Predictors of Long-Term Pulmonary Morbidity in Children with Congenital Diaphragmatic Hernia.


Journal

European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie
ISSN: 1439-359X
Titre abrégé: Eur J Pediatr Surg
Pays: United States
ID NLM: 9105263

Informations de publication

Date de publication:
Feb 2019
Historique:
pubmed: 26 12 2018
medline: 26 2 2019
entrez: 25 12 2018
Statut: ppublish

Résumé

 The aim is to identify prognostic markers of long-term pulmonary morbidity among congenital diaphragmatic hernia (CDH) survivors.  A single-institution, retrospective review was performed on all CDH patients from 2000 and 2012 (REB#1000053383). Liver position, patch use, and pulmonary function tests (PFTs) (forced expiratory volume at 1 second [FEV1] and forced vital capacity [FVC] expressed as mean % predicted + SD) were recorded. Data were analyzed using analysis of variance.  Patients with acceptable and reproducible PFT (  Decreased pulmonary function of CDH survivors correlated with the use of patch repair and liver position. CDH lung disease should be monitored in adulthood.

Identifiants

pubmed: 30583297
doi: 10.1055/s-0038-1676586
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

120-124

Informations de copyright

Georg Thieme Verlag KG Stuttgart · New York.

Déclaration de conflit d'intérêts

None declared.

Auteurs

Robin B Wigen (RB)

Division of Pediatric General and Thoracic Surgery, Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada.

Wenming Duan (W)

Division of Respiratory Medicine, Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada.

Theo J Moraes (TJ)

Division of Respiratory Medicine, Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada.

Priscilla P L Chiu (PPL)

Division of Pediatric General and Thoracic Surgery, Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada.

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Classifications MeSH