Adaptation of a Premorbid Function Scoring System as a Predictor for Intensive Care Unit Mortality (ECOG)

March 7, 2024 updated by: University of Oklahoma
To evaluate whether a premorbid functioning scoring system such as the ECOG system can be adapted to predict ICU morbidity and mortality.

Study Overview

Status

Withdrawn

Conditions

Study Type

Observational

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • United States
    • Oklahoma
      • Oklahoma City, Oklahoma, United States, 73104
        • OU Medical Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients admitted to the critical care units of Presbyterian Hospital under the care of the medical ICU service with any diagnosis will be assessed for enrollment.

Description

Inclusion Criteria:

  • All patients aged 18 years and older admitted to the Presbyterian Hospital intensive care units under the medical ICU service.

Exclusion Criteria:

-

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mortality
Time Frame: 30-day
Data will be expressed as mean + SD. Non parametric data will be expressed as median with interquartiles. Student t-test will be used to compare the normally distributed data, and the Mann-Whitney U test will be used for non parametric data. Chi-Squared test will be used to assess for trend between the ECOG score and the 30-day mortality. The investigators will use logistic regression analysis to determine the factors (including the ECOG score) associated with the 30-day mortality. Significance will be accepted for p values < 0.05.
30-day

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

University of Oklahoma

Investigators

  • Principal Investigator: Kellie Jones, MD, Faculty

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 26, 2018

Primary Completion (Actual)

November 18, 2019

Study Completion (Actual)

November 18, 2019

Study Registration Dates

First Submitted

March 5, 2015

First Submitted That Met QC Criteria

March 10, 2015

First Posted (Estimated)

March 11, 2015

Study Record Updates

Last Update Posted (Actual)

March 12, 2024

Last Update Submitted That Met QC Criteria

March 7, 2024

Last Verified

March 1, 2024

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • ECOG 9058

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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