{"title":"射频导管消融房颤患者的表型加速与临床结果的相关性","authors":"Zhihao Zhao, Xiaoqin Hu, Chaoqun Zhang, Chengzong Li, Fengyun Zhang, Yu Yang","doi":"10.2147/JIR.S517228","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To investigate the relationship between phenotypic age (PhenoAge) and accelerated phenotypic age (PhenoAgeAccel) and recurrence of atrial fibrillation (AF) in patients after radiofrequency catheter ablation (RFCA).</p><p><strong>Patients and methods: </strong>Preoperative PhenoAge and PhenoAgeAccel were determined in AF patients undergoing RFCA. We used logistic regression models and subgroup analysis to study the relationship between PhenoAge and PhenoAgeAccel and the risk of AF recurrence. As for revealing the value of PhenoAgeAccel in predicting AF recurrence, the ROC curve analysis was performed. To further detect the enhancement role of in PhenoAgeAccel in the APPLE score and a model of established risk factors in predicting AF recurrence, C-statistics, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) was conducted.</p><p><strong>Results: </strong>A total of 322 patients with AF who underwent RFCA in our hospital were included in the present study. The mean follow-up period was 21 months. The frequency of AF recurrence increased gradually as the PhenoAgeAccel index rose. The optimal cut-off value of the PhenoAgeAccel index was -0.338. Patients with PhenoAgeAccel ≥ -0.338 had a significantly greater likelihood of experiencing recurrent AF than those with PhenoAgeAccel <-0.338 (OR 3.989, 95% CI 2.006-7.933, <i>p </i>< 0.001). The association was also reflected in each subgroup. Incorporating the PhenoAgeAccel into the APPLE score and the existing model of established risk factors for recurrence may result in enhancements to the C-statistics, NRI and IDI (<i>p</i><0.05), respectively.</p><p><strong>Conclusion: </strong>PhenoAgeAccel was positively and independently associated with AF recurrence following RFCA.</p>","PeriodicalId":16107,"journal":{"name":"Journal of Inflammation Research","volume":"18 ","pages":"6293-6304"},"PeriodicalIF":4.2000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12087791/pdf/","citationCount":"0","resultStr":"{\"title\":\"Correlation Between PhenoAgeAccel and Clinical Outcomes in Atrial Fibrillation Patients Undergoing Radiofrequency Catheter Ablation.\",\"authors\":\"Zhihao Zhao, Xiaoqin Hu, Chaoqun Zhang, Chengzong Li, Fengyun Zhang, Yu Yang\",\"doi\":\"10.2147/JIR.S517228\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To investigate the relationship between phenotypic age (PhenoAge) and accelerated phenotypic age (PhenoAgeAccel) and recurrence of atrial fibrillation (AF) in patients after radiofrequency catheter ablation (RFCA).</p><p><strong>Patients and methods: </strong>Preoperative PhenoAge and PhenoAgeAccel were determined in AF patients undergoing RFCA. We used logistic regression models and subgroup analysis to study the relationship between PhenoAge and PhenoAgeAccel and the risk of AF recurrence. As for revealing the value of PhenoAgeAccel in predicting AF recurrence, the ROC curve analysis was performed. To further detect the enhancement role of in PhenoAgeAccel in the APPLE score and a model of established risk factors in predicting AF recurrence, C-statistics, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) was conducted.</p><p><strong>Results: </strong>A total of 322 patients with AF who underwent RFCA in our hospital were included in the present study. The mean follow-up period was 21 months. The frequency of AF recurrence increased gradually as the PhenoAgeAccel index rose. The optimal cut-off value of the PhenoAgeAccel index was -0.338. Patients with PhenoAgeAccel ≥ -0.338 had a significantly greater likelihood of experiencing recurrent AF than those with PhenoAgeAccel <-0.338 (OR 3.989, 95% CI 2.006-7.933, <i>p </i>< 0.001). The association was also reflected in each subgroup. Incorporating the PhenoAgeAccel into the APPLE score and the existing model of established risk factors for recurrence may result in enhancements to the C-statistics, NRI and IDI (<i>p</i><0.05), respectively.</p><p><strong>Conclusion: </strong>PhenoAgeAccel was positively and independently associated with AF recurrence following RFCA.</p>\",\"PeriodicalId\":16107,\"journal\":{\"name\":\"Journal of Inflammation Research\",\"volume\":\"18 \",\"pages\":\"6293-6304\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12087791/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Inflammation Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/JIR.S517228\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Inflammation Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/JIR.S517228","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Correlation Between PhenoAgeAccel and Clinical Outcomes in Atrial Fibrillation Patients Undergoing Radiofrequency Catheter Ablation.
Purpose: To investigate the relationship between phenotypic age (PhenoAge) and accelerated phenotypic age (PhenoAgeAccel) and recurrence of atrial fibrillation (AF) in patients after radiofrequency catheter ablation (RFCA).
Patients and methods: Preoperative PhenoAge and PhenoAgeAccel were determined in AF patients undergoing RFCA. We used logistic regression models and subgroup analysis to study the relationship between PhenoAge and PhenoAgeAccel and the risk of AF recurrence. As for revealing the value of PhenoAgeAccel in predicting AF recurrence, the ROC curve analysis was performed. To further detect the enhancement role of in PhenoAgeAccel in the APPLE score and a model of established risk factors in predicting AF recurrence, C-statistics, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) was conducted.
Results: A total of 322 patients with AF who underwent RFCA in our hospital were included in the present study. The mean follow-up period was 21 months. The frequency of AF recurrence increased gradually as the PhenoAgeAccel index rose. The optimal cut-off value of the PhenoAgeAccel index was -0.338. Patients with PhenoAgeAccel ≥ -0.338 had a significantly greater likelihood of experiencing recurrent AF than those with PhenoAgeAccel <-0.338 (OR 3.989, 95% CI 2.006-7.933, p < 0.001). The association was also reflected in each subgroup. Incorporating the PhenoAgeAccel into the APPLE score and the existing model of established risk factors for recurrence may result in enhancements to the C-statistics, NRI and IDI (p<0.05), respectively.
Conclusion: PhenoAgeAccel was positively and independently associated with AF recurrence following RFCA.
期刊介绍：
An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.
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