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

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

Status
Withdrawn
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02386254
Acronym
ECOG
Enrollment
0
Registered
2015-03-11
Start date
2018-11-26
Completion date
2019-11-18
Last updated
2024-03-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

ICU Morbidity, ICU Mortality

Keywords

premorbid, scoring system, ECOG, ICU, morbidity, mortality

Brief summary

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

Interventions

None listed

Sponsors

University of Oklahoma
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

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

Exclusion criteria

\-

Design outcomes

Primary

MeasureTime frameDescription
Mortality30-dayData 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.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026