Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2014;55(5):422-7.
doi: 10.1536/ihj.14-052. Epub 2014 Aug 5.

Prediction of new onset atrial fibrillation through P wave analysis in 12 lead ECG

Affiliations
Free article
Comparative Study

Prediction of new onset atrial fibrillation through P wave analysis in 12 lead ECG

Tomoharu Yoshizawa et al. Int Heart J. 2014.
Free article

Abstract

It is unknown whether 12-lead ECG can predict new-onset AF. In the present study, we identified patients with new onset AF from our digitally stored ECG database, and the P wave morphologies were analyzed in their preceding sinus rhythm recordings as the precursor state for AF. The P wave was analyzed in the most recent ECG recording of sinus rhythm preceding new onset AF within 12 months. The duration and amplitude of P waves were analyzed in 12 leads and compared between the 2 groups with the other clinical parameters. The study population consisted of 68 patients with new-onset AF and 68 age and sex-matched controls. Multivariate analysis revealed that the P wave amplitude in leads II and V1 (0.157 ± 0.056 versus 0.115 ± 0.057 mV, P = 0.032, and 0.146 ± 0.089 versus 0.095 ± 0.036 mV, P = 0.002) and P wave dispersion (56.9 ± 14.8 versus 33.5 ± 12.9 ms, P = 0.001) were significant independent factors for the prediction of new-onset AF. By using these factors, new-onset AF could be predicted with a sensitivity of 69.1% and specificity of 88.2%. P wave analysis is useful for predicting new onset AF.

PubMed Disclaimer

Publication types