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

The nomogram developed from independent risk factors for NOAF exhibits significant predictive accuracy and clinical relevance for evaluating the risk of NOAF in AMI patients following PCI, thereby enabling the identification of high-risk individuals for targeted interventions.

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Publication Details

Journal
BMC Cardiovascular Disorders
Published
2024-11-13
DOI
https://doi.org/10.1186/s12872-024-04326-8
Citations
3
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
1.21
Controls
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article

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

Xiaojuan Zhou, Lixiang Zhang, Jiao-Yu Cao
3 citations
BMC Cardiovascular Disorders
Atrial Fibrillation Management and Outcomes
1.21
article

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

Xiaojuan Zhou, Lixiang Zhang, Jiao-Yu Cao
article en
3 citations

Abstract

The nomogram developed from independent risk factors for NOAF exhibits significant predictive accuracy and clinical relevance for evaluating the risk of NOAF in AMI patients following PCI, thereby enabling the identification of high-risk individuals for targeted interventions.

BMC Cardiovascular DisordersVol. 24(1)
University of Science and Technology of China (CN)
Good health and well-being
Openalex Percentile: Top 18%
Atrial Fibrillation Management and Outcomes
1.21
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