Scientists hunt for blood clues to predict which sick kids will get worse

NCT ID NCT05908162

Summary

This study aimed to develop a prediction tool to identify which children with sepsis are most likely to have severe complications or die. Researchers analyzed blood samples from 185 children to look for patterns in immune cells, proteins, and genetics. The goal was to create an algorithm that helps doctors spot high-risk cases earlier.

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Contacts and locations

Locations

  • City Children's Infectious Clinical Hospital

    Minsk, Belarus

Conditions

Explore the condition pages connected to this study.