Premature newborns treated in hospitals are very sensitive to the risks of infection. Many hospitals are creating an algorithm from their surveillance system to more easily detect risk factors in these toddlers. On the initiative of the University Hospital of Rennes, the data of 400 babies premature at least three days of life (including about thirty with an infection) were aggregated. Heart rate, breathing rate, weight, height, etc. On a screen, all these parameters are analyzed and an index appears. Beyond a certain value, the risk of infection is evaluated and the doctor can take it into account to intervene as soon as possible.
The medical team can thus obtain evidence of the risk of infection between 6 hours and 48 hours before the outbreak of the infection itself. The database used includes patient data from six university hospitals in the greater west: Rennes, Angers, Brest, Nantes, Tours, and Poitiers. The project is European. 10 to 20% of premature babies contract an infection in the hospital It is to reduce this risk and to detect noninvasively that this new technique is implemented. Because a very premature baby who gets an infection in the hospital has a high risk of dying.
It is often too late when we detect an infection. Every hour we can earn is a benefit to the patient. says Patrick Pladys, head of the woman-child division and the pediatric department of the University Hospital of Rennes. In addition, the goal is also to reduce the risk of sequelae in children. An international project The proof of concept is reached.
The team is now expecting to reach the number of 700 babies studied in more hospitals to have a more robust infection risk index. The international clinical trial will validate this risk index, called Digi-NewB.
