Development of immune factors over visits in the AAF-syn treatment group as (A) scores and (B) loadings when using the AAF treatment group as a reference. 由 Diana M. Hendrickx (1507435)

Results of comparing treatment groups within visits using linear mixed models and post hoc analysis. 由 Diana M. Hendrickx (1507435)

Proteins with at least one significant difference (adjusted p-value ≤ 0.05) between visits within allergy groups as determined by linear mixed models and post hoc analysis. 由 Diana M. Hendrickx (1507435)

Results of comparing visits within treatment groups using linear mixed models and post hoc analysis. 由 Diana M. Hendrickx (1507435)

Proteins with at least one significant difference (adjusted p-value ≤ 0.05) between visits within treatment groups as determined by linear mixed models and post hoc analysis. 由 Diana M. Hendrickx (1507435)

KEGG pathways (with at least 4 measured proteins) that have at least one significant difference (adjusted p-value (q-value) ≤ 0.05) between treatment groups within visits as determ... 由 Diana M. Hendrickx (1507435)

Results of comparing treatment groups within visits using KEGG pathway enrichment in ConsensusPathDB. 由 Diana M. Hendrickx (1507435)

Results of comparing allergy groups within visits using KEGG pathway enrichment in ConsensusPathDB. 由 Diana M. Hendrickx (1507435)

KEGG pathways (with at least 4 measured proteins) that have at least one significant difference (adjusted p-value (q-value) ≤ 0.05) between visits within treatment groups as determ... 由 Diana M. Hendrickx (1507435)

Results of comparing visits within treatment groups using KEGG pathway enrichment in ConsensusPathDB. 由 Diana M. Hendrickx (1507435)

KEGG pathways (with at least 4 measured proteins) that have at least one significant difference (adjusted p-value (q-value) ≤ 0.05) between visits within allergy groups as determin... 由 Diana M. Hendrickx (1507435)

Results of comparing visits within allergy groups using KEGG pathway enrichment in ConsensusPathDB. 由 Diana M. Hendrickx (1507435)

Potential mechanisms for persistent CMA (left) and resolution of CMA (right) revealed by our study. 由 Diana M. Hendrickx (1507435)

Graphical representations of the means of the variables length of stay, waiting time, treatment time, number of medical procedures performed, number of specialists involved in trea... 由 Caro Fuchs (6278186)

Interview topic guide in English. 由 Gislaine F. Bonella (15188236)

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Active failures, error-producing and latent conditions (adapted from the Reason’s Accident Causation model) [21]. 由 Gislaine F. Bonella (15188236)

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Definitions used in Reason’s Accident Causation model” [21]. 由 Gislaine F. Bonella (15188236)

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Themes identified from the reports as latent conditions [21]. 由 Gislaine F. Bonella (15188236)

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Interview topic guide in Portuguese. 由 Gislaine F. Bonella (15188236)

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Themes identified from the reports as error-producing conditions [21]. 由 Gislaine F. Bonella (15188236)

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