Related Experiment Video
Updated: Feb 1, 2026

Catheter Ablation in Combination With Left Atrial Appendage Closure for Atrial Fibrillation
Published on: February 26, 2013
Electrocardiographic Predictors of Silent Atrial Fibrillation in Cryptogenic Stroke
Maurizio Acampa1, Pietro Enea Lazzerini2, Francesca Guideri1
1Stroke Unit, Department of Neurological and Neurosensorial Sciences, Azienda Ospedaliera Universitaria Senese, "Santa Maria alle Scotte" General Hospital, Siena, Italy.
Insights
High P-wave dispersion and abnormal P-wave axis on ECG predict atrial fibrillation (AF) in cryptogenic stroke (CS) patients. These electrocardiographic markers help identify individuals at increased risk for developing AF after stroke.
Area of Science:
- Cardiology
- Neurology
- Medical Diagnostics
Background:
- Prolonged screening for atrial fibrillation (AF) is recommended post-cryptogenic stroke (CS).
- Electrocardiographic markers of atrial cardiopathy are explored to identify high-risk patients for AF.
- Identifying AF is crucial for stroke management and prevention.
Purpose of the Study:
- To evaluate the relationship between electrocardiographic parameters and in-hospital AF occurrence after acute CS.
- To identify predictors of AF in patients with CS.
- To assess the utility of ECG markers for AF risk stratification.
Main Methods:
- 222 patients with CS underwent 12-lead resting ECG and 7-day in-hospital monitoring.
- Evaluated ECG parameters included P-wave duration, dispersion (PWD), index, axis, and atrial size.
- Logistic regression analysis identified predictors of AF occurrence.
Main Results:
- AF was detected in 44 patients.
- Patients with AF showed significantly higher PWD, P-wave index, PR interval, and abnormal P-wave axis.
- Independent predictors for AF included age, PWD, and abnormal P-wave axis.
Conclusions:
- High P-wave dispersion (PWD) and abnormal P-wave axis are independent predictors of AF in CS.
- These ECG findings are valuable tools for identifying high-risk patients for AF after CS.
- Early identification can guide further monitoring and management strategies.
Background:
Prolonged screening for the presence of atrial fibrillation (AF) is recommended after cryptogenic stroke (CS) and different electrocardiographic markers of atrial cardiopathy have been proposed as tools to identify patients at high-risk for AF.
Aim:
The aim of this study was to evaluate the relationship between different electrocardiographic parameters and in-hospital AF occurrence after acute CS.
Method:
In total, 222 patients with CS underwent 12-lead resting electrocardiogram (ECG) at admission and 7-day in-hospital ECG monitoring in order to evaluate the possible occurrence of silent AF. At admission, the following indices were evaluated: maximum and minimum P-wave duration (P max and P min), P-wave dispersion (PWD), P-wave index, P-wave axis, atrial size. Patients were dichotomised into two groups according to the detection of AF during 7-day in-hospital ECG monitoring and a logistic regression model was constructed to determine the predictors of AF.
Results:
Atrial fibrillation was detected in 44 patients. Those in the AF group had a significantly higher PWD, P-wave index, PR interval, and greater frequency of abnormal P-wave axis than those in the no AF group. The following variables were found to be the main predictors for AF: age (odds ratio [OR] 1.41 for 5 years, 95% confidence interval [CI] 1.15-1.72), PWD (OR 1.92 for 10ms, 95% CI 1.45-2.55), abnormal P-wave axis (OR 3.31, 95% CI 1.49-7.35).
Conclusions:
In CS, high PWD and abnormal P-wave axis are independent predictors of AF, representing useful tools to identify patients at high-risk of AF.
Related Concept Videos
Amyloid Fibrils
Amyloid deposits were observed as early as 1639 in the liver and the spleen. In 1854, Rudolph Virchow performed iodine staining,...
Amyloid Fibrils
Fibril-associated Collagen
For example, the type II collagen fibrils in cartilage have covalently bound type IX fibril-associated collagens at regular intervals. Other types of fibril-associated collagens are...
Regulation of Stroke Volume
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias
Cardiac Output and Stroke Volume
In an average resting adult male, the typical cardiac...

