Machine Learning Models to Predict Withdrawal of Life-sustaining Therapy in Patients With Severe Traumatic Brain Injury (S21.003)

Michael Cobler-Lichter; Jessica Delamater; Fernanda Jacinto Pereira Teixeira; Ana Reyes; Talia Arcieri; Brian Manolovitz; John McKeown; Tulay Toru-Sengul; Jonathan Jagid; Joacir Graciolli; Nina Massad; Mohan Kottapally; Amedeo Merenda; Kristine O’Phelan; Nicholas Namias; Ayham Alkhachroum

doi:10.1212/wnl.0000000000216578

June 9, 2026Neurology

Machine Learning Models to Predict Withdrawal of Life-sustaining Therapy in Patients With Severe Traumatic Brain Injury (S21.003)

View Full Paper

Ask AI

Bookmark

Share

Key Points

The research aimed to develop a machine learning model for predicting the withdrawal of life-sustaining therapy in severe traumatic brain injury cases.
Created a machine learning model to assess withdrawal decisions.
Analyzed WLST rates as potential influential factors.
Evaluated model effectiveness across various healthcare facilities.
Identified facility WLST rates as a significant predictor of withdrawal decisions.
Achieved high accuracy in model predictions for facilitating timely clinical decisions.

Implication

Demonstrates predicting life-sustaining therapy withdrawal in patients with severe brain injury, indicating facility rates may influence decisions.

Abstract

We aimed to create a machine learning (ML) model that could accurately predict the decision to withdrawal life-sustaining therapy (WLST) and hypothesized that facility WLST rate would emerge as a highly impactful WLST determinant.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Cobler-Lichter et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf393faef96ed7f056010 https://doi.org/10.1212/wnl.0000000000216578

View Full Paper

Ask AI

Bookmark

Share

Machine Learning Models to Predict Withdrawal of Life-sustaining Therapy in Patients With Severe Traumatic Brain Injury (S21.003)

Key Points

Implication

Abstract

Discussion

Cite This Study

Machine Learning Models to Predict Withdrawal of Life-sustaining Therapy in Patients With Severe Traumatic Brain Injury (S21.003)

Key Points

Implication

Abstract

Discussion

Cite This Study

Keep reading

Keep reading