Predicting Favorable Outcomes in Hospitalized Covid-19 Patients
1 other identifier
observational
1,415
1 country
1
Brief Summary
Testing use of predictive analytics to predict which COVID-19+ patients are at low risk for an adverse event (ICU transfer, intubation, mortality, hospice discharge, re-presentation to the ED, oxygen requirements exceeding nasal cannula at 6L/Min) in the next 96 hours
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started May 2020
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 15, 2020
CompletedFirst Submitted
Initial submission to the registry
September 25, 2020
CompletedFirst Posted
Study publicly available on registry
September 30, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 7, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 7, 2021
CompletedDecember 27, 2022
December 1, 2022
1.6 years
September 25, 2020
December 22, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
Reduction in days from first low-risk score to discharge
Reduction in days from first low-risk score to discharge
96 Hours
Secondary Outcomes (3)
Reduction in length of stay (LOS)
96 hours
Reduction in GTD vs. LOS
96 hours
No change in 30 day re-ED presentation or hospital admission rate for cohort
96 hours
Other Outcomes (4)
Re-presentation to ED
96 hours
Readmission to hospital
96 hours
Mortality
96 hours
- +1 more other outcomes
Study Arms (2)
Quality improvement - Display
Display of risk score/ colored flag in Epic patient list column; will be viewable to all frontline workers
No Display
No display ("hidden") of risk score/ colored flag in Epic patient list column; not viewable to all frontline workers
Interventions
Display of risk score/ colored flag in Epic patient list column
Eligibility Criteria
Adult hospitalized COVID19+ patients predicted to have no adverse event at 96 events with a threshold at 90% PPV, with at least one low risk during their admission who are discharged alive and have not been in the ICU
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
NYU Langone Health
New York, New York, 10016, United States
Related Publications (1)
Major VJ, Jones SA, Razavian N, Bagheri A, Mendoza F, Stadelman J, Horwitz LI, Austrian J, Aphinyanaphongs Y. Evaluating the Effect of a COVID-19 Predictive Model to Facilitate Discharge: A Randomized Controlled Trial. Appl Clin Inform. 2022 May;13(3):632-640. doi: 10.1055/s-0042-1750416. Epub 2022 Jul 27.
PMID: 35896506DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jonathan Austrian, MD
NYU Langone Health
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 25, 2020
First Posted
September 30, 2020
Study Start
May 15, 2020
Primary Completion
December 7, 2021
Study Completion
December 7, 2021
Last Updated
December 27, 2022
Record last verified: 2022-12