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Song H, Oh SH, Woo HR. Brain Death and Its Prediction in Out-of-Hospital Cardiac Arrest Patients Treated with Targeted Temperature Management. Diagnostics (Basel) 2022; 12:diagnostics12051190. [PMID: 35626345 PMCID: PMC9140750 DOI: 10.3390/diagnostics12051190] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 05/04/2022] [Accepted: 05/06/2022] [Indexed: 02/01/2023] Open
Abstract
Evolution toward brain death (BD) in out-of-hospital cardiac arrest patients with targeted temperature management (TTM) provides opportunities for organ donation. However, knowledge regarding BD in these patients is limited. We retrospectively analyzed the TTM registry of one hospital where life-sustaining therapy was not withdrawn. In-hospital death patients were categorized into BD and non-BD groups. We explored the process of evolution toward BD and its predictors by comparing the serial measurements of clinical variables and the results of various prognostic tests between the two groups. Of the 121 patients who died before hospital discharge, 19 patients (15.7%) developed BD at a median of 6 (interquartile range, 5.0–7.0) days after cardiac arrest. Four patients with pupillary light reflexes at 48 h eventually developed BD. The area under the curves of the gray-to-white matter ratio (GWR) on early brain computed tomography images and the level of S100 calcium-binding protein B (S100B) at 72 h were 0.67 (95% CI, 0.55–0.77) and 0.70 (95% CI, 0.55–0.83), respectively. In conclusion, approximately one-sixth of all in-hospital deaths were diagnosed with BD at a median of 6 days after cardiac arrest. The use of GWR and serial S100B measurements may help to screen potential BD.
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Affiliation(s)
- Hwan Song
- Department of Emergency Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea;
| | - Sang Hoon Oh
- Department of Emergency Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
- Correspondence: ; Tel.: +82-2-2258-1988; Fax: +82-2-2258-1997
| | - Hye Rim Woo
- Department of Emergency Medicine, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea;
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Greer DM, Shemie SD, Lewis A, Torrance S, Varelas P, Goldenberg FD, Bernat JL, Souter M, Topcuoglu MA, Alexandrov AW, Baldisseri M, Bleck T, Citerio G, Dawson R, Hoppe A, Jacobe S, Manara A, Nakagawa TA, Pope TM, Silvester W, Thomson D, Al Rahma H, Badenes R, Baker AJ, Cerny V, Chang C, Chang TR, Gnedovskaya E, Han MK, Honeybul S, Jimenez E, Kuroda Y, Liu G, Mallick UK, Marquevich V, Mejia-Mantilla J, Piradov M, Quayyum S, Shrestha GS, Su YY, Timmons SD, Teitelbaum J, Videtta W, Zirpe K, Sung G. Determination of Brain Death/Death by Neurologic Criteria: The World Brain Death Project. JAMA 2020; 324:1078-1097. [PMID: 32761206 DOI: 10.1001/jama.2020.11586] [Citation(s) in RCA: 267] [Impact Index Per Article: 66.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
IMPORTANCE There are inconsistencies in concept, criteria, practice, and documentation of brain death/death by neurologic criteria (BD/DNC) both internationally and within countries. OBJECTIVE To formulate a consensus statement of recommendations on determination of BD/DNC based on review of the literature and expert opinion of a large multidisciplinary, international panel. PROCESS Relevant international professional societies were recruited to develop recommendations regarding determination of BD/DNC. Literature searches of the Cochrane, Embase, and MEDLINE databases included January 1, 1992, through April 2020 identified pertinent articles for review. Because of the lack of high-quality data from randomized clinical trials or large observational studies, recommendations were formulated based on consensus of contributors and medical societies that represented relevant disciplines, including critical care, neurology, and neurosurgery. EVIDENCE SYNTHESIS Based on review of the literature and consensus from a large multidisciplinary, international panel, minimum clinical criteria needed to determine BD/DNC in various circumstances were developed. RECOMMENDATIONS Prior to evaluating a patient for BD/DNC, the patient should have an established neurologic diagnosis that can lead to the complete and irreversible loss of all brain function, and conditions that may confound the clinical examination and diseases that may mimic BD/DNC should be excluded. Determination of BD/DNC can be done with a clinical examination that demonstrates coma, brainstem areflexia, and apnea. This is seen when (1) there is no evidence of arousal or awareness to maximal external stimulation, including noxious visual, auditory, and tactile stimulation; (2) pupils are fixed in a midsize or dilated position and are nonreactive to light; (3) corneal, oculocephalic, and oculovestibular reflexes are absent; (4) there is no facial movement to noxious stimulation; (5) the gag reflex is absent to bilateral posterior pharyngeal stimulation; (6) the cough reflex is absent to deep tracheal suctioning; (7) there is no brain-mediated motor response to noxious stimulation of the limbs; and (8) spontaneous respirations are not observed when apnea test targets reach pH <7.30 and Paco2 ≥60 mm Hg. If the clinical examination cannot be completed, ancillary testing may be considered with blood flow studies or electrophysiologic testing. Special consideration is needed for children, for persons receiving extracorporeal membrane oxygenation, and for those receiving therapeutic hypothermia, as well as for factors such as religious, societal, and cultural perspectives; legal requirements; and resource availability. CONCLUSIONS AND RELEVANCE This report provides recommendations for the minimum clinical standards for determination of brain death/death by neurologic criteria in adults and children with clear guidance for various clinical circumstances. The recommendations have widespread international society endorsement and can serve to guide professional societies and countries in the revision or development of protocols and procedures for determination of brain death/death by neurologic criteria, leading to greater consistency within and between countries.
