Evidence map›Paper›PMID 39134475›Full record

ArticleEquine veterinary journal2025

Differences in pulmonary function measured by oscillometry between horses with mild-moderate equine asthma and healthy controls.

Chiara Maria Lo Feudo, Francesco Ferrucci, Davide Bizzotto, Raffaele Dellacà, Jean-Pierre Lavoie, Luca Stucchi

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Article in Equine veterinary journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chiara Maria Lo FeudoEquine Sports Medicine Laboratory "Franco Tradati", Department of Veterinary Medicine and Animal Sciences, Università Degli Studi di Milano, Lodi, Italy.ORCID https://orcid.org/0000-0002-9964-2753
Francesco FerrucciEquine Sports Medicine Laboratory "Franco Tradati", Department of Veterinary Medicine and Animal Sciences, Università Degli Studi di Milano, Lodi, Italy.
Davide BizzottoTechRes Lab, Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, Milan, Italy.
Raffaele DellacàTechRes Lab, Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, Milan, Italy.
Jean-Pierre LavoieDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, Quebec, Canada.ORCID https://orcid.org/0000-0003-4655-2102
Luca StucchiDepartment of Veterinary Medicine, Università degli Studi di Sassari, Sassari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe diagnosis of mild-moderate equine asthma (MEA) can be confirmed by airway endoscopy, bronchoalveolar lavage fluid (BALf) cytology, and lung function evaluation by indirect pleural pressure measurement. Oscillometry is a promising pulmonary function test method, but its ability to detect subclinical airway obstruction has been questioned.

objectivesTo evaluate the differences in lung function measured by oscillometry between healthy and MEA-affected horses. STUDY

designProspective case-control clinical study.

methodsThirty-seven horses were divided into healthy and MEA groups, based on history and clinical score; the diagnosis of MEA was confirmed by airway endoscopy and BALf cytology. Horses underwent oscillometry at frequencies ranging from 2 to 6 Hz. Obtained parameters included whole-breath, inspiratory, expiratory, and the difference between inspiratory and expiratory resistance (Rrs) and reactance (Xrs). Differences between oscillometry parameters at different frequencies were evaluated within and between groups by repeated-measures two-way ANOVA and post hoc tests with Bonferroni correction. Frequency dependence was compared between groups by t test. For significant parameters, a receiver operating characteristics curve was designed, cut-off values were identified and their sensitivity and specificity were calculated. Statistical significance was set at p < 0.05.

resultsNo significant differences in Xrs and Rrs were observed between groups. The frequency dependence of whole-breath and inspiratory Xrs significantly differed between healthy (respectively, -0.03 ± 0.02 and -0.05 ± 0.02 cmH MAIN LIMITATIONS: Sample size, no BALf cytology in some healthy horses.

conclusionsOscillometry can represent a useful non-invasive tool for the diagnosis of MEA. Specifically, the evaluation of the frequency dependence of Xrs may be of special interest.

Indexed as

AsthmaHorse DiseasesOscillometryRespiratory Function TestsAnimalsBronchoalveolar Lavage FluidCase-Control StudiesFemaleHorsesMaleProspective Studiesequine asthmaforced oscillation techniquehorselung functionoscillometryrespiratory medicine

Identifiers

PMID39134475
PMCPMC11982413

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.