Effect of a Sepsis Prediction Algorithm on Clinical Outcomes

Status Completed

Clinical Trial Summary

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.

Clinical Trial Description

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. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT03960203
Study type	Interventional
Source	Dascena
Contact
Status	Completed
Phase	N/A
Start date	January 2017
Completion date	June 2018

View Details

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