{
  "abstract": "Objective To compare the duration of mechanical ventilation between preterm infants receiving closed-loop automated oxygen control (CLAC) or manual oxygen control.Design Randomised controlled trial.Setting Tertiary neonatal unit in London, UK.Patients Infants (n=69) with a median (IQR) gestational age of 27.0 (25.6–29.0) weeks studied at a corrected postmenstrual age of 27.6 (25.9–29.1) weeks.Interventions Infants were randomised to CLAC or manual oxygen control within 48 hours of initiation of mechanical ventilation if less than 7 days of age until successful extubation.Main outcome measures Duration of mechanical ventilation.Results The CLAC infants (n=34) compared with those who received manual control had a shorter duration of mechanical ventilation (median (range): 11 (1–57) vs 40 (3–134) days, p=0.027), a shorter duration of supplemental oxygen (median (range): 33 (0–100) vs 47 (3–335) days, p=0.031), a lower incidence of bronchopulmonary dysplasia (BPD) at 36 weeks postmenstrual age (55% vs 83.9%, p=0.015) and fewer required home oxygen (26.5% vs 51.4%, p=0.016). In the CLAC infants, the time spent in the target oxygen range (91%–95%) was increased (p<0.001) and the times spent in hypoxaemia (peripheral oxygen saturation level (SpO 2)<85%) and hyperoxaemia (SpO2>95%) were reduced (p<0.001).Conclusions Use of CLAC in preterm, ventilated infants was associated with improved achievement of oxygen saturation targets, shorter durations of mechanical ventilation and supplemental oxygen treatment and a lower incidence of BPD. These results need to be replicated in larger multicentre studies before any change in routine practice could be recommended.Trial registration number NCT05030337.",
  "authors": [
    {
      "affiliations": [
        "Department of Women and Children’s Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, England, UK",
        "Neonatal Intensive Care Centre, King’s College Hospital NHS Foundation Trust, London, England, UK"
      ],
      "name": "Ourania Kaltsogianni"
    },
    {
      "affiliations": [
        "Department of Women and Children’s Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, England, UK",
        "Neonatal Intensive Care Centre, King’s College Hospital NHS Foundation Trust, London, England, UK"
      ],
      "name": "Theodore Dassios"
    },
    {
      "affiliations": [
        "Department of Women and Children’s Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, England, UK",
        "Neonatal Intensive Care Centre, King’s College Hospital NHS Foundation Trust, London, England, UK"
      ],
      "name": "Allan Jenkinson"
    },
    {
      "affiliations": [
        "Department of Women and Children’s Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, England, UK",
        "Neonatal Intensive Care Centre, King’s College Hospital NHS Foundation Trust, London, England, UK"
      ],
      "name": "Eleanor Jeffreys"
    },
    {
      "affiliations": [
        "Department of Neonatology, Tokyo Women’s Medical University Adachi Medical Center, Adachi City, Tokyo, Japan"
      ],
      "name": "Kenta Ikeda"
    },
    {
      "affiliations": [
        "Neonatology, Shikoku Medical Center for Children and Adults, Zentsuji, Kagawa Prefecture, Japan"
      ],
      "name": "Masashiro Sugino"
    },
    {
      "affiliations": [
        "Department of Women and Children’s Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, England, UK",
        "Neonatal Intensive Care Centre, King’s College Hospital NHS Foundation Trust, London, England, UK"
      ],
      "name": "Anne Greenough"
    }
  ],
  "title": "Closed-loop automated oxygen control in preterm ventilated infants: a randomised controlled trial",
  "uid": "a6d047fe-9ef3-53a2-a792-df860686188c"
}