New analysis shows that electrocardiography has great power to predict risk for heart disease
A population-based study involving nearly
15,000 healthy adults shows that electrocardiography identifies
people who may have up to a 5-fold higher risk for death from cardiovascular
disease, according to an article in the February 18th issue of the
Journal of the American College of Cardiology.
"It's really such a simple, inexpensive and noninvasive tool.
I think electrocardiograms are not being used enough in the general
population. They are routinely used for patients who go to cardiologists,
but what this tells us is that also in the general population or
people with risk factors, that the electrocardiogram is informative,"
said Jacqueline M. Dekker, PhD, lead author of the study.
Dekker, who is Dutch, worked with American colleagues to analyze
data from the Atherosclerosis Risk In Communities (ARIC) study,
which enrolled healthy individuals age 45 to 64 years who lived
in 4 widespread American communities. The study population included
14,548 men and women who were white or African American.
The researchers focused on measurements of the QT interval. Elongated
QT intervals are one sign of heart abnormalities linked with sudden
death, but the ECG abnormality is also associated with risk for
developing a variety of heart diseases.
In the current study, prolonged QT interval was a strong predictor
of both new heart disease and death from cardiovascular disease.
People in the top 10 percent of QT interval duration were twice
as likely to develop coronary heart disease and five times as likely
to die of cardiovascular disease as those in the lower 90 percent.
The link was stronger in African-American participants than in whites.
"It's intriguing that we found this statistically significant
difference between blacks and whites, but I'd say we need to see
it again in another study because it could be chance. The relative
risks that we saw in the white population were lower than I had
seen in previous studies. If we had seen the same relative risks
in the white population as seen in those earlier studies, then probably
it wouldn't have been a significant difference," Dekker noted.
The study addressed questions about the best ways to measure QT
intervals and how to correct measurements for the effect of different
heart rates. The researchers found that a widely available computer
program (NOVACODE) that automatically calculates the QT interval
produced results that were just as useful as those from manual measurements.
The results also supported a widely used formula (Bazett) for making
heart rate corrections.
Dekker said the performance of automated measurement software in
the current study means that it should be relatively simple and
inexpensive for general practitioners to add electrocardiograms
to their screening protocols.
In an editorial in the journal, Peter M. Okin, MD, wrote that this
is an important study and that the findings "strongly support
the value of careful, quantitative electrocardiography in the application
of QTc (QT interval corrected for heart rate) prolongation for risk
stratification in the general population."
Okin highlighted the large size and diversity of the study population:
"One of the great strengths of this study is that there were
adequate numbers of black and white men and women to establish that
the predictive value of a prolonged QTc is independent of race and
gender."
Bente Brendorp, MD, PhD, who was not part of the research team,
commented that this study provides new information on using the
QT interval to predict heart disease and death risk in the general
population. Brendorp also noted "As mortality rate is rather
low in population studies (compared with studies including patients
with established cardiovascular disease), a longer follow-up period
probably would have strengthened the results of the study."
Brendorp also suggested that more study is needed on the question
of when computerized QT measurements can be substituted for manual
measurement of electrocardiograms.
|