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A nomogram integrating the CHA2DS2-VASc score for predicting atrial fibrillation recurrence following catheter
Lin-Qian Jiang1,2, Yu-Hong Zhong1,3, Xue-Hai Chen1
1Department of Cardiology, Fujian Clinical Medical Research Center for Heart and Macrovascular Disease, Fujian Medical University Union Hospital, Fujian Heart Medical Center, Fujian Institute of Coronary Heart Disease, 29 Xinquan Road, Gulou District, Fuzhou, 350001, China.
Insights
A new nomogram incorporating the CHA2DS2-VASc score shows promise in predicting atrial fibrillation (AF) recurrence after catheter ablation. This tool may improve risk assessment for patients undergoing AF ablation procedures.
Area of Science:
- Cardiology
- Medical Informatics
Background:
- Atrial fibrillation (AF) recurrence after catheter ablation remains a clinical challenge.
- Existing risk stratification tools may not fully capture post-ablation recurrence risk.
Purpose of the Study:
- To develop and validate a nomogram for predicting AF recurrence post-catheter ablation.
- To compare the predictive efficacy of the nomogram against the CHA2DS2-VASc score.
Main Methods:
- A retrospective analysis of 398 patients undergoing first-time catheter ablation for symptomatic AF.
- Univariate and multivariate analyses to identify independent risk factors for AF recurrence.
- Construction of a predictive nomogram using R programming language incorporating CHA2DS2-VASc score, AF duration, neutrophil-to-lymphocyte ratio (NLR), and left atrial diameter (LAD).
Main Results:
- Independent risk factors for AF recurrence included AF duration, blanking period recurrence, neutrophil granulocyte count, NLR, red blood cell distribution width, and LAD.
- The developed nomogram demonstrated a higher predictive value (C-index: 0.707) compared to the CHA2DS2-VASc score alone (C-index: 0.499).
- NLR, LAD, AF duration, and CHA2DS2-VASc score were significant predictors in the nomogram, with NLR showing the highest predictive power.
Conclusions:
- A novel nomogram integrating CHA2DS2-VASc score, AF duration, NLR, and LAD effectively predicts 12-month AF recurrence post-ablation.
- The nomogram offers improved risk stratification compared to the CHA2DS2-VASc score alone.
- Further external validation is necessary to confirm the nomogram's reliability and generalizability.
Objective:
This study aimed to explore the predictive efficacy of a nomogram based on the congestive heart failure, hypertension, age, diabetes mellitus, prior stroke, transient ischemic attack or thromboembolism, vascular disease, age, and sex category (CHA2DS2-VASc) score in predicting atrial fibrillation (AF) recurrence following first-time catheter ablation in patients with symptomatic AF.
Methods:
Clinical data of 398 patients were collected and analyzed. Patients were divided into a recurrence group (n = 81) and a non-recurrence group (n = 317). Key predictive factors were identified through univariate and multivariate analyses, and a nomogram was subsequently constructed using the R programming language.
Results:
The duration of AF, recurrence during the blanking period, neutrophil granulocyte count, neutrophil-to-lymphocyte ratio (NLR), red blood cell distribution width, and left atrial diameter (LAD) were identified as independent risk factors for AF recurrence (p < 0.05). A predictive model incorporating the CHA2DS2-VASc score, AF duration, NLR, and LAD was constructed. Among these variables, NLR exhibited the highest predictive value for postoperative recurrence of AF, followed by LAD, AF duration, and the CHA2DS2-VASc score. The concordance index (C-index) of the nomogram was 0.707 (95% CI: 0.566-0.847), which was significantly higher than that of the CHA2DS2-VASc score (C-index: 0.499; 95% CI: 0.359-0.640). The prediction model that was developed demonstrated clinical utility for assessing the risk of late recurrence across different AF subtypes and ablation techniques (AUC > 0.5).
Conclusion:
A nomogram incorporating the CHA2DS2-VASc score was developed to predict the recurrence of AF following ablation. It demonstrated promise in predicting the probability of recurrence 12 months post-ablation. However, further validation is required to confirm its reliability and generalizability.
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