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Updated: Jan 24, 2026

Primary Outcome Assessment in a Pig Model of Acute Myocardial Infarction
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Development and validation of a nomogram for predicting atrial fibrillation after percutaneous coronary intervention

Yi-Bo Li1, Zhi-Qiang Liu1, Xian-Wei Tian1

  • 1Department of Cardiovascular Medicine 4, Xinxiang Central Hospital, Xinxiang, Henan Province, China.

Frontiers in Medicine
|January 23, 2026
PubMed

Insights

This study developed a nomogram to predict new-onset atrial fibrillation (AF) after percutaneous coronary intervention (PCI) in acute myocardial infarction (AMI) patients. The model accurately identifies high-risk individuals for improved monitoring and intervention strategies.

Area of Science:

  • Cardiology
  • Clinical Prediction Models
  • Interventional Cardiology

Background:

  • Atrial fibrillation (AF) is a common complication following percutaneous coronary intervention (PCI) for acute myocardial infarction (AMI).
  • Post-PCI AF is associated with adverse patient outcomes.
  • Early identification of patients at high risk for AF is crucial for timely intervention.

Purpose of the Study:

  • To develop and validate a predictive nomogram for new-onset AF in AMI patients undergoing PCI.
  • To identify independent predictors of post-PCI AF.

Main Methods:

  • A retrospective cohort of 268 AMI patients undergoing PCI was analyzed.
  • Multivariate logistic regression identified predictors of post-PCI AF.
  • A nomogram was constructed and validated for discriminatory performance and calibration.

Main Results:

  • Six independent predictors were identified: Gensini score, left atrial diameter, serum creatinine, prognostic nutritional index, symptom onset-to-PCI time, and post-PCI TIMI flow grade.
  • The nomogram demonstrated excellent discrimination (AUC = 0.916) and strong calibration.
  • The model showed good internal validity and potential clinical utility.

Conclusions:

  • A predictive nomogram incorporating key clinical and procedural factors was developed for post-PCI AF in AMI patients.
  • The nomogram exhibits high accuracy and good internal validity.
  • Further validation in larger, multicenter cohorts is warranted.
Abstract

Keywords:
acute myocardial infarctionatrial fibrillationnomogrampercutaneous coronary interventionrisk prediction

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