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Table 1.

Description of the horse population.

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Table 2.

Analysis of the association between the presence of fungal elements in TW of horses and selected predictor variables.

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Table 3.

Analysis of the association between asthma status of horses and selected predictor variables.

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Fig 1.

Macrophage with an intracellular spore. Direct smear of tracheal wash stained with modified Wright-Giemsa stain at 1000x oil magnification, bar = 50 μm.

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Fig 2.

Fungal hyphae.

Direct smear of tracheal wash stained with modified Wright-Giemsa stain at 1000x oil magnification, bar = 50 μm.

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Fig 2 Expand

Fig 3.

Macrophage with an intracellular spore.

Direct smear of tracheal wash stained with modified Wright-Giemsa stain at 200x magnification, bar = 200 μm.

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Fig 4.

Multinucleated giant cell with ≥ 3 nuclei.

Direct smear of tracheal wash stained with modified Wright-Giemsa stain at 1000x oil magnification, bar = 50 μm.

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Fig 4 Expand

Fig 5.

Multinucleated giant cell with ≥ 10 nuclei.

Direct smear of tracheal wash stained with modified Wright-Giemsa stain at 1000x oil magnification, bar = 50 μm.

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Fig 5 Expand

Table 4.

A. Best multivariable logistic regression model to predict the presence of TW fungi based on AIC score (including the predictor variable TW MGC3). B. Best multivariable logistic regression model to predict the presence of TW fungi based on AIC score (including the predictor variable TW MGC10).

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Table 5.

A. Best multivariable logistic regression model to predict the asthma status based on AIC score (including the predictor variable TW MGC3). B. Best multivariable logistic regression model to predict the asthma status based on AIC score (including the predictor variable TW MGC10).

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Table 5 Expand