Machine Learning Models to Predict Withdrawal of Life-Sustaining Therapy in Patients With Severe Traumatic Brain Injury.
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DOI: 10.1212/wnl.0000000000214249
Abstract: BACKGROUND AND OBJECTIVES Over half of all deaths after traumatic brain injury (TBI) follow the decision to withdraw life-sustaining therapy (WLST). Despite recent improvements in TBI mortality, rates of WLST have remained unchanged, potentially reflecting… read more here.
Keywords: traumatic brain; sustaining therapy; brain injury; life sustaining ... See more keywords
Unilateral Withdrawal of Life-sustaining Therapy in a Severely Impaired Child
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DOI: 10.1542/peds.2018-0131
Abstract: Doctors must decide how to respond to parents’ requests to “do everything” for a neurologically devastated child. An infant with complex congenital heart disease suffers a prolonged cardiac arrest with minutes of anoxia. He is… read more here.
Keywords: unilateral withdrawal; withdrawal life; therapy; sustaining therapy ... See more keywords