ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2025
The Role of P-Wave Variables in Enhancing Prediction of New-Onset Atrial Fibrillation in Patients With Acute Myocardial Infarction.
Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- A practical ECG-based model for early identification of acute heart failure following acute myocardial infarction.Scientific reports · 2026Article
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Abstract
backgroundAfter acute myocardial infarction (AMI), it is common to observe new-onset atrial fibrillation (NOAF), which is often related to a negative prognosis. Some P-wave variables (P-wave duration [PWD], P-wave amplitude, and interatrial block [IAB]), reflecting the process of electrical and structural remodeling, could predict the risk of atrial fibrillation (AF). This study aimed to assess the predictive value of P-wave variables for post-AMI NOAF.
methodsWe retrospectively analyzed 1581 AMI patients with no prior AF, using follow-up data from January 2023 to January 2024. P-wave variables were measured, and patients were grouped based on in-hospital NOAF occurrence.
resultsOverall, 164 (10.3%) of the 1581 patients had NOAF. The age (61.08 ± 12.02 vs. 67.91 ± 11.60, p < 0.001), left atrial size (36.31 ± 3.94 vs. 39.12 ± 5.51, p < 0.001), Brain Natriuretic Peptide (1588.45 ± 3346.18 vs. 3864.39 ± 6251.92, p < 0.001), P-wave variables (PWD: 102.78 ± 12.56 vs. 117.88 ± 18.81, p < 0.001; P-wave amplitude: 0.12 ± 0.04 vs. 0.13 ± 0.04, p = 0.041; interatrial block: 89.6% vs. 10.3%, p < 0.001), congestive heart failure (4.7% vs. 23.2%, p < 0.001), and Killip > 1 (25.3% vs. 55.5%, p < 0.001) showed significant differences between the non-AF and NOAF groups. P-wave variables were significantly associated with an increased risk of NOAF in multivariable regression analysis.
conclusionsThe addition of P-wave variables to AF risk factors from literature and guidelines significantly improved NOAF risk discrimination. P-wave variables were strongly associated with NOAF after AMI. Adding these variables enhanced the predictive performance for post-AMI NOAF.
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