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Construction and validation of a nomogram prediction model for the risk of new-onset atrial fibrillation following percutaneous coronary intervention in acute myocardial infarction patients

  • 0Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, No. 1, Swan Lake Road, Hefei, Anhui Province, 230001, China.
Bmc Cardiovascular Disorders +

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November 13, 2024

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November 13, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study identified key risk factors for new-onset atrial fibrillation (NOAF) after percutaneous coronary intervention (PCI) in acute myocardial infarction (AMI) patients. A predictive nomogram was developed to accurately assess NOAF risk, aiding early intervention for high-risk individuals.

Area Of Science

  • Cardiology
  • Medical Informatics
  • Clinical Research

Background

  • New-onset atrial fibrillation (NOAF) is a significant complication following percutaneous coronary intervention (PCI) in patients with acute myocardial infarction (AMI).
  • Identifying patients at high risk for NOAF post-PCI is crucial for timely and targeted therapeutic strategies.

Purpose Of The Study

  • To investigate the independent risk factors associated with new-onset atrial fibrillation (NOAF) in acute myocardial infarction (AMI) patients undergoing percutaneous coronary intervention (PCI).
  • To develop and validate a predictive nomogram for assessing the risk of NOAF in this patient population.

Main Methods

  • A retrospective cohort study included 397 AMI patients who underwent PCI.
  • Independent risk factors were identified using univariate and multivariate logistic regression.
  • A predictive nomogram was constructed and validated using receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis (DCA), and Bootstrap resampling.

Main Results

  • Independent risk factors for NOAF included age, left atrial diameter (LAD), Gensini score, N-terminal pro-B-type natriuretic peptide (NT-proBNP), alanine transaminase (ALT), low-density lipoprotein cholesterol (LDL-C), left ventricular end-systolic diameter (LVESD), and ventricular rate.
  • The developed nomogram demonstrated strong discriminative capability with an area under the curve (AUC) of 0.925.
  • The nomogram showed robust calibration and offered optimal clinical net benefit across a wide range of NOAF probability thresholds.

Conclusions

  • The developed nomogram accurately predicts the risk of new-onset atrial fibrillation (NOAF) in acute myocardial infarction (AMI) patients post-percutaneous coronary intervention (PCI).
  • This tool provides significant clinical relevance for identifying high-risk individuals, facilitating targeted interventions and improving patient outcomes.

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