Ignite Creation Date:
2025-12-24 @ 7:41 PM
Ignite Modification Date:
2025-12-30 @ 11:58 PM
Study NCT ID:
NCT03960203
Status:
COMPLETED
Last Update Posted:
2019-05-24
First Post:
2019-05-17
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Effect of a Sepsis Prediction Algorithm on Clinical Outcomes
Sponsor:
Dascena
Organization:
Study Overview
Official Title:
Effect of a Sepsis Prediction Algorithm on Patient Mortality, Length of Stay, and Readmission
Status:
COMPLETED
Status Verified Date:
2019-05
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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.
Detailed 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 Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: