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Bougouin W, Lascarrou JB, Chelly J, Benghanem S, Geri G, Maizel J, Fage N, Sboui G, Pichon N, Daubin C, Sauneuf B, Mongardon N, Taccone F, Hermann B, Colin G, Lesieur O, Deye N, Chudeau N, Cour M, Bourenne J, Klouche K, Klein T, Raphalen JH, Muller G, Galbois A, Bruel C, Jacquier S, Paul M, Sandroni C, Cariou A. Performance of the ERC/ESICM-recommendations for neuroprognostication after cardiac arrest: Insights from a prospective multicenter cohort. Resuscitation 2024; 202:110362. [PMID: 39151721 DOI: 10.1016/j.resuscitation.2024.110362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Revised: 08/09/2024] [Accepted: 08/11/2024] [Indexed: 08/19/2024]
Abstract
AIM To investigate the performance of the 2021 ERC/ESICM-recommended algorithm for predicting poor outcome after cardiac arrest (CA) and potential tools for predicting neurological recovery in patients with indeterminate outcome. METHODS Prospective, multicenter study on out-of-hospital CA survivors from 28 ICUs of the AfterROSC network. In patients comatose with a Glasgow Coma Scale motor score ≤3 at ≥72 h after resuscitation, we measured: (1) the accuracy of neurological examination, biomarkers (neuron-specific enolase, NSE), electrophysiology (EEG and SSEP) and neuroimaging (brain CT and MRI) for predicting poor outcome (modified Rankin scale score ≥4 at 90 days), and (2) the ability of low or decreasing NSE levels and benign EEG to predict good outcome in patients whose prognosis remained indeterminate. RESULTS Among 337 included patients, the ERC-ESICM algorithm predicted poor neurological outcome in 175 patients, and the positive predictive value for an unfavourable outcome was 100% [98-100]%. The specificity of individual predictors ranged from 90% for EEG to 100% for clinical examination and SSEP. Among the remaining 162 patients with indeterminate outcome, a combination of 2 favourable signs predicted good outcome with 99[96-100]% specificity and 23[11-38]% sensitivity. CONCLUSION All comatose resuscitated patients who fulfilled the ERC-ESICM criteria for poor outcome after CA had poor outcome at three months, even if a self-fulfilling prophecy cannot be completely excluded. In patients with indeterminate outcome (half of the population), favourable signs predicted neurological recovery, reducing prognostic uncertainty.
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Affiliation(s)
- Wulfran Bougouin
- AfterROSC Network Group, Paris, France; Université de Paris Cité, Inserm, Paris Cardiovascular Research Center, Paris, France; Ramsay Générale de Santé, Hôpital Privé Jacques Cartier, Massy, France.
| | - Jean-Baptiste Lascarrou
- AfterROSC Network Group, Paris, France; Université de Paris Cité, Inserm, Paris Cardiovascular Research Center, Paris, France; Service de Médecine Intensive Réanimation, University Hospital Center, Nantes, France
| | - Jonathan Chelly
- AfterROSC Network Group, Paris, France; Réanimation Polyvalente, Centre Hospitalier Intercommunal Toulon La Seyne sur Mer, Toulon, France
| | - Sarah Benghanem
- AfterROSC Network Group, Paris, France; Médecine Intensive Réanimation, APHP, CHU Cochin, Université Paris Cité, Paris, France
| | - Guillaume Geri
- AfterROSC Network Group, Paris, France; Réanimation Polyvalente, Groupe Hospitalier Privé Ambroise Paré Hartmann, Neuilly-sur-Seine, France
| | - Julien Maizel
- AfterROSC Network Group, Paris, France; Médecine Intensive Réanimation, CHU Amiens, Amiens, France
| | - Nicolas Fage
- AfterROSC Network Group, Paris, France; Département de médecine intensive réanimation et médecine hyperbare, CHU Angers, Angers, France
| | - Ghada Sboui
- AfterROSC Network Group, Paris, France; Médecine Intensive Réanimation, CH Béthune, Béthune, France
| | - Nicolas Pichon
- AfterROSC Network Group, Paris, France; Médecine Intensive Réanimation, CH Brive‑La‑Gaillarde, Brive, France
| | - Cédric Daubin
- AfterROSC Network Group, Paris, France; CHU de Caen Normandie, Médecine Intensive Réanimation, 14000 CAEN, France
| | - Bertrand Sauneuf
- AfterROSC Network Group, Paris, France; Réanimation Médecine Intensive, Centre Hospitalier Public du Cotentin, 50100 Cherbourg-en-Cotentin, France
| | - Nicolas Mongardon
- AfterROSC Network Group, Paris, France; Service d'Anesthésie‑Réanimation et Médecine Péri-Opératoire, APHP, CHU Henri Mondor, Créteil, France
| | - Fabio Taccone
- AfterROSC Network Group, Paris, France; Réanimation, ERASME, Brussels, Belgium
| | - Bertrand Hermann
- AfterROSC Network Group, Paris, France; Médecine Intensive-Réanimation, AP-HP, Hôpital Européen Georges Pompidou, 20 rue Leblanc, Paris, France
| | - Gwenhaël Colin
- AfterROSC Network Group, Paris, France; Médecine Intensive Réanimation, CHD Vendée, La Roche‑Sur‑Yon, France
| | - Olivier Lesieur
- AfterROSC Network Group, Paris, France; Médecine Intensive Réanimation, CH La Rochelle, La Rochelle, France
| | - Nicolas Deye
- AfterROSC Network Group, Paris, France; Médecine Intensive Réanimation, APHP, CHU Lariboisière, Paris, France
| | - Nicolas Chudeau
- AfterROSC Network Group, Paris, France; Réanimation médico-chirurgicale, CH Le Mans, Le Mans, France
| | - Martin Cour
- AfterROSC Network Group, Paris, France; Médecine Intensive Réanimation, Hospices Civils Lyon, Lyon, France
| | - Jeremy Bourenne
- AfterROSC Network Group, Paris, France; Réanimation des Urgences et Déchocage, CHU La Timone, APHM, Marseille, France
| | - Kada Klouche
- AfterROSC Network Group, Paris, France; Médecine Intensive Réanimation, CHU Montpellier, Montpellier, France
| | - Thomas Klein
- AfterROSC Network Group, Paris, France; Service de Médecine Intensive Réanimation Brabois, CHRU, Nancy, France
| | - Jean-Herlé Raphalen
- AfterROSC Network Group, Paris, France; Médecine Intensive Réanimation, APHP, CHU Necker, Paris, France
| | - Grégoire Muller
- AfterROSC Network Group, Paris, France; Centre Hospitalier Universitaire (CHU) d'Orléans, Médecine Intensive Réanimation, Université de Tours, MR INSERM 1327 ISCHEMIA, F37000 Tours, France; Clinical Research in Intensive Care and Sepsis-Trial Group for Global Evaluation and Research in Sepsis (CRICS_TRIGGERSep) French Clinical Research Infrastructure Network (F-CRIN) Research Network, France
| | - Arnaud Galbois
- AfterROSC Network Group, Paris, France; Service de Réanimation Polyvalente, Ramsay-Santé, Hôpital Privé Claude Galien, Quincy‑Sous‑Sénart, France
| | - Cédric Bruel
- AfterROSC Network Group, Paris, France; Service de Réanimation Polyvalente, Groupe Hospitalier Paris Saint Joseph, Paris, France
| | - Sophie Jacquier
- AfterROSC Network Group, Paris, France; Médecine Intensive Réanimation, CHU Tours, Tours, France
| | - Marine Paul
- AfterROSC Network Group, Paris, France; Médecine Intensive Réanimation, CH Versailles, Le Chesnay, France
| | - Claudio Sandroni
- Department of Intensive Care, Emergency Medicine and Anaesthesiology, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy; Institute of Anaesthesiology and Intensive Care Medicine, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Alain Cariou
- AfterROSC Network Group, Paris, France; Université de Paris Cité, Inserm, Paris Cardiovascular Research Center, Paris, France; Ramsay Générale de Santé, Hôpital Privé Jacques Cartier, Massy, France
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2
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Martin FP, Goronflot T, Moyer JD, Huet O, Asehnoune K, Cinotti R, Gourraud PA, Roquilly A. Predictive Models of Long-Term Outcome in Patients with Moderate to Severe Traumatic Brain Injury are Biased Toward Mortality Prediction. Neurocrit Care 2024:10.1007/s12028-024-02082-3. [PMID: 39138720 DOI: 10.1007/s12028-024-02082-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 07/26/2024] [Indexed: 08/15/2024]
Abstract
BACKGROUND The prognostication of long-term functional outcomes remains challenging in patients with traumatic brain injury (TBI). Our aim was to demonstrate that intensive care unit (ICU) variables are not efficient to predict 6-month functional outcome in survivors with moderate to severe TBI (msTBI) but are mostly associated with mortality, which leads to a mortality bias for models predicting a composite outcome of mortality and severe disability. METHODS We analyzed the data from the multicenter randomized controlled Continuous Hyperosmolar Therapy in Traumatic Brain-Injured Patients trial and developed predictive models using machine learning methods and baseline characteristics and predictors collected during ICU stay. We compared our models' predictions of 6-month binary Glasgow Outcome Scale extended (GOS-E) score in all patients with msTBI (unfavorable GOS-E 1-4 vs. favorable GOS-E 5-8) with mortality (GOS-E 1 vs. GOS-E 2-8) and binary functional outcome in survivors with msTBI (severe disability GOS-E 2-4 vs. moderate to no disability GOS-E 5-8). We investigated the link between ICU variables and long-term functional outcomes in survivors with msTBI using predictive modeling and factor analysis of mixed data and validated our hypotheses on the International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) model. RESULTS Based on data from 370 patients with msTBI and classically used ICU variables, the prediction of the 6-month outcome in survivors was inefficient (mean area under the receiver operating characteristic 0.52). Using factor analysis of mixed data graph, we demonstrated that high-variance ICU variables were not associated with outcome in survivors with msTBI (p = 0.15 for dimension 1, p = 0.53 for dimension 2) but mostly with mortality (p < 0.001 for dimension 1), leading to a mortality bias for models predicting a composite outcome of mortality and severe disability. We finally identified this mortality bias in the IMPACT model. CONCLUSIONS We demonstrated using machine learning-based predictive models that classically used ICU variables are strongly associated with mortality but not with 6-month outcome in survivors with msTBI, leading to a mortality bias when predicting a composite outcome of mortality and severe disability.
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Affiliation(s)
- Florian P Martin
- Nantes Université, Institut National de la Santé et de la Recherche Médicale (INSERM), UMR 1064, Center for Research in Transplantation and Translational Immunology (CR2TI), 22 Boulevard Bénoni Goullin, 44200, Nantes, France.
- Department of Anesthesiology and Surgical Intensive Care Unit, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France.
| | - Thomas Goronflot
- CHU Nantes, Pôle Hospitalo-Universitaire 11: Santé Publique, Clinique Des Données, INSERM, Nantes Université, Nantes, France
| | - Jean D Moyer
- Department of Anesthesia and Critical Care, Départements Médico-Universitaires Parabol, Assistance Publique-Hôpitaux de Paris Nord, Beaujon Hospital, Paris, France
| | - Olivier Huet
- Anesthesia and Intensive Care Unit, CHU Brest, Brest, France
| | - Karim Asehnoune
- Nantes Université, Institut National de la Santé et de la Recherche Médicale (INSERM), UMR 1064, Center for Research in Transplantation and Translational Immunology (CR2TI), 22 Boulevard Bénoni Goullin, 44200, Nantes, France
- Department of Anesthesiology and Surgical Intensive Care Unit, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Raphaël Cinotti
- Department of Anesthesiology and Surgical Intensive Care Unit, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
- Methods in Patient-Centered Outcomes and Healthy Research (SPHERE), INSERM, UMR 1246, Nantes Université, Université de Tours, Nantes, France
| | - Pierre A Gourraud
- Nantes Université, Institut National de la Santé et de la Recherche Médicale (INSERM), UMR 1064, Center for Research in Transplantation and Translational Immunology (CR2TI), 22 Boulevard Bénoni Goullin, 44200, Nantes, France
- CHU Nantes, Pôle Hospitalo-Universitaire 11: Santé Publique, Clinique Des Données, INSERM, Nantes Université, Nantes, France
| | - Antoine Roquilly
- Nantes Université, Institut National de la Santé et de la Recherche Médicale (INSERM), UMR 1064, Center for Research in Transplantation and Translational Immunology (CR2TI), 22 Boulevard Bénoni Goullin, 44200, Nantes, France
- Department of Anesthesiology and Surgical Intensive Care Unit, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
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Newcombe V. Detection of awareness after brain injury: time for change. Lancet Neurol 2024; 23:757-759. [PMID: 39030028 DOI: 10.1016/s1474-4422(24)00262-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Accepted: 06/11/2024] [Indexed: 07/21/2024]
Affiliation(s)
- Virginia Newcombe
- Department of Medicine, Cambridge University Hospital NHS Trust, Cambridge CB2 0QQ, UK.
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Al-Fadhl MD, Karam MN, Chen J, Zackariya SK, Lain MC, Bales JR, Higgins AB, Laing JT, Wang HS, Andrews MG, Thomas AV, Smith L, Fox MD, Zackariya SK, Thomas SJ, Tincher AM, Al-Fadhl HD, Weston M, Marsh PL, Khan HA, Thomas EJ, Miller JB, Bailey JA, Koenig JJ, Waxman DA, Srikureja D, Fulkerson DH, Fox S, Bingaman G, Zimmer DF, Thompson MA, Bunch CM, Walsh MM. Traumatic Brain Injury as an Independent Predictor of Futility in the Early Resuscitation of Patients in Hemorrhagic Shock. J Clin Med 2024; 13:3915. [PMID: 38999481 PMCID: PMC11242176 DOI: 10.3390/jcm13133915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 06/08/2024] [Accepted: 06/26/2024] [Indexed: 07/14/2024] Open
Abstract
This review explores the concept of futility timeouts and the use of traumatic brain injury (TBI) as an independent predictor of the futility of resuscitation efforts in severely bleeding trauma patients. The national blood supply shortage has been exacerbated by the lingering influence of the COVID-19 pandemic on the number of blood donors available, as well as by the adoption of balanced hemostatic resuscitation protocols (such as the increasing use of 1:1:1 packed red blood cells, plasma, and platelets) with and without early whole blood resuscitation. This has underscored the urgent need for reliable predictors of futile resuscitation (FR). As a result, clinical, radiologic, and laboratory bedside markers have emerged which can accurately predict FR in patients with severe trauma-induced hemorrhage, such as the Suspension of Transfusion and Other Procedures (STOP) criteria. However, the STOP criteria do not include markers for TBI severity or transfusion cut points despite these patients requiring large quantities of blood components in the STOP criteria validation cohort. Yet, guidelines for neuroprognosticating patients with TBI can require up to 72 h, which makes them less useful in the minutes and hours following initial presentation. We examine the impact of TBI on bleeding trauma patients, with a focus on those with coagulopathies associated with TBI. This review categorizes TBI into isolated TBI (iTBI), hemorrhagic isolated TBI (hiTBI), and polytraumatic TBI (ptTBI). Through an analysis of bedside parameters (such as the proposed STOP criteria), coagulation assays, markers for TBI severity, and transfusion cut points as markers of futilty, we suggest amendments to current guidelines and the development of more precise algorithms that incorporate prognostic indicators of severe TBI as an independent parameter for the early prediction of FR so as to optimize blood product allocation.
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Affiliation(s)
- Mahmoud D Al-Fadhl
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - Marie Nour Karam
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - Jenny Chen
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - Sufyan K Zackariya
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - Morgan C Lain
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - John R Bales
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - Alexis B Higgins
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - Jordan T Laing
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - Hannah S Wang
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - Madeline G Andrews
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - Anthony V Thomas
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - Leah Smith
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - Mark D Fox
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - Saniya K Zackariya
- Department of Internal Medicine, Saint Joseph Regional Medical Center, Mishawaka, IN 46545, USA
| | - Samuel J Thomas
- Department of Internal Medicine, Saint Joseph Regional Medical Center, Mishawaka, IN 46545, USA
| | - Anna M Tincher
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - Hamid D Al-Fadhl
- Department of Medical Education, South Bend Campus, Indiana University School of Medicine, South Bend, IN 46617, USA
| | - May Weston
- Department of Internal Medicine, Saint Joseph Regional Medical Center, Mishawaka, IN 46545, USA
| | - Phillip L Marsh
- Department of Internal Medicine, Saint Joseph Regional Medical Center, Mishawaka, IN 46545, USA
| | - Hassaan A Khan
- Department of Internal Medicine, Saint Joseph Regional Medical Center, Mishawaka, IN 46545, USA
| | - Emmanuel J Thomas
- Department of Internal Medicine, Saint Joseph Regional Medical Center, Mishawaka, IN 46545, USA
| | - Joseph B Miller
- Department of Emergency Medicine, Henry Ford Hospital, Detroit, MI 48202, USA
| | - Jason A Bailey
- Department of Emergency Medicine, Elkhart General Hospital, Elkhart, IN 46515, USA
| | - Justin J Koenig
- Department of Trauma & Surgical Services, Memorial Hospital, South Bend, IN 46601, USA
| | - Dan A Waxman
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN 46601, USA
- Versiti Blood Center of Indiana, Indianapolis, IN 46208, USA
| | - Daniel Srikureja
- Department of Surgery, Memorial Hospital, South Bend, IN 46601, USA
| | - Daniel H Fulkerson
- Department of Trauma & Surgical Services, Memorial Hospital, South Bend, IN 46601, USA
- Department of Neurosurgery, Memorial Hospital, South Bend, IN 46601, USA
| | - Sarah Fox
- Department of Trauma & Surgical Services, Memorial Hospital, South Bend, IN 46601, USA
| | - Greg Bingaman
- Department of Trauma & Surgical Services, Memorial Hospital, South Bend, IN 46601, USA
| | - Donald F Zimmer
- Department of Emergency Medicine, Memorial Hospital, South Bend, IN 46601, USA
| | - Mark A Thompson
- Department of Surgery, Memorial Hospital, South Bend, IN 46601, USA
| | - Connor M Bunch
- Department of Emergency Medicine, Henry Ford Hospital, Detroit, MI 48202, USA
| | - Mark M Walsh
- Department of Internal Medicine, Saint Joseph Regional Medical Center, Mishawaka, IN 46545, USA
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Muehlschlegel S. Prognostication in Neurocritical Care. Continuum (Minneap Minn) 2024; 30:878-903. [PMID: 38830074 DOI: 10.1212/con.0000000000001433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
OBJECTIVE This article synthesizes the current literature on prognostication in neurocritical care, identifies existing challenges, and proposes future research directions to reduce variability and enhance scientific and patient-centered approaches to neuroprognostication. LATEST DEVELOPMENTS Patients with severe acute brain injury often lack the capacity to make their own medical decisions, leaving surrogate decision makers responsible for life-or-death choices. These decisions heavily rely on clinicians' prognostication, which is still considered an art because of the previous lack of specific guidelines. Consequently, there is significant variability in neuroprognostication practices. This article examines various aspects of neuroprognostication. It explores the cognitive approach to prognostication, highlights the use of statistical modeling such as Bayesian models and machine learning, emphasizes the importance of clinician-family communication during prognostic disclosures, and proposes shared decision making for more patient-centered care. ESSENTIAL POINTS This article identifies ongoing challenges in the field and emphasizes the need for future research to ameliorate variability in neuroprognostication. By focusing on scientific methodologies and patient-centered approaches, this research aims to provide guidance and tools that may enhance neuroprognostication in neurocritical care.
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Mahajan C, Prabhakar H, Rass V, McNett M, Kapoor I, Helbok R, Zirpe K. A National Survey on Coma Epidemiology, Evaluation, and Therapy in India: Revisiting the Curing Coma Campaign Come Together Survey. Neurocrit Care 2024; 40:941-952. [PMID: 37821721 DOI: 10.1007/s12028-023-01852-9] [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: 04/20/2023] [Accepted: 08/31/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND The limited representation from developing countries in the original COME TOGETHER survey gave us an impetus to conduct this survey in the Indian subcontinent. METHODS This cross-sectional online survey was conducted from August through September 2022. Participants were health care physicians caring for patients with coma and disorders of consciousness. Fischer's exact test or the Mann-Whitney U-test was used to compare respondents who agreed or disagreed with the preestablished coma definition. Fleiss κ values were calculated to assess agreement among respondents. A p value less than 0.05 was considered statistically significant. RESULTS The survey was completed by 130 physicians. We found substantial interrater agreement on absence of wakefulness (71.54%; κ = 0.71), Glasgow Coma Score ≤ 8 (78.46%; κ = 0.78), and failure to respond purposefully to visual, verbal, or tactile stimuli (66.15%; κ = 0.66). Reported common etiologies of coma included traumatic brain injury (50.76%), ischemic stroke (30%), and intracerebral hemorrhage (29.23%). The most common clinical assessment tools used for coma included the Glasgow Coma Score (92.3%) and neurological examination (60.8%). Neurological examination was the most common diagnostic tool used (100%), followed by magnetic resonance imaging (89.2%), basic laboratory studies (88.5%), and head computed tomography/angiography (86.9%). Pharmacological interventions used to stimulate arousal in patients with coma were sedation vacation (91.5%), electrolyte/endocrine correction (65.4%), osmotic therapy with mannitol (60%), hypertonic saline (54.6%), modafinil (46.9%), and antidote for drugs (45.4%). Among the nonpharmacological interventions, sensory stimulation (57.7%) was the most commonly used modality. The most common discharge disposition for comatose patients who survived hospitalization were home with or without services (70.0%). CONCLUSIONS Differences from the global survey were noted regarding the following: traumatic brain injury being the most common etiology of coma in India, more frequent practice of sedation interruption, less frequent use of electroencephalography in India, rare use of pharmacological neurostimulants, and home being the most common discharge disposition in India.
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Affiliation(s)
- Charu Mahajan
- Department of Neuroanaesthesiology and Critical Care, All India Institute of Medical Sciences, New Delhi, 110029, India
| | - Hemanshu Prabhakar
- Department of Neuroanaesthesiology and Critical Care, All India Institute of Medical Sciences, New Delhi, 110029, India.
| | - Verena Rass
- Neuro-Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Molly McNett
- College of Nursing, The Ohio State University, Columbus, OH, USA
| | - Indu Kapoor
- Department of Neuroanaesthesiology and Critical Care, All India Institute of Medical Sciences, New Delhi, 110029, India
| | - Raimund Helbok
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Department of Neurology, Johannes Kepler University Linz, Linz, Austria
| | - Kapil Zirpe
- Neurotrauma Unit, Ruby Hall Clinic, Pune, Maharashtra, India
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7
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Sanders WR, Barber JK, Temkin NR, Foreman B, Giacino JT, Williamson T, Edlow BL, Manley GT, Bodien YG. Recovery Potential in Patients Who Died After Withdrawal of Life-Sustaining Treatment: A TRACK-TBI Propensity Score Analysis. J Neurotrauma 2024. [PMID: 38739032 DOI: 10.1089/neu.2024.0014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024] Open
Abstract
Among patients with severe traumatic brain injury (TBI), there is high prognostic uncertainty but growing evidence that recovery of independence is possible. Nevertheless, families are often asked to make decisions about withdrawal of life-sustaining treatment (WLST) within days of injury. The range of potential outcomes for patients who died after WLST (WLST+) is unknown, posing a challenge for prognostic modeling and clinical counseling. We investigated the potential for survival and recovery of independence after acute TBI in patients who died after WLST. We used Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) data and propensity score matching to pair participants with WLST+ to those with a similar probability of WLST (based on demographic and clinical characteristics), but for whom life-sustaining treatment was not withdrawn (WLST-). To optimize matching, we divided the WLST- cohort into tiers (Tier 1 = 0-11%, Tier 2 = 11-27%, Tier 3 = 27-70% WLST propensity). We estimated the level of recovery that could be expected in WLST+ participants by evaluating 3-, 6-, and 12-month Glasgow Outcome Scale-Extended (GOSE) and Disability Rating Scale outcomes in matched WLST- participants. Of 90 WLST+ participants (80% male, mean [standard deviation; SD] age = 59.2 [17.9] years, median [IQR] days to WLST = 5.4 [2.2, 11.7]), 80 could be matched to WLST- participants. Of 56 WLST- participants who were followed at 6 months, 31 (55%) died. Among survivors in the overall sample and survivors in Tiers 1 and 2, more than 30% recovered at least partial independence (GOSE ≥4). In Tier 3, recovery to GOSE ≥4 occurred at 12 months, but not 6 months, post-injury. These results suggest a substantial proportion of patients with TBI and WLST may have survived and achieved at least partial independence. However, death or severe disability is a common outcome when the probability of WLST is high. While further validation is needed, our findings support a more cautious clinical approach to WLST and more complete reporting on WLST in TBI studies.
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Affiliation(s)
- William R Sanders
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Jason K Barber
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - Nancy R Temkin
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
| | - Theresa Williamson
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Brian L Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Yelena G Bodien
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
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Kojima M, Morishita K, Shoko T, Zakhary B, Costantini T, Haines L, Coimbra R. Does frailty impact failure-to-rescue in geriatric trauma patients? J Trauma Acute Care Surg 2024; 96:708-714. [PMID: 38196096 DOI: 10.1097/ta.0000000000004256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
BACKGROUND Failure-to-rescue (FTR), defined as death following a major complication, is a metric of trauma quality. The impact of patient frailty on FTR has not been fully investigated, especially in geriatric trauma patients. This study hypothesized that frailty increased the risk of FTR in geriatric patients with severe injury. METHODS A retrospective cohort study was conducted using the TQIP database between 2015 and 2019, including geriatric patients with trauma (age ≥65 years) and an Injury Severity Score (ISS) > 15, who survived ≥48 hours postadmission. Frailty was assessed using the modified 5-item frailty index (mFI). Patients were categorized into frail (mFI ≥ 2) and nonfrail (mFI < 2) groups. Logistic regression analysis and a generalized additive model (GAM) were used to examine the association between FTR and patient frailty after controlling for age, sex, type of injury, trauma center level, ISS, and vital signs on admission. RESULTS Among 52,312 geriatric trauma patients, 34.6% were frail (mean mFI: frail: 2.3 vs. nonfrail: 0.9, p < 0.001). Frail patients were older (age, 77 vs. 74 years, p < 0.001), had a lower ISS (19 vs. 21, p < 0.001), and had a higher incidence of FTR compared with nonfrail patients (8.7% vs. 8.0%, p = 0.006). Logistic regression analysis revealed that frailty was an independent predictor of FTR (odds ratio, 1.32; confidence interval, 1.23-1.44; p < 0.001). The GAM plots showed a linear increase in FTR incidence with increasing mFI after adjusting for confounders. CONCLUSION This study demonstrated that frailty independently contributes to an increased risk of FTR in geriatric trauma patients. The impact of patient frailty should be considered when using FTR to measure the quality of trauma care. LEVEL OF EVIDENCE Therapeutic/Care Management; Level IV.
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Affiliation(s)
- Mitsuaki Kojima
- From the Emergency and Critical Care Center (M.K., T.S.), Tokyo Women's Medical University Adachi Medical Center, Adachi, Tokyo, Japan; Trauma and Acute Critical Care Medical Center (K.M.), Tokyo Medical and Dental University Hospital, Bunkyo, Tokyo, Japan; CECORC-Comparative Effectiveness and Clinical Outcomes Research Center (B.Z., R.C.), Riverside University Health System Medical Center, Moreno Valley, CA; and Division of Trauma, Surgical Critical Care (TC, LH), Burns, and Acute Care Surgery, Department of Surgery, University of California San Diego Health Sciences, San Diego, CA
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9
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Muehlschlegel S, Rajajee V, Wartenberg KE, Alexander SA, Busl KM, Creutzfeldt CJ, Fontaine GV, Hocker SE, Hwang DY, Kim KS, Madzar D, Mahanes D, Mainali S, Meixensberger J, Sakowitz OW, Varelas PN, Weimar C, Westermaier T. Guidelines for Neuroprognostication in Critically Ill Adults with Moderate-Severe Traumatic Brain Injury. Neurocrit Care 2024; 40:448-476. [PMID: 38366277 PMCID: PMC10959796 DOI: 10.1007/s12028-023-01902-2] [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: 11/17/2023] [Accepted: 11/22/2023] [Indexed: 02/18/2024]
Abstract
BACKGROUND Moderate-severe traumatic brain injury (msTBI) carries high morbidity and mortality worldwide. Accurate neuroprognostication is essential in guiding clinical decisions, including patient triage and transition to comfort measures. Here we provide recommendations regarding the reliability of major clinical predictors and prediction models commonly used in msTBI neuroprognostication, guiding clinicians in counseling surrogate decision-makers. METHODS Using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology, we conducted a systematic narrative review of the most clinically relevant predictors and prediction models cited in the literature. The review involved framing specific population/intervention/comparator/outcome/timing/setting (PICOTS) questions and employing stringent full-text screening criteria to examine the literature, focusing on four GRADE criteria: quality of evidence, desirability of outcomes, values and preferences, and resource use. Moreover, good practice recommendations addressing the key principles of neuroprognostication were drafted. RESULTS After screening 8125 articles, 41 met our eligibility criteria. Ten clinical variables and nine grading scales were selected. Many articles varied in defining "poor" functional outcomes. For consistency, we treated "poor" as "unfavorable". Although many clinical variables are associated with poor outcome in msTBI, only the presence of bilateral pupillary nonreactivity on admission, conditional on accurate assessment without confounding from medications or injuries, was deemed moderately reliable for counseling surrogates regarding 6-month functional outcomes or in-hospital mortality. In terms of prediction models, the Corticosteroid Randomization After Significant Head Injury (CRASH)-basic, CRASH-CT (CRASH-basic extended by computed tomography features), International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT)-core, IMPACT-extended, and IMPACT-lab models were recommended as moderately reliable in predicting 14-day to 6-month mortality and functional outcomes at 6 months and beyond. When using "moderately reliable" predictors or prediction models, the clinician must acknowledge "substantial" uncertainty in the prognosis. CONCLUSIONS These guidelines provide recommendations to clinicians on the formal reliability of individual predictors and prediction models of poor outcome when counseling surrogates of patients with msTBI and suggest broad principles of neuroprognostication.
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Affiliation(s)
- Susanne Muehlschlegel
- Departments of Neurology and Anesthesiology/Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | | | | | - Katharina M Busl
- Departments of Neurology and Neurosurgery, University of Florida College of Medicine, Gainesville, FL, USA
| | | | - Gabriel V Fontaine
- Departments of Pharmacy and Neurosciences, Intermountain Health, Salt Lake City, UT, USA
| | - Sara E Hocker
- Department of Neurology, Saint Luke's Health System, Kansas City, MO, USA
| | - David Y Hwang
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Keri S Kim
- Department of Pharmacy Practice, University of Illinois at Chicago, Chicago, IL, USA
| | - Dominik Madzar
- Department of Neurology, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Dea Mahanes
- Departments of Neurology and Neurosurgery, University of Virginia Health, Charlottesville, VA, USA
| | - Shraddha Mainali
- Department of Neurology, Virginia Commonwealth University, Richmond, VA, USA
| | | | - Oliver W Sakowitz
- Department of Neurosurgery, Neurosurgery Center Ludwigsburg-Heilbronn, Ludwigsburg, Germany
| | | | - Christian Weimar
- Institute of Medical Informatics, Biometry, and Epidemiology, University Hospital Essen, Essen, Germany
- BDH-Klinik Elzach, Elzach, Germany
| | - Thomas Westermaier
- Department of Neurosurgery, Helios Amper Klinikum Dachau, Dachau, Germany.
- Faculty of Medicine, University of Würzburg, Würzburg, Germany.
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10
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Bath J, Barylak M, Kedda E, Harvey E, Locklear T, Martinez M, Collier B, Weppner J. Timing of withdrawal of life-sustaining therapy in traumatic brain injury: exploring indicators of poor prognosis in adult and geriatric populations. Brain Inj 2024; 38:267-272. [PMID: 38294172 DOI: 10.1080/02699052.2024.2309656] [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: 08/02/2023] [Accepted: 01/20/2024] [Indexed: 02/01/2024]
Abstract
OBJECTIVE The lack of objective prognostication tools for severe traumatic brain injury (TBI) causes variability in the application of withdrawal of life-saving treatment (WLST). We aimed to determine whether WLST in persons with severe TBI is associated with known indicators of poor prognosis. METHODS This retrospective descriptive study focused on adult (18-64 years) and geriatric (≥65 years) patients with severe TBI who were admitted between August 1, 2018 and July 31, 2021 at a Level I trauma center and subsequently underwent WLST. The data collected from the Trauma Registry and electronic health records included information regarding demographic characteristics, injury severity, clinical variables, and length of hospital stay and were used to examine the indicators of poor prognosis and WLST. RESULTS Among the 164 participants with TBI who met the inclusion criteria, 61.0% were geriatric, and 122 (74.4%) patients had 0 or only 1 of the poor prognostic indicators prior to WLST. The non-geriatric group had more indicators of poor prognosis than the geriatric group. Participants with fewer indicators of poor prognosis had a longer length-of-stay. CONCLUSION In severe TBI cases, standardized prognostication tools can help guide informed WLST decisions, particularly in geriatric patients, improving care consistency.
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Affiliation(s)
| | - Martin Barylak
- Virginia Tech Carilion School of Medicine, Roanoke, VA, USA
| | - Edward Kedda
- Edward Via College of Osteopathic Medicine, Blacksburg, VA, USA
| | | | | | | | - Bryan Collier
- Carilion Clinic, Roanoke, VA, USA
- Department of Surgery, Virginia Tech Carilion School of Medicine, Roanoke, VA, USA
| | - Justin Weppner
- Carilion Clinic, Roanoke, VA, USA
- Department of Internal Medicine, Virginia Tech Carilion School of Medicine, Roanoke, VA, USA
- Department of Internal Medicine, Edward Via College of Osteopathic Medicine, Blacksburg, VA, USA
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11
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Roohollahi F, Molavi S, Mohammadi M, Mohamadi M, Mohammadi A, Kankam SB, Farahbakhsh F, Moarrefdezfouli A, Peters ME, Albrecht JS, Gardner RC, Rahimi-Movaghar V. Prognostic Value of Frailty for Outcome Following Traumatic Brain Injury: A Systematic Review and Meta-Analysis. J Neurotrauma 2024; 41:331-348. [PMID: 37416987 DOI: 10.1089/neu.2023.0176] [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: 07/08/2023] Open
Abstract
Frailty is a known predictor of negative health outcomes. The role of frailty in predicting outcomes after traumatic brain injury (TBI), however, is unclear. This systematic review aimed to evaluate the association between frailty and adverse outcomes in patients with TBI. We identified relevant articles that investigated the relationship between frailty and outcomes in patients with TBI by searching PubMed/MEDLINE, Web of Science, Scopus, and EMBASE from inception until 23 March 2023. To evaluate the risk of bias in the included studies, we utilized the Newcastle-Ottawa Scale (NOS). In addition, quantitative synthesis and meta-analyses were performed. We identified 12 studies that met our inclusion criteria; three were prospective. Of included studies, eight had low risk, three had moderate risk, and one had high risk of bias. Frailty was significantly associated with death in five studies, with an increased risk of in-hospital death and complications observed in frail patients. Frailty was associated with longer hospital stays and unfavorable outcome measured by the Extended Glasgow Outcome Scale (GOSE) in four studies. The meta-analysis found that higher frailty significantly increased the odds of non-routine discharge and unfavorable outcome as measured by GOSE scores of 4 or lower. The pooled odds ratio (OR) for non-routine discharge, was 1.80, with a 95% confidence interval (CI) of 1.15-2.84; and for unfavorable outcome, it was 1.91, with a 95% CI of 1.09-3.36. The analysis, however, did not find a significant predictive role for frailty on death (30-day or in-hospital death). The OR for higher frailty and death was 1.42 with a 95% CI of 0.92-2.19. Frailty should be considered in the evaluation of patients with TBI to identify those who may be at increased risk of negative outcomes.
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Affiliation(s)
- Faramarz Roohollahi
- Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
- Spine Center of Excellence , Yas Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Shervin Molavi
- Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Mobin Mohamadi
- School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Aynaz Mohammadi
- School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Samuel Berchi Kankam
- Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
- Spine Center of Excellence , Yas Hospital, Tehran University of Medical Sciences, Tehran, Iran
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Farzin Farahbakhsh
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Azin Moarrefdezfouli
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Matthew E Peters
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jennifer S Albrecht
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Raquel C Gardner
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | - Vafa Rahimi-Movaghar
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
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12
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Niemeyer MJS, Jochems D, Van Ditshuizen JC, de Kanter J, Cremers L, van Hattem M, Den Hartog D, Houwert RM, Leenen LPH, van Wessem KJP. Clinical outcomes and end-of-life treatment in 596 patients with isolated traumatic brain injury: a retrospective comparison of two Dutch level-I trauma centers. Eur J Trauma Emerg Surg 2024:10.1007/s00068-023-02407-5. [PMID: 38226991 DOI: 10.1007/s00068-023-02407-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/12/2023] [Indexed: 01/17/2024]
Abstract
PURPOSE With an increasingly older population and rise in incidence of traumatic brain injury (TBI), end-of-life decisions have become frequent. This study investigated the rate of withdrawal of life sustaining treatment (WLST) and compared treatment outcomes in patients with isolated TBI in two Dutch level-I trauma centers. METHODS From 2011 to 2016, a retrospective cohort study of patients aged ≥ 18 years with isolated moderate-to-severe TBI (Abbreviated Injury Scale (AIS) head ≥ 3) was conducted at the University Medical Center Rotterdam (UMC-R) and the University Medical Center Utrecht (UMC-U). Demographics, radiologic injury characteristics, clinical outcomes, and functional outcomes at 3-6 months post-discharge were collected. RESULTS The study population included 596 patients (UMC-R: n = 326; UMC-U: n = 270). There were no statistical differences in age, gender, mechanism of injury, and radiologic parameters between both institutes. UMC-R patients had a higher AIShead (UMC-R: 5 [4-5] vs. UMC-U: 4 [4-5], p < 0.001). There was no difference in the prehospital Glasgow Coma Scale (GCS). However, UMC-R patients had lower GCSs in the Emergency Department and used more prehospital sedation. Total in-hospital mortality was 29% (n = 170), of which 71% (n = 123) occurred after WLST. Two percent (n = 10) remained in unresponsive wakefulness syndrome (UWS) state during follow-up. DISCUSSION This study demonstrated a high WLST rate among deceased patients with isolated TBI. Demographics and outcomes were similar for both centers even though AIShead was significantly higher in UMC-R patients. Possibly, prehospital sedation might have influenced AIS coding. Few patients persisted in UWS. Further research is needed on WLST patients in a broader spectrum of ethics, culture, and complex medical profiles, as it is a growing practice in modern critical care. LEVEL OF EVIDENCE Level III, retrospective cohort study.
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Affiliation(s)
- Menco J S Niemeyer
- Department of Trauma Surgery, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
| | - Denise Jochems
- Department of Trauma Surgery, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Jan C Van Ditshuizen
- Trauma Research Unit, Department of Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Trauma Center Southwest Netherlands, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Janneke de Kanter
- Department of Radiology, UMC Division Imaging and Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lotte Cremers
- Department of Radiology, Jeroen Bosch Hospital, 's Hertogenbosch, The Netherlands
| | - Martijn van Hattem
- Department of Radiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Dennis Den Hartog
- Trauma Research Unit, Department of Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Trauma Center Southwest Netherlands, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Roderick Marijn Houwert
- Department of Trauma Surgery, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Luke P H Leenen
- Department of Trauma Surgery, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Karlijn J P van Wessem
- Department of Trauma Surgery, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
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13
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van Erp IA, van Essen T, Kompanje EJ, van der Jagt M, Moojen WA, Peul WC, van Dijck JT. Treatment-limiting decisions in patients with severe traumatic brain injury in the Netherlands. BRAIN & SPINE 2024; 4:102746. [PMID: 38510637 PMCID: PMC10951765 DOI: 10.1016/j.bas.2024.102746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 11/28/2023] [Accepted: 01/03/2024] [Indexed: 03/22/2024]
Abstract
Introduction Treatment-limiting decisions (TLDs) can be inevitable severe traumatic brain injury (s-TBI) patients, but data on their use remain scarce. Research question To investigate the prevalence, timing and considerations of TLDs in s-TBI patients. Material and methods s-TBI patients between 2008 and 2017 were analysed retrospecively. Patient data, timing, location, involvement of proxies, and reasons for TLDs were collected. Baseline characteristics and in-hospital outcomes were compared between s-TBI patients with and without TLDs. Results TLDs were reported in 117 of 270 s-TBI patients (43.3%) and 95.9% of deaths after s-TBI were preceded by a TLD. The majority of TLDs (68.4%) were categorized as withdrawal of therapy, of which withdrawal of organ-support in 64.1%. Neurosurgical intervention was withheld in 29.9%. The median time from admission to TLD was 2 days [IQR, 0-8] and 50.4% of TLDs were made within 3 days of admission. The main reason for a TLD was that the patients were perceived as unsalvageable (66.7%). Nearly all decisions were made multidisciplinary (99.1%) with proxies involvement (75.2%). The predicted mortality (CRASH-score) between patients with and without TLDs were 72.6 vs. 70.6%. The percentage of TLDs in s-TBI patients increased from 20.0% in 2008 to 42.9% in 2012 and 64.3% in 2017. Discussion and conclusion TLDs occurred in almost half of s-TBI patients and were instituted more frequently over time. Half of TLDs were made within 3 days of admission in spite of baseline prognosis between groups being similar. Future research should address whether prognostic nihilism contributes to self-fulfilling prophecies.
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Affiliation(s)
- Inge A.M. van Erp
- University Neurosurgical Center Holland, Leiden University Medical Center, Haaglanden Medical Center and HaGa Hospital, Leiden and The Hague, the Netherlands
| | - T.A. van Essen
- University Neurosurgical Center Holland, Leiden University Medical Center, Haaglanden Medical Center and HaGa Hospital, Leiden and The Hague, the Netherlands
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge and Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Erwin J.O. Kompanje
- Department of Intensive Care Adults, Erasmus MC – University Medical Center, Rotterdam, the Netherlands
- Department of Ethics and Philosophy of Medicine, Erasmus MC – University Medical Center, Rotterdam, the Netherlands
| | - Mathieu van der Jagt
- Department of Intensive Care Adults, Erasmus MC – University Medical Center, Rotterdam, the Netherlands
| | - Wouter A. Moojen
- University Neurosurgical Center Holland, Leiden University Medical Center, Haaglanden Medical Center and HaGa Hospital, Leiden and The Hague, the Netherlands
| | - Wilco C. Peul
- University Neurosurgical Center Holland, Leiden University Medical Center, Haaglanden Medical Center and HaGa Hospital, Leiden and The Hague, the Netherlands
| | - Jeroen T.J.M. van Dijck
- University Neurosurgical Center Holland, Leiden University Medical Center, Haaglanden Medical Center and HaGa Hospital, Leiden and The Hague, the Netherlands
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14
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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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15
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Sullivan MD, Owattanapanich N, Schellenberg M, Matsushima K, Lewis MR, Lam L, Martin M, Inaba K. Examining the independent risk factors for withdrawal of life sustaining treatment in trauma patients. Injury 2023; 54:111088. [PMID: 37833232 DOI: 10.1016/j.injury.2023.111088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 10/02/2023] [Indexed: 10/15/2023]
Abstract
INTRODUCTION Withdrawal of life sustaining treatment (WLST) occurs when medical intervention no longer benefits a patient's acute goals for care. The incidence of WLST in the trauma patient population is not well understood. The purpose of this study was to examine the incidence and independent risk factors associated with WLST. METHODS The Trauma Quality Improvement Program (2017-2018) was utilized. Patients arrived without signs of life or without mortality or WLST data were excluded. Demographics, injury data, and outcomes were analyzed. Categorical variables are presented as number (percentage) and continuous variables as median [interquartile range]. WLST and non-WLST patients were compared. Early (<24 h) WLST patients were compared to all other WLST patients. RESULTS Of 749,754 patients, 35,464 (4.7 %) died. Of these, 19,424 (2.6 %) died after WLST, constituting 54.8 % of all deaths. Median age was 67 [50-79], 67.6 % male, 17,557 (90.4 %) blunt injuries, 11,334 (58.4 %) GCS < 9. Median ISS 26 [17-30]. Median head AIS 4 (3-5). The WLST group had a much higher incidence of elderly (60+) patients (65.1% vs 41.0 %), blunt mechanism of injury (90.4% vs 76.9 %) and hypertension (43.5% vs 26.5 %). Black patients (8.2% vs 19.5 %) and Hispanic patients (7.9% vs 12.2 %) were less likely to undergo WLST. On multivariate analysis, patients 80+ years old (OR 12.939, p < 0.001), GCS < 9 (OR 15.621, p < 0.001), and head AIS = 5, head AIS = 6 (OR 3.886, p < 0.001 and OR 5.283, p < 0.001) were independently associated with WLST. GCS < 9 (OR 4.006, p < 0.001) and penetrating injury (OR 2.825, p < 0.001) were independently associated with early WLST within 24 h. CONCLUSIONS More than half who die from trauma undergo withdrawal of life sustaining treatment. Elderly patients and those with severe TBI and low GCS scores are at high risk of experiencing withdrawal of life sustaining treatment. Further prospective evaluation is warranted.
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Affiliation(s)
- Michael D Sullivan
- Division of Trauma and Surgical Critical Care, Los Angeles General Medical Center, Keck School of Medicine of the University of Southern California, 2051 Marengo St C5L100, Los Angeles, CA, USA
| | - Natthida Owattanapanich
- Division of Trauma and Surgical Critical Care, Los Angeles General Medical Center, Keck School of Medicine of the University of Southern California, 2051 Marengo St C5L100, Los Angeles, CA, USA
| | - Morgan Schellenberg
- Division of Trauma and Surgical Critical Care, Los Angeles General Medical Center, Keck School of Medicine of the University of Southern California, 2051 Marengo St C5L100, Los Angeles, CA, USA
| | - Kazuhide Matsushima
- Division of Trauma and Surgical Critical Care, Los Angeles General Medical Center, Keck School of Medicine of the University of Southern California, 2051 Marengo St C5L100, Los Angeles, CA, USA
| | - Meghan R Lewis
- Division of Trauma and Surgical Critical Care, Los Angeles General Medical Center, Keck School of Medicine of the University of Southern California, 2051 Marengo St C5L100, Los Angeles, CA, USA
| | - Lydia Lam
- Division of Trauma and Surgical Critical Care, Los Angeles General Medical Center, Keck School of Medicine of the University of Southern California, 2051 Marengo St C5L100, Los Angeles, CA, USA
| | - Matthew Martin
- Division of Trauma and Surgical Critical Care, Los Angeles General Medical Center, Keck School of Medicine of the University of Southern California, 2051 Marengo St C5L100, Los Angeles, CA, USA
| | - Kenji Inaba
- Division of Trauma and Surgical Critical Care, Los Angeles General Medical Center, Keck School of Medicine of the University of Southern California, 2051 Marengo St C5L100, Los Angeles, CA, USA.
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Miranda SP, Morris RS, Rabas M, Creutzfeldt CJ, Cooper Z. Early Shared Decision-Making for Older Adults with Traumatic Brain Injury: Using Time-Limited Trials and Understanding Their Limitations. Neurocrit Care 2023; 39:284-293. [PMID: 37349599 DOI: 10.1007/s12028-023-01764-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 05/11/2023] [Indexed: 06/24/2023]
Abstract
Older adults account for a disproportionate share of the morbidity and mortality after traumatic brain injury (TBI). Predicting functional and cognitive outcomes for individual older adults after TBI is challenging in the acute phase of injury. Given that neurologic recovery is possible and uncertain, life-sustaining therapy may be pursued initially, even if for some, there is a risk of survival to an undesired level of disability or dependence. Experts recommend early conversations about goals of care after TBI, but evidence-based guidelines for these discussions or for the optimal method for communicating prognosis are limited. The time-limited trial (TLT) model may be an effective strategy for managing prognostic uncertainty after TBI. TLTs can provide a framework for early management: specific treatments or procedures are used for a defined period of time while monitoring for an agreed-upon outcome. Outcome measures, including signs of worsening and improvement, are defined at the outset of the trial. In this Viewpoint article, we discuss the use of TLTs for older adults with TBI, their potential benefits, and current challenges to their application. Three main barriers limit the implementation of TLTs in these scenarios: inadequate models for prognostication; cognitive biases faced by clinicians and surrogate decision-makers, which may contribute to prognostic discordance; and ambiguity regarding appropriate endpoints for the TLT. Further study is needed to understand clinician behaviors and surrogate preferences for prognostic communication and how to optimally integrate TLTs into the care of older adults with TBI.
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Affiliation(s)
- Stephen P Miranda
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, USA.
- Perelman Center for Advanced Medicine, 15 South Tower, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA.
| | - Rachel S Morris
- Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Mackenzie Rabas
- Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | | | - Zara Cooper
- Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA
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Bhattacharyay S, Caruso PF, Åkerlund C, Wilson L, Stevens RD, Menon DK, Steyerberg EW, Nelson DW, Ercole A. Mining the contribution of intensive care clinical course to outcome after traumatic brain injury. NPJ Digit Med 2023; 6:154. [PMID: 37604980 PMCID: PMC10442346 DOI: 10.1038/s41746-023-00895-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 08/01/2023] [Indexed: 08/23/2023] Open
Abstract
Existing methods to characterise the evolving condition of traumatic brain injury (TBI) patients in the intensive care unit (ICU) do not capture the context necessary for individualising treatment. Here, we integrate all heterogenous data stored in medical records (1166 pre-ICU and ICU variables) to model the individualised contribution of clinical course to 6-month functional outcome on the Glasgow Outcome Scale -Extended (GOSE). On a prospective cohort (n = 1550, 65 centres) of TBI patients, we train recurrent neural network models to map a token-embedded time series representation of all variables (including missing values) to an ordinal GOSE prognosis every 2 h. The full range of variables explains up to 52% (95% CI: 50-54%) of the ordinal variance in functional outcome. Up to 91% (95% CI: 90-91%) of this explanation is derived from pre-ICU and admission information (i.e., static variables). Information collected in the ICU (i.e., dynamic variables) increases explanation (by up to 5% [95% CI: 4-6%]), though not enough to counter poorer overall performance in longer-stay (>5.75 days) patients. Highest-contributing variables include physician-based prognoses, CT features, and markers of neurological function. Whilst static information currently accounts for the majority of functional outcome explanation after TBI, data-driven analysis highlights investigative avenues to improve the dynamic characterisation of longer-stay patients. Moreover, our modelling strategy proves useful for converting large patient records into interpretable time series with missing data integration and minimal processing.
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Affiliation(s)
- Shubhayu Bhattacharyay
- Division of Anaesthesia, University of Cambridge, Cambridge, UK.
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
- Laboratory of Computational Intensive Care Medicine, Johns Hopkins University, Baltimore, MD, USA.
| | - Pier Francesco Caruso
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, Milan, 20072, Italy
| | - Cecilia Åkerlund
- Department of Physiology and Pharmacology, Section for Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden
| | - Lindsay Wilson
- Division of Psychology, University of Stirling, Stirling, UK
| | - Robert D Stevens
- Laboratory of Computational Intensive Care Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - David K Menon
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
| | - Ewout W Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - David W Nelson
- Department of Physiology and Pharmacology, Section for Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden
| | - Ari Ercole
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
- Cambridge Centre for Artificial Intelligence in Medicine, Cambridge, UK
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18
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Alkhachroum A, Zhou L, Asdaghi N, Gardener H, Ying H, Gutierrez CM, Manolovitz BM, Samano D, Bass D, Foster D, Sur NB, Rose DZ, Jameson A, Massad N, Kottapally M, Merenda A, Starke RM, O'Phelan K, Romano JG, Claassen J, Sacco RL, Rundek T. Predictors and Temporal Trends of Withdrawal of Life-Sustaining Therapy After Acute Stroke in the Florida Stroke Registry. Crit Care Explor 2023; 5:e0934. [PMID: 37378082 PMCID: PMC10292735 DOI: 10.1097/cce.0000000000000934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2023] Open
Abstract
Temporal trends and factors associated with the withdrawal of life-sustaining therapy (WLST) after acute stroke are not well determined. DESIGN Observational study (2008-2021). SETTING Florida Stroke Registry (152 hospitals). PATIENTS Acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) patients. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Importance plots were performed to generate the most predictive factors of WLST. Area under the curve (AUC) for the receiver operating curve were generated for the performance of logistic regression (LR) and random forest (RF) models. Regression analysis was applied to evaluate temporal trends. Among 309,393 AIS patients, 47,485 ICH patients, and 16,694 SAH patients; 9%, 28%, and 19% subsequently had WLST. Patients who had WLST were older (77 vs 70 yr), more women (57% vs 49%), White (76% vs 67%), with greater stroke severity on the National Institutes of Health Stroke Scale greater than or equal to 5 (29% vs 19%), more likely hospitalized in comprehensive stroke centers (52% vs 44%), had Medicare insurance (53% vs 44%), and more likely to have impaired level of consciousness (38% vs 12%). Most predictors associated with the decision to WLST in AIS were age, stroke severity, region, insurance status, center type, race, and level of consciousness (RF AUC of 0.93 and LR AUC of 0.85). Predictors in ICH included age, impaired level of consciousness, region, race, insurance status, center type, and prestroke ambulation status (RF AUC of 0.76 and LR AUC of 0.71). Factors in SAH included age, impaired level of consciousness, region, insurance status, race, and stroke center type (RF AUC of 0.82 and LR AUC of 0.72). Despite a decrease in the rates of early WLST (< 2 d) and mortality, the overall rates of WLST remained stable. CONCLUSIONS In acute hospitalized stroke patients in Florida, factors other than brain injury alone contribute to the decision to WLST. Potential predictors not measured in this study include education, culture, faith and beliefs, and patient/family and physician preferences. The overall rates of WLST have not changed in the last 2 decades.
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Affiliation(s)
| | - Lili Zhou
- Department of Neurology, University of Miami, Miami, FL
| | - Negar Asdaghi
- Department of Neurology, University of Miami, Miami, FL
| | | | - Hao Ying
- Department of Neurology, University of Miami, Miami, FL
| | | | | | - Daniel Samano
- Department of Neurology, University of Miami, Miami, FL
| | - Danielle Bass
- Department of Neurology, University of Miami, Miami, FL
| | - Dianne Foster
- Regional Director Quality Improvement, American Heart Association, Dallas, TX
| | - Nicole B Sur
- Department of Neurology, University of Miami, Miami, FL
| | - David Z Rose
- Department of Neurology, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Angus Jameson
- Department of Emergency Medicine, Pinellas County Emergency Medical Services, Largo, FL
| | - Nina Massad
- Department of Neurology, University of Miami, Miami, FL
| | | | | | - Robert M Starke
- Department of Neurological Surgery, University of Miami, Miami, FL
| | | | - Jose G Romano
- Department of Neurology, University of Miami, Miami, FL
| | - Jan Claassen
- Department of Neurology, Columbia University, New York, NY
| | - Ralph L Sacco
- Department of Neurology, University of Miami, Miami, FL
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19
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van der Jagt M, Robba C, Skrifvars MB. Unlocking consciousness through right median nerve stimulation. Has a potential cure arrived at our doorstep? Intensive Care Med 2023; 49:659-661. [PMID: 37210686 PMCID: PMC10199817 DOI: 10.1007/s00134-023-07097-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 05/08/2023] [Indexed: 05/22/2023]
Affiliation(s)
- Mathieu van der Jagt
- Department of Intensive Care Adults, Erasmus MC-University Medical Centre, Rotterdam, The Netherlands.
| | - Chiara Robba
- IRCCS Policlinico San Martino, Genoa, Italy
- Dipartimento di Scienze Chirurgiche Diagnostiche Integrate, University of Genoa, Genoa, Italy
| | - Markus B Skrifvars
- Department of Emergency Care and Services, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
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20
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Lewis A. International variability in the diagnosis and management of disorders of consciousness. Presse Med 2023; 52:104162. [PMID: 36564000 DOI: 10.1016/j.lpm.2022.104162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 10/31/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022] Open
Abstract
This manuscript explores the international variability in the diagnosis and management of disorders of consciousness (DoC). The identification, evaluation, intervention, exploration, prognostication and limitation of therapy for patients with DoC is reviewed through an international lens. The myriad factors that impact the diagnosis and management of DoC including 1) financial, 2) legal and regulatory, 3) cultural, 4) religious and 5) psychosocial considerations are discussed. As data comparing patients with DoC internationally are limited, findings from the general critical care or neurocritical care literature are described when information specific to patients with DoC is unavailable. There is a need for improvements in clinical care, education, advocacy and research related to patients with DoC worldwide. It is imperative to standardize methodology to evaluate consciousness and prognosticate outcome. Further, education is needed to 1) generate awareness of the impact of the aforementioned considerations on patients with DoC and 2) develop techniques to optimize communication about DoC with families. It is necessary to promote equity in access to expertise and resources for patients with DoC to enhance the care of patients with DoC worldwide. Improving understanding and management of patients with DoC requires harmonization of existing datasets, development of registries where none exist and establishment of international clinical trial networks that include patients in all phases along the spectrum of care. The work of international organizations like the Curing Coma Campaign can hopefully minimize international variability in the diagnosis and management of DoC and optimize care.
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Affiliation(s)
- Ariane Lewis
- Departments of Neurology and Neurosurgery, NYU Langone Medical Center, New York, NY, United States.
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21
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Wu X, Xie L, Lei J, Yao J, Li J, Ruan L, Hong J, Zheng G, Cheng Y, Long L, Wang J, Huang C, Xie Q, Zhang X, He J, Yu X, Lv S, Sun Z, Liu D, Li X, Zhu J, Yang X, Wang D, Bao Y, Maas AIR, Menon D, Xue Y, Jiang J, Feng J, Gao G. Acute traumatic coma awakening by right median nerve electrical stimulation: a randomised controlled trial. Intensive Care Med 2023; 49:633-644. [PMID: 37178149 PMCID: PMC10182548 DOI: 10.1007/s00134-023-07072-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 04/11/2023] [Indexed: 05/15/2023]
Abstract
PURPOSE Severe traumatic brain injury (TBI) leads to acute coma and may result in prolonged disorder of consciousness (pDOC). We aimed to determine whether right median nerve electrical stimulation is a safe and effective treatment for accelerating emergence from coma after TBI. METHODS This randomised controlled trial was performed in 22 centres in China. Participants with acute coma at 7-14 days after TBI were randomly assigned (1:1) to either routine therapy and right median nerve electrical stimulation (RMNS group) or routine treatment (control group). The RMNS group received 20 mA, 300 μs, 40 Hz stimulation pulses, lasting 20 s per minutes, 8 h per day, for 2 weeks. The primary outcome was the proportion of patients who regained consciousness 6 months post-injury. The secondary endpoints were Glasgow Coma Scale (GCS), Full Outline of Unresponsiveness scale (FOUR), Coma Recovery Scale-Revised (CRS-R), Disability Rating Scale (DRS) and Glasgow Outcome Scale Extended (GOSE) scores reported as medians on day 28, 3 months and 6 months after injury, and GCS and FOUR scores on day 1 and day 7 during stimulation. Primary analyses were based on the intention-to-treat set. RESULTS Between March 26, 2016, and October 18, 2020, 329 participants were recruited, of whom 167 were randomised to the RMNS group and 162 to the control group. At 6 months post-injury, a higher proportion of patients in the RMNS group regained consciousness compared with the control group (72.5%, n = 121, 95% confidence interval (CI) 65.2-78.7% vs. 56.8%, n = 92, 95% CI 49.1-64.2%, p = 0.004). GOSE at 3 months and 6 months (5 [interquartile range (IQR) 3-7] vs. 4 [IQR 2-6], p = 0.002; 6 [IQR 3-7] vs. 4 [IQR 2-7], p = 0.0005) and FOUR at 28 days (15 [IQR 13-16] vs. 13 [interquartile range (IQR) 11-16], p = 0.002) were significantly increased in the RMNS group compared with the control group. Trajectory analysis showed that significantly more patients in the RMNS group had faster GCS, CRS-R and DRS improvement (p = 0.01, 0.004 and 0.04, respectively). Adverse events were similar in both groups. No serious adverse events were associated with the stimulation device. CONCLUSION Right median nerve electrical stimulation is a possible effective treatment for patients with acute traumatic coma, that will require validation in a confirmatory trial.
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Affiliation(s)
- Xiang Wu
- Department of Neurosurgery, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Li Xie
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jin Lei
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College of HUST, Wuhan, China
| | - Jiemin Yao
- Department of Neurosurgery, The Second People's Hospital of Nanning, Nanning, China
| | - Jiarong Li
- Department of Neurosurgery, Guangdong Provincial Hospital of Integrated Traditional Chinese and Western Medicine, Foshan, China
| | - Lixin Ruan
- Department of Neurosurgery, The People's Hospital of PingYang, Pingyang, China
| | - Jun Hong
- Department of Neurosurgery, Tangshan Gongren Hospital, Tangshan, China
| | - Guodong Zheng
- Department of Neurosurgery, Linyi People's Hospital, Linyi, China
| | - Yangyu Cheng
- Department of Neurosurgery, Changzhi Second People's Hospital, Changzhi, China
| | - Liansheng Long
- Department of Neurosurgery, South Taihu Hospital, Huzhou, China
| | - Jiancun Wang
- Department of Neurosurgery, The Third Affiliated Hospital of PLA Navy Military Medical University, Shanghai, China
| | - Chuanping Huang
- Department of Neurosurgery, The 421st Hospital of Chinese People's Liberation Army, Guangzhou, China
| | - Qiuyou Xie
- Department of Neurosurgery, Guangzhou General Hospital of Guangzhou Military Region, Guangzhou, China
| | - Xuelei Zhang
- Department of Neurosurgery, Lishui City People's Hospital, Lishui, China
| | - Jianghong He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China
| | - Xuebin Yu
- Department of Neurosurgery, Shaoxing People's Hospital, Shaoxing, China
| | - Shouhua Lv
- Department of Neurosurgery, Tengzhou City Center People's Hospital, Tengzhou, China
| | - Zhaosheng Sun
- Department of Neurosurgery, Harrison International Peace Hospital, Hengshui, China
| | - Dai Liu
- Department of Neurosurgery, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian, China
| | - Xin Li
- Department of Neurosurgery, The Brain Hospital of Hunan Province, Changsha, China
| | - Jianxin Zhu
- Department of Neurosurgery, Liaocheng Brain Hospital, Liaocheng, China
| | - Xiaoliang Yang
- Department of Neurosurgery, Baoji 3rd Hospital of Chinese People's Liberation Army, Baoji, China
| | - Dongdong Wang
- Department of Neurosurgery, Yanjiao People's Hospital, Sanhe, China
| | - Yijun Bao
- Department of Neurosurgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Andrew I R Maas
- Department of Neurosurgery, Antwerp University Hospital, Edegem, Belgium
- University of Antwerp, Edegem, Belgium
| | - David Menon
- Division of Anesthesia, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Yajun Xue
- Department of Neurosurgery, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jiyao Jiang
- Brain Injury Centre, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Head Trauma, Shanghai, China
| | - Junfeng Feng
- Brain Injury Centre, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Head Trauma, Shanghai, China
| | - Guoyi Gao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People's Republic of China.
- Department of Neurosurgery, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
- Shanghai Institute of Head Trauma, Shanghai, China.
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22
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Maas AIR, Hemphill JC, Wilson L, Manley GT. Managing outcome expectations after Traumatic Brain Injury. Injury 2023; 54:1233-1235. [PMID: 37055145 DOI: 10.1016/j.injury.2023.03.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Affiliation(s)
- Andrew I R Maas
- Antwerp University Hospital, Edegem, and University of Antwerp, Edegem, Belgium.
| | - J Claude Hemphill
- Department of Neurology, University of California, San Francisco; Building 1, Room 101, 1001 Potrero Avenue, San Francisco, CA, 94110, United States of America; Department of Neurological Surgery, University of California, San Francisco, Brain & Spinal Injury Center, 1001 Potrero Avenue, San Francisco, CA, 94110, United States of America
| | - Lindsay Wilson
- Division of Psychology, School of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, Brain & Spinal Injury Center, 1001 Potrero Avenue, San Francisco, CA, 94110, United States of America
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23
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Younsi A, Unterberg A, Marzi I, Steudel WI, Uhl E, Lemcke J, Berg F, Woschek M, Friedrich M, Clusmann H, Hamou HA, Mauer UM, Scheer M, Meixensberger J, Lindner D, Schmieder K, Gierthmuehlen M, Hoefer C, Nienaber U, Maegele M. Development and first results of a national databank on care and treatment outcome after traumatic brain injury. Eur J Trauma Emerg Surg 2023; 49:1171-1181. [PMID: 37022377 DOI: 10.1007/s00068-023-02260-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 03/12/2023] [Indexed: 04/07/2023]
Abstract
PURPOSE In absence of comprehensive data collection on traumatic brain injury (TBI), the German Society for Neurosurgery (DGNC) and the German Society for Trauma Surgery (DGU) developed a TBI databank for German-speaking countries. METHODS From 2016 to 2020, the TBI databank DGNC/DGU was implemented as a module of the TraumaRegister (TR) DGU and tested in a 15-month pilot phase. Since its official launch in 2021, patients from the TR-DGU (intermediate or intensive care unit admission via shock room) with TBI (AIS head ≥ 1) can be enrolled. A data set of > 300 clinical, imaging, and laboratory variables, harmonized with other international TBI data collection structures is documented, and the treatment outcome is evaluated after 6- and 12 months. RESULTS For this analysis, 318 patients in the TBI databank could be included (median age 58 years; 71% men). Falls were the most common cause of injury (55%), and antithrombotic medication was frequent (28%). Severe or moderate TBI were only present in 55% of patients, while 45% suffered a mild injury. Nevertheless, intracranial pathologies were present in 95% of brain imaging with traumatic subarachnoid hemorrhages (76%) being the most common. Intracranial surgeries were performed in 42% of cases. In-hospital mortality after TBI was 21% and surviving patients could be discharged after a median hospital stay of 11 days. At the 6-and 12 months follow-up, a favorable outcome was achieved by 70% and 90% of the participating TBI patients, respectively. Compared to a European cohort of 2138 TBI patients treated in the ICU between 2014 and 2017, patients in the TBI databank were already older, frailer, fell more commonly at home. CONCLUSION Within five years, the TBI databank DGNC/DGU of the TR-DGU could be established and is since then prospectively enrolling TBI patients in German-speaking countries. With its large and harmonized data set and a 12-month follow-up, the TBI databank is a unique project in Europe, already allowing comparisons to other data collection structures and indicating a demographic change towards older and frailer TBI patients in Germany.
