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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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2
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Hundt B, Stevens S. Palliative Care of Stroke Patients. AACN Adv Crit Care 2024; 35:125-133. [PMID: 38848563 DOI: 10.4037/aacnacc2024489] [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: 06/09/2024]
Abstract
Critical care clinicians frequently care for patients with acute brain injury, such as stroke. Regardless of the severity of the neurologic insult, these patients have life-altering deficits that threaten their personal identity and quality of life. The sudden nature of the injury often means that there has been little discussion between patients and their families about life-sustaining treatments, and most patients are unable to speak for themselves because of impaired cognition and communication. Thus, individuals experiencing stroke and their families present clinicians with unique and complex care needs in the acute care setting. Key professional organizations have endorsed the early integration of palliative care into the treatment of patients with stroke and devastating neurologic injury. Implementing interdisciplinary primary or specialty palliative care helps clinicians adopt a patient-centered approach to care and aids in decision-making.
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Affiliation(s)
- Beth Hundt
- Beth Hundt is Stroke Program Supervisor, Centra Health, 3276 Hardware River Rd, Charlottesville, VA 22903
| | - Stacie Stevens
- Stacie Stevens is Stroke Program Manager, VCU Health, Richmond, Virginia
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3
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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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Ratay C, Elmer J, Callaway CW, Flickinger KL, Coppler PJ. Brain computed tomography after resuscitation from in-hospital cardiac arrest. Resuscitation 2024; 198:110181. [PMID: 38492716 DOI: 10.1016/j.resuscitation.2024.110181] [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: 02/01/2024] [Revised: 03/05/2024] [Accepted: 03/08/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND Few data characterize the role of brain computed tomography (CT) after resuscitation from in-hospital cardiac arrest (IHCA). We hypothesized that identifying a neurological etiology of arrest or cerebral edema on brain CT are less common after IHCA than after resuscitation from out-of-hospital cardiac arrest (OHCA). METHODS We included all patients comatose after resuscitation from IHCA or OHCA in this retrospective cohort analysis. We abstracted patient and arrest clinical characteristics, as well as pH and lactate, to estimate systemic illness severity. Brain CT characteristics included quantitative measurement of the grey-to-white ratio (GWR) at the level of the basal ganglia and qualitative assessment of sulcal and cisternal effacement. We compared GWR distribution by stratum (no edema ≥1.30, mild-to-moderate <1.30 and >1.20, severe ≤1.20) and newly identified neurological arrest etiology between IHCA and OHCA groups. RESULTS We included 2,306 subjects, of whom 420 (18.2%) suffered IHCA. Fewer IHCA subjects underwent post-arrest brain CT versus OHCA subjects (149 (35.5%) vs 1,555 (82.4%), p < 0.001). Cerebral edema for IHCA versus OHCA was more often absent (60.1% vs. 47.5%) or mild-to-moderate (34.3% vs. 27.9%) and less often severe (5.6% vs. 24.6%). A neurological etiology of arrest was identified on brain CT in 0.5% of IHCA versus 3.2% of OHCA. CONCLUSIONS Although severe edema was less frequent in IHCA relative to OHCA, mild-to-moderate or severe edema occurred in one in three patients after IHCA. Unsuspected neurological etiologies of arrest were rarely discovered by CT scan in IHCA patients.
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Affiliation(s)
- Cecelia Ratay
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Jonathan Elmer
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Clifton W Callaway
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Katharyn L Flickinger
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Patrick J Coppler
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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5
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Pérez-Blanco A, Acevedo M, Padilla M, Gómez A, Zapata L, Barber M, Martínez A, Calleja V, Rivero MC, Fernández E, Velasco J, Flores EM, Quindós B, Rodríguez ST, Virgós B, Robles JC, Nebra AC, Moya J, Trenado J, García N, Vallejo A, Herrero E, García Á, Rodríguez ML, García F, Lara R, Lage L, Gil FJ, Guerrero FJ, Meilán Á, Del Prado N, Fernández C, Coll E, Domínguez-Gil B. Assessing Outcomes of Patients Subject to Intensive Care to Facilitate Organ Donation: A Spanish Multicenter Prospective Study. Transpl Int 2024; 37:12791. [PMID: 38681973 PMCID: PMC11046399 DOI: 10.3389/ti.2024.12791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 03/19/2024] [Indexed: 05/01/2024]
Abstract
Intensive Care to facilitate Organ Donation (ICOD) consists of the initiation or continuation of intensive care measures in patients with a devastating brain injury (DBI) in whom curative treatment is deemed futile and death by neurological criteria (DNC) is foreseen, to incorporate organ donation into their end-of-life plans. In this study we evaluate the outcomes of patients subject to ICOD and identify radiological and clinical factors associated with progression to DNC. In this first prospective multicenter study we tested by multivariate regression the association of clinical and radiological severity features with progression to DNC. Of the 194 patients, 144 (74.2%) patients fulfilled DNC after a median of 25 h (95% IQR: 17-44) from ICOD onset. Two patients (1%) shifted from ICOD to curative treatment, both were alive at discharge. Factors associated with progression to DNC included: age below 70 years, clinical score consistent with severe brain injury, instability, intracranial hemorrhage, midline shift ≥5 mm and certain types of brain herniation. Overall 151 (77.8%) patients progressed to organ donation. Based on these results, we conclude that ICOD is a beneficial and efficient practice that can contribute to the pool of deceased donors.
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Affiliation(s)
| | - María Acevedo
- Hospital Universitario Puerta de Hierro, Madrid, Spain
| | | | - Aroa Gómez
- Hospital Universitario Vall d’Hebrón, Barcelona, Spain
| | - Luis Zapata
- Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - María Barber
- Hospital Universitario de Navarra, Pamplona, Spain
| | | | | | - María C. Rivero
- Complejo Hospitalario Universitario, Santiago de Compostela, Spain
| | | | - Julio Velasco
- Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | | | | | - Sergio T. Rodríguez
- Hospital Universitario Nuestra Señora de la Candelaria, Santa Cruz de Tenerife, Spain
| | - Beatriz Virgós
- Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain
| | | | | | - José Moya
- Hospital Universitario Virgen de la Arrixaca, Murcia, Spain
| | - Josep Trenado
- Hospital Universitario Mútua Terrasa, Barcelona, Spain
| | | | - Ana Vallejo
- Hospital Universitario de Araba, Vitoria-Gasteiz, Spain
| | | | - Álvaro García
- Complejo Asistencial Universitario, Salamanca, Spain
| | | | | | - Ramón Lara
- Hospital Universitario Virgen de las Nieves, Granada, Spain
| | | | | | | | - Ángela Meilán
- Hospital Universitario Central de Asturias, Oviedo, Spain
| | | | - Cristina Fernández
- Hospital Clínico Universitario de Santiago, Instituto de Investigaciones Sanitarias de Santiago, Santiago, Spain
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Edwards L, Tesorero V, Zonouzi F, Santullo P, Owen P, Gordon AL. The use of frailty questionnaires in inpatients in two neurorehabilitation units in the East Midlands - A cross-sectional cohort study with follow-up to 1-year after discharge from inpatient rehabilitation. J R Coll Physicians Edinb 2024:14782715241242509. [PMID: 38578071 DOI: 10.1177/14782715241242509] [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: 04/06/2024] Open
Abstract
BACKGROUND Frailty correlates with poor clinical outcomes and is not routinely assessed in neurorehabilitation inpatient settings. METHODS We recruited adults from two neurorehabilitation units. We administered six validated tools for assessing frailty and collected data around length of stay, discharge, readmission and change in rehabilitation outcome measures. RESULTS Seventy-eight participants aged between 31 and 84 years were recruited with a range of neurological diagnoses. Frailty prevalence ranged between 23% and 46%, depending on the scale used, with little agreement between tools. Frailty status did not correlate with age, gender, length of stay, discharge destination and rehabilitation outcome measures. One-year readmission was higher in participants rated as frail by the Frail-Non-Disabled Questionnaire, the FRESH-screening questionnaire and the Clinical Frailty Scale. DISCUSSION Frailty ascertainment was variable depending on the tool used. Three frailty indices predicted readmission rate at 1 year but no other outcome measures. Therefore, frailty tools may have limited utility in this clinical population.
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Affiliation(s)
- Laura Edwards
- University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
- Academic Unit of Injury, Rehabilitation and Inflammation Sciences (IRIS), University of Nottingham, Nottingham, UK
| | - Vina Tesorero
- Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Fattaneh Zonouzi
- University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
| | - Piera Santullo
- University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
- Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Phoebe Owen
- University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
- Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Adam L Gordon
- University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
- Academic Unit of Injury, Rehabilitation and Inflammation Sciences (IRIS), University of Nottingham, Nottingham, UK
- NIHR Applied Research Collaboration-East Midlands (ARC-EM), Nottingham, UK
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7
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Wtorek P, Weiss MJ, Singh JM, Hrymak C, Chochinov A, Grunau B, Paunovic B, Shemie SD, Lalani J, Piggott B, Stempien J, Archambault P, Seleseh P, Fowler R, Leeies M. Beliefs of physician directors on the management of devastating brain injuries at the Canadian emergency department and intensive care unit interface: a national site-level survey. Can J Anaesth 2024:10.1007/s12630-024-02749-7. [PMID: 38570415 DOI: 10.1007/s12630-024-02749-7] [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: 06/04/2023] [Revised: 01/24/2024] [Accepted: 01/29/2024] [Indexed: 04/05/2024] Open
Abstract
PURPOSE Insufficient evidence-based recommendations to guide care for patients with devastating brain injuries (DBIs) leave patients vulnerable to inconsistent practice at the emergency department (ED) and intensive care unit (ICU) interface. We sought to characterize the beliefs of Canadian emergency medicine (EM) and critical care medicine (CCM) physician site directors regarding current management practices for patients with DBI. METHODS We conducted a cross-sectional survey of EM and CCM physician directors of adult EDs and ICUs across Canada (December 2022 to March 2023). Our primary outcome was the proportion of respondents who manage (or consult on) patients with DBI in the ED. We conducted subgroup analyses to compare beliefs of EM and CCM physicians. RESULTS Of 303 eligible respondents, we received 98 (32%) completed surveys (EM physician directors, 46; CCM physician directors, 52). Most physician directors reported participating in the decision to withdraw life-sustaining measures (WLSM) for patients with DBI in the ED (80%, n = 78), but 63% of these (n = 62) said this was infrequent. Physician directors reported that existing neuroprognostication methods are rarely sufficient to support WLSM in the ED (49%, n = 48) and believed that an ICU stay is required to improve confidence (99%, n = 97). Most (96%, n = 94) felt that providing caregiver visitation time prior to WLSM was a valid reason for ICU admission. CONCLUSION In our survey of Canadian EM and CCM physician directors, 80% participated in WLSM in the ED for patients with DBI. Despite this, most supported ICU admission to optimize neuroprognostication and patient-centred end-of-life care, including organ donation.
