how accurate electrocardiogram predict lv diastolic dysfunction?
TRANSCRIPT
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How accurate can electrocardiogram predict left Ventricular diastolic
dysfunction?
BYTamer Taha Ismail ,MD
Thumbay Hospital _Dubai
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Approximately half of patients with heart
failure (HF) have a preserved ejection fraction
(HFpEF).
Morbidity and mortality are similar to HF
with reduced EF (HFrEF), yet therapies have
been shown not to be effective in HFpEF.
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While inherited long QT syndrome (LQTS)
has been considered a purely electrical disease,
echocardiographic studies have demonstrated a
strong relationship between a prolonged QT
interval and abnormal mechanical function.
(Nador et al.,1991)
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Observational data revealed that electrical
transmural dispersion of repolarization,
manifest on the surface electrocardiogram
(ECG) by Tp_Te interval , can be associated
with mechanical dispersion of LV relaxation
observed using echocardiography. (Belardinelli et al.,2009).
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P wave dispersion (PD) is related to the non
homogenous and interrupted conduction of
sinus impulses intra and inter-atrially.
Currently, PD is considered as a non invasive
indicator of atrial fibrillation risk, which can be
calculated easily on a 12-lead surface ECG (Dilaveris et
al.,2000).
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A number of other parameters have been
shown to be of diagnostic and prognostic value in
exercise stress test other than ST segment shift .
Among these is a discrete upward deflection
of the ST segment termed the ST hump sign
(STHS). Previous studies have shown that this
sign represents atrial repolarization and leads to
false positive exercise tests. (Michaelides et al.,2010).
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STHS has been associated with
hypertension, which is characterized by
myocardial hypertrophy, diastolic and systolic
myocardial dysfunction, fibrosis, and
limitation in subendocardial flow reserve (Schäfer
et al.,2002).
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In this study, we aimed to study different
parameters in resting and exercise stress ECG
and evaluate whether they can predict left
ventricular diastolic dysfunction (LVDD)
diagnosed by Tissue Doppler Echocardiography
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This prospective study included 140
patients (96 males and 44 females) who
referred for risk stratification for coronary
heart disease with normal resting ECG .
All patients underwent a treadmill test,
according to the multistage Bruce protocol.
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Inclusion Criteria: Patients with negative exercise test were
included in this study .
Patients with false positive exercise test
(with normal coronary angiography)
included in this study .
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Exclusion criteria: Patients with positive test for exercise
induced myocardial ischemia
Patients who had systolic heart failure
Patients who received drugs that prolong QT
interval were excluded from the study.
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Parameters that were analyzed included:
Resting ECG:
QT interval:
This is measured from the
beginning of QRS
complex to the end of T
wave. QT interval should
be measured in the
longest interval present in
ECG.
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Parameters that were analyzed included:
Resting ECG:P wave dispersion:
This was calculated by
subtracting the minimum P
wave duration from the
maximum P wave duration
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Parameters that were analyzed included:
Resting ECG:TpTe interval :It was measured from the T wave peak to the T wave end in resting ECG and it represents transmural dispersion of repolarization (Antzelevitch 2006).
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Treadmill exercise testing:
All patients performed Treadmill exercise
testing
The ECG was recorded continuously during
exercise and for up to 10-minute during the recovery
period.
ECG measurements were performed with a
magnifying lens by 2 experienced investigators.
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ST-segment hump sign was defined as a discrete
upward deflection of the ST-segment in any of the
leads of the ECGs received during exercise. It was
mostly observed in leads II, III, aVF, V1 to V6.
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Echocardiographic measurement:
All patients included in our study underwent
an echocardiographic study using conventional and
TDI techniques to estimate the diastolic LV function.
Trans-mitral left ventricular filling velocities at
the tips of the mitral valve leaflets were obtained
from the apical four chamber view using pulsed
wave Doppler echocardiography
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From the apical 4-chamber view, Doppler
sample volume was placed at the lateral and septal
margins of the mitral annulus.
All measurements were made in 3 cardiac
cycles and averaged. Cardiac cycles with
extrasystolic, post-extrasystolic beats, or any
rhythm disturbance were excluded.
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We classified the patients into 2 groups
according to the presence or absence of LV diastolic
dysfunction:
Group A : including 56 (40%) patients who had no LV
diastolic dysfunction.
Group B : including 84 (60%) patients who had LV
diastolic dysfunction.
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Demographic features of the study
populations
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Comparison between resting ECG
parameters in patients with normal and
impaired LV diastolic function
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Distribution of Hump Sign occurrence in patients
with normal and impaired diastolic LV function
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Cut Off values, sensitivity and specificity of resting
ECG parameters & Hump Sign for the prediction of
diastolic dysfunction
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ROC curve to determine sensitivity & specificity of
resting ECG parameters for the prediction of diastolic
dysfunction
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Analysis of certain parameters in resting ECG
especially QTc and P wave dispersion can help in
prediction of diastolic dysfunction.
Also, the appearance of a “hump” at the ST
segment during exercise testing was associated
with higher incidence of diastolic dysfunction.
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Therefore, its identification may be useful for
stratification of these patients and may provide an
additional indication for the close follow up and
treatment of these patients.
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Further studies with large number of patients
to detect the effect of risk factors like diabetes,
hypercholesterolemia and the obesity on the
appearance of ST hump sign
Further studies should be done to detect the
effect of proper antihypertensive treatment on ST
segment hump sign in hypertensive patients.
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