An Algorithm Driven Sepsis Prediction Biomarker

Dascena

Status: Completed

Conditions: Severe Sepsis; Septic Shock; Sepsis

Treatments: Other: Severe Sepsis Detection; Other: Severe Sepsis Prediction

Study type: Interventional

Funder types: Other; Industry

Identifiers

NCT03015454

16-19647

Details and patient eligibility

About

A sepsis early warning predictive algorithm, InSight, has been developed and validated on a large, diverse patient cohort. In this prospective study, the ability of InSight to predict severe sepsis patients is investigated. Specifically, InSight is compared with a well established severe sepsis detector in the UCSF electronic health record (EHR).

Enrollment: 142 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• All adult patients admitted to the participating units will be eligible.

Exclusion criteria

• All patients younger than 18 years of age will be excluded.

Trial design

Primary purpose: Screening

Allocation: Randomized

Interventional model: Factorial Assignment

Masking: None (Open label)

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142 participants in 2 patient groups

With InSight

Experimental group

Description:

Healthcare provider receives an alert from InSight for patients trending towards severe sepsis. Healthcare provider also receives information from the severe sepsis detector in the UCSF electronic health record.

Treatment:

Other: Severe Sepsis Detection

Other: Severe Sepsis Prediction

Without InSight

Active Comparator group

Description:

Healthcare provider does not receive any alerts from InSight. Healthcare provider receives information from the severe sepsis detector in the UCSF electronic health record.

Treatment:

Other: Severe Sepsis Detection