Lung ultrasound score in dogs and cats: A reliability study.

agreement lung aeration pattern recognition point-of-care ultrasound repeatability respiratory distress thoracic ultrasound

Journal

Journal of veterinary internal medicine
ISSN: 1939-1676
Titre abrégé: J Vet Intern Med
Pays: United States
ID NLM: 8708660

Informations de publication

Date de publication:
27 Nov 2023
Historique:
received: 07 07 2023
accepted: 15 11 2023
medline: 27 11 2023
pubmed: 27 11 2023
entrez: 27 11 2023
Statut: aheadofprint

Résumé

Lung ultrasound (LUS) is a noninvasive tool for examining respiratory distress patients. The lung ultrasound score (LUSS) can be used to quantify and monitor lung aeration loss with good reliability. Assess the reliability of a new LUSS among raters with different levels of experience and determine how well the same raters agree on identifying patterns of LUS abnormalities. Forty LUS examinations of dogs and cats and 320 videos were reviewed from a digital database. Retrospective reliability study with post hoc analysis. Protocolized LUS were randomly selected; intrarater and interrater reliability of the LUSS and pattern recognition agreement among 4 raters with different levels of experience in LUS were tested. The intrarater intraclass correlation coefficient (ICC) single measurement, absolute agreement, and 2-way mixed effects model was 0.967 for the high-experience rater (H-Exp), 0.963 and 0.952 for the medium-experience raters (M-Exp-1; M-Exp-2), and 0.950 for the low-experience rater (L-Exp). The interrater ICC average measurement, absolute agreement, and 2-way random effects model among the observers was 0.980. The Fleiss' kappa (k) values showed almost perfect agreement (k = 1) among raters in identifying pleural effusion and translobar tissue-like pattern, strong agreement for A-lines (k = 0.881) and B-lines (k = 0.806), moderate agreement (k = 0.693) for subpleural loss of aeration, and weak agreement (k = 0.474) for irregularities of the pleural line. Our results indicate excellent intra- and interrater reliability for LUS scoring and pattern identification, providing a foundation for the use of the LUSS in emergency medicine and intensive care.

Sections du résumé

BACKGROUND BACKGROUND
Lung ultrasound (LUS) is a noninvasive tool for examining respiratory distress patients. The lung ultrasound score (LUSS) can be used to quantify and monitor lung aeration loss with good reliability.
HYPOTHESIS/OBJECTIVES OBJECTIVE
Assess the reliability of a new LUSS among raters with different levels of experience and determine how well the same raters agree on identifying patterns of LUS abnormalities.
ANIMALS METHODS
Forty LUS examinations of dogs and cats and 320 videos were reviewed from a digital database.
METHODS METHODS
Retrospective reliability study with post hoc analysis. Protocolized LUS were randomly selected; intrarater and interrater reliability of the LUSS and pattern recognition agreement among 4 raters with different levels of experience in LUS were tested.
RESULTS RESULTS
The intrarater intraclass correlation coefficient (ICC) single measurement, absolute agreement, and 2-way mixed effects model was 0.967 for the high-experience rater (H-Exp), 0.963 and 0.952 for the medium-experience raters (M-Exp-1; M-Exp-2), and 0.950 for the low-experience rater (L-Exp). The interrater ICC average measurement, absolute agreement, and 2-way random effects model among the observers was 0.980. The Fleiss' kappa (k) values showed almost perfect agreement (k = 1) among raters in identifying pleural effusion and translobar tissue-like pattern, strong agreement for A-lines (k = 0.881) and B-lines (k = 0.806), moderate agreement (k = 0.693) for subpleural loss of aeration, and weak agreement (k = 0.474) for irregularities of the pleural line.
CONCLUSIONS AND CLINICAL IMPORTANCE CONCLUSIONS
Our results indicate excellent intra- and interrater reliability for LUS scoring and pattern identification, providing a foundation for the use of the LUSS in emergency medicine and intensive care.

Identifiants

pubmed: 38009739
doi: 10.1111/jvim.16956
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals LLC on behalf of American College of Veterinary Internal Medicine.

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Auteurs

Stefano Oricco (S)

Centro Veterinario Imperiese, Imperia, Italy.
Department of Veterinary Sciences, University of Parma, Parma, Italy.

Daniele Medico (D)

Centro Veterinario Imperiese, Imperia, Italy.

Ilaria Tommasi (I)

Centro Veterinario Imperiese, Imperia, Italy.

Richard Marcello Bini (RM)

Centro Veterinario Imperiese, Imperia, Italy.

Roberto Rabozzi (R)

Policlinico Veterinario Roma Sud, Roma, Italy.

Classifications MeSH