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Tringali D, Carli B, Chelazzi C, Villa G, Lanini I, Bianchi A, Amato A, Romagnoli S, Lauro Grotto R. The emotional involvement of physicians in the Oncology Intensive Care Unit: a phenomenological-hermeneutic study. Front Psychol 2024; 15:1447612. [PMID: 39309148 PMCID: PMC11413587 DOI: 10.3389/fpsyg.2024.1447612] [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: 06/11/2024] [Accepted: 08/20/2024] [Indexed: 09/25/2024] Open
Abstract
Background This phenomenological-hermeneutic study is about the experiences of physicians in the Oncology Intensive Care Unit of the Careggi University Hospital, in Florence. The Oncology Intensive Care Unit is a place of great emotional impact and can be create stressful situations. The emotional labor can lead to the development of cynicism, depersonalization and emotional exhaustion. The objective of the study was to learn about and come into contact with the experiences of operators who operate in a highly specialized and critical context. Method A semi-structured interview was conducted on 11 physicians in the Oncology Intensive Care Unit of careggi hospital. The interviews were transcribed and subjected to content analysis using the phenomenological-hermeneutic method. The results concerning the emotional involvement of doctors were placed in three macro categories: difficulties, what helps and needs. Results The interviews highlight the difficulty doctors have in coming into contact with the potentially deadly disease and a further aggravating element appears to be the identification with the patient himself. This condition of difficulty can lead doctors to commit medical errors or to reduce the quality of care. Conclusion The results that emerged provide a more detailed understanding of the landscape of emotional reactions of working with the cancer patient in the intensive care unit. In light of the high emotional burden and the inherent possibility of developing burnout in this target population of health care workers, knowing the main critical issues and needs reported may facilitate a more effective tailored intervention.
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Affiliation(s)
| | | | - Cosimo Chelazzi
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Gianluca Villa
- Department of Health Sciences, Section of Anesthesiology, Intensive Care and Pain Medicine, University of Florence, Florence, Italy
| | - Iacopo Lanini
- FILE-Fondazione Italiana di Leniterapia, Florence, Italy
| | - Antonio Bianchi
- Department of Health Sciences, Section of Psychology, University of Florence, Florence, Italy
| | | | - Stefano Romagnoli
- Department of Health Sciences, Section of Anesthesiology, Intensive Care and Pain Medicine, University of Florence, Florence, Italy
| | - Rosapia Lauro Grotto
- Department of Health Sciences, Section of Psychology, University of Florence, Florence, Italy
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Egawa S, Ader J, Shen Q, Nakagawa S, Fujimoto Y, Fujii S, Masuda K, Shirota A, Ota M, Yoshino Y, Amai H, Miyao S, Nakamoto H, Kuroda Y, Doyle K, Grobois L, Vrosgou A, Carmona JC, Velazquez A, Ghoshal S, Roh D, Agarwal S, Park S, Claassen J. Long-Term Outcomes of Patients with Stroke Predicted by Clinicians to have no Chance of Meaningful Recovery: A Japanese Cohort Study. Neurocrit Care 2023; 38:733-740. [PMID: 36450972 PMCID: PMC10227183 DOI: 10.1007/s12028-022-01644-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 11/08/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND Little is known about the natural history of comatose patients with brain injury, as in many countries most of these patients die in the context of withdrawal of life-sustaining therapies (WLSTs). The accuracy of predicting recovery that is used to guide goals-of-care decisions is uncertain. We examined long-term outcomes of patients with ischemic or hemorrhagic stroke predicted by experienced clinicians to have no chance of meaningful recovery in Japan, where WLST in patients with isolated neurological disease is uncommon. METHODS We retrospectively reviewed the medical records of all patients admitted with acute ischemic stroke, intracerebral hemorrhage, or nontraumatic subarachnoid hemorrhage between January 2018 and December 2020 to a neurocritical care unit at Toda Medical Group Asaka Medical Center in Saitama, Japan. We screened for patients who were predicted by the attending physician on postinjury day 1-4 to have no chance of meaningful recovery. Primary outcome measures were disposition at hospital discharge and the ability to follow commands and functional outcomes measured by the Glasgow Outcome Scale-Extended (GOS-E), which was assessed 6 months after injury. RESULTS From 860 screened patients, we identified 40 patients (14 with acute ischemic stroke, 19 with intracerebral hemorrhage, and 7 with subarachnoid hemorrhage) who were predicted to have no chance of meaningful recovery. Median age was 77 years (interquartile range 64-85), 53% (n = 21) were women, and 80% (n = 32) had no functional deficits prior to hospitalization. Six months after injury, 17 patients were dead, 14 lived in a long-term care hospital, 3 lived at home, 2 lived in a rehabilitation center, and 2 lived in a nursing home. Three patients reliably followed commands, two were in a vegetative state (GOS-E 2), four fully depended on others and required constant assistance (GOS-E 3), one could be left alone independently for 8 h per day but remained dependent (GOS-E 4), and one was independent and able to return to work-like activities (GOS-E 5). CONCLUSIONS In the absence of WLST, almost half of the patients predicted shortly after the injury to have no chance of meaningful recovery were dead 6 months after the injury. A small minority of patients had good functional recovery, highlighting the need for more accurate neurological prognostication.
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Affiliation(s)
- Satoshi Egawa
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA
- Department of Neurointensive Care, Toda Medical Group Asaka Medical Center, Saitama, Japan
- Department of Neurosurgery, Stroke and Epilepsy Center, Toda Medical Group Asaka Medical Center, Saitama, Japan
| | - Jeremy Ader
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA
| | - Qi Shen
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA
| | - Shun Nakagawa
- Department of Neurointensive Care, Toda Medical Group Asaka Medical Center, Saitama, Japan
| | - Yoshihisa Fujimoto
- Department of Neurointensive Care, Toda Medical Group Asaka Medical Center, Saitama, Japan
| | - Shuichi Fujii
- Department of Neurointensive Care, Toda Medical Group Asaka Medical Center, Saitama, Japan
| | - Kenta Masuda
- Department of Rehabilitation, Toda Medical Group Asaka Medical Center, Saitama, Japan
| | - Akira Shirota
- Department of Rehabilitation, Toda Medical Group Asaka Medical Center, Saitama, Japan
| | - Masafumi Ota
- Department of Rehabilitation, Toda Medical Group Asaka Medical Center, Saitama, Japan
| | - Yuji Yoshino
- Department of Rehabilitation, Toda Medical Group Asaka Medical Center, Saitama, Japan
| | - Hitomi Amai
- Department of Social Work, Toda Medical Group Asaka Medical Center, Saitama, Japan
| | - Satoru Miyao
- Department of Neurosurgery, Stroke and Epilepsy Center, Toda Medical Group Asaka Medical Center, Saitama, Japan
| | - Hidetoshi Nakamoto
- Department of Neurosurgery, Stroke and Epilepsy Center, Toda Medical Group Asaka Medical Center, Saitama, Japan
| | - Yasuhiro Kuroda
- Emergency Medical Center, Kagawa University Hospital, Kagawa, Japan
| | - Kevin Doyle
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA
| | - Lauren Grobois
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA
| | - Athina Vrosgou
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA
| | - Jerina C Carmona
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA
| | - Angela Velazquez
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA
| | - Shivani Ghoshal
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA
| | - David Roh
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA
| | - Sachin Agarwal
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA
| | - Soojin Park
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA
- Department of Biomedical Informatics, Columbia University Medical Center, New York-Presbyterian Hospital, New York, NY, USA
| | - Jan Claassen
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA.
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Brown J, Kaelin D, Mattingly E, Mello C, Miller ES, Mitchell G, Picon LM, Waldron-Perine B, Wolf TJ, Frymark T, Bowen R. American Speech-Language-Hearing Association Clinical Practice Guideline: Cognitive Rehabilitation for the Management of Cognitive Dysfunction Associated With Acquired Brain Injury. AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY 2022; 31:2455-2526. [PMID: 36373898 DOI: 10.1044/2022_ajslp-21-00361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
BACKGROUND Cognitive-communication impairments following acquired brain injury (ABI) can have devastating effects on a person's ability to participate in community, social, vocational, and academic preinjury roles and responsibilities. Guidelines for evidence-based practices are needed to assist speech-language pathologists (SLPs) and other rehabilitation specialists in the delivery of cognitive rehabilitation for the adult population. PURPOSE The American Speech-Language-Hearing Association, in conjunction with a multidisciplinary panel of subject matter experts, developed this guideline to identify best practice recommendations for the delivery of cognitive rehabilitation to adults with cognitive dysfunction associated with ABI. METHOD A multidisciplinary panel identified 19 critical questions to be addressed in the guideline. Literature published between 1980 and 2020 was identified based on a set of a priori inclusion/exclusion criteria, and main findings were pooled and organized into summary of findings tables. Following the principles of the Grading of Recommendations Assessment, Development and Evaluation Evidence to Decision Framework, the panel drafted recommendations, when appropriate, based on the findings, overall quality of the evidence, balance of benefits and harms, patient preferences, resource implications, and the feasibility and acceptability of cognitive rehabilitation. RECOMMENDATIONS This guideline includes one overarching evidence-based recommendation that addresses the management of cognitive dysfunction following ABI and 11 subsequent recommendations focusing on cognitive rehabilitation treatment approaches, methods, and manner of delivery. In addition, this guideline includes an overarching consensus-based recommendation and seven additional consensus recommendations highlighting the role of the SLP in the screening, assessment, and treatment of adults with cognitive dysfunction associated with ABI. Future research considerations are also discussed.
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Affiliation(s)
| | | | | | | | - E Sam Miller
- Maryland State Department of Education, Baltimore
| | | | | | | | | | - Tobi Frymark
- American Speech-Language-Hearing Association, Rockville, MD
| | - Rebecca Bowen
- American Speech-Language-Hearing Association, Rockville, MD
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Muehlschlegel S, Goostrey K, Flahive J, Zhang Q, Pach JJ, Hwang DY. Pilot Randomized Clinical Trial of a Goals-of-Care Decision Aid for Surrogates of Patients With Severe Acute Brain Injury. Neurology 2022; 99:e1446-e1455. [PMID: 35853748 PMCID: PMC9576301 DOI: 10.1212/wnl.0000000000200937] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 05/19/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Breakdowns in clinician-family communication in neurologic intensive care units (neuroICUs) are common, particularly for goals-of-care decisions to continue or withdraw life-sustaining treatments while considering long-term prognoses. Shared decision-making interventions (decision aids [DAs]) may prevent this problem and increase patient-centered care, yet none are currently available. We assessed the feasibility, acceptability, and perceived usefulness of a DA for goals-of-care communication with surrogate decision makers for critically ill patients with severe acute brain injury (SABI) after hemispheric acute ischemic stroke, intracerebral hemorrhage, or traumatic brain injury. METHODS We conducted a parallel-arm, unblinded, patient-level randomized, controlled pilot trial at 2 tertiary care US neuroICUs and randomized surrogate participants 1:1 to a tailored paper-based DA provided to surrogates before clinician-family goals-of-care meetings or usual care (no intervention before clinician-family meetings). The primary outcomes were feasibility of deploying the DA (recruitment, participation, and retention), acceptability, and perceived usefulness of the DA among surrogates. Exploratory outcomes included outcome of surrogate goals-of-care decision, code status changes during admission, patients' 3-month functional outcome, and surrogates' 3-month validated psychological outcomes. RESULTS We approached 83 surrogates of 58 patients and enrolled 66 surrogates of 41 patients (80% consent rate). Of 66 surrogates, 45 remained in the study at 3 months (68% retention). Of the 33 surrogates randomized to intervention, 27 were able to receive the DA, and 25 subsequently read the DA (93% participation). Eighty-two percent rated the DA's acceptability as good or excellent (median acceptability score 2 [IQR 2-3]); 96% found it useful for goals-of-care decision making. In the DA group, there was a trend toward fewer comfort care decisions (27% vs 56%, p = 0.1) and fewer code status changes (no change, 73% vs 44%, p = 0.02). At 3 months, fewer patients in the DA group had died (33% vs 69%, p = 0.05; median Glasgow Outcome Scale 3 vs1, p = 0.05). Regardless of intervention, 3-month psychological outcomes were significantly worse among surrogates who had chosen continuation of care. DISCUSSION A goals-of-care DA to support ICU shared decision making for patients with SABI is feasible to deploy and well perceived by surrogates. A larger trial is feasible to conduct, although surrogates who select continuation of care deserve additional psychosocial support. CLINICAL TRIALS REGISTRATION Clinicaltrials.gov NCT03833375. CLASSIFICATION OF EVIDENCE This study provides Class IV evidence that the use of a DA explaining the goals-of-care decision and the treatment options is acceptable and useful to surrogates of incapacitated critically ill patients with ischemic stroke, intracerebral hemorrhage, or traumatic brain injury.
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Affiliation(s)
- Susanne Muehlschlegel
- From the Departments of Neurology (S.M., K.G.), Anesthesiology (S.M.), Surgery (S.M.), and Population and Quantitative Health Sciences (J.F.), University of Massachusetts Chan Medical School, Worcester; and Division of Neurocritical Care and Emergency Neurology (Q.Z., J.J.P., D.Y.H.), Department of Neurology, Yale School of Medicine, New Haven, CT.
| | - Kelsey Goostrey
- From the Departments of Neurology (S.M., K.G.), Anesthesiology (S.M.), Surgery (S.M.), and Population and Quantitative Health Sciences (J.F.), University of Massachusetts Chan Medical School, Worcester; and Division of Neurocritical Care and Emergency Neurology (Q.Z., J.J.P., D.Y.H.), Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Julie Flahive
- From the Departments of Neurology (S.M., K.G.), Anesthesiology (S.M.), Surgery (S.M.), and Population and Quantitative Health Sciences (J.F.), University of Massachusetts Chan Medical School, Worcester; and Division of Neurocritical Care and Emergency Neurology (Q.Z., J.J.P., D.Y.H.), Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Qiang Zhang
- From the Departments of Neurology (S.M., K.G.), Anesthesiology (S.M.), Surgery (S.M.), and Population and Quantitative Health Sciences (J.F.), University of Massachusetts Chan Medical School, Worcester; and Division of Neurocritical Care and Emergency Neurology (Q.Z., J.J.P., D.Y.H.), Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Jolanta J Pach
- From the Departments of Neurology (S.M., K.G.), Anesthesiology (S.M.), Surgery (S.M.), and Population and Quantitative Health Sciences (J.F.), University of Massachusetts Chan Medical School, Worcester; and Division of Neurocritical Care and Emergency Neurology (Q.Z., J.J.P., D.Y.H.), Department of Neurology, Yale School of Medicine, New Haven, CT
| | - David Y Hwang
- From the Departments of Neurology (S.M., K.G.), Anesthesiology (S.M.), Surgery (S.M.), and Population and Quantitative Health Sciences (J.F.), University of Massachusetts Chan Medical School, Worcester; and Division of Neurocritical Care and Emergency Neurology (Q.Z., J.J.P., D.Y.H.), Department of Neurology, Yale School of Medicine, New Haven, CT
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5
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Fischer D, Edlow BL, Giacino JT, Greer DM. Neuroprognostication: a conceptual framework. Nat Rev Neurol 2022; 18:419-427. [PMID: 35352033 PMCID: PMC9326772 DOI: 10.1038/s41582-022-00644-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/03/2022] [Indexed: 11/09/2022]
Abstract
Neuroprognostication, or the prediction of recovery from disorders of consciousness caused by severe brain injury, is as critical as it is complex. With profound implications for mortality and quality of life, neuroprognostication draws upon an intricate set of biomedical, probabilistic, psychosocial and ethical factors. However, the clinical approach to neuroprognostication is often unsystematic, and consequently, variable among clinicians and prone to error. Here, we offer a stepwise conceptual framework for reasoning through neuroprognostic determinations - including an evaluation of neurological function, estimation of a recovery trajectory, definition of goals of care and consideration of patient values - culminating in a clinically actionable formula for weighing the risks and benefits of life-sustaining treatment. Although the complexity of neuroprognostication might never be fully reducible to arithmetic, this systematic approach provides structure and guidance to supplement clinical judgement and direct future investigation.
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Affiliation(s)
- David Fischer
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Brian L Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
| | - David M Greer
- Department of Neurology, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA
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Hwang DY. Patients' Families, Physicians, and Nurses: Trying to See Eye-to-Eye Regarding Prognosis in Neurocritical Care. Neurocrit Care 2022; 37:10-11. [PMID: 35476246 DOI: 10.1007/s12028-022-01503-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 02/28/2022] [Indexed: 10/18/2022]
Affiliation(s)
- David Y Hwang
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, PO Box 208018, New Haven, CT, 06520, USA. .,Center for Neuroepidemiology and Clinical Neurological Research, Yale School of Medicine, New Haven, CT, USA.
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7
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Goostrey K, Muehlschlegel S. Prognostication and shared decision making in neurocritical care. BMJ 2022; 377:e060154. [PMID: 35696329 DOI: 10.1136/bmj-2021-060154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Prognostication is crucial in the neurological intensive care unit (neuroICU). Patients with severe acute brain injury (SABI) are unable to make their own decisions because of the insult itself or sedation needs. Surrogate decision makers, usually family members, must make decisions on the patient's behalf. However, many are unprepared for their role as surrogates owing to the sudden and unexpected nature of SABI. Surrogates rely on clinicians in the neuroICU to provide them with an outlook (prognosis) with which to make substituted judgments and decide on treatments and goals of care on behalf of the patient. Therefore, how a prognostic estimate is derived, and then communicated, is extremely important. Prognostication in the neuroICU is highly variable between clinicians and institutions, and evidence based guidelines are lacking. Shared decision making (SDM), where surrogates and clinicians arrive together at an individualized decision based on patient values and preferences, has been proposed as an opportunity to improve clinician-family communication and ensure that patients receive treatments they would choose. This review outlines the importance and current challenges of prognostication in the neuroICU and how prognostication and SDM intersect, based on relevant research and expert opinion.
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Affiliation(s)
- Kelsey Goostrey
- Department of neurology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Susanne Muehlschlegel
- Department of neurology, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Department of anesthesiology/critical care, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Department of surgery, University of Massachusetts Chan Medical School, Worcester, MA, USA
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8
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The Experiences and Needs of Families of Comatose Patients After Cardiac Arrest and Severe Neurotrauma: The Perspectives of National Key Stakeholders During a National Institutes of Health–Funded Workshop. Crit Care Explor 2022; 4:e0648. [PMID: 35265851 PMCID: PMC8901216 DOI: 10.1097/cce.0000000000000648] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Severe acute brain injury (SABI) from cardiac arrest and traumatic brain injury happens suddenly and unexpectedly, carrying high potential for lifelong disability with substantial prognostic uncertainty. Comprehensive assessments of family experiences and support needs after SABI are lacking. Our objective is to elicit “on-the-ground” perspectives about the experiences and needs of families of patients with SABI.
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9
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Zhan Y, Yu J, Chen Y, Liu Y, Wang Y, Wan Y, Li S. Family caregivers' experiences and needs of transitional care during the transfer from intensive care unit to a general ward: A qualitative study. J Nurs Manag 2021; 30:592-599. [PMID: 34799985 DOI: 10.1111/jonm.13518] [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: 08/19/2021] [Revised: 11/11/2021] [Accepted: 11/14/2021] [Indexed: 11/28/2022]
Abstract
AIM To explore the family caregivers' experiences and needs of transitional care during the transfer from an intensive care unit to a general ward in China. BACKGROUND The transfer of patients from the intensive care unit to the ward is a vulnerable time for patients and caregivers, exposing the risk of readmission and death. However, there are few qualitative studies on the family caregivers' views of transitional care for their loved ones in China. METHODS With a qualitative research design, 15 interviews were conducted with 15 family caregivers of hospitalized patients transferred from the neurosurgery ICU to the general ward. Colaizzi's (1978) method of data analysis was performed using the NVivo 11.0 software. RESULTS Based on data analysis, four themes were obtained: perception of transfer decision, the experience of transitional care, the obstacles to maintaining care efficiency and demand for transitional care. CONCLUSION In order to enhance the continuity of care and improve patient safety during the transfer from an ICU to a general ward in China, priorities should be given to the implementation of effective strategies and methods, including providing psychological and emotional support, encouraging active participation of caregivers, and various communication and collaboration procedures. IMPLICATIONS FOR NURSING MANAGEMENT The findings from this study can be used as a guide to better preparation and awareness among health care professionals to achieve the much-needed demands of family caregivers, as well as the increased quality of transitional care.
