Automated oxygen control in preterm infants, how does it work and what to expect: a narrative review

• Published in: Archives of disease in childhood. Fetal and neonatal edition Vol. 106; no. 2; pp. 215 - 221
• Main Authors: Salverda, Hylke H, Cramer, Sophie J E, Witlox, Ruben S G M, Dargaville, Peter A, te Pas, Arjan B
• Format: Journal Article
• Language: English
• Published: England BMJ Publishing Group LTD 01.03.2021
• Subjects: Algorithms; Automation; Babies; Childrens health; Control algorithms; Control systems; Humans; Hyperoxia; Hypoxia; Infant, Newborn; Infant, Premature; Infants; Lung diseases; Newborn babies; Oximetry; Oxygen; Oxygen Inhalation Therapy - instrumentation; Oxygen Inhalation Therapy - methods; Oxygen saturation; Oxygen therapy; Pediatrics; Premature babies; neonatology; technology; intensive care; respiratory; paediatric practice
• ISSN: 1359-2998; 1468-2052
• DOI: 10.1136/archdischild-2020-318918

BackgroundAutomated oxygen control systems are finding their way into contemporary ventilators for preterm infants, each with its own algorithm, strategy and effect.ObjectiveTo provide guidance to clinicians seeking to comprehend automated oxygen control and possibly introduce this technology in their practice.MethodA narrative review of the commercially available devices using different algorithms incorporating rule-based, proportional-integral-derivative and adaptive concepts are described and explained. An overview of how they work and, if available, the clinical effect is given.ResultsAll algorithms have shown a beneficial effect on the proportion of time that oxygen saturation is within target range, and a decrease in hyperoxia and severe hypoxia. Automated oxygen control may also reduce the workload for bedside staff. There is concern that such devices could mask clinical deterioration, however this has not been reported to date.ConclusionsSo far, trials involving different algorithms are heterogenous in design and no head-to-head comparisons have been made, making it difficult to differentiate which algorithm is most effective and what clinicians can expect from algorithms under certain conditions.