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      SepsIT® – the development of diagnostic systems for sepsis

      Research Group Infection Biology
      Resarch Environment Systems Biology

      SepsIT® – the development of diagnostic systems for sepsis

      Research Group Infection Biology
      Resarch Environment Systems Biology

      Quick Facts

      Full project name

      Development of diagnostic system for sepsis

      Duration

      October 2016 – September 2019

      Partners

      Skaraborg hospital – Infections clinic, Unilabs AB, TATAA Biocenter AB, QIAGEN AB and bioMérieux Sverige AB.

      Financing

      Knowledge foundation and our partners.

      This project is one of several ongoing projects within the research programme “Future diagnostics for sepsis”. The aim is to develop diagnostics that can be used earlier in cases of sepsis in order to increase the patient’s chances of survival with fewer complications.

      Early diagnosis – greater chance of survival

      The biomarkers used today in sepsis diagnostics cannot reliably identify patients with sepsis and there is a huge need for new diagnostic methods. We want to develop multi-marker panels based on microRNAs combined with routine clinical biomarkers or proteins combined with routine clinical biomarkers.

      Sepsis consultancy – SepsIT®

      We want to give the clinician in the emergency room an earlier answer if a patient has a serious bacterial infection that could lead to sepsis. We want to do this by offering digital diagnostics. This diagnostic system will consist of a model that gets input from (i) the usual measurements always done in the emergency department such as blood pressure, body temperature, etc., but also information from (ii) the biomarkers in the patient’s blood that we are researching – proteins and microRNA. The output will be an answer for the clinician – Yes, Maybe, No in colour coding from red to green representing the probability that the cause of the illness is a bacterial infection. This project aims to study how to visualise the output reliably by designing a transparent clinical decision support system.

      Project Leaders

      Senior Lecturer in Bioscience

      Head of Division/Senior Lecturer in Systems Biology

      Partners and financing

      Knowledge Foundation
      bioMérieux Sweden AB
      QIAGEN
      Unilabs
      TATAA Biocenter AB
      Skaraborg Hospital - Infection Clinic