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Affiliation(s)
- Yuxin Zhan
- Department of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiaohua Yu
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Chen
- Department of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yufang Liu
- Department of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yingyue Wang
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yali Wan
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Suyun Li
- Department of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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10
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Lazaridis C, Goldenberg FD, Mansour A, Kramer C, Tate A. What Does Coma Mean? Implications for Shared Decision Making in Acute Brain Injury. World Neurosurg 2021; 158:e377-e385. [PMID: 34763107 DOI: 10.1016/j.wneu.2021.10.185] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 10/28/2021] [Accepted: 10/29/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Insufficient attention has been devoted to shared decision-making (SDM) in the setting of acute brain injury (ABI). Communication occupies a central role that has been highlighted in recent research on SDM with brain injured patients, with respect to "the impact of specific clinician words and expressions". In this investigation, we seek to understand lay public understandings of the term "coma." METHODS Qualitative analysis of lay interpretations of the term "cComa" using modified open coding of a free-text response question at the end of a survey exploring public attitudes in the context of hypothetical ABI. Respondents (n = 511) were drawn from a convenience sample using Amazon Mechanical Turk. This analysis focuses on respondents' free-text responses to the question: "When doctors say a patient is in a coma, what does that mean?" RESULTS We analyzed 206 unique responses in order to derive emergent lay conceptualizations of coma. The following 4 themes emerged in how respondents understood coma: (1) State descriptive. (2) Marker of injury severity. (3) As in distinction (or lack thereof) from brain death or sleep. (4) Covert consciousness. For each concept, we discuss its salient elements and offer representative quotes. CONCLUSIONS This study provides preliminary qualitative evidence of lay public understandings of the neurologic term "coma". These findings can have implications for surrogate/family-clinician communications. While a physician may intend "coma" to convey a technical description, a family member or surrogate may interpret it as a very different activity (e.g., prognostication, emotional signaling), setting the stage for miscommunication.
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Affiliation(s)
- Christos Lazaridis
- Departments of Neurology and Neurosurgery, Neurocritical Care Unit, The University of Chicago, Chicago, Illinois, USA.
| | - Fernando D Goldenberg
- Departments of Neurology and Neurosurgery, Neurocritical Care Unit, The University of Chicago, Chicago, Illinois, USA
| | - Ali Mansour
- Departments of Neurology and Neurosurgery, Neurocritical Care Unit, The University of Chicago, Chicago, Illinois, USA
| | - Christopher Kramer
- Departments of Neurology and Neurosurgery, Neurocritical Care Unit, The University of Chicago, Chicago, Illinois, USA
| | - Alexandra Tate
- Department of Medicine, The University of Chicago, Chicago, Illinois, USA
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11
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Muehlschlegel S. When Doctors and Families Disagree in the Neurologic Intensive Care Unit-Misunderstandings and Optimistic Beliefs. JAMA Netw Open 2021; 4:e2129079. [PMID: 34673969 DOI: 10.1001/jamanetworkopen.2021.29079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Susanne Muehlschlegel
- Department of Neurology (Neurocritical Care), University of Massachusetts Medical School, Worcester
- Department of Anesthesiology, University of Massachusetts Medical School, Worcester
- Department of Surgery, University of Massachusetts Medical School, Worcester
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Gao L, Zhao CW, Hwang DY. End-of-Life Care Decision-Making in Stroke. Front Neurol 2021; 12:702833. [PMID: 34650502 PMCID: PMC8505717 DOI: 10.3389/fneur.2021.702833] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/31/2021] [Indexed: 12/21/2022] Open
Abstract
Stroke is one of the leading causes of death and long-term disability in the United States. Though advances in interventions have improved patient survival after stroke, prognostication of long-term functional outcomes remains challenging, thereby complicating discussions of treatment goals. Stroke patients who require intensive care unit care often do not have the capacity themselves to participate in decision making processes, a fact that further complicates potential end-of-life care discussions after the immediate post-stroke period. Establishing clear, consistent communication with surrogates through shared decision-making represents best practice, as these surrogates face decisions regarding artificial nutrition, tracheostomy, code status changes, and withdrawal or withholding of life-sustaining therapies. Throughout decision-making, clinicians must be aware of a myriad of factors affecting both provider recommendations and surrogate concerns, such as cognitive biases. While decision aids have the potential to better frame these conversations within intensive care units, aids specific to goals-of-care decisions for stroke patients are currently lacking. This mini review highlights the difficulties in decision-making for critically ill ischemic stroke and intracerebral hemorrhage patients, beginning with limitations in current validated clinical scales and clinician subjectivity in prognostication. We outline processes for identifying patient preferences when possible and make recommendations for collaborating closely with surrogate decision-makers on end-of-life care decisions.
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Affiliation(s)
- Lucy Gao
- Yale School of Medicine, New Haven, CT, United States
| | | | - David Y. Hwang
- Division of Neurocritical Care and Emergency Neurology, Yale School of Medicine, New Haven, CT, United States
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13
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Azad TD. Opinion & Special Articles: Shared Decision-Making During the COVID-19 Pandemic: Three Bullets in 3 Hemispheres. Neurology 2021; 96:e2558-e2560. [PMID: 33692167 DOI: 10.1212/wnl.0000000000011811] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Patients with traumatic brain injury may be dependent on the decision-making of their families. Restrictive visitation policies implemented during the coronavirus disease 2019 (COVID-19) pandemic disproportionately affect these patients and their families. This narrative aims to illustrate this phenomenon and catalyze discussions regarding the need for careful evaluation of restrictive family visitation policies and exceptions that may be required for patients with brain injuries.
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Affiliation(s)
- Tej D Azad
- From the Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD.
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Goostrey KJ, Lee C, Jones K, Quinn T, Moskowitz J, Pach JJ, Knies AK, Shutter L, Goldberg R, Mazor KM, Hwang DY, Muehlschlegel S. Adapting a Traumatic Brain Injury Goals-of-Care Decision Aid for Critically Ill Patients to Intracerebral Hemorrhage and Hemispheric Acute Ischemic Stroke. Crit Care Explor 2021; 3:e0357. [PMID: 33786434 PMCID: PMC7994105 DOI: 10.1097/cce.0000000000000357] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVES Families in the neurologic ICU urgently request goals-of-care decision support and shared decision-making tools. We recently developed a goals-of-care decision aid for surrogates of critically ill traumatic brain injury patients using a systematic development process adherent to the International Patient Decision Aid Standards. To widen its applicability, we adapted this decision aid to critically ill patients with intracerebral hemorrhage and large hemispheric acute ischemic stroke. DESIGN Prospective observational study. SETTING Two academic neurologic ICUs. SUBJECTS Twenty family members of patients in the neurologic ICU were recruited from July 2018 to October 2018. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS We reviewed the existing critically ill traumatic brain injury patients decision aid for content and changed: 1) the essential background information, 2) disease-specific terminology to "hemorrhagic stroke" and "ischemic stroke", and 3) disease-specific prognosis tailored to individual patients. We conducted acceptability and usability testing using validated scales. All three decision aids contain information from validated, disease-specific outcome prediction models, as recommended by international decision aid standards, including careful emphasis on their uncertainty. We replaced the individualizable icon arrays graphically depicting probabilities of a traumatic brain injury patient's prognosis with icon arrays visualizing intracerebral hemorrhage and hemispheric acute ischemic stroke prognostic probabilities using high-quality disease-specific data. We selected the Intracerebral Hemorrhage Score with validated 12-month outcomes, and for hemispheric acute ischemic stroke, the 12-month outcomes from landmark hemicraniectomy trials. Twenty family members participated in acceptability and usability testing (n = 11 for the intracerebral hemorrhage decision aid; n = 9 for the acute ischemic stroke decision aid). Median usage time was 22 minutes (interquartile range, 16-26 min). Usability was excellent (median System Usability Scale = 84/100 [interquartile range, 61-93; with > 68 indicating good usability]); 89% of participants graded the decision aid content as good or excellent, and greater than or equal to 90% rated it favorably for information amount, balance, and comprehensibility. CONCLUSIONS We successfully adapted goals-of-care decision aids for use in surrogates of critically ill patients with intracerebral hemorrhage and hemispheric acute ischemic stroke and found excellent usability and acceptability. A feasibility trial using these decision aids is currently ongoing to further validate their acceptability and test their feasibility for use in busy neurologic ICUs.
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Affiliation(s)
- Kelsey J. Goostrey
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA
| | - Christopher Lee
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA
| | - Kelsey Jones
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA
| | - Thomas Quinn
- Department of Medicine, Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA
| | - Jesse Moskowitz
- Department of Psychiatry, Brown Medical School, Providence, RI
| | - Jolanta J. Pach
- Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Andrea K. Knies
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT
| | - Lori Shutter
- Departments of Critical Care Medicine and Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Robert Goldberg
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA
| | - Kathleen M. Mazor
- Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA
- Department of Internal Medicine, University of Massachusetts Medical School, Worcester, MA
| | - David Y. Hwang
- Division of Neurocritical Care and Emergency Neurology, Yale School of Medicine, New Haven, CT
- Center for Neuroepidemiology and Clinical Neurological Research, Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Susanne Muehlschlegel
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA
- Department of Anesthesiology/Critical Care, University of Massachusetts Medical School, Worcester, MA
- Department of Surgery, University of Massachusetts Medical School, Worcester, MA
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15
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Wartenberg KE, Hwang DY, Haeusler KG, Muehlschlegel S, Sakowitz OW, Madžar D, Hamer HM, Rabinstein AA, Greer DM, Hemphill JC, Meixensberger J, Varelas PN. Gap Analysis Regarding Prognostication in Neurocritical Care: A Joint Statement from the German Neurocritical Care Society and the Neurocritical Care Society. Neurocrit Care 2020; 31:231-244. [PMID: 31368059 PMCID: PMC6757096 DOI: 10.1007/s12028-019-00769-6] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Background/Objective Prognostication is a routine part of the delivery of neurocritical care for most patients with acute neurocritical illnesses. Numerous prognostic models exist for many different conditions. However, there are concerns about significant gaps in knowledge regarding optimal methods of prognostication. Methods As part of the Arbeitstagung NeuroIntensivMedizin meeting in February 2018 in Würzburg, Germany, a joint session on prognostication was held between the German NeuroIntensive Care Society and the Neurocritical Care Society. The purpose of this session was to provide presentations and open discussion regarding existing prognostic models for eight common neurocritical care conditions (aneurysmal subarachnoid hemorrhage, intracerebral hemorrhage, acute ischemic stroke, traumatic brain injury, traumatic spinal cord injury, status epilepticus, Guillain–Barré Syndrome, and global cerebral ischemia from cardiac arrest). The goal was to develop a qualitative gap analysis regarding prognostication that could help inform a future framework for clinical studies and guidelines. Results Prognostic models exist for all of the conditions presented. However, there are significant gaps in prognostication in each condition. Furthermore, several themes emerged that crossed across several or all diseases presented. Specifically, the self-fulfilling prophecy, lack of accounting for medical comorbidities, and absence of integration of in-hospital care parameters were identified as major gaps in most prognostic models. Conclusions Prognostication in neurocritical care is important, and current prognostic models are limited. This gap analysis provides a summary assessment of issues that could be addressed in future studies and evidence-based guidelines in order to improve the process of prognostication.
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Affiliation(s)
- Katja E Wartenberg
- Neurocritical Care and Stroke Unit, Department of Neurology, University of Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany.
| | - David Y Hwang
- Department of Neurology, Yale School of Medicine, P.O. Box 208018, New Haven, CT, 06520-8018, USA
| | - Karl Georg Haeusler
- Department of Neurology, Universitätsklinikum Würzburg, Josef-Schneider-Strasse 11, 97080, Würzburg, Germany
| | - Susanne Muehlschlegel
- Department of Neurology, Anesthesiology and Surgery, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA
| | - Oliver W Sakowitz
- Neurosurgery Center Ludwigsburg-Heilbronn, RKH Klinikum Ludwigsburg, Posilipostrasse 4, 71640, Ludwigsburg, Germany
| | - Dominik Madžar
- Department of Neurology, University of Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Hajo M Hamer
- Department of Neurology, University of Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany
| | | | - David M Greer
- Department of Neurology, Boston University Medical Center, 72 East Concord St, Boston, MA, 02118, USA
| | - J Claude Hemphill
- Department of Neurology, University of California San Francisco, 1001 Potrero Ave, San Francisco, CA, 94110, USA
| | - Juergen Meixensberger
- Department of Neurosurgery, University of Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany
| | - Panayiotis N Varelas
- Department of Neurology and Neurosurgery, Henry Ford Hospital, 2799 W. Grand Blvd Neurosurgery - K-11, Detroit, MI, 48202, USA
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16
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Muehlschlegel S, Hwang DY, Flahive J, Quinn T, Lee C, Moskowitz J, Goostrey K, Jones K, Pach JJ, Knies AK, Shutter L, Goldberg R, Mazor KM. Goals-of-care decision aid for critically ill patients with TBI: Development and feasibility testing. Neurology 2020; 95:e179-e193. [PMID: 32554766 DOI: 10.1212/wnl.0000000000009770] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 12/17/2019] [Indexed: 01/21/2023] Open
Abstract
OBJECTIVE To develop and demonstrate early feasibility of a goals-of-care decision aid for surrogates of patients who are critically ill with traumatic brain injury (ciTBI) that meets accepted international decision aid guidelines. METHODS We developed the decision aid in 4 stages: (1) qualitative study of goals-of-care communication and decision needs of 36 stakeholders of ciTBI (surrogates and physicians), which informed (2) development of paper-based decision aid with iterative revisions after feedback from 52 stakeholders; (3) acceptability and usability testing in 18 neurologic intensive care unit (neuroICU) family members recruited from 2 neuroICU waiting rooms using validated scales; and (4) open-label, randomized controlled feasibility trial in surrogates of ciTBI. We performed an interim analysis of 16 surrogates of 12 consecutive patients who are ciTBI to confirm early feasibility of the study protocol and report recruitment, participation, and retention rates to date. RESULTS The resultant goals-of-care decision aid achieved excellent usability (median System Usability Scale 87.5 [possible range 0-100]) and acceptability (97% graded the tool's content as "good" or "excellent"). Early feasibility of the decision aid and the feasibility trial protocol was demonstrated by high rates of recruitment (73% consented), participation (100%), and retention (100% both after the goals-of-care clinician-family meeting and at 3 months) and complete data for the measurements of all secondary decision-related and behavioral outcomes to date. CONCLUSIONS Our systematic development process resulted in a novel goals-of-care decision aid for surrogates of patients who are ciTBI with excellent usability, acceptability, and early feasibility in the neuroICU environment, and meets international decision aid standards. This methodology may be a development model for other decision aids in neurology to promote shared decision-making.
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Affiliation(s)
- Susanne Muehlschlegel
- From the Departments of Neurology (S.M., C.L., K.G., K.J.), Anesthesiology/Critical Care (S.M.), Surgery (S.M.), Population and Quantitative Health Sciences (J.F., R.G.), Meyers Primary Care Institute (K.M.M.), and Internal Medicine (K.M.M.), University of Massachusetts Medical School, Worcester; Center for Neuroepidemiology and Clinical Neurological Research (D.Y.H.) and Department of Neurology (D.Y.H., J.J.P., A.K.K.), Yale School of Medicine, New Haven, CT; Department of Medicine (T.Q.), Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry (J.M.), Brown Medical School, Providence, RI; and Departments of Critical Care Medicine and Neurology (L.S.), University of Pittsburgh School of Medicine, PA.
| | - David Y Hwang
- From the Departments of Neurology (S.M., C.L., K.G., K.J.), Anesthesiology/Critical Care (S.M.), Surgery (S.M.), Population and Quantitative Health Sciences (J.F., R.G.), Meyers Primary Care Institute (K.M.M.), and Internal Medicine (K.M.M.), University of Massachusetts Medical School, Worcester; Center for Neuroepidemiology and Clinical Neurological Research (D.Y.H.) and Department of Neurology (D.Y.H., J.J.P., A.K.K.), Yale School of Medicine, New Haven, CT; Department of Medicine (T.Q.), Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry (J.M.), Brown Medical School, Providence, RI; and Departments of Critical Care Medicine and Neurology (L.S.), University of Pittsburgh School of Medicine, PA
| | - Julie Flahive
- From the Departments of Neurology (S.M., C.L., K.G., K.J.), Anesthesiology/Critical Care (S.M.), Surgery (S.M.), Population and Quantitative Health Sciences (J.F., R.G.), Meyers Primary Care Institute (K.M.M.), and Internal Medicine (K.M.M.), University of Massachusetts Medical School, Worcester; Center for Neuroepidemiology and Clinical Neurological Research (D.Y.H.) and Department of Neurology (D.Y.H., J.J.P., A.K.K.), Yale School of Medicine, New Haven, CT; Department of Medicine (T.Q.), Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry (J.M.), Brown Medical School, Providence, RI; and Departments of Critical Care Medicine and Neurology (L.S.), University of Pittsburgh School of Medicine, PA
| | - Thomas Quinn
- From the Departments of Neurology (S.M., C.L., K.G., K.J.), Anesthesiology/Critical Care (S.M.), Surgery (S.M.), Population and Quantitative Health Sciences (J.F., R.G.), Meyers Primary Care Institute (K.M.M.), and Internal Medicine (K.M.M.), University of Massachusetts Medical School, Worcester; Center for Neuroepidemiology and Clinical Neurological Research (D.Y.H.) and Department of Neurology (D.Y.H., J.J.P., A.K.K.), Yale School of Medicine, New Haven, CT; Department of Medicine (T.Q.), Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry (J.M.), Brown Medical School, Providence, RI; and Departments of Critical Care Medicine and Neurology (L.S.), University of Pittsburgh School of Medicine, PA
| | - Christopher Lee
- From the Departments of Neurology (S.M., C.L., K.G., K.J.), Anesthesiology/Critical Care (S.M.), Surgery (S.M.), Population and Quantitative Health Sciences (J.F., R.G.), Meyers Primary Care Institute (K.M.M.), and Internal Medicine (K.M.M.), University of Massachusetts Medical School, Worcester; Center for Neuroepidemiology and Clinical Neurological Research (D.Y.H.) and Department of Neurology (D.Y.H., J.J.P., A.K.K.), Yale School of Medicine, New Haven, CT; Department of Medicine (T.Q.), Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry (J.M.), Brown Medical School, Providence, RI; and Departments of Critical Care Medicine and Neurology (L.S.), University of Pittsburgh School of Medicine, PA
| | - Jesse Moskowitz
- From the Departments of Neurology (S.M., C.L., K.G., K.J.), Anesthesiology/Critical Care (S.M.), Surgery (S.M.), Population and Quantitative Health Sciences (J.F., R.G.), Meyers Primary Care Institute (K.M.M.), and Internal Medicine (K.M.M.), University of Massachusetts Medical School, Worcester; Center for Neuroepidemiology and Clinical Neurological Research (D.Y.H.) and Department of Neurology (D.Y.H., J.J.P., A.K.K.), Yale School of Medicine, New Haven, CT; Department of Medicine (T.Q.), Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry (J.M.), Brown Medical School, Providence, RI; and Departments of Critical Care Medicine and Neurology (L.S.), University of Pittsburgh School of Medicine, PA
| | - Kelsey Goostrey
- From the Departments of Neurology (S.M., C.L., K.G., K.J.), Anesthesiology/Critical Care (S.M.), Surgery (S.M.), Population and Quantitative Health Sciences (J.F., R.G.), Meyers Primary Care Institute (K.M.M.), and Internal Medicine (K.M.M.), University of Massachusetts Medical School, Worcester; Center for Neuroepidemiology and Clinical Neurological Research (D.Y.H.) and Department of Neurology (D.Y.H., J.J.P., A.K.K.), Yale School of Medicine, New Haven, CT; Department of Medicine (T.Q.), Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry (J.M.), Brown Medical School, Providence, RI; and Departments of Critical Care Medicine and Neurology (L.S.), University of Pittsburgh School of Medicine, PA
| | - Kelsey Jones
- From the Departments of Neurology (S.M., C.L., K.G., K.J.), Anesthesiology/Critical Care (S.M.), Surgery (S.M.), Population and Quantitative Health Sciences (J.F., R.G.), Meyers Primary Care Institute (K.M.M.), and Internal Medicine (K.M.M.), University of Massachusetts Medical School, Worcester; Center for Neuroepidemiology and Clinical Neurological Research (D.Y.H.) and Department of Neurology (D.Y.H., J.J.P., A.K.K.), Yale School of Medicine, New Haven, CT; Department of Medicine (T.Q.), Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry (J.M.), Brown Medical School, Providence, RI; and Departments of Critical Care Medicine and Neurology (L.S.), University of Pittsburgh School of Medicine, PA
| | - Jolanta J Pach
- From the Departments of Neurology (S.M., C.L., K.G., K.J.), Anesthesiology/Critical Care (S.M.), Surgery (S.M.), Population and Quantitative Health Sciences (J.F., R.G.), Meyers Primary Care Institute (K.M.M.), and Internal Medicine (K.M.M.), University of Massachusetts Medical School, Worcester; Center for Neuroepidemiology and Clinical Neurological Research (D.Y.H.) and Department of Neurology (D.Y.H., J.J.P., A.K.K.), Yale School of Medicine, New Haven, CT; Department of Medicine (T.Q.), Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry (J.M.), Brown Medical School, Providence, RI; and Departments of Critical Care Medicine and Neurology (L.S.), University of Pittsburgh School of Medicine, PA
| | - Andrea K Knies
- From the Departments of Neurology (S.M., C.L., K.G., K.J.), Anesthesiology/Critical Care (S.M.), Surgery (S.M.), Population and Quantitative Health Sciences (J.F., R.G.), Meyers Primary Care Institute (K.M.M.), and Internal Medicine (K.M.M.), University of Massachusetts Medical School, Worcester; Center for Neuroepidemiology and Clinical Neurological Research (D.Y.H.) and Department of Neurology (D.Y.H., J.J.P., A.K.K.), Yale School of Medicine, New Haven, CT; Department of Medicine (T.Q.), Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry (J.M.), Brown Medical School, Providence, RI; and Departments of Critical Care Medicine and Neurology (L.S.), University of Pittsburgh School of Medicine, PA
| | - Lori Shutter
- From the Departments of Neurology (S.M., C.L., K.G., K.J.), Anesthesiology/Critical Care (S.M.), Surgery (S.M.), Population and Quantitative Health Sciences (J.F., R.G.), Meyers Primary Care Institute (K.M.M.), and Internal Medicine (K.M.M.), University of Massachusetts Medical School, Worcester; Center for Neuroepidemiology and Clinical Neurological Research (D.Y.H.) and Department of Neurology (D.Y.H., J.J.P., A.K.K.), Yale School of Medicine, New Haven, CT; Department of Medicine (T.Q.), Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry (J.M.), Brown Medical School, Providence, RI; and Departments of Critical Care Medicine and Neurology (L.S.), University of Pittsburgh School of Medicine, PA
| | - Robert Goldberg
- From the Departments of Neurology (S.M., C.L., K.G., K.J.), Anesthesiology/Critical Care (S.M.), Surgery (S.M.), Population and Quantitative Health Sciences (J.F., R.G.), Meyers Primary Care Institute (K.M.M.), and Internal Medicine (K.M.M.), University of Massachusetts Medical School, Worcester; Center for Neuroepidemiology and Clinical Neurological Research (D.Y.H.) and Department of Neurology (D.Y.H., J.J.P., A.K.K.), Yale School of Medicine, New Haven, CT; Department of Medicine (T.Q.), Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry (J.M.), Brown Medical School, Providence, RI; and Departments of Critical Care Medicine and Neurology (L.S.), University of Pittsburgh School of Medicine, PA
| | - Kathleen M Mazor
- From the Departments of Neurology (S.M., C.L., K.G., K.J.), Anesthesiology/Critical Care (S.M.), Surgery (S.M.), Population and Quantitative Health Sciences (J.F., R.G.), Meyers Primary Care Institute (K.M.M.), and Internal Medicine (K.M.M.), University of Massachusetts Medical School, Worcester; Center for Neuroepidemiology and Clinical Neurological Research (D.Y.H.) and Department of Neurology (D.Y.H., J.J.P., A.K.K.), Yale School of Medicine, New Haven, CT; Department of Medicine (T.Q.), Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry (J.M.), Brown Medical School, Providence, RI; and Departments of Critical Care Medicine and Neurology (L.S.), University of Pittsburgh School of Medicine, PA
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Hwang DY, Knies AK, Mampre D, Kolenikov S, Schalk M, Hammer H, White DB, Holloway RG, Sheth KN, Fraenkel L. Concerns of surrogate decision makers for patients with acute brain injury: A US population survey. Neurology 2020; 94:e2054-e2068. [PMID: 32341190 PMCID: PMC7282883 DOI: 10.1212/wnl.0000000000009406] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Accepted: 12/03/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine whether groups of surrogates for patients with severe acute brain injury (SABI) with poor prognosis can be identified based on their prioritization of goals-of-care (GOC) decisional concerns, an online survey of 1,588 adults recruited via a probability-based panel representative of the US population was conducted. METHODS Participants acted as a surrogate for a GOC decision for a hypothetical patient with SABI and were randomized to 1 of 2 prognostic scenarios: the patient likely being left with a range of severe functional disability (SD) or remaining in a vegetative state (VS). Participants prioritized a list of 12 decisional concerns via best-worst scaling. Latent class analysis (LCA) was used to discover decisional groups. RESULTS The completion rate was 44.6%; data weighting was conducted to mitigate nonresponse bias. For 792 SD respondents, LCA revealed 4 groups. All groups shared concerns regarding respecting patient wishes and minimizing suffering. The 4 groups were otherwise distinguished by unique concerns that their members highlighted: an older adult remaining severely disabled (34.4%), family consensus (26.4%), doubt regarding prognostic accuracy (20.7%), and cost of long-term care (18.6%). For the 796 VS respondents, LCA revealed 5 groups. Four of the 5 groups had similar concern profiles to the 4 SD groups. The largest (29.0%) expressed the most prognostic doubt. An additional group (15.8%) prioritized religious concerns. CONCLUSIONS Although surrogate decision makers for patients with SABI are concerned with respecting patient wishes and minimizing suffering, certain groups highly prioritize other specific decisional factors. These data can help inform future interventions for supporting decision makers.
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Affiliation(s)
- David Y Hwang
- From the Yale School of Medicine (DYH, AKK, KNS), Division of Neurocritical Care and Emergency Neurology, Department of Neurology, New Haven, CT; Johns Hopkins School of Medicine (DM), Baltimore, MD; Abt Associates (SK), Columbia, MO; Abt Associates (MS), Chicago, IL; Booz Allen Hamilton (HH), Social Science Group, Washington, DC; Department of Critical Care Medicine (DBW), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Neurology (RGH), University of Rochester Medical Center, Rochester, NY; and Yale School of Medicine (LF), Department of Internal Medicine, New Haven, CT.
| | - Andrea K Knies
- From the Yale School of Medicine (DYH, AKK, KNS), Division of Neurocritical Care and Emergency Neurology, Department of Neurology, New Haven, CT; Johns Hopkins School of Medicine (DM), Baltimore, MD; Abt Associates (SK), Columbia, MO; Abt Associates (MS), Chicago, IL; Booz Allen Hamilton (HH), Social Science Group, Washington, DC; Department of Critical Care Medicine (DBW), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Neurology (RGH), University of Rochester Medical Center, Rochester, NY; and Yale School of Medicine (LF), Department of Internal Medicine, New Haven, CT
| | - David Mampre
- From the Yale School of Medicine (DYH, AKK, KNS), Division of Neurocritical Care and Emergency Neurology, Department of Neurology, New Haven, CT; Johns Hopkins School of Medicine (DM), Baltimore, MD; Abt Associates (SK), Columbia, MO; Abt Associates (MS), Chicago, IL; Booz Allen Hamilton (HH), Social Science Group, Washington, DC; Department of Critical Care Medicine (DBW), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Neurology (RGH), University of Rochester Medical Center, Rochester, NY; and Yale School of Medicine (LF), Department of Internal Medicine, New Haven, CT
| | - Stanislav Kolenikov
- From the Yale School of Medicine (DYH, AKK, KNS), Division of Neurocritical Care and Emergency Neurology, Department of Neurology, New Haven, CT; Johns Hopkins School of Medicine (DM), Baltimore, MD; Abt Associates (SK), Columbia, MO; Abt Associates (MS), Chicago, IL; Booz Allen Hamilton (HH), Social Science Group, Washington, DC; Department of Critical Care Medicine (DBW), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Neurology (RGH), University of Rochester Medical Center, Rochester, NY; and Yale School of Medicine (LF), Department of Internal Medicine, New Haven, CT
| | - Marci Schalk
- From the Yale School of Medicine (DYH, AKK, KNS), Division of Neurocritical Care and Emergency Neurology, Department of Neurology, New Haven, CT; Johns Hopkins School of Medicine (DM), Baltimore, MD; Abt Associates (SK), Columbia, MO; Abt Associates (MS), Chicago, IL; Booz Allen Hamilton (HH), Social Science Group, Washington, DC; Department of Critical Care Medicine (DBW), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Neurology (RGH), University of Rochester Medical Center, Rochester, NY; and Yale School of Medicine (LF), Department of Internal Medicine, New Haven, CT
| | - Heather Hammer
- From the Yale School of Medicine (DYH, AKK, KNS), Division of Neurocritical Care and Emergency Neurology, Department of Neurology, New Haven, CT; Johns Hopkins School of Medicine (DM), Baltimore, MD; Abt Associates (SK), Columbia, MO; Abt Associates (MS), Chicago, IL; Booz Allen Hamilton (HH), Social Science Group, Washington, DC; Department of Critical Care Medicine (DBW), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Neurology (RGH), University of Rochester Medical Center, Rochester, NY; and Yale School of Medicine (LF), Department of Internal Medicine, New Haven, CT
| | - Douglas B White
- From the Yale School of Medicine (DYH, AKK, KNS), Division of Neurocritical Care and Emergency Neurology, Department of Neurology, New Haven, CT; Johns Hopkins School of Medicine (DM), Baltimore, MD; Abt Associates (SK), Columbia, MO; Abt Associates (MS), Chicago, IL; Booz Allen Hamilton (HH), Social Science Group, Washington, DC; Department of Critical Care Medicine (DBW), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Neurology (RGH), University of Rochester Medical Center, Rochester, NY; and Yale School of Medicine (LF), Department of Internal Medicine, New Haven, CT
| | - Robert G Holloway
- From the Yale School of Medicine (DYH, AKK, KNS), Division of Neurocritical Care and Emergency Neurology, Department of Neurology, New Haven, CT; Johns Hopkins School of Medicine (DM), Baltimore, MD; Abt Associates (SK), Columbia, MO; Abt Associates (MS), Chicago, IL; Booz Allen Hamilton (HH), Social Science Group, Washington, DC; Department of Critical Care Medicine (DBW), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Neurology (RGH), University of Rochester Medical Center, Rochester, NY; and Yale School of Medicine (LF), Department of Internal Medicine, New Haven, CT
| | - Kevin N Sheth
- From the Yale School of Medicine (DYH, AKK, KNS), Division of Neurocritical Care and Emergency Neurology, Department of Neurology, New Haven, CT; Johns Hopkins School of Medicine (DM), Baltimore, MD; Abt Associates (SK), Columbia, MO; Abt Associates (MS), Chicago, IL; Booz Allen Hamilton (HH), Social Science Group, Washington, DC; Department of Critical Care Medicine (DBW), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Neurology (RGH), University of Rochester Medical Center, Rochester, NY; and Yale School of Medicine (LF), Department of Internal Medicine, New Haven, CT
| | - Liana Fraenkel
- From the Yale School of Medicine (DYH, AKK, KNS), Division of Neurocritical Care and Emergency Neurology, Department of Neurology, New Haven, CT; Johns Hopkins School of Medicine (DM), Baltimore, MD; Abt Associates (SK), Columbia, MO; Abt Associates (MS), Chicago, IL; Booz Allen Hamilton (HH), Social Science Group, Washington, DC; Department of Critical Care Medicine (DBW), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Neurology (RGH), University of Rochester Medical Center, Rochester, NY; and Yale School of Medicine (LF), Department of Internal Medicine, New Haven, CT
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18
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LaBuzetta JN, Rosand J, Vranceanu AM. Review: Post-Intensive Care Syndrome: Unique Challenges in the Neurointensive Care Unit. Neurocrit Care 2019; 31:534-545. [PMID: 31486026 PMCID: PMC7007600 DOI: 10.1007/s12028-019-00826-0] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Within the last couple of decades, advances in critical care medicine have led to increased survival of critically ill patients, as well as the discovery of notable, long-term health challenges in survivors and their loved ones. The terms post-intensive care syndrome (PICS) and PICS-family (PICS-F) have been used in non-neurocritical care populations to characterize the cognitive, psychiatric, and physical sequelae associated with critical care hospitalization in survivors and their informal caregivers (e.g., family and friends who provide unpaid care). In this review, we first summarize the literature on the cognitive, psychiatric, and physical correlates of PICS and PICS-F in non-neurocritical patient populations and draw attention to their long-term negative health consequences. Next, keeping in mind the distinction between disease-related neurocognitive changes and those that are associated directly with the experience of a critical illness, we review the neuropsychological sequelae among patients with common neurocritical illnesses. We acknowledge the clinical factors contributing to the difficulty in studying PICS in the neurocritical care patient population, provide recommendations for future lines of research, and encourage collaboration among critical care physicians in all specialties to facilitate continuity of care and to help elucidate mechanism(s) of PICS and PICS-F in all critical illness survivors. Finally, we discuss the importance of early detection of PICS and PICS-F as an opportunity for multidisciplinary interventions to prevent and treat new neuropsychological deficits in the neurocritical care population.
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Affiliation(s)
- Jamie Nicole LaBuzetta
- Division of Neurocritical Care, Department of Neurosciences, University of California-San Diego, 9444 Medical Center Drive, ECOB 3-028, MC 7740, La Jolla, CA, 92037, USA.
| | - Jonathan Rosand
- Division of Neurocritical Care and Emergency Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, USA
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, USA
| | - Ana-Maria Vranceanu
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, USA
- Integrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, USA
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19
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Smith M, Reddy U, Robba C, Sharma D, Citerio G. Acute ischaemic stroke: challenges for the intensivist. Intensive Care Med 2019; 45:1177-1189. [PMID: 31346678 DOI: 10.1007/s00134-019-05705-y] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 07/17/2019] [Indexed: 12/25/2022]
Abstract
PURPOSE To provide an update about the rapidly developing changes in the critical care management of acute ischaemic stroke patients. METHODS A narrative review was conducted in five general areas of acute ischaemic stroke management: reperfusion strategies, anesthesia for endovascular thrombectomy, intensive care unit management, intracranial complications, and ethical considerations. RESULTS The introduction of effective reperfusion strategies, including IV thrombolysis and endovascular thrombectomy, has revolutionized the management of acute ischaemic stroke and transformed outcomes for patients. Acute therapeutic efforts are targeted to restoring blood flow to the ischaemic penumbra before irreversible tissue injury has occurred. To optimize patient outcomes, secondary insults, such as hypotension, hyperthermia, or hyperglycaemia, that can extend the penumbral area must also be prevented or corrected. The ICU management of acute ischaemic stroke patients, therefore, focuses on the optimization of systemic physiological homeostasis, management of intracranial complications, and neurological and haemodynamic monitoring after reperfusion therapies. Meticulous blood pressure management is of central importance in improving outcomes, particularly in patients that have undergone reperfusion therapies. CONCLUSIONS While consensus guidelines are available to guide clinical decision making after acute ischaemic stroke, there is limited high-quality evidence for many of the recommended interventions. However, a bundle of medical, endovascular, and surgical strategies, when applied in a timely and consistent manner, can improve long-term stroke outcomes.
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Affiliation(s)
- M Smith
- Neurocritical Care Unit, The National Hospital for Neurology and Neurosurgery, University College London Hospitals, Queen Square, London, UK. .,Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
| | - U Reddy
- Neurocritical Care Unit, The National Hospital for Neurology and Neurosurgery, University College London Hospitals, Queen Square, London, UK
| | - C Robba
- Department of Anaesthesia and Intensive Care, Policlinico San Martino IRCCS for Oncology and Neuroscience, Genoa, Italy
| | - D Sharma
- Division of Neuroanesthesiology and Perioperative Neurosciences, Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, USA
| | - G Citerio
- School of Medicine and Surgery, University of Milan-Bicocca, Milan, Italy.,Neurointensive Care Unit, San Gerardo Hospital, ASST-Monza, Monza, MB, Italy
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20
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Menon DK, Kolias AG, Servadei F, Hutchinson PJ. Survival with disability. Whose life is it, anyway? Br J Anaesth 2019; 119:1062-1063. [PMID: 29077829 DOI: 10.1093/bja/aex374] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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21
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Withdrawal of Life-Sustaining Treatments in Perceived Devastating Brain Injury: The Key Role of Uncertainty. Neurocrit Care 2019; 30:33-41. [PMID: 30143963 DOI: 10.1007/s12028-018-0595-8] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Withdrawal of life-sustaining treatment (WOLST) is the leading proximate cause of death in patients with perceived devastating brain injury (PDBI). There are reasons to believe that a potentially significant proportion of WOLST decisions, in this setting, are premature and guided by a number of assumptions that falsely confer a sense of certainty. METHOD This manuscript proposes that these assumptions face serious challenges, and that we should replace unwarranted certainty with an appreciation for the great degree of multi-dimensional uncertainty involved. The article proceeds by offering a taxonomy of uncertainty in PDBI and explores the key role that uncertainty as a cognitive state, may play into how WOLST decisions are reached. CONCLUSION In order to properly share decision-making with families and surrogates of patients with PDBI, we will have to acknowledge, understand, and be able to communicate the great degree of uncertainty involved.
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22
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Bobeff EJ, Fortuniak J, Bobeff KŁ, Wiśniewski K, Wójcik R, Stefańczyk L, Jaskólski DJ. Diagnostic value of lateral ventricle ratio: a retrospective case-control study of 112 acute subdural hematomas after non-severe traumatic brain injury. Brain Inj 2018; 33:1-7. [PMID: 30417687 DOI: 10.1080/02699052.2018.1539871] [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: 12/14/2017] [Revised: 06/19/2018] [Accepted: 10/20/2018] [Indexed: 10/27/2022]
Abstract
PRIMARY OBJECTIVE To evaluate correlation between the lateral ventricle ratio (LVR) and the risk of conservative treatment failure (CTF) among patients with acute subdural hematoma (ASDH) after non-severe traumatic brain injury (TBI), we retrieved from the hospital database and performed a retrospective analysis of 1339 cases with TBI treated during the 2008-2016 period. METHODS AND PROCEDURES 112 patients with ASDH, GCS≥ 9 and initial conservative treatment were enrolled. They were divided according to the final treatment method applied (surgical or conservative). Clinical and radiological data was evaluated. We used ROC curve analysis and multivariate logistic regression model to identify risk factors of CTF. MAIN OUTCOMES AND RESULTS LVR higher than 1.48 calculated on admission CT scans was the strongest predictor of CTF, with sensitivity of 78.9% and specificity of 93.5% (AUC: 0.774-0.994). LVR, prolonged prothrombin time and coexisting traumatic subarachnoid hemorrhage were independent risk factors. CONCLUSIONS Despite limitations, study results support the view that patients after non-severe TBI with ASDH and with lateral ventricle asymmetry, defined as LVR> 1.48, require surgical treatment. LVR seems to be indirect, but still the closest method to quantify intracranial compliance. Thus, in the selected group of patients without clinical symptoms of critically diminished compensatory reserve, LVR could indicate those who need a surgical decompression.
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Affiliation(s)
- Ernest J Bobeff
- a Department of Neurosurgery and Neuro-oncology , Medical University of Lodz, Norbert Barlicki Memorial Teaching Hospital No. 1 , Lodz , Poland
| | - Jan Fortuniak
- a Department of Neurosurgery and Neuro-oncology , Medical University of Lodz, Norbert Barlicki Memorial Teaching Hospital No. 1 , Lodz , Poland
| | - Katarzyna Ł Bobeff
- b Department of Paediatrics, Oncology, Haematology and Diabetology , Medical University of Lodz, Maria Konopnicka Memorial Teaching Hospital No. 4 , Lodz , Poland
| | - Karol Wiśniewski
- a Department of Neurosurgery and Neuro-oncology , Medical University of Lodz, Norbert Barlicki Memorial Teaching Hospital No. 1 , Lodz , Poland
| | - Rafał Wójcik
- a Department of Neurosurgery and Neuro-oncology , Medical University of Lodz, Norbert Barlicki Memorial Teaching Hospital No. 1 , Lodz , Poland
| | - Ludomir Stefańczyk
- c Department of Radiology , Medical University of Lodz, Norbert Barlicki Memorial Teaching Hospital No. 1 , Lodz , Poland
| | - Dariusz J Jaskólski
- a Department of Neurosurgery and Neuro-oncology , Medical University of Lodz, Norbert Barlicki Memorial Teaching Hospital No. 1 , Lodz , Poland
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23
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Abstract
Shared decision making is a collaborative decision-making process between health care providers and patients or their surrogates, taking into account the best scientific evidence available while considering the patient's values, goals, and preferences. Decision aids are tools enabling SDM. This article discusses shared decision making in general and in the intensive care unit in particular and facilitators and barriers for the creation and implementation of International Patient Decision Aids Standards Collaboration-compliant decision aids for the intensive care unit and neuro-intensive care unit.
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Affiliation(s)
- Muhammad Waqas Khan
- Department of Neurology, University of Massachusetts Medical School, 55 Lake Avenue North, S-5, Worcester, MA 01655, USA
| | - Susanne Muehlschlegel
- Department of Neurology, University of Massachusetts Medical School, 55 Lake Avenue North, S-5, Worcester, MA 01655, USA; Department of Surgery, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, USA; Department of Anesthesiology/Critical Care, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, USA.
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24
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Quinn T, Moskowitz J, Khan MW, Shutter L, Goldberg R, Col N, Mazor KM, Muehlschlegel S. What Families Need and Physicians Deliver: Contrasting Communication Preferences Between Surrogate Decision-Makers and Physicians During Outcome Prognostication in Critically Ill TBI Patients. Neurocrit Care 2018; 27:154-162. [PMID: 28685395 DOI: 10.1007/s12028-017-0427-2] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND Surrogate decision-makers ("surrogates") and physicians of incapacitated patients have different views of prognosis and how it should be communicated, but this has not been investigated in neurocritically ill patients. We examined surrogates' communication preferences and physicians' practices during the outcome prognostication for critically ill traumatic brain injury (ciTBI) patients in two level-1 trauma centers and seven academic medical centers in the USA. METHODS We used qualitative content analysis and descriptive statistics of transcribed interviews to identify themes in surrogates (n = 16) and physicians (n = 20). RESULTS The majority of surrogates (82%) preferred numeric estimates describing the patient's prognosis, as they felt it would increase prognostic certainty, and limit the uncertainty perceived as frustrating. Conversely, 75% of the physicians reported intentionally omitting numeric estimates during prognostication meetings due to low confidence in family members' abilities to appropriately interpret probabilities, worry about creating false hope, and distrust in the accuracy and data quality of existing TBI outcome models. Physicians felt that these models are for research only and should not be applied to individual patients. Surrogates valued compassion during prognostication discussions, and acceptance of their goals-of-care decision by clinicians. Physicians and surrogates agreed on avoiding false hope. CONCLUSION We identified fundamental differences in the communication preferences of prognostic information between ciTBI patient surrogates and physicians. These findings inform the content of a future decision aid for goals-of-care discussions in ciTBI patients. If validated, these findings may have important implications for improving communication practices in the neurointensive care unit independent of whether a formal decision aid is used.
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Affiliation(s)
- Thomas Quinn
- Department of Neurology (Neurocritical Care), University of Massachusetts Medical School, 55 Lake Ave North, S-5, Worcester, MA, USA
| | - Jesse Moskowitz
- Department of Neurology (Neurocritical Care), University of Massachusetts Medical School, 55 Lake Ave North, S-5, Worcester, MA, USA
| | - Muhammad W Khan
- Department of Neurology (Neurocritical Care), University of Massachusetts Medical School, 55 Lake Ave North, S-5, Worcester, MA, USA
| | - Lori Shutter
- Departments of Critical Care Medicine & Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Robert Goldberg
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
| | - Nananda Col
- Shared Decision Making Resources, Georgetown, ME, USA
| | - Kathleen M Mazor
- Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA, USA.,Department of Internal Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Susanne Muehlschlegel
- Department of Neurology (Neurocritical Care), University of Massachusetts Medical School, 55 Lake Ave North, S-5, Worcester, MA, USA. .,Department of Anesthesiology/Critical Care, University of Massachusetts Medical School, Worcester, MA, USA. .,Department of Surgery, University of Massachusetts Medical School, Worcester, MA, USA.
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25
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Abstract
Shared decision making is a collaborative decision-making process between health care providers and patients or their surrogates, taking into account the best scientific evidence available while considering the patient's values, goals, and preferences. Decision aids are tools enabling SDM. This article discusses shared decision making in general and in the intensive care unit in particular and facilitators and barriers for the creation and implementation of International Patient Decision Aids Standards Collaboration-compliant decision aids for the intensive care unit and neuro-intensive care unit.
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26
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McFarlin J, Hailey CE, Qi W, Kranz PG, Sun W, Sun W, Gray M, King NKK, Laskowitz DT, James ML. Associations between Patient Characteristics and a New, Early Do-Not-Attempt Resuscitation Order after Intracerebral Hemorrhage. J Palliat Med 2018; 21:1161-1165. [PMID: 29676952 DOI: 10.1089/jpm.2017.0519] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Decisions to limit care, including use of a do-not-resuscitate (DNR) order, are associated with increased risk of death after intracerebral hemorrhage (ICH). Given the value that patient surrogates place on the physician's perception of prognosis, understanding prognostic indicators that influence clinical judgment of outcomes is critical. OBJECTIVE The purpose of this study was to understand the patient variables and comorbid illnesses associated with DNR orders placed on patients within 72 hours after ICH. DESIGN Single-center, retrospective review of medical records of 198 consecutive patients with an admission diagnosis of primary supratentorial ICH between July 2007 and December 2010. SUBJECTS Patients who did not experience a DNR order placement during their primary admission for ICH (non-DNR group) were compared to patients who received a new DNR order in the first 72 hours of admission (DNR group). MEASUREMENTS Patient characteristics obtained include demographic data, past medical history, clinical data pertaining to the admission for the ICH, and radiographic images. Demographic, medical, and ICH injury data during the first three days of admission were collected. RESULTS Multiple differences in patient and hospital factors were found between patients receiving a new, early DNR order and those who did not receive a DNR order after ICH. In regression modeling, Caucasian race, direct admission, and higher ICH score were associated with placement of a new DNR order early in the course of injury. CONCLUSIONS Race, transfer procedures, and injury severity may be important factors associated with placement of new, early DNR orders in patients after ICH.
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Affiliation(s)
- Jessica McFarlin
- 1 Department of Neurology, University of Kentucky , Lexington, Kentucky
| | - Claire E Hailey
- 2 Department of Pediatrics, University of Chicago , Chicago, Illinois
| | - Wenjing Qi
- 3 Department of Biostatistics, Duke University , Durham, North Carolina
| | - Peter G Kranz
- 4 Department of Radiology, Duke University , Durham, North Carolina
| | - Weiping Sun
- 5 Department of Neurology, Peking University First Hospital , Beijing, P.R. China
| | - Wei Sun
- 5 Department of Neurology, Peking University First Hospital , Beijing, P.R. China
| | - Marisa Gray
- 6 Department of Urology, University of Virginia , Charlottesville, Virginia
| | - Nicolas Kon Kam King
- 7 Department of Neurosurgery, National Neuroscience Institute , DukeNUS School of Medicine, Singapore, Singapore
| | - Daniel T Laskowitz
- 8 Departments of Neurology, Anesthesiology, and Neurobiology, Brain Injury Translational Research Center, Duke University , Durham, North Carolina
| | - Michael L James
- 9 Departments of Anesthesiology & Neurology, Brain Injury Translational Research Center, Duke University , Durham, North Carolina
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27
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Moskowitz J, Quinn T, Khan MW, Shutter L, Goldberg R, Col N, Mazor KM, Muehlschlegel S. Should We Use the IMPACT-Model for the Outcome Prognostication of TBI Patients? A Qualitative Study Assessing Physicians' Perceptions. MDM Policy Pract 2018; 3:2381468318757987. [PMID: 30288437 PMCID: PMC6124938 DOI: 10.1177/2381468318757987] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 12/26/2017] [Indexed: 11/15/2022] Open
Abstract
Introduction. Shared Decision-Making may facilitate information exchange, deliberation, and effective decision-making, but no decision aids currently exist for difficult decisions in neurocritical care patients. The International Patient Decision Aid Standards, a framework for the creation of high-quality decision aids (DA), recommends the presentation of numeric outcome and risk estimates. Efforts are underway to create a goals-of-care DA in critically-ill traumatic brain injury (ciTBI) patients. To inform its content, we examined physicians’ perceptions, and use of the IMPACT-model, the most widely validated ciTBI outcome model, and explored physicians’ preferences for communicating prognostic information towards families. Methods. We conducted a qualitative study using semi-structured interviews in 20 attending physicians (neurosurgery,neurocritical care,trauma,palliative care) at 7 U.S. academic medical centers. We used performed qualitative content analysis of transcribed interviews to identify major themes. Results. Only 12 physicians (60%) expressed awareness of the IMPACT-model; two stated that they “barely” knew the model. Seven physicians indicated using the model at least some of the time in clinical practice, although none used it exclusively to derive a patient’s prognosis. Four major themes emerged: the IMPACT-model is intended for research but should not be applied to individual patients; mistrust in the IMPACT-model derivation data; the IMPACT-model is helpful in reducing prognostic variability among physicians; concern that statistical models may mislead families about a patient’s prognosis. Discussion: Our study identified significant variability of the awareness, perception, and use of the IMPACT-model among physicians. While many physicians prefer to avoid conveying numeric prognostic estimates with families using the IMPACT-model, several physicians thought that they “ground” them and reduce prognostic variability among physicians. These findings may factor into the creation and implementation of future ciTBI-related DAs.
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Affiliation(s)
- Jesse Moskowitz
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA (JM, TQ, MWK, SM).,Depts. of Critical Care Medicine & Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA (LS).,Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA (RG).,Shared Decision Making Resources, Georgetown, ME, USA (NC).,Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Internal Medicine, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Anesthesiology/Critical Care, University of Massachusetts Medical School, Worcester, MA, USA (SM).,Surgery, University of Massachusetts Medical School, Worcester, MA, USA(SM)
| | - Thomas Quinn
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA (JM, TQ, MWK, SM).,Depts. of Critical Care Medicine & Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA (LS).,Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA (RG).,Shared Decision Making Resources, Georgetown, ME, USA (NC).,Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Internal Medicine, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Anesthesiology/Critical Care, University of Massachusetts Medical School, Worcester, MA, USA (SM).,Surgery, University of Massachusetts Medical School, Worcester, MA, USA(SM)
| | - Muhammad W Khan
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA (JM, TQ, MWK, SM).,Depts. of Critical Care Medicine & Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA (LS).,Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA (RG).,Shared Decision Making Resources, Georgetown, ME, USA (NC).,Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Internal Medicine, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Anesthesiology/Critical Care, University of Massachusetts Medical School, Worcester, MA, USA (SM).,Surgery, University of Massachusetts Medical School, Worcester, MA, USA(SM)
| | - Lori Shutter
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA (JM, TQ, MWK, SM).,Depts. of Critical Care Medicine & Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA (LS).,Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA (RG).,Shared Decision Making Resources, Georgetown, ME, USA (NC).,Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Internal Medicine, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Anesthesiology/Critical Care, University of Massachusetts Medical School, Worcester, MA, USA (SM).,Surgery, University of Massachusetts Medical School, Worcester, MA, USA(SM)
| | - Robert Goldberg
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA (JM, TQ, MWK, SM).,Depts. of Critical Care Medicine & Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA (LS).,Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA (RG).,Shared Decision Making Resources, Georgetown, ME, USA (NC).,Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Internal Medicine, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Anesthesiology/Critical Care, University of Massachusetts Medical School, Worcester, MA, USA (SM).,Surgery, University of Massachusetts Medical School, Worcester, MA, USA(SM)
| | - Nananda Col
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA (JM, TQ, MWK, SM).,Depts. of Critical Care Medicine & Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA (LS).,Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA (RG).,Shared Decision Making Resources, Georgetown, ME, USA (NC).,Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Internal Medicine, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Anesthesiology/Critical Care, University of Massachusetts Medical School, Worcester, MA, USA (SM).,Surgery, University of Massachusetts Medical School, Worcester, MA, USA(SM)
| | - Kathleen M Mazor
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA (JM, TQ, MWK, SM).,Depts. of Critical Care Medicine & Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA (LS).,Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA (RG).,Shared Decision Making Resources, Georgetown, ME, USA (NC).,Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Internal Medicine, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Anesthesiology/Critical Care, University of Massachusetts Medical School, Worcester, MA, USA (SM).,Surgery, University of Massachusetts Medical School, Worcester, MA, USA(SM)
| | - Susanne Muehlschlegel
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA (JM, TQ, MWK, SM).,Depts. of Critical Care Medicine & Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA (LS).,Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA (RG).,Shared Decision Making Resources, Georgetown, ME, USA (NC).,Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Internal Medicine, University of Massachusetts Medical School, Worcester, MA, USA (KMM).,Anesthesiology/Critical Care, University of Massachusetts Medical School, Worcester, MA, USA (SM).,Surgery, University of Massachusetts Medical School, Worcester, MA, USA(SM)
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28
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Marehbian J, Muehlschlegel S, Edlow BL, Hinson HE, Hwang DY. Medical Management of the Severe Traumatic Brain Injury Patient. Neurocrit Care 2017; 27:430-446. [PMID: 28573388 PMCID: PMC5700862 DOI: 10.1007/s12028-017-0408-5] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Severe traumatic brain injury (sTBI) is a major contributor to long-term disability and a leading cause of death worldwide. Medical management of the sTBI patient, beginning with prehospital triage, is aimed at preventing secondary brain injury. This review discusses prehospital and emergency department management of sTBI, as well as aspects of TBI management in the intensive care unit where advances have been made in the past decade. Areas of emphasis include intracranial pressure management, neuromonitoring, management of paroxysmal sympathetic hyperactivity, neuroprotective strategies, prognostication, and communication with families about goals of care. Where appropriate, differences between the third and fourth editions of the Brain Trauma Foundation guidelines for the management of severe traumatic brain injury are highlighted.
