131Left atrial phasic function in heart failure with preserved ejection fraction: cardiac magnetic resonance myocardial feature tracking, invasive hemodynamics and outcome

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
R Schoenbauer ◽  
A A Kammerlander ◽  
F Duca ◽  
S Aschauer ◽  
C Binder ◽  
...  

Abstract Background Global left atrial (LA) size and function have been shown to be associated with adverse events in heart failure with preserved ejection fraction (HFpEF). The machanism of coupling from left heart failure to pulmonary circulation is still controversially discussed. Purpose To study the prognostic most relevant determinant of LA size and function and its backward and forward interplay. Methods 188 HFpEF patients were prospectively enrolled and underwent baseline clinical assessment, cardiac magnetic resonance imaging (CMR) and invasive hemodynamic assessment. Coronary artery disease was ruled out by coronary angiography. 92 patients were in atrial fibrillation (AF), 96 in sinus rhythm. LA size and function were assessed by CMR including LA strain imaging by myocardial feature tracking (Figure 1A & B). Results Patients in AF had more pronounced dilatation of all phasic LA volumes and reduction of all phasic LA functions when compared to sinus rhythm (each p<0.001 respectively). After 31 (9–57) months 66 patients reached the combined endpoint defined as combination from hospitalization due to heart failure and cardiovascular death. In AF no atrial functional or volume parameter was correlated to outcome. In contrast in sinus rhythm several phasic LA volume and functional parameters were associated with outcome. After multivariate cox regression analysis only reduced total LA ejection fraction and conduit strain rate were still predictive for worse outcome (p=0.031 and <0.001 respectively). After adjustment for known risk factors in HFpEF like age, six minute walking distance (6MWD), systolic pulmonary artery pressure (sPAP) and right ventricular ejection fraction as derived by CMR only impaired LA conduit strain rate remained predicitve for cardiovascular events (p=0.001). In contrast to LA booster pump function LA conduit function parameters were significantly correlated to reduced 6MWD (Figure 1C) and coupled backwards to pulmonary vasculature via correlation to sPAP and pulmonary vascular resistance (PVR) but without coupling to CMR derived elevated LV extracellular volume and left ventricular end diastolic pressure. Conclusion Total LA ejection fraction plays a key role in the prognosis of HFpEF. This effect seems to be mainly related to its LA conduit function but not to LA booster pump function. LA conduit function correlates to impaired 6MWD, sPAP and PVR.

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
S Romano ◽  
R Judd ◽  
R Kim ◽  
J Heitner ◽  
D Shah ◽  
...  

Abstract Introduction Ejection fraction is the principal measure used clinically to assess cardiac mechanics and provides significant prognostic information. However, echocardiographic strain imaging has shown significant abnormalities of myocardial deformation can be present despite preserved ejection fraction, which maybe associated with adverse prognosis. Cardiac-Magnetic-Resonance (CMR) feature-tracking techniques now allow assessment of strain from routine cine-images, without specialized pulse sequences. Whether abnormalities of strain measured using CMR feature-tracking have prognostic value in patients with preserved ejection fraction is unknown. Purpose To evaluate the prognostic value of CMR feature-tracking derived global longitudinal strain (GLS) in a large multicenter population of patients with preserved ejection fraction. Methods Consecutive patients with preserved ejection fraction (EF ≥50%) and a clinical indication for CMR at four US medical centers were included in this study. Feature-tracking GLS was calculated from 3 long-axis-cine-views. The primary endpoint was all-cause death. Cox proportional hazards regression modeling was used to examine the independent association between GLS and death. The incremental prognostic value of GLS was assessed in nested models. Results Of the 1274 patients in this study, 115 died during a median follow-up of 6.2 years. By Kaplan-Meier analysis, patients with GLS ≥ median (−20%) had significantly reduced event free survival compared to those with GLS < median (log-rank p<0.001) (Figure, top panel). The continuous relationship between GLS and the hazard of death is shown in the cubic spline (Figure, lower panel). By Cox multivariable regression modeling, each 1% worsening in GLS was associated with a 23.6% increased risk-of-death after adjustment for clinical and imaging risk factors (HR=1.236 per %; p<0.001). Addition of GLS in this model resulted in significant-improvement in the global-chi-square (67 to 168; p<0.0001) and Harrel's C-statistic (0.716 to 0.825; p<0.0001). Conclusions CMR feature-tracking derived GLS is a powerful independent predictor of mortality in patients with preserved ejection fraction, incremental to common clinical and imaging risk factors.


2013 ◽  
Vol 6 (6) ◽  
pp. 1056-1065 ◽  
Author(s):  
Julia Mascherbauer ◽  
Beatrice A. Marzluf ◽  
Caroline Tufaro ◽  
Stefan Pfaffenberger ◽  
Alexandra Graf ◽  
...  

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Ying Zhang ◽  
David Mui ◽  
Julio A. Chirinos ◽  
Payman Zamani ◽  
Victor A. Ferrari ◽  
...  

