Left atrial reservoir strain provides incremental value to left atrial volume index for evaluation of left ventricular filling pressure.


Journal

Echocardiography (Mount Kisco, N.Y.)
ISSN: 1540-8175
Titre abrégé: Echocardiography
Pays: United States
ID NLM: 8511187

Informations de publication

Date de publication:
09 2021
Historique:
revised: 22 05 2021
received: 03 04 2021
accepted: 06 07 2021
pubmed: 7 8 2021
medline: 15 12 2021
entrez: 6 8 2021
Statut: ppublish

Résumé

Left atrial analysis is employed in diastolic assessment with left atrial volume index (LAVI) incorporated in the 2016 ASE/EACVI diastology guideline algorithm. LAVI has sub-optimal correlation with invasive left ventricular filling pressure (LVFP) and incorporation of left atrial reservoir strain (LASr) may improve diastolic assessment. A cross-sectional prospective study of 139 patients was undertaken with all patients undergoing transthoracic echocardiography immediately prior to cardiac catheterization with invasive evaluation of LVFP. LASr by speckle tracking echocardiography and conventional echocardiographic parameters were assessed in relation to invasive LVFP. Modification of the 2016 guideline algorithm was performed with incorporation of LASr in place of LAVI (LASr ≤23% indicating elevated LVFP). Accuracy of the modified and conventional algorithm were assessed for predicting invasive LVFP. The mean age was 63±12 years with 27% female. LASr demonstrated superior correlation and receiver operator characteristic for predicting LVFP than LAVI (LASr: r -.46 (p < 0.01), AUC: .82 vs LAVI: r .19 (p 0.02), AUC: .66). LASr of ≤23% was the optimal cut-off for discriminating elevated LVFP (sensitivity 80%, specificity 77%). Modification of the 2016 algorithm with incorporation of LASr in place of LAVI reclassified 12% of the patient cohort and improved concordance of echocardiographic and invasive LVFP assessment (modified algorithm κ .47 vs 2016 algorithm κ: .33). No patients were incorrectly reclassified by modified algorithm assessment. LASr better predicts invasive LVFP than LAVI. Modification of the 2016 guideline algorithm with incorporation of LASr in place of LAVI improves accuracy of echocardiographic assessment of LVFP.

Sections du résumé

BACKGROUND
Left atrial analysis is employed in diastolic assessment with left atrial volume index (LAVI) incorporated in the 2016 ASE/EACVI diastology guideline algorithm. LAVI has sub-optimal correlation with invasive left ventricular filling pressure (LVFP) and incorporation of left atrial reservoir strain (LASr) may improve diastolic assessment.
METHODS
A cross-sectional prospective study of 139 patients was undertaken with all patients undergoing transthoracic echocardiography immediately prior to cardiac catheterization with invasive evaluation of LVFP. LASr by speckle tracking echocardiography and conventional echocardiographic parameters were assessed in relation to invasive LVFP. Modification of the 2016 guideline algorithm was performed with incorporation of LASr in place of LAVI (LASr ≤23% indicating elevated LVFP). Accuracy of the modified and conventional algorithm were assessed for predicting invasive LVFP.
RESULTS
The mean age was 63±12 years with 27% female. LASr demonstrated superior correlation and receiver operator characteristic for predicting LVFP than LAVI (LASr: r -.46 (p < 0.01), AUC: .82 vs LAVI: r .19 (p 0.02), AUC: .66). LASr of ≤23% was the optimal cut-off for discriminating elevated LVFP (sensitivity 80%, specificity 77%). Modification of the 2016 algorithm with incorporation of LASr in place of LAVI reclassified 12% of the patient cohort and improved concordance of echocardiographic and invasive LVFP assessment (modified algorithm κ .47 vs 2016 algorithm κ: .33). No patients were incorrectly reclassified by modified algorithm assessment.
CONCLUSIONS
LASr better predicts invasive LVFP than LAVI. Modification of the 2016 guideline algorithm with incorporation of LASr in place of LAVI improves accuracy of echocardiographic assessment of LVFP.

Identifiants

pubmed: 34355811
doi: 10.1111/echo.15157
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1503-1513

Informations de copyright

© 2021 Wiley Periodicals LLC.

Références

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Auteurs

Stephen Tomlinson (S)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia.
School of Medicine and Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia.

Gregory M Scalia (GM)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia.
School of Medicine, University of Queensland, Brisbane, Australia.

Vinesh Appadurai (V)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia.
School of Medicine, University of Queensland, Brisbane, Australia.

Natalie Edwards (N)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia.
School of Medicine and Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia.

Michael Savage (M)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia.

Alfred K-Y Lam (AK)

School of Medicine and Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia.

Jonathan Chan (J)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia.
School of Medicine and Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia.

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