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Affiliation(s)
- David M Greer
- Boston University School of Medicine, Boston, Massachusetts
| | - Sam D Shemie
- McGill University, Montreal Children's Hospital, Montreal, Canada
- Canadian Blood Services, Ottawa, Canada
| | | | | | | | | | - James L Bernat
- Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | | | | | - Anne W Alexandrov
- College of Nursing, University of Tennessee Health Science Center, Memphis
| | - Marie Baldisseri
- University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Thomas Bleck
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | | | - Arnold Hoppe
- Clínica Alemana, Universidad del Desarrollo, Santiago, Chile
| | - Stephen Jacobe
- University of Sydney and Children's Hospital of Westmead, Westmead, Australia
| | | | | | | | | | | | | | - Rafael Badenes
- Hospital Clinic Universitari, University of Valencia, Valencia, Spain
| | - Andrew J Baker
- St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Canada
| | - Vladimir Cerny
- J.E. Purkinje University, Masaryk Hospital, Usti nad Labem, Czech Republic
| | | | - Tiffany R Chang
- The University of Texas Health Science Center at Houston, Houston
| | | | - Moon-Ku Han
- Seoul National University Bundang Hospital, Seoul, Republic of Korea
| | | | | | | | - Gang Liu
- Capital Medical University, Beijing, China
| | | | | | | | | | | | | | | | | | | | - Walter Videtta
- National Hospital, Alejandro Posadas, Buenos Aires, Argentina
| | | | - Gene Sung
- University of Southern California, Los Angeles
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Zhu L, Cui G, Cao J, Cichocki A, Zhang J, Zhou C. A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features. SENSORS 2019; 19:s19061342. [PMID: 30889817 PMCID: PMC6470643 DOI: 10.3390/s19061342] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Revised: 03/14/2019] [Accepted: 03/14/2019] [Indexed: 01/16/2023]
Abstract
Electroencephalography (EEG) signals may provide abundant information reflecting the developmental changes in brain status. It usually takes a long time to finally judge whether a brain is dead, so an effective pre-test of brain states method is needed. In this paper, we present a hybrid processing pipeline to differentiate brain death and coma patients based on canonical correlation analysis (CCA) of power spectral density, complexity features, and feature fusion for group analysis. In addition, time-varying power spectrum and complexity were observed based on the analysis of individual patients, which can be used to monitor the change of brain status over time. Results showed three major differences between brain death and coma groups of EEG signal: slowing, increased complexity, and the improvement on classification accuracy with feature fusion. To the best of our knowledge, this is the first scheme for joint general analysis and time-varying state monitoring. Delta-band relative power spectrum density and permutation entropy could effectively be regarded as potential features of discrimination analysis on brain death and coma patients.
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Affiliation(s)
- Li Zhu
- Cognitive Science Department, Xiamen University, Xiamen 361005, China.
| | - Gaochao Cui
- National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki 305-8560, Japan.
| | - Jianting Cao
- Department of Information System, Saitama Institute of Technology, Fukaya, Saitama 369-0203, Japan.
- RIKEN Center for Advanced Intelligence Project, RIKEN, Nihonbashi, Tokyo 103-0027, Japan.
| | - Andrzej Cichocki
- Skolkovo Institute of Science and Technology (Skoltech), 143026 Moscow, Russia.
- Department of Informatics, Nicolaus Copernicus University, 87-100 Torun, Poland.
- School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China.
| | - Jianhai Zhang
- School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China.
| | - Changle Zhou
- Cognitive Science Department, Xiamen University, Xiamen 361005, China.
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