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Role of PR-Interval In Predicting the Occurrence of Atrial Fibrillation

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Date 2017 May 13
PMID 28496913
Citations 10
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Abstract

The identification of individuals at high risk of developing atrial fibrillation (AF) is important to prevent potentially lethal and invalidating complications of this arrhythmia. Recently, several studies have investigated the association between PR-interval and the risk of AF and have tested the value of PR-interval in personalized risk scores for AF. However, the results of these studies are generally conflicting. When looking for an association between a prolonged PR-interval (first-degree atrioventricular [AV] block vs. normal PR-interval) and an increased risk of AF, not all studies were able to find a consistent and statistically significant association. In two recent studies, however, the investigators were able to show an increased risk of AF for individuals with PR-intervals in the short range compared with individuals in the middle range. The existence of a true U-shaped relationship could potentially explain part of the conflicting results from investigators only looking for an increased risk for longer PR-intervals. However, regardless of these speculations, the association seems relatively weak. The significance of PR-interval in risk prediction of AF has been tested in three independent risk scores where model selection primarily was based on improvement in c-statistics. In one risk score, PR-interval improved the predictive value of the risk model, whereas it did not in the other two risk scores. Further studies are warranted before any final conclusion can be drawn, although based on the current evidence, it is reasonable to conclude that the predictive value of PR-interval in AF risk prediction is limited.

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References
1.
Cook N . Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation. 2007; 115(7):928-35. DOI: 10.1161/CIRCULATIONAHA.106.672402. View

2.
Alonso A, Krijthe B, Aspelund T, Stepas K, Pencina M, Moser C . Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the CHARGE-AF consortium. J Am Heart Assoc. 2013; 2(2):e000102. PMC: 3647274. DOI: 10.1161/JAHA.112.000102. View

3.
Schnabel R, Aspelund T, Li G, Sullivan L, Suchy-Dicey A, Harris T . Validation of an atrial fibrillation risk algorithm in whites and African Americans. Arch Intern Med. 2010; 170(21):1909-17. PMC: 3021784. DOI: 10.1001/archinternmed.2010.434. View

4.
Mandyam M, Soliman E, Alonso A, Dewland T, Heckbert S, Vittinghoff E . The QT interval and risk of incident atrial fibrillation. Heart Rhythm. 2013; 10(10):1562-8. PMC: 3787974. DOI: 10.1016/j.hrthm.2013.07.023. View

5.
Stewart S, Murphy N, Murphy N, Walker A, McGuire A, McMurray J . Cost of an emerging epidemic: an economic analysis of atrial fibrillation in the UK. Heart. 2004; 90(3):286-92. PMC: 1768125. DOI: 10.1136/hrt.2002.008748. View