Why the study?
Additional work is needed to standardize P wave parameter measurements, confirm their reliability, and define the risk-benefit ratio of interventions to facilitate their clinical translation.
This consensus document highlights the clinical utility of P wave parameters in predicting atrial fibrillation and stroke, calling for standardized measurement to improve cardiovascular and dementia prevention.
, P wave axis, P wave voltage, P wave area, and P wave dispersion. PWPs can be combined to yield an index (P wave index), such as the morphology-voltage-P-wave duration ECG risk score. Abnormal PWPs have been shown in population-based cohort studies to be independently associated with higher risks of atrial fibrillation, ischemic stroke, sudden cardiac death, and dementia. Additionally, PWPs, either individually or in combination (as a P wave index), have been reported to enhance prediction of atrial fibrillation or ischemic stroke. To facilitate translation of PWPs to routine clinical practice, additional work is needed to standardize measurement of PWPs (eg, via semiautomated or automated measurement), confirm their reliability and predictive value, leverage novel approaches (eg, wavelet analysis of P waves and machine learning algorithms), and finally, define the risk-benefit ratio of specific interventions in high-risk individuals. Our ultimate goal is to repurpose the ubiquitous 12-lead ECG to advance the study, diagnosis, and treatment of atrial cardiomyopathy, thus overcoming critical challenges in prevention of cardiovascular disease and dementia.
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Chen et al. (2022) conducted a review in Cardiovascular disease and dementia. Abnormal P wave parameters and indices was evaluated. Abnormal P wave parameters are independently associated with higher risks of atrial fibrillation, ischemic stroke, sudden cardiac death, and dementia.
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