Towards modern post-coma care based on neuroscientific evidence

• Leandro R.D. Sanz ^[1] ; Steven Laureys ^[1] ; Olivia Gosseries ^[1]
  1. [1] University of Liège

     University of Liège

     Arrondissement de Liège, Bélgica

     
• Localización: International journal of clinical and health psychology, ISSN 1697-2600, Vol. 23, Nº. 3, 2023, págs. 91-100
• Idioma: inglés
• DOI: 10.1016/j.ijchp.2023.100370
• Enlaces
  • Texto completo
• Resumen

  • Background Understanding the mechanisms underlying human consciousness is pivotal to improve the prognostication and treatment of severely brain-injured patients. Consciousness remains an elusive concept and the identification of its neural correlates is an active subject of research, however recent neuroscientific advances have allowed scientists to better characterize disorders of consciousness. These breakthroughs question the historical nomenclature and our current management of post-comatose patients.

    Method This review examines the contribution of consciousness neurosciences to the current clinical management of severe brain injury. It investigates the major impact of consciousness disorders on healthcare systems, the scientific frameworks employed to identify their neural correlates and how evidence-based data from neuroimaging research have reshaped the landscape of post-coma care in recent years.

    Results Our increased ability to detect behavioral and neurophysiological signatures of consciousness has led to significant changes in taxonomy and clinical practice. We advocate for a multimodal framework for the management of severely brain-injured patients based on precision medicine and evidence-based decisions, integrating epidemiology, health economics and neuroethics.

    Conclusions Major progress in brain imaging and clinical assessment have opened the door to a new era of post-coma care based on standardized neuroscientific evidence. We highlight its implications in clinical applications and call for improved collaborations between researchers and clinicians to better translate findings to the bedside.

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