A model to predict progression in brain-injured patients

Area of Science:

• Neurology
• Critical Care Medicine
• Epidemiology

Background:

• Understanding brain death (BD) and acute brain injury (ABI) progression is crucial for public health, organ procurement, and intensive care unit (ICU) protocols.
• Analyzing ABI progression in patients with a Glasgow Coma Score (GCS) of 8 or less is vital for improving patient outcomes and resource allocation.

Purpose of the Study:

• To analyze the acute brain injury (ABI) progression profile in intensive care unit (ICU) patients with a Glasgow Coma Score (GCS) ≤8.
• To develop a predictive model for the probability of death and brain death (BD) in this patient population.

Main Methods:

• Retrospective analysis of prospective data from 1447 brain-injured patients with GCS ≤8 across four ICUs in Uruguay.
• Logistic regression analysis was employed to identify independent predictors of death and BD.
• A hierarchical model with two nested logit regression models was constructed to analyze probabilities of death, BD, and death by cardiorespiratory arrest.

Main Results:

• Decreasing GCS and increasing age correlated with a higher probability of death.
• Conversely, increasing age decreased the risk of BD; however, conditions like swelling, mass effect, or space-occupying lesions increased BD risk.
• Intracranial hypertension modified the effect of age, making it a protective factor against BD.

Conclusions:

• A predictive model for death and BD probability can be developed based on local epidemiology.
• This model allows for the prediction of organ potential donation at national, regional, or hospital levels, enabling customized strategies.