Yang N, Li X, Wu B, Dai L, Yang S, Zhang Q, Jia S. The Role of P-Wave Variables in Enhancing Prediction of New-Onset Atrial Fibrillation in Patients With Acute Myocardial Infarction.
Ann Noninvasive Electrocardiol 2025;
30:e70041. [PMID:
39692705 DOI:
10.1111/anec.70041]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Accepted: 11/11/2024] [Indexed: 12/19/2024] Open
Abstract
BACKGROUND
After 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.
METHODS
We 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.
RESULTS
Overall, 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.
CONCLUSIONS
The 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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