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Zhang H, Davies C, Stokes D, O'Donnell D. Shared Decision-Making for Patients with Stroke in Neurocritical Care: A Qualitative Meta-Synthesis. Neurocrit Care 2025; 42:644-667. [PMID: 39192102 PMCID: PMC11950011 DOI: 10.1007/s12028-024-02106-y] [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: 05/04/2024] [Accepted: 08/12/2024] [Indexed: 08/29/2024]
Abstract
Decision-making for patients with stroke in neurocritical care is uniquely challenging because of the gravity and high preference sensitivity of these decisions. Shared decision-making (SDM) is recommended to align decisions with patient values. However, limited evidence exists on the experiences and perceptions of key stakeholders involved in SDM for neurocritical patients with stroke. This review aims to address this gap by providing a comprehensive analysis of the experiences and perspectives of those involved in SDM for neurocritical stroke care to inform best practices in this context. A qualitative meta-synthesis was conducted following the methodological guidelines of the Joanna Briggs Institute (JBI), using the thematic synthesis approach outlined by Thomas and Harden. Database searches covered PubMed, CIHAHL, EMBASE, PsycINFO, and Web of Science from inception to July 2023, supplemented by manual searches. After screening, quality appraisal was performed using the JBI Appraisal Checklist. Data analysis comprised line-by-line coding, development of descriptive themes, and creation of analytical themes using NVivo 12 software. The initial search yielded 7,492 articles, with 94 undergoing full-text screening. Eighteen articles from five countries, published between 2010 and 2023, were included in the meta-synthesis. These studies focused on the SDM process, covering life-sustaining treatments (LSTs), palliative care, and end-of-life care, with LST decisions being most common. Four analytical themes, encompassing ten descriptive themes, emerged: prognostic uncertainty, multifaceted balancing act, tripartite role dynamics and information exchange, and influences of sociocultural context. These themes form the basis for a conceptual model offering deeper insights into the essential elements, relationships, and behaviors that characterize SDM in neurocritical care. This meta-synthesis of 18 primary studies offers a higher-order interpretation and an emerging conceptual understanding of SDM in neurocritical care, with implications for practice and further research. The complex role dynamics among SDM stakeholders require careful consideration, highlighting the need for stroke-specific communication strategies. Expanding the evidence base across diverse sociocultural settings is critical to enhance the understanding of SDM in neurocritical patients with stroke.Trial registration This study is registered with PROSPERO under the registration number CRD42023461608.
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Affiliation(s)
- Hui Zhang
- Nursing Department, Jining No.1 People's Hospital, Health Road No.6, Rencheng District, Jining, 272000, China.
- School of Nursing, Midwifery, and Health Systems, University College Dublin, Dublin, Ireland.
| | - Carmel Davies
- School of Nursing, Midwifery, and Health Systems, University College Dublin, Dublin, Ireland
- Center for Interdisciplinary Research, Education, and Innovation in Health Systems, University College Dublin, Dublin, Ireland
| | - Diarmuid Stokes
- School of Nursing, Midwifery, and Health Systems, University College Dublin, Dublin, Ireland
| | - Deirdre O'Donnell
- School of Nursing, Midwifery, and Health Systems, University College Dublin, Dublin, Ireland
- Center for Interdisciplinary Research, Education, and Innovation in Health Systems, University College Dublin, Dublin, Ireland
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Fitzgerald E, Donaldson L, Hammond N, Johnson B, Leung KY, McBain R, McDonald G, Rowcliff K, Vlok R, Delaney A. Methods of functional outcome assessment in neurocritical care trials: A systematic review and meta-analysis. Aust Crit Care 2025; 38:101124. [PMID: 39489650 DOI: 10.1016/j.aucc.2024.09.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 09/18/2024] [Accepted: 09/18/2024] [Indexed: 11/05/2024] Open
Abstract
BACKGROUND Acute brain injury due to conditions such as subarachnoid haemorrhage and traumatic brain injury are associated with physical, psychological, cognitive, emotional, and social deficits. Despite reductions in morbidity and mortality, there have been few significant changes in clinical practice. It has been suggested that heterogeneity in outcome assessment in studies has contributed to this limited progress. OBJECTIVES The objectives of this study were to describe current methods of outcome assessment in aneurysmal subarachnoid haemorrhage and traumatic brain injury studies and to examine the relationship between methods of outcome assessment and reported outcomes. METHODS We performed a systematic review and meta-analysis of randomised controlled trials and cohort studies enrolling an adult aneurysmal subarachnoid haemorrhage or traumatic brain injury population and reporting at least one functional outcome measure. RESULTS We identified 176 studies, including 60 494 participants. The Glasgow Outcome Scale or the Glasgow Outcome Scale Extended was used in 68% (N = 120) of studies and the Modified Rankin Scale in 38% (N = 67) of studies. Outcome assessment was reported at different timepoints, using different methods of application, and often dichotomised using different ranges. Many studies did not report key details on methods of outcome assessment. Outcome assessment using the Modified Rankin Scale was associated with a higher proportion of patients reported as having a favourable outcome 0.62 (95% confidence interval [CI]: 0.58-0.67) than the Glasgow Outcome Scale 0.48 (95% CI: 0.43-0.53) or the Glasgow Outcome Scale Extended 0.42 (95% CI: 0.37-0.48, p < 0.01). In-person assessment was associated with an increased proportion of patients achieving a favourable outcome 0.55 (95% CI: 0.55-0.45) compared to telephone assessment 0.46 (95% CI: 0.40-0.52). CONCLUSION There is significant heterogeneity and incomplete reporting of methods of outcome assessment in critical care studies enrolling aneurysmal subarachnoid haemorrhage and traumatic brain injury patient populations. Our study identified an association between the methods of outcome assessment and reported outcomes. Our study supports initiatives to standardise outcome assessment in neurocritical care research to ensure the quality of outcome data. REGISTRATION The International Prospective Register of Systematic Reviews (CRD42023072206).
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Affiliation(s)
- Emily Fitzgerald
- Malcolm Fisher Department of Intensive Care Medicine, Royal North Shore Hospital, St Leonards, 2065, NSW, Australia; Critical Care Program, The George Institute for Global Health, University of New South Wales, NSW, Australia.
