Association between insulin resistance-related indices and the risk of recurrence after catheter ablation in patients with nonvalvular atrial fibrillation.

IF 15.6 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Zhaofen Wang, Haijuan Wang, Xiaoxue Guo, Chu Zhang, Peng Chang
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引用次数: 0

Abstract

Background: Insulin resistance (IR) is closely associated with the development and recurrence of atrial fibrillation (AF). Several non-insulin-based surrogate markers of insulin resistance, including the triglyceride-glucose index (TyG), triglyceride-glucose-body mass index (TyG-BMI), metabolic score for insulin resistance (METS-IR), triglyceride-to-high-density lipoprotein cholesterol ratio (TG/HDL-C), estimated glucose disposal rate (eGDR), and C-reactive protein-triglyceride-glucose index (CTI), can be calculated from routine clinical biomarkers. However, the value of these indices in predicting recurrence after catheter ablation for AF remains unclear. In particular, CTI, a novel marker integrating inflammatory and metabolic status, has not been fully explored for its potential role in predicting post-ablation AF recurrence. This study aimed to systematically evaluate the association and predictive performance of six insulin resistance surrogate markers for AF recurrence after catheter ablation.

Methods: This retrospective two-center cohort study included 590 patients with nonvalvular AF who underwent first-time catheter ablation between January 2022 and March 2025. Six IR surrogate indices were calculated, and AF recurrence within 1 year was defined as the primary endpoint. Multivariable Cox regression, Kaplan-Meier analysis, restricted cubic spline (RCS) analysis, C-statistic, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to assess associations and predictive value.

Results: During 1-year follow-up, 167 patients experienced recurrence (28.31%). Multivariable Cox analysis showed that lower eGDR and higher TyG, TyG-BMI, METS-IR, and CTI were associated with increased recurrence risk, with more stable associations observed for eGDR, TyG-BMI, METS-IR, and CTI. Kaplan-Meier and RCS analyses further supported stratified differences and exposure-response relationships for some indices. For predictive performance, eGDR showed the most favorable overall performance, while CTI, TyG-BMI, and METS-IR also provided incremental predictive value. TyG and TG/HDL-C showed relatively limited incremental value. After false discovery rate correction, subgroup analyses showed generally consistent results.

Conclusion: Among the six IR surrogate indices, eGDR, CTI, TyG-BMI, and METS-IR were associated with AF recurrence after catheter ablation. eGDR showed the most favorable overall predictive performance. These indices may serve as adjunctive markers for post-ablation recurrence risk stratification, although prospective validation is needed.

非瓣膜性房颤患者导管消融后胰岛素抵抗相关指标与复发风险的关系
背景:胰岛素抵抗(Insulin resistance, IR)与房颤(atrial fibrillation, AF)的发生和复发密切相关。几种非胰岛素基础的胰岛素抵抗替代标志物,包括甘油三酯-葡萄糖指数(TyG)、甘油三酯-葡萄糖-体重指数(TyG- bmi)、胰岛素抵抗代谢评分(METS-IR)、甘油三酯-高密度脂蛋白胆固醇比(TG/HDL-C)、估计葡萄糖处置率(eGDR)和c反应蛋白-甘油三酯-葡萄糖指数(CTI),可以从常规临床生物标志物中计算出来。然而,这些指标在预测房颤导管消融后复发中的价值尚不清楚。特别是CTI,一种整合炎症和代谢状态的新标志物,尚未充分探索其在预测消融后房颤复发中的潜在作用。本研究旨在系统评估6种胰岛素抵抗替代指标与房颤导管消融后复发的相关性和预测性能。方法:这项回顾性双中心队列研究纳入了590例非瓣膜性房颤患者,这些患者在2022年1月至2025年3月期间首次接受了导管消融。计算6项IR替代指标,并将1年内房颤复发定义为主要终点。采用多变量Cox回归、Kaplan-Meier分析、限制性三次样条(RCS)分析、c统计、净重分类改善(NRI)和综合判别改善(IDI)来评估相关性和预测值。结果:随访1年,167例患者复发,占28.31%。多变量Cox分析显示,较低的eGDR和较高的TyG、TyG- bmi、METS-IR和CTI与复发风险增加相关,eGDR、TyG- bmi、METS-IR和CTI的相关性更稳定。Kaplan-Meier和RCS分析进一步支持了某些指标的分层差异和暴露-反应关系。在预测性能方面,eGDR表现出最有利的总体性能,而CTI、TyG-BMI和METS-IR也提供了增量预测价值。TyG和TG/HDL-C的增量相对有限。修正错误发现率后,亚组分析结果大致一致。结论:6项IR替代指标中,eGDR、CTI、TyG-BMI、METS-IR与导管消融后AF复发相关。eGDR显示出最有利的整体预测性能。这些指标可以作为消融后复发风险分层的辅助标记,尽管需要前瞻性验证。
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来源期刊
Cardiovascular Diabetology
Cardiovascular Diabetology 医学-内分泌学与代谢
CiteScore
12.30
自引率
15.10%
发文量
240
审稿时长
1 months
期刊介绍: Cardiovascular Diabetology is a journal that welcomes manuscripts exploring various aspects of the relationship between diabetes, cardiovascular health, and the metabolic syndrome. We invite submissions related to clinical studies, genetic investigations, experimental research, pharmacological studies, epidemiological analyses, and molecular biology research in this field.
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