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Affiliation(s)
- Piotr Wtorek
- Section of Critical Care Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
- Health Sciences Centre, JJ399-820 Sherbrook St., Ann Thomas Building, Winnipeg, MB, R3A 1R9, Canada.
| | - Matthew J Weiss
- Transplant Québec, Montreal, QC, Canada
- Canadian Donation and Transplantation Research Program, Edmonton, AB, Canada
- Division of Critical Care, Department of Pediatrics, Centre Mère-Enfant Soleil du CHU de Québec, Quebec City, QC, Canada
| | - Jeffrey M Singh
- Interdepartmental Division of Critical Care Medicine, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Carmen Hrymak
- Section of Critical Care Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Department of Emergency Medicine, University of Manitoba, Winnipeg, MB, Canada
- Transplant Manitoba, Gift of Life Program, Shared Health Manitoba, Winnipeg, MB, Canada
| | - Alecs Chochinov
- Department of Emergency Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Brian Grunau
- Department of Emergency Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Bojan Paunovic
- Section of Critical Care Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Sam D Shemie
- McGill University, Montreal Children's Hospital, Montreal, QC, Canada
| | | | | | - James Stempien
- Department of Emergency Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Patrick Archambault
- Department of Anesthesiology and Critical Care, Université Laval, Laval, QC, Canada
| | - Parisa Seleseh
- Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Rob Fowler
- Department of Critical Care Medicine, Sunnybrook Hospital, Toronto, ON, Canada
| | - Murdoch Leeies
- Section of Critical Care Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Canadian Donation and Transplantation Research Program, Edmonton, AB, Canada
- Department of Emergency Medicine, University of Manitoba, Winnipeg, MB, Canada
- Transplant Manitoba, Gift of Life Program, Shared Health Manitoba, Winnipeg, MB, Canada
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8
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Hwang DY, Kim KS, Muehlschlegel S, Wartenberg KE, Rajajee V, Alexander SA, Busl KM, Creutzfeldt CJ, Fontaine GV, Hocker SE, Madzar D, Mahanes D, Mainali S, Sakowitz OW, Varelas PN, Weimar C, Westermaier T, Meixensberger J. Guidelines for Neuroprognostication in Critically Ill Adults with Intracerebral Hemorrhage. Neurocrit Care 2024; 40:395-414. [PMID: 37923968 PMCID: PMC10959839 DOI: 10.1007/s12028-023-01854-7] [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: 08/29/2023] [Accepted: 09/01/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND The objective of this document is to provide recommendations on the formal reliability of major clinical predictors often associated with intracerebral hemorrhage (ICH) neuroprognostication. METHODS A narrative systematic review was completed using the Grading of Recommendations Assessment, Development, and Evaluation methodology and the Population, Intervention, Comparator, Outcome, Timing, Setting questions. Predictors, which included both individual clinical variables and prediction models, were selected based on clinical relevance and attention in the literature. Following construction of the evidence profile and summary of findings, recommendations were based on Grading of Recommendations Assessment, Development, and Evaluation criteria. Good practice statements addressed essential principles of neuroprognostication that could not be framed in the Population, Intervention, Comparator, Outcome, Timing, Setting format. RESULTS Six candidate clinical variables and two clinical grading scales (the original ICH score and maximally treated ICH score) were selected for recommendation creation. A total of 347 articles out of 10,751 articles screened met our eligibility criteria. Consensus statements of good practice included deferring neuroprognostication-aside from the most clinically devastated patients-for at least the first 48-72 h of intensive care unit admission; understanding what outcomes would have been most valued by the patient; and counseling of patients and surrogates whose ultimate neurological recovery may occur over a variable period of time. Although many clinical variables and grading scales are associated with ICH poor outcome, no clinical variable alone or sole clinical grading scale was suggested by the panel as currently being reliable by itself for use in counseling patients with ICH and their surrogates, regarding functional outcome at 3 months and beyond or 30-day mortality. CONCLUSIONS These guidelines provide recommendations on the formal reliability of predictors of poor outcome in the context of counseling patients with ICH and surrogates and suggest broad principles of neuroprognostication. Clinicians formulating their judgments of prognosis for patients with ICH should avoid anchoring bias based solely on any one clinical variable or published clinical grading scale.
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Affiliation(s)
- David Y Hwang
- Division of Neurocritical Care, Department of Neurology, University of North Carolina School of Medicine, 170 Manning Drive, CB# 7025, Chapel Hill, NC, 27599-7025, USA.
| | - Keri S Kim
- Department of Pharmacy Practice, University of Illinois at Chicago College of Pharmacy, Chicago, IL, USA
| | - Susanne Muehlschlegel
- Division of Neurosciences Critical Care, Departments of Neurology and Anesthesiology/Critical Care Medicine, Johns Hopkins Medicine, Baltimore, MD, USA
| | | | | | | | - Katharina M Busl
- Departments of Neurology and Neurosurgery, College of Medicine, University of Florida, Gainesville, FL, USA
| | | | - Gabriel V Fontaine
- Departments of Pharmacy and Neurosciences, Intermountain Health, Salt Lake City, UT, USA
| | - Sara E Hocker
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Dominik Madzar
- Department of Neurology, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Dea Mahanes
- Departments of Neurology and Neurosurgery, UVA 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-Kliniken Dachau, University of Wuerzburg, Würzburg, Germany
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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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10
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Fischer D, Edlow BL. Coma Prognostication After Acute Brain Injury: A Review. JAMA Neurol 2024:2815829. [PMID: 38436946 DOI: 10.1001/jamaneurol.2023.5634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Importance Among the most impactful neurologic assessments is that of neuroprognostication, defined here as the prediction of neurologic recovery from disorders of consciousness caused by severe, acute brain injury. Across a range of brain injury etiologies, these determinations often dictate whether life-sustaining treatment is continued or withdrawn; thus, they have major implications for morbidity, mortality, and health care costs. Neuroprognostication relies on a diverse array of tests, including behavioral, radiologic, physiological, and serologic markers, that evaluate the brain's functional and structural integrity. Observations Prognostic markers, such as the neurologic examination, electroencephalography, and conventional computed tomography and magnetic resonance imaging (MRI), have been foundational in assessing a patient's current level of consciousness and capacity for recovery. Emerging techniques, such as functional MRI, diffusion MRI, and advanced forms of electroencephalography, provide new ways of evaluating the brain, leading to evolving schemes for characterizing neurologic function and novel methods for predicting recovery. Conclusions and Relevance Neuroprognostic markers are rapidly evolving as new ways of assessing the brain's structural and functional integrity after brain injury are discovered. Many of these techniques remain in development, and further research is needed to optimize their prognostic utility. However, even as such efforts are underway, a series of promising findings coupled with the imperfect predictive value of conventional prognostic markers and the high stakes of these assessments have prompted clinical guidelines to endorse emerging techniques for neuroprognostication. Thus, clinicians have been thrust into an uncertain predicament in which emerging techniques are not yet perfected but too promising to ignore. This review illustrates the current, and likely future, landscapes of prognostic markers. No matter how much prognostic markers evolve and improve, these assessments must be approached with humility and individualized to reflect each patient's values.
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Affiliation(s)
- David Fischer
- Division of Neurocritical Care, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Brian L Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown
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11
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Vergano M, Jung C, Metaxa V. Intensive care admission aiming at organ donation. Con. Intensive Care Med 2024; 50:440-442. [PMID: 38270641 DOI: 10.1007/s00134-024-07326-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 01/13/2024] [Indexed: 01/26/2024]
Affiliation(s)
- Marco Vergano
- Department of Anesthesia and Intensive Care, San Giovanni Bosco Hospital, Turin, Italy
| | - Christian Jung
- Department of Cardiology, Pulmonology and Vascular Medicine, University Hospital and Medical Faculty, Heinrich-Heine University, Duesseldorf, Germany
- Cardiovascular Research Institute Düsseldorf (CARID), Medical Faculty, Heinrich-Heine University, Duesseldorf, Germany
| | - Victoria Metaxa
- Department of Critical Care, King's College Hospital NHS Foundation Trust, Denmark Hill, London, SE5 9RS, UK.
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12
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Lernon SM, Frings D, Terry L, Simister R, Browning S, Burgess H, Chua J, Reddy U, Werring DJ. Doctors and nurses subjective predictions of 6-month outcome compared to actual 6-month outcome for adult patients with spontaneous intracerebral haemorrhage (ICH) in neurocritical care: An observational study. eNeurologicalSci 2024; 34:100491. [PMID: 38274038 PMCID: PMC10809071 DOI: 10.1016/j.ensci.2023.100491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 12/11/2023] [Accepted: 12/18/2023] [Indexed: 01/27/2024] Open
Abstract
Background Acute spontaneous intracerebral haemorrhage is a devastating form of stroke. Prognostication after ICH may be influenced by clinicians' subjective opinions. Purpose To evaluate subjective predictions of 6-month outcome by clinicians' for ICH patients in a neurocritical care using the modified Rankin Scale (mRS) and compare these to actual 6-month outcome. Method We included clinicians' predictions of 6-month outcome in the first 48 h for 52 adults with ICH and compared to actual 6-month outcome using descriptive statistics and multilevel binomial logistic regression. Results 35/52 patients (66%) had a poor 6-month outcome (mRS 4-6); 19/52 (36%) had died. 324 predictions were included. For good (mRS 0-3) versus poor (mRS 4-6), outcome, accuracy of predictions was 68% and exact agreement 29%. mRS 6 and mRS 4 received the most correct predictions. Comparing job roles, predictions of death were underestimated, by doctors (12%) and nurses (13%) compared with actual mortality (36%). Predictions of vital status showed no significant difference between doctors and nurses: OR = 1.24 {CI; 0.50-3.05}; (p = 0.64) or good versus poor outcome: OR = 1.65 {CI; 0.98-2.79}; (p = 0.06). When predicted and actual 6-month outcome were compared, job role did not significantly relate to correct predictions of good versus poor outcome: OR = 1.13 {CI;0.67-1.90}; (p = 0.65) or for vital status: OR = 1.11 {CI; 0.47-2.61}; p = 0.81). Conclusions Early prognostication is challenging. Doctors and nurses were most likely to correctly predict poor outcome but tended to err on the side of optimism for mortality, suggesting an absence of clinical nihilism in relation to ICH.
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Affiliation(s)
- Siobhan Mc Lernon
- Stroke Research Centre, University College London, Institute of Neurology, London, UK
- London South Bank University, School of Health and Social Care, London, UK
| | - Daniel Frings
- London South Bank University, School of Applied Sciences, London, UK
| | - Louise Terry
- London South Bank University, School of Health and Social Care, London, UK
| | - Rob Simister
- Stroke Research Centre, University College London, Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation, Queen Square, London, UK
- University College London Hospital NHS Foundation Trust, Hyper Acute Stroke Unit, National Hospital for Neurology and Neurosurgery, UK
| | - Simone Browning
- University College London Hospital NHS Foundation Trust, Hyper Acute Stroke Unit, National Hospital for Neurology and Neurosurgery, UK
| | - Helen Burgess
- National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation, Queen Square, London, UK
| | - Josenile Chua
- National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation, Queen Square, London, UK
| | - Ugan Reddy
- Stroke Research Centre, University College London, Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation, Queen Square, London, UK
| | - David J. Werring
- Stroke Research Centre, University College London, Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation, Queen Square, London, UK
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13
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van Valburg MK, Termorshuizen F, Geerts BF, Abdo WF, van den Bergh WM, Brinkman S, Horn J, van Mook WNKA, Slooter AJC, Wermer MJH, Siegerink B, Arbous MS. Predicting 30-day mortality in intensive care unit patients with ischaemic stroke or intracerebral haemorrhage. Eur J Anaesthesiol 2024; 41:136-145. [PMID: 37962175 PMCID: PMC10763719 DOI: 10.1097/eja.0000000000001920] [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: 11/15/2023]
Abstract
BACKGROUND Stroke patients admitted to an intensive care unit (ICU) follow a particular survival pattern with a high short-term mortality, but if they survive the first 30 days, a relatively favourable subsequent survival is observed. OBJECTIVES The development and validation of two prognostic models predicting 30-day mortality for ICU patients with ischaemic stroke and for ICU patients with intracerebral haemorrhage (ICH), analysed separately, based on parameters readily available within 24 h after ICU admission, and with comparison with the existing Acute Physiology and Chronic Health Evaluation IV (APACHE-IV) model. DESIGN Observational cohort study. SETTING All 85 ICUs participating in the Dutch National Intensive Care Evaluation database. PATIENTS All adult patients with ischaemic stroke or ICH admitted to these ICUs between 2010 and 2019. MAIN OUTCOME MEASURES Models were developed using logistic regressions and compared with the existing APACHE-IV model. Predictive performance was assessed using ROC curves, calibration plots and Brier scores. RESULTS We enrolled 14 303 patients with stroke admitted to ICU: 8422 with ischaemic stroke and 5881 with ICH. Thirty-day mortality was 27% in patients with ischaemic stroke and 41% in patients with ICH. Important factors predicting 30-day mortality in both ischaemic stroke and ICH were age, lowest Glasgow Coma Scale (GCS) score in the first 24 h, acute physiological disturbance (measured using the Acute Physiology Score) and the application of mechanical ventilation. Both prognostic models showed high discrimination with an AUC 0.85 [95% confidence interval (CI), 0.84 to 0.87] for patients with ischaemic stroke and 0.85 (0.83 to 0.86) in ICH. Calibration plots and Brier scores indicated an overall good fit and good predictive performance. The APACHE-IV model predicting 30-day mortality showed similar performance with an AUC of 0.86 (95% CI, 0.85 to 0.87) in ischaemic stroke and 0.87 (0.86 to 0.89) in ICH. CONCLUSION We developed and validated two prognostic models for patients with ischaemic stroke and ICH separately with a high discrimination and good calibration to predict 30-day mortality within 24 h after ICU admission. TRIAL REGISTRATION Trial registration: Dutch Trial Registry ( https://www.trialregister.nl/ ); identifier: NTR7438.
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Affiliation(s)
- Mariëlle K van Valburg
- From the Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht University, Utrecht (MKvV, AJCS), Department of Anaesthesiology, Intensive Care and Pain Medicine, Amphia Hospital, Breda (MKvV), National Intensive Care Evaluation Foundation, Amsterdam University Medical Center (FT, SB, MSA), Department of Medical Informatics, Amsterdam University Medical Center, Amsterdam (FT, SB), Healthplus.ai BV, Amsterdam (BFG), Department of Intensive Care Medicine, Radboud University Medical Center, Nijmegen (WFA), Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen (WMvdB), Department of Intensive Care, Amsterdam University Medical Center, Amsterdam (JH), Department of Intensive Care Medicine, and Academy for Postgraduate Training, Maastricht University Medical Center (WNKAvM), School of Health Professions Education, Maastricht University, Maastricht (WNKAvM), the UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands (AJCS), Department of Neurology, UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium (AJCS), Department of Neurology, Leiden University Medical Center, Leiden (MJHW), Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen (MJHW), Department of Clinical Epidemiology, Leiden University Medical Center (BS, MSA), Department of Intensive Care, Leiden University Medical Center, Leiden, the Netherlands (MSA)
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14
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Dibera GB, Yizengaw MA, Yadeta GL, Iticha DD, Gamachu B, Legesse BT. Clinical characteristics and outcomes of traumatic brain injury in patients admitted to surgical ward of Jimma Medical Center, Southwest Ethiopia: a prospective observational follow-up study. BMJ Open 2024; 14:e080598. [PMID: 38307533 PMCID: PMC10836355 DOI: 10.1136/bmjopen-2023-080598] [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: 10/10/2023] [Accepted: 01/15/2024] [Indexed: 02/04/2024] Open
Abstract
OBJECTIVE To assess the Clinical Characteristics and Outcomes of Traumatic Brain Injury in Patients Admitted to the Surgical Ward of Jimma Medical Center, Southwest Ethiopia from January to July 2022. DESIGN AND SETTING A hospital-based prospective observational study was conducted among 175 patients admitted with Traumatic Brain Injury at Jimma Medical Center from January to July 2022. Data were collected by structured questionnaires and a convenient sampling technique was used. For data entry, Epidata V.4.6.0.5 software was used and exported to Stata V.14.0.2 for analysis. The Cox regression model was fitted to evaluate the predictors of mortality and variables with a p value <0.05 at 95% CI were taken as statistically significant predictors. RESULTS The incidence of in-hospital mortality was 22 (12.6%). The mean length of hospital stay was 6 days. In-hospital complications were recorded in 32.0% of patients. A Glasgow Coma Scale (GCS) score of <8 on admission (adjusted HR (AHR)=6.2, 95% CI 0.75 to 51), hyperthermia (AHR: 1.7, 95% CI 1.02 to 3.05) and lack of prehospital care (AHR: 3.2, 95% CI 2.2 to 8.07) were predictors of mortality in patients with traumatic brain injury. CONCLUSION In-hospital mortality was recorded in over one-tenth of patients with traumatic brain injury. The GCS score of <8 on admission, hyperthermia and lack of prehospital care positively affected the outcome of patients with traumatic brain injury. Screening of patients for hyperthermia and antipsychotics should be strengthened to reduce death. However, a multicentred study is needed for further evidence. Giving priority to the patients with those predictors will decrease the number of deaths.
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Affiliation(s)
| | | | | | | | - Busha Gamachu
- Department of Pharmacy, Wollega University, Nekemte, Ethiopia
| | - Bruck Tesfaye Legesse
- Department of Pediatrics and Neonatal Nursing, Wollega University, Nekemte, Ethiopia
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15
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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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16
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Bögli SY, Stretti F, Utebay D, Hitz L, Hertler C, Brandi G. Limitation of life sustaining measures in neurocritical care: sex, timing, and advance directive. J Intensive Care 2024; 12:3. [PMID: 38225647 PMCID: PMC10790395 DOI: 10.1186/s40560-023-00714-y] [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: 11/16/2023] [Accepted: 12/27/2023] [Indexed: 01/17/2024] Open
Abstract
BACKGROUND The limitation of life sustaining treatments (LLST) causes ethical dilemmas even in patients faced with poor prognosis, which applies to many patients admitted to a Neurocritical Care Unit (NCCU). The effects of social and cultural aspects on LLST in an NCCU population remain poorly studied. METHODS All NCCU patients between 01.2018 and 08.2021 were included. Medical records were reviewed for: demographics, diagnosis, severity of disease, and outcome. Advance directives (AD) and LLST discussions were reviewed evaluating timing, degree, and reason for LLST. Social/cultural factors (nationality, language spoken, religion, marital status, relationship to/sex of legal representative) were noted. Associations between these factors and the patients' sex, LLST timing, and presence of AD were evaluated. RESULTS Out of 2975 patients, 12% of men and 10.5% of women underwent LLST (p = 0.30). Women, compared to men, more commonly received withdrawal instead of withholding of life sustaining treatments (57.5 vs. 45.1%, p = 0.028) despite comparable disease severity. Women receiving LLST were older (73 ± 11.7 vs. 69 ± 14.9 years, p = 0.005) and often without a partner (43.8 vs. 25.8%, p = 0.001) compared to men. AD were associated with female sex and early LLST, but not with an increased in-hospital mortality (57.1 vs. 75.2% of patients with and without AD respectively). CONCLUSIONS In patients receiving LLST, the presence of an AD was associated with an increase of early LLST, but not with an increased in-hospital mortality. This supports the notion that the presence of an AD is primarily an expression of the patients' will but does not per se predestine the patient for an unfavorable outcome.
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Affiliation(s)
- Stefan Yu Bögli
- Neurocritical Care Unit, Institute for Intensive Care Medicine, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland.
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - Federica Stretti
- Neurocritical Care Unit, Institute for Intensive Care Medicine, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland
| | - Didar Utebay
- Neurocritical Care Unit, Institute for Intensive Care Medicine, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland
| | - Ladina Hitz
- Neurocritical Care Unit, Institute for Intensive Care Medicine, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland
| | - Caroline Hertler
- Department of Radiation Oncology and Competence Center for Palliative Care, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Giovanna Brandi
- Neurocritical Care Unit, Institute for Intensive Care Medicine, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland
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17
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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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18
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Kim SH, Jang JH, Kim YZ, Kim KH, Nam TM. Recent Trends in the Withdrawal of Life-Sustaining Treatment in Patients with Acute Cerebrovascular Disease : 2017-2021. J Korean Neurosurg Soc 2024; 67:73-83. [PMID: 37454676 PMCID: PMC10788555 DOI: 10.3340/jkns.2023.0074] [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: 04/10/2023] [Revised: 06/07/2023] [Accepted: 07/12/2023] [Indexed: 07/18/2023] Open
Abstract
OBJECTIVE The Act on Life-Sustaining Treatment (LST) decisions for end-of-life patients has been effective since February 2018. An increasing number of patients and their families want to withhold or withdraw from LST when medical futility is expected. This study aimed to investigate the status of the Act on LST decisions for patients with acute cerebrovascular disease at a single hospital. METHODS Between January 2017 and December 2021, 227 patients with acute cerebrovascular diseases, including hemorrhagic stroke (n=184) and ischemic stroke (n=43), died at the hospital. The study period was divided into the periods before and after the Act. RESULTS The duration of hospitalization decreased after the Act was implemented compared to before (15.9±16.1 vs. 11.2±18.6 days, p=0.127). The rate of obtaining consent for the LST plan tended to increase after the Act (139/183 [76.0%] vs. 27/44 [61.4%], p=0.077). Notably, none of the patients made an LST decision independently. Ventilator withdrawal was more frequently performed after the Act than before (52/183 [28.4%] vs. 0/44 [0%], p<0.001). Conversely, the rate of organ donation decreased after the Act was implemented (5/183 [2.7%] vs. 6/44 [13.6%], p=0.008). Refusal to undergo surgery was more common after the Act was implemented than before (87/149 [58.4%] vs. 15/41 [36.6%], p=0.021) among the 190 patients who required surgery. CONCLUSION After the Act on LST decisions was implemented, the rate of LST withdrawal increased in patients with acute cerebrovascular disease. However, the decision to withdraw LST was made by the patient's family rather than the patient themselves. After the execution of the Act, we also observed an increased rate of refusal to undergo surgery and a decreased rate of organ donation. The Act on LST decisions may reduce unnecessary treatments that prolong end-of-life processes without a curative effect. However, the widespread application of this law may also reduce beneficial treatments and contribute to a decline in organ donation.
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Affiliation(s)
- Seung Hwan Kim
- Department of Neurosurgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Ji Hwan Jang
- Department of Neurosurgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Young Zoon Kim
- Department of Neurosurgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Kyu Hong Kim
- Department of Neurosurgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Taek Min Nam
- Department of Neurosurgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
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19
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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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20
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Dolmans RGF, Robertson FC, Eijkholt M, van Vliet P, Broekman MLD. Palliative Care in Severe Neurotrauma Patients in the Intensive Care Unit. Neurocrit Care 2023; 39:557-564. [PMID: 37173560 PMCID: PMC10689547 DOI: 10.1007/s12028-023-01717-1] [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: 12/21/2022] [Accepted: 03/17/2023] [Indexed: 05/15/2023]
Abstract
Traumatic brain injury (TBI) is a significant cause of mortality and morbidity worldwide and many patients with TBI require intensive care unit (ICU) management. When facing a life-threatening illness, such as TBI, a palliative care approach that focuses on noncurative aspects of care should always be considered in the ICU. Research shows that neurosurgical patients in the ICU receive palliative care less frequently than the medical patients in the ICU, which is a missed opportunity for these patients. However, providing appropriate palliative care to neurotrauma patients in an ICU can be difficult, particularly for young adult patients. The patients' prognoses are often unclear, the likelihood of advance directives is small, and the bereaved families must act as decision-makers. This article highlights the different aspects of the palliative care approach as well as barriers and challenges that accompany the TBI patient population, with a particular focus on young adult patients with TBI and the role of their family members. The article concludes with recommendations for physicians for effective and adequate communication to successfully implement the palliative care approach into standard ICU care and to improve quality of care for patients with TBI and their families.
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Affiliation(s)
- Rianne G F Dolmans
- Department of Neurosurgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA.
| | - Faith C Robertson
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | - Marleen Eijkholt
- Department of Ethics and Law in Healthcare, Leiden University Medical Center, Leiden, The Netherlands
| | - Peter van Vliet
- Department of Intensive Care Medicine, Haaglanden Medical Centre, The Hague, The Netherlands
| | - Marike L D Broekman
- Department of Neurosurgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
- Department of Neurosurgery, Haaglanden Medical Centre, The Hague, The Netherlands
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21
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Lissak IA, Edlow BL, Rosenthal E, Young MJ. Ethical Considerations in Neuroprognostication Following Acute Brain Injury. Semin Neurol 2023; 43:758-767. [PMID: 37802121 DOI: 10.1055/s-0043-1775597] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2023]
Abstract
Neuroprognostication following acute brain injury (ABI) is a complex process that involves integrating vast amounts of information to predict a patient's likely trajectory of neurologic recovery. In this setting, critically evaluating salient ethical questions is imperative, and the implications often inform high-stakes conversations about the continuation, limitation, or withdrawal of life-sustaining therapy. While neuroprognostication is central to these clinical "life-or-death" decisions, the ethical underpinnings of neuroprognostication itself have been underexplored for patients with ABI. In this article, we discuss the ethical challenges of individualized neuroprognostication including parsing and communicating its inherent uncertainty to surrogate decision-makers. We also explore the population-based ethical considerations that arise in the context of heterogenous prognostication practices. Finally, we examine the emergence of artificial intelligence-aided neuroprognostication, proposing an ethical framework relevant to both modern and longstanding prognostic tools.
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Affiliation(s)
- India A Lissak
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Brian L Edlow
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Eric Rosenthal
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Michael J Young
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
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22
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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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23
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Teixeira FJP, Ahmad B, Gibatova V, Ameli PA, da Silva I, Carneiro T, Roth W, Ford JL, Selfe TK, Greer DM, Busl KM, Maciel CB. Do Neuroprognostic Studies Account for Self-Fulfilling Prophecy Bias in Their Methodology? The SPIN Protocol for a Systematic Review. Crit Care Explor 2023; 5:e0943. [PMID: 37396931 PMCID: PMC10309514 DOI: 10.1097/cce.0000000000000943] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/04/2023] Open
Abstract
Self-fulfilling prophecy bias occurs when a perceived prognosis leads to treatment decisions that inherently modify outcomes of a patient, and thus, overinflate the prediction performance of prognostic methods. The goal of this series of systematic reviews is to characterize the extent to which neuroprognostic studies account for the potential impact of self-fulfilling prophecy bias in their methodology by assessing their adequacy of disclosing factors relevant to this bias. Methods Studies evaluating the prediction performance of neuroprognostic tools in cardiac arrest, malignant ischemic stroke, traumatic brain injury, subarachnoid hemorrhage, and spontaneous intracerebral hemorrhage will be identified through PubMed, Cochrane, and Embase database searches. Two reviewers blinded to each other's assessment will perform screening and data extraction of included studies using Distiller SR and following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We will abstract data pertinent to the methodology of the studies relevant to self-fulfilling prophecy bias. Results We will conduct a descriptive analysis of the data. We will summarize the reporting of mortality according to timing and mode of death, rates of exposure to withdrawal of life-sustaining therapy, reasoning behind limitations of supportive care, systematic use of standardized neuroprognostication algorithms and whether the tool being investigated is part of such assessments, and blinding of treatment team to results of neuroprognostic test being evaluated. CONCLUSIONS We will identify if neuroprognostic studies have been transparent in their methodology to factors that affect the self-fulfilling prophecy bias. Our results will serve as the foundation for standardization of neuroprognostic study methodologies by refining the quality of the data derived from such studies.
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Affiliation(s)
- Fernanda J P Teixeira
- Department of Neurology, University of Florida, Gainesville, FL
- Department of Neurology, University of Miami, Miami, FL
| | - Bakhtawar Ahmad
- Department of Neurology, University of Florida, Gainesville, FL
| | | | - Pouya A Ameli
- Department of Neurology, University of Florida, Gainesville, FL
- Department of Neurosurgery, University of Florida, Gainesville, FL
| | - Ivan da Silva
- Department of Neurology, University of Florida, Gainesville, FL
| | - Thiago Carneiro
- Department of Neurology, University of Florida, Gainesville, FL
| | - William Roth
- Department of Neurology, University of Florida, Gainesville, FL
- Department of Neurosurgery, University of Florida, Gainesville, FL
| | - Jenna L Ford
- Department of Neurology, University of Florida, Gainesville, FL
- Department of Neurosurgery, University of Florida, Gainesville, FL
| | - Terry Kit Selfe
- Academic Research Consulting and Services, University of Florida, Gainesville, FL
| | - David M Greer
- Department of Neurology, Boston University, Boston, MA
| | - Katharina M Busl
- Department of Neurology, University of Florida, Gainesville, FL
- Department of Neurosurgery, University of Florida, Gainesville, FL
| | - Carolina B Maciel
- Department of Neurology, University of Florida, Gainesville, FL
- Department of Neurosurgery, University of Florida, Gainesville, FL
- Department of Neurology, University of Utah, Salt Lake City, UT
- Department of Neurology, Yale School of Medicine, New Haven, CT
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24
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Sauthier N, Bouchakri R, Carrier FM, Sauthier M, Mullie LA, Cardinal H, Fortin MC, Lahrichi N, Chassé M. Automated screening of potential organ donors using a temporal machine learning model. Sci Rep 2023; 13:8459. [PMID: 37231073 DOI: 10.1038/s41598-023-35270-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 05/15/2023] [Indexed: 05/27/2023] Open
Abstract
Organ donation is not meeting demand, and yet 30-60% of potential donors are potentially not identified. Current systems rely on manual identification and referral to an Organ Donation Organization (ODO). We hypothesized that developing an automated screening system based on machine learning could reduce the proportion of missed potentially eligible organ donors. Using routine clinical data and laboratory time-series, we retrospectively developed and tested a neural network model to automatically identify potential organ donors. We first trained a convolutive autoencoder that learned from the longitudinal changes of over 100 types of laboratory results. We then added a deep neural network classifier. This model was compared to a simpler logistic regression model. We observed an AUROC of 0.966 (CI 0.949-0.981) for the neural network and 0.940 (0.908-0.969) for the logistic regression model. At a prespecified cutoff, sensitivity and specificity were similar between both models at 84% and 93%. Accuracy of the neural network model was robust across donor subgroups and remained stable in a prospective simulation, while the logistic regression model performance declined when applied to rarer subgroups and in the prospective simulation. Our findings support using machine learning models to help with the identification of potential organ donors using routinely collected clinical and laboratory data.
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Affiliation(s)
- Nicolas Sauthier
- Centre Hospitalier de l'Université de Montréal, Montreal, Canada
| | - Rima Bouchakri
- Centre Hospitalier de l'Université de Montréal, Montreal, Canada
| | | | - Michaël Sauthier
- Centre Hospitalier Universitaire Sainte-Justine, Montreal, Canada
| | | | - Héloïse Cardinal
- Centre Hospitalier de l'Université de Montréal, Montreal, Canada
| | | | | | - Michaël Chassé
- Centre Hospitalier de l'Université de Montréal, Montreal, Canada.
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25
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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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26
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Abstract
OBJECTIVES Critically ill patients are at high risk of acute brain injury. Bedside multimodality neuromonitoring techniques can provide a direct assessment of physiologic interactions between systemic derangements and intracranial processes and offer the potential for early detection of neurologic deterioration before clinically manifest signs occur. Neuromonitoring provides measurable parameters of new or evolving brain injury that can be used as a target for investigating various therapeutic interventions, monitoring treatment responses, and testing clinical paradigms that could reduce secondary brain injury and improve clinical outcomes. Further investigations may also reveal neuromonitoring markers that can assist in neuroprognostication. We provide an up-to-date summary of clinical applications, risks, benefits, and challenges of various invasive and noninvasive neuromonitoring modalities. DATA SOURCES English articles were retrieved using pertinent search terms related to invasive and noninvasive neuromonitoring techniques in PubMed and CINAHL. STUDY SELECTION Original research, review articles, commentaries, and guidelines. DATA EXTRACTION Syntheses of data retrieved from relevant publications are summarized into a narrative review. DATA SYNTHESIS A cascade of cerebral and systemic pathophysiological processes can compound neuronal damage in critically ill patients. Numerous neuromonitoring modalities and their clinical applications have been investigated in critically ill patients that monitor a range of neurologic physiologic processes, including clinical neurologic assessments, electrophysiology tests, cerebral blood flow, substrate delivery, substrate utilization, and cellular metabolism. Most studies in neuromonitoring have focused on traumatic brain injury, with a paucity of data on other clinical types of acute brain injury. We provide a concise summary of the most commonly used invasive and noninvasive neuromonitoring techniques, their associated risks, their bedside clinical application, and the implications of common findings to guide evaluation and management of critically ill patients. CONCLUSIONS Neuromonitoring techniques provide an essential tool to facilitate early detection and treatment of acute brain injury in critical care. Awareness of the nuances of their use and clinical applications can empower the intensive care team with tools to potentially reduce the burden of neurologic morbidity in critically ill patients.
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Affiliation(s)
- Swarna Rajagopalan
- Department of Neurology, Cooper Medical School of Rowan University, Camden, NJ
| | - Aarti Sarwal
- Department of Neurology, Atrium Wake Forest School of Medicine, Winston-Salem, NC
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27
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Kaplan A, Kaleem S, Huynh M. Quality Improvement in the Management of Subarachnoid Hemorrhage: Current State and Future Directions. Curr Pain Headache Rep 2023; 27:27-38. [PMID: 36881288 DOI: 10.1007/s11916-022-01097-9] [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: 11/02/2022] [Indexed: 03/08/2023]
Abstract
PURPOSE OF REVIEW Aneurysmal subarachnoid hemorrhage carries high mortality and morbidity. Quality improvement (QI) efforts in the management of this disease process are growing as the field of neurocritical care matures. This review provides updates in QI in subarachnoid hemorrhage (SAH) and discusses gaps and future directions. RECENT FINDINGS Literature published on the topic over the past 3 years were evaluated. An assessment of current QI practices pertaining to the acute care of SAH was conducted. These include processes surrounding acute pain management, inter-hospital coordination of care, complications during the initial hospital stay, role of palliative care, and quality metrics collection, reporting, and monitoring. SAH QI initiatives have shown promise by decreasing ICU and hospital lengths of stay, health care costs, and hospital complications. The review reveals substantial heterogeneity, variability, and limitations in SAH QI protocols, measures, and reporting. Uniformity in QI research, implementation, and monitoring will be crucial as disease-specific QI develops in neurological care.
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Affiliation(s)
- Aaron Kaplan
- Department of Neurology, New York-Presbyterian Hospital, Weill Cornell Medicine, 525 East 68th Street, NY, New York, USA
| | - Safa Kaleem
- Department of Neurology, New York-Presbyterian Hospital, Weill Cornell Medicine, 525 East 68th Street, NY, New York, USA
| | - Margaret Huynh
- Department of Neurology, New York-Presbyterian Hospital, Weill Cornell Medicine, 525 East 68th Street, NY, New York, USA.
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28
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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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29
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Neuroprognostication. Crit Care Clin 2023; 39:139-152. [DOI: 10.1016/j.ccc.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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30
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Seshadri A, Cuschieri J, Kaups KL, Knowlton LM, Kutcher ME, Pathak A, Rappold J, Rinderknecht T, Stein DM, Young J, Michetti CP. Organ donation in the surgical ICU: an American Association for the Surgery of Trauma Critical Care Committee clinical consensus document. Trauma Surg Acute Care Open 2023; 8:e001107. [PMID: 37205276 PMCID: PMC10186482 DOI: 10.1136/tsaco-2023-001107] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 04/26/2023] [Indexed: 05/21/2023] Open
Affiliation(s)
- Anupamaa Seshadri
- Surgery, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Joseph Cuschieri
- Surgery at ZSFG, University of California San Francisco, San Francisco, California, USA
| | - Krista L Kaups
- Department of Surgery, UCSF Fresno, Fresno, California, USA
| | | | - Matthew E Kutcher
- Surgery, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Abhijit Pathak
- Surgery, Temple University School of Medicine, Philadelphia, Pennsylvania, USA
| | | | | | - Deborah M Stein
- Surgery, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Jason Young
- Surgery, University of Utah Health, Salt Lake City, Utah, USA
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Neurotrauma and Intracranial Pressure Management. Crit Care Clin 2023; 39:103-121. [DOI: 10.1016/j.ccc.2022.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Maas AIR, Steyerberg EW. Commentary: Prognostic Models for Traumatic Brain Injury Have Good Discrimination But Poor Overall Model Performance for Predicting Mortality and Unfavorable Outcomes. Neurosurgery 2022; 91:e164-e165. [PMID: 36269564 DOI: 10.1227/neu.0000000000002177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 08/18/2022] [Indexed: 12/15/2022] Open
Affiliation(s)
- Andrew I R Maas
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - Ewout W Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
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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: 198] [Impact Index Per Article: 99.0] [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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Ray A, Manara AR, Mortimer AM, Thomas I. Brain herniation on computed tomography is a poor predictor of whether patients with a devastating brain injury can be confirmed dead using neurological criteria. J Intensive Care Soc 2022; 23:453-458. [PMID: 36751360 PMCID: PMC9679895 DOI: 10.1177/17511437211040019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background It is unclear if the presence of compartmental brain herniation on neuroimaging should be a prerequisite to the clinical confirmation of death using neurological criteria. The World Brain Death Project has posed this as a research question. Methods The final computed tomography of the head scans before death of 164 consecutive patients confirmed dead using neurological criteria and 41 patients with devastating brain injury who died following withdrawal of life sustaining treatment were assessed by a neuroradiologist to compare the incidence of herniation and other features of cerebral swelling. Results There was no difference in the incidence of herniation in patients confirmed dead using neurological criteria and those with devastating brain injury (79% vs 76%, OR 1.23 95%, CI 0.56-2.67). The sensitivity and specificity of brain herniation in patients confirmed dead using neurological criteria was 79% and 24%, respectively. The positive and negative predictive value was 81% and 23%, respectively. The most sensitive computed tomography of the head findings for death using neurological criteria were diffuse sulcal effacement (93%) and basal cistern effacement (91%) and the most specific finding was loss of grey-white differentiation (80%). The only features with a significantly different incidence between the death using neurological criteria group and the devastating brain injury group were loss of grey-white differentiation (46 vs 20%, OR 3.56, 95% CI 1.55-8.17) and presence of contralateral ventricular dilatation (24 vs 44%, OR 0.41, 95% CI 0.20-0.84). Conclusions Neuroimaging is essential in establishing the cause of death using neurological criteria. However, the presence of brain herniation or other signs of cerebral swelling are poor predictors of whether a patient will satisfy the clinical criteria for death using neurological criteria or not. The decision to test must remain a clinical one.
