Affiliation:
1. Cardiovascular Division, Faculty of Medicine, University of Tsukuba, Japan
Abstract
Background
Speckle tracking echocardiography (
STE
) is reported as a useful method to predict cardiac resynchronization therapy (
CRT
) responders. This study aimed to identify the incremental value of a
STE
parameter to predict
CRT
responders.
Methods and Results
We enrolled 171 patients from the Speckle Tracking imaging for the Assessment of cardiac Resynchronization Therapy (
START
) study.
CRT
responders were defined as patients with ≥15% reduction of left ventricular (
LV
) end‐systolic volume at 6 months post‐
CRT
. Based on multivariable logistic regression analysis, incremental values of
STE
were assessed by c‐statistics, net reclassification improvement (
NRI
)/integrated discrimination improvement (
IDI
), and decision curve analysis. Six parameters (left bundle branch block or right ventricular pacing, use of beta‐blocker, blood urea nitrogen ≤3.0 mg/dL,
LV
end‐systolic diameter ≤50 mm, mitral regurgitation index ≤40%, and
STE
parameter standard deviation of time from QRS onset to first peak on the circumferential strain curves [
T
SD
] ≥116 ms) were identified as the determinants. Compared to the multivariable logistic regression model without
T
SD
(model 1), that with
T
SD
(model 2) showed significant improvement to predict
CRT
responders: c‐statistic (0.86 vs 0.77;
P
<0.001),
NRI
=0.19,
P
<0.001, and
IDI
=0.17,
P
<0.001. The decision curve of model 2 was higher than that of model 1 at threshold probabilities ≥0.2. Based on model 2, a
START
score was constructed. Compared to the Multicenter Automatic Defibrillator Implantation Trial with Cardiac Resynchronization Therapy (
MADIT
‐
CRT
) score, the decision curve of the
START
score was higher than that of the
MADIT
‐
CRT
score at threshold probabilities ≥0.2.
Conclusions
Based on various statistical methods, this study revealed that
STE
had an incremental value to predict
CRT
responders.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Cardiology and Cardiovascular Medicine
Cited by
13 articles.
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