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

University of Oklahoma

Overview

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

Study Type

OBSERVATIONAL

Conditions

ICU Mortality ICU Morbidity

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * All patients aged 18 years and older admitted to the Presbyterian Hospital intensive care units under the medical ICU service. Exclusion Criteria: \-

Locations (1)

OU Medical Center

Oklahoma City, Oklahoma, United States

Outcomes

Primary Outcomes

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.

Time frame: 30-day

Data from ClinicalTrials.gov

This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.