Key result
Diastolic dysfunction grading predicted all-cause mortality in HFrEF (Johansen Grade I vs III: HR 2.47; 95% CI 1.57-3.87; P<0.001), and adding global longitudinal strain improved prognostic performance.
Why the study?
It was hypothesized that grading diastolic dysfunction according to two grading algorithms and strain imaging yields prognostic information on all-cause mortality in HFrEF.
Does echocardiographic grading of diastolic dysfunction and global longitudinal strain predict all-cause mortality in patients with HFrEF?
Cohort (n=1,065)
Does echocardiographic grading of diastolic dysfunction and global longitudinal strain predict all-cause mortality in patients with HFrEF?
Effect estimate: HR 2.47 (95% CI 1.57-3.87)
p-value: p=<0.001
Evaluating diastolic dysfunction and adding global longitudinal strain provides significant prognostic information for all-cause mortality in patients with HFrEF.
Diastolic grading plus GLS may refine HFrEF mortality risk stratification; leaves open prospective validation before guiding therapy.
AIMS: We hypothesized that grading of diastolic dysfunction (DDF) according to two DDF grading algorithms and strain imaging yields prognostic information on all-cause mortality in patients with heart failure with reduced ejection fraction (HFrEF). METHODS AND RESULTS: We enrolled ambulatory HFrEF (left ventricular ejection fraction < 45%; N = 1 065) patients who underwent echocardiography and speckle tracking assessment of global longitudinal strain (GLS). Patients were stratified according to DDF grades (Grades I-III) according to two contemporary DDF grading algorithms. Prognostic performance was assessed by C-statistics. Of the originally 1 065 enrolled patients, a total of 645 (61%) patients (age: 67 ± 11 years, male: 72%, ejection fraction: 27 ± 9%) were classified according to both DDF grading algorithms. Concordance between the algorithms was moderate (kappa = 0.48) and the reclassification rate was 33%. During a median follow-up of 3.3 years (1.9, 4.7 years), 101 (16%) died from all causes. When comparing DDF Grade I vs. Grade III, both algorithms provided prognostic information [Nagueh: (hazard ratio) HR 2.09, 95% confidence interval (CI),1.32-3.31, P = 0.002; Johansen: HR 2.47, 95% CI, 1.57-3.87, P < 0.001]. However, when comparing DDF Grade II vs. Grade III, only the Johansen algorithm yielded prognostic information (Nagueh: HR 1.04, 95% CI, 0.60-1.77, P = 0.90; Johansen: HR 2.26, 95% CI, 1.35-3.77, P = 0.002). We found no difference in prognostic performance between the two algorithms (C-statistics: 0.604 vs. 0.623, P = 0.24). Assessed by C-statistics, the most powerful predictors of the endpoint from the two algorithms were E/e'-ratio (C-statistics: 0.644), tricuspid regurgitation velocity (C-statistics: 0.625) and E/A-ratio (C-statistics: 0.602). When adding GLS to a combination of these predictors, the prognostic performance increased significantly (C-statistics: 0.705 vs. C-statistics: 0.634, P = 0.028). CONCLUSIONS: Evaluation of DDF in patients with HFrEF yields prognostic information on all-cause mortality. Furthermore, adding GLS to contemporary algorithms of DDF adds novel prognostic information.
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Hansen et al. (2019) conducted a cohort in Heart failure with reduced ejection fraction (HFrEF) (n=1,065). Diastolic dysfunction grading and global longitudinal strain was evaluated on All-cause mortality (HR 2.47, 95% CI 1.57-3.87, p=<0.001). Diastolic dysfunction grading predicted all-cause mortality in HFrEF (Johansen Grade I vs III: HR 2.47; 95% CI 1.57-3.87; P<0.001), and adding global longitudinal strain improved prognostic performance.
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