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An Algorithm Driven Sepsis Prediction Biomarker

2017-01-11 03:38:21 | BioPortfolio

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).

Study Design

Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Factorial Assignment, Masking: Open Label, Primary Purpose: Screening

Conditions

Sepsis

Intervention

Severe Sepsis Prediction, Severe Sepsis Detection

Location

UCSF Moffit-Long Hospital
San Francisco
California
United States
94143

Status

Recruiting

Source

Dascena

Results (where available)

View Results

Links

Published on BioPortfolio: 2017-01-11T03:38:21-0500

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Medical and Biotech [MESH] Definitions

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