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Automated control of oxygen titration in preterm infants on non-invasive respiratory support

Citation

Dargaville, PA and Marshall, AP and Ladlow, OJ and Bannink, C and Jayakar, R and Eastwood-Sutherland, C and Lim, K and Ali, SKM and Gale, TJ, Automated control of oxygen titration in preterm infants on non-invasive respiratory support, Archives of Disease in Childhood pp. F1-F6. ISSN 1359-2998 (2021) [Refereed Article]

Copyright Statement

Author(s) (or their employer(s)) 2021

DOI: doi:10.1136/archdischild-2020-321538

Abstract

Objective: To evaluate the performance of a rapidly responsive adaptive algorithm (VDL1.1) for automated oxygen control in preterm infants with respiratory insufficiency.

Design: Interventional cross-over study of a 24-hour period of automated oxygen control compared with aggregated data from two flanking periods of manual control (12 hours each).

Setting: Neonatal intensive care unit.

Participants: Preterm infants receiving non-invasive respiratory support and supplemental oxygen; median birth gestation 27 weeks (IQR 26-28) and postnatal age 17 (12-23) days.

Intervention: Automated oxygen titration with the VDL1.1 algorithm, with the incoming SpO2 signal derived from a standard oximetry probe, and the computed inspired oxygen concentration (FiO2) adjustments actuated by a motorised blender. The desired SpO2 range was 90%-94%, with bedside clinicians able to make corrective manual FiO2 adjustments at all times.

Main outcome measures: Target range (TR) time (SpO2 90%-94% or 90%-100% if in air), periods of SpO2 deviation, number of manual FiO2 adjustments and oxygen requirement were compared between automated and manual control periods.

Results: In 60 cross-over studies in 35 infants, automated oxygen titration resulted in greater TR time (manual 58 (51-64)% vs automated 81 (72-85)%, p<0.001), less time at both extremes of oxygenation and considerably fewer prolonged hypoxaemic and hyperoxaemic episodes. The algorithm functioned effectively in every infant. Manual FiO2 adjustments were infrequent during automated control (0.11 adjustments/hour), and oxygen requirements were similar (manual 28 (25-32)% and automated 26 (24-32)%, p=0.13).

Conclusion: The VDL1.1 algorithm was safe and effective in SpO2 targeting in preterm infants on non-invasive respiratory support. Trial registration number: ACTRN12616000300471.

Item Details

Item Type:Refereed Article
Keywords:neonatology, physiology, technology
Research Division:Biomedical and Clinical Sciences
Research Group:Paediatrics
Research Field:Neonatology
Objective Division:Health
Objective Group:Clinical health
Objective Field:Treatment of human diseases and conditions
UTAS Author:Dargaville, PA (Professor Peter Dargaville)
UTAS Author:Marshall, AP (Mr Andrew Marshall)
UTAS Author:Ladlow, OJ (Mr Oliver Ladlow)
UTAS Author:Bannink, C (Ms Charlotte Bannink)
UTAS Author:Jayakar, R (Mr Rohan Jayakar)
UTAS Author:Eastwood-Sutherland, C (Mr Caillin Eastwood-Sutherland)
UTAS Author:Lim, K (Ms Kathleen Lim)
UTAS Author:Gale, TJ (Dr Timothy Gale)
ID Code:146917
Year Published:2021
Deposited By:Menzies Institute for Medical Research
Deposited On:2021-10-04
Last Modified:2021-11-04
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