Cakmak Abdulkadir, Cetin Sirin, Kahraman Ercan, Cetin Meryem
Department of Cardiology, Faculty of Medicine, Amasya University, Amasya 05200, Türkiye.
Department of Biostatistics, Faculty of Medicine, Amasya University, Amasya 05200, Türkiye.
J Clin Med. 2025 Jun 29;14(13):4601. doi: 10.3390/jcm14134601.
Nonvalvular atrial fibrillation (NVAF) is a prevalent arrhythmia associated with elevated risks of stroke, systemic embolism, and mortality. Emerging evidence underscores the pivotal role of inflammation in NVAF pathogenesis. The CHADS-VA score is currently the most powerful tool used in the management of patients with atrial fibrillation, and integrating novel inflammatory biomarkers-neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI)-into this score may enhance prognostic accuracy and guide personalized therapy. In this observational case-control study, a cohort of 330 NVAF patients and 201 controls, inflammatory and biochemical parameters were measured and compared, we employed multivariate logistic regression and ROC analyses to validate the discriminative power of novel inflammatory indexes and novel CHADS-VA score, setting a new benchmark for biomarker integration in NVAF management. Inflammatory indexes (NLR, PLR, SII, SIRI) were significantly higher in NVAF patients compared to controls ( < 0.001). Multivariate analysis identified NLR (OR = 4.02), PLR (OR = 1.04), SII (OR = 1.01), and SIRI (OR = 1.87) as independent NVAF risk markers. The CHADS-VA score showed the strongest association with NVAF (OR = 5.55), and an optimal cutoff of ≥2 yielded 88.18% sensitivity and 74.63% specificity. Inflammatory markers NLR, PLR, SII, and SIRI, when assessed alongside the CHADS-VA score, offer significant and complementary prognostic insight for patients with NVAF. These findings support the integration of inflammatory indexes into routine clinical risk assessment models to enhance early identification of high-risk individuals and inform personalized therapeutic strategies. Moreover, our findings provide a rationale for developing composite risk scores in future studies that integrate inflammatory biomarkers with the CHADS-VA score (e.g., a CHADS-VA-Inflammation Score). Further large-scale, longitudinal studies are warranted to validate these results and explore the benefits of inflammation-targeted interventions.
非瓣膜性心房颤动(NVAF)是一种常见的心律失常,与中风、全身性栓塞和死亡风险升高相关。新出现的证据强调了炎症在NVAF发病机制中的关键作用。CHADS-VA评分是目前用于管理心房颤动患者的最有力工具,将新型炎症生物标志物——中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、全身免疫炎症指数(SII)和全身炎症反应指数(SIRI)纳入该评分可能会提高预后准确性并指导个性化治疗。在这项观察性病例对照研究中,对330例NVAF患者和201例对照者进行了队列研究,测量并比较了炎症和生化参数,我们采用多变量逻辑回归和ROC分析来验证新型炎症指标和新型CHADS-VA评分的判别能力,为NVAF管理中的生物标志物整合设定了新的基准。与对照组相比,NVAF患者的炎症指标(NLR、PLR、SII、SIRI)显著更高(<0.001)。多变量分析确定NLR(OR = 4.02)、PLR(OR = 1.04)、SII(OR = 1.01)和SIRI(OR = 1.87)为独立的NVAF风险标志物。CHADS-VA评分与NVAF的关联最强(OR = 5.55),最佳截断值≥2时,灵敏度为88.18%,特异性为74.63%。炎症标志物NLR、PLR、SII和SIRI与CHADS-VA评分一起评估时,可为NVAF患者提供显著且互补的预后见解。这些发现支持将炎症指标纳入常规临床风险评估模型,以加强对高危个体的早期识别并为个性化治疗策略提供依据。此外,我们的发现为未来研究开发将炎症生物标志物与CHADS-VA评分整合的综合风险评分(例如CHADS-VA-炎症评分)提供了理论依据。有必要进行进一步的大规模纵向研究来验证这些结果,并探索针对炎症的干预措施的益处。