Algorithm Recognizes Sepsis

Grant number: unknown

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Key facts

  • Disease

    COVID-19
  • Principal Investigator

    Dr med. Mate Knabe
  • Research Location

    Germany
  • Lead Research Institution

    University Hospital Frankfurt
  • Research Priority Alignment

    N/A
  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Supportive care, processes of care and management

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Unspecified

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Blood poisoning is one of the extremely quick complications of a COVID 19 infection - even when patients are under intensive care. Doctors at the Medical Clinic I of the University Hospital developed a system for real-time monitoring of COVID-19 patients using sensors that are stuck to the skin. With the help of breathing patterns, heart resistance and other measured variables, doctors can recognize impending sepsis in good time. With the help of a smartphone, the data is anonymized, encrypted and securely transmitted to a CE-certified internet platform. The evaluation is carried out using artificial intelligence, which is supposed to generate an algorithm in order to filter out endangered patients at an early stage. The procedure can also help with other infectious diseases or after chemotherapy, to monitor the patient on an outpatient basis - immediate action is important in the event of sepsis. Any delay is an extreme risk. A feasibility study for 50 patients has been launched for this pilot project. "What is special about the project is that the values ​​can be recorded completely flexibly and anywhere: with high-risk patients at home, in the normal ward or in rehab. As long as the patient uses the cell phone at a distance of ten meters, the important vital signs are transmitted. "