1
|
Zoerle T, Beqiri E, Åkerlund CAI, Gao G, Heldt T, Hawryluk GWJ, Stocchetti N. Intracranial pressure monitoring in adult patients with traumatic brain injury: challenges and innovations. Lancet Neurol 2024; 23:938-950. [PMID: 39152029 DOI: 10.1016/s1474-4422(24)00235-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 05/15/2024] [Accepted: 05/28/2024] [Indexed: 08/19/2024]
Abstract
Intracranial pressure monitoring enables the detection and treatment of intracranial hypertension, a potentially lethal insult after traumatic brain injury. Despite its widespread use, robust evidence supporting intracranial pressure monitoring and treatment remains sparse. International studies have shown large variations between centres regarding the indications for intracranial pressure monitoring and treatment of intracranial hypertension. Experts have reviewed these two aspects and, by consensus, provided practical approaches for monitoring and treatment. Advances have occurred in methods for non-invasive estimation of intracranial pressure although, for now, a reliable way to non-invasively and continuously measure intracranial pressure remains aspirational. Analysis of the intracranial pressure signal can provide information on brain compliance (ie, the ability of the cranium to tolerate volume changes) and on cerebral autoregulation (ie, the ability of cerebral blood vessels to react to changes in blood pressure). The information derived from the intracranial pressure signal might allow for more individualised patient management. Machine learning and artificial intelligence approaches are being increasingly applied to intracranial pressure monitoring, but many obstacles need to be overcome before their use in clinical practice could be attempted. Robust clinical trials are needed to support indications for intracranial pressure monitoring and treatment. Progress in non-invasive assessment of intracranial pressure and in signal analysis (for targeted treatment) will also be crucial.
Collapse
Affiliation(s)
- Tommaso Zoerle
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
| | - Erta Beqiri
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Cecilia A I Åkerlund
- Department of Physiology and Pharmacology, Section of Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden; Function Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
| | - Guoyi Gao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Thomas Heldt
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Gregory W J Hawryluk
- Cleveland Clinic Akron General Hospital, Uniformed Services University, Cleveland, OH, USA
| | - Nino Stocchetti
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| |
Collapse
|
2
|
Yue JK, Yuh EL, Elguindy MM, Sun X, van Essen TA, Deng H, Belton PJ, Satris GG, Wong JC, Valadka AB, Korley FK, Robertson CS, McCrea MA, Stein MB, Diaz-Arrastia R, Wang KKW, Temkin NR, DiGiorgio AM, Tarapore PE, Huang MC, Markowitz AJ, Puccio AM, Mukherjee P, Okonkwo DO, Jain S, Manley GT. Isolated Traumatic Subarachnoid Hemorrhage on Head Computed Tomography Scan May Not Be Isolated: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study (TRACK-TBI) Study. J Neurotrauma 2024; 41:1310-1322. [PMID: 38450561 DOI: 10.1089/neu.2023.0253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024] Open
Abstract
Isolated traumatic subarachnoid hemorrhage (tSAH) after traumatic brain injury (TBI) on head computed tomography (CT) scan is often regarded as a "mild" injury, with reduced need for additional workup. However, tSAH is also a predictor of incomplete recovery and unfavorable outcome. This study aimed to evaluate the characteristics of CT-occult intracranial injuries on brain magnetic resonance imaging (MRI) scan in TBI patients with emergency department (ED) arrival Glasgow Coma Scale (GCS) score 13-15 and isolated tSAH on CT. The prospective, 18-center Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study (TRACK-TBI; enrollment years 2014-2019) enrolled participants who presented to the ED and received a clinically-indicated head CT within 24 h of TBI. A subset of TRACK-TBI participants underwent venipuncture within 24 h for plasma glial fibrillary acidic protein (GFAP) analysis, and research MRI at 2-weeks post-injury. In the current study, TRACK-TBI participants age ≥17 years with ED arrival GCS 13-15, isolated tSAH on initial head CT, plasma GFAP level, and 2-week MRI data were analyzed. In 57 participants, median age was 46.0 years [quartile 1 to 3 (Q1-Q3): 34-57] and 52.6% were male. At ED disposition, 12.3% were discharged home, 61.4% were admitted to hospital ward, and 26.3% to intensive care unit. MRI identified CT-occult traumatic intracranial lesions in 45.6% (26 of 57 participants; one additional lesion type: 31.6%; 2 additional lesion types: 14.0%); of these 26 participants with CT-occult intracranial lesions, 65.4% had axonal injury, 42.3% had subdural hematoma, and 23.1% had intracerebral contusion. GFAP levels were higher in participants with CT-occult MRI lesions compared with without (median: 630.6 pg/mL, Q1-Q3: [172.4-941.2] vs. 226.4 [105.8-436.1], p = 0.049), and were associated with axonal injury (no: median 226.7 pg/mL [109.6-435.1], yes: 828.6 pg/mL [204.0-1194.3], p = 0.009). Our results indicate that isolated tSAH on head CT is often not the sole intracranial traumatic injury in GCS 13-15 TBI. Forty-six percent of patients in our cohort (26 of 57 participants) had additional CT-occult traumatic lesions on MRI. Plasma GFAP may be an important biomarker for the identification of additional CT-occult injuries, including axonal injury. These findings should be interpreted cautiously given our small sample size and await validation from larger studies.
Collapse
Affiliation(s)
- John K Yue
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Esther L Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Mahmoud M Elguindy
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Xiaoying Sun
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - Thomas A van Essen
- Department of Neurological Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | - Hansen Deng
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Patrick J Belton
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Gabriela G Satris
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Justin C Wong
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Alex B Valadka
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Frederick K Korley
- Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Claudia S Robertson
- Department of Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
| | - Michael A McCrea
- Department of Neurological Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Murray B Stein
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kevin K W Wang
- Center for Neurotrauma, Multiomics and Biomarkers, Morehouse School of Medicine, Atlanta, Georgia, USA
| | - Nancy R Temkin
- Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle, Washington, USA
| | - Anthony M DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
- Institute of Health Policy Studies, University of California, San Francisco, San Francisco, California, USA
| | - Phiroz E Tarapore
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Michael C Huang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Amy J Markowitz
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Ava M Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| |
Collapse
|
3
|
Bhattacharyay S, Beqiri E, Zuercher P, Wilson L, Steyerberg EW, Nelson DW, Maas AIR, Menon DK, Ercole A. Therapy Intensity Level Scale for Traumatic Brain Injury: Clinimetric Assessment on Neuro-Monitored Patients Across 52 European Intensive Care Units. J Neurotrauma 2024; 41:887-909. [PMID: 37795563 PMCID: PMC11005383 DOI: 10.1089/neu.2023.0377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023] Open
Abstract
Intracranial pressure (ICP) data from traumatic brain injury (TBI) patients in the intensive care unit (ICU) cannot be interpreted appropriately without accounting for the effect of administered therapy intensity level (TIL) on ICP. A 15-point scale was originally proposed in 1987 to quantify the hourly intensity of ICP-targeted treatment. This scale was subsequently modified-through expert consensus-during the development of TBI Common Data Elements to address statistical limitations and improve usability. The latest 38-point scale (hereafter referred to as TIL) permits integrated scoring for a 24-h period and has a five-category, condensed version (TIL(Basic)) based on qualitative assessment. Here, we perform a total- and component-score analysis of TIL and TIL(Basic) to: 1) validate the scales across the wide variation in contemporary ICP management; 2) compare their performance against that of predecessors; and 3) derive guidelines for proper scale use. From the observational Collaborative European NeuroTrauma Effectiveness Research in TBI (CENTER-TBI) study, we extract clinical data from a prospective cohort of ICP-monitored TBI patients (n = 873) from 52 ICUs across 19 countries. We calculate daily TIL and TIL(Basic) scores (TIL24 and TIL(Basic)24, respectively) from each patient's first week of ICU stay. We also calculate summary TIL and TIL(Basic) scores by taking the first-week maximum (TILmax and TIL(Basic)max) and first-week median (TILmedian and TIL(Basic)median) of TIL24 and TIL(Basic)24 scores for each patient. We find that, across all measures of construct and criterion validity, the latest TIL scale performs significantly greater than or similarly to all alternative scales (including TIL(Basic)) and integrates the widest range of modern ICP treatments. TILmedian outperforms both TILmax and summarized ICP values in detecting refractory intracranial hypertension (RICH) during ICU stay. The RICH detection thresholds which maximize the sum of sensitivity and specificity are TILmedian ≥ 7.5 and TILmax ≥ 14. The TIL24 threshold which maximizes the sum of sensitivity and specificity in the detection of surgical ICP control is TIL24 ≥ 9. The median scores of each TIL component therapy over increasing TIL24 reflect a credible staircase approach to treatment intensity escalation, from head positioning to surgical ICP control, as well as considerable variability in the use of cerebrospinal fluid drainage and decompressive craniectomy. Since TIL(Basic)max suffers from a strong statistical ceiling effect and only covers 17% (95% confidence interval [CI]: 16-18%) of the information in TILmax, TIL(Basic) should not be used instead of TIL for rating maximum treatment intensity. TIL(Basic)24 and TIL(Basic)median can be suitable replacements for TIL24 and TILmedian, respectively (with up to 33% [95% CI: 31-35%] information coverage) when full TIL assessment is infeasible. Accordingly, we derive numerical ranges for categorising TIL24 scores into TIL(Basic)24 scores. In conclusion, our results validate TIL across a spectrum of ICP management and monitoring approaches. TIL is a more sensitive surrogate for pathophysiology than ICP and thus can be considered an intermediate outcome after TBI.
