Ventilator parameters and CO2 elimination 1.0

• Research type

  Research Study

• Full title

  INVESTIGATING THE RELATIONSHIP BETWEEN VENTILATOR SETTINGS AND CARBON DIOXIDE REMOVAL IN CRITICALLY ILL INFANTS

• IRAS ID

  254187

• Contact name

  Gusztav Belteki

• Contact email

  gusztav.belteki@addenbrookes.nhs.uk

• Sponsor organisation

  Cambridge University Hospitals NHS Trust

• Duration of Study in the UK

  4 years, 11 months, 31 days

• Research summary

  We would like to investigate whether blood gas carbon dioxide (pCO2) levels can be predicted in mechanically ventilated newborn infants from ventilator and clinical parameters better than it can be done from the currently used indicators (minute ventilation for conventional ventilation and diffusion coefficient of CO2 for high frequency ventilation). We would like to collect ventilator and patient monitor data at a high sampling rate and over long periods from a large number of ventilated infants of different gestational ages, weights and clinical problems. Using computational processing and machine learning we would like to train, develop and test novel statistical models to predict pCO2 from these data. Such models could help clinicians setting ventilator parameters or responding to blood gases and could potentially help with automation of mechanical ventilation as a distant aim.

• REC name

  London - Bromley Research Ethics Committee

• REC reference

  18/LO/2182

• Date of REC Opinion

  31 Dec 2018

• REC opinion

  Favourable Opinion