PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 15, 2026Medicine0 citationsOpen Access

Study on the application of serological indicators combined with ultrasonic cardiogram in predicting recurrence of radiofrequency ablation in atrial fibrillation patients

View Full Paper
JJJian JinSHShen HuangKFKun Feng

Key Points

  • To evaluate if serological and echocardiographic indicators predict recurrence of atrial fibrillation after radiofrequency ablation.
  • Retrospective observational study of 97 nonvalvular AF patients who underwent 1st-time RFA.
  • Patients classified into recurrence and nonrecurrence groups based on AF recurrence within 12 months.
  • Logistic regression and receiver operating characteristic curve analysis used to assess predictive performance.
  • Elevated NT-proBNP and cTnI, along with larger LAD and LVDD, identified as independent risk factors for recurrence.
  • Higher LVEF was found to be protective against recurrence.
  • The predictive model shows an area under the curve of 0.771, with 74.1% sensitivity and 75.7% specificity.

Abstract

Atrial fibrillation (AF) is associated with high rates of recurrence after radiofrequency ablation (RFA). This retrospective observational study was conducted in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology statement to evaluate whether combined serological and echocardiographic indicators predict postablation recurrence. We retrospectively reviewed 97 nonvalvular AF patients who underwent 1st-time RFA at our institution between April 2021 and April 2023. Patients were classified into recurrence (n = 21) and nonrecurrence (n = 76) groups based on documented AF recurrence within 12 months. Data collection followed prespecified variable definitions: demographic and clinical characteristics, serological markers (N-terminal pro-B-type natriuretic peptide NT-proBNP and cardiac troponin I cTnI), and standardized echocardiographic parameters (left atrial diameter LAD, left ventricular end-diastolic diameter LVDD, and left ventricular ejection fraction LVEF). We controlled for selection bias by applying strict inclusion/exclusion criteria and blinded measurement of all variables. Logistic regression identified independent predictors of recurrence, and receiver operating characteristic curve analysis quantified predictive performance. After adjustment for confounders, elevated NT-proBNP, cTnI, LAD, and LVDD were independent risk factors (OR range 2.401–3.251; P < .05), while higher LVEF was protective (OR = 0.279; P < .05). The combined model achieved an area under the curve of 0.771 (95% CI: 0.660–0.883; sensitivity 74.1%, specificity 75.7%). In this retrospective study, the combined measurement of NT-proBNP, cTnI, LAD, LVDD, and LVEF demonstrated robust discriminatory power for predicting AF recurrence after RFA.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Jin et al. (2026) studied this question.

synapsesocial.com/papers/69b606c483145bc643d1d000https://doi.org/10.1097/md.0000000000047014
Ask AI
Helpful
Bookmark
Share
View Full Paper