Post-Stroke Atrial Fibrillation Predicted By P-wave Variability Analysis From a Single-Lead ECG.

Federica Ricci1, massimiliano rizzo2, Giovanni Calcagnini3, Stefano Strano4, Federica Censi5
1University of Roma Tre, Italian National Institute of Health, 2Department of Heart and Great Vessels "A. Reale",. Sapienza University of Rome, 3Italian National Institute of Health - ISS, 4Sapienza university of Rome, 5Department of Cardiovascular, Endocrine-metabolic Diseases and Aging Italian National Institute of Health


Abstract

Introduction: The P-wave analysis of the ECG signal provides detailed insights into the atrial electrical impulse path, detecting potential anomalies indicative of atrial arrhythmias. Recent scientific evidence prompts a new paradigm for the relationship between atrial fibrillation (AF) and stroke according to which post-stroke pathophysiology is complex and can lead to atrial cardiomyopathy causing AF. Therefore, identifying predictive factors within the P-wave becomes crucial for better risk stratification of post-stroke AF, ultimately optimizing patient treatment and management. Traditionally, given the low SNR associated with the P-wave, the analysis of the P-wave features has been performed on the averaged P-wave template technique. Alternatively, approaches focusing on maximizing P-wave amplitude in ECG leads were explored. Technological advancement enables high-resolution ECG (with LSB < 0.1uV) allowing beat-by-beat P-wave analysis, even for single-lead ECG. This paper aimed to analyze the potential of single-lead ECG P-wave analysis in indicating atrial substrate modification correlated with post-stroke pathophysiology.

Methods:66 patients with ischemic stroke were recruited and initiated EKG continuous monitoring immediately after stroke onset for 7 days. On day 2, a 5-minute-long EKG trace was recorded for each patient using a single-lead high-resolution acquisition system. The extracted P-waves were analyzed for duration (Pdur), fragmentation (Pfrag), change of polarity (PCP), and beat-to-beat variability (Pvar). The study population was divided into AF-detected and control groups, with statistical significance assessed using the Mann-Whitney unpaired t-test.

Results: AF was detected in 15 patients. All P-wave parameters resulted to be higher in patients with AF in the control group (Pdur: 104,5+/-23,3 ms vs. 133,3+/-6,4 ms, p<0,01, Pfrag: 2,28+/-1,4 vs 3,8+/-1,7, p<0,05, PCP 0,68+/-0,6 vs 1,3+/-0,5, p<0,05, Pvar 0,22+/-0,09 vs 0,29 +/- 0,09, p<0,05).

Conclusions: This study showed for the first time the potential link between single-lead ECG P-wave analysis and the electrophysiological changes of the atria in post-stroke patients.