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

Withdrawn
Conditions
ICU Mortality
ICU Morbidity
Registration Number
NCT02386254
Lead Sponsor
University of Oklahoma
Brief Summary

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

Detailed Description

Not available

Recruitment & Eligibility

Status
WITHDRAWN
Sex
All
Target Recruitment
Not specified
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 & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Mortality30-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.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

OU Medical Center

🇺🇸

Oklahoma City, Oklahoma, United States

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