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

ICU Mortality Clinical Trial

— ECOG  

Official title:

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

Clinical Trial Details — Status: Withdrawn

Administrative data

• NCT number: NCT02386254
• Other study ID #: ECOG 9058
• Status: Withdrawn
• Start date: November 26, 2018
• Est. completion date: November 18, 2019

Study information

• Verified date: March 2024
• Source: University of Oklahoma
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

To evaluate whether a premorbid functioning scoring system such as the ECOG system can be adapted to predict ICU morbidity and mortality.

Recruitment information / eligibility

• Status: Withdrawn
• Enrollment: 0
• Est. completion date: November 18, 2019
• Est. primary completion date: November 18, 2019
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

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

Exclusion Criteria:

-

Related Conditions & MeSH terms

• ICU Morbidity
• ICU Mortality

Locations

Country	Name	City	State
United States	OU Medical Center	Oklahoma City	Oklahoma

Sponsors (1)

Lead Sponsor	Collaborator
University of Oklahoma

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Mortality	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