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Affiliation(s)
- Andrew Ray
- Consultant in Intensive Care
Medicine, Southmead Hospital, Bristol, UK
| | - Alex R Manara
- Consultant in Intensive Care
Medicine, Southmead Hospital, Bristol, UK,Alex R Manara, The Intensive Care Unit,
Southmead Hospital, Southmead Road, Bristol BS10 5NB, UK.
| | - Alex M Mortimer
- Consultant in Neuroradiology, Southmead Hospital, Bristol, UK
| | - Ian Thomas
- Consultant in Intensive Care
Medicine, Southmead Hospital, Bristol, UK
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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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Borazjani R, Ajdari MR, Niakan A, Yousefi O, Amoozandeh A, Sayadi M, Khalili H. Current Status and Outcomes of Critical Traumatic Brain Injury (GCS = 3-5) in a Developing Country: A Retrospective, Registry-Based Study. World J Surg 2022; 46:2335-2343. [PMID: 35789431 DOI: 10.1007/s00268-022-06645-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/12/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Patients sustaining critical TBI [initial Glasgow Coma Scale (GCS) ≤ 5] generally have poor outcomes. Little is known about the frequency, mortality rate, and functional outcomes of such patients in Iran. METHODS In this retrospective, registry-based cohort study, the demographic and clinicoradiological findings of TBI patients were queried from March 21, 2017, to March 21, 2020. We included TBI patients with initial GCS of 3-5. The functional outcome was assessed using the Glasgow Outcome Score-extended 6 (GOSE-6) months after the hospital discharge. Patients were classified as having unfavorable (GOSE-6 ≤ 4) and favorable (GOSE-6 > 4) outcomes. Gathered data were compared between groups. Multivariable logistic regression analysis was done to find factors affecting the outcome. RESULTS Four hundred ninety-seven patients (mean age = 37.59 ± 17.89) were enrolled, and 69.2% had unfavorable outcomes. Elderly patients (age ≥ 65 years) were highly overrepresented among the unfavorable group. 48.9% had bilateral fixed dilated pupils (BDFP), who mostly attained unfavorable outcomes. The overall in-hospital mortality rate was 50.3%. The in-hospital mortality rate was appalling among elderly patients with BFDP and GCS 3( 90%) and GCS 4(100%). Age ≥ 65 years [odds ratio (OR) 3.45, 95% confidence interval (CI) 1.19-10.04], and BFDP (OR 4.48, 95% CI 2.60-7.73) increase the odds of unfavorable outcomes according to the regression analysis. CONCLUSION The survival rate and favorable outcomes of critical TBI patients are generally poor. However, we believe that the neurotrauma surgeons should discuss with patients' proxies and explain the clinical conditions and possible outcomes.
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Affiliation(s)
- Roham Borazjani
- Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Reza Ajdari
- Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Amin Niakan
- Department of Neurosurgery, Trauma Research Center, Shahid Rajaee Trauma Hospital, Shiraz University of Medical Sciences, Chamran Blvd, Shiraz, 7194815711, Iran
| | - Omid Yousefi
- Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Arsham Amoozandeh
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mehrab Sayadi
- Department of Biostatistics, Cardiovascular Research Center,, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hosseinali Khalili
- Department of Neurosurgery, Trauma Research Center, Shahid Rajaee Trauma Hospital, Shiraz University of Medical Sciences, Chamran Blvd, Shiraz, 7194815711, Iran.
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Critical Care Management of Neurotrauma. Neurocrit Care 2022. [DOI: 10.1017/9781108907682.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Steinberg A, Hudoba C, Hwang DY, Kramer NM, Mehta AK, Muehlschlegel S, Jones CA, Besbris J. Top Ten Tips Palliative Care Clinicians Should Know About Disorders of Consciousness: A Focus on Traumatic and Anoxic Brain Injury. J Palliat Med 2022; 25:1571-1578. [PMID: 35639356 DOI: 10.1089/jpm.2022.0202] [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: 11/13/2022] Open
Abstract
Palliative care (PC) teams commonly encounter patients with disorders of consciousness (DOC) following anoxic or traumatic brain injury (TBI). Primary teams may consult PC to help surrogates in making treatment choices for these patients. PC clinicians must understand the complexity of predicting neurologic outcomes, address clinical nihilism, and appropriately guide surrogates in making decisions that are concordant with patients' goals. The purpose of this article was to provide PC providers with a better understanding of caring for patients with DOC, specifically following anoxic or TBI. Many of the tips acknowledge the uncertainty of DOC and provide strategies to help tackle this dilemma.
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Affiliation(s)
- Alexis Steinberg
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.,Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.,Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Christine Hudoba
- Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - David Y Hwang
- Division of Neurocritical Care and Emergency Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Neha M Kramer
- Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Ambereen K Mehta
- Palliative Care Program, Department of Medicine, Johns Hopkins Bayview Medical Center, Baltimore, Maryland, USA.,Department of Neurology, Johns Hopkins Hospital, Baltimore, Maryland, USA
| | - Susanne Muehlschlegel
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.,Department of Anesthesia/Critical Care, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.,Department of Surgery, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Christopher A Jones
- Department of Medicine and Palliative Care Program, Duke University Hospital, Durham, North Carolina, USA
| | - Jessica Besbris
- Department of Internal Medicine and Neurology, Cedars-Sinai Medical Center, Los Angeles, California, USA
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Twitter Journal Club Impact on Engagement Metrics of the Neurocritical Care Journal. Neurocrit Care 2022; 37:129-139. [PMID: 35237920 DOI: 10.1007/s12028-022-01458-7] [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: 12/30/2020] [Accepted: 01/25/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND Twitter journal clubs are a modern way of highlighting articles published in a scientific journal. The Neurocritical Care journal (NCC) initiated a bimonthly, Twitter-based, online journal club in 2015 to increase the outreach of its published articles. We hypothesize that articles included in the Neurocritical Care Society Twitter Journal Club (NCSTJC) had greater engagement than other articles published during the same time period. We also investigated the relationship between number of citations and Altmetric score to assess whether the enhanced online activity resulted in higher citations. METHODS We gathered data in August 2020 on engagement metrics (number of downloads, Altmetric score, relative citation ratio, and number of citations) of all articles published in NCC between 2015 and 2018. Articles were analyzed into two groups: one featured in NCSTJC and the rest that were not (non-NCSTJC1), and the other comprised those that were not in NCSTJC but published under a similar category of articles as NCSTJC (non-NCSTJC2). Results were analyzed using descriptive statistics, and summary measures were used to report the spread. The groups were compared by using the Wilcoxon rank sum test, given that the data were not normally distributed. Spearman's rank correlation was used to assess correlation between Altmetric score and citations for the articles in the NCSTJC and non-NCSTJC groups. For comparison, the top ten cited articles in NCC were analyzed for similar correlations. RESULTS Between 2015 and 2018, NCC published 529 articles, 24 of which were included in the Twitter journal club. A total of 406 articles were published in the same category as the category of articles selected for NCSTJC. The articles discussed as a part of NCSTJC had a statistically significant trend toward a higher number of downloads, Altmetric score, relative citation ratio, and number of citations than rest of the articles published in the journal during the same time period and the rest of the articles published in same categories. Three NCSTJC articles were among the ten most-cited articles published by NCC between 2015 and 2018. We did not find a correlation between Altmetric scores and number of citations in the NCSTJC or non-NCSTJC1 or non-NCSTJC2 group, but there was a strong correlation between these two variables in high performing articles when the top ten cited articles were analyzed. CONCLUSIONS Scientific journals are evolving their social media strategies in attempt to increase the outreach of their articles to the medical community. Platforms such as Twitter journal clubs can enhance such engagement. The long-term influence of such strategies on the impact factor of a medical journal and traditional engagement metrics, such as citations, calls for further research.
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Le Dorze M, Martin-Lefèvre L, Santin G, Robert R, Audibert G, Megarbane B, Puybasset L, Dorez D, Veber B, Kerbaul F, Antoine C. Critical pathways for controlled donation after circulatory death in France. Anaesth Crit Care Pain Med 2022; 41:101029. [PMID: 35121185 DOI: 10.1016/j.accpm.2022.101029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 10/22/2021] [Accepted: 12/06/2021] [Indexed: 11/18/2022]
Abstract
INTRODUCTION In 2015, France authorised controlled donation after circulatory death (cDCD) according to a nationally approved protocol. The aim of this study is to provide an overview from the perspective of critical care specialists of cDCD. The primary objective is to assess how the organ donation procedure affects the withdrawal of life-sustaining therapies (WLST) process. The secondary objective is to assess the impact of cDCD donors' diagnoses on the whole process. MATERIAL AND METHODS This 2015-2019 prospective observational multicentre study evaluated the WLST process in all potential cDCD donors identified nationwide, comparing 2 different sets of subgroups: 1- those whose WLST began after organ donation was ruled out vs. while it was still under consideration; 2- those with a main diagnosis of post-anoxic brain injury (PABI) vs. primary brain injury (PBI) at the time of the WLST decision. RESULTS The study analysed 908 potential cDCD donors. Organ donation remained under consideration at WLST initiation for 54.5% of them with longer intervals between their WLST decision and its initiation (2 [1-4] vs. 1 [1-2] days, P < 0.01). Overall, 60% had post-anoxic brain injury. Time from ICU admission to WLST decision was longer for primary brain injury donors (10 [4-21] vs. 6 [4-9] days, P < 0.01). Median time to death (agonal phase) was 15 [15-20] minutes. CONCLUSIONS French cDCD donors are mostly related to post-anoxic brain injury. The organ donation process does not accelerate WLST decision but increases the interval between the WLST decision and its initiation.
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Affiliation(s)
- Matthieu Le Dorze
- Université de Paris, INSERM, U942 MASCOT, F-75006, paris, france, Department of Anaesthesia and Critical Care Medicine, AP-HP, Hôpital Lariboisière, F-75010, Paris, France.
| | - Laurent Martin-Lefèvre
- Organ Donation Service, Service de Médecine Intensive Réanimation, boulevard Stéphane Moreau, 85000 La Roche-sur-Yon, France
| | - Gaëlle Santin
- Agence de la biomédecine, Medical and Scientific Department, 1, avenue du stade de France, 93212 Saint-Denis, France
| | - René Robert
- University of Poitiers, CHU de Poitiers, Service de Médecine Intensive Réanimation, CIC Inserm 1402, 2, rue de la Milétrie, 86021 Poitiers, France
| | - Gérard Audibert
- University of Lorraine, Department of Anaesthesiology and Critical Care Medicine, Nancy University Hospital, 29, avenue du Maréchal de Lattre de Tassigny, 54035 Nancy, France
| | - Bruno Megarbane
- University of Paris, INSERM UMRS-1144, Department of Medical and Toxicological Critical Care, AP-HP, Lariboisière Hospital, 2, rue Ambroise Paré, 75475 Paris cedex 10, France
| | - Louis Puybasset
- Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, AP-HP, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013 Paris, France
| | - Didier Dorez
- Organ Donation Service, Centre Hospitalier Annecy-genevois, 1, avenue de l'Hôpital, 74370 Epagny Metz-Tessy, France
| | - Benoît Veber
- SFAR Ethics Committee, Surgical Intensive Care Unit, Rouen University Hospital, 37, boulevard Gambetta, 76000 Rouen, France
| | - François Kerbaul
- Agence de la biomédecine, Medical and Scientific Department, 1, avenue du stade de France, 93212 Saint-Denis, France
| | - Corinne Antoine
- Agence de la biomédecine, Medical and Scientific Department, 1, avenue du stade de France, 93212 Saint-Denis, France
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Risco JR, Kelly AG, Holloway RG. Prognostication in neurology. HANDBOOK OF CLINICAL NEUROLOGY 2022; 190:175-193. [PMID: 36055715 DOI: 10.1016/b978-0-323-85029-2.00003-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Prognosticating is central to primary palliative care in neurology. Many neurologic diseases carry a high burden of troubling symptoms, and many individuals consider health states due to neurologic disease worse than death. Many patients and families report high levels of need for information at all disease stages, including information about prognosis. There are many barriers to communicating prognosis including prognostic uncertainty, lack of training and experience, fear of destroying hope, and not enough time. Developing the right mindset, tools, and skills can improve one's ability to formulate and communicate prognosis. Prognosticating is subject to many biases which can dramatically affect the quality of patient care; it is important for providers to recognize and reduce them. Patients and surrogates often do not hear what they are told, and even when they hear correctly, they form their own opinions. With practice and self-reflection, one can improve their prognostic skills, help patients and families create honest roadmaps of the future, and deliver high-quality person-centered care.
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Affiliation(s)
- Jorge R Risco
- Department of Neurology, University of Rochester, Rochester, NY, United States
| | - Adam G Kelly
- Department of Neurology, University of Rochester, Rochester, NY, United States
| | - Robert G Holloway
- Department of Neurology, University of Rochester, Rochester, NY, United States.
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Escudero D, Astola I, Balboa S, Leoz B, Meilan Á, Del Busto C, Quindós B, Forcelledo L, Vizcaino D, Martín L, Salgado E, Viña L. Clinico-radiological related to early brain death factors. Med Intensiva 2021; 46:1-7. [PMID: 34802992 DOI: 10.1016/j.medine.2021.11.005] [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: 10/31/2019] [Revised: 06/09/2020] [Accepted: 06/28/2020] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To identify clinical and radiological factors associated to early evolution to brain death (BD), defined as occurring within the first 24 h. DESIGN A retrospective cohort study was made covering the period 2015-2017. SETTING An adult Intensive Care Unit (ICU). PATIENTS/METHODS Epidemiological, clinical and imaging (CT scan) parameters upon admission to the ICU in patients evolving to BD. RESULTS A total of 166 patients with BD (86 males, mean age 62.7 years) were analyzed. Primary cause: intracerebral hemorrhage 42.8%, subarachnoid hemorrhage 18.7%, traumatic brain injury 17.5%, anoxia 9%, stroke 7.8%, other causes 4.2%. Epidemiological data: arterial hypertension 50%, dyslipidemia 34%, smoking 33%, antiplatelet medication 21%, alcoholism 19%, anticoagulant therapy 15%, diabetes 15%. The Glasgow Coma Score (GCS) upon admission was 3 in 68.8% of the cases in early BD versus in 38.2% of the cases in BD occurring after 24 h (p = 0.0001). Eighty-five patients presented supratentorial hematomas with a volume of 90.9 ml in early BD versus 82.7 ml in BD > 24 h (p = 0.54). The mean midline shift was 10.7 mm in early BD versus 7.8 mm in BD > 24 h (p = 0.045). Ninety-one patients presented ventriculomegaly and 38 additionally ependymal transudation (p = 0.021). Thirty-six patients with early BD versus 24 with BD > 24 h presented complete effacement of basal cisterns (p = 0.005), sulcular effacement (p = 0.013), loss of cortico-subcortical differentiation (p = 0.0001) and effacement of the suprasellar cistern (p = 0.005). The optic nerve sheath measurements showed no significant differences between groups. CONCLUSIONS Early BD (>24 h) was associated to GCS < 5, midline shift, effacement of the basal cisterns, cerebral sulci and suprasellar cistern, and ependymal transudation.
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Affiliation(s)
- D Escudero
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain.
| | - I Astola
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - S Balboa
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - B Leoz
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - Á Meilan
- Sección de Neurorradiología, Servicio de Radiología, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - C Del Busto
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - B Quindós
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - L Forcelledo
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - D Vizcaino
- Sección de Neurorradiología, Servicio de Radiología, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - L Martín
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - E Salgado
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - L Viña
- Servicio de Medicina Intensiva, Hospital Universitario Central de Asturias, Oviedo, Spain
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Maciel CB. Neurologic Outcome Prediction in the Intensive Care Unit. Continuum (Minneap Minn) 2021; 27:1405-1429. [PMID: 34618766 DOI: 10.1212/con.0000000000001053] [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: 11/15/2022]
Abstract
PURPOSE OF REVIEW The burden of severe and disabling neurologic injury on survivors, families, and society can be profound. Neurologic outcome prediction, or neuroprognostication, is a complex undertaking with many important ramifications. It allows patients with good prognoses to be supported aggressively, survive, and recover; conversely, it avoids inappropriate prolonged and costly care in those with devastating injuries. RECENT FINDINGS Striving to maintain a high prediction performance during prognostic assessments encompasses acknowledging the shortcomings of this task and the challenges created by advances in medicine, which constantly shift the natural history of neurologic conditions. Embracing the unknowns of outcome prediction and the boundaries of knowledge surrounding neurologic recovery and plasticity is a necessary step toward refining neuroprognostication practices and improving the accuracy of prognostic impressions. The pillars of modern neuroprognostication include comprehensive characterization of neurologic injury burden (primary and secondary injuries), gauging cerebral resilience and estimated neurologic reserve, and tying it all together with individual values surrounding the acceptable extent of disability and the difficulties of an arduous convalescence journey. SUMMARY Comprehensive multimodal frameworks of neuroprognostication using different prognostic tools to portray the burden of neurologic injury coupled with the characterization of individual values and the degree of cerebral reserve and resilience are the cornerstone of modern outcome prediction.
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Lücking KM, Söffker G. [Organ donation: A treatment option in end-of life intensive care?]. Dtsch Med Wochenschr 2021; 146:1077-1084. [PMID: 34416776 DOI: 10.1055/a-1004-6781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
A newly issued policy statement of the German Medical Association considers organ donation as an integral part of end-of-life intensive care in patients with devastating brain afflictions. Hence, patients' wishes towards organ donation and medical suitability should be evaluated when prognosis is considered futile and goals of treatment need to be reconsidered. Continuation of intensive care treatment towards the (mandatory) diagnosis of "brain death" and subsequently towards organ donation has to be legitimatized by patients' explicit wishes (organ donor card, advanced directive) or by surrogate decisions makers. Intensive care facilitating organ donation should be goal-directed and follow established guidelines. Thus, a potential recovery of transplantable organs is supported by appropriate intensive care treatment. Decisions to employ extended intensive care options (like extracorporeal circulatory support or cardiopulmonary resuscitation) in potential organ donors should be carefully outbalanced with patients' wishes, organ donation being considered an achievable goal and even potential frictions in medical teams.
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Occurrence and timing of withdrawal of life-sustaining measures in traumatic brain injury patients: a CENTER-TBI study. Intensive Care Med 2021; 47:1115-1129. [PMID: 34351445 PMCID: PMC8486724 DOI: 10.1007/s00134-021-06484-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 07/14/2021] [Indexed: 12/16/2022]
Abstract
Background In patients with severe brain injury, withdrawal of life-sustaining measures (WLSM) is common in intensive care units (ICU). WLSM constitutes a dilemma: instituting WLSM too early could result in death despite the possibility of an acceptable functional outcome, whereas delaying WLSM could unnecessarily burden patients, families, clinicians, and hospital resources. We aimed to describe the occurrence and timing of WLSM, and factors associated with timing of WLSM in European ICUs in patients with traumatic brain injury (TBI). Methods The CENTER-TBI Study is a prospective multi-center cohort study. For the current study, patients with traumatic brain injury (TBI) admitted to the ICU and aged 16 or older were included. Occurrence and timing of WLSM were documented. For the analyses, we dichotomized timing of WLSM in early (< 72 h after injury) versus later (≥ 72 h after injury) based on recent guideline recommendations. We assessed factors associated with initiating WLSM early versus later, including geographic region, center, patient, injury, and treatment characteristics with univariable and multivariable (mixed effects) logistic regression. Results A total of 2022 patients aged 16 or older were admitted to the ICU. ICU mortality was 13% (n = 267). Of these, 229 (86%) patients died after WLSM, and were included in the analyses. The occurrence of WLSM varied between regions ranging from 0% in Eastern Europe to 96% in Northern Europe. In 51% of the patients, WLSM was early. Patients in the early WLSM group had a lower maximum therapy intensity level (TIL) score than patients in the later WLSM group (median of 5 versus 10) The strongest independent variables associated with early WLSM were one unreactive pupil (odds ratio (OR) 4.0, 95% confidence interval (CI) 1.3–12.4) or two unreactive pupils (OR 5.8, CI 2.6–13.1) compared to two reactive pupils, and an Injury Severity Score (ISS) if over 41 (OR per point above 41 = 1.1, CI 1.0–1.1). Timing of WLSM was not significantly associated with region or center. Conclusion WLSM occurs early in half of the patients, mostly in patients with severe TBI affecting brainstem reflexes who were severely injured. We found no regional or center influences in timing of WLSM. Whether WLSM is always appropriate or may contribute to a self-fulfilling prophecy requires further research and argues for reluctance to institute WLSM early in case of any doubt on prognosis. Supplementary Information The online version contains supplementary material available at 10.1007/s00134-021-06484-1.
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CAEP Position Statement - Management of devastating brain injuries in the emergency department: Enhancing neuroprognostication and maintaining the opportunity for organ and tissue donation. CAN J EMERG MED 2021; 22:658-660. [PMID: 32618532 PMCID: PMC7509745 DOI: 10.1017/cem.2020.357] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The primary purpose of this statement is to improve neuroprognostication after devastating brain injury (DBI), with a secondary benefit of potential organ and tissue donation.
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Research Needs for Prognostic Modeling and Trajectory Analysis in Patients with Disorders of Consciousness. Neurocrit Care 2021; 35:55-67. [PMID: 34236623 DOI: 10.1007/s12028-021-01289-y] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 05/22/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND The current state of the science regarding the care and prognosis of patients with disorders of consciousness is limited. Scientific advances are needed to improve the accuracy, relevance, and approach to prognostication, thereby providing the foundation to develop meaningful and effective interventions. METHODS To address this need, an interdisciplinary expert panel was created as part of the Coma Science Working Group of the Neurocritical Care Society Curing Coma Campaign. RESULTS The panel performed a gap analysis which identified seven research needs for prognostic modeling and trajectory analysis ("recovery science") in patients with disorders of consciousness: (1) to define the variables that predict outcomes; (2) to define meaningful intermediate outcomes at specific time points for different endotypes; (3) to describe recovery trajectories in the absence of limitations to care; (4) to harness big data and develop analytic methods to prognosticate more accurately; (5) to identify key elements and processes for communicating prognostic uncertainty over time; (6) to identify health care delivery models that facilitate recovery and recovery science; and (7) to advocate for changes in the health care delivery system needed to advance recovery science and implement already-known best practices. CONCLUSION This report summarizes the current research available to inform the proposed research needs, articulates key elements within each area, and discusses the goals and advances in recovery science and care anticipated by successfully addressing these needs.
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Williamson T, Ryser MD, Ubel PA, Abdelgadir J, Spears CA, Liu B, Komisarow J, Lemmon ME, Elsamadicy A, Lad SP. Withdrawal of Life-supporting Treatment in Severe Traumatic Brain Injury. JAMA Surg 2021; 155:723-731. [PMID: 32584926 DOI: 10.1001/jamasurg.2020.1790] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Importance There are limited data on which factors affect the critical and complex decision to withdraw life-supporting treatment (LST) in patients with severe traumatic brain injury (sTBI). Objective To determine demographic and clinical factors associated with the decision to withdraw LST in patients with sTBI. Design, Setting, and Participants This retrospective analysis of inpatient data from more than 825 trauma centers across the US in the American College of Surgeons Trauma Quality Improvement Program database from January 2013 to December 2015 included adult patients with sTBI and documentation of a decision regarding withdrawal of LST (WLST). Data analysis was conducted in September 2019. Main Outcomes and Measures Factors associated with WLST in sTBI. Results A total of 37931 patients (9817 women [25.9%]) were included in the multivariable analysis; 7864 (20.7%) had WLST. Black patients (4806 [13.2%]; odds ratio [OR], 0.66; 95% CI, 0.59-0.72; P < .001) and patients of other race (4798 [13.2%]; OR, 0.83; 95% CI, 0.76-0.91; P < .001) were less likely than white patients (26 864 [73.7%]) to have WLST. Patients from hospitals in the Midwest (OR, 1.12; 95% CI, 1.04-1.20; P = .002) or Northeast (OR, 1.23; 95% CI, 1.13-1.34; P < .001) were more likely to have WLST than patients from hospitals in the South. Patients with Medicare (OR, 1.55; 95% CI, 1.43-1.69; P < .001) and self-pay patients (OR, 1.36; 95% CI, 1.25-1.47; P < .001) were more likely to have WLST than patients with private insurance. Older patients and those with lower Glasgow Coma Scale scores, higher Injury Severity Scores, or craniotomy were generally more likely to have WLST. Withdrawal of LST was more likely for patients with functionally dependent health status (OR, 1.30; 95% CI, 1.08-1.58; P = .01), hematoma (OR, 1.19; 95% CI, 1.12-1.27; P < .001), dementia (OR, 1.29; 95% CI, 1.08-1.53; P = .004), and disseminated cancer (OR, 2.82; 95% CI, 2.07-3.82; P < .001) than for patients without these conditions. Conclusions and Relevance Withdrawal of LST is common in sTBI and socioeconomic factors are associated with the decision to withdraw LST. These results highlight the many factors that contribute to decision-making in sTBI and demonstrate that in a complex and variable disease process, variation based on race, payment, and region presents as a potential challenge.
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Affiliation(s)
- Theresa Williamson
- Duke University Medical Center, Department of Neurosurgery, Durham, North Carolina.,Duke University School of Medicine, Duke University, Durham, North Carolina
| | - Marc D Ryser
- Duke University Medical Center, Department of Population Health Sciences, Durham, North Carolina
| | - Peter A Ubel
- Duke-Margolis Center for Health Policy, Durham, North Carolina.,The Fuqua School of Business, Duke University, Durham, North Carolina
| | - Jihad Abdelgadir
- Duke University Medical Center, Department of Neurosurgery, Durham, North Carolina.,Duke University School of Medicine, Duke University, Durham, North Carolina
| | - Charis A Spears
- Duke University Medical Center, Department of Neurosurgery, Durham, North Carolina.,Duke University School of Medicine, Duke University, Durham, North Carolina
| | - Beiyu Liu
- Duke University School of Medicine, Duke University, Durham, North Carolina
| | - Jordan Komisarow
- Duke University Medical Center, Department of Neurosurgery, Durham, North Carolina.,Duke University School of Medicine, Duke University, Durham, North Carolina
| | - Monica E Lemmon
- Duke University School of Medicine, Duke University, Durham, North Carolina.,Duke University Medical Center, Department of Pediatrics, Durham, North Carolina
| | - Aladine Elsamadicy
- Duke University Medical Center, Department of Neurosurgery, Durham, North Carolina
| | - Shivanand P Lad
- Duke University Medical Center, Department of Neurosurgery, Durham, North Carolina.,Duke University School of Medicine, Duke University, Durham, North Carolina
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Weiss MJ, van Beinum A, Harvey D, Chandler JA. Ethical considerations in the use of pre-mortem interventions to support deceased organ donation: A scoping review. Transplant Rev (Orlando) 2021; 35:100635. [PMID: 34174656 DOI: 10.1016/j.trre.2021.100635] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 06/03/2021] [Accepted: 06/05/2021] [Indexed: 10/21/2022]
Abstract
AIM Pre-mortem interventions (PMIs) are performed on patients before the determination of death in order to preserve or enhance the possibility of organ donation. These interventions can be ethically controversial, and we thus undertook a scoping review of the ethical issues surrounding diverse PMIs. METHODS Using modified scoping review methods, we executed a search strategy created by an information specialist. Screening and iterative coding of each article was done by two researchers using qualitative thematic analysis, and narrative summaries of coded themes were presented. RESULTS We identified and screened 5365 references and coded 196 peer-reviewed publications. The most frequently cited issues were related to possible harms to the patient who is a potential donor, and legitimacy of consent. The most controversial issue was that PMIs may place patients at risk for physical harm, yet benefit is accrued mainly to recipients. Some authors argued that lack of direct medical benefit to the still living patient precluded valid consent from surrogate decision makers (SDMs), while many stated that some medical risk could be approved by SDMs if it aligns with non-medical benefits valued by the patient. CONCLUSION PMIs require consensus that benefit includes concepts beyond medical benefit to the patient who is a potential donor. Informed consent must be confirmed for each PMI and not assumed to be part of general consent for donation. Risk must be proportionate to the potential benefit and newly proposed interventions should be reviewed carefully for medical efficacy and potential risks.
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Affiliation(s)
- Matthew J Weiss
- Transplant Québec, 4100 Rue Molson #200, Montréal, QC H1Y 3N1, Canada; Canadian Donation and Transplantation Research Program (CDTRP), Room 6002, Li Ka Shing Centre for Health Research Innovation, University of Alberta, Edmonton, AB T6G 2E1, Canada; Division of Pediatric Intensive Care, Centre Mère-Enfant Soleil du CHU de Québec, 2705 boul Laurier, Québec, Québec, Canada.
| | - Amanda van Beinum
- Canadian Donation and Transplantation Research Program (CDTRP), Room 6002, Li Ka Shing Centre for Health Research Innovation, University of Alberta, Edmonton, AB T6G 2E1, Canada; Department of Sociology and Anthropology, B750 Loeb Building, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada
| | - Dan Harvey
- Nottingham University Hospital NHS Trust, Derby Road, Nottingham NG72UH, UK; University of Nottingham, University Park, Nottingham NG72RD, UK; National Health Services Blood & Transplant, Fox Den Road, Stoke Gifford, Avon, Bristol BS348RR, UK
| | - Jennifer A Chandler
- Canadian Donation and Transplantation Research Program (CDTRP), Room 6002, Li Ka Shing Centre for Health Research Innovation, University of Alberta, Edmonton, AB T6G 2E1, Canada; Bertram Loeb Research Chair, University of Ottawa, 57 Louis Pasteur St., Ottawa, Ontario K1N 6N5, Canada; Centre for Health Law, Policy and Ethics, Faculty of Law, University of Ottawa, 57 Louis Pasteur St., Ottawa, Ontario K1N 6N5, Canada.
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