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Affiliation(s)
- Alexander Younsi
- Neurochirurgische Klinik, Universitätsklinikum Heidelberg, INF 400, 69120, Heidelberg, Germany.
| | - Andreas Unterberg
- Neurochirurgische Klinik, Universitätsklinikum Heidelberg, INF 400, 69120, Heidelberg, Germany
| | - Ingo Marzi
- Klinik für Unfall-, Hand- und Wiederherstellungschirurgie, Universitätsklinikum, Johann Wolfgang-Goethe-Universität, Frankfurt am Main, Germany
| | | | - Eberhard Uhl
- Neurochirurgische Klinik, Universitätsklinikum Gießen und Marburg Standort Gießen, Giessen, Germany
| | - Johannes Lemcke
- Klinik für Neurochirurgie, BG Klinikum Unfallkrankenhaus Berlin, Warener Straße 7, 12683, Berlin, Germany
| | - Florian Berg
- Klinik für Neurochirurgie, BG Klinikum Unfallkrankenhaus Berlin, Warener Straße 7, 12683, Berlin, Germany
| | - Mathias Woschek
- Klinik für Unfall-, Hand- und Wiederherstellungschirurgie, Universitätsklinikum, Johann Wolfgang-Goethe-Universität, Frankfurt am Main, Germany
| | - Michaela Friedrich
- Neurochirurgische Klinik, Universitätsklinikum Gießen und Marburg Standort Gießen, Giessen, Germany
| | - Hans Clusmann
- Klinik für Neurochirurgie, Uniklinik RWTH Aachen, Aachen, Germany
| | | | - Uwe Max Mauer
- Neurochirurgische Klinik, Bundeswehrkrankenhaus Ulm, Ulm, Germany
| | - Magnus Scheer
- Neurochirurgische Klinik, Bundeswehrkrankenhaus Ulm, Ulm, Germany
| | - Jürgen Meixensberger
- Klinik und Poliklinik für Neurochirurgie, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Dirk Lindner
- Klinik und Poliklinik für Neurochirurgie, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Kirsten Schmieder
- Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH, Ruhr - Universität Bochum, In Der Schornau 23-35, 44892, Bochum, Germany
| | - Mortimer Gierthmuehlen
- Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH, Ruhr - Universität Bochum, In Der Schornau 23-35, 44892, Bochum, Germany
| | - Christine Hoefer
- Akademie der Unfallchirurgie GmbH, Emil-Riedel-Straße 5, 80538, Munich, Germany
| | - Ulrike Nienaber
- Akademie der Unfallchirurgie GmbH, Emil-Riedel-Straße 5, 80538, Munich, Germany
| | - Marc Maegele
- Klinik für Orthopädie, Unfallchirurgie und Sporttraumatologie, Klinikum Köln-Merheim, Institut für Forschung in der Operativen Medizin (IFOM), Universität Witten/Herdecke, Campus Köln-Merheim, Ostmerheimerstr. 200, 51109, Cologne, Germany
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24
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Wiles MD, Braganza M, Edwards H, Krause E, Jackson J, Tait F. Management of traumatic brain injury in the non-neurosurgical intensive care unit: a narrative review of current evidence. Anaesthesia 2023; 78:510-520. [PMID: 36633447 DOI: 10.1111/anae.15898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/07/2022] [Indexed: 01/13/2023]
Abstract
Each year, approximately 70 million people suffer traumatic brain injury, which has a significant physical, psychosocial and economic impact for patients and their families. It is recommended in the UK that all patients with traumatic brain injury and a Glasgow coma scale ≤ 8 should be transferred to a neurosurgical centre. However, many patients, especially those in whom neurosurgery is not required, are not treated in, nor transferred to, a neurosurgical centre. This review aims to provide clinicians who work in non-neurosurgical centres with a summary of contemporary studies relevant to the critical care management of patients with traumatic brain injury. A targeted literature review was undertaken that included guidelines, systematic reviews, meta-analyses, clinical trials and randomised controlled trials (published in English between 1 January 2017 and 1 July 2022). Studies involving key clinical management strategies published before this time, but which have not been updated or repeated, were also eligible for inclusion. Analysis of the topics identified during the review was then summarised. These included: fundamental critical care management approaches (including ventilation strategies, fluid management, seizure control and osmotherapy); use of processed electroencephalogram monitoring; non-invasive assessment of intracranial pressure; prognostication; and rehabilitation techniques. Through this process, we have formulated practical recommendations to guide clinical practice in non-specialist centres.
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Affiliation(s)
- M D Wiles
- Department of Critical Care, Major Trauma and Head Injuries, Sheffield Teaching Hospital NHS Foundation Trust, Sheffield, UK.,University of Sheffield Medical School, Sheffield, UK
| | - M Braganza
- Department of Intensive Care, Chesterfield Royal Hospital NHS Foundation Trust, Chesterfield, UK
| | - H Edwards
- Department of Neurosciences, Major Trauma and Head Injuries, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - E Krause
- Neurology and Stroke, Doncaster and Bassetlaw Teaching Hospitals NHS Foundation Trust, Doncaster, UK
| | - J Jackson
- Major Trauma and Head Injuries, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - F Tait
- Department of Anaesthesia, Northampton General Hospital NHS Trust, Northampton, UK
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25
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Ketharanathan N, Hunfeld MAW, de Jong MC, van der Zanden LJ, Spoor JKH, Wildschut ED, de Hoog M, Tibboel D, Buysse CMP. Withdrawal of Life-Sustaining Therapies in Children with Severe Traumatic Brain Injury. J Neurotrauma 2023. [PMID: 36475884 DOI: 10.1089/neu.2022.0321] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Neuroprognostication in severe traumatic brain injury (sTBI) is challenging and occurs in critical care settings to determine withdrawal of life-sustaining therapies (WLST). However, formal pediatric sTBI neuroprognostication guidelines are lacking, brain death criteria vary, and dilemmas regarding WLST persist, which lead to institutional differences. We studied WLST practice and outcome in pediatric sTBI to provide insight into WLST-associated factors and survivor recovery trajectory ≥1 year post-sTBI. This retrospective, single center observational study included patients <18 years admitted to the pediatric intensive care unit (PICU) of Erasmus MC-Sophia (a tertiary university hospital) between 2012 and 2020 with sTBI defined as a Glasgow Coma Scale (GCS) ≤8 and requiring intracranial pressure (ICP) monitoring. Clinical, neuroimaging, and electroencephalogram data were reviewed. Multi-disciplinary follow-up included the Pediatric Cerebral Performance Category (PCPC) score, educational level, and commonly cited complaints. Seventy-eight children with sTBI were included (median age 10.5 years; interquartile range [IQR] 5.0-14.1; 56% male; 67% traffic-related accidents). Median ICP monitoring was 5 days (IQR 3-8), 19 (24%) underwent decompressive craniectomy. PICU mortality was 21% (16/78): clinical brain death (5/16), WLST due to poor neurological prognosis (WLST_neuro, 11/16). Significant differences (p < 0.001) between survivors and non-survivors: first GCS score, first pupillary reaction and first lactate, Injury Severity Score, pre-hospital cardiopulmonary resuscitation, and Rotterdam CT (computed tomography) score. WLST_neuro decision timing ranged from 0 to 31 days (median 2 days, IQR 0-5). WLST_neuro decision (n = 11) was based on neurologic examination (100%), brain imaging (100%) and refractory intracranial hypertension (5/11; 45%). WLST discussions were multi-disciplinary with 100% agreement. Immediate agreement between medical team and caregivers was 81%. The majority (42/62, 68%) of survivors were poor outcome (PCPC score 3 to 5) at PICU discharge, of which 12 (19%) in a vegetative state. One year post-injury, no patients were in a vegetative state and the median PCPC score had improved to 2 (IQR 2-3). No patients died after PICU discharge. Twenty percent of survivors could not attend school 2 years post-injury. Survivors requiring an adjusted educational level increased to 45% within this timeframe. Chronic complaints were headache, behavioral problems, and sleeping problems. In conclusion, two-thirds of sTBI PICU mortality was secondary to WLST_neuro and occurred early post-injury. Median survivor PCPC score improved from 4 to 2 with no vegetative patients 1 year post-sTBI. Our findings show the WLST decision process was multi-disciplinary and guided by specific clinical features at presentation, clinical course, and (serial) neurological diagnostic modalities, of which the testing combination was determined by case-to-case variation. This stresses the need for international guidelines to provide accurate neuroprognostication within an appropriate timeframe whereby overall survivor outcome data provides valuable context and guidance in the acute phase decision process.
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Affiliation(s)
- Naomi Ketharanathan
- Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Maayke A W Hunfeld
- Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands
- Department of Pediatric Neurology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Marcus C de Jong
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Lineke J van der Zanden
- Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Jochem K H Spoor
- Department of Neurosurgery, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Enno D Wildschut
- Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Matthijs de Hoog
- Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Dick Tibboel
- Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Corinne M P Buysse
- Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands
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Eagle SR, Pease M, Nwachuku E, Deng H, Okonkwo DO. Prognostic Models for Traumatic Brain Injury Have Good Discrimination but Poor Overall Model Performance for Predicting Mortality and Unfavorable Outcomes. Neurosurgery 2023; 92:137-143. [PMID: 36173200 DOI: 10.1227/neu.0000000000002150] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 07/15/2022] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND The most extensively validated prognostic models for traumatic brain injury (TBI) are the Corticoid Randomization after Significant Head Injury (CRASH) and International Mission on Prognosis and Analysis of Clinical Trials (IMPACT). Model characteristics outside of area under the curve (AUC) are rarely reported. OBJECTIVE To report the discriminative validity and overall model performance of the CRASH and IMPACT models for prognosticating death at 14 days (CRASH) and 6 months (IMPACT) and unfavorable outcomes at 6 months after TBI. METHODS This retrospective cohort study included prospectively collected patients with severe TBI treated at a single level I trauma center (n = 467). CRASH and IMPACT percent risk values for the given outcome were computed. Unfavorable outcome was defined as a Glasgow Outcome Scale-Extended score of 1 to 4 at 6 months. Binary logistic regressions and receiver operating characteristic analyses were used to differentiate patients from the CRASH and IMPACT prognostic models. RESULTS All models had low R 2 values (0.17-0.23) with AUC values from 0.77 to 0.81 and overall accuracies ranging from 72.4% to 78.3%. Sensitivity (35.3-50.0) and positive predictive values (66.7-69.2) were poor in the CRASH models, while specificity (52.3-53.1) and negative predictive values (58.1-63.6) were poor in IMPACT models. All models had unacceptable false positive rates (20.8%-33.3%). CONCLUSION Our results were consistent with previous literature regarding discriminative validity (AUC = 0.77-0.81). However, accuracy and false positive rates of both the CRASH and IMPACT models were poor.
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Affiliation(s)
- Shawn R Eagle
- Department of Neurological Surgery, University of Pittsburgh, 3550 Terrace St
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27
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Launey Y, Coquet A, Lasocki S, Dahyot-Fizelier C, Huet O, Le Pabic E, Roquilly A, Seguin P. Factors associated with an unfavourable outcome in elderly intensive care traumatic brain injury patients. a retrospective multicentre study. BMC Geriatr 2022; 22:1004. [PMID: 36585608 PMCID: PMC9801582 DOI: 10.1186/s12877-022-03651-x] [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: 05/04/2022] [Accepted: 11/24/2022] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Changes in the epidemiology of traumatic brain injury (TBI) in older patients have received attention, but limited data are available on the outcome of these patients after admission to intensive care units (ICUs). The aim of this study was to evaluate the outcomes of patients over 65 years of age who were admitted to an ICU for TBI. METHODS This was a multicentre, retrospective, observational study conducted from January 2013 to February 2019 in the surgical ICUs of 5 level 1 trauma centres in France. Patients aged ≥ 65 years who were hospitalized in the ICU for TBI with or without extracranial injuries were included. The main objective was to determine the risk factors for unfavourable neurological outcome at 3 months defined as an Extended Glasgow Outcome Scale (GOSE) score < 5. RESULTS Among the 349 intensive care patients analysed, the GOSE score at 3 months was ≤ 4 and ≥ 5 in 233 (67%) and 116 (33%) patients, respectively. The mortality rate at 3 months was 157/233 (67%), and only 7 patients (2%) fully recovered or had minor symptoms. Withdrawal or withholding of life-sustaining therapies in the ICU was identified in 140 patients (40.1%). Multivariate analysis showed that age (OR 1.09, CI 95% 1.04-1.14), male sex (OR 2.94, CI95% 1.70-5.11), baseline Glasgow Coma Scale score (OR 1.20, CI95% 1.13-1.29), injury severity score (ISS; OR 1.04, CI95% 1.02-1.06) and use of osmotherapy (OR 2.42, CI95% 1.26-4.65) were associated with unfavourable outcomes (AUC = 0.79, CI 95% [0.74-0.84]). According to multivariate analysis, the variables providing the best sensitivity and specificity were age ≥ 77 years, Glasgow Coma Scale score ≤ 9 and ISS ≥ 25 (AUC = 0.79, CI 95% [0.74-0.84]). CONCLUSIONS Among intensive care patients aged ≥ 65 years suffering from TBI, age (≥ 77 years), male sex, baseline Glasgow coma scale score (≤ 9), ISS (≥ 25) and use of osmotherapy were predictors of unfavourable neurological outcome. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT04651803. Registered 03/12/2020. Retrospectively registered.
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Affiliation(s)
- Y Launey
- grid.414271.5Service de Réanimation Chirurgicale. CHU de Rennes. Hôpital Pontchaillou. 2, Rue Henri Le Guilloux, 35033 Rennes Cedex, France
| | - A Coquet
- grid.414271.5Service de Réanimation Chirurgicale. CHU de Rennes. Hôpital Pontchaillou. 2, Rue Henri Le Guilloux, 35033 Rennes Cedex, France
| | - S Lasocki
- grid.411147.60000 0004 0472 0283Département d’Anesthésie Réanimation, CHU de Angers, Angers, France
| | - C Dahyot-Fizelier
- grid.411162.10000 0000 9336 4276Département d’Anesthésie Réanimation, CHU de Poitiers, Poitiers, France
| | - O Huet
- grid.411766.30000 0004 0472 3249Département d’Anesthésie Réanimation, CHU de Brest, Brest, France
| | - E Le Pabic
- grid.411154.40000 0001 2175 0984Centre d’Investigation Clinique, CHU de Rennes, 2 Rue Henri Le Guilloux, 35000 Rennes, France
| | - A Roquilly
- grid.277151.70000 0004 0472 0371Département d’Anesthésie Réanimation, CHU de Nantes, Nantes, France
| | - P Seguin
- grid.414271.5Service de Réanimation Chirurgicale. CHU de Rennes. Hôpital Pontchaillou. 2, Rue Henri Le Guilloux, 35033 Rennes Cedex, France
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28
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Traumatic Brain Injury in Different Age Groups. J Clin Med 2022; 11:jcm11226739. [PMID: 36431216 PMCID: PMC9695827 DOI: 10.3390/jcm11226739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022] Open
Abstract
Traumatic Brain Injury (TBI) is a global health burden [...].
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29
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Maas AIR, Menon DK, Manley GT, Abrams M, Åkerlund C, Andelic N, Aries M, Bashford T, Bell MJ, Bodien YG, Brett BL, Büki A, Chesnut RM, Citerio G, Clark D, Clasby B, Cooper DJ, Czeiter E, Czosnyka M, Dams-O’Connor K, De Keyser V, Diaz-Arrastia R, Ercole A, van Essen TA, Falvey É, Ferguson AR, Figaji A, Fitzgerald M, Foreman B, Gantner D, Gao G, Giacino J, Gravesteijn B, Guiza F, Gupta D, Gurnell M, Haagsma JA, Hammond FM, Hawryluk G, Hutchinson P, van der Jagt M, Jain S, Jain S, Jiang JY, Kent H, Kolias A, Kompanje EJO, Lecky F, Lingsma HF, Maegele M, Majdan M, Markowitz A, McCrea M, Meyfroidt G, Mikolić A, Mondello S, Mukherjee P, Nelson D, Nelson LD, Newcombe V, Okonkwo D, Orešič M, Peul W, Pisică D, Polinder S, Ponsford J, Puybasset L, Raj R, Robba C, Røe C, Rosand J, Schueler P, Sharp DJ, Smielewski P, Stein MB, von Steinbüchel N, Stewart W, Steyerberg EW, Stocchetti N, Temkin N, Tenovuo O, Theadom A, Thomas I, Espin AT, Turgeon AF, Unterberg A, Van Praag D, van Veen E, Verheyden J, Vyvere TV, Wang KKW, Wiegers EJA, Williams WH, Wilson L, Wisniewski SR, Younsi A, Yue JK, Yuh EL, Zeiler FA, Zeldovich M, Zemek R. Traumatic brain injury: progress and challenges in prevention, clinical care, and research. Lancet Neurol 2022; 21:1004-1060. [PMID: 36183712 PMCID: PMC10427240 DOI: 10.1016/s1474-4422(22)00309-x] [Citation(s) in RCA: 245] [Impact Index Per Article: 122.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 07/22/2022] [Indexed: 02/06/2023]
Abstract
Traumatic brain injury (TBI) has the highest incidence of all common neurological disorders, and poses a substantial public health burden. TBI is increasingly documented not only as an acute condition but also as a chronic disease with long-term consequences, including an increased risk of late-onset neurodegeneration. The first Lancet Neurology Commission on TBI, published in 2017, called for a concerted effort to tackle the global health problem posed by TBI. Since then, funding agencies have supported research both in high-income countries (HICs) and in low-income and middle-income countries (LMICs). In November 2020, the World Health Assembly, the decision-making body of WHO, passed resolution WHA73.10 for global actions on epilepsy and other neurological disorders, and WHO launched the Decade for Action on Road Safety plan in 2021. New knowledge has been generated by large observational studies, including those conducted under the umbrella of the International Traumatic Brain Injury Research (InTBIR) initiative, established as a collaboration of funding agencies in 2011. InTBIR has also provided a huge stimulus to collaborative research in TBI and has facilitated participation of global partners. The return on investment has been high, but many needs of patients with TBI remain unaddressed. This update to the 2017 Commission presents advances and discusses persisting and new challenges in prevention, clinical care, and research. In LMICs, the occurrence of TBI is driven by road traffic incidents, often involving vulnerable road users such as motorcyclists and pedestrians. In HICs, most TBI is caused by falls, particularly in older people (aged ≥65 years), who often have comorbidities. Risk factors such as frailty and alcohol misuse provide opportunities for targeted prevention actions. Little evidence exists to inform treatment of older patients, who have been commonly excluded from past clinical trials—consequently, appropriate evidence is urgently required. Although increasing age is associated with worse outcomes from TBI, age should not dictate limitations in therapy. However, patients injured by low-energy falls (who are mostly older people) are about 50% less likely to receive critical care or emergency interventions, compared with those injured by high-energy mechanisms, such as road traffic incidents. Mild TBI, defined as a Glasgow Coma sum score of 13–15, comprises most of the TBI cases (over 90%) presenting to hospital. Around 50% of adult patients with mild TBI presenting to hospital do not recover to pre-TBI levels of health by 6 months after their injury. Fewer than 10% of patients discharged after presenting to an emergency department for TBI in Europe currently receive follow-up. Structured follow-up after mild TBI should be considered good practice, and urgent research is needed to identify which patients with mild TBI are at risk for incomplete recovery. The selection of patients for CT is an important triage decision in mild TBI since it allows early identification of lesions that can trigger hospital admission or life-saving surgery. Current decision making for deciding on CT is inefficient, with 90–95% of scanned patients showing no intracranial injury but being subjected to radiation risks. InTBIR studies have shown that measurement of blood-based biomarkers adds value to previously proposed clinical decision rules, holding the potential to improve efficiency while reducing radiation exposure. Increased concentrations of biomarkers in the blood of patients with a normal presentation CT scan suggest structural brain damage, which is seen on MR scanning in up to 30% of patients with mild TBI. Advanced MRI, including diffusion tensor imaging and volumetric analyses, can identify additional injuries not detectable by visual inspection of standard clinical MR images. Thus, the absence of CT abnormalities does not exclude structural damage—an observation relevant to litigation procedures, to management of mild TBI, and when CT scans are insufficient to explain the severity of the clinical condition. Although blood-based protein biomarkers have been shown to have important roles in the evaluation of TBI, most available assays are for research use only. To date, there is only one vendor of such assays with regulatory clearance in Europe and the USA with an indication to rule out the need for CT imaging for patients with suspected TBI. Regulatory clearance is provided for a combination of biomarkers, although evidence is accumulating that a single biomarker can perform as well as a combination. Additional biomarkers and more clinical-use platforms are on the horizon, but cross-platform harmonisation of results is needed. Health-care efficiency would benefit from diversity in providers. In the intensive care setting, automated analysis of blood pressure and intracranial pressure with calculation of derived parameters can help individualise management of TBI. Interest in the identification of subgroups of patients who might benefit more from some specific therapeutic approaches than others represents a welcome shift towards precision medicine. Comparative-effectiveness research to identify best practice has delivered on expectations for providing evidence in support of best practices, both in adult and paediatric patients with TBI. Progress has also been made in improving outcome assessment after TBI. Key instruments have been translated into up to 20 languages and linguistically validated, and are now internationally available for clinical and research use. TBI affects multiple domains of functioning, and outcomes are affected by personal characteristics and life-course events, consistent with a multifactorial bio-psycho-socio-ecological model of TBI, as presented in the US National Academies of Sciences, Engineering, and Medicine (NASEM) 2022 report. Multidimensional assessment is desirable and might be best based on measurement of global functional impairment. More work is required to develop and implement recommendations for multidimensional assessment. Prediction of outcome is relevant to patients and their families, and can facilitate the benchmarking of quality of care. InTBIR studies have identified new building blocks (eg, blood biomarkers and quantitative CT analysis) to refine existing prognostic models. Further improvement in prognostication could come from MRI, genetics, and the integration of dynamic changes in patient status after presentation. Neurotrauma researchers traditionally seek translation of their research findings through publications, clinical guidelines, and industry collaborations. However, to effectively impact clinical care and outcome, interactions are also needed with research funders, regulators, and policy makers, and partnership with patient organisations. Such interactions are increasingly taking place, with exemplars including interactions with the All Party Parliamentary Group on Acquired Brain Injury in the UK, the production of the NASEM report in the USA, and interactions with the US Food and Drug Administration. More interactions should be encouraged, and future discussions with regulators should include debates around consent from patients with acute mental incapacity and data sharing. Data sharing is strongly advocated by funding agencies. From January 2023, the US National Institutes of Health will require upload of research data into public repositories, but the EU requires data controllers to safeguard data security and privacy regulation. The tension between open data-sharing and adherence to privacy regulation could be resolved by cross-dataset analyses on federated platforms, with the data remaining at their original safe location. Tools already exist for conventional statistical analyses on federated platforms, however federated machine learning requires further development. Support for further development of federated platforms, and neuroinformatics more generally, should be a priority. This update to the 2017 Commission presents new insights and challenges across a range of topics around TBI: epidemiology and prevention (section 1 ); system of care (section 2 ); clinical management (section 3 ); characterisation of TBI (section 4 ); outcome assessment (section 5 ); prognosis (Section 6 ); and new directions for acquiring and implementing evidence (section 7 ). Table 1 summarises key messages from this Commission and proposes recommendations for the way forward to advance research and clinical management of TBI.
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Affiliation(s)
- Andrew I R Maas
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - David K Menon
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Mathew Abrams
- International Neuroinformatics Coordinating Facility, Karolinska Institutet, Stockholm, Sweden
| | - Cecilia Åkerlund
- Department of Physiology and Pharmacology, Section of Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden
| | - Nada Andelic
- Division of Clinical Neuroscience, Department of Physical Medicine and Rehabilitation, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Marcel Aries
- Department of Intensive Care, Maastricht UMC, Maastricht, Netherlands
| | - Tom Bashford
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Michael J Bell
- Critical Care Medicine, Neurological Surgery and Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Yelena G Bodien
- Department of Neurology and Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
| | - Benjamin L Brett
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - András Büki
- Department of Neurosurgery, Faculty of Medicine and Health Örebro University, Örebro, Sweden
- Department of Neurosurgery, Medical School; ELKH-PTE Clinical Neuroscience MR Research Group; and Neurotrauma Research Group, Janos Szentagothai Research Centre, University of Pecs, Pecs, Hungary
| | - Randall M Chesnut
- Department of Neurological Surgery and Department of Orthopaedics and Sports Medicine, University of Washington, Harborview Medical Center, Seattle, WA, USA
| | - Giuseppe Citerio
- School of Medicine and Surgery, Universita Milano Bicocca, Milan, Italy
- NeuroIntensive Care, San Gerardo Hospital, Azienda Socio Sanitaria Territoriale (ASST) Monza, Monza, Italy
| | - David Clark
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Betony Clasby
- Department of Sociological Studies, University of Sheffield, Sheffield, UK
| | - D Jamie Cooper
- School of Public Health and Preventive Medicine, Monash University and The Alfred Hospital, Melbourne, VIC, Australia
| | - Endre Czeiter
- Department of Neurosurgery, Medical School; ELKH-PTE Clinical Neuroscience MR Research Group; and Neurotrauma Research Group, Janos Szentagothai Research Centre, University of Pecs, Pecs, Hungary
| | - Marek Czosnyka
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Kristen Dams-O’Connor
- Department of Rehabilitation and Human Performance and Department of Neurology, Brain Injury Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Véronique De Keyser
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - Ramon Diaz-Arrastia
- Department of Neurology and Center for Brain Injury and Repair, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ari Ercole
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Thomas A van Essen
- Department of Neurosurgery, Leiden University Medical Center, Leiden, Netherlands
- Department of Neurosurgery, Medical Center Haaglanden, The Hague, Netherlands
| | - Éanna Falvey
- College of Medicine and Health, University College Cork, Cork, Ireland
| | - Adam R Ferguson
- Brain and Spinal Injury Center, Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco and San Francisco Veterans Affairs Healthcare System, San Francisco, CA, USA
| | - Anthony Figaji
- Division of Neurosurgery and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Melinda Fitzgerald
- Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
- Perron Institute for Neurological and Translational Sciences, Nedlands, WA, Australia
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati Gardner Neuroscience Institute, University of Cincinnati, Cincinnati, OH, USA
| | - Dashiell Gantner
- School of Public Health and Preventive Medicine, Monash University and The Alfred Hospital, Melbourne, VIC, Australia
| | - Guoyi Gao
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine
| | - Joseph Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School and Spaulding Rehabilitation Hospital, Charlestown, MA, USA
| | - Benjamin Gravesteijn
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Fabian Guiza
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Leuven, Belgium
| | - Deepak Gupta
- Department of Neurosurgery, Neurosciences Centre and JPN Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India
| | - Mark Gurnell
- Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Juanita A Haagsma
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Flora M Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Rehabilitation Hospital of Indiana, Indianapolis, IN, USA
| | - Gregory Hawryluk
- Section of Neurosurgery, GB1, Health Sciences Centre, University of Manitoba, Winnipeg, MB, Canada
| | - Peter Hutchinson
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Mathieu van der Jagt
- Department of Intensive Care, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health, University of California, San Diego, CA, USA
| | - Swati Jain
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Ji-yao Jiang
- Department of Neurosurgery, Shanghai Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hope Kent
- Department of Psychology, University of Exeter, Exeter, UK
| | - Angelos Kolias
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Erwin J O Kompanje
- Department of Intensive Care, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Fiona Lecky
- Centre for Urgent and Emergency Care Research, Health Services Research Section, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Hester F Lingsma
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Marc Maegele
- Cologne-Merheim Medical Center, Department of Trauma and Orthopedic Surgery, Witten/Herdecke University, Cologne, Germany
| | - Marek Majdan
- Institute for Global Health and Epidemiology, Department of Public Health, Faculty of Health Sciences and Social Work, Trnava University, Trnava, Slovakia
| | - Amy Markowitz
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Michael McCrea
- Department of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Geert Meyfroidt
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Leuven, Belgium
| | - Ana Mikolić
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Stefania Mondello
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - David Nelson
- Section for Anesthesiology and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Lindsay D Nelson
- Department of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Virginia Newcombe
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - David Okonkwo
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Matej Orešič
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Wilco Peul
- Department of Neurosurgery, Leiden University Medical Center, Leiden, Netherlands
| | - Dana Pisică
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Neurosurgery, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Suzanne Polinder
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jennie Ponsford
- Monash-Epworth Rehabilitation Research Centre, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Louis Puybasset
- Department of Anesthesiology and Intensive Care, APHP, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
| | - Rahul Raj
- Department of Neurosurgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Chiara Robba
- Department of Anaesthesia and Intensive Care, Policlinico San Martino IRCCS for Oncology and Neuroscience, Genova, Italy, and Dipartimento di Scienze Chirurgiche e Diagnostiche, University of Genoa, Italy
| | - Cecilie Røe
- Division of Clinical Neuroscience, Department of Physical Medicine and Rehabilitation, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | - David J Sharp
- Department of Brain Sciences, Imperial College London, London, UK
| | - Peter Smielewski
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Murray B Stein
- Department of Psychiatry and Department of Family Medicine and Public Health, UCSD School of Medicine, La Jolla, CA, USA
| | - Nicole von Steinbüchel
- Institute of Medical Psychology and Medical Sociology, University Medical Center Goettingen, Goettingen, Germany
| | - William Stewart
- Department of Neuropathology, Queen Elizabeth University Hospital and University of Glasgow, Glasgow, UK
| | - Ewout W Steyerberg
- Department of Biomedical Data Sciences Leiden University Medical Center, Leiden, Netherlands
| | - Nino Stocchetti
- Department of Pathophysiology and Transplantation, Milan University, and Neuroscience ICU, Fondazione IRCCS Ca Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Nancy Temkin
- Departments of Neurological Surgery, and Biostatistics, University of Washington, Seattle, WA, USA
| | - Olli Tenovuo
- Department of Rehabilitation and Brain Trauma, Turku University Hospital, and Department of Neurology, University of Turku, Turku, Finland
| | - Alice Theadom
- National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Studies, Auckland University of Technology, Auckland, New Zealand
| | - Ilias Thomas
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Abel Torres Espin
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Alexis F Turgeon
- Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada
| | - Andreas Unterberg
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Dominique Van Praag
- Departments of Clinical Psychology and Neurosurgery, Antwerp University Hospital, and University of Antwerp, Edegem, Belgium
| | - Ernest van Veen
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | | | - Thijs Vande Vyvere
- Department of Radiology, Faculty of Medicine and Health Sciences, Department of Rehabilitation Sciences (MOVANT), Antwerp University Hospital, and University of Antwerp, Edegem, Belgium
| | - Kevin K W Wang
- Department of Psychiatry, University of Florida, Gainesville, FL, USA
| | - Eveline J A Wiegers
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - W Huw Williams
- Centre for Clinical Neuropsychology Research, Department of Psychology, University of Exeter, Exeter, UK
| | - Lindsay Wilson
- Division of Psychology, University of Stirling, Stirling, UK
| | - Stephen R Wisniewski
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Alexander Younsi
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - John K Yue
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Esther L Yuh
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Frederick A Zeiler
- Departments of Surgery, Human Anatomy and Cell Science, and Biomedical Engineering, Rady Faculty of Health Sciences and Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Marina Zeldovich
- Institute of Medical Psychology and Medical Sociology, University Medical Center Goettingen, Goettingen, Germany
| | - Roger Zemek
- Departments of Pediatrics and Emergency Medicine, University of Ottawa, Children’s Hospital of Eastern Ontario, ON, Canada
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Tanizaki S, Toma Y, Miyashita K, Maeda S. The Characteristics of Withdrawal or Withholding of Life-Sustaining Treatment in Severe Traumatic Brain Injury: A Single Japanese Institutional Study. World Neurosurg X 2022; 17:100144. [PMID: 36353247 PMCID: PMC9637969 DOI: 10.1016/j.wnsx.2022.100144] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 09/27/2022] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVES There is little evidence on the factors influencing the decision to withdraw or continue life-sustaining treatment in the setting of severe traumatic brain injury in Japanese institutions. We investigated the factors associated with the withdrawal or withholding of life-sustaining treatment (WLST) for severe traumatic brain injury at a single Japanese institution. METHODS A total of 161 patients with severe traumatic brain injury were retrospectively reviewed. Patient characteristics and injury types were compared between patients with and without the WLST. RESULTS Of the 161 patients, 87 (54%) died and 52 (32%) decided to undergo WLST. In 98% of the WLST cases, the decision was made within 24 h of admission. The mean duration between WLST and death was 2 days. The predicted probabilities for mortality and unfavorable outcomes were highest in patients with WLST within 24 h. Patients with WLST were older and had a higher frequency of falls on the ground, ischemic heart disease, and acute subdural hemorrhage than those without WLST. CONCLUSIONS The decisions of almost all WLST cases were made within 24 h of admission for severe traumatic brain injury in a Japanese institution because of Japanese patients' religious and cultural backgrounds.
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Affiliation(s)
- Shinsuke Tanizaki
- Department of Emergency Medicine, Fukui Prefectural Hospital, Fukui, Japan,To whom correspondence should be addressed: Shinsuke Tanizaki, M.D.
| | - Yasuo Toma
- Department of Neurosurgery, Fukui Prefectural Hospital, Fukui, Japan
| | | | - Shigenobu Maeda
- Department of Emergency Medicine, Fukui Prefectural Hospital, Fukui, Japan
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Bhattacharyay S, Milosevic I, Wilson L, Menon DK, Stevens RD, Steyerberg EW, Nelson DW, Ercole A. The leap to ordinal: Detailed functional prognosis after traumatic brain injury with a flexible modelling approach. PLoS One 2022; 17:e0270973. [PMID: 35788768 PMCID: PMC9255749 DOI: 10.1371/journal.pone.0270973] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 06/21/2022] [Indexed: 11/30/2022] Open
Abstract
When a patient is admitted to the intensive care unit (ICU) after a traumatic brain injury (TBI), an early prognosis is essential for baseline risk adjustment and shared decision making. TBI outcomes are commonly categorised by the Glasgow Outcome Scale–Extended (GOSE) into eight, ordered levels of functional recovery at 6 months after injury. Existing ICU prognostic models predict binary outcomes at a certain threshold of GOSE (e.g., prediction of survival [GOSE > 1]). We aimed to develop ordinal prediction models that concurrently predict probabilities of each GOSE score. From a prospective cohort (n = 1,550, 65 centres) in the ICU stratum of the Collaborative European NeuroTrauma Effectiveness Research in TBI (CENTER-TBI) patient dataset, we extracted all clinical information within 24 hours of ICU admission (1,151 predictors) and 6-month GOSE scores. We analysed the effect of two design elements on ordinal model performance: (1) the baseline predictor set, ranging from a concise set of ten validated predictors to a token-embedded representation of all possible predictors, and (2) the modelling strategy, from ordinal logistic regression to multinomial deep learning. With repeated k-fold cross-validation, we found that expanding the baseline predictor set significantly improved ordinal prediction performance while increasing analytical complexity did not. Half of these gains could be achieved with the addition of eight high-impact predictors to the concise set. At best, ordinal models achieved 0.76 (95% CI: 0.74–0.77) ordinal discrimination ability (ordinal c-index) and 57% (95% CI: 54%– 60%) explanation of ordinal variation in 6-month GOSE (Somers’ Dxy). Model performance and the effect of expanding the predictor set decreased at higher GOSE thresholds, indicating the difficulty of predicting better functional outcomes shortly after ICU admission. Our results motivate the search for informative predictors that improve confidence in prognosis of higher GOSE and the development of ordinal dynamic prediction models.
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Affiliation(s)
- Shubhayu Bhattacharyay
- Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- Laboratory of Computational Intensive Care Medicine, Johns Hopkins University, Baltimore, MD, United States of America
- * E-mail:
| | - Ioan Milosevic
- Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom
| | - Lindsay Wilson
- Division of Psychology, University of Stirling, Stirling, United Kingdom
| | - David K. Menon
- Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom
| | - Robert D. Stevens
- Laboratory of Computational Intensive Care Medicine, Johns Hopkins University, Baltimore, MD, United States of America
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, United States of America
| | - Ewout W. Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - David W. Nelson
- Department of Physiology and Pharmacology, Section for Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden
| | - Ari Ercole
- Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom
- Cambridge Centre for Artificial Intelligence in Medicine, Cambridge, United Kingdom
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Young M, Peterson AH. Neuroethics across the Disorders of Consciousness Care Continuum. Semin Neurol 2022; 42:375-392. [PMID: 35738293 DOI: 10.1055/a-1883-0701] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Management of moderate to severe traumatic brain injury: an update for the intensivist. Intensive Care Med 2022; 48:649-666. [PMID: 35595999 DOI: 10.1007/s00134-022-06702-4] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 04/09/2022] [Indexed: 01/04/2023]
Abstract
Traumatic brain injury (TBI) remains one of the most fatal and debilitating conditions in the world. Current clinical management in severe TBI patients is mainly concerned with reducing secondary insults and optimizing the balance between substrate delivery and consumption. Over the past decades, multimodality monitoring has become more widely available, and clinical management protocols have been published that recommend potential interventions to correct pathophysiological derangements. Even while evidence from randomized clinical trials is still lacking for many of the recommended interventions, these protocols and algorithms can be useful to define a clear standard of therapy where novel interventions can be added or be compared to. Over the past decade, more attention has been paid to holistic management, in which hemodynamic, respiratory, inflammatory or coagulation disturbances are detected and treated accordingly. Considerable variability with regards to the trajectories of recovery exists. Even while most of the recovery occurs in the first months after TBI, substantial changes may still occur in a later phase. Neuroprognostication is challenging in these patients, where a risk of self-fulfilling prophecies is a matter of concern. The present article provides a comprehensive and practical review of the current best practice in clinical management and long-term outcomes of moderate to severe TBI in adult patients admitted to the intensive care unit.
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Hinson HE. Future Shock: Does Pessimism Contribute to Poor Outcome After Intracerebral Hemorrhage? Stroke 2021; 52:3899-3900. [PMID: 34583528 DOI: 10.1161/strokeaha.121.036761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- H E Hinson
- Departments of Neurology and Emergency Medicine, Oregon Health and Science University, Portland
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