Is faster better? A randomised crossover study comparing algorithms for closed-loop automatic oxygen control

Author:

Schwarz Christoph E,Kidszun André,Bieder Nicole S,Franz Axel R,König JochemORCID,Mildenberger Eva,Poets Christian F,Seyfang Andreas,Urschitz Michael S

Abstract

ObjectiveClosed-loop automatic control (CLAC) of the fractional inspired oxygen (FiO2) improved oxygen administration to preterm infants on respiratory support. We investigated whether a revised CLAC algorithm (CLACfast, ≤2 FiO2 adjustments/min), compared with routine manual control (RMConly), increased the proportion of time with arterial haemoglobin oxygen saturation measured by pulse oximetry within prespecified target ranges (Target%) while not being inferior to the original algorithm (CLACslow: ≤0.3 FiO2 adjustments/min).DesignUnblinded randomised controlled crossover study comparing three modes of FiO2 control in random order for 8 hours each: RMC supported by CLACfast was compared with RMConly and RMC supported by CLACslow. A computer-generated list of random numbers using a block size of six was used for the allocation sequence.SettingTwo German tertiary university neonatal intensive care units.PatientsOf 23 randomised patients, 19 were analysed (mean±SD gestational age 27±2 weeks; age at randomisation 24±10 days) on non-invasive (n=18) or invasive (n=1) respiratory support at FiO2 >0.21.Main outcome measureTarget%.ResultsMean±SD [95% CI] Target% was 68%±11% [65% to 71%] for CLACfast versus 65%±11% [61% to 68%] for CLACslow versus 58%±11% [55% to 62%] for RMConly. Prespecified hypothesis tests of: (A) superiority of CLACfast versus RMConly and (B) non-inferiority of CLACfast versus CLACslow with margin of 5% yielded one-sided p values of <0.001 for both comparisons.ConclusionsThis revised and faster CLAC algorithm was still superior to routine care in infants on respiratory support and not inferior to a previously tested slower algorithm.Trial registration numberNCT03163108.

Funder

Löwenstein Medical

Publisher

BMJ

Subject

Obstetrics and Gynaecology,General Medicine,Pediatrics, Perinatology, and Child Health

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3