Chuanyi Sang, Renjie Gu, Tian Xia, Yameng Shao, Ye Zhu, Fukun Chen, Lei Sun, Chaoqun Zhang, Xiang Gu
{"title":"甘油三酯-葡萄糖指数预测非糖尿病患者消融后房颤的早期复发。","authors":"Chuanyi Sang, Renjie Gu, Tian Xia, Yameng Shao, Ye Zhu, Fukun Chen, Lei Sun, Chaoqun Zhang, Xiang Gu","doi":"10.1111/pace.70059","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>This study aimed to investigate the predictive value of the triglyceride-glucose (TyG) index for early recurrence (ER) of atrial fibrillation (AF) after radiofrequency catheter ablation (RFCA) in non-diabetic patients.</p><p><strong>Methods: </strong>This retrospective study included patients with AF who underwent RFCA for the first time from January 2020 to November 2022. According to whether they experienced the recurrence during follow-up, patients were divided into early and non-early recurrence groups. We performed the logistic regression analysis models and the receiver operating characteristic (ROC) curve to explore the value of the TyG index in predicting the ER of AF after RFCA.</p><p><strong>Results: </strong>A total of 417 non-diabetic patients with AF after RFCA were included in this study. Multivariate analysis identified the TyG index, left atrial diameter (LAD), and age as independent risk factors for ER of AF after RFCA in non-diabetic patients. ROC analysis demonstrated that the TyG index predicted ER with an area under the curve (AUC) of 0.687. Incorporating the TyG index into a clinical model (containing age and LAD) significantly improved its predictive value, with a net reclassification improvement (NRI) of 0.629 and an integrated discrimination improvement (IDI) of 0.068 CONCLUSIONS: The TyG index is an independent predictor of early AF recurrence after catheter ablation in non-diabetic patients.</p>","PeriodicalId":520740,"journal":{"name":"Pacing and clinical electrophysiology : PACE","volume":" ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Triglyceride-Glucose Index Predicts Early Recurrence of Atrial Fibrillation After Ablation in Non-Diabetic Patients.\",\"authors\":\"Chuanyi Sang, Renjie Gu, Tian Xia, Yameng Shao, Ye Zhu, Fukun Chen, Lei Sun, Chaoqun Zhang, Xiang Gu\",\"doi\":\"10.1111/pace.70059\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>This study aimed to investigate the predictive value of the triglyceride-glucose (TyG) index for early recurrence (ER) of atrial fibrillation (AF) after radiofrequency catheter ablation (RFCA) in non-diabetic patients.</p><p><strong>Methods: </strong>This retrospective study included patients with AF who underwent RFCA for the first time from January 2020 to November 2022. According to whether they experienced the recurrence during follow-up, patients were divided into early and non-early recurrence groups. We performed the logistic regression analysis models and the receiver operating characteristic (ROC) curve to explore the value of the TyG index in predicting the ER of AF after RFCA.</p><p><strong>Results: </strong>A total of 417 non-diabetic patients with AF after RFCA were included in this study. Multivariate analysis identified the TyG index, left atrial diameter (LAD), and age as independent risk factors for ER of AF after RFCA in non-diabetic patients. ROC analysis demonstrated that the TyG index predicted ER with an area under the curve (AUC) of 0.687. Incorporating the TyG index into a clinical model (containing age and LAD) significantly improved its predictive value, with a net reclassification improvement (NRI) of 0.629 and an integrated discrimination improvement (IDI) of 0.068 CONCLUSIONS: The TyG index is an independent predictor of early AF recurrence after catheter ablation in non-diabetic patients.</p>\",\"PeriodicalId\":520740,\"journal\":{\"name\":\"Pacing and clinical electrophysiology : PACE\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2025-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pacing and clinical electrophysiology : PACE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/pace.70059\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pacing and clinical electrophysiology : PACE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/pace.70059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Triglyceride-Glucose Index Predicts Early Recurrence of Atrial Fibrillation After Ablation in Non-Diabetic Patients.
Introduction: This study aimed to investigate the predictive value of the triglyceride-glucose (TyG) index for early recurrence (ER) of atrial fibrillation (AF) after radiofrequency catheter ablation (RFCA) in non-diabetic patients.
Methods: This retrospective study included patients with AF who underwent RFCA for the first time from January 2020 to November 2022. According to whether they experienced the recurrence during follow-up, patients were divided into early and non-early recurrence groups. We performed the logistic regression analysis models and the receiver operating characteristic (ROC) curve to explore the value of the TyG index in predicting the ER of AF after RFCA.
Results: A total of 417 non-diabetic patients with AF after RFCA were included in this study. Multivariate analysis identified the TyG index, left atrial diameter (LAD), and age as independent risk factors for ER of AF after RFCA in non-diabetic patients. ROC analysis demonstrated that the TyG index predicted ER with an area under the curve (AUC) of 0.687. Incorporating the TyG index into a clinical model (containing age and LAD) significantly improved its predictive value, with a net reclassification improvement (NRI) of 0.629 and an integrated discrimination improvement (IDI) of 0.068 CONCLUSIONS: The TyG index is an independent predictor of early AF recurrence after catheter ablation in non-diabetic patients.