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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
Published on: February 12, 2011
Subclinical Myocardial Impairment Tracking the Comorbidity Burden: A Layer-Specific Strain and Myocardial Work
Özdemir Kuzucu1, Nazile Bilgin Doğan1, Nuri Eren Öget1
1Department of Cardiology, University of Health Sciences İzmir Bayraklı State Hospital, Izmir, Turkey.
Insights
A modified Charlson Comorbidity Index (mCCI) identifies subclinical heart dysfunction in patients with preserved ejection fraction. Higher mCCI scores correlate with impaired myocardial mechanics and increased adverse events, suggesting early detection of mechanical uncoupling.
Area of Science:
- Cardiology
- Cardiovascular Imaging
- Biomarkers
Background:
- The Charlson Comorbidity Index (CCI) predicts mortality in heart failure.
- Its role in assessing subclinical left ventricular (LV) mechanics is unclear.
Purpose of the Study:
- To evaluate the relationship between cumulative comorbidity burden (mCCI) and LV mechanics.
- To assess subclinical myocardial dysfunction using advanced echocardiography.
Main Methods:
- Seventy-one stable outpatients with preserved LVEF were stratified by mCCI.
- Layer-specific speckle tracking echocardiography and myocardial work (MW) analysis were performed.
Main Results:
- Higher mCCI correlated with impaired endocardial GLS, reduced global work efficiency, and increased wasted work.
- mCCI independently predicted endocardial GLS and global work efficiency.
- Patients with high mCCI had more adverse events during follow-up.
Conclusions:
- Increased comorbidity burden (mCCI) is linked to subclinical myocardial dysfunction and mechanical inefficiency.
- The mCCI may identify early mechanical uncoupling in preserved LVEF.
- Findings require validation in larger cohorts due to modest discriminative value.
Background:
The Charlson Comorbidity Index (CCI) is a validated mortality predictor in heart failure, but its utility in tracking subclinical left ventricular (LV) mechanics remains unclear. We evaluated the relationship between cumulative comorbidity burden, assessed by a modified CCI (mCCI), and LV mechanics using layer-specific speckle tracking echocardiography and non-invasive myocardial work (MW) analysis.
Methods:
Seventy-one stable outpatients with preserved LVEF (≥50%) and no overt heart failure or significant coronary artery disease were stratified by mCCI scores (adapted by excluding CAD and including hypertension): Group 1 (Low, 0-1), Group 2 (Intermediate, 2-3), Group 3 (High, ≥4). All underwent comprehensive echocardiography, layer-specific strain, and pressure-strain loop-derived MW analysis.
Results:
While LVEF and epicardial GLS (Epi-GLS) were preserved across groups, Group 3 showed significantly impaired endocardial GLS (Endo-GLS) versus Group 1 (-19.7 ± 2.9% vs. -22.4 ± 2.0%, p = 0.003), with a stepwise decrease in the transmural strain gradient (Endo/Epi ratio; p < 0.001). Global Wasted Work (GWW) (p = 0.006) and Peak Systolic Dispersion (PSD) (p = 0.002) increased progressively, while Global Work Efficiency (GWE) was reduced in the high-risk group. On multivariate regression, mCCI independently predicted Endo-GLS (β = 0.236, p = 0.021) and was the sole independent predictor of GWE (β = -0.394, p = 0.002), irrespective of age and systolic blood pressure. During a median 6-month follow-up, Group 3 had a higher composite event rate than Groups 1 and 2 (44.4% vs. 7.4% and 11.1%; log-rank p = 0.001).
Conclusion:
An increased comorbidity burden, assessed by the mCCI, is independently associated with subclinical myocardial dysfunction-selective subendocardial impairment, increased wasted work, and mechanical inefficiency-suggesting the mCCI may flag early mechanical uncoupling in preserved LVEF. Although these abnormalities correlated with adverse outcomes, their modest discriminative value (AUC 0.60-0.62) underscores the hypothesis-generating nature of these findings, warranting validation in larger prospective cohorts.
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