Murray State's Digital Commons - Scholars Week: Identifying the Factors Affecting the Survival of Trauma Patients Using Logistic Regression Analysis
 

Honors College Senior Thesis Presentations

Identifying the Factors Affecting the Survival of Trauma Patients Using Logistic Regression Analysis

Presenter Information

Maggie SmithFollow

Academic Level at Time of Presentation

Senior

Major

Mathematics

Minor

Applied Statistics

List all Project Mentors & Advisor(s)

Manoj Pathak, PhD

Presentation Format

Oral Presentation

Abstract/Description

Numerous predictors affect clinical outcomes for patients with physical trauma. Logistic regression is one of the widely used methods to analyze relationships between a set of predictors with a binary outcome variable. In this study, we built a logistic regression model for a binary outcome variable, Hospital Discharge Status (HDS). Predictors included in this analysis are arrival time, age, trauma level, injury severity score, arrival heart rate, arrival blood pressure, length of hospital stay, time from injury to arrival at the BC, patient transfer or direct admittance, mode of transfer, time from injury to the referral hospital, distance from injury to tertiary facility, the season, and injury severity score as a categorical variable. The goal of this retrospective observational study is to assess the association between the predictors and HDS in order to evaluate the odds of survival corresponding to the predictor.

Fall Scholars Week 2024 Event

Honors College Senior Thesis Presentations

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Identifying the Factors Affecting the Survival of Trauma Patients Using Logistic Regression Analysis

Numerous predictors affect clinical outcomes for patients with physical trauma. Logistic regression is one of the widely used methods to analyze relationships between a set of predictors with a binary outcome variable. In this study, we built a logistic regression model for a binary outcome variable, Hospital Discharge Status (HDS). Predictors included in this analysis are arrival time, age, trauma level, injury severity score, arrival heart rate, arrival blood pressure, length of hospital stay, time from injury to arrival at the BC, patient transfer or direct admittance, mode of transfer, time from injury to the referral hospital, distance from injury to tertiary facility, the season, and injury severity score as a categorical variable. The goal of this retrospective observational study is to assess the association between the predictors and HDS in order to evaluate the odds of survival corresponding to the predictor.