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Prediction of bronchopulmonary dysplasia development
  1. Katie A Hunt1,2,
  2. Theodore Dassios2,3,
  3. Kamal Ali3,
  4. Anne Greenough1,2,4
  1. 1 MRC & Asthma UK Centre in Allergic Mechanisms of Asthma, King’s College London, London, UK
  2. 2 Department of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, UK
  3. 3 Neonatal Intensive Care Centre, King’s College Hospital NHS Foundation Trust, London, UK
  4. 4 NIHR Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College, London, UK
  1. Correspondence to Professor Anne Greenough, Neonatal Intensive Care Unit, King’s College Hospital NHS Foundation Trust, London, SE5 9RS, UK; anne.greenough{at}

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The survival of infants born extremely prematurely is increasing, but the incidence of bronchopulmonary dysplasia (BPD) is not diminishing.1 Strategies employed to reduce the incidence of BPD have largely been unsuccessful or have an unacceptably high rate of adverse effects.2 It is, therefore, essential to identify predictors of BPD development and in particular the development of severe BPD so that preventative interventions can be targeted at high-risk infants. We tested the hypothesis that a requirement for invasive mechanical ventilation at 1 week of age would predict development of BPD and severe BPD.

Infants <32 weeks of gestational age …

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  • Contributors All authors were involved in the production of this letter.

  • Funding KAH was supported by the Charles Wolfson Charitable Trust and Specialised Laboratory Equipment (SLE). The research was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London.

  • Disclaimer The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.

  • Competing interests None declared.

  • Patient consent Not required.

  • Provenance and peer review Not commissioned; internally peer reviewed.

  • Data sharing statement We agree to sharing data on request.