Predicting Heart Failure Patient Outcomes with Systolic Dyssynchrony Index
Author Information
Author(s): Duckett Simon G, Ginks Matthew R, Shetty Anoop K, Paul Matthias, Kapetanakis Stam, Sinclair Stephen, Schaeffter Tobias, Rinaldi C Aldo, Carr-White Gerry, Razavi Reza
Primary Institution: Kings College London
Hypothesis
Can the Systolic Dyssynchrony Index (SDI) derived from cardiac magnetic resonance imaging predict reduction in end systolic volume and improvement in ejection fraction in heart failure patients undergoing CRT?
Conclusion
The Systolic Dyssynchrony Index derived from CMR is highly predictive of which heart failure patients are likely to benefit from CRT.
Supporting Evidence
- 45% of patients had a reduction in end systolic volume of 15% or more.
- 52% of patients had an improvement in ejection fraction of 15% or more.
- The sensitivity for predicting a 15% reduction in ESV was 0.88.
- The specificity for predicting a 15% increase in EF was 0.94.
Takeaway
Doctors can use a special measurement from heart scans to figure out which heart failure patients will get better after treatment.
Methodology
42 heart failure patients underwent CMR to derive the Systolic Dyssynchrony Index and were assessed for changes in ejection fraction and end systolic volume pre and post CRT.
Participant Demographics
42 heart failure patients (38 male, average ejection fraction 26±8.9%, average NYHA 2.8±0.4), with 21 having ischemic cardiomyopathy and 21 having dilated cardiomyopathy.
Statistical Information
P-Value
p<0.0001
Statistical Significance
p<0.0001
Digital Object Identifier (DOI)
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