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RDS-NExT workshop: consensus statements for the use of surfactant in preterm neonates with RDS

OBJECTIVE: To provide the best clinical practice guidance for surfactant use in preterm neonates with respiratory distress syndrome (RDS). The RDS-Neonatal Expert Taskforce (RDS-NExT) initiative was intended to add to existing evidence and clinical guidelines, where evidence is lacking, with input f...

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Detalles Bibliográficos
Autores principales: Bhandari, Vineet, Black, Rachel, Gandhi, Bheru, Hogue, Susan, Kakkilaya, Venkatakrishna, Mikhael, Michel, Moya, Fernando, Pezzano, Chad, Read, Pam, Roberts, Kari D., Ryan, Rita M., Stanford, Richard H., Wright, Clyde J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400415/
https://www.ncbi.nlm.nih.gov/pubmed/37188774
http://dx.doi.org/10.1038/s41372-023-01690-9
Descripción
Sumario:OBJECTIVE: To provide the best clinical practice guidance for surfactant use in preterm neonates with respiratory distress syndrome (RDS). The RDS-Neonatal Expert Taskforce (RDS-NExT) initiative was intended to add to existing evidence and clinical guidelines, where evidence is lacking, with input from an expert panel. STUDY DESIGN: An expert panel of healthcare providers specializing in neonatal intensive care was convened and administered a survey questionnaire, followed by 3 virtual workshops. A modified Delphi method was used to obtain consensus around topics in surfactant use in neonatal RDS. RESULT: Statements focused on establishing RDS diagnosis and indicators for surfactant administration, surfactant administration methods and techniques, and other considerations. After discussion and voting, consensus was achieved on 20 statements. CONCLUSION: These consensus statements provide practical guidance for surfactant administration in preterm neonates with RDS, with a goal to contribute to improving the care of neonates and providing a stimulus for further investigation to bridge existing knowledge gaps.