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OpenTrials
Completed

NCT Number: NCT03960203

Effect of a Sepsis Prediction Algorithm on Clinical Outcomes

In this clinical outcomes analysis, the effect of a machine learning algorithm for severe sepsis prediction on in-hospital mortality, hospital length of stay, and 30-day readmission was evaluated.

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Key information

Conditions

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

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

About this study

Materials and Methods: Clinical outcomes evaluation performed on a multiyear, multicenter clinical data set of real-world data containing 75,147 patient encounters from nine hospitals. Mortality, hospital length of stay, and 30-day readmission analysis performed for 17,758 adult patients who met two or more Systemic Inflammatory Response Syndrome (SIRS) criteria at any point during their stay.

Who can participate

Healthy volunteers accepted: Yes

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

Inclusion criteria

  • All patients over the age of 18 presenting to the emergency department or admitted to an inpatient unit at the participating facilities were automatically included for clinical outcomes analysis

Exclusion criteria

  • Patients under the age of 18

Treatment and study plan

InSight

Diagnostic Test

Clinical decision support (CDS) system for severe sepsis detection and prediction

Primary outcomes

  1. In-hospital mortality

    Time frame: 1 year

    Rate of in-hospital mortality based on SIRS criteria

Secondary outcomes

  1. Hospital length of stay

    Time frame: 1 year

    Duration of hospital length of stay in days based on SIRS criteria

  2. 30-day readmissions

    Time frame: 1 year

    Rate of patient readmissions within 30 days

Sponsors and collaborators

Lead sponsor

Dascena

Industry

Registry information

Official study title

Effect of a Sepsis Prediction Algorithm on Patient Mortality, Length of Stay, and Readmission

Important dates

Study start
2017
Primary completion
2018
Study completion
2018
First posted
May 22, 2019
Registry last updated
May 24, 2019

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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