Feature Tracking of Global Longitudinal Strain by Using                    Cardiovascular MRI Improves Risk Stratification in Heart Failure with Preserved                    Ejection Fraction

Background: Pulmonary transit time (PTT) from first-pass perfusion imaging is a novel parameter to evaluate hemodynamic congestion by cardiac magnetic resonance (cMR). We sought to evaluate the additional prognostic value of PTT in heart failure with reduced ejection fraction over other well-validated predictors of risk including the Meta-Analysis Global Group in Chronic Heart Failure risk score and ischemic cause. Methods: We prospectively followed 410 patients with chronic heart failure with reduced ejection fraction (61±13 years, left ventricular (LV) ejection fraction 24±7%) who underwent a clinical cMR to assess the prognostic value of PTT for a primary endpoint of overall mortality and secondary composite endpoint of cardiovascular death and heart failure hospitalization. Normal reference values of PTT were evaluated in a population of 40 asymptomatic volunteers free of cardiovascular disease. Results PTT was significantly increased in patients with heart failure with reduced ejection fraction as compared to controls (9±6 beats and 7±2 beats, respectively, P <0.001), and correlated not only with New York Heart Association class, cMR–LV and cMR–right ventricular (RV) volumes, cMR-RV and cMR-LV ejection fraction, and feature tracking global longitudinal strain, but also with cardiac output. Over 6-year median follow-up, 182 patients died and 200 reached the secondary endpoint. By multivariate Cox analysis, PTT was an independent and significant predictor of both endpoints after adjustment for Meta-Analysis Global Group in Chronic Heart Failure risk score and ischemic cause. Importantly in multivariable analysis, PTT in beats had significantly higher additional prognostic value to predict not only overall mortality (χ 2 to improve, 12.3; hazard ratio, 1.35 [95% CI, 1.16–1.58]; P <0.001) but also the secondary composite endpoints (χ 2 to improve=20.1; hazard ratio, 1.23 [95% CI, 1.21–1.60]; P <0.001) than cMR-LV ejection fraction, cMR-RV ejection fraction, LV–feature tracking global longitudinal strain, or RV–feature tracking global longitudinal strain. Importantly, PTT was independent and complementary to both pulmonary artery pressure and reduced RV ejection fraction<42% to predict overall mortality and secondary combined endpoints. Conclusions: Despite limitations in temporal resolution, PTT derived from first-pass perfusion imaging provides higher and independent prognostic information in heart failure with reduced ejection fraction than clinical and other cMR parameters, including LV and RV ejection fraction or feature tracking global longitudinal strain. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03969394.

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P5261Feature tracking by CMR: left ventricular dysfunction predicts outcome in heart failure with preserved ejection fraction

European Heart Journal ◽

10.1093/eurheartj/ehz746.0232 ◽

2019 ◽

Vol 40 (Supplement_1) ◽

Author(s):

A Kammerlander ◽

J Kraiger ◽

C Nitsche ◽

C Dona ◽

F Duca ◽

...

Keyword(s):

Heart Failure ◽

Ejection Fraction ◽

Feature Tracking ◽

Tissue Characterization ◽

Cox Regression ◽

Global Longitudinal Strain ◽

Left Ventricular ◽

Walking Distance ◽

Preserved Ejection Fraction ◽

Prognostic Relevance

Abstract Objectives To investigate the association between global longitudinal strain (GLS) using feature tracking (FT) cardiovascular magnetic resonance imaging (CMR) and prognosis in patients with heart failure and preserved ejection fraction (HFpEF). Background Echocardiography-based studies have demonstrated that in HFpEF left ventricular (LV) strain analyses can detect impaired systolic function despite preserved ejection fraction and might also predict outcome. CMR also allows strain analysis using FT and is furthermore the gold standard for assessment of ventricular volumes and ejection fractions. In addition, T1-mapping allows non-invasive tissue characterization. However, the prognostic relevance of FT-CMR is unknown. In addition right ventricular (RV) FT-CMR is poorly investigated. Methods Consecutive patients with confirmed diagnosis of HFpEF underwent CMR on a 1.5T scanner. We used dedicated software (cvi42, Circle Cardiovascular Imaging Inc.) for global longitudinal left ventricular strain (LV-GLS) in a 3D and global longitudinal RV strain (RV-GLS) in a 2D model using feature tracking (FT). In addition, we performed uni- and multivariable Cox regression using a combined endpoint of heart failure hospitalizations, and cardiovascular death to determine the prognostic relevance of FT-CMR. Results We included a total of 131 HFpEF patients (70.4±8.6 years old, 70.2% female). Median LV-GLS by FT-CMR was −8% [IQR: −10% to 5%] and median RV-GLS was −11.9% [IQR: −16.57% to −12.23%]. LV and RV GLS values were significantly correlated with LV and RV ejection fractions (r=−0.463, p<0.001 for LV, and r=−0.306, p=0.001 and RV, respectively). 77 (58.8%) events were recorded during a follow-up of 42.0±31.4 months. Patients with an LV-GLS worse than the median (−8%) showed a significantly reduced event-free survival rate (log-rank, p=0.009).In a multivariable Cox-regression model correcting for the strongest clinical variables, including age (HR 1.018 [0.985–1.052], p=0.290), GFR (HR 0.987 [0.975–1.000], p=0.055), diabetes (HR 1.696 [1.028–2.799], p=0.039), and 6-min-walking distance (HR 0.997 [0.995–0.999)], p=0.014), LV-GLS remained significantly associated with outcome (HR 1.093 [1.039–1.150], p=0.001) while RV-GLS had no effect on outcome (p>0.05). Conclusions In patients with HFpEF, LV-GLS but not RV-GLS by FT-CMR is significantly associated with cardiovascular events.

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