Predictive Model of Mortality and Major Morbidity in Neonates

  • Research type

    Research Study

  • Full title

    Predictive Model of Mortality and Major Morbidity in Neonates in the Perinatal Period

  • IRAS ID

    287049

  • Contact name

    Mallinath Chakraborty

  • Contact email

    mallinath.chakraborty@wales.nhs.uk

  • Sponsor organisation

    Cardiff and Vale University Health Board

  • Duration of Study in the UK

    0 years, 11 months, 31 days

  • Research summary

    Worldwide, preterm babies are at increased risk of death or major complications after birth. The earlier in gestation a baby is born, the higher is thier risk of the above complications. Parents and healthcare workers are routinely faced with difficult conversations and decisions when there is the prospect of a premature birth. An ability to provide predictions of outcome would benefit these discussions and identify at-risk infants more accurately.
    Using detailed clinical information around the time of birth from Welsh mothers and babies, we propose to derive mathematical models for the prediction of neonatal mortality and major-morbidity. We intend to use both linear as well as complex machine-learning models and test their validity against external data from Welsh babies and finally from a large cohort of English babies. The model will be presented as an online implementation for visualisation purposes only.

  • REC name

    London - Brent Research Ethics Committee

  • REC reference

    22/PR/0147

  • Date of REC Opinion

    16 Feb 2022

  • REC opinion

    Favourable Opinion