Key result
An echo-derived haemodynamic model independently predicted all-cause mortality and heart failure hospitalization (P<0.001 for C-statistics), with LV-GLS adding prognostic value in normal SVI patients.
Why the study?
It was unknown whether left ventricular global longitudinal strain could integrate echocardiography-derived haemodynamic profiles to risk stratify chronic heart failure patients.
Does the combination of echo-derived haemodynamic phenotypes and LV-GLS improve risk stratification in chronic heart failure outpatients with LVEF <50%?
Cohort (n=351)
Does the combination of echo-derived haemodynamic phenotypes and LV-GLS improve risk stratification in chronic heart failure outpatients with LVEF <50%?
p-value: p=<0.001
Combining echo-derived haemodynamic phenotypes with LV-GLS provides incremental prognostic value over LVEF in chronic heart failure patients, particularly in those with normal stroke volume index.
AIMS: Echocardiography has shown to categorize heart failure (HF) patients according to haemodynamic profiles. Whether left ventricular (LV) global longitudinal strain (LV-GLS) could integrate echo-derived haemodynamic profiles to risk stratify chronic HF patients is still unknown. METHODS AND RESULTS: Chronic HF outpatients with LV ejection fraction (LV-EF) <50% (n = 351) and LV-GLS assessment were evaluated and divided according to four haemodynamic phenotypes based on LV stroke volume index (SVI), LV filling pressure (LVFP), and right ventricular (RV) function: normal output-normal LVFP (NO-NP), normal output-high LVFP (NO-HP), low output-no RV dysfunction (LO-NRVD), and low output-RV dysfunction (LO-RVD). RV function was defined using the tricuspid annular plane systolic excursion and RV free-wall longitudinal strain. The median follow-up duration was 3.3 years. The combination of all-cause mortality and HF hospitalization was the primary endpoint. Secondary endpoints were all-cause mortality and cardiovascular mortality. The prevalence of NO-NP, NO-HP, LO-NRVD, and LO-RVD were 38%, 22%, 30%, and 10%, respectively. The haemodynamic model independently predicted primary and secondary outcomes, with incremental prognostic information over LV-EF (all P-values <0.001 for C-statistics). When univariate Cox regression analysis was performed to assess the prognostic stratification capability of LV-GLS in different haemodynamic subgroups, we observed a reduction in LV-GLS hazard ratios from the NO-NP to the LO-RVD for every endpoint. CONCLUSION: There was a continuum in LV-GLS impairment across the spectrum of haemodynamic phenotypes and its prognostic value resulted variable depending on the types of chronic HF patients. The highest prognostic information added by LV-GLS was in patients with normal SVI.
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Dini et al. (2022) conducted a cohort in Chronic heart failure with reduced ejection fraction (n=351). Echo-derived haemodynamic phenotypes and LV-GLS was evaluated on Combination of all-cause mortality and HF hospitalization (p=<0.001). An echo-derived haemodynamic model independently predicted all-cause mortality and heart failure hospitalization (P<0.001 for C-statistics), with LV-GLS adding prognostic value in normal SVI patients.
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