Can lung ultrasound score accurately predict the need for surfactant  replacement in preterm neonates? A systematic review and meta-analysis protocol.

Respiratory distress syndrome (RDS) is a leading cause of morbidity and mortality in preterm infants due to primary surfactant deficiency. Surfactant replacement has greatly improved the short and long term prognosis of RDS but its administration criteria remain uncertain. Lung ultrasound has been r...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Letizia Capasso, Daniela Pacella, Fiorella Migliaro, Daniele De Luca, Francesco Raimondi
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/2d9d6bb3cf614cd0bdfa8ca0beaff4e2
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:2d9d6bb3cf614cd0bdfa8ca0beaff4e2
record_format dspace
spelling oai:doaj.org-article:2d9d6bb3cf614cd0bdfa8ca0beaff4e22021-12-02T20:09:01ZCan lung ultrasound score accurately predict the need for surfactant  replacement in preterm neonates? A systematic review and meta-analysis protocol.1932-620310.1371/journal.pone.0255332https://doaj.org/article/2d9d6bb3cf614cd0bdfa8ca0beaff4e22021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0255332https://doaj.org/toc/1932-6203Respiratory distress syndrome (RDS) is a leading cause of morbidity and mortality in preterm infants due to primary surfactant deficiency. Surfactant replacement has greatly improved the short and long term prognosis of RDS but its administration criteria remain uncertain. Lung ultrasound has been recently shown as a non-invasive, repeatable, bedside tool to estimate parenchymal aeration using a semiquantitative score (LUS). The objective of this systematic review and meta-analysis is to evaluate the accuracy of LUS, assessed on the first day of life, to predict surfactant replacement. Methods will follow the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidelines and the protocol has been registered in PROSPERO database (registration number: CRD42021247888). Primary outcome: in a population of preterm infants, LUS will be compared in neonates who received surfactant replacement versus those who did not. Secondary outcome will be the accuracy of lung ultrasound score to predict the need for ≥ 2 doses of surfactant.Letizia CapassoDaniela PacellaFiorella MigliaroDaniele De LucaFrancesco RaimondiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0255332 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Letizia Capasso
Daniela Pacella
Fiorella Migliaro
Daniele De Luca
Francesco Raimondi
Can lung ultrasound score accurately predict the need for surfactant  replacement in preterm neonates? A systematic review and meta-analysis protocol.
description Respiratory distress syndrome (RDS) is a leading cause of morbidity and mortality in preterm infants due to primary surfactant deficiency. Surfactant replacement has greatly improved the short and long term prognosis of RDS but its administration criteria remain uncertain. Lung ultrasound has been recently shown as a non-invasive, repeatable, bedside tool to estimate parenchymal aeration using a semiquantitative score (LUS). The objective of this systematic review and meta-analysis is to evaluate the accuracy of LUS, assessed on the first day of life, to predict surfactant replacement. Methods will follow the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidelines and the protocol has been registered in PROSPERO database (registration number: CRD42021247888). Primary outcome: in a population of preterm infants, LUS will be compared in neonates who received surfactant replacement versus those who did not. Secondary outcome will be the accuracy of lung ultrasound score to predict the need for ≥ 2 doses of surfactant.
format article
author Letizia Capasso
Daniela Pacella
Fiorella Migliaro
Daniele De Luca
Francesco Raimondi
author_facet Letizia Capasso
Daniela Pacella
Fiorella Migliaro
Daniele De Luca
Francesco Raimondi
author_sort Letizia Capasso
title Can lung ultrasound score accurately predict the need for surfactant  replacement in preterm neonates? A systematic review and meta-analysis protocol.
title_short Can lung ultrasound score accurately predict the need for surfactant  replacement in preterm neonates? A systematic review and meta-analysis protocol.
title_full Can lung ultrasound score accurately predict the need for surfactant  replacement in preterm neonates? A systematic review and meta-analysis protocol.
title_fullStr Can lung ultrasound score accurately predict the need for surfactant  replacement in preterm neonates? A systematic review and meta-analysis protocol.
title_full_unstemmed Can lung ultrasound score accurately predict the need for surfactant  replacement in preterm neonates? A systematic review and meta-analysis protocol.
title_sort can lung ultrasound score accurately predict the need for surfactant  replacement in preterm neonates? a systematic review and meta-analysis protocol.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/2d9d6bb3cf614cd0bdfa8ca0beaff4e2
work_keys_str_mv AT letiziacapasso canlungultrasoundscoreaccuratelypredicttheneedforsurfactantreplacementinpretermneonatesasystematicreviewandmetaanalysisprotocol
AT danielapacella canlungultrasoundscoreaccuratelypredicttheneedforsurfactantreplacementinpretermneonatesasystematicreviewandmetaanalysisprotocol
AT fiorellamigliaro canlungultrasoundscoreaccuratelypredicttheneedforsurfactantreplacementinpretermneonatesasystematicreviewandmetaanalysisprotocol
AT danieledeluca canlungultrasoundscoreaccuratelypredicttheneedforsurfactantreplacementinpretermneonatesasystematicreviewandmetaanalysisprotocol
AT francescoraimondi canlungultrasoundscoreaccuratelypredicttheneedforsurfactantreplacementinpretermneonatesasystematicreviewandmetaanalysisprotocol
_version_ 1718375112962473984