Circulation. 2007;116:2359
doi: 10.1161/CIRCULATIONAHA.107.187679
(Circulation. 2007;116:2359.)
© 2007 American Heart Association, Inc.
Issue Highlights
An extract of the first 250 words of the full text is provided, because this article has no abstract.
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THE COMMON LONG-QT SYNDROME MUTATION KCNQ1/A341V CAUSES UNUSUALLY SEVERE CLINICAL MANIFESTATIONS IN PATIENTS WITH DIFFERENT ETHNIC BACKGROUNDS: TOWARD A MUTATION-SPECIFIC RISK STRATIFICATION, by Crotti et al.
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Congenital long-QT syndrome is due to mutations in ion channel–encoding
genes, leading to variable clinical phenotypes of arrhythmias,
syncope, and vulnerability to sudden death. In this issue of
Circulation, Crotti and colleagues describe findings of a particularly
severe clinical presentation in patients with a relatively common
mutation in
KCNQ1. Patients with this particular mutation were
much more likely to have a longer QTc and experience cardiac
events, including sudden cardiac death, at earlier ages in childhood
as compared with other long-QT syndrome patients with different
mutations on the
KCNQ1 gene. This mutational "hot spot" causes
a more malignant phenotype, regardless of ethnic background,
even when patients were treated with β-blocker medications.
These data suggest a potential role of mutation-specific risk
stratification and therapeutic approaches. See p 2366.
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SOCIOECONOMIC POSITION, RACE/ETHNICITY, AND INFLAMMATION IN THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS, by Ranjit et al.
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Epidemiology studies have documented a higher prevalence of
cardiovascular disease among populations with lower socioeconomic
status. Many studies have investigated the underlying causes
of this association, but some researchers have wondered if inflammation
is the common biological process by which multiple behavioral
and psychosocial factors mediate this increased risk. Making
use of data from Multi-Ethnic Study of Atherosclerosis (MESA),
which includes a large and diverse US cohort of adults 45 to
84 years of age, Ranjit and colleagues evaluated the associations
of household income and education with various markers of inflammation.
Moreover, they determined whether the relationships were affected
by adjustment for infection, medication use, psychosocial factors,
behaviors, adiposity, and diabetes. The research has the potential
to identify the most
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