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Affiliation(s)
- Jonathan Marehbian
- Division of Neurocritical Care and Emergency Neurology, Yale School of Medicine, P.O. Box 208018, New Haven, CT, 06520, USA
| | - Susanne Muehlschlegel
- Departments of Neurology, Anesthesia/Critical Care, and Surgery, University of Massachusetts Medical School, 55 Lake Ave North, S-5, Worcester, MA, 01655, USA
| | - Brian L Edlow
- Division of Neurocritical Care and Emergency Neurology, Massachusetts General Hospital, 55 Fruit Street - Lunder 650, Boston, MA, 02114, USA
| | - Holly E Hinson
- Oregon Health and Science University, 3181 SW Sam Jackson Park Road, CR-127, Portland, OR, 97239, USA
| | - David Y Hwang
- Division of Neurocritical Care and Emergency Neurology, Yale School of Medicine, P.O. Box 208018, New Haven, CT, 06520, USA.
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30
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Abstract
The Neuro-ICU is a multidisciplinary location that presents peculiar challenges and opportunities for patients with life-threatening neurological disease. Communication skills are essential in supporting caregivers and other embedded providers (e.g., neurosurgeons, advanced practice providers, nurses, pharmacists), through leadership. Limitations to prognostication complicate how decisions are made on behalf of non-communicative patients. Cognitive dysfunction and durable reductions in health-related quality of life are difficult to predict, and the diagnosis of brain death may be challenging and confounded by medications and comorbidities. The Neuro-ICU team, as well as utilization of additional consultants, can be structured to optimize care. Future research should explore how to further improve the composition, communication and interactions of the Neuro-ICU team to maximize outcomes, minimize caregiver burden, and promote collegiality.
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31
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Turgeon AF, Lauzier F, Zarychanski R, Fergusson DA, Léger C, McIntyre LA, Bernard F, Rigamonti A, Burns K, Griesdale DE, Green R, Scales DC, Meade MO, Savard M, Shemilt M, Paquet J, Gariépy JL, Lavoie A, Reddy K, Jichici D, Pagliarello G, Zygun D, Moore L. Prognostication in critically ill patients with severe traumatic brain injury: the TBI-Prognosis multicentre feasibility study. BMJ Open 2017; 7:e013779. [PMID: 28416497 PMCID: PMC5775467 DOI: 10.1136/bmjopen-2016-013779] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVE Severe traumatic brain injury is a significant cause of morbidity and mortality in young adults. Assessing long-term neurological outcome after such injury is difficult and often characterised by uncertainty. The objective of this feasibility study was to establish the feasibility of conducting a large, multicentre prospective study to develop a prognostic model of long-term neurological outcome in critically ill patients with severe traumatic brain injury. DESIGN A prospective cohort study. SETTING 9 Canadian intensive care units enrolled patients suffering from acute severe traumatic brain injury. Clinical, biological, radiological and electrophysiological data were systematically collected during the first week in the intensive care unit. Mortality and functional outcome (Glasgow Outcome Scale extended) were assessed on hospital discharge, and then 3, 6 and 12 months following injury. OUTCOMES The compliance to protocolised test procedures was the primary outcome. Secondary outcomes were enrolment rate and compliance to follow-up. RESULTS We successfully enrolled 50 patients over a 12-month period. Most patients were male (80%), with a median age of 45 years (IQR 29.0-60.0), a median Injury Severity Score of 38 (IQR 25-50) and a Glasgow Coma Scale of 6 (IQR 3-7). Mortality was 38% (19/50) and most deaths occurred following a decision to withdraw life-sustaining therapies (18/19). The main reasons for non-enrolment were the time window for inclusion being after regular working hours (35%, n=23) and oversight (24%, n=16). Compliance with protocolised test procedures ranged from 92% to 100% and enrolment rate was 43%. No patients were lost to follow-up at 6 months and 2 were at 12 months. CONCLUSIONS In this multicentre prospective feasibility study, we achieved feasibility objectives pertaining to compliance to test, enrolment and follow-up. We conclude that the TBI-Prognosis prospective multicentre study in severe traumatic brain injury patients in Canada is feasible.
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Affiliation(s)
- Alexis F Turgeon
- Population Health and Optimal Health Practices Research Unit (Trauma—Emergency—Critical Care Medicine), CHU de Québec—Université Laval Research Centre, Québec City, Québec, Canada
- Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, Québec City, Québec, Canada
| | - François Lauzier
- Population Health and Optimal Health Practices Research Unit (Trauma—Emergency—Critical Care Medicine), CHU de Québec—Université Laval Research Centre, Québec City, Québec, Canada
- Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, Québec City, Québec, Canada
| | - Ryan Zarychanski
- Department of Internal Medicine, Section of Critical Care and of Haematology and Medical Oncology, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Dean A Fergusson
- Clinical Epidemiology Unit, Center for Transfusion and Critical Care Research, Ottawa Health Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Caroline Léger
- Population Health and Optimal Health Practices Research Unit (Trauma—Emergency—Critical Care Medicine), CHU de Québec—Université Laval Research Centre, Québec City, Québec, Canada
| | - Lauralyn A McIntyre
- Clinical Epidemiology Unit, Center for Transfusion and Critical Care Research, Ottawa Health Research Institute, University of Ottawa, Ottawa, Ontario, Canada
- Department of Critical Care Medicine, Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Francis Bernard
- Department of Medicine, Université de Montréal, Montréal, Québec, Canada
| | - Andrea Rigamonti
- Interdepartmental Division of Critical Care Medicine, St-Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Karen Burns
- Interdepartmental Division of Critical Care Medicine, St-Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Donald E Griesdale
- Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Robert Green
- Department of Critical Care Medicine, Department of Emergency Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Damon C Scales
- Interdepartmental Division of Critical Care Medicine, Sunnybrook Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Maureen O Meade
- Department of Medicine, Division of Critical Care Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Martin Savard
- Department of Medicine, Division of Neurology, Université Laval, Québec, Québec, Canada
| | - Michèle Shemilt
- Population Health and Optimal Health Practices Research Unit (Trauma—Emergency—Critical Care Medicine), CHU de Québec—Université Laval Research Centre, Québec City, Québec, Canada
| | - Jérôme Paquet
- Department of Surgery, Division of Neurosurgery, Université Laval, Québec, Québec, Canada
- Department Radiology and Nuclear Medicine, Université Laval, Québec, Québec, Canada
| | - Jean-Luc Gariépy
- Department Radiology and Nuclear Medicine, Université Laval, Québec, Québec, Canada
| | - André Lavoie
- Population Health and Optimal Health Practices Research Unit (Trauma—Emergency—Critical Care Medicine), CHU de Québec—Université Laval Research Centre, Québec City, Québec, Canada
| | - Kesh Reddy
- Department of Surgery, Division of Neurosurgery, McMaster University, Hamilton, Ontario, Canada
| | - Draga Jichici
- Department of Medicine, Division of Critical Care Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Giuseppe Pagliarello
- Department of Critical Care Medicine, Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - David Zygun
- Department of Critical Care Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Lynne Moore
- Population Health and Optimal Health Practices Research Unit (Trauma—Emergency—Critical Care Medicine), CHU de Québec—Université Laval Research Centre, Québec City, Québec, Canada
- Department of Preventive and Social Medicine, Université Laval, Québec, Québec, Canada
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32
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Shutter LA, Timmons SD. Intracranial Pressure Rescued by Decompressive Surgery after Traumatic Brain Injury. N Engl J Med 2016; 375:1183-4. [PMID: 27604048 DOI: 10.1056/nejme1609722] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Lori A Shutter
- From the Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh (L.A.S.), and the Department of Neurosurgery, Penn State University Milton S. Hershey Medical Center, Hershey (S.D.T.) - both in Pennsylvania
| | - Shelly D Timmons
- From the Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh (L.A.S.), and the Department of Neurosurgery, Penn State University Milton S. Hershey Medical Center, Hershey (S.D.T.) - both in Pennsylvania
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33
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Cai X, Robinson J, Muehlschlegel S, White DB, Holloway RG, Sheth KN, Fraenkel L, Hwang DY. Patient Preferences and Surrogate Decision Making in Neuroscience Intensive Care Units. Neurocrit Care 2015; 23:131-41. [PMID: 25990137 PMCID: PMC4816524 DOI: 10.1007/s12028-015-0149-2] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
In the neuroscience intensive care unit (NICU), most patients lack the capacity to make their own preferences known. This fact leads to situations where surrogate decision makers must fill the role of the patient in terms of making preference-based treatment decisions, oftentimes in challenging situations where prognosis is uncertain. The neurointensivist has a large responsibility and role to play in this shared decision-making process. This review covers how NICU patient preferences are determined through existing advance care documentation or surrogate decision makers and how the optimum roles of the physician and surrogate decision maker are addressed. We outline the process of reaching a shared decision between family and care team and describe a practice for conducting optimum family meetings based on studies of ICU families in crisis. We review challenges in the decision-making process between surrogate decision makers and medical teams in neurocritical care settings, as well as methods to ameliorate conflicts. Ultimately, the goal of shared decision making is to increase knowledge amongst surrogates and care providers, decrease decisional conflict, promote realistic expectations and preference-centered treatment strategies, and lift the emotional burden on families of neurocritical care patients.
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Affiliation(s)
- Xuemei Cai
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA,
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