Evaluation of a Sepsis Prediction Algorithm Across Various Definitions of Sepsis - Takeaways - MDSpire

Evaluation of a Sepsis Prediction Algorithm Across Various Definitions of Sepsis

  • By

  • Sayon Dutta

  • Reid McMurry

  • Michael C. Tasi

  • Lisette Dunham

  • Dustin S. McEvoy

  • Timothy Stump

  • Michael Filbin

  • Chanu Rhee

  • April 7, 2026

  • 0 min

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  • 1

    Sepsis is a major global health issue, causing 1.7 million hospitalizations annually in the US and costing Medicare over $40 billion.

  • 2

    Early treatment of sepsis is critical, with each hour of delay increasing mortality risk by 4%.

  • 3

    The Early Detection of Sepsis Model has been widely implemented but has shown poor performance in independent evaluations.

  • 4

    Version 2 of the sepsis model was developed using Sepsis-3 definitions and evaluated against multiple sepsis definitions for better performance characterization.

  • 5

    The study utilized a large dataset from the Mass General Brigham health system to assess the model's predictive accuracy across different sepsis definitions.

Original Source(s)

Evaluation of a Sepsis Prediction Algorithm Across Various Definitions of Sepsis

  • by Sayon Dutta, Reid McMurry, Michael C. Tasi, Lisette Dunham, Dustin S. McEvoy, Timothy Stump, Michael Filbin, Chanu Rhee

  • April 7, 2026

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