Chrome Extension
WeChat Mini Program
Use on ChatGLM

Performance and safety of the PRICO closed-loop oxygen saturation targeting system in neonates: pragmatic multicentre cross-over study (TarOx Study).

Maria Wilinska,Thomas Bachman,Tomasz Szczapa,Katarzyna Wroblewska-Seniuk,Karolina Chojnacka,Beata Loniewska, Karolina Olszanska, Beata Rzepecka Weglarz, Katarzyna Janusz, Pawel Piwowarczyk,Wes Onland,G Jeroen Hutten,Ruud W van Leuteren, Anton H van Kaam

BMJ paediatrics open(2024)

Cited 0|Views2
No score
Abstract
OBJECTIVE:This study aims to evaluate the performance of the fabian-Predictive-Intelligent-Control-of-Oxygenation (PRICO) system for automated control of the fraction of inspired oxygen (FiO2). DESIGN:Multicentre randomised cross-over study. SETTING:Five neonatal intensive care units experienced with automated control of FiO2 and the fabian ventilator. PATIENTS:39 infants: median gestational age of 27 weeks (IQR: 26-30), postnatal age 7 days (IQR: 2-17), weight 1120 g (IQR: 915-1588), FiO2 0.32 (IQR: 0.22-0.43) receiving both non-invasive (27) and invasive (12) respiratory support. INTERVENTION:Randomised sequential 24-hour periods of automated and manual FiO2 control. MAIN OUTCOME MEASURES:Proportion (%) of time in normoxaemia (90%-95% with FiO2>0.21 and 90%-100% when FiO2=0.21) was the primary endpoint. Secondary endpoints were severe hypoxaemia (<80%) and severe hyperoxaemia (>98% with FiO2>0.21) and prevalence of episodes ≥60 s at these two SpO2 extremes. RESULTS:During automated control, subjects spent more time in normoxaemia (74%±22% vs 51%±22%, p<0.001) with less time above and below (<90% (9%±8% vs 12%±11%, p<0.001) and >95% with FiO2>0.21 (16%±19% vs 35%±24%) p<0.001). They spent less time in severe hyperoxaemia (1% (0%-3.5%) vs 5% (1%-10%), p<0.001) but exposure to severe hypoxaemia was low in both arms and not different. The differences in prolonged episodes of SpO2 were consistent with the times at extremes. CONCLUSIONS:This study demonstrates the ability of the PRICO automated oxygen control algorithm to improve the maintenance of SpO2 in normoxaemia and to avoid hyperoxaemia without increasing hypoxaemia.
More
Translated text
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined