2021
DOI: 10.1007/s12028-021-01246-9
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A Precision Medicine Framework for Classifying Patients with Disorders of Consciousness: Advanced Classification of Consciousness Endotypes (ACCESS)

Abstract: Background: Consciousness in patients with brain injury is traditionally assessed based on semiological evaluation at the bedside. This classification is limited because of low granularity, ill-defined and rigid nomenclatures incompatible with the highly fluctuating nature of consciousness, failure to identify specific brain states like cognitive motor dissociation, and neglect for underlying biological mechanisms. Here, the authors present a pragmatic framework based on consciousness endotypes that combines c… Show more

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Cited by 50 publications
(39 citation statements)
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“…Mechanistic biomarkers that predict a therapeutic response are also needed to improve the efficiency of clinical trials by enrolling patients whose brain networks are amenable to therapeutic modulation. This precision medicine approach will require a broad range of methodological advances, including the rigorous characterization of patient endotypes [221].…”
Section: Discussion and Future Directionsmentioning
confidence: 99%
“…Mechanistic biomarkers that predict a therapeutic response are also needed to improve the efficiency of clinical trials by enrolling patients whose brain networks are amenable to therapeutic modulation. This precision medicine approach will require a broad range of methodological advances, including the rigorous characterization of patient endotypes [221].…”
Section: Discussion and Future Directionsmentioning
confidence: 99%
“…2 Departments of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. 3 Departments of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. 4 Departments of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD,…”
Section: Author Contributionsmentioning
confidence: 99%
“…CSWG modules were given a set of objectives and a time line, and were instructed to implement a gap analysis approach; in its simplified form, the latter requires the description of a desired state and a current state, and the elaboration of a strategic pathway bridging current to desired. White *Correspondence: rstevens@jhmi.edu 1 Division of Neurosciences Critical Care, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Phipps 455, Baltimore, MD 21287, USA Full list of author information is available at the end of the article papers summarizing the findings of each module appear in this issue of the journal [3][4][5][6].…”
mentioning
confidence: 99%
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