Oscillatory mechanics at birth for identifying infants requiring surfactant: a prospective, observational trial.


Journal

Respiratory research
ISSN: 1465-993X
Titre abrégé: Respir Res
Pays: England
ID NLM: 101090633

Informations de publication

Date de publication:
20 Dec 2021
Historique:
received: 02 09 2021
accepted: 25 11 2021
entrez: 21 12 2021
pubmed: 22 12 2021
medline: 19 3 2022
Statut: epublish

Résumé

Current criteria for surfactant administration assume that hypoxia is a direct marker of lung-volume de-recruitment. We first introduced an early, non-invasive assessment of lung mechanics by the Forced Oscillation Technique (FOT) and evaluated its role in predicting the need for surfactant therapy. To evaluate whether lung reactance (Xrs) assessment by FOT within 2 h of birth identifies infants who would need surfactant within 24 h; to eventually determine Xrs performance and a cut-off value for early detection of infants requiring surfactant. We conducted a prospective, observational, non-randomized study in our tertiary NICU in Milan. Eligible infants were born between 27 endotracheal intubation at birth, major malformations participation in other interventional trials, parental consent denied. We assessed Xrs during nasal CPAP at 5 cmH We enrolled 61 infants, with a median [IQR] gestational age of 31.9 [30.3; 32.9] weeks and birth weight 1490 [1230; 1816] g; 2 infants were excluded from the analysis for set-up malfunctioning. 14/59 infants received surfactant within 24 h. Xrs predicted surfactant need with a cut-off - 33.4 cmH Xrs assessed within 2 h of life predicts surfactant need and respiratory support duration in preterm infants. The possible role of Xrs in improving the individualization of respiratory management in preterm infants deserves further investigation.

Sections du résumé

BACKGROUND BACKGROUND
Current criteria for surfactant administration assume that hypoxia is a direct marker of lung-volume de-recruitment. We first introduced an early, non-invasive assessment of lung mechanics by the Forced Oscillation Technique (FOT) and evaluated its role in predicting the need for surfactant therapy.
OBJECTIVES OBJECTIVE
To evaluate whether lung reactance (Xrs) assessment by FOT within 2 h of birth identifies infants who would need surfactant within 24 h; to eventually determine Xrs performance and a cut-off value for early detection of infants requiring surfactant.
METHODS METHODS
We conducted a prospective, observational, non-randomized study in our tertiary NICU in Milan. Eligible infants were born between 27
EXCLUSION CRITERIA METHODS
endotracheal intubation at birth, major malformations participation in other interventional trials, parental consent denied. We assessed Xrs during nasal CPAP at 5 cmH
RESULTS RESULTS
We enrolled 61 infants, with a median [IQR] gestational age of 31.9 [30.3; 32.9] weeks and birth weight 1490 [1230; 1816] g; 2 infants were excluded from the analysis for set-up malfunctioning. 14/59 infants received surfactant within 24 h. Xrs predicted surfactant need with a cut-off - 33.4 cmH
CONCLUSION CONCLUSIONS
Xrs assessed within 2 h of life predicts surfactant need and respiratory support duration in preterm infants. The possible role of Xrs in improving the individualization of respiratory management in preterm infants deserves further investigation.

Identifiants

pubmed: 34930247
doi: 10.1186/s12931-021-01906-6
pii: 10.1186/s12931-021-01906-6
pmc: PMC8686669
doi:

Substances chimiques

Pulmonary Surfactants 0

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

314

Informations de copyright

© 2021. The Author(s).

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Auteurs

Anna Lavizzari (A)

NICU, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Neonatal Intensive Care Unit, Via Commenda 12, 20135, Milan, Italy. anna.lavizzari@gmail.com.

Chiara Veneroni (C)

Dipartimento di Elettronica, Informazione e Bioingegneria-DEIB Laboratorio di Tecnologie Biomediche-TechRes Lab, Politecnico di Milano University, Milan, Italy.

Francesco Beretta (F)

NICU, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Neonatal Intensive Care Unit, Via Commenda 12, 20135, Milan, Italy.

Valeria Ottaviani (V)

Dipartimento di Elettronica, Informazione e Bioingegneria-DEIB Laboratorio di Tecnologie Biomediche-TechRes Lab, Politecnico di Milano University, Milan, Italy.

Claudia Fumagalli (C)

NICU, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Neonatal Intensive Care Unit, Via Commenda 12, 20135, Milan, Italy.

Marta Tossici (M)

Dipartimento di Elettronica, Informazione e Bioingegneria-DEIB Laboratorio di Tecnologie Biomediche-TechRes Lab, Politecnico di Milano University, Milan, Italy.

Mariarosa Colnaghi (M)

NICU, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Neonatal Intensive Care Unit, Via Commenda 12, 20135, Milan, Italy.

Fabio Mosca (F)

NICU, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Neonatal Intensive Care Unit, Via Commenda 12, 20135, Milan, Italy.
Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.

Raffaele L Dellacà (RL)

Dipartimento di Elettronica, Informazione e Bioingegneria-DEIB Laboratorio di Tecnologie Biomediche-TechRes Lab, Politecnico di Milano University, Milan, Italy.

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Classifications MeSH