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早产儿经无创性呼吸支持时的氧滴定自动控制。

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

机构信息

Menzies Institute for Medical Research, University of Tasmania College of Health and Medicine, Hobart, Tasmania, Australia

Department of Paediatrics, Royal Hobart Hospital, Hobart, Tasmania, Australia.

出版信息

Arch Dis Child Fetal Neonatal Ed. 2022 Jan;107(1):39-44. doi: 10.1136/archdischild-2020-321538. Epub 2021 May 7.

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 SpO signal derived from a standard oximetry probe, and the computed inspired oxygen concentration (FiO) adjustments actuated by a motorised blender. The desired SpO range was 90%-94%, with bedside clinicians able to make corrective manual FiO adjustments at all times.

MAIN OUTCOME MEASURES

Target range (TR) time (SpO 90%-94% or 90%-100% if in air), periods of SpO deviation, number of manual FiO 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 FiO 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 SpO targeting in preterm infants on non-invasive respiratory support.

TRIAL REGISTRATION NUMBER

ACTRN12616000300471.

摘要

目的

评估一种快速响应自适应算法(VDL1.1)在有呼吸功能不全的早产儿中自动控制氧合的性能。

设计

比较自动氧合控制 24 小时与手动控制两个相邻时期(各 12 小时)的汇总数据的干预性交叉研究。

地点

新生儿重症监护病房。

参与者

接受无创呼吸支持和补充氧气的早产儿;中位胎龄 27 周(26-28),出生后年龄 17(12-23)天。

干预

使用 VDL1.1 算法进行自动氧滴定,传入 SpO 信号来自标准血氧仪探头,计算出的吸入氧浓度(FiO)调整由电动搅拌器驱动。目标 SpO 范围为 90%-94%,床边临床医生可以随时进行纠正性手动 FiO 调整。

主要观察指标

目标范围(TR)时间(SpO 90%-94%或在空气中为 90%-100%)、SpO 偏差期、手动 FiO 调整次数和氧需求在自动和手动控制期之间进行比较。

结果

在 35 名婴儿的 60 项交叉研究中,自动氧滴定导致 TR 时间延长(手动 58(51-64)%与自动 81(72-85)%,p<0.001),氧合度两端时间减少,明显减少长时间低氧血症和高氧血症发作。该算法在每个婴儿中均有效运行。在自动控制期间,手动 FiO 调整频率较低(0.11 次/小时),且氧需求相似(手动 28(25-32)%和自动 26(24-32)%,p=0.13)。

结论

VDL1.1 算法在接受无创呼吸支持的早产儿中对 SpO 目标控制是安全有效的。

临床试验注册号

ACTRN12616000300471。

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