Abstract Background Cardiovascular magnetic resonance (CMR) myocardial strain analysis using feature tracking (FT) is an increasingly popular method to assess cardiac function. However, different software packages produce different strain values from the same images and there is little guidance regarding which software package would be the best to use. We explored a framework under which different software packages could be compared and used based on their abilities to differentiate disease from health and differentiate disease severity based on outcome. Method To illustrate this concept, we compared 4-chamber left ventricular (LV) peak longitudinal strain (GLS) analyzed from retrospective electrocardiogram gated cine imaging performed on 1.5 T CMR scanners using three CMR post-processing software packages in their abilities to discriminate a group of 45 patients with heart failure with preserved ejection fraction (HFpEF) from 26 controls without cardiovascular disease and to discriminate disease severity based on outcomes. The three different post-processing software used were SuiteHeart, cvi42, and DRA-Trufistrain. Results All three software packages were able to distinguish HFpEF patients from controls. 4-chamber peak GLS by SuiteHeart was shown to be a better discriminator of adverse outcomes in HFpEF patients than 4-chamber GLS derived from cvi42 or DRA-Trufistrain. Conclusion We illustrated a framework to compare feature tracking GLS derived from different post-processing software packages. Publicly available imaging data sets with outcomes would be important to validate the growing number of CMR-FT software packages.


2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
IS Visoiu ◽  
RC Rimbas ◽  
LS Magda ◽  
S Mihaila-Baldea ◽  
P Balanescu ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): PN-III-P1-1-TE-2016-0669, within PNCDI III Background Left ventricular non-compaction (LVNC) is associated with an increased risk of heart failure (HF). The presence of a real LVNC with HF with preserved ejection fraction (HFpEF), is still controverted. Methods We evaluated prospectively 42 patients with HFpEF, 21 with LVNC (61 ± 9 years) and 21 without LVNC (LVC), aged and risk factor matched, by cardiac magnetic resonance (CMR) 1.5T. LVNC diagnosis was confirmed by Petersen and Jacquier criteria (NC/C ratio and the percentage of NC myocardium). We performed myocardial T1 mapping (normal value of 950 ± 21ms). We calculated a mean value of all native T1 (T1mean), and also for apical (apicalT1) and basal segments (basalT1). We also calculated ECV mean, basal and apical. All patients had NTproBNP and biomarkers for systemic inflammation (hsCRP, IL6, cystatin C and sST2), endothelial dysfunction: VCAM, von Willebrand factor (vWf), vWF metalloproteinase-ADAMTS13, and myocardial fibrosis: vascular peroxidase (VPO), and Galectin-3. Results In the LVNC, mean NC/C ratio was 2.9 ± 0.5 mm and the percentage of NC myocardium was 24.41 ± 8.8%. LVNC patients had significantly higher T1apical, higher ECVmean, ECV basal and apical (Table) by comparison with LVC group, suggesting an extensive fibrosis in LVNC group with significantly higher apical fibrosis.  Inflammatory markers were similar between groups, LVNC patients had lower values of ADAMTS13, suggesting endothelial dysfunction, and higher values of Galectin-3, suggesting increased myocardial fibrosis (Table). Galectin-3 correlated positively only with apicalT1 (R = 0.49, p = 0.04). NTproBNP significantly correlated with VPO, a promotor of fibrosis (r = 0.61, p = 0.009) in LVNC group, whereas in LVC group correlated with cystatin C (r = 0.62, p = 0003) and VCAM (r = 0.4, p = 0.05). Native apical T1 cut off &gt;1021 ms provided the highest sensibility and specificity to differentiate segments with and without NC in HFpEF (p = 0.002) (Figure). Conclusion  HFpEF patients with LVNC have significant higher NTproBNP, higher fibrosis than patients without LVNC, more extensive in non-compacted apical segments. Galectin-3 level correlates only with apical fibrosis on CMR, expressed by apicalT1 time. Moreover, endothelial dysfunction seems to play an important role in HFpEF generation in LVNC. All findings suggests that LVNC is a stand alone condition, not an adaptive hyper-trabeculation in HFpEF. Table.Comparison between groups NTproBNP (pg/ml) Galectin3 (ng/ml) ADAMTS13 (ng/ml) T1mean (ms) basalT1 (ms) apicalT1 (ms) ECV mean (%) ECV basal (%) ECV apical (%) LVNC 294 ± 282 8.44 ± 3.45 767.35 ± 335.56 1013.8 ± 31.8 1002.8 ± 27.2 1059 ± 73 27.2 ± 2.9 26.2 ± 2.9 29.6 ± 3.9 LVC 163 ± 71 6.67 ± 2.88 962.33 ± 253.78 1003.2 ± 28.1 1004.3 ± 29.5 1007 ± 40 24.3 ± 2.5 24.2 ± 2.7 25.2 ± 2.8 P value 0.031 0.048 0.049 0.26 0.865 0.007 0.002 0.033 &lt;0.001 Abstract Figure


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