Repeatability, reproducibility, and reference intervals for indices of right atrial longitudinal strain derived from speckle-tracking echocardiography in healthy dogs.


Journal

American journal of veterinary research
ISSN: 1943-5681
Titre abrégé: Am J Vet Res
Pays: United States
ID NLM: 0375011

Informations de publication

Date de publication:
Apr 2021
Historique:
entrez: 25 3 2021
pubmed: 26 3 2021
medline: 30 3 2021
Statut: ppublish

Résumé

To determine repeatability, reproducibility, and reference intervals of indices of right atrial longitudinal strain (RALS) derived from speckle-tracking echocardiography (STE) in dogs without heart disease. 110 client-owned dogs and 10 laboratory Beagles. To determine intraobserver within-day (repeatability) and interobserver (reproducibility) coefficients of variation, RALS during ventricular systole (ϵS), ventricular early diastole (ϵE), and atrial systole (ϵA), as derived with STE, were obtained by 2 investigators for 5 randomly selected client-owned dogs and analyzed by linear regression. Reference intervals were estimated from the results of all dogs. Correlations between RALS indices (ϵS, ϵE, and ϵA) and sex, age, body weight, heart rate, and blood pressure were determined. RALS derived from STE showed good intraobserver within-day repeatability and interobserver reproducibility, with coefficients of variation of < 20%. Both ϵS and ϵE were significantly negatively correlated with age, but ϵA was not correlated with age. Indices were not correlated with sex, body weight, or blood pressure. RALS indices derived from STE were repeatable and reproducible and were affected by the age of dogs without heart disease. Age should be considered in the interpretation of RALS indices in clinical settings. Further studies are needed to apply RALS indices for assessing dogs with heart disease.

Identifiants

pubmed: 33764827
doi: 10.2460/ajvr.82.4.274
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

274-279

Auteurs

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Classifications MeSH