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Use of Logistic Regression to Determine Parameter Ability for Recovery Prediction in Experimental Rat Hemorrhagic Shock Model

Hemorrhagic shock (HS) severely decreases oxygen (O2) delivery and induces cardiovascular collapse. It is of interest for clinicians to estimate the potential of recovery during the early onset of a shock event as that would determine whether resources should be expended in environments of material shortage such as warzones and low resource communities. Multiple parameters, such as mean arterial pressure (MAP) and heart rate, are traditionally monitored during shock as a means of estimating the potential for recovery. In this study we used a logistic regression model to determine the ability of systemic hemodynamics, cardiac function, and blood gas parameters in determining the ability of successful HS recovery.