Why the study?
Manual echocardiographic EF quantification is time-consuming and user-dependent, while PAC-derived CO is invasive, creating interest in evaluating a novel semi-automated TTE software (AutoEF).
Does semi-automated TTE (AutoEF) accurately measure ejection fraction and cardiac output compared to TOE and thermodilution in patients undergoing CABG?
Does semi-automated TTE (AutoEF) accurately measure ejection fraction and cardiac output compared to TOE and thermodilution in patients undergoing CABG?
Answers are grounded in this paper and cite their sources.
A novel semi-automated TTE method (AutoEF) systematically underestimates ejection fraction and cardiac output compared to standard TOE and thermodilution in CABG patients, limiting its reliability in this setting.
Background Echocardiographic quantification of ejection fraction (EF) by manual endocardial tracing requires training, is time-consuming and potentially user-dependent, whereas determination of cardiac output by pulmonary artery catheterization (PAC) is invasive and carries a risk of complications. Recently, a novel software for semi-automated EF and CO assessment (AutoEF) using transthoracic echocardiography (TTE) has been introduced. We hypothesized that AutoEF would provide EF values different from those obtained by the modified Simpson’s method in transoesophageal echocardiography (TOE) and that AutoEF CO measurements would not agree with those obtained via VTI LVOT in TOE and by thermodilution using PAC. Methods In 167 patients undergoing coronary artery bypass graft surgery (CABG), TTE cine loops of apical 4- and 2-chamber views were recorded after anaesthesia induction under steady-state conditions. Subsequently, TOE was performed following a standardized protocol, and CO was determined by thermodilution. EF and CO were assessed by TTE AutoEF as well as TOE, using the modified Simpson’s method, and Doppler measurements via velocity time integral in the LV outflow tract (VTI LVOT ). We determined Pearson’s correlation coefficients r and carried out Bland–Altman analyses. The primary endpoints were differences in EF and CO . The secondary endpoints were differences in left ventricular volumes at end diastole (LVEDV) and end systole (LVESV). Results AutoEF and the modified Simpson’s method in TOE showed moderate EF correlation ( r = 0.38, p < 0.01) with a bias of -12.6% (95% limits of agreement (95%LOA): -36.6 – 11.3%). AutoEF CO correlated poorly both with VTI LVOT in TOE ( r = 0.19, p < 0.01) and thermodilution ( r = 0.28, p < 0.01). The CO bias between AutoEF and VTI LVOT was 1.33 l min −1 (95%LOA: -1.72 – 4.38 l min −1 ) and 1.39 l min −1 (95%LOA -1.34 – 4.12 l min −1 ) between AutoEF and thermodilution, respectively. AutoEF yielded both significantly lower EF (EF AutoEF : 42.0% (IQR 29.0 — 55.0%) vs. EF TOE Simpson : 55.2% (IQR 40.1 — 70.3%), p < 0.01) and CO values than the reference methods ( CO AutoEF biplane : 2.30 l min −1 (IQR 1.30 - 3.30 l min −1 ) vs. CO VTI LVOT : 3.64 l min −1 (IQR 2.05 - 5.23 l min −1 ) and CO PAC : 3.90 l min −1 (IQR 2.30 - 5.50 l min −1 ), p < 0.01)). Conclusions AutoEF correlated moderately with TOE EF determined by the modified Simpson’s method but poorly both with VTI LVOT and thermodilution CO . A systematic bias was detected overestimating LV volumes and underestimating both EF and CO compared to the reference methods. Trial registration German Register for Clinical Trials (DRKS-ID DRKS00010666, date of registration: 08/07/2016).
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Komanek et al. (2023) studied this question.
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