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Related Experiment Video

Updated: Jun 4, 2026

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
10:38

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

21.0K

Automated Calculation of Sequential Organ Failure Assessment (SOFA) Score in the Intensive Care Unit: Algorithm

Johan Helleberg1,2, Anna Sundelin3,4, Navid Soltani3,4

  • 1Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital Huddinge, Stockholm, Sweden.

Acta Anaesthesiologica Scandinavica
|February 16, 2026
PubMed
Summary

An automated Sequential Organ Failure Assessment (SOFA) score algorithm was developed and validated, showing accuracy comparable to manual scoring. This tool reliably predicts 30-day mortality in intensive care unit patients.

Related Experiment Videos

Last Updated: Jun 4, 2026

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
10:38

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

21.0K

Area of Science:

  • Critical Care Medicine
  • Health Informatics
  • Biostatistics

Background:

  • The Sequential Organ Failure Assessment (SOFA) score is crucial for assessing organ dysfunction, prognostication, and sepsis diagnosis in intensive care units (ICUs).
  • Manual SOFA scoring faces challenges with inter-rater variability and scalability.
  • Developing an automated SOFA calculation method is essential for improving efficiency and consistency.

Purpose of the Study:

  • To develop and validate an algorithm for automatic SOFA score calculation.
  • To evaluate the predictive accuracy of the automated SOFA score for 30-day mortality.

Main Methods:

  • A retrospective multi-center cohort study involving adult patients across four ICUs from 2015-2018.
  • Algorithm development using 2018 data from one ICU; validation against manual scoring by intensivists on 300 randomly selected ICU days.
  • Intra-class correlation coefficient (ICC) for scoring accuracy and Area Under the Receiver Operating Characteristic Curve (AUROC) for mortality prediction were calculated.

Main Results:

  • The study included 6953 ICU admissions; the algorithm was developed on 613 admissions.
  • Automated SOFA score validation showed high accuracy with an ICC of 0.99 (0.98-1.00).
  • The automated maximum SOFA and Day 2 SOFA scores demonstrated strong 30-day mortality prediction with AUROCs of 0.79 (0.78-0.81 and 0.77-0.80, respectively).

Conclusions:

  • An automated SOFA scoring system can generate trustworthy datasets comparable in accuracy to manual scoring by senior intensivists.
  • The automated SOFA score effectively predicts 30-day mortality in a large, real-world ICU cohort.
  • Automated SOFA scoring is a reliable tool for clinical research, quality monitoring, and potential real-time clinical decision support.