A Swiss database and biobank to better understand and manage congenital lung anomalies.

Details

Ressource 1Download: 31256411.pdf (763.99 [Ko])
State: Public
Version: Final published version
License: CC BY-NC-ND 4.0
Serval ID
serval:BIB_03F349DF3E32
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
A Swiss database and biobank to better understand and manage congenital lung anomalies.
Journal
Swiss medical weekly
Author(s)
Vidal I., Wildhaber B.E., Moehrlen U., Regamey N., Trachsel D., Cholewa D., Barben J., Barazzone-Argiroffo C., Ruchonnet-Métrailler I.
ISSN
1424-3997 (Electronic)
ISSN-L
0036-7672
Publication state
Published
Issued date
17/06/2019
Peer-reviewed
Oui
Volume
149
Pages
w20081
Language
english
Notes
Publication types: Journal Article ; Observational Study
Publication Status: epublish
Abstract
Congenital lung anomalies are a group of rare malformations, often diagnosed during the prenatal period. Guidelines on how to manage these patients are currently under debate, especially with regard to prophylactic surgery in asymptomatic patients, or how to proceed with conservative follow-up. Currently, there is no clear consensus on management strategies. A Swiss congenital lung anomaly national database and biobank was created in 2016 to enable data recording and collection of surgical lung samples in order to help define the most appropriate management strategies. This national observational cohort study represents an important step towards a better understanding of the pathophysiology and clinical course of the diseases included under congenital lung anomalies, especially in the context of a small country like Switzerland.
Keywords
Adolescent, Biological Specimen Banks, Child, Child, Preschool, Cohort Studies, Databases, Factual, Humans, Infant, Infant, Newborn, Lung Diseases/congenital, Lung Diseases/physiopathology, Lung Diseases/therapy, Prenatal Diagnosis, Rare Diseases, Switzerland
Pubmed
Web of science
Open Access
Yes
Create date
18/07/2019 17:43
Last modification date
13/04/2024 7:08
Usage data