Background: Previous studies that assessed the risk of life-threatening cardiac events in patients with congenital long-QT syndrome (LQTS) have focused mainly on the first 4 decades of life, whereas the clinical course of this inherited cardiac disorder in the older population has not been studied.

Methods And Results: The risk of aborted cardiac arrest or death from age 41 though 75 years was assessed in 2759 subjects from the International LQTS Registry, categorized into electrocardiographically affected (corrected QT interval [QTc] > or = 470 ms), borderline (QTc 440 to 469 ms), and unaffected (QTc < 440 ms) subgroups. The affected versus unaffected adjusted hazard ratio for aborted cardiac arrest or death was 2.65 (P<0.001) in the age range of 41 to 60 years and 1.23 (P=0.31) in the age range of 61 to 75 years. The clinical course of study subjects displayed gender differences: Affected LQTS women experienced a significantly higher cumulative event rate (26%) than borderline (16%) and unaffected (12%) women (P=0.001), whereas event rates were similar among the 3 respective subgroups of men (29%, 26%, and 27%; P=0.16). Recent syncope (< 2 years in the past) was the predominant risk factor in affected subjects (hazard ratio 9.92, P<0.001), and the LQT3 genotype was identified as the most powerful predictor of outcome in a subset of 871 study subjects who were genetically tested for a known LQTS mutation (hazard ratio 4.76, P=0.02).

Conclusions: LQTS subjects maintain a high risk for life-threatening cardiac events after age 40 years. The phenotypic expression of affected subjects is influenced by age-specific factors related to gender, clinical history, and the LQTS genotype.

Download full-text PDF

Source
http://dx.doi.org/10.1161/CIRCULATIONAHA.107.729368DOI Listing

Publication Analysis

Top Keywords

long-qt syndrome
8
aborted cardiac
8
cardiac arrest
8
arrest death
8
qtc 440
8
syndrome age
4
age background
4
background previous
4
previous studies
4
studies assessed
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!