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OpenTrials
Completed

NCT Number: NCT03235193

Predictive algoRithm for EValuation and Intervention in SEpsis

In this prospective study, the ability of a machine learning algorithm to predict sepsis and influence clinical outcomes, will be investigated at Cabell Huntington Hospital (CHH).

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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

Cabell Huntington Hospital

Huntington, West Virginia, 25701, 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 visiting the emergency department, or admitted to the participating intensive care unit (ICU) wards of Cabell Huntington Hospital 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 CHH electronic health record, healthcare provider follows standard practices in assessing possible (severe) sepsis and intervening accordingly.

Primary outcomes

  1. In-hospital mortality

    Time frame: Through study completion, an average of 30 days

Secondary outcomes

  1. Hospital length of stay

    Time frame: Through study completion, an average of 30 days

Other outcomes

  1. Hospital readmission

    Time frame: Through study completion, an average of 30 days

  2. ICU length of stay

    Time frame: Through study completion, an average of 30 days

Sponsors and collaborators

Lead sponsor

Dascena

Industry

Collaborators

  • Cabell Huntington Hospital

Registry information

Official study title

Prediction of Severe Sepsis Using a Machine Learning Algorithm

Acronym: PREVISE

Important dates

Study start
2017
Primary completion
2017
Study completion
2017
First posted
Aug 1, 2017
Registry last updated
Sep 21, 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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