Inpatient Mortality Prediction Algorithm Clinical Trial (IMPACT)

Not Applicable

Withdrawn

• Conditions: Death; Decompensation, Heart; Decompensation; Heart, Congestive
• Interventions: Other: Patient mortality prediction

• Registration Number: NCT03212534
• Lead Sponsor: Dascena

Brief Summary

Through the mapping of retrospective patient data into a discrete multidimensional space, a novel algorithm for homeostatic analysis, was built to make outcome predictions. In this prospective study, the ability of the algorithm to predict patient mortality and influence clinical outcomes, will be investigated.

Detailed Description

Not available

Study Timeline

• Study Start: 2017-07
• Study First Submitted: 2017-07-06
• Study First Submitted QC: 2017-07-06
• Study First Posted: 2017-07-11
• Primary Completion: 2017-10
• Study Completion: 2017-10
• Status Verified: 2021-09
• Last Update Submitted: 2021-09-20
• Last Update Posted: 2021-09-24

Recruitment & Eligibility

• Status: WITHDRAWN
• Sex: All
• Target Recruitment: Not specified

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.

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Arm && Interventions

Group	Intervention	Description
Prediction Algorithm	Patient mortality prediction	-

Primary Outcome Measures

Name	Time	Method
In-hospital mortality	Through study completion, an average of 30 days

Secondary Outcome Measures

Name	Time	Method
Hospital length of stay	Through study completion, an average of 30 days

Trial Locations

Locations (1)

UCSF Moffit-Long Hospital; 🇺🇸 San Francisco, California, United States