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We have read with interest the article by Bridge and Thijs focused on how selecting cryptogenic stroke patients to screen for atrial fibrillation (AF). Cryptogenic stroke is an exclusion diagnosis, which is reached by ruling out known causes; however, it is possible that a silent AF may play a key role in the pathogenesis of this kind of stroke. In recent years, the use of prolonged outpatient cardiac monitoring has led to detection of low-burden AF in 15% of cryptogenic stroke patients. Bridge and Thijs emphasize resting electrocardiographic findings as simple and effective markers for selecting patients who should undergo further electrocardiogram (ECG) monitoring. Since it is really difficult and expensive to perform prolonged ECG monitoring in all cryptogenic strokes, resting 12-lead ECG parameters could help to identify subgroups of patients to submit to further ECG monitoring. Nevertheless, Bridge doesn’t take account of P wave dispersion (PWD), a well-known ECG parameter, predictor of AF. PWD is defined as the difference between the maximum and the minimum P wave duration detected in a 12-lead ECG. A standard 12-lead ECG is generally used to measure PWD: P wave duration is manually measured from the beginning of the P wave deflection from the isoelectric line to the end of the deflection returning to isoelectric line in all simultaneous 12 leads of a standard paper-printed ECG. Therefore, PWD results from the difference between the shortest and the longest P wave duration in any of the simultaneous 12 ECG leads (Figure 1). PWD can be calculated by measurements on paper or computerized methods. However, manual measurement of P wave duration is feasible, more stable and reliable when performed on the high-resolution screen of a digital ECG system: scanning and digitizing paperprinted ECGs allow to achieve greater precision in detecting and measuring PWD. Increased PWD values reflect the inhomogeneous propagation of sinus impulses and the prolongation of atrial conduction time, a recognized electrophysiological substrate in patients with paroxysmal AF. PWD was proven to be a sensitive and specific ECG marker for the risk of AF occurrence with a cutoff value of 40 ms for the identification of patients with history of paroxysmal lone AF in comparison with healthy subjects. Various insults leading to atrial remodeling result in slowed atrial conduction with inhomogeneous recovery, reflecting prolonged, inhomogeneous and anisotropic distribution of connections between atrial myocardial fibers. PWD may be particularly relevant to cryptogenic stroke where high PWD values could originate from multiple inflammatory insults directed against atrial myocardial cells. In fact, in patients with cardioembolic stroke and paroxysmal AF, increased PWD values has been consistently reported (Table 1). Furthermore, an our own previous study showed that PWD values in cryptogenic stroke, as well as in cardioembolic group, are higher in comparison with healthy subjects, suggesting that PWD may be a marker to identify groups of patients to submit to longer ECG monitoring. Similarly, in recurrent transient ischemic attacks, high PWD values were observed, suggesting that a PWD>40 msec may be linked to an underlying silent paroxysmal AF, possible cause of ischemic recurrence. Another recent stuHow to Identify Patients at Risk of Silent Atrial Fibrillation after Cryptogenic Stroke: Potential Role of P Wave Dispersion