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Noé E, Navarro MD, Moliner B, O'Valle M, Olaya J, Maza A, Llorens R, Ferri J, Rodríguez R, Pérez T, Bernabéu M, Colomer C, Gómez A, González C, Juárez-Belaúnde A, López C, Laxe S, Pelayo R, Ríos M, Quemada I. Guideline: Neurorehabilitation in patients with disorder of consciousness. Recommendations from the Spanish Society of Neurorehabilitation. Neurologia 2025; 40:92-117. [PMID: 39800160 DOI: 10.1016/j.nrleng.2025.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Accepted: 08/19/2024] [Indexed: 01/15/2025] Open
Abstract
INTRODUCTION Clinical practice guidelines in neurorehabilitation for adults with disorders of consciousness by the Spanish Neurorehabilitation Society. This document is based on a review of international clinical practice guidelines published between 2015 and 2022. METHOD A total of 7 articles, corresponding to 5 clinical practice guidelines published between 2015 and 2022, were selected by the group of authors from a pool of 48 bibliographic references extracted from various databases in accordance with predefined search criteria. Following this review, forty recommendations were formulated and subjected to evaluation by an expert committee using a 9-point Likert scale: 1-3 (inappropriate recommendation), 4-6 (uncertain recommendation), and 7-9 (appropriate recommendation), following the methodology of the "Modified Nominal Group Technique." Any recommendation endorsed by at least 75% of the experts as "appropriate" (with a score of 7-9) was considered accepted. CONCLUSIONS This document presents 40 recommendations categorised according to the level of evidence provided by the reviewed studies. These recommendations represent a consensus among experts and pertain to various aspects related to: 1) clinical assessment, 2) complementary diagnostic tests, 3) prognosis, and 4) treatment in this specific population.
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Affiliation(s)
- E Noé
- IRENEA-Instituto de Rehabilitación Neurológica, Hospital Vithas Virgen del Consuelo, Valencia, Spain.
| | - M D Navarro
- IRENEA-Instituto de Rehabilitación Neurológica, Fundación Hospitales Vithas, Valencia, Spain
| | - B Moliner
- IRENEA-Instituto de Rehabilitación Neurológica, Fundación Hospitales Vithas, Valencia, Spain
| | - M O'Valle
- IRENEA-Instituto de Rehabilitación Neurológica, Fundación Hospitales Vithas, Valencia, Spain
| | - J Olaya
- IRENEA-Instituto de Rehabilitación Neurológica, Fundación Hospitales Vithas, Valencia, Spain
| | - A Maza
- Neurorehabilitation and Brain Research Group, Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano, Universitat Politècnica de València, Valencia, Spain
| | - R Llorens
- Neurorehabilitation and Brain Research Group, Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano, Universitat Politècnica de València, Valencia, Spain
| | - J Ferri
- IRENEA-Instituto de Rehabilitación Neurológica, Fundación Hospitales Vithas, Valencia, Spain
| | | | - T Pérez
- Clínica San Vicente, Madrid, Spain
| | | | - C Colomer
- IRENEA-Instituto de Rehabilitación Neurológica, Fundación Hospitales Vithas, Valencia, Spain
| | - A Gómez
- Centro Estatal de Atención al Daño Cerebral-CEADAC, Madrid, Spain
| | - C González
- Centro Estatal de Atención al Daño Cerebral-CEADAC, Madrid, Spain
| | | | - C López
- Centro Lescer, Madrid, Spain
| | - S Laxe
- Hospital Clínic de Barcelona, Barcelona, Spain
| | - R Pelayo
- Institut Guttmann, Barcelona, Spain
| | - M Ríos
- Hermanas Hospitalarias, Madrid, Spain
| | - I Quemada
- Red Menni de Daño Cerebral, Bilbao, Spain
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Murtaugh B, Fager S, Sorenson T. Emergence from Disorders of Consciousness: Optimizing Self-Agency Through Communication. Phys Med Rehabil Clin N Am 2024; 35:175-191. [PMID: 37993188 PMCID: PMC11216683 DOI: 10.1016/j.pmr.2023.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2023]
Abstract
Language and communication deficits are intrinsic to disorders of consciousness. This article will provide an overview of language and communication deficits that can significantly confound the accuracy of diagnostic assessment in these patients. Authors will also discuss interventions to promote early communication using assistive technology and augmentative communication rehabilitation strategies. Finally, this article will discuss the importance of family education as well as ethical considerations connected to the recovery of communication and adaptive strategies to support patient autonomy and enhance self-agency.
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Affiliation(s)
- Brooke Murtaugh
- Department of Rehabilitation Programs, Madonna Rehabilitation Hospitals, 5401 South Street, Lincoln, NE 68506, USA.
| | - Susan Fager
- Research Institute, Madonna Rehabilitation Hospitals, 5401 South Street, Lincoln, NE 68506, USA
| | - Tabatha Sorenson
- Department of Occupational Therapy, Madonna Rehabilitation Hospitals, 5401 South Street, Lincoln, NE 68506, USA
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Abstract
Covert consciousness is a state of residual awareness following severe brain injury or neurological disorder that evades routine bedside behavioral detection. Patients with covert consciousness have preserved awareness but are incapable of self-expression through ordinary means of behavior or communication. Growing recognition of the limitations of bedside neurobehavioral examination in reliably detecting consciousness, along with advances in neurotechnologies capable of detecting brain states or subtle signs indicative of consciousness not discernible by routine examination, carry promise to transform approaches to classifying, diagnosing, prognosticating and treating disorders of consciousness. Here we describe and critically evaluate the evolving clinical category of covert consciousness, including approaches to its diagnosis through neuroimaging, electrophysiology, and novel behavioral tools, its prognostic relevance, and open questions pertaining to optimal clinical management of patients with covert consciousness recovering from severe brain injury.
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Affiliation(s)
- Michael J. Young
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Brian L. Edlow
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Yelena G. Bodien
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA, USA
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Russell ME, Hammond FM, Murtaugh B. Prognosis and enhancement of recovery in disorders of consciousness. NeuroRehabilitation 2024; 54:43-59. [PMID: 38277313 DOI: 10.3233/nre-230148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2024]
Abstract
Disorders of consciousness after severe brain injury encompass conditions of coma, vegetative state/unresponsive wakefulness syndrome, and minimally conscious state. DoC clinical presentation pose perplexing challenges to medical professionals, researchers, and families alike. The outcome is uncertain in the first weeks to months after a brain injury, with families and medical providers often making important decisions that require certainty. Prognostication for individuals with these conditions has been the subject of intense scientific investigation that continues to strive for valid prognostic indicators and algorithms for predicting recovery of consciousness. This manuscript aims to provide an overview of the current clinical landscape surrounding prognosis and optimizing recovery in DoC and the current and future research that could improve prognostic accuracy after severe brain injury. Improved understanding of these factors will aid healthcare professionals in providing optimal care, fostering hope, and advocating for ethical practices in the management of individuals with DoC.
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Affiliation(s)
- Mary E Russell
- Department of Physical Medicine and Rehabilitation, University of Texas McGovern Medical School, Houston, TX, USA
- TIRR Memorial Hermann - The Woodlands, Shenandoah, TX, USA
| | - Flora M Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, IN, USA
- Rehabilitation Hospital of Indiana, Indianapolis, IN, USA
| | - Brooke Murtaugh
- Department of Rehabilitation Programs, Madonna Rehabilitation Hospitals, Lincoln, NE, USA
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Boerwinkle VL, Gillette K, Rubinos CA, Broman-Fulks J, Aseem F, DeHoff GK, Arhin M, Cediel E, Strohm T. Functional MRI for Acute Covert Consciousness: Emerging Data and Implementation Case Series. Semin Neurol 2023; 43:712-734. [PMID: 37788679 DOI: 10.1055/s-0043-1775845] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Although research studies have begun to demonstrate relationships between disorders of consciousness and brain network biomarkers, there are limited data on the practical aspects of obtaining such network biomarkers to potentially guide care. As the state of knowledge continues to evolve, guidelines from professional societies such as the American and European Academies of Neurology and many experts have advocated that the risk-benefit ratio for the assessment of network biomarkers has begun to favor their application toward potentially detecting covert consciousness. Given the lack of detailed operationalization guidance and the context of the ethical implications, herein we offer a roadmap based on local institutional experience with the implementation of functional MRI in the neonatal, pediatric, and adult intensive care units of our local government-supported health system. We provide a case-based demonstrative approach intended to review the current literature and to assist with the initiation of such services at other facilities.
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Affiliation(s)
- Varina L Boerwinkle
- Division of Child Neurology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Kirsten Gillette
- Division of Child Neurology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Clio A Rubinos
- Division of Neurocritical Care, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Jordan Broman-Fulks
- Division of Child Neurology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Fazila Aseem
- Division of Neurocritical Care, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Grace K DeHoff
- Division of Neurocritical Care, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Martin Arhin
- Division of Child Neurology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Emilio Cediel
- Division of Child Neurology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Tamara Strohm
- Division of Neurocritical Care, University of North Carolina School of Medicine, Chapel Hill, North Carolina
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Murtaugh B, Shapiro Rosenbaum A. Clinical application of recommendations for neurobehavioral assessment in disorders of consciousness: an interdisciplinary approach. Front Hum Neurosci 2023; 17:1129466. [PMID: 37502093 PMCID: PMC10368884 DOI: 10.3389/fnhum.2023.1129466] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 06/05/2023] [Indexed: 07/29/2023] Open
Abstract
Accurate diagnosis, prognosis, and subsequent rehabilitation care planning for persons with Disorders of Consciousness (DoC) has historically posed a challenge for neurological care professionals. Evidence suggests rates of misdiagnosis may be as high as 40% when informal beside evaluations are used to determine level of consciousness. The presence of myriad medical, neurological, functional (motor, sensory, cognitive) and environmental confounds germane to these conditions complicates behavioral assessment. Achieving diagnostic certainty is elusive but critical to inform care planning, clinical decision making, and prognostication. Standardized neurobehavioral rating scales has been shown to improve accuracy in distinguishing between coma, unresponsive wakefulness syndrome/vegetative state and minimally consciousness state as compared to informal assessment methods. Thus, these scales are currently recommended for use as the informal "gold standard" for diagnostic assessment in DoC. The following paper will present an evidence-based approach to neurobehavioral assessment for use in clinical practice. Strategies for optimizing assessment and aiding in identification and management of confounds that can limit diagnostic accuracy will be provided. Finally, clinical application of an interdisciplinary approach to identifying and managing confounds will be discussed and how assessment results can be used to identify trends in performance and guide prognostic counseling with families.
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Affiliation(s)
- Brooke Murtaugh
- Department of Rehabilitation Programs, Madonna Rehabilitation Hospitals, Lincoln, NE, United States
| | - Amy Shapiro Rosenbaum
- Department of Brain Injury Rehabilitation, Park Terrace Care Center, Queens, NY, United States
- TBI Model System, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Brainmatters Neuropsychological Services, PLLC, Plainview, NY, United States
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Xiao X, Chen W, Zhang X. The effect and mechanisms of music therapy on the autonomic nervous system and brain networks of patients of minimal conscious states: a randomized controlled trial. Front Neurosci 2023; 17:1182181. [PMID: 37250411 PMCID: PMC10213399 DOI: 10.3389/fnins.2023.1182181] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 04/13/2023] [Indexed: 05/31/2023] Open
Abstract
Introduction Music therapy has been employed as an alternative treatment modality for the arousal therapy of patients with disorders of consciousness (DOC) in clinical settings. However, due to the absence of continuous quantitative measurements and the lack of a non-musical sound control group in most studies, the identification of the specific impact of music on DOC patients remains challenging. In this study, 20 patients diagnosed with minimally consciousness state (MCS) were selected, and a total of 15 patients completed the experiment. Methods All patients were randomly assigned to three groups: an intervention group (music therapy group, n = 5), a control group (familial auditory stimulation group, n = 5), and a standard care group (no sound stimulation group, n = 5). All three groups received 30 min of therapy five times a week for a total of 4 weeks (20 times per group, 60 times in total). Autonomic nervous system (ANS) measurements, Glasgow Coma Scale (GCS), and functional magnetic resonance-diffusion tensor imaging (fMRI-DTI) were used to measure the peripheral nervous system indicators and brain networks, and to evaluate patients' behavior levels. Results The results reveal that PNN50 (p = 0.0004**), TP (p = 0.0003**), VLF (p = 0.0428**), and LF/HF (p = 0.0001**) in the music group were significantly improved compared with the other two groups. Such findings suggest that the ANS of patients with MCS exhibits higher activity levels during music exposure compared to those exposed to family conversation or no auditory stimulation. In fMRI-DTI detection, due to the relative activity of ANS in the music group, the ascending reticular activation system (ARAS) in the brain network also exhibited significant nerve fiber bundle reconstruction, superior temporal gyrus (STG), transverse temporal gyrus (TTG), inferior temporal gyrus (ITG), limbic system, corpus callosum, subcorticospinal trace, thalamus and brainstem regions. In the music group, the reconstructed network topology was directed rostrally to the diencephalon's dorsal nucleus, with the brainstem's medial region serving as the hub. This network was found to be linked with the caudal corticospinal tract and the ascending lateral branch of the sensory nerve within the medulla. Conclusion Music therapy, as an emerging treatment for DOC, appears to be integral to the awakening of the peripheral nervous system-central nervous system based on the hypothalamic-brainstem-autonomic nervous system (HBA) axis, and is worthy of clinical promotion. The research was supported by the Beijing Science and Technology Project Foundation of China, No. Z181100001718066, and the National Key R&D Program of China No. 2022YFC3600300, No. 2022YFC3600305.
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Affiliation(s)
- Xiang Xiao
- School of Music and Dance, Hunan First Normal University, Changsha, Hunan, China
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- Department of Neurorehabilitation, China Rehabilitation Research Center, Beijing, China
| | - Wenyi Chen
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- Department of Music Artificial Intelligence and Music Information Technology, Central Conservatory of Music, Beijing, China
- Music Therapy Center, China Rehabilitation Research Center, Beijing, China
| | - Xiaoying Zhang
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- Department of Neurorehabilitation, China Rehabilitation Research Center, Beijing, China
- Department of Music Artificial Intelligence and Music Information Technology, Central Conservatory of Music, Beijing, China
- Music Therapy Center, China Rehabilitation Research Center, Beijing, China
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