Collapse
Affiliation(s)
- Shubhayu Bhattacharyay
- Division of Anaesthesia, Division of Neurosurgery, University of Cambridge, Cambridge, United Kingdom
- Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, United Kingdom
| | - Erta Beqiri
- Brain Physics Laboratory, Division of Neurosurgery, University of Cambridge, Cambridge, United Kingdom
| | - Patrick Zuercher
- Department of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Lindsay Wilson
- Division of Psychology, University of Stirling, Stirling, United Kingdom
| | - Ewout W. Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - David W. Nelson
- Department of Physiology and Pharmacology, Section for Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden
| | - Andrew I. R. Maas
- Department of Neurosurgery, Antwerp University Hospital, Edegem, Belgium
- Department of Translational Neuroscience, Faculty of Medicine and Health Science, University of Antwerp, Antwerp, Belgium
| | - David K. Menon
- Division of Anaesthesia, Division of Neurosurgery, University of Cambridge, Cambridge, United Kingdom
| | - Ari Ercole
- Division of Anaesthesia, Division of Neurosurgery, University of Cambridge, Cambridge, United Kingdom
- Cambridge Center for Artificial Intelligence in Medicine, Cambridge, United Kingdom
| |
Collapse
|
4
|
Zhao G, Zhao J, Lang J, Sun G. Nrf2 functions as a pyroptosis-related mediator in traumatic brain injury and is correlated with cytokines and disease severity: a bioinformatics analysis and retrospective clinical study. Front Neurol 2024; 15:1341342. [PMID: 38405399 PMCID: PMC10884226 DOI: 10.3389/fneur.2024.1341342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/22/2024] [Indexed: 02/27/2024] Open
Abstract
Background Traumatic brain injury (TBI) is a serious hazard to human health. Evidence has accumulated that pyroptosis plays an important role in brain trauma. The aim of this study is to screen potential key molecules between TBI and pyroptosis, and further explore their relationships with disease severity and cytokines. Methods To acquire differentially expressed genes (DEGs) before and after brain injury, the GSE89866 dataset was downloaded from the Gene Expression Omnibus (GEO) database. Meanwhile, pyroptosis-related genes were obtained from the GeneCards database, and the intersected genes were identified as differentially expressed pyroptosis-related genes (DEPGs). Moreover, the hub genes were screened via four algorithms (namely Maximum Clique Centrality, Edge Percolated Component, BottleNeck and EcCentricity) in Cytoscape software. Blood levels of Nrf2 were measured by ELISA using a commercially available kit. Finally, we further investigated the correlation between Nrf2 levels and medical indicators in TBI such as clinical characteristics, inflammatory cytokines, and severity. Results Altogether, we found 1,795 DEGs in GSE89866 and 98 pyroptosis-related genes in the GeneCards database. Subsequently, four hub genes were obtained, and NFE2L2 was adopted for further clinical study. By using Kruskal-Wallis test and Spearman correlation test, we found that the serum Nrf2 levels in severe TBI patients were negatively correlated with GCS scores. On the contrary, there was a positive correlation between serum Nrf2 levels and pupil parameters, Helsinki CT scores, IL-1 β and IL-18. Conclusions In summary, bioinformatic analyses showed NFE2L2 plays a significant role in the pathology of TBI. The clinical research indicated the increase in serum Nrf2 levels was closely related to the severity of trauma and cytokines. We speculate that serum Nrf2 may serve as a promising biochemical marker for the assessment of TBI in clinical practice.
Collapse
Affiliation(s)
- Gengshui Zhao
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China
- Department of Neurosurgery, Harrison International Peace Hospital Affiliated to Hebei Medical University, Hengshui, China
| | - Jianfei Zhao
- Department of Neurosurgery, The People's Hospital of Shijiazhuang City, Shijiazhuang, China
| | - Jiadong Lang
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Guozhu Sun
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| |
Collapse
|
5
|
Chopko A, Tian M, L'Huillier JC, Filipescu R, Yu J, Guo WA. Utility of intracranial pressure monitoring in patients with traumatic brain injuries: a propensity score matching analysis of TQIP data. Eur J Trauma Emerg Surg 2024; 50:173-184. [PMID: 36795136 DOI: 10.1007/s00068-023-02239-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/27/2023] [Indexed: 02/17/2023]
Abstract
PURPOSE Intracranial pressure monitoring (ICPM) is central to traumatic brain injury (TBI) management, but its utility is controversial. METHODS The 2016-2017 TQIP database was queried for isolated TBI. Patients with ICPM [(ICPM (+)] were propensity-score matched (PSM) to those without ICPM [ICPM (-)] and divided into three age groups by years (< 18, 18-54, ≥ 55). RESULTS PSM yielded 2125 patients in each group. Patients aged < 18 years had a higher survival probability (p = 0.013) and decreased mortality (p = 0.016) in the ICPM (+) group. Complications were higher and LOS was longer in ICPM (+) patients aged 18-54 years and ≥ 55 years, but not in patients aged < 18 years. CONCLUSIONS ICPM (+) is associated with a survival benefit without an increase in complications in patents aged < 18 years. In patients aged ≥ 18 years, ICPM (+) is associated with more complications and longer LOS without a survival benefit.
Collapse
Affiliation(s)
- Ashley Chopko
- Department of Surgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Buffalo, NY, 14203, USA
| | - Mingmei Tian
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, 401 Kimball Tower, Buffalo, NY, 14214, USA
| | - Joseph C L'Huillier
- Department of Surgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Buffalo, NY, 14203, USA
- Department of Epidemiology and Environmental Health, Division of Health Services Policy and Practice, School of Public Health and Health Professions, University at Buffalo, 270 Farber Hall, Buffalo, NY, 14214, USA
| | - Radu Filipescu
- Department of Pediatric Surgery, John R. Oishei Children's Hospital, 818 Ellicott Street, Buffalo, NY, 14203, USA
| | - Jinhee Yu
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, 401 Kimball Tower, Buffalo, NY, 14214, USA
| | - Weidun A Guo
- Department of Surgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Buffalo, NY, 14203, USA.
- Erie County Medical Center, 462 Grider Street, Buffalo, NY, 14215, USA.
| |
Collapse
|
6
|
Åkerlund CAI, Holst A, Bhattacharyay S, Stocchetti N, Steyerberg E, Smielewski P, Menon DK, Ercole A, Nelson DW. Clinical descriptors of disease trajectories in patients with traumatic brain injury in the intensive care unit (CENTER-TBI): a multicentre observational cohort study. Lancet Neurol 2024; 23:71-80. [PMID: 37977157 DOI: 10.1016/s1474-4422(23)00358-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 08/31/2023] [Accepted: 09/08/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Patients with traumatic brain injury are a heterogeneous population, and the most severely injured individuals are often treated in an intensive care unit (ICU). The primary injury at impact, and the harmful secondary events that can occur during the first week of the ICU stay, will affect outcome in this vulnerable group of patients. We aimed to identify clinical variables that might distinguish disease trajectories among patients with traumatic brain injury admitted to the ICU. METHODS We used data from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) prospective observational cohort study. We included patients aged 18 years or older with traumatic brain injury who were admitted to the ICU at one of the 65 CENTER-TBI participating centres, which range from large academic hospitals to small rural hospitals. For every patient, we obtained pre-injury data and injury features, clinical characteristics on admission, demographics, physiological parameters, laboratory features, brain biomarkers (ubiquitin carboxy-terminal hydrolase L1 [UCH-L1], S100 calcium-binding protein B [S100B], tau, neurofilament light [NFL], glial fibrillary acidic protein [GFAP], and neuron-specific enolase [NSE]), and information about intracranial pressure lowering treatments during the first 7 days of ICU stay. To identify clinical variables that might distinguish disease trajectories, we applied a novel clustering method to these data, which was based on a mixture of probabilistic graph models with a Markov chain extension. The relation of clusters to the extended Glasgow Outcome Scale (GOS-E) was investigated. FINDINGS Between Dec 19, 2014, and Dec 17, 2017, 4509 patients with traumatic brain injury were recruited into the CENTER-TBI core dataset, of whom 1728 were eligible for this analysis. Glucose variation (defined as the difference between daily maximum and minimum glucose concentrations) and brain biomarkers (S100B, NSE, NFL, tau, UCH-L1, and GFAP) were consistently found to be the main clinical descriptors of disease trajectories (ie, the leading variables contributing to the distinguishing clusters) in patients with traumatic brain injury in the ICU. The disease trajectory cluster to which a patient was assigned in a model was analysed as a predictor together with variables from the IMPACT model, and prediction of both mortality and unfavourable outcome (dichotomised GOS-E ≤4) was improved. INTERPRETATION First-day ICU admission data are not the only clinical descriptors of disease trajectories in patients with traumatic brain injury. By analysing temporal variables in our study, variation of glucose was identified as the most important clinical descriptor that might distinguish disease trajectories in the ICU, which should direct further research. Biomarkers of brain injury (S100B, NSE, NFL, tau, UCH-L1, and GFAP) were also top clinical descriptors over time, suggesting they might be important in future clinical practice. FUNDING European Union 7th Framework program, Hannelore Kohl Stiftung, OneMind, Integra LifeSciences Corporation, and NeuroTrauma Sciences.
Collapse
Affiliation(s)
- Cecilia A I Åkerlund
- Department of Physiology and Pharmacology, Section of Anaesthesiology and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden; Function Perioperative Medicine and Intensive Care, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Anders Holst
- School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | | | - Nino Stocchetti
- Department of Physiopathology and Transplant, Milan University, Milan, Italy; Fondazione IRCCS, Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Ewout Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | | | - David K Menon
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Ari Ercole
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK; Centre for Artificial Intelligence in Medicine, University of Cambridge, Cambridge, UK
| | - David W Nelson
- Department of Physiology and Pharmacology, Section of Anaesthesiology and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden; Function Perioperative Medicine and Intensive Care, Karolinska University Hospital Solna, Stockholm, Sweden.
| |
Collapse
|
7
|
Cucciolini G, Motroni V, Czosnyka M. Intracranial pressure for clinicians: it is not just a number. JOURNAL OF ANESTHESIA, ANALGESIA AND CRITICAL CARE 2023; 3:31. [PMID: 37670387 PMCID: PMC10481563 DOI: 10.1186/s44158-023-00115-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 08/16/2023] [Indexed: 09/07/2023]
Abstract
BACKGROUND Invasive intracranial pressure (ICP) monitoring is a standard practice in severe brain injury cases, where it allows to derive cerebral perfusion pressure (CPP); ICP-tracing can also provide additional information about intracranial dynamics, forecast episodes of intracranial hypertension and set targets for a tailored therapy to prevent secondary brain injury. Nevertheless, controversies about the advantages of an ICP clinical management are still debated. FINDINGS This article reviews recent research on ICP to improve the understanding of the topic and uncover the hidden information in this signal that may be useful in clinical practice. Parameters derived from time-domain as well as frequency domain analysis include compensatory reserve, autoregulation estimation, pulse waveform analysis, and behavior of ICP in time. The possibility to predict the outcome and apply a tailored therapy using a personalised perfusion pressure target is also described. CONCLUSIONS ICP is a crucial signal to monitor in severely brain injured patients; a bedside computer can empower standard monitoring giving new metrics that may aid in clinical management, establish a personalized therapy, and help to predict the outcome. Continuous collaboration between engineers and clinicians and application of new technologies to healthcare, is vital to improve the accuracy of current metrics and progress towards better care with individualized dynamic targets.
Collapse
Affiliation(s)
- Giada Cucciolini
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.
- Department of Clinical Neurosciences, Division of Neurosurgery, Brain Physics Laboratory, University of Cambridge, Cambridge, UK.
| | - Virginia Motroni
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
- Department of Clinical Neurosciences, Division of Neurosurgery, Brain Physics Laboratory, University of Cambridge, Cambridge, UK
| | - Marek Czosnyka
- Department of Clinical Neurosciences, Division of Neurosurgery, Brain Physics Laboratory, University of Cambridge, Cambridge, UK
- Institute of Electronic Systems, Warsaw University of Technology, Warsaw, Poland
| |
Collapse
|
8
|
Bhattacharyay S, Caruso PF, Åkerlund C, Wilson L, Stevens RD, Menon DK, Steyerberg EW, Nelson DW, Ercole A. Mining the contribution of intensive care clinical course to outcome after traumatic brain injury. NPJ Digit Med 2023; 6:154. [PMID: 37604980 PMCID: PMC10442346 DOI: 10.1038/s41746-023-00895-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 08/01/2023] [Indexed: 08/23/2023] Open
Abstract
Existing methods to characterise the evolving condition of traumatic brain injury (TBI) patients in the intensive care unit (ICU) do not capture the context necessary for individualising treatment. Here, we integrate all heterogenous data stored in medical records (1166 pre-ICU and ICU variables) to model the individualised contribution of clinical course to 6-month functional outcome on the Glasgow Outcome Scale -Extended (GOSE). On a prospective cohort (n = 1550, 65 centres) of TBI patients, we train recurrent neural network models to map a token-embedded time series representation of all variables (including missing values) to an ordinal GOSE prognosis every 2 h. The full range of variables explains up to 52% (95% CI: 50-54%) of the ordinal variance in functional outcome. Up to 91% (95% CI: 90-91%) of this explanation is derived from pre-ICU and admission information (i.e., static variables). Information collected in the ICU (i.e., dynamic variables) increases explanation (by up to 5% [95% CI: 4-6%]), though not enough to counter poorer overall performance in longer-stay (>5.75 days) patients. Highest-contributing variables include physician-based prognoses, CT features, and markers of neurological function. Whilst static information currently accounts for the majority of functional outcome explanation after TBI, data-driven analysis highlights investigative avenues to improve the dynamic characterisation of longer-stay patients. Moreover, our modelling strategy proves useful for converting large patient records into interpretable time series with missing data integration and minimal processing.
Collapse
Affiliation(s)
- Shubhayu Bhattacharyay
- Division of Anaesthesia, University of Cambridge, Cambridge, UK.
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
- Laboratory of Computational Intensive Care Medicine, Johns Hopkins University, Baltimore, MD, USA.
| | - Pier Francesco Caruso
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, Milan, 20072, Italy
| | - Cecilia Åkerlund
- Department of Physiology and Pharmacology, Section for Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden
| | - Lindsay Wilson
- Division of Psychology, University of Stirling, Stirling, UK
| | - Robert D Stevens
- Laboratory of Computational Intensive Care Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - David K Menon
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
| | - Ewout W Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - David W Nelson
- Department of Physiology and Pharmacology, Section for Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden
| | - Ari Ercole
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
- Cambridge Centre for Artificial Intelligence in Medicine, Cambridge, UK
| |
Collapse
|
9
|
Zhao G, Fu Y, Yang C, Yang X, Hu X. CASP8 Is a Potential Therapeutic Target and Is Correlated with Pyroptosis in Traumatic Brain Injury. World Neurosurg 2023; 174:e103-e117. [DOI: org/10.1016/j.wneu.2023.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2024]
|
10
|
Zoerle T, Birg T, Carbonara M, Smielewski P, Placek MM, Zanier ER, Åkerlund CAI, Ortolano F, Stocchetti N. Accuracy of Manual Intracranial Pressure Recording Compared to a Computerized High-Resolution System: A CENTER-TBI Analysis. Neurocrit Care 2023; 38:781-790. [PMID: 36922475 PMCID: PMC10241732 DOI: 10.1007/s12028-023-01697-2] [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: 09/12/2022] [Accepted: 02/09/2023] [Indexed: 03/17/2023]
Abstract
BACKGROUND Monitoring intracranial pressure (ICP) and cerebral perfusion pressure (CPP) is crucial in the management of the patient with severe traumatic brain injury (TBI). In several institutions ICP and CPP are summarized hourly and entered manually on bedside charts; these data have been used in large observational and interventional trials. However, ICP and CPP may change rapidly and frequently, so data recorded in medical charts might underestimate actual ICP and CPP shifts. The aim of this study was to evaluate the accuracy of manual data annotation for proper capturing of ICP and CPP. For this aim, we (1) compared end-hour ICP and CPP values manually recorded (MR) with values recorded continuously by computerized high-resolution (HR) systems and (2) analyzed whether MR ICP and MR CPP are reliable indicators of the burden of intracranial hypertension and low CPP. METHODS One hundred patients were included. First, we compared the MR data with the values stored in the computerized system during the first 7 days after admission. For this point-to-point analysis, we calculated the difference between end-hour MR and HR ICP and CPP. Then we analyzed the burden of high ICP (> 20 mm Hg) and low CPP (< 60 mm Hg) measured by the computerized system, in which continuous data were stored, compared with the pressure-time dose based on end-hour measurements. RESULTS The mean difference between MR and HR end-hour values was 0.02 mm Hg for ICP (SD 3.86 mm Hg) and 1.54 mm Hg for CPP (SD 8.81 mm Hg). ICP > 20 mm Hg and CPP < 60 mm Hg were not detected by MR in 1.6% and 5.8% of synchronized measurements, respectively. Analysis of the pathological ICP and CPP throughout the recording, however, indicated that calculations based on manual recording seriously underestimated the ICP and CPP burden (in 42% and 28% of patients, respectively). CONCLUSIONS Manual entries fairly represent end-hour HR ICP and CPP. However, compared with a computerized system, they may prove inadequate, with a serious risk of underestimation of the ICP and CPP burden.
Collapse
Affiliation(s)
- Tommaso Zoerle
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
| | - Tatiana Birg
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Marco Carbonara
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Peter Smielewski
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Michal M Placek
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Elisa R Zanier
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Cecilia A I Åkerlund
- Department of Physiology and Pharmacology, Section of Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden
| | - Fabrizio Ortolano
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Nino Stocchetti
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| |
Collapse
|
11
|
Zhao G, Fu Y, Yang C, Yang X, Hu X. CASP8 Is a Potential Therapeutic Target and Is Correlated with Pyroptosis in Traumatic Brain Injury. World Neurosurg 2023; 174:e103-e117. [PMID: 36894003 DOI: 10.1016/j.wneu.2023.03.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 03/09/2023]
Abstract
BACKGROUND Traumatic brain injury (TBI) is a major cause of neurological and psychological problems, especially long-term disability. The purpose of this article is to explore molecular mechanisms linking TBI and pyroptosis with the aim of providing a promising target for future therapeutic interventions. METHODS GSE104687 microarray dataset was downloaded from the Gene Expression Omnibus database to obtain differential expressed genes. Meanwhile, pyroptosis-related genes were screened from GeneCards database, and the overlapped genes were considered as the pyroptosis-related genes in TBI. The immune infiltration analysis was conducted to quantify lymphocyte infiltration levels. Moreover, we researched the relevant microRNAs (miRNAs) and transcription factors and investigated the interactions and functions of miRNAs. In addition, the validation set and in vivo experiment further verified the expression of hub gene. RESULTS Altogether, we found 240 differential expressed genes in GSE104687 and 254 pyroptosis-related genes in the GeneCards database, and the overlapped gene was caspase 8 (CASP8). Immune Infiltration Analysis suggested the abundance of Tregs cells was significantly higher in TBI group. The NKT and CD8+ Tem were positively correlated with the expression levels of CASP8. The most significant term regarding CASP8 in Reactome pathways analysis was related to NF-kappaB. A total of 20 miRNAs and 25 transcription factors associated with CASP8 were obtained. After investigating the interactions and functions of miRNAs, the NF-kappaB-related signaling pathway was still enriched with a relatively low P-value. The validation set and in vivo experiment further verified the expression of CASP8. CONCLUSIONS Our study showed the potential role of CASP8 in pathogenesis of TBI, which may provide a new target for individualized therapy and drug development.
Collapse
Affiliation(s)
- Gengshui Zhao
- Department of Neurosurgery, The People's Hospital of Hengshui City, Hengshui, China.
| | - Yongqi Fu
- Department of Endocrinology, The People's Hospital of Hengshui City, Hengshui, China
| | - Chao Yang
- Department of Orthopedics, The People's Hospital of Hengshui City, Hengshui, China
| | - Xuehui Yang
- Department of Neurosurgery, The People's Hospital of Hengshui City, Hengshui, China
| | - Xiaoxiao Hu
- Department of Neurosurgery, The People's Hospital of Hengshui City, Hengshui, China
| |
Collapse
|
12
|
Younsi A, Unterberg A, Marzi I, Steudel WI, Uhl E, Lemcke J, Berg F, Woschek M, Friedrich M, Clusmann H, Hamou HA, Mauer UM, Scheer M, Meixensberger J, Lindner D, Schmieder K, Gierthmuehlen M, Hoefer C, Nienaber U, Maegele M. Development and first results of a national databank on care and treatment outcome after traumatic brain injury. Eur J Trauma Emerg Surg 2023; 49:1171-1181. [PMID: 37022377 DOI: 10.1007/s00068-023-02260-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 03/12/2023] [Indexed: 04/07/2023]
Abstract
PURPOSE In absence of comprehensive data collection on traumatic brain injury (TBI), the German Society for Neurosurgery (DGNC) and the German Society for Trauma Surgery (DGU) developed a TBI databank for German-speaking countries. METHODS From 2016 to 2020, the TBI databank DGNC/DGU was implemented as a module of the TraumaRegister (TR) DGU and tested in a 15-month pilot phase. Since its official launch in 2021, patients from the TR-DGU (intermediate or intensive care unit admission via shock room) with TBI (AIS head ≥ 1) can be enrolled. A data set of > 300 clinical, imaging, and laboratory variables, harmonized with other international TBI data collection structures is documented, and the treatment outcome is evaluated after 6- and 12 months. RESULTS For this analysis, 318 patients in the TBI databank could be included (median age 58 years; 71% men). Falls were the most common cause of injury (55%), and antithrombotic medication was frequent (28%). Severe or moderate TBI were only present in 55% of patients, while 45% suffered a mild injury. Nevertheless, intracranial pathologies were present in 95% of brain imaging with traumatic subarachnoid hemorrhages (76%) being the most common. Intracranial surgeries were performed in 42% of cases. In-hospital mortality after TBI was 21% and surviving patients could be discharged after a median hospital stay of 11 days. At the 6-and 12 months follow-up, a favorable outcome was achieved by 70% and 90% of the participating TBI patients, respectively. Compared to a European cohort of 2138 TBI patients treated in the ICU between 2014 and 2017, patients in the TBI databank were already older, frailer, fell more commonly at home. CONCLUSION Within five years, the TBI databank DGNC/DGU of the TR-DGU could be established and is since then prospectively enrolling TBI patients in German-speaking countries. With its large and harmonized data set and a 12-month follow-up, the TBI databank is a unique project in Europe, already allowing comparisons to other data collection structures and indicating a demographic change towards older and frailer TBI patients in Germany.
Collapse
Affiliation(s)
- Alexander Younsi
- Neurochirurgische Klinik, Universitätsklinikum Heidelberg, INF 400, 69120, Heidelberg, Germany.
| | - Andreas Unterberg
- Neurochirurgische Klinik, Universitätsklinikum Heidelberg, INF 400, 69120, Heidelberg, Germany
| | - Ingo Marzi
- Klinik für Unfall-, Hand- und Wiederherstellungschirurgie, Universitätsklinikum, Johann Wolfgang-Goethe-Universität, Frankfurt am Main, Germany
| | | | - Eberhard Uhl
- Neurochirurgische Klinik, Universitätsklinikum Gießen und Marburg Standort Gießen, Giessen, Germany
| | - Johannes Lemcke
- Klinik für Neurochirurgie, BG Klinikum Unfallkrankenhaus Berlin, Warener Straße 7, 12683, Berlin, Germany
| | - Florian Berg
- Klinik für Neurochirurgie, BG Klinikum Unfallkrankenhaus Berlin, Warener Straße 7, 12683, Berlin, Germany
| | - Mathias Woschek
- Klinik für Unfall-, Hand- und Wiederherstellungschirurgie, Universitätsklinikum, Johann Wolfgang-Goethe-Universität, Frankfurt am Main, Germany
| | - Michaela Friedrich
- Neurochirurgische Klinik, Universitätsklinikum Gießen und Marburg Standort Gießen, Giessen, Germany
| | - Hans Clusmann
- Klinik für Neurochirurgie, Uniklinik RWTH Aachen, Aachen, Germany
| | | | - Uwe Max Mauer
- Neurochirurgische Klinik, Bundeswehrkrankenhaus Ulm, Ulm, Germany
| | - Magnus Scheer
- Neurochirurgische Klinik, Bundeswehrkrankenhaus Ulm, Ulm, Germany
| | - Jürgen Meixensberger
- Klinik und Poliklinik für Neurochirurgie, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Dirk Lindner
- Klinik und Poliklinik für Neurochirurgie, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Kirsten Schmieder
- Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH, Ruhr - Universität Bochum, In Der Schornau 23-35, 44892, Bochum, Germany
| | - Mortimer Gierthmuehlen
- Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH, Ruhr - Universität Bochum, In Der Schornau 23-35, 44892, Bochum, Germany
| | - Christine Hoefer
- Akademie der Unfallchirurgie GmbH, Emil-Riedel-Straße 5, 80538, Munich, Germany
| | - Ulrike Nienaber
- Akademie der Unfallchirurgie GmbH, Emil-Riedel-Straße 5, 80538, Munich, Germany
| | - Marc Maegele
- Klinik für Orthopädie, Unfallchirurgie und Sporttraumatologie, Klinikum Köln-Merheim, Institut für Forschung in der Operativen Medizin (IFOM), Universität Witten/Herdecke, Campus Köln-Merheim, Ostmerheimerstr. 200, 51109, Cologne, Germany
| |
Collapse
|
13
|
Intracranial-Pressure-Monitoring-Assisted Management Associated with Favorable Outcomes in Moderate Traumatic Brain Injury Patients with a GCS of 9-11. J Clin Med 2022; 11:jcm11226661. [PMID: 36431137 PMCID: PMC9694446 DOI: 10.3390/jcm11226661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 11/01/2022] [Accepted: 11/02/2022] [Indexed: 11/13/2022] Open
Abstract
Objective: With a mortality rate of 10−30%, a moderate traumatic brain injury (mTBI) is one of the most variable traumas. The indications for intracranial pressure (ICP) monitoring in patients with mTBI and the effects of ICP on patients’ outcomes are uncertain. The purpose of this study was to examine the indications of ICP monitoring (ICPm) and its effects on the long-term functional outcomes of mTBI patients. Methods: Patients with Glasgow Coma Scale (GCS) scores of 9−11 at Tangdu hospital, between January 2015 and December 2021, were enrolled and treated in this retrospective cohort study. We assessed practice variations in ICP interventions using the therapy intensity level (TIL). Six-month mortality and a Glasgow Outcome Scale Extended (GOS-E) score were the main outcomes. The secondary outcome was neurological deterioration (ND) events. The indication and the estimated impact of ICPm on the functional outcome were investigated by using binary regression analyses. Results: Of the 350 patients, 145 underwent ICP monitoring-assisted management, and the other 205 patients received a standard control based on imaging or clinical examinations. A GCS ≤ 10 (OR 1.751 (95% CI 1.216−3.023), p = 0.003), midline shift (mm) ≥ 2.5 (OR 3.916 (95% CI 2.076−7.386) p < 0.001), and SDH (OR 1.772 (95% CI 1.065−2.949) p = 0.028) were predictors of ICP. Patients who had ICPm (14/145 (9.7%)) had a decreased 6-month mortality rate compared to those who were not monitored (40/205 (19.5%), p = 0.011). ICPm was linked to both improved neurological outcomes at 6 months (OR 0.815 (95% CI 0.712−0.933), p = 0.003) and a lower ND rate (2 = 11.375, p = 0.010). A higher mean ICP (17.32 ± 3.52, t = −6.047, p < 0.001) and a more significant number of ICP > 15 mmHg (27 (9−45.5), Z = −5.406, p < 0.001) or ICP > 20 mmHg (5 (0−23), Z = −4.635, p < 0.001) 72 h after injury were associated with unfavorable outcomes. The best unfavorable GOS-E cutoff value of different ICP characteristics showed that the mean ICP was >15.8 mmHg (AUC 0.698; 95% CI, 0.606−0.789, p < 0.001), the number of ICP > 15 mmHg was >25.5 (AUC 0.681; 95% CI, 0.587−0.774, p < 0.001), and the number of ICP > 20 mmHg was >6 (AUC 0.660; 95% CI, 0.561−0.759, p < 0.001). The total TIL score during the first 72 h post-injury in the non-ICP group (9 (8, 11)) was lower than that of the ICP group (13 (9, 17), Z = −8.388, p < 0.001), and was associated with unfavorable outcomes. Conclusion: ICPm-assisted management was associated with better clinical outcomes six months after discharge and lower incidences of ND for seven days post-injury. A mean ICP > 15.8 mmHg, the number of ICP > 15 mmHg > 25.5, or the number of ICP > 20 mmHg > 6 implicate an unfavorable long-term prognosis after 72 h of an mTBI.
Collapse
|
14
|
Zhao G, Fu Y, Yang C, Yang X, Hu X. Exploring the pathogenesis linking traumatic brain injury and epilepsy via bioinformatic analyses. Front Aging Neurosci 2022; 14:1047908. [PMID: 36438009 PMCID: PMC9686289 DOI: 10.3389/fnagi.2022.1047908] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 10/28/2022] [Indexed: 07/25/2024] Open
Abstract
Traumatic brain injury (TBI) is a serious disease that could increase the risk of epilepsy. The purpose of this article is to explore the common molecular mechanism in TBI and epilepsy with the aim of providing a theoretical basis for the prevention and treatment of post-traumatic epilepsy (PTE). Two datasets of TBI and epilepsy in the Gene Expression Omnibus (GEO) database were downloaded. Functional enrichment analysis, protein-protein interaction (PPI) network construction, and hub gene identification were performed based on the cross-talk genes of aforementioned two diseases. Another dataset was used to validate these hub genes. Moreover, the abundance of infiltrating immune cells was evaluated through Immune Cell Abundance Identifier (ImmuCellAI). The common microRNAs (miRNAs) between TBI and epilepsy were acquired via the Human microRNA Disease Database (HMDD). The overlapped genes in cross-talk genes and target genes predicted through the TargetScan were obtained to construct the common miRNAs-mRNAs network. A total of 106 cross-talk genes were screened out, including 37 upregulated and 69 downregulated genes. Through the enrichment analyses, we showed that the terms about cytokine and immunity were enriched many times, particularly interferon gamma signaling pathway. Four critical hub genes were screened out for co-expression analysis. The miRNA-mRNA network revealed that three miRNAs may affect the shared interferon-induced genes, which might have essential roles in PTE. Our study showed the potential role of interferon gamma signaling pathway in pathogenesis of PTE, which may provide a promising target for future therapeutic interventions.
Collapse
Affiliation(s)
- Gengshui Zhao
- Department of Neurosurgery, The People’s Hospital of Hengshui City, Hengshui, China
| | - Yongqi Fu
- Department of Endocrinology, The People’s Hospital of Hengshui City, Hengshui, China
| | - Chao Yang
- Department of Orthopedics, The People’s Hospital of Hengshui City, Hengshui, China
| | - Xuehui Yang
- Department of Neurosurgery, The People’s Hospital of Hengshui City, Hengshui, China
| | - Xiaoxiao Hu
- Department of Neurosurgery, The People’s Hospital of Hengshui City, Hengshui, China
| |
Collapse
|
15
|
Maas AIR, Menon DK, Manley GT, Abrams M, Åkerlund C, Andelic N, Aries M, Bashford T, Bell MJ, Bodien YG, Brett BL, Büki A, Chesnut RM, Citerio G, Clark D, Clasby B, Cooper DJ, Czeiter E, Czosnyka M, Dams-O’Connor K, De Keyser V, Diaz-Arrastia R, Ercole A, van Essen TA, Falvey É, Ferguson AR, Figaji A, Fitzgerald M, Foreman B, Gantner D, Gao G, Giacino J, Gravesteijn B, Guiza F, Gupta D, Gurnell M, Haagsma JA, Hammond FM, Hawryluk G, Hutchinson P, van der Jagt M, Jain S, Jain S, Jiang JY, Kent H, Kolias A, Kompanje EJO, Lecky F, Lingsma HF, Maegele M, Majdan M, Markowitz A, McCrea M, Meyfroidt G, Mikolić A, Mondello S, Mukherjee P, Nelson D, Nelson LD, Newcombe V, Okonkwo D, Orešič M, Peul W, Pisică D, Polinder S, Ponsford J, Puybasset L, Raj R, Robba C, Røe C, Rosand J, Schueler P, Sharp DJ, Smielewski P, Stein MB, von Steinbüchel N, Stewart W, Steyerberg EW, Stocchetti N, Temkin N, Tenovuo O, Theadom A, Thomas I, Espin AT, Turgeon AF, Unterberg A, Van Praag D, van Veen E, Verheyden J, Vyvere TV, Wang KKW, Wiegers EJA, Williams WH, Wilson L, Wisniewski SR, Younsi A, Yue JK, Yuh EL, Zeiler FA, Zeldovich M, Zemek R. Traumatic brain injury: progress and challenges in prevention, clinical care, and research. Lancet Neurol 2022; 21:1004-1060. [PMID: 36183712 PMCID: PMC10427240 DOI: 10.1016/s1474-4422(22)00309-x] [Citation(s) in RCA: 235] [Impact Index Per Article: 117.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 07/22/2022] [Indexed: 02/06/2023]
Abstract
Traumatic brain injury (TBI) has the highest incidence of all common neurological disorders, and poses a substantial public health burden. TBI is increasingly documented not only as an acute condition but also as a chronic disease with long-term consequences, including an increased risk of late-onset neurodegeneration. The first Lancet Neurology Commission on TBI, published in 2017, called for a concerted effort to tackle the global health problem posed by TBI. Since then, funding agencies have supported research both in high-income countries (HICs) and in low-income and middle-income countries (LMICs). In November 2020, the World Health Assembly, the decision-making body of WHO, passed resolution WHA73.10 for global actions on epilepsy and other neurological disorders, and WHO launched the Decade for Action on Road Safety plan in 2021. New knowledge has been generated by large observational studies, including those conducted under the umbrella of the International Traumatic Brain Injury Research (InTBIR) initiative, established as a collaboration of funding agencies in 2011. InTBIR has also provided a huge stimulus to collaborative research in TBI and has facilitated participation of global partners. The return on investment has been high, but many needs of patients with TBI remain unaddressed. This update to the 2017 Commission presents advances and discusses persisting and new challenges in prevention, clinical care, and research. In LMICs, the occurrence of TBI is driven by road traffic incidents, often involving vulnerable road users such as motorcyclists and pedestrians. In HICs, most TBI is caused by falls, particularly in older people (aged ≥65 years), who often have comorbidities. Risk factors such as frailty and alcohol misuse provide opportunities for targeted prevention actions. Little evidence exists to inform treatment of older patients, who have been commonly excluded from past clinical trials—consequently, appropriate evidence is urgently required. Although increasing age is associated with worse outcomes from TBI, age should not dictate limitations in therapy. However, patients injured by low-energy falls (who are mostly older people) are about 50% less likely to receive critical care or emergency interventions, compared with those injured by high-energy mechanisms, such as road traffic incidents. Mild TBI, defined as a Glasgow Coma sum score of 13–15, comprises most of the TBI cases (over 90%) presenting to hospital. Around 50% of adult patients with mild TBI presenting to hospital do not recover to pre-TBI levels of health by 6 months after their injury. Fewer than 10% of patients discharged after presenting to an emergency department for TBI in Europe currently receive follow-up. Structured follow-up after mild TBI should be considered good practice, and urgent research is needed to identify which patients with mild TBI are at risk for incomplete recovery. The selection of patients for CT is an important triage decision in mild TBI since it allows early identification of lesions that can trigger hospital admission or life-saving surgery. Current decision making for deciding on CT is inefficient, with 90–95% of scanned patients showing no intracranial injury but being subjected to radiation risks. InTBIR studies have shown that measurement of blood-based biomarkers adds value to previously proposed clinical decision rules, holding the potential to improve efficiency while reducing radiation exposure. Increased concentrations of biomarkers in the blood of patients with a normal presentation CT scan suggest structural brain damage, which is seen on MR scanning in up to 30% of patients with mild TBI. Advanced MRI, including diffusion tensor imaging and volumetric analyses, can identify additional injuries not detectable by visual inspection of standard clinical MR images. Thus, the absence of CT abnormalities does not exclude structural damage—an observation relevant to litigation procedures, to management of mild TBI, and when CT scans are insufficient to explain the severity of the clinical condition. Although blood-based protein biomarkers have been shown to have important roles in the evaluation of TBI, most available assays are for research use only. To date, there is only one vendor of such assays with regulatory clearance in Europe and the USA with an indication to rule out the need for CT imaging for patients with suspected TBI. Regulatory clearance is provided for a combination of biomarkers, although evidence is accumulating that a single biomarker can perform as well as a combination. Additional biomarkers and more clinical-use platforms are on the horizon, but cross-platform harmonisation of results is needed. Health-care efficiency would benefit from diversity in providers. In the intensive care setting, automated analysis of blood pressure and intracranial pressure with calculation of derived parameters can help individualise management of TBI. Interest in the identification of subgroups of patients who might benefit more from some specific therapeutic approaches than others represents a welcome shift towards precision medicine. Comparative-effectiveness research to identify best practice has delivered on expectations for providing evidence in support of best practices, both in adult and paediatric patients with TBI. Progress has also been made in improving outcome assessment after TBI. Key instruments have been translated into up to 20 languages and linguistically validated, and are now internationally available for clinical and research use. TBI affects multiple domains of functioning, and outcomes are affected by personal characteristics and life-course events, consistent with a multifactorial bio-psycho-socio-ecological model of TBI, as presented in the US National Academies of Sciences, Engineering, and Medicine (NASEM) 2022 report. Multidimensional assessment is desirable and might be best based on measurement of global functional impairment. More work is required to develop and implement recommendations for multidimensional assessment. Prediction of outcome is relevant to patients and their families, and can facilitate the benchmarking of quality of care. InTBIR studies have identified new building blocks (eg, blood biomarkers and quantitative CT analysis) to refine existing prognostic models. Further improvement in prognostication could come from MRI, genetics, and the integration of dynamic changes in patient status after presentation. Neurotrauma researchers traditionally seek translation of their research findings through publications, clinical guidelines, and industry collaborations. However, to effectively impact clinical care and outcome, interactions are also needed with research funders, regulators, and policy makers, and partnership with patient organisations. Such interactions are increasingly taking place, with exemplars including interactions with the All Party Parliamentary Group on Acquired Brain Injury in the UK, the production of the NASEM report in the USA, and interactions with the US Food and Drug Administration. More interactions should be encouraged, and future discussions with regulators should include debates around consent from patients with acute mental incapacity and data sharing. Data sharing is strongly advocated by funding agencies. From January 2023, the US National Institutes of Health will require upload of research data into public repositories, but the EU requires data controllers to safeguard data security and privacy regulation. The tension between open data-sharing and adherence to privacy regulation could be resolved by cross-dataset analyses on federated platforms, with the data remaining at their original safe location. Tools already exist for conventional statistical analyses on federated platforms, however federated machine learning requires further development. Support for further development of federated platforms, and neuroinformatics more generally, should be a priority. This update to the 2017 Commission presents new insights and challenges across a range of topics around TBI: epidemiology and prevention (section 1 ); system of care (section 2 ); clinical management (section 3 ); characterisation of TBI (section 4 ); outcome assessment (section 5 ); prognosis (Section 6 ); and new directions for acquiring and implementing evidence (section 7 ). Table 1 summarises key messages from this Commission and proposes recommendations for the way forward to advance research and clinical management of TBI.
Collapse
Affiliation(s)
- Andrew I R Maas
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - David K Menon
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Mathew Abrams
- International Neuroinformatics Coordinating Facility, Karolinska Institutet, Stockholm, Sweden
| | - Cecilia Åkerlund
- Department of Physiology and Pharmacology, Section of Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden
| | - Nada Andelic
- Division of Clinical Neuroscience, Department of Physical Medicine and Rehabilitation, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Marcel Aries
- Department of Intensive Care, Maastricht UMC, Maastricht, Netherlands
| | - Tom Bashford
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Michael J Bell
- Critical Care Medicine, Neurological Surgery and Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Yelena G Bodien
- Department of Neurology and Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
| | - Benjamin L Brett
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - András Büki
- Department of Neurosurgery, Faculty of Medicine and Health Örebro University, Örebro, Sweden
- Department of Neurosurgery, Medical School; ELKH-PTE Clinical Neuroscience MR Research Group; and Neurotrauma Research Group, Janos Szentagothai Research Centre, University of Pecs, Pecs, Hungary
| | - Randall M Chesnut
- Department of Neurological Surgery and Department of Orthopaedics and Sports Medicine, University of Washington, Harborview Medical Center, Seattle, WA, USA
| | - Giuseppe Citerio
- School of Medicine and Surgery, Universita Milano Bicocca, Milan, Italy
- NeuroIntensive Care, San Gerardo Hospital, Azienda Socio Sanitaria Territoriale (ASST) Monza, Monza, Italy
| | - David Clark
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Betony Clasby
- Department of Sociological Studies, University of Sheffield, Sheffield, UK
| | - D Jamie Cooper
- School of Public Health and Preventive Medicine, Monash University and The Alfred Hospital, Melbourne, VIC, Australia
| | - Endre Czeiter
- Department of Neurosurgery, Medical School; ELKH-PTE Clinical Neuroscience MR Research Group; and Neurotrauma Research Group, Janos Szentagothai Research Centre, University of Pecs, Pecs, Hungary
| | - Marek Czosnyka
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Kristen Dams-O’Connor
- Department of Rehabilitation and Human Performance and Department of Neurology, Brain Injury Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Véronique De Keyser
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - Ramon Diaz-Arrastia
- Department of Neurology and Center for Brain Injury and Repair, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ari Ercole
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Thomas A van Essen
- Department of Neurosurgery, Leiden University Medical Center, Leiden, Netherlands
- Department of Neurosurgery, Medical Center Haaglanden, The Hague, Netherlands
| | - Éanna Falvey
- College of Medicine and Health, University College Cork, Cork, Ireland
| | - Adam R Ferguson
- Brain and Spinal Injury Center, Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco and San Francisco Veterans Affairs Healthcare System, San Francisco, CA, USA
| | - Anthony Figaji
- Division of Neurosurgery and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Melinda Fitzgerald
- Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
- Perron Institute for Neurological and Translational Sciences, Nedlands, WA, Australia
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati Gardner Neuroscience Institute, University of Cincinnati, Cincinnati, OH, USA
| | - Dashiell Gantner
- School of Public Health and Preventive Medicine, Monash University and The Alfred Hospital, Melbourne, VIC, Australia
| | - Guoyi Gao
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine
| | - Joseph Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School and Spaulding Rehabilitation Hospital, Charlestown, MA, USA
| | - Benjamin Gravesteijn
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Fabian Guiza
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Leuven, Belgium
| | - Deepak Gupta
- Department of Neurosurgery, Neurosciences Centre and JPN Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India
| | - Mark Gurnell
- Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Juanita A Haagsma
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Flora M Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Rehabilitation Hospital of Indiana, Indianapolis, IN, USA
| | - Gregory Hawryluk
- Section of Neurosurgery, GB1, Health Sciences Centre, University of Manitoba, Winnipeg, MB, Canada
| | - Peter Hutchinson
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Mathieu van der Jagt
- Department of Intensive Care, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health, University of California, San Diego, CA, USA
| | - Swati Jain
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Ji-yao Jiang
- Department of Neurosurgery, Shanghai Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hope Kent
- Department of Psychology, University of Exeter, Exeter, UK
| | - Angelos Kolias
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Erwin J O Kompanje
- Department of Intensive Care, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Fiona Lecky
- Centre for Urgent and Emergency Care Research, Health Services Research Section, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Hester F Lingsma
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Marc Maegele
- Cologne-Merheim Medical Center, Department of Trauma and Orthopedic Surgery, Witten/Herdecke University, Cologne, Germany
| | - Marek Majdan
- Institute for Global Health and Epidemiology, Department of Public Health, Faculty of Health Sciences and Social Work, Trnava University, Trnava, Slovakia
| | - Amy Markowitz
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Michael McCrea
- Department of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Geert Meyfroidt
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Leuven, Belgium
| | - Ana Mikolić
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Stefania Mondello
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - David Nelson
- Section for Anesthesiology and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Lindsay D Nelson
- Department of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Virginia Newcombe
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - David Okonkwo
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Matej Orešič
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Wilco Peul
- Department of Neurosurgery, Leiden University Medical Center, Leiden, Netherlands
| | - Dana Pisică
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Neurosurgery, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Suzanne Polinder
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jennie Ponsford
- Monash-Epworth Rehabilitation Research Centre, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Louis Puybasset
- Department of Anesthesiology and Intensive Care, APHP, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
| | - Rahul Raj
- Department of Neurosurgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Chiara Robba
- Department of Anaesthesia and Intensive Care, Policlinico San Martino IRCCS for Oncology and Neuroscience, Genova, Italy, and Dipartimento di Scienze Chirurgiche e Diagnostiche, University of Genoa, Italy
| | - Cecilie Røe
- Division of Clinical Neuroscience, Department of Physical Medicine and Rehabilitation, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | - David J Sharp
- Department of Brain Sciences, Imperial College London, London, UK
| | - Peter Smielewski
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Murray B Stein
- Department of Psychiatry and Department of Family Medicine and Public Health, UCSD School of Medicine, La Jolla, CA, USA
| | - Nicole von Steinbüchel
- Institute of Medical Psychology and Medical Sociology, University Medical Center Goettingen, Goettingen, Germany
| | - William Stewart
- Department of Neuropathology, Queen Elizabeth University Hospital and University of Glasgow, Glasgow, UK
| | - Ewout W Steyerberg
- Department of Biomedical Data Sciences Leiden University Medical Center, Leiden, Netherlands
| | - Nino Stocchetti
- Department of Pathophysiology and Transplantation, Milan University, and Neuroscience ICU, Fondazione IRCCS Ca Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Nancy Temkin
- Departments of Neurological Surgery, and Biostatistics, University of Washington, Seattle, WA, USA
| | - Olli Tenovuo
- Department of Rehabilitation and Brain Trauma, Turku University Hospital, and Department of Neurology, University of Turku, Turku, Finland
| | - Alice Theadom
- National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Studies, Auckland University of Technology, Auckland, New Zealand
| | - Ilias Thomas
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Abel Torres Espin
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Alexis F Turgeon
- Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada
| | - Andreas Unterberg
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Dominique Van Praag
- Departments of Clinical Psychology and Neurosurgery, Antwerp University Hospital, and University of Antwerp, Edegem, Belgium
| | - Ernest van Veen
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | | | - Thijs Vande Vyvere
- Department of Radiology, Faculty of Medicine and Health Sciences, Department of Rehabilitation Sciences (MOVANT), Antwerp University Hospital, and University of Antwerp, Edegem, Belgium
| | - Kevin K W Wang
- Department of Psychiatry, University of Florida, Gainesville, FL, USA
| | - Eveline J A Wiegers
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - W Huw Williams
- Centre for Clinical Neuropsychology Research, Department of Psychology, University of Exeter, Exeter, UK
| | - Lindsay Wilson
- Division of Psychology, University of Stirling, Stirling, UK
| | - Stephen R Wisniewski
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Alexander Younsi
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - John K Yue
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Esther L Yuh
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Frederick A Zeiler
- Departments of Surgery, Human Anatomy and Cell Science, and Biomedical Engineering, Rady Faculty of Health Sciences and Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Marina Zeldovich
- Institute of Medical Psychology and Medical Sociology, University Medical Center Goettingen, Goettingen, Germany
| | - Roger Zemek
- Departments of Pediatrics and Emergency Medicine, University of Ottawa, Children’s Hospital of Eastern Ontario, ON, Canada
| | | |
Collapse
|
16
|
Hawryluk GWJ, Citerio G, Hutchinson P, Kolias A, Meyfroidt G, Robba C, Stocchetti N, Chesnut R. Intracranial pressure: current perspectives on physiology and monitoring. Intensive Care Med 2022; 48:1471-1481. [PMID: 35816237 DOI: 10.1007/s00134-022-06786-y] [Citation(s) in RCA: 52] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 06/08/2022] [Indexed: 02/06/2023]
Abstract
Intracranial pressure (ICP) monitoring is now viewed as integral to the clinical care of many life-threatening brain insults, such as severe traumatic brain injury, subarachnoid hemorrhage, and malignant stroke. It serves to warn of expanding intracranial mass lesions, to prevent or treat herniation events as well as pressure elevation which impedes nutrient delivery to the brain. It facilitates the calculation of cerebral perfusion pressure (CPP) and the estimation of cerebrovascular autoregulatory status. Despite advancements in our knowledge emanating from a half century of experience with this technology, important controversies remain related even to fundamental aspects of ICP measurements, including indications for monitoring, ICP treatment thresholds, and management of intracranial hypertension. Here, we review the history of ICP monitoring, the underlying pathophysiology as well as current perspectives on why, when and how ICP monitoring is best used. ICP is typically assessed invasively but a number of emerging, non-invasive technologies with inherently lower risk are showing promise. In selected cases, additional neuromonitoring can be used to assist in the interpretation of ICP monitoring information and adapt directed treatment accordingly. Additional efforts to expand the evidence base relevant to ICP monitoring, related technologies and management remain a high priority in neurosurgery and neurocritical care.
Collapse
Affiliation(s)
- Gregory W J Hawryluk
- Section of Neurosurgery, University of Manitoba, GB1, 820 Sherbrook Street, Winnipeg, MB, R3A 1R9, Canada.
| | - Giuseppe Citerio
- School of Medicine and Surgery, University of Milan-Bicocca, Milan, Italy.,Neuro-Intensive Care, Department of Neurosciences, San Gerardo Hospital, ASST-MONZA, Monza, Italy
| | - Peter Hutchinson
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital and University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB20QQ, UK
| | - Angelos Kolias
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital and University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB20QQ, UK
| | - Geert Meyfroidt
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Herestraat 49, Box 7003, 63 3000, Leuven, Belgium
| | - Chiara Robba
- Anaesthesia and Intensive Care, San Martino Research Hospital, Genoa, Italy
| | - Nino Stocchetti
- Anesthesia and Intensive Care, Department of Physiopathology and Transplantation, Milan University, Milan, Italy.,Department of Anaesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Randall Chesnut
- Neurosurgery, Neurotrauma, Department of Neurological Surgery, Department of Orthopaedic Surgery, School of Global Health, Harborview Medical Center, University of Washington, 325 Ninth Ave, Mailstop 359766, Seattle, WA, 98104-2499, USA
| |
Collapse
|
17
|
Åkerlund CAI, Holst A, Stocchetti N, Steyerberg EW, Menon DK, Ercole A, Nelson DW. Clustering identifies endotypes of traumatic brain injury in an intensive care cohort: a CENTER-TBI study. Crit Care 2022; 26:228. [PMID: 35897070 PMCID: PMC9327174 DOI: 10.1186/s13054-022-04079-w] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 07/02/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND While the Glasgow coma scale (GCS) is one of the strongest outcome predictors, the current classification of traumatic brain injury (TBI) as 'mild', 'moderate' or 'severe' based on this fails to capture enormous heterogeneity in pathophysiology and treatment response. We hypothesized that data-driven characterization of TBI could identify distinct endotypes and give mechanistic insights. METHODS We developed an unsupervised statistical clustering model based on a mixture of probabilistic graphs for presentation (< 24 h) demographic, clinical, physiological, laboratory and imaging data to identify subgroups of TBI patients admitted to the intensive care unit in the CENTER-TBI dataset (N = 1,728). A cluster similarity index was used for robust determination of optimal cluster number. Mutual information was used to quantify feature importance and for cluster interpretation. RESULTS Six stable endotypes were identified with distinct GCS and composite systemic metabolic stress profiles, distinguished by GCS, blood lactate, oxygen saturation, serum creatinine, glucose, base excess, pH, arterial partial pressure of carbon dioxide, and body temperature. Notably, a cluster with 'moderate' TBI (by traditional classification) and deranged metabolic profile, had a worse outcome than a cluster with 'severe' GCS and a normal metabolic profile. Addition of cluster labels significantly improved the prognostic precision of the IMPACT (International Mission for Prognosis and Analysis of Clinical trials in TBI) extended model, for prediction of both unfavourable outcome and mortality (both p < 0.001). CONCLUSIONS Six stable and clinically distinct TBI endotypes were identified by probabilistic unsupervised clustering. In addition to presenting neurology, a profile of biochemical derangement was found to be an important distinguishing feature that was both biologically plausible and associated with outcome. Our work motivates refining current TBI classifications with factors describing metabolic stress. Such data-driven clusters suggest TBI endotypes that merit investigation to identify bespoke treatment strategies to improve care. Trial registration The core study was registered with ClinicalTrials.gov, number NCT02210221 , registered on August 06, 2014, with Resource Identification Portal (RRID: SCR_015582).
Collapse
Affiliation(s)
- Cecilia A I Åkerlund
- Section of Perioperative Medicine and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden. .,School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.
| | - Anders Holst
- School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Nino Stocchetti
- Neuroscience Intensive Care Unit, Department of Pathophysiology and Transplants, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Ewout W Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - David K Menon
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Ari Ercole
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK.,Centre for Artificial Intelligence in Medicine, University of Cambridge, Cambridge, UK
| | - David W Nelson
- Section of Perioperative Medicine and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | | |
Collapse
|
18
|
Volovici V, Pisică D, Gravesteijn BY, Dirven CMF, Steyerberg EW, Ercole A, Stocchetti N, Nelson D, Menon DK, Citerio G, van der Jagt M, Maas AIR, Haitsma IK, Lingsma HF, Åkerlund C, Amrein K, Andelic N, Andreassen L, Audibert G, Azouvi P, Azzolini ML, Bartels R, Beer R, Bellander BM, Benali H, Berardino M, Beretta L, Beqiri E, Blaabjerg M, Lund SB, Brorsson C, Buki A, Cabeleira M, Caccioppola A, Calappi E, Calvi MR, Cameron P, Lozano GC, Castaño-León AM, Cavallo S, Chevallard G, Chieregato A, Coburn M, Coles J, Cooper JD, Correia M, Czeiter E, Czosnyka M, Dahyot-Fizelier C, Dark P, De Keyser V, Degos V, Corte FD, Boogert HD, Depreitere B, Dilvesi D, Dixit A, Dreier J, Dulière GL, Ezer E, Fabricius M, Foks K, Frisvold S, Furmanov A, Galanaud D, Gantner D, Ghuysen A, Giga L, Golubovic J, Gomez PA, Grossi F, Gupta D, Haitsma I, Helseth E, Hutchinson PJ, Jankowski S, Johnson F, Karan M, Kolias AG, Kondziella D, Koraropoulos E, Koskinen LO, Kovács N, Kowark A, Lagares A, Laureys S, Ledoux D, Lejeune A, Lightfoot R, Manara A, Martino C, Maréchal H, Mattern J, McMahon C, Menovsky T, Misset B, Muraleedharan V, Murray L, Negru A, Newcombe V, Nyirádi J, Ortolano F, Payen JF, Perlbarg V, Persona P, Piippo-Karjalainen A, Ples H, Pomposo I, Posti JP, Puybasset L, