scholarly journals Association of Feature-Tracking Cardiac Magnetic Resonance Imaging Left Ventricular Global Longitudinal Strain With All-Cause Mortality in Patients With Reduced Left Ventricular Ejection Fraction

Circulation ◽  
2017 ◽  
Vol 135 (23) ◽  
pp. 2313-2315 ◽  
Author(s):  
Simone Romano ◽  
Robert M. Judd ◽  
Raymond J. Kim ◽  
Han W. Kim ◽  
Igor Klem ◽  
...  
2021 ◽  
Author(s):  
Alastair J Rankin ◽  
Luke Zhu ◽  
Kenneth Mangion ◽  
Elaine Rutherford ◽  
Keith A Gillis ◽  
...  

ABSTRACT Background Patients with end-stage kidney disease (ESKD) are at increased risk premature death, with cardiovascular disease being the predominant mode of death. We hypothesized that left ventricular global longitudinal strain (LV-GLS) measured by feature tracking cardiovascular magnetic resonance imaging (CMR) would be associated with all-cause mortality in patients with ESKD. Methods A pooled analysis of CMR studies in patients with ESKD acquired within a single centre between 2002 and 2016 was carried out. CMR parameters including left ventricular ejection fraction (LVEF), LV mass index (LVMI), left atrial emptying fraction (LAEF) and LV-GLS were measured. We tested independent associations of CMR parameters with survival using a multivariable Cox model. Results Among 215 patients (mean age: 54 years, 62% male), mortality was 53% over 5.0 years median follow-up. The median LVEF was 64.7% (IQR 58.5, 70.0) and median LV-GLS was -15.3% (-17.24, -13.6). While 90% of patients had preserved LVEF (>50%), 58% of this group had abnormal LVGLS (>-16%). On multivariable Cox regression, age (HR: 1.04, 95%CI: 1.02-1.05), future-renal transplant (HR 0.29 95%CI: 0.17-0.47), LAEF (HR: 0.98, 95%CI: 0.96-1.00) and LV-GLS (HR: 1.08, 95%CI: 1.01-1.16) were independently associated with mortality. Conclusions In this cohort of patients with ESKD, LV-GLS on feature tracking CMR and LAEF were associated with all-cause mortality, independent of baseline clinical variables and future renal transplantation. This effect was present even when >90% of the cohort had normal left ventricular ejection fraction (LVEF). Using LV-GLS, instead of LVEF, to diagnose cardiac dysfunction in patients with ESKD could result in a major advance in our understanding of cardiovascular disease in ESKD.


2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
D De Campos ◽  
R Teixeira ◽  
A Botelho ◽  
C Saleiro ◽  
J Lopes ◽  
...  

Abstract BACKGROUND Previous studies have shown that left ventricle global longitudinal strain (GLS) assessed with 2D-speckle tracking echocardiography, is an independent predictor of outcome in asymptomatic moderate to severe chronic aortic regurgitation (AR) patients. OBJECTIVES To assess GLS impact on mortality and need for aortic valve replacement (AVR) or symptom development in chronic asymptomatic AR patients and preserved left ventricular ejection fraction (LVEF). METHODS A literature search was performed according with these key terms "aortic regurgitation" and "longitudinal strain." The primary endpoint was all-cause mortality. Secondary end-points were: a composite of all-cause mortality, need for AVR or symptom development; and only AVR plus symptom development. Data was pooled using random-effects meta-analysis models. Pooled Hazard Ratio (HR) was performed using its log transformation and inverse variances as weights were then calculated for each study . RESULTS Six studies were included, with a total of 1,571 asymptomatic patients with at least moderate AR and preserved LVEF. There were 996 events (death, AVR, symptom development) reported during follow-up. Pooled adjusted mortality HR tended to be higher for patients with worse GLS (1.14 [0.96–1.35], P = 0.13, I2 51%). GLS performed better in predicting AVR or symptom development (mean difference -0.72 [-1.29, -0.15], P = 0.01, I2 88%), with an estimated HR of 1.36 ([1.01–1.84], P = 0.04, I2 65%). CONCLUSIONS In asymptomatic chronic moderate to severe AR patients, impaired GLS was associated with adverse cardiac outcomes. Left ventricular GLS may offer incremental value on risk stratification as well as on decision-making. Abstract P1391 Figure 1


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