The potential value of serum neuron-specific enolase in screening for silent cerebral infarction following radiofrequency catheter ablation for atrial fibrillation

BACKGROUND: Silent cerebral infarction (SCI) is a frequent perioperative complication of catheter ablation for atrial fibrillation (AF), yet its detection currently relies on magnetic resonance imaging (MRI) - a modality not routinely accessible for all patients. This preliminary study investigated whether neuron-specific enolase (NSE), a serum biomarker of neuronal injury, could serve as a practical screening tool for perioperative SCI following radiofrequency ablation for AF. METHODS: ). Multivariate logistic regression, receiver operating characteristic (ROC) curve analysis, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were employed to assess the association between NSE and SCI. RESULTS: significantly improved the model's discriminative performance (NRI = 0.748, 95% CI 0.232-1.064, P < 0.001; IDI = 0.084, 95% CI 0.024-0.114, P = 0.003). CONCLUSION: Serum NSE exhibits high sensitivity for detecting SCI following AF ablation, suggesting its potential as a post-procedural screening tool to help identify patients who may benefit from confirmatory MRI, particularly in resource-constrained settings. Given the exploratory nature of this study and its methodological limitations, these findings should be considered hypothesis-generating and warrant validation in larger, well-designed prospective cohorts.

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Publication Details

Journal
BMC Cardiovascular Disorders
Published
2026-04-30
DOI
https://doi.org/10.1186/s12872-026-05789-7
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
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article

The potential value of serum neuron-specific enolase in screening for silent cerebral infarction following radiofrequency catheter ablation for atrial fibrillation

Liqi Ge, Feng Li, Beibei Gao, Dandan Zuo et al.
BMC Cardiovascular Disorders
Atrial Fibrillation Management and Outcomes
article

The potential value of serum neuron-specific enolase in screening for silent cerebral infarction following radiofrequency catheter ablation for atrial fibrillation

Liqi Ge, Feng Li, Beibei Gao, Dandan Zuo, Xudong Zhao, Zhongxiao Liu, Chaoqun Zhang, Chunqing Wang
article en

Abstract

BACKGROUND: Silent cerebral infarction (SCI) is a frequent perioperative complication of catheter ablation for atrial fibrillation (AF), yet its detection currently relies on magnetic resonance imaging (MRI) - a modality not routinely accessible for all patients. This preliminary study investigated whether neuron-specific enolase (NSE), a serum biomarker of neuronal injury, could serve as a practical screening tool for perioperative SCI following radiofrequency ablation for AF. METHODS: ). Multivariate logistic regression, receiver operating characteristic (ROC) curve analysis, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were employed to assess the association between NSE and SCI. RESULTS: significantly improved the model's discriminative performance (NRI = 0.748, 95% CI 0.232-1.064, P < 0.001; IDI = 0.084, 95% CI 0.024-0.114, P = 0.003). CONCLUSION: Serum NSE exhibits high sensitivity for detecting SCI following AF ablation, suggesting its potential as a post-procedural screening tool to help identify patients who may benefit from confirmatory MRI, particularly in resource-constrained settings. Given the exploratory nature of this study and its methodological limitations, these findings should be considered hypothesis-generating and warrant validation in larger, well-designed prospective cohorts.

BMC Cardiovascular Disorders
Xuzhou Medical College (CN)
Reduced inequalities
Openalex Percentile: Top 11%
Atrial Fibrillation Management and Outcomes
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The potential value of serum neuron-specific enolase in screening for silent cerebral infarction following radiofrequency catheter ablation for atrial fibrillation — Liqi Ge, Feng Li, et al. · BMC Cardiovascular Disorders (2026) | TGRS Research Map | TGRS