| | - Lachlan Donaldson
- Malcolm Fisher Department of Intensive Care Medicine, Royal North Shore Hospital, St Leonards, 2065, NSW, Australia; Critical Care Program, The George Institute for Global Health, University of New South Wales, NSW, Australia; Northern Clinical School, Sydney Medical School, University of Sydney, Sydney, Australia
| | - Naomi Hammond
- Malcolm Fisher Department of Intensive Care Medicine, Royal North Shore Hospital, St Leonards, 2065, NSW, Australia; Critical Care Program, The George Institute for Global Health, University of New South Wales, NSW, Australia
| | - Breannan Johnson
- Malcolm Fisher Department of Intensive Care Medicine, Royal North Shore Hospital, St Leonards, 2065, NSW, Australia
| | - Kwan Yee Leung
- Malcolm Fisher Department of Intensive Care Medicine, Royal North Shore Hospital, St Leonards, 2065, NSW, Australia
| | - Rachel McBain
- Malcolm Fisher Department of Intensive Care Medicine, Royal North Shore Hospital, St Leonards, 2065, NSW, Australia
| | - Gabrielle McDonald
- Malcolm Fisher Department of Intensive Care Medicine, Royal North Shore Hospital, St Leonards, 2065, NSW, Australia
| | - Kirsten Rowcliff
- Malcolm Fisher Department of Intensive Care Medicine, Royal North Shore Hospital, St Leonards, 2065, NSW, Australia
| | - Ruan Vlok
- Malcolm Fisher Department of Intensive Care Medicine, Royal North Shore Hospital, St Leonards, 2065, NSW, Australia; Northern Clinical School, Sydney Medical School, University of Sydney, Sydney, Australia
| | - Anthony Delaney
- Malcolm Fisher Department of Intensive Care Medicine, Royal North Shore Hospital, St Leonards, 2065, NSW, Australia; Critical Care Program, The George Institute for Global Health, University of New South Wales, NSW, Australia; Northern Clinical School, Sydney Medical School, University of Sydney, Sydney, Australia
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Ayasse T, Gaugain S, de Roquetaillade C, Hermans-Didier A, Kindermans M, Chousterman BG, Barthélémy R. Association between cerebral oxygenation and usual parameters of cerebral perfusion in critically ill patients with acute brain injury. J Cereb Blood Flow Metab 2025:271678X241310780. [PMID: 39763378 PMCID: PMC11705312 DOI: 10.1177/0271678x241310780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Revised: 11/09/2024] [Accepted: 12/11/2024] [Indexed: 01/11/2025]
Abstract
In patients with acute brain injury (ABI), optimizing cerebral perfusion parameters relies on multimodal monitoring. This include data from systemic monitoring-mean arterial pressure (MAP), arterial carbon dioxide tension (PaCO2), arterial oxygen saturation (SaO2), hemoglobin levels (Hb), and temperature-as well as neurological monitoring-intracranial pressure (ICP), cerebral perfusion pressure (CPP), and transcranial Doppler (TCD) velocities. We hypothesized that these parameters alone were not sufficient to assess the risk of cerebral ischemia. We conducted a retrospective, single-center study of patients admitted in our ICU between 2015 and 2021. Patients with ABI and multimodal neuromonitoring were included. ABI included traumatic brain injury (TBI), subarachnoid hemorrhage (SAH), intracranial hemorrhage and ischemic stroke. The relationship between jugular venous oxygen saturation (SjvO2) and cerebral perfusion parameters was analyzed. Patients were categorized into two groups based on SjvO2, with a threshold of 60% used to define cerebral ischemia. We compared the parameters used to optimize cerebral perfusion between groups and their diagnosis accuracy for cerebral ischemia was evaluated. Univariable and multivariable analyses were performed to assess the association between the guideline-recommended therapeutic targets and the risk of cerebral ischemia. 601 evaluations from 96 patients with simultaneous ICP, SjvO2 and TCD were analyzed. Poor relationships were found between SjvO2 and the parameters of cerebral perfusion. TCD flow velocities and PaCO2 were lower in the cerebral ischemia group while MAP, ICP and CPP were not different between groups. Most ischemic episodes occurred despite ICP < 22 mmHg and CPP ≥ 60 mmHg. For the diagnosis of cerebral ischemia, only TCD parameters and PaCO2 were associated with an area under the curve (AUC) > 0.5 but with a low accuracy. In multivariable analysis, the only guideline-recommended therapeutic target associated with a reduction of cerebral ischemia was a diastolic flow velocity (FV) > 20 cm.s-1.
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Affiliation(s)
- Timothée Ayasse
- AP-HP, Hôpital Lariboisière, Department of Anaesthesia and Critical Care, Paris, France
| | - Samuel Gaugain
- AP-HP, Hôpital Lariboisière, Department of Anaesthesia and Critical Care, Paris, France
| | - Charles de Roquetaillade
- AP-HP, Hôpital Lariboisière, Department of Anaesthesia and Critical Care, Paris, France
- Université de Paris, Inserm, UMRS 942 Mascot, Paris, France
| | - Alexis Hermans-Didier
- AP-HP, Hôpital Lariboisière, Department of Anaesthesia and Critical Care, Paris, France
- Université de Paris, Inserm, UMRS 942 Mascot, Paris, France
| | - Manuel Kindermans
- AP-HP, Hôpital Lariboisière, Department of Anaesthesia and Critical Care, Paris, France
| | - Benjamin G Chousterman
- AP-HP, Hôpital Lariboisière, Department of Anaesthesia and Critical Care, Paris, France
- Université de Paris, Inserm, UMRS 942 Mascot, Paris, France
| | - Romain Barthélémy
- AP-HP, Hôpital Lariboisière, Department of Anaesthesia and Critical Care, Paris, France
- Université de Paris, Inserm, UMRS 942 Mascot, Paris, France
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Kaleem S, Harris WT, Oh S, Ch'ang JH. Current Challenges in Neurocritical Care: A Narrative Review. World Neurosurg 2025; 193:285-295. [PMID: 39732014 DOI: 10.1016/j.wneu.2024.09.117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Accepted: 09/24/2024] [Indexed: 12/30/2024]
Abstract
Neurocritical care as a field aims to treat patients who are neurologically critically ill due to a variety of pathologies. As a recently developed subspecialty, the field faces challenges, several of which are outlined in this review. The authors discuss aneurysmal subarachnoid hemorrhage, status epilepticus, and traumatic brain injury as specific disease processes with opportunities for growth in diagnosis, management, and treatment, as well as disorders of consciousness that can arise as a result of many neurological injuries. They also address logistical challenges, such as the need for specialized resources needed to successfully run a neurosciences intensive care unit (neuro-ICU), the variations in training of those who staff neuro-ICUs, and different interdisciplinary team structures. Although an immense amount of data is collected in the neuro-ICU, leveraging the data for clinical research is an area with room for further innovation. Additionally, developing accurate basic science models for these disease processes is an ongoing area of exploration. Finally, the authors explore psychosocial challenges present in the care of neurologically critically ill patients, including limitations in prognostication and religious and cultural perceptions of brain death.
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Affiliation(s)
- Safa Kaleem
- Department of Neurology, NewYork-Presbyterian Weill Cornell Medicine, New York, New York, USA
| | - William T Harris
- Department of Neurology, NewYork-Presbyterian Weill Cornell Medicine, New York, New York, USA
| | - Stephanie Oh
- Department of Neurology, NewYork-Presbyterian Weill Cornell Medicine, New York, New York, USA
| | - Judy H Ch'ang
- Department of Neurology, NewYork-Presbyterian Weill Cornell Medicine, New York, New York, USA.
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5
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Ader J, Twomey K, Fink ME, Ch'ang JH. The Historical and Clinical Foundations of the Modern Neuroscience Intensive Care Unit. World Neurosurg 2025; 193:338-342. [PMID: 39732024 DOI: 10.1016/j.wneu.2024.09.119] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Accepted: 09/24/2024] [Indexed: 12/30/2024]
Abstract
The subspecialty of neurocritical care has grown significantly over the past 40 years along with advancements in the medical and surgical management of neurological emergencies. The modern neuroscience intensive care unit (neuro-ICU) is grounded in close collaboration between neurointensivists and neurosurgeons in the management of patients with such conditions as ischemic stroke, aneurysmal subarachnoid hemorrhage, intracerebral hemorrhage, subdural hematomas, and traumatic brain injury. Neuro-ICUs are also capable of specialized monitoring such as serial neurological examinations by trained neuro-ICU nurses; invasive monitoring of intracranial pressure, cerebral oxygenation, and cerebral hemodynamics; cerebral microdialysis; and noninvasive monitoring, including the use of pupillometry, ultrasound monitoring of optic nerve sheath diameters, transcranial Doppler ultrasonography, near-infrared spectroscopy, and continuous electroencephalography. Neuro-ICUs are also capable of specialized neuroprotective management of medical complications, including sodium disorders, renal failure, respiratory failure, and hypertension. These units depend on an interdisciplinary team including speech and language pathologists, occupational and physical therapists, and social workers and case managers, who work to implement early mobilization and successful transition to rehabilitation centers. There are numerous models of neuro-ICUs ranging from "open" units in which patients are cared for in an ICU by an admitting attending, generally without involvement of an intensivist, to "semi-open" units in which intensivists act as consultants, to "closed" units in which the neurointensivist is the admitting attending. The utilization of neuro-ICUs is associated with improved outcomes including lower mortality rates, decreased ICU and hospital length of stay, and improved functional outcomes.
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Affiliation(s)
- Jeremy Ader
- Department of Neurology, NewYork-Presbyterian/Weill Cornell Medical Center, New York, New York, USA
| | - Kaitlyn Twomey
- Clinical and Translational Neuroscience Unit, Department of Neurology and Feil Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA
| | - Matthew E Fink
- Department of Neurology, NewYork-Presbyterian/Weill Cornell Medical Center, New York, New York, USA
| | - Judy H Ch'ang
- Clinical and Translational Neuroscience Unit, Department of Neurology and Feil Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA.
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6
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Simonetto M, Stieg PE, Segal AZ, Ch'ang JH. Neurocritical Care in 2024: Where are We Headed? World Neurosurg 2025; 193:330-337. [PMID: 39732023 DOI: 10.1016/j.wneu.2024.09.118] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Accepted: 09/24/2024] [Indexed: 12/30/2024]
Abstract
Providing specialized care to critically ill neurology patients has improved outcomes for patients with neurological emergencies; however, there are still some gaps in neurocritical care (NCC) that offer opportunities for improvement. Among these gaps, improving education of the multidisciplinary NCC team, targeting individualized treatments for neurologically critically ill patients, and reducing disparities for undeserved patients as well as disadvantaged areas are priorities to advance the field. This review focuses on the current challenges neurointensivists face, including difficulties in neuroprognostication, ethical challenges in end-of-life care, and neuropalliative care. Challenges also involve providing specific NCC education for the multidisciplinary NCC team, as well as advancing research to provide treatments for critically ill neurological patients. Finally, the authors describe future directions that can take NCC to the next level.
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Affiliation(s)
- Marialaura Simonetto
- Clinical and Translational Neuroscience Unit, Department of Neurology and Feil Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA
| | - Philip E Stieg
- Department of Neurological Surgery, NewYork-Presbyterian/Weill Cornell Medical Center, New York, New York, USA
| | - Alan Z Segal
- Clinical and Translational Neuroscience Unit, Department of Neurology and Feil Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA
| | - Judy H Ch'ang
- Clinical and Translational Neuroscience Unit, Department of Neurology and Feil Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA.
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7
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Yao Z, Zhao Y, Lu L, Li Y, Yu Z. Extracerebral multiple organ dysfunction and interactions with brain injury after cardiac arrest. Resusc Plus 2024; 19:100719. [PMID: 39149223 PMCID: PMC11325081 DOI: 10.1016/j.resplu.2024.100719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 07/02/2024] [Accepted: 07/03/2024] [Indexed: 08/17/2024] Open
Abstract
Cardiac arrest and successful resuscitation cause whole-body ischemia and reperfusion, leading to brain injury and extracerebral multiple organ dysfunction. Brain injury is the leading cause of death and long-term disability in resuscitated survivors, and was conceptualized and treated as an isolated injury, which has neglected the brain-visceral organ crosstalk. Extracerebral organ dysfunction is common and is significantly associated with mortality and poor neurological prognosis after resuscitation. However, detailed description of the characteristics of post-resuscitation multiple organ dysfunction is lacking, and the bidirectional interactions between brain and visceral organs need to be elucidated to explore new treatment for neuroprotection. This review aims to describe current concepts of post-cardiac arrest brain injury and specific characteristics of post-resuscitation dysfunction in cardiovascular, respiratory, renal, hepatic, adrenal, gastrointestinal, and neurohumoral systems. Additionally, we discuss the crosstalk between brain and extracerebral organs, especially focusing on how visceral organ dysfunction and other factors affect brain injury progression. We think that clarifying these interactions is of profound significance on how we treat patients for neural/systemic protection to improve outcome.
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Affiliation(s)
- Zhun Yao
- Department of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Yuanrui Zhao
- Department of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Liping Lu
- Department of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Yinping Li
- Department of Pathophysiology, Hubei Province Key Laboratory of Allergy and Immunology, Taikang Medical School (School of Basic Medical Sciences), Wuhan University, Wuhan 430060, China
| | - Zhui Yu
- Department of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan 430060, China
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Robba C, Busl KM, Claassen J, Diringer MN, Helbok R, Park S, Rabinstein A, Treggiari M, Vergouwen MDI, Citerio G. Contemporary management of aneurysmal subarachnoid haemorrhage. An update for the intensivist. Intensive Care Med 2024; 50:646-664. [PMID: 38598130 PMCID: PMC11078858 DOI: 10.1007/s00134-024-07387-7] [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: 01/10/2024] [Accepted: 03/08/2024] [Indexed: 04/11/2024]
Abstract
Aneurysmal subarachnoid haemorrhage (aSAH) is a rare yet profoundly debilitating condition associated with high global case fatality and morbidity rates. The key determinants of functional outcome include early brain injury, rebleeding of the ruptured aneurysm and delayed cerebral ischaemia. The only effective way to reduce the risk of rebleeding is to secure the ruptured aneurysm quickly. Prompt diagnosis, transfer to specialized centers, and meticulous management in the intensive care unit (ICU) significantly improved the prognosis of aSAH. Recently, multimodality monitoring with specific interventions to correct pathophysiological imbalances has been proposed. Vigilance extends beyond intracranial concerns to encompass systemic respiratory and haemodynamic monitoring, as derangements in these systems can precipitate secondary brain damage. Challenges persist in treating aSAH patients, exacerbated by a paucity of robust clinical evidence, with many interventions showing no benefit when tested in rigorous clinical trials. Given the growing body of literature in this field and the issuance of contemporary guidelines, our objective is to furnish an updated review of essential principles of ICU management for this patient population. Our review will discuss the epidemiology, initial stabilization, treatment strategies, long-term prognostic factors, the identification and management of post-aSAH complications. We aim to offer practical clinical guidance to intensivists, grounded in current evidence and expert clinical experience, while adhering to a concise format.
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Affiliation(s)
- Chiara Robba
- Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy.
- IRCCS Policlinico San Martino, Genoa, Italy.
| | - Katharina M Busl
- Departments of Neurology and Neurosurgery, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Jan Claassen
- Department of Neurology, New York Presbyterian Hospital, Columbia University, New York, NY, USA
| | - Michael N Diringer
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Raimund Helbok
- Department of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria
- Clinical Research Institute for Neuroscience, Johannes Kepler University Linz, Linz, Austria
| | - Soojin Park
- Department of Neurology, New York Presbyterian Hospital, Columbia University, New York, NY, USA
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
| | | | - Miriam Treggiari
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | - Mervyn D I Vergouwen
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Giuseppe Citerio
- Department of Medicine and Surgery, Milano Bicocca University, Milan, Italy
- NeuroIntensive Care Unit, Neuroscience Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
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9
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Chen PH, Jhou HJ, Lee CH, Wu SL. Editorial: Trends in neurocritical care. Front Neurol 2024; 15:1403510. [PMID: 38751888 PMCID: PMC11094332 DOI: 10.3389/fneur.2024.1403510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 04/12/2024] [Indexed: 05/18/2024] Open
Affiliation(s)
- Po-Huang Chen
- Division of Hematology and Oncology Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Hong-Jie Jhou
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Cho-Hao Lee
- Division of Hematology and Oncology Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Shey-Lin Wu
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
- Department of Neurology, Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan
- Department of Electrical Engineering, National Changhua University of Education, Changhua, Taiwan
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Nattino G, Gamberini L, Brissy O, Carrara G, Chesnut R, Chiarini V, Chieregato A, Csomos A, Fleming JM, Gradisek P, Kaps R, Kyprianou T, Lazar I, Lemeshow S, Mikaszewska-Sokolewicz M, Paci G, Rossi C, Temkin N, Xirouchaki N, Giugni A, Bertolini G. Comparative Effectiveness of Intracranial Pressure Monitoring on 6-Month Outcomes of Critically Ill Patients With Traumatic Brain Injury. JAMA Netw Open 2023; 6:e2334214. [PMID: 37755832 PMCID: PMC10534270 DOI: 10.1001/jamanetworkopen.2023.34214] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 07/25/2023] [Indexed: 09/28/2023] Open
Abstract
Importance While the relationship between persistent elevations in intracranial pressure (ICP) and poorer outcomes is well established for patients with traumatic brain injury (TBI), there is no consensus on how ICP measurements should drive treatment choices, and the effectiveness of ICP monitoring remains unknown. Objective To evaluate the effectiveness of ICP monitoring on short- and mid-term outcomes of patients with TBI. Design, Setting, and Participants CREACTIVE was a prospective cohort study that started in March 2014 and lasted 5 years. More than 8000 patients with TBI were enrolled at 83 intensive care units (ICUs) from 7 countries who joined the CREACTIVE Consortium. Patients with TBI who met the Brain Trauma Foundation guidelines for ICP monitoring were selected for the current analyses, which were performed from January to November 2022. Exposure Patients who underwent ICP monitoring within 2 days of injury (exposure group) were propensity score-matched to patients who were not monitored or who underwent monitoring 2 days after the injury (control group). Main Outcome and Measure Functional disability at 6 months as indicated by Glasgow Outcome Scale-Extended (GOS-E) score. Results A total of 1448 patients from 43 ICUs in Italy and Hungary were eligible for analysis. Of the patients satisfying the ICP-monitoring guidelines, 503 (34.7%) underwent ICP monitoring (median [IQR] age: 45 years [29-61 years]; 392 males [77.9%], 111 females [22.1%]) and 945 were not monitored (median [IQR] age: 66 years [48-78 years]; 656 males [69.4%], 289 females [30.6%]). After matching to balance the variables, worse 6-month recovery was observed for monitored patients compared with nonmonitored patients (death/vegetative state: 39.2% vs 40.6%; severe disability: 33.2% vs 25.4%; moderate disability: 15.7% vs 14.9%; good recovery: 11.9% vs 19.1%, respectively; P = .005). Monitored patients received medical therapies significantly more frequently. Conclusions and Relevance In this cohort study, ICP monitoring was associated with poorer recovery and more frequent medical interventions with their relevant adverse effects. Optimizing the value of ICP monitoring for TBI requires further investigation on monitoring indications, clinical interventions, and management protocols.
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Affiliation(s)
- Giovanni Nattino
- Laboratory of Clinical Epidemiology, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, Bergamo, Italy
| | - Lorenzo Gamberini
- Anesthesia, Intensive Care and Prehospital Emergency, Maggiore Hospital, Bologna, Italy
| | - Obou Brissy
- Laboratory of Clinical Epidemiology, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, Bergamo, Italy
| | - Greta Carrara
- Laboratory of Clinical Epidemiology, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, Bergamo, Italy
| | - Randall Chesnut
- Department of Neurological Surgery and School of Global Health, University of Washington, Seattle
| | - Valentina Chiarini
- Anesthesia, Intensive Care and Prehospital Emergency, Maggiore Hospital, Bologna, Italy
| | - Arturo Chieregato
- Neurointensive Care Unit, Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Akos Csomos
- Hungarian Army Medical Center, Budapest, Hungary
| | - Joanne M. Fleming
- Laboratory of Clinical Epidemiology, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, Bergamo, Italy
| | - Primoz Gradisek
- Clinical Department of Anaesthesiology and Intensive Therapy, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Rafael Kaps
- General Hospital Novo Mesto, Novo Mesto, Slovenia
| | - Theodoros Kyprianou
- University of Nicosia Medical School, Nicosia, Cyprus
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, United Kingdom
| | - Isaac Lazar
- Pediatric Intensive Care Unit, Soroka Medical Center and Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Stanley Lemeshow
- Division of Biostatistics, College of Public Health, Ohio State University, Columbus
| | | | - Giulia Paci
- Hospital Nursing Management, AUSL Romagna, Maurizio Bufalini Hospital, Cesena, Italy
| | - Carlotta Rossi
- Laboratory of Clinical Epidemiology, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, Bergamo, Italy
| | - Nancy Temkin
- Department of Neurological Surgery and Department of Biostatistics, University of Washington, Seattle
| | | | - Aimone Giugni
- Anesthesia, Intensive Care and Prehospital Emergency, Maggiore Hospital, Bologna, Italy
| | - Guido Bertolini
- Laboratory of Clinical Epidemiology, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, Bergamo, Italy
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11
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Implementation of a Pediatric Neurocritical Care Program for Children With Status Epilepticus: Adherence to Continuous Electroencephalogram Monitoring. Pediatr Crit Care Med 2022; 23:1037-1046. [PMID: 36200780 DOI: 10.1097/pcc.0000000000003090] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
OBJECTIVES To describe adherence to continuous electroencephalogram (cEEG) monitoring as part of a pediatric neurocritical care (PNCC) program for status epilepticus (SE). DESIGN Retrospective review of pre- and postintervention cohorts. SETTING A pediatric referral hospital. PATIENTS Children admitted to the PICU for SE. INTERVENTIONS We restructured the care delivery model to include a pediatric neurointensive care unit (neuro-ICU) and expanded the cEEG capacity. We created a criteria-based cEEG pathway. We provided education to all providers including the nursing staff. MEASUREMENTS AND MAIN RESULTS The main outcomes were: 1) the percentages of children meeting American Clinical Neurophysiology Society (ACNS) criteria who underwent cEEG monitoring and 2) the time interval between PICU arrival and cEEG initiation. PICU admissions with the diagnosis of SE from May 2017 to December 2017 served as the baseline, which was compared with the same periods in 2018 to 2020 (PNCC era).There were 60 admissions in the pre-PNCC period (2017), 111 in 2018, 118 in 2019, and 108 in 2020. The percentages of admissions from each period that met ACNS criteria for cEEG monitoring were between 84% and 97%. In the pre-PNCC era, 22 of 52 (42%) admissions meeting ACNS criteria underwent cEEG monitoring. In the PNCC era, greater than or equal to 80% of the qualified admissions underwent cEEG monitoring (74/93 [80%] in 2018, 94/115 [82%] in 2019, and 87/101 [86%] in 2020). Compared with the pre-PNCC era, the neuro-ICU had a shorter interval between PICU arrival and cEEG initiation (216 min [141-1,444 min] vs 138 min [103-211 min]). CONCLUSIONS The implementation of a PNCC program with initiatives in care delivery, allocation of resources, and education was associated with increased adherence to best care practices for the management of SE.
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12
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Gu S, Wang Y, Ke K, Tong X, Gu J, Zhang Y. Development and validation of a RASS-related nomogram to predict the in-hospital mortality of neurocritical patients: a retrospective analysis based on the MIMIC-IV clinical database. Curr Med Res Opin 2022; 38:1923-1933. [PMID: 35972210 DOI: 10.1080/03007995.2022.2113690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND Richmond agitation-sedation scale (RASS) is a simple and widely used tool for evaluating sedation and agitation in adult ICU patients. Early deep sedation has been shown to be an important independent predictor of death, however, studies on the role of RASS in the prognostic assessment of neurocritical patients are lacking. The purpose of this study was to investigate the relationship between RASS and in-hospital mortality in neurocritical patients, and to develop and validate an effective predictive model based on this. METHODS This was a retrospective study of neurocritical patients from a large clinical database. A total of 2651 patients were collected, including general demographic characteristics, past medical history, biochemical test data and physical examination within 24 h of admission, and related medical records. Univariate and multivariate logistic regression analyses were used to screen out significant variables. Finally, 11 significant predictors were included into the logistic regression to establish the nomogram. RESULTS The area under the curve (AUC) of the nomogram was 0.9087(0.8950-0.9224) and the corrected c index was 0.9043, which gave the model better discriminatory ability compared with critical care related scales, such as SOFA and SAPSII scores. Besides, tools including calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) were used to verify that the model had good discrimination, calibration, and clinical applicability. CONCLUSIONS RASS score was an independent prognostic predictor of in-hospital death in neurocritical patients, and patients who are deeply sedated have a worse prognosis. RASS-related nomogram could be applied to predict the prognosis of neurocritical patients and to take effective intervention measures in early stage.
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Affiliation(s)
- Shenyan Gu
- Department of Neurology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Yuqin Wang
- Department of Neurology, Affiliated Hospital of Nantong University, Nantong, China
| | - Kaifu Ke
- Department of Neurology, Affiliated Hospital of Nantong University, Nantong, China
| | - Xin Tong
- Department of Neurology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Jiahui Gu
- Department of Neurology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Yuanyuan Zhang
- Department of Neurology, Affiliated Hospital of Nantong University, Nantong, China
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13
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Erklauer JC, Thammasitboon S, Shekerdemian LS, Riviello JJ, Lai YC. Creating a Robust Community of Practice as a Foundation for the Successful Development of a Pediatric Neurocritical Care Program. Pediatr Neurol 2022; 136:1-7. [PMID: 36029730 DOI: 10.1016/j.pediatrneurol.2022.07.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 07/05/2022] [Accepted: 07/27/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND There has been a growing impetus for developing pediatric neurocritical care (PNCC) programs to improve care delivery for children with critical neurological conditions. We sought to develop a unique PNCC program using the concept of Community of Practice (CoP). METHODS This is a process improvement project in an academic Children's Hospital. Using CoP framework (domain, community, practice), we created a domain of PNCC with a stated vision and formal organizational structure, a core community of intensivists and neurologists interested in PNCC, and a standardized practice approach by establishing core competencies for PNCC and implementing practice guidelines. RESULTS We evaluated the program through the Four-Frame Model of Organizational Theory and Behavior (structural, human resource, political, symbolic) and by the Neurocritical Care Society's (NCS's) standards for a Level I Neurocritical Care Unit (Neuro-ICU). Structural frame included opening a pediatric Neuro-ICU, identifying PNCC leaders across specialties, and developing a multidisciplinary care delivery model. Human resource frame included forming physician and nurse groups with a primary role in PNCC and ongoing education through workshops, lecture series, and certification. Politically, program implementation was tailored to each department gaining institution-wide support for program initiatives. Symbolically, the PNCC program highlighted the vision to advance knowledge and best practices. Our program met 232 of 252 (92%) proposed NCS standards. CONCLUSIONS The CoP as the foundation for program development has enabled us to achieve the majority of standards proposed by NCS for a Level I Neuro-ICU. The generalizability of these frameworks may facilitate the development of a PNCC program for other institutions.
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Affiliation(s)
- Jennifer C Erklauer
- Division of Critical Care Medicine, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas; Division of Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas.
| | - Satid Thammasitboon
- Division of Critical Care Medicine, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas; Center for Research, Innovation and Scholarship in Medical Education, Texas Children's Hospital, Houston, Texas
| | - Lara S Shekerdemian
- Division of Critical Care Medicine, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas
| | - James J Riviello
- Division of Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas
| | - Yi-Chen Lai
- Division of Critical Care Medicine, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas
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14
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Viarasilpa T. Implementation of neurocritical care in Thailand. Front Neurol 2022; 13:990294. [PMID: 36330426 PMCID: PMC9622761 DOI: 10.3389/fneur.2022.990294] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 09/29/2022] [Indexed: 11/23/2022] Open
Abstract
Dedicated neurointensive care units and neurointensivists are rarely available in Thailand, a developing country, despite the high burden of life-threatening neurologic illness, including strokes, post-cardiac arrest brain injury, status epilepticus, and cerebral edema from various etiologies. Therefore, the implementation of neurocritical care is essential to improve patient outcomes. With the resource-limited circumstances, the integration of neurocritical care service by collaboration between intensivists, neurologists, neurosurgeons, and other multidisciplinary care teams into the current institutional practice to take care of critically-ill neurologic patients is more suitable than building a new neurointensive care unit since this approach can promptly be made without reorganization of the hospital system. Providing neurocritical care knowledge to internal medicine and neurology residents and critical care fellows and developing a research system will lead to sustainable quality improvement in patient care. This review article will describe our current situation and strategies to implement neurocritical care in Thailand.
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15
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Mader MMD, Czorlich P. The role of L-arginine metabolism in neurocritical care patients. Neural Regen Res 2022; 17:1446-1453. [PMID: 34916417 PMCID: PMC8771107 DOI: 10.4103/1673-5374.327331] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 06/21/2021] [Accepted: 07/25/2021] [Indexed: 11/20/2022] Open
Abstract
Nitric oxide is an important mediator of vascular autoregulation and is involved in pathophysiological changes after acute neurological disorders. Nitric oxide is generated by nitric oxide synthases from the amino acid L-arginine. L-arginine can also serve as a substrate for arginases or lead to the generation of dimethylarginines, asymmetric dimethylarginine, and symmetric dimethylarginine, by methylation. Asymmetric dimethylarginine is an endogenous inhibitor of nitric oxide synthase and can lead to endothelial dysfunction. This review discusses the role of L-arginine metabolism in patients suffering from acute and critical neurological disorders often requiring neuro-intensive care treatment. Conditions addressed in this review include intracerebral hemorrhage, aneurysmal subarachnoid hemorrhage, and traumatic brain injury. Recent therapeutic advances in the field are described including current randomized controlled trials for traumatic brain injuries and hemorrhagic stroke.
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Affiliation(s)
- Marius Marc-Daniel Mader
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Patrick Czorlich
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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16
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Chang N, Rasmussen L. Exploring Trends in Neuromonitoring Use in a General Pediatric ICU: The Need for Standardized Guidance. CHILDREN (BASEL, SWITZERLAND) 2022; 9:934. [PMID: 35883918 PMCID: PMC9324621 DOI: 10.3390/children9070934] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 06/15/2022] [Accepted: 06/21/2022] [Indexed: 12/26/2022]
Abstract
Neuromonitoring has become more standardized in adult neurocritical care, but the utility of different neuromonitoring modalities in children remains debated. We aimed to describe the use of neuromonitoring in critically ill children with and without primary neurological diseases. We conducted a retrospective review of patients admitted to a 32-bed, non-cardiac PICU during a 12-month period. Neuro-imaging, electroencephalogram (EEG), cerebral oximetry (NIRS), automated pupillometry, transcranial doppler (TCD), intracranial pressure (ICP) monitoring, brain tissue oxygenation (PbtO2), primary diagnosis, and outcome were extracted. Neuromonitoring use by primary diagnosis and associations with outcome were observed. Of 1946 patients, 420 received neuro-imaging or neuromonitoring. Primary non-neurological diagnoses most frequently receiving neuromonitoring were respiratory, hematologic/oncologic, gastrointestinal/liver, and infectious/inflammatory. The most frequently used technologies among non-neurological diagnoses were neuro-imaging, EEG, pupillometry, and NIRS. In the multivariate analysis, pupillometry use was associated with mortality, and EEG, NIRS, and neuro-imaging use were associated with disability. Frequencies of TCD and PbtO2 use were too small for analysis. Neuromonitoring is prevalent among various diagnoses in the PICU, without clear benefit on outcomes when used in an ad hoc fashion. We need standard guidance around who, when, and how neuromonitoring should be applied to improve the care of critically ill children.
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Affiliation(s)
- Nathan Chang
- Pediatric Critical Care Medicine and Neurocritical Care, Lucile Packard Children’s Hospital Stanford, Palo Alto, CA 94304, USA;
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17
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Klimek M, Gravesteijn BY, Costa AM, Lobo FA. How to Study the Brain While Anesthetizing It?! A Scoping Review on Running Neuroanesthesiologic Studies and Trials That Include Neurosurgical Patients. World Neurosurg 2022; 161:376-381. [PMID: 35505557 DOI: 10.1016/j.wneu.2021.08.069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 08/13/2021] [Indexed: 11/26/2022]
Abstract
This scoping review addresses the challenges of neuroanesthesiologic research: the population, the methods/treatment/exposure, and the outcome/results. These challenges are put into the context of a future research agenda for peri-/intraoperative anesthetic management, neurocritical care, and applied neurosciences. Finally, the opportunities of adaptive trial design in neuroanesthesiologic research are discussed.
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Affiliation(s)
- Markus Klimek
- Department of Anesthesiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - Benjamin Y Gravesteijn
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Andreia M Costa
- Department of Anesthesiology, Centro Hospitalar Lisboa Norte, Lisbon, Portugal
| | - Francisco A Lobo
- Institute of Anesthesiology, Cleveland Clinic, Abu Dhabi, United Arabic Emirates
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18
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Yang C, Ma Y, Xie L, Wu X, Hui J, Jiang J, Gao G, Feng J. Intracranial Pressure Monitoring in the Intensive Care Unit for Patients with Severe Traumatic Brain Injury: Analysis of the CENTER-TBI China Registry. Neurocrit Care 2022; 37:160-171. [PMID: 35246788 DOI: 10.1007/s12028-022-01463-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 01/31/2022] [Indexed: 12/25/2022]
Abstract
BACKGROUND Although the current guidelines recommend the use of intracranial pressure (ICP) monitoring in patients with severe traumatic brain injury (sTBI), the evidence indicating benefit is limited. The present study aims to evaluate the impact of ICP monitoring on patients with sTBI in the intensive care unit (ICU). METHODS The patient data were obtained from the Collaborative European Neurotrauma Effectiveness Research in Traumatic Brain Injury China Registry, a prospective, multicenter, longitudinal, observational, cohort study. Patients with sTBI who were admitted to 52 ICUs across China, managed with ICP monitoring or without, were analyzed in this study. Patients with missing information on discharge survival status, Glasgow Coma Scale score on admission to hospital, and record of ICP monitoring application were excluded from the analysis. Data on demographic characteristics, injury, clinical features, treatments, survival at discharge, discharge destination, and length of stay were collected and assessed. The primary end point was survival state at discharge, and death from any cause was considered the event of interest. RESULTS A total of 2029 patients with sTBI were admitted to the ICU; 737 patients (36.32%) underwent ICP monitoring, and 1292 (63.68%) were managed without ICP monitoring. There was a difference between management with and without ICP monitoring on in-hospital mortality in the unmatched cohort (18.86% vs. 26.63%, p < 0.001) and the propensity-score-matched cohort (19.82% vs. 26.83%, p = 0.003). Multivariate logistic regressions also indicated that increasing age, higher injury severity score, lower Glasgow Coma Scale score, unilateral and bilateral pupillary abnormalities, systemic hypotension (SBP ≤ 90 mm Hg), hypoxia (SpO2 < 95%) on arrival at the hospital, and management without ICP monitoring were associated with higher in-hospital mortality. However, the patients without ICP monitoring had a lower length of stay in the ICU (11.79 vs. 7.95 days, p < 0.001) and hospital (25.96 vs. 21.71 days, p < 0.001), and a higher proportion of survivors were discharged to the home with better recovery in self-care. CONCLUSIONS Although ICP monitoring was not widely used by all of the centers participating in this study, patients with sTBI managed with ICP monitoring show a better outcome in overall survival. Nevertheless, the use of ICP monitoring makes the management of sTBI more complex and increases the costs of medical care by prolonging the patient's stay in the ICU or hospital.
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Affiliation(s)
- Chun Yang
- Brain Injury Center, Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Head Trauma, Shanghai, China
| | - Yuxiao Ma
- Brain Injury Center, Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Head Trauma, Shanghai, China
| | - Li Xie
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiang Wu
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiyuan Hui
- Brain Injury Center, Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Head Trauma, Shanghai, China
| | - Jiyao Jiang
- Brain Injury Center, Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Head Trauma, Shanghai, China
| | - Guoyi Gao
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Junfeng Feng
- Brain Injury Center, Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
- Shanghai Institute of Head Trauma, Shanghai, China.
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19
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Rohaut B, Demeret S. Shaping the future of neurocritical care in France. Rev Neurol (Paris) 2022; 178:7-8. [DOI: 10.1016/j.neurol.2022.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 01/18/2022] [Indexed: 11/16/2022]
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20
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Neves G, Cole T, Lee J, Bueso T, Shaw C, Montalvan V. Demographic and institutional predictors of stroke hospitalization mortality among adults in the United States. eNeurologicalSci 2022; 26:100392. [PMID: 35146139 PMCID: PMC8802002 DOI: 10.1016/j.ensci.2022.100392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 12/24/2021] [Accepted: 01/13/2022] [Indexed: 11/16/2022] Open
Abstract
Introduction Stroke remains a primary source of functional disability and inpatient mortality in the United States (US). Recent evidence reveals declining mortality associated with stroke hospitalizations in the US. However, data updating trends in inpatient mortality is lacking. This study aims to provide a renewed inpatient stroke mortality rate in a national sample and identify common predictors of inpatient stroke mortality. Methods In this cross-sectional study, we analyzed data from a nationwide database between 2010 and 2017. We included patient encounters for both ischemic (ICD9 433–434, ICD10 I630–I639) and hemorrhagic stroke (ICD9 430–432, ICD10 I600–I629). We performed an annual comparison of in-hospital stroke mortality rates, and a cross-sectional analytic approach of multiple variables identified common predictors of inpatient stroke mortality. Results Between 2010 and 2017, we identified 518,185 total stroke admissions (86.6% ischemic stroke and 13.4% hemorrhagic strokes). Stroke admissions steadily increased during the studied period, whereas we observed a steady decline in in-hospital mortality during the same time. The inpatient stroke mortality rate gradually declined from 4.8% in 2010 (95% CI 4.6–5.1) to 2.1% in 2017 (95% CI 2.0–2.1). Predictors of higher odds of dying from ischemic stroke were female (OR 1.059, 95% CI 1.015–1.105, p = 0.008), older age (OR 1.028, 95% CI 1.026–1.029, p < 0.001), and sicker patients (OR 1.091, 95% CI 1.089–1.093, p < 0.001). Predictors of higher odds of dying from hemorrhagic stroke were Hispanic ethnicity (OR 1.459, 95% CI 1.084–1.926, p < 0.001), older age (OR 1.021, 95% CI 1.019–1.023, p < 0.001), and sicker patients (OR 1.042, 95% CI 1.039–1.045, p < 0.001). All census regions and hospital types demonstrated improvements in in-hospital mortality. Conclusion This study identified a continuous declining rate in in-hospital mortality due to stroke in the United States, and it also identified demographic and hospital predictors of inpatient stroke mortality. Stroke remains a leading cause of morbidity and mortality in the United States Stroke hospitalization mortality trends are important to guide efforts in acute stroke care Vascular risk factors are still prevalent in the population admitted due to stroke and continue to be associated with higher odds of death There are important regional disparities in stroke hospitalization deaths in the United States Hospital characteristics influence odds of death from a stroke independent of stroke etiology
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Affiliation(s)
- Gabriel Neves
- Department of Neurology, Texas Tech University Medical Sciences Center, Lubbock, TX, USA
- Corresponding author at: Department of Neurology, Texas Tech University Health Sciences Center, Room 3A105, 3601 4 street, Lubbock, TX 79430, USA.
| | - Travis Cole
- Graduate School of Biomedical Sciences, Texas Tech University Medical Sciences Center, Lubbock, TX, USA
| | - Jeannie Lee
- Department of Neurology, Texas Tech University Medical Sciences Center, Lubbock, TX, USA
| | - Tulio Bueso
- Department of Neurology, Texas Tech University Medical Sciences Center, Lubbock, TX, USA
| | - Chip Shaw
- Graduate School of Biomedical Sciences, Texas Tech University Medical Sciences Center, Lubbock, TX, USA
| | - Victor Montalvan
- Department of Neurology, Texas Tech University Medical Sciences Center, Lubbock, TX, USA
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Iihara K, Saito N, Suzuki M, Date I, Fujii Y, Houkin K, Inoue T, Iwama T, Kawamata T, Kim P, Kinouchi H, Kishima H, Kohmura E, Kurisu K, Maruyama K, Matsumaru Y, Mikuni N, Miyamoto S, Morita A, Nakase H, Narita Y, Nishikawa R, Nozaki K, Ogasawara K, Ohata K, Sakai N, Sakamoto H, Shiokawa Y, Takahashi JC, Ueki K, Wakabayashi T, Yoshimoto K, Arai H, Tominaga T. The Japan Neurosurgical Database: Statistics Update 2018 and 2019. Neurol Med Chir (Tokyo) 2021; 61:675-710. [PMID: 34732592 PMCID: PMC8666296 DOI: 10.2176/nmc.st.2021-0254] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Each year, the Japan Neurosurgical Society (JNS) reports up-to-date statistics from the Japan Neurosurgical Database regarding case volume, patient demographics, and in-hospital outcomes of the overall cohort and neurosurgical subgroup according to the major classifications of main diagnosis. We hereby report patient demographics, in-hospital mortality, length of hospital stay, purpose of admission, number of medical management, direct surgery, endovascular treatment, and radiosurgery of the patients based on the major classifications and/or main diagnosis registered in 2018 and 2019 in the overall cohort (523283 and 571143 patients, respectively) and neurosurgical subgroup (177184 and 191595 patients, respectively). The patient demographics, disease severity, proportion of purpose of admission (e.g., operation, 33.9-33.5%) and emergent admission (68.4-67.8%), and in-hospital mortality (e.g., cerebrovascular diseases, 6.3-6.5%; brain tumor, 3.1-3%; and neurotrauma, 4.3%) in the overall cohort were comparable between 2018 and 2019. In total, 207783 and 225217 neurosurgical procedures were performed in the neurosurgical subgroup in 2018 and 2019, respectively, of which endovascular treatment comprised 19.1% and 20.3%, respectively. Neurosurgical management of chronic subdural hematoma (19.4-18.9%) and cerebral aneurysm (15.4-14.8%) was most common. Notably, the proportion of management of ischemic stroke/transient ischemic attack, including recombinant tissue plasminogen activator infusion and endovascular acute reperfusion therapy, increased from 7.5% in 2018 to 8.8% in 2019. The JNS statistical update represents a critical resource for the lay public, policy makers, media professionals, neurosurgeons, healthcare administrators, researchers, health advocates, and others seeking the best available data on neurosurgical practice.
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Affiliation(s)
- Koji Iihara
- Department of Neurosurgery, National Cerebral and Cardiovascular Center
| | | | - Michiyasu Suzuki
- Department of Advanced ThermoNeuroBiology, Yamaguchi University Graduate School of Medicine
| | - Isao Date
- Department of Neurological Surgery, Okayama University Graduate School of Medicine
| | - Yukihiko Fujii
- Department of Neurosurgery, Brain Research Institute, Niigata University
| | - Kiyohiro Houkin
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine
| | - Tooru Inoue
- Department of Neurosurgery, Fukuoka University School of Medicine
| | - Toru Iwama
- Department of Neurosurgery, Gifu University School of Medicine
| | | | - Phyo Kim
- Department of Neurologic Surgery, Utsunomiya Neurospine Center
| | - Hiroyuki Kinouchi
- Department of Neurosurgery, University of Yamanashi Interdisciplinary Graduate School of Medicine
| | - Haruhiko Kishima
- Department of Neurosurgery, Osaka University Graduate School of Medicine
| | - Eiji Kohmura
- Kinki Central Hospital of the Mutual Aid Association of Public School Teachers
| | - Kaoru Kurisu
- Department of Neurosurgery, Chugoku Rosai Hospital
| | - Keisuke Maruyama
- Department of Neurosurgery, Kyorin University, School of Medicine
| | - Yuji Matsumaru
- Department of Neurosurgery, Faculty of Medicine, University of Tsukuba
| | | | - Susumu Miyamoto
- Department of Neurosurgery, Kyoto University Graduate School of Medicine
| | - Akio Morita
- Department of Neurological Surgery, Nippon Medical School
| | | | - Yoshitaka Narita
- Department of Neurosurgery and Neuro-Oncology, National Cancer Center Hospital
| | - Ryo Nishikawa
- Department of Neuro-Oncology/Neurosurgery, Saitama Medical University International Medical Center
| | - Kazuhiko Nozaki
- Department of Neurosurgery, Shiga University of Medical Science
| | | | | | - Nobuyuki Sakai
- Department of Neurosurgery, Kobe City Medical Center General Hospital
| | - Hiroaki Sakamoto
- Department of Pediatric Neurosurgery, Osaka City General Hospital
| | | | - Jun C Takahashi
- Department of Neurosurgery, Kindai University Faculty of Medicine
| | - Keisuke Ueki
- Department of Neurologic Surgery, Dokkyo Medical University
| | | | - Koji Yoshimoto
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University
| | | | - Teiji Tominaga
- Department of Neurosurgery, Tohoku University Graduate School of Medicine
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22
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Deshmukh KP, Rahmani Dabbagh S, Jiang N, Tasoglu S, Yetisen AK. Recent Technological Developments in the Diagnosis and Treatment of Cerebral Edema. ADVANCED NANOBIOMED RESEARCH 2021. [DOI: 10.1002/anbr.202100001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Karthikeya P. Deshmukh
- Department of Chemical Engineering Imperial College London Imperial College Road, Kensington London SW7 2AZ UK
| | - Sajjad Rahmani Dabbagh
- Department of Mechanical Engineering Koc University Rumelifeneri Yolu, Sariyer Istanbul 34450 Turkey
| | - Nan Jiang
- West China School of Basic Medical Sciences & Forensic Medicine Sichuan University Chengdu 610041 China
| | - Savas Tasoglu
- Department of Mechanical Engineering Koc University Rumelifeneri Yolu, Sariyer Istanbul 34450 Turkey
- Boğaziçi Institute of Biomedical Engineering Boğaziçi University Istanbul 34684 Turkey
| | - Ali K. Yetisen
- Department of Chemical Engineering Imperial College London Imperial College Road, Kensington London SW7 2AZ UK
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Vranceanu AM, Bannon S, Mace R, Lester E, Meyers E, Gates M, Popok P, Lin A, Salgueiro D, Tehan T, Macklin E, Rosand J. Feasibility and Efficacy of a Resiliency Intervention for the Prevention of Chronic Emotional Distress Among Survivor-Caregiver Dyads Admitted to the Neuroscience Intensive Care Unit: A Randomized Clinical Trial. JAMA Netw Open 2020; 3:e2020807. [PMID: 33052404 PMCID: PMC7557506 DOI: 10.1001/jamanetworkopen.2020.20807] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
IMPORTANCE To our knowledge, there are no evidence-based interventions to prevent chronic emotional distress (ie, depression, anxiety, and posttraumatic stress [PTS]) in critical care survivors and their informal caregivers. OBJECTIVE To determine the feasibility and preliminary effect of the novel dyadic resiliency intervention Recovering Together (RT) on reducing symptoms of depression, anxiety, and PTS among hospitalized patients and their informal caregivers. DESIGN, SETTING, AND PARTICIPANTS This single-blind, pilot randomized clinical trial of RT vs an educational control was conducted among 58 dyads in which either the survivor or caregiver endorsed clinically significant symptoms of depression, anxiety, or PTS. The study was conducted in the neuroscience intensive care unit at Massachusetts General Hospital. Data were collected from September 2019 to March 2020. INTERVENTIONS Both RT and control programs had 6 sessions (2 at bedside and 4 via live video after discharge), and both survivor and caregiver participated together. MAIN OUTCOMES AND MEASURES The primary outcomes were feasibility of recruitment and intervention delivery, credibility, and satisfaction. The secondary outcomes included depression and anxiety (measured by the Hospital Depression and Anxiety Scale), PTS (measured by the PTSD Checklist-Civilian Version), and intervention targets (ie, mindfulness, measured by the Cognitive and Affective Mindfulness Scale-Revised; coping, measured by the Measure of Current Status-Part A; and dyadic interpersonal interactions, measured by the Dyadic Relationship Scale). Main outcomes and targets were assessed at baseline, 6 weeks, and 12 weeks. RESULTS The 58 dyads were randomized to RT (29 dyads [50.0%]; survivors: mean [SD] age, 49.3 [16.7] years; 9 [31.0%] women; caregivers: mean [SD] age, 52.4 [14.3] years; 22 [75.9%] women) or control (29 dyads [50.0%]; survivors: mean [SD] age, 50.3 [16.4] years; 12 [41.3%] women; caregivers, mean [SD] age, 52.1 [14.9], 17 [58.6%] women). Feasibility (recruitment [76%], randomization [100%], and data collection [83%-100%]), adherence (86%), fidelity (100%; κ = 0.98), satisfaction (RT: 57 of 58 [98%] with scores >6; control: 58 of 58 [100%] with scores >6), credibility (RT: 47 of 58 [81%] with scores >6; control: 46 of 58 [80%] with scores >6), and expectancy (RT: 49 of 58 [85%] with scores >13.5; 51 of 58 [87%] with scores >13.5) exceeded benchmarks set a priori. Participation in RT was associated with statistically and clinically significant improvement between baseline and postintervention in symptoms of depression (among survivors: -4.0 vs -0.6; difference, -3.4; 95% CI, -5.6 to -1.3; P = .002; among caregivers: -3.8 vs 0.6; difference, -4.5; 95% CI, -6.7 to -2.3; P < .001), anxiety (among survivors: -6.0 vs 0.3; difference, -6.3; 95% CI, -8.8 to -3.8; P < .001; among caregivers: -5.0 vs -0.9; difference, -4.1; 95% CI, -6.7 to -1.5, P = .002), and PTS (among survivors: -11.3 vs 1.0; difference, -12.3; 95% CI, -18.1 to -6.5, P < .001; among caregivers, -11.4 vs 5.0; difference, -16.4, 95% CI, -21.8 to -10.9; P < .001). Improvements sustained through the 12-week follow-up visit. We also observed RT-dependent improvement in dyadic interpersonal interactions for survivors (0.2 vs -0.2; difference, 0.4; 95% CI, 0.0 to 0.8; P = .04). CONCLUSIONS AND RELEVANCE In this pilot randomized clinical trial, RT was feasible and potentially efficacious in preventing chronic emotional distress in dyads of survivors of the neuroscience intensive care unit and their informal caregivers. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03694678.
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Affiliation(s)
- Ana-Maria Vranceanu
- Integrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | - Sarah Bannon
- Integrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Ryan Mace
- Integrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Ethan Lester
- Integrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Emma Meyers
- Integrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Melissa Gates
- Integrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Paula Popok
- Integrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Ann Lin
- Integrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Danielle Salgueiro
- Neuroscience Intensive Care Unit, Massachusetts General Hospital, Boston
| | - Tara Tehan
- Neuroscience Intensive Care Unit, Massachusetts General Hospital, Boston
| | - Eric Macklin
- Harvard Medical School, Boston, Massachusetts
- Biostatistics Center, Massachusetts General Hospital, Boston
| | - Jonathan Rosand
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
- Neuroscience Intensive Care Unit, Massachusetts General Hospital, Boston
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Baldassano SN, Roberson SW, Balu R, Scheid B, Bernabei JM, Pathmanathan J, Oommen B, Leri D, Echauz J, Gelfand M, Bhalla PK, Hill CE, Christini A, Wagenaar JB, Litt B. IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit. IEEE J Biomed Health Inform 2020; 24:2389-2397. [PMID: 31940568 PMCID: PMC7485608 DOI: 10.1109/jbhi.2020.2965858] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE New approaches are needed to interpret large amounts of physiologic data continuously recorded in the ICU. We developed and prospectively validated a versatile platform (IRIS) for real-time ICU physiologic monitoring, clinical decision making, and caretaker notification. METHODS IRIS was implemented in the neurointensive care unit to stream multimodal time series data, including EEG, intracranial pressure (ICP), and brain tissue oxygenation (PbtO2), from ICU monitors to an analysis server. IRIS was applied for 364 patients undergoing continuous EEG, 26 patients undergoing burst suppression monitoring, and four patients undergoing intracranial pressure and brain tissue oxygen monitoring. Custom algorithms were used to identify periods of elevated ICP, compute burst suppression ratios (BSRs), and detect faulty or disconnected EEG electrodes. Hospital staff were notified of clinically relevant events using our secure API to route alerts through a password-protected smartphone application. RESULTS Sustained increases in ICP and concordant decreases in PbtO2 were reliably detected using user-defined thresholds and alert throttling. BSR trends computed by the platform correlated highly with manual neurologist markings (r2 0.633-0.781; p < 0.0001). The platform identified EEG electrodes with poor signal quality with 95% positive predictive value, and reduced latency of technician response by 93%. CONCLUSION This study validates a flexible real-time platform for monitoring and interpreting ICU data and notifying caretakers of actionable results, with potential to reduce the manual burden of continuous monitoring services on care providers. SIGNIFICANCE This work represents an important step toward facilitating translational medical data analytics to improve patient care and reduce health care costs.
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Dutta A, Das A, Kondziella D, Stachowiak MK. Bioenergy Crisis in Coronavirus Diseases? Brain Sci 2020; 10:E277. [PMID: 32370257 PMCID: PMC7287678 DOI: 10.3390/brainsci10050277] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 04/12/2020] [Accepted: 04/16/2020] [Indexed: 12/22/2022] Open
Abstract
Coronavirus disease (COVID-19) has been declared as a pandemic by the World Health Organization (WHO).[...].
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Affiliation(s)
- Anirban Dutta
- Department of Biomedical Engineering, University at Buffalo, Buffalo, NY 14260, USA
| | - Abhijit Das
- Department of Neurology, The Walton Centre NHS Foundation Trust, Liverpool L9 7LJ, UK;
| | - Daniel Kondziella
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark;
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Michal K. Stachowiak
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, NY 14203, USA;
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Baldassano SN, Hill CE, Shankar A, Bernabei J, Khankhanian P, Litt B. Big data in status epilepticus. Epilepsy Behav 2019; 101:106457. [PMID: 31444029 PMCID: PMC6944751 DOI: 10.1016/j.yebeh.2019.106457] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Accepted: 07/26/2019] [Indexed: 12/23/2022]
Abstract
Status epilepticus care and treatment are already being touched by the revolution in data science. New approaches designed to leverage the tremendous potential of "big data" in the clinical sphere are enabling researchers and clinicians to extract information from sources such as administrative claims data, the electronic medical health record, and continuous physiologic monitoring data streams. Algorithmic methods of data extraction also offer potential to fuse multimodal data (including text-based documentation, imaging data, and time-series data) to improve patient assessment and stratification beyond the manual capabilities of individual physicians. Still, the potential of data science to impact the diagnosis, treatment, and minute-to-minute care of patients with status epilepticus is only starting to be appreciated. In this brief review, we discuss how data science is impacting the field and draw examples from the following three main areas: (1) analysis of insurance claims from large administrative datasets to evaluate the impact of continuous electroencephalogram (EEG) monitoring on clinical outcomes; (2) natural language processing of the electronic health record to find, classify, and stratify patients for prognostication and treatment; and (3) real-time systems for data analysis, data reduction, and multimodal data fusion to guide therapy in real time. While early, it is our hope that these examples will stimulate investigators to leverage data science, computer science, and engineering methods to improve the care and outcome of patients with status epilepticus and other neurological disorders. This article is part of the Special Issue "Proceedings of the 7th London-Innsbruck Colloquium on Status Epilepticus and Acute Seizures".
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Affiliation(s)
- Steven N. Baldassano
- Department of Bioengineering, University of Pennsylvania, 210 South 33rd Street, Philadelphia, PA 19104, United States,Center for Neuroengineering and Therapeutics, University of Pennsylvania, 240 South 33rd Street, Philadelphia, PA 19104, United States
| | - Chloé E. Hill
- Department of Neurology, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, United States
| | - Arjun Shankar
- Department of Bioengineering, University of Pennsylvania, 210 South 33rd Street, Philadelphia, PA 19104, United States,Center for Neuroengineering and Therapeutics, University of Pennsylvania, 240 South 33rd Street, Philadelphia, PA 19104, United States
| | - John Bernabei
- Department of Bioengineering, University of Pennsylvania, 210 South 33rd Street, Philadelphia, PA 19104, United States,Center for Neuroengineering and Therapeutics, University of Pennsylvania, 240 South 33rd Street, Philadelphia, PA 19104, United States
| | - Pouya Khankhanian
- Department of Neurology, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, United States,Department of Neurology, Penn Epilepsy Center, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States
| | - Brian Litt
- Department of Bioengineering, University of Pennsylvania, 210 South 33rd Street, Philadelphia, PA 19104, United States,Center for Neuroengineering and Therapeutics, University of Pennsylvania, 240 South 33rd Street, Philadelphia, PA 19104, United States,Department of Neurology, Penn Epilepsy Center, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States
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