between the predictions and observations in the training and validation cohorts. Decision curve analysis and clinical impact curves indicated the clinical utility of the predictive nomogram.Conclusion: The nomogram model has good discrimination and accuracy, which can screen high-risk groups intuitively and individually, and has a certain predictive value for atrial fibrillation recurrence in patients after radiofrequency ablation.Keywords: nomogram, risk prediction model, atrial fibrillation, radiofrequency catheter ablation, recurrence
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spelling doaj.art-ff86fbdfbb1644f99d36f85ade558c982022-12-22T01:59:39ZengDove Medical PressClinical Interventions in Aging1178-19982022-09-01Volume 171405142178529Development and Validation of a Risk Nomogram Model for Predicting Recurrence in Patients with Atrial Fibrillation After Radiofrequency Catheter AblationZhao ZZhang FMa RBo LZhang ZZhang CWang ZLi CYang YZhihao Zhao, Fengyun Zhang, Ruicong Ma, Lin Bo, Zeqing Zhang, Chaoqun Zhang, Zhirong Wang, Chengzong Li, Yu Yang Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People’s Republic of ChinaCorrespondence: Yu Yang, Tel +86-15651359875, Email xuzhouyangyu@163.comPurpose: This study aimed to develop and validate a risk nomogram model for predicting the risk of atrial fibrillation recurrence after radiofrequency catheter ablation.Patients and Methods: A retrospective observational study was conducted using data from 485 patients with atrial fibrillation who underwent the first radiofrequency ablation in our hospital from January 2018 to June 2021. All patients were randomized into training cohort (70%; n=340) and validation cohort (30%; n=145). Univariate and multivariate logistic regression analyses were used to identify independent risk factors. The predictive nomogram model was established by using R software. The nomogram was developed and evaluated based on differentiation, calibration, and clinical efficacy by concordance statistic (C-statistic), calibration plots, and decision curve analysis (DCA), respectively.Results: The nomogram was established by four variables including left atrial diameter (OR 1.057, 95% CI 1.010– 1.107, P=0.018), left ventricular ejection fraction (OR 0.943, 95% CI 0.905– 0.982, P=0.005), type of atrial fibrillation (OR 2.164, 95% CI: 1.262– 3.714), and systemic inflammation score (OR 1.905, 95% CI 1.408– 2.577). The C-statistic of the nomogram was 0.741 (95% CI: 0.689– 0.794) in the training cohort and 0.750 (95% CI: 0.670– 0.831) in the validation cohort. The calibration plots showed good agreement between the predictions and observations in the training and validation cohorts. Decision curve analysis and clinical impact curves indicated the clinical utility of the predictive nomogram.Conclusion: The nomogram model has good discrimination and accuracy, which can screen high-risk groups intuitively and individually, and has a certain predictive value for atrial fibrillation recurrence in patients after radiofrequency ablation.Keywords: nomogram, risk prediction model, atrial fibrillation, radiofrequency catheter ablation, recurrencehttps://www.dovepress.com/development-and-validation-of-a-risk-nomogram-model-for-predicting-rec-peer-reviewed-fulltext-article-CIAnomogramrisk prediction modelatrial fibrillationradiofrequency catheter ablationrecurrence.
spellingShingle Zhao Z
Zhang F
Ma R
Bo L
Zhang Z
Zhang C
Wang Z
Li C
Yang Y
Development and Validation of a Risk Nomogram Model for Predicting Recurrence in Patients with Atrial Fibrillation After Radiofrequency Catheter Ablation
Clinical Interventions in Aging
nomogram
risk prediction model
atrial fibrillation
radiofrequency catheter ablation
recurrence.
title Development and Validation of a Risk Nomogram Model for Predicting Recurrence in Patients with Atrial Fibrillation After Radiofrequency Catheter Ablation
title_full Development and Validation of a Risk Nomogram Model for Predicting Recurrence in Patients with Atrial Fibrillation After Radiofrequency Catheter Ablation
title_fullStr Development and Validation of a Risk Nomogram Model for Predicting Recurrence in Patients with Atrial Fibrillation After Radiofrequency Catheter Ablation
title_full_unstemmed Development and Validation of a Risk Nomogram Model for Predicting Recurrence in Patients with Atrial Fibrillation After Radiofrequency Catheter Ablation
title_short Development and Validation of a Risk Nomogram Model for Predicting Recurrence in Patients with Atrial Fibrillation After Radiofrequency Catheter Ablation
title_sort development and validation of a risk nomogram model for predicting recurrence in patients with atrial fibrillation after radiofrequency catheter ablation
topic nomogram
risk prediction model
atrial fibrillation
radiofrequency catheter ablation
recurrence.
url https://www.dovepress.com/development-and-validation-of-a-risk-nomogram-model-for-predicting-rec-peer-reviewed-fulltext-article-CIA
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