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- W3217040493 abstract "<b>Introduction:</b> Pulmonary hemorrhages represent a rare but severe condition in pediatric patients. Distinction between various underlying causes may be tricky although being essential especially for long-term treatment. <b>Aims and objectives:</b> We analysed children with lung bleedings to find out whether current nomenclature is sufficient and exact. Based on this analysis, we tried to establish subcategories and a diagnostic algorithm for pediatric pulmonary hemorrhages. <b>Methods:</b> A retrospective data analysis of a cohort of 151 pediatric patients with lung bleedings treated in our own or collaborating centres was performed. Patients with cystic fibrosis were excluded as having already a distinct diagnosis. Classification was done based on available diagnostic results. Whenever necessary to enable illustration of the clinical phenotype, the Human Phenotype Ontology (HPO) was extended by creating new terms. <b>Results:</b> As there is no existing standard classification of pediatric pulmonary hemorrhages, patient‘s initial diagnosis was frequently „idiopathic pulmonary hemosiderosis“. Taking into account laboratory, radiological and histological findings, we present a suggestion for a new subcategories and diagnostic algorithm aiming at a more precise subdivision of pediatric pulmonary hemorrhage. The algorithm includes the use of the HPO and the „Phenomizer“ as its associated tool and emphasizes the diagnostic value of computer-based algorithms especially for cases with extrapulmonary involvement. <b>Conclusions:</b> Applicated in clinical practice, this algorithm could lead to a more precise distinction of pediatric pulmonary hemorrhages and accelerate access to disease-specific treatment." @default.
- W3217040493 created "2021-12-06" @default.
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- W3217040493 date "2021-09-05" @default.
- W3217040493 modified "2023-09-24" @default.
- W3217040493 title "Specifying pediatric pulmonary hemorrhage: Suggestion of a diagnostic algorithm as guide to disease subcategories" @default.
- W3217040493 doi "https://doi.org/10.1183/13993003.congress-2021.oa4237" @default.
- W3217040493 hasPublicationYear "2021" @default.
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