Establish and validate a nomogram model to predict the risk of recur-rence one year after radiofrequency ablation in patients with atrial fibril-lation
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R541.75

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    Abstract:

    Objective:To investigate the factors associated with the recurrence of(atrial fibrillation,AF)1 year after(Ra-diofrequency ablation,RFA),and to construct a predictive model and evaluate its clinical performance.Methods:A total of 228 AF patients who were underwent their first cardiac RFA were included as the research subjects.The patients were divided into a development set and a validation set.Univariate and multivariate Logistic regression analyses were employed to identify inde-pendent risk factors for recurrence after RFA using the included variables.A nomogram model for predicting 1-year recurrence after RFA was constructed using R software.Finally,the model was validated and evaluated through concordance statistics,cali-bration plots,and decision curve analysis,respectively.Results:Multivariate Logistic regression analysis revealed that the type of atrial fibrillation(OR=0.107,95%CI:0.034~0.299,P<0.001),hypertension(OR=2.844,95%CI:1.064~8.117,P=0.042),subclinical thyroid dysfunction(OR=12.786,95%CI:2.063~86.374,P=0.007),Left Atrial Diameter(LAD,OR=1.178,95%CI:1.052~1.335,P=0.006),and Lipoprotein(a)[Lp(a),OR=1.002,95%CI:1.001~1.004,P=0.008]were all independent risk factors for AF recurrence 1 year after RFA.The nomogram developed based on these factors demonstrated a concordance index of 0.846(95%CI:0.785~0.905)in the development set for predicting AF recurrence 1 year after RFA,and a concordance index of 0.744(95%CI:0.601~0.890)in the validation set.Internal validation of the model through 1,000 bootstrap resampling showed that the calibration curve indicated a good agreement between the nomogram's predicted out-comes and the observed outcomes.Decision curve analysis suggested that the nomogram exhibited good predictive ability in both the development and validation sets.Conclusion:The nomogram model constructed based on atrial fibrillation type,LAD,hyper-tension,subclinical thyroid dysfunction,and Lp(a)demonstrates good discrimination and accuracy.It has certain predictive val-ue for atrial fibrillation recurrence one year after RFA,and aids clinicians in formulating individualized patient recurrence risk assessments.

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刘微;王玉兵;.建立并验证列线图模型预测心房颤动患者射频消融术后1年的复发风险[J]. Journal of North Sichuan Medical College,2025,40(11):1468-1475.

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  • Online: December 22,2025
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