Authors’ reply to “Left atrial strain: an operator and software-dependent tool”
Marta Cicetti, François Bagate, Cristina Lapenta, Ségolène Gendreau, Paul Masi, Armand Mekontso Dessap

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCardiovascular Function and Risk Factors · Cardiac Imaging and Diagnostics · Cardiac pacing and defibrillation studies
Dear Editor,
We thank Beyls and colleagues for their interest in our recent article on left atrial strain (LAS) [1]. They stated that our sample size calculation, based on a predicted 5% increase in the LAS reservoir (LASr), might be underestimated given that the repeatability and reliability of the LAS measurement is unknown. As stated in the Methods section of our paper, we attempted to minimise measurement inconsistencies. First, we used Automated Function Imaging (AFI) left atrial software (EchoPAC, GE Healthcare), which follows the 2018 EACVI-ASE Strain Standardised Task Force guidelines [2]. Second, we performed LAS analysis according to the cited recommendations [2], including measurement of left atrial strain in both four-chamber and two-chamber apical views. The same methodology has been used in large studies that have helped to define reference values for LAS [3]. Third, we assessed intra-observer variability in 10 randomly selected subjects using the interclass correlation coefficient (ICC), a measure of repeatability according to the study by Bunting et al. [4]. In our cohort, intra-observer analysis showed good repeatability of the three components of left atrial strain: LASr (ICC = 0.92), LAS conduit (LAScd) (ICC = 0.81), LAS contraction (LASct) (ICC = 0.95). Finally, we performed intra- and inter-observer variability analysis according to the methods of previous studies, including the paper by Beyls et al. [5], which investigated LAS as a predictive marker of atrial fibrillation (AF) in patients with COVID-19 pneumonia.
Beyls et al. mentioned that the value of the LASr we identified for sample size calculation was derived from previous studies using different software for LAS analysis and that there is some evidence of inter-vendor variability in strain measurements. They cited the study by Wang et al. [6] comparing EchoPAC version 201 (GE Vingmed Ultrasound) and Image Arena 2D Cardiac Performance Analysis version 4.6 (TomTec Imaging Systems, Unterschleissheim, Germany). However, in the paper by Wang et al. [6], the EchoPAC system used the LV strain package to assess LAS, as did many other studies prior to the commercialisation of the AFI left atrial software. To our knowledge, there are no published studies comparing EchoPAC AFI left atrial and TomTec.
The authors correctly mentioned that assessing fluid responsiveness by Left Ventricular Outflow Tract – Velocity Time Integral (LVOT – VTI) variation may have led to misclassification of patients. We agree that this is a limitation of our work and have already discussed this in the Limitations section of the article. The observational nature of our study necessitated the use of echocardiography to estimate cardiac output, as haemodynamic monitoring is routinely performed by echocardiography in our ICU. Regarding the observed improvement in haemodynamics in the non-responder group, although the increase in arterial pressure during volume expansion was statistically significant, its clinical relevance is questionable.
The authors highlight that we studied a heterogeneous cohort of patients with varying degrees of pre-existing left atrial dysfunction prior to ICU admission; this may have influenced the LAS response to fluid administration. We agree that cardiac comorbidities may affect atrial function in the acute setting and influence treatment response. However, it is difficult to investigate the contribution of pre-admission pathology because baseline echocardiography is not always available and rarely includes left atrial strain measurement. We tested the two groups (fluid responders and non-responders) for differences in comorbidities and there was no significant difference (unpublished). From a pragmatic perspective, as chronic cardiovascular disease is common in critically ill patients, we believe that our cohort reflects the routine practice ICU population.
In conclusion, we agree that further studies are needed to investigate the usefulness of LAS in critically ill patients.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Badano LP, Kolias TJ, Muraru D, Abraham TP, Aurigemma G, Edvardsen T, D’Hooge J, Donal E, Fraser AG, Marwick T, Mertens L, Popescu BA, Sengupta PP, Lancellotti P, Thomas JD, Voigt JU. Industry representatives; Reviewers: This document was reviewed by members of the 2016–2018 EACVI Scientific Documents Committee. Standardization of left atrial, right ventricular, and right atrial deformation imaging using two-dimensional speckle tracking echocardiography: a consensus document of the EACVI/ASE/Ind · doi ↗ · pubmed ↗
