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OpenTrials
Completed

NCT Number: NCT03015454

An Algorithm Driven Sepsis Prediction Biomarker

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).

Completed

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Key information

Conditions

Sepsis Infections Inflammation Pathologic Processes Pathological Conditions, Signs and Symptoms Septic Shock Severe Sepsis Shock Shock, Septic Systemic Inflammatory Response Syndrome

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

UCSF Moffit-Long Hospital

San Francisco, California, 94143, United States

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Severe Sepsis Prediction

Other

Upon receiving an InSight alert, healthcare provider follows standard practices in assessing possible (severe) sepsis and intervening accordingly.

Severe Sepsis Detection

Other

Upon receiving information from the severe sepsis detector in the UCSF electronic health record, healthcare provider follows standard practices in assessing possible (severe) sepsis and intervening accordingly.

Primary outcomes

  1. Hospital length of stay

    Time frame: Through study completion, an average of 45 days

Secondary outcomes

  1. In-hospital mortality

    Time frame: Through study completion, an average of 45 days

Other outcomes

  1. ICU length of stay

    Time frame: Through study completion, an average of 45 days

Sponsors and collaborators

Lead sponsor

Dascena

Industry

Collaborators

  • University of California, San Francisco

Registry information

Official study title

A Randomized Controlled Clinical Trial of an Algorithm Driven Sepsis Prediction Biomarker

Important dates

Study start
2016
Primary completion
2017
First posted
Jan 10, 2017
Registry last updated
Sep 23, 2021

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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