Early Prediction of Sepsis

Early Prediction of Sepsis in Hospitalized Patients Using a Machine Learning Algorithm, a Randomized Clinical Validation Trial.

In this clinical trial a novel Medical Device Software will be validated prospectively. The software incorporates a machine learning algorithm capable of predicting sepsis by using routine clinical variables in adult patients at Intensive Care Units.

Inclusion Criteria:

1. Adult patient (age ≥18 years).
2. Patient is admitted to the ICU during the recruitment period of the trial.

Exclusion Criteria:

1. Patient is participating in another interventional clinical trial which, as judged by the investigator, could potentially impact variables used by the sepsis prediction algorithm or has participated in such interventional clinical trial within the last 30 days.
2. Patient is known to be pregnant.
3. Death is deemed imminent and inevitable, at the investigator's discretion.
4. Patient has, due to chronic reduced mental capacity, been assessed by the investigator as incapable of making an informed decision
5. Patient has previously been enrolled in this trial.