Open AccessNew electrocardiographic score for the prediction of atrial fibrillation: The MVP ECG risk score (morphology‐voltage‐P‐wave duration)
Author(s) -
Alexander Bryce,
Milden Julia,
Hazim Bachar,
Haseeb Sohaib,
BayesGenis Antoni,
Elosua Roberto,
MartínezSellés Manuel,
Yeung Cynthia,
Hopman Wilma,
Bayes de Luna Antoni,
Baranchuk Adrian
Publication year - 2019
Publication title -
annals of noninvasive electrocardiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.494
H-Index - 48
eISSN - 1542-474X
pISSN - 1082-720X
DOI - 10.1111/anec.12669
Subject(s) - medicine , atrial fibrillation , confidence interval , odds ratio , cardiology , framingham risk score , electrocardiography , disease
Background Atrial fibrillation (AF) is the most common arrhythmia and has significant morbidity. A score composed of easily measured electrocardiographic variables to identify patients at risk of AF would be of great value in order to stratify patients for increased monitoring and surveillance. The purpose of this study was to develop an electrocardiographic risk score for new‐onset AF. Methods A total of 676 patients without previous AF undergoing coronary angiography were retrospectively studied. Points were allocated based on P‐wave morphology in inferior leads, voltage in lead 1, and P‐wave duration (MVP). Patients were divided into three risk groups and followed until development of AF or last available clinical appointment. Results Mean age was 65 years, and 68% were male. The high‐ and intermediate‐risk groups were more likely to develop AF than the low‐risk group (odds ratio [OR] 2.4, 95% confidence interval [CI] 1.3–4.4; p = 0.006 and OR 2.1, 95% CI 1.4–3.27; p = 0.009, respectively). The high‐risk group had a significantly shorter mean time to development of AF (258 weeks; 95% CI 205–310 weeks) compared to the intermediate‐ (278 weeks; 95% CI 252–303 weeks) and low‐risk groups (322 weeks 95% CI 307–338 weeks), p = 0.005. Conclusions A simple risk score composed of easy‐to‐measure electrocardiographic variables can help to predict new‐onset AF. Further validation studies will be needed to assess the ability of this risk score to predict AF in other populations.