Multimodal assessment improves neuroprognosis performance in clinically unresponsive critical-care patients with brain injury.

ABSTRACT: Accurately predicting functional outcomes for unresponsive patients with acute brain injury is a medical, scientific and ethical challenge. This prospective study assesses how a multimodal approach combining various numbers of behavioral, neuroimaging and electrophysiological markers affects the performance of outcome predictions. We analyzed data from 349 patients admitted to a tertiary neurointensive care unit between 2009 and 2021, categorizing prognoses as good, uncertain or poor, and compared these predictions with observed outcomes using the Glasgow Outcome Scale-Extended (GOS-E, levels ranging from 1 to 8, with higher levels indicating better outcomes). After excluding cases with life-sustaining therapy withdrawal to mitigate the self-fulfilling prophecy bias, our findings reveal th

SUBMITTER: Rohaut B 

PROVIDER: S-EPMC11333287 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature