An Algorithm Driven Sepsis Prediction Biomarker

Not Applicable

Completed

• Conditions: Sepsis; Severe Sepsis; Septic Shock

• Registration Number: NCT03015454
• Lead Sponsor: Dascena

Brief Summary

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).

Detailed Description

Not available

Study Timeline

• Study Start: 2016-12
• Study First Submitted: 2016-12-31
• Study First Submitted QC: 2017-01-06
• Study First Posted: 2017-01-10
• Primary Completion: 2017-02
• Status Verified: 2021-09
• Last Update Submitted: 2021-09-17
• Last Update Posted: 2021-09-23

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 142

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.

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: FACTORIAL

Primary Outcome Measures

Name	Time	Method
Hospital length of stay	Through study completion, an average of 45 days

Secondary Outcome Measures

Name	Time	Method
In-hospital mortality	Through study completion, an average of 45 days

Trial Locations

Locations (1)

UCSF Moffit-Long Hospital; 🇺🇸 San Francisco, California, United States