Vlachakis Panayotis K, Theofilis Panagiotis, Kordalis Athanasios, Tousoulis Dimitris
Department of 1 Cardiology, General Hospital of Athens "Hippocratio", University of Athens Medical School, Athens 11527, Greece.
Department of 1 Cardiology, Athens Medical School, National and Kapodistrian University of Athens, Athens 11527, Greece.
World J Cardiol. 2025 Mar 26;17(3):103993. doi: 10.4330/wjc.v17.i3.103993.
Atrial fibrillation (Afib) is a common arrhythmia with significant public health implications, affecting millions of individuals worldwide. Catheter ablation (CA) is an established treatment for drug-resistant Afib, yet recurrence remains a major concern, impacting quality of life in a significant portion of patients. Inflammation plays a critical role in the recurrence of Afib after ablation, with systemic inflammatory markers such as C-reactive protein being linked to higher recurrence rates. In this editorial, we discuss the study by Wang , published in the latest issue, which investigates the predictive role of the systemic immune inflammation index (SII) in Afib recurrence following radiofrequency CA. Elevated pre-ablation SII levels are identified as an independent predictor of recurrence, significantly enhancing the predictive power of the APPLE score. Integration of SII improved the APPLE score's predictive performance, as shown by enhanced area under the curve, net reclassification improvement, and integrated discrimination improvement. This combined model highlights the importance of both structural and inflammatory factors in Afib recurrence, offering a more personalized approach to patient management. Additionally, the affordability and accessibility of SII enhance its practicality in clinical workflows. The study by Wang underscores the potential of integrating SII with existing scoring systems to refine risk stratification and optimize treatment strategies. Future research should validate these findings across diverse populations, explore limitations such as the potential influence of comorbidities on SII reliability, and investigate additional biomarkers to enhance predictive accuracy.
心房颤动(房颤)是一种常见的心律失常,对公众健康具有重大影响,全球数百万患者受其困扰。导管消融术(CA)是治疗耐药性房颤的既定方法,但复发仍是一个主要问题,严重影响了很大一部分患者的生活质量。炎症在消融术后房颤复发中起关键作用,全身炎症标志物如C反应蛋白与较高的复发率相关。在这篇社论中,我们讨论了王[等人]发表在最新一期的研究,该研究探讨了全身免疫炎症指数(SII)在射频CA术后房颤复发中的预测作用。消融术前SII水平升高被确定为复发的独立预测因素,显著提高了APPLE评分的预测能力。如曲线下面积增加、净重新分类改善和综合鉴别改善所示,SII的纳入提高了APPLE评分的预测性能。这种联合模型突出了结构和炎症因素在房颤复发中的重要性,为患者管理提供了更个性化的方法。此外,SII的可负担性和可及性增强了其在临床工作流程中的实用性。王[等人]的研究强调了将SII与现有评分系统相结合以优化风险分层和治疗策略的潜力。未来的研究应在不同人群中验证这些发现,探索诸如合并症对SII可靠性的潜在影响等局限性,并研究其他生物标志物以提高预测准确性。