Why the study?
Current recommendations on echocardiographic LAP estimation have limited accuracy, particularly in patients with normal resting LAP but steep elevation on exertion.
Does left atrial global strain improve the non-invasive estimation of elevated left ventricular filling pressures compared to the currently recommended echocardiographic algorithm in patients with heart failure?
Does left atrial global strain improve the non-invasive estimation of elevated left ventricular filling pressures compared to the currently recommended echocardiographic algorithm in patients with heart failure?
Left atrial global strain provides a more accurate non-invasive estimation of elevated left ventricular filling pressures at rest and during exercise compared to current guideline-recommended echocardiographic algorithms.
LA strain may aid non-invasive LAP estimation in exertional HF; leaves open incremental diagnostic value pending prospective validation.
Left ventricular diastolic pressure estimation is essential for characterization of heart failure (HF). Patients with normal resting left atrial (LA) pressures (LAP), but steep LAP elevation on exertion, pose a particular diagnostic challenge. Current recommendations on echocardiographic LAP estimation have limited accuracy. Our aim was to investigate whether LA mechanical alterations assessed by LA strain (LA-GS) can contribute to non-invasive LAP diagnostics. Simultaneous echocardiographic and right heart catheterization (RHC) data at rest and during exercise was analyzed in 164 prospectively enrolled patients, referred for RHC due to HF symptoms. 56% had preserved ejection fraction (pEF). At rest, 97 patients displayed elevated mean pulmonary arterial wedge pressure (PAWP M ); further 32 patients had normal resting, but elevated PAWP M during exercise. LA-GS demonstrated a stronger relationship with resting PAWP M ( r = − 0.61, p < 0.001) than any of the indices ( E / e ′, LAVi, TRV max ) incorporated in the currently recommended diagnostic algorithm. The diagnostic ability of LA-GS for detecting elevated resting PAWP M (AUC: 0.80, p < 0.001) outperformed that of the recommended algorithm (AUC: 0.69). Importantly, resting LA-GS performed even better in identifying patients with pathological PAWP M either at rest or during stress (AUC: 0.90, p < 0.001), whereas the diagnostic potential of the current algorithm was modest and limited to pEF patients (AUC = 0.72). Finally, among the non-invasive indices, LA-GS entailed the strongest prognostic value for death or heart transplantation (OR: 2.7; p < 0.05). LA-GS comprises a robust method for PAWP M assessment at rest. More importantly, it reliably discerns pathological PAWP M rise on exertion despite normal resting pressures.
No takes yet. Share an insight, caveat, or question.
Lundberg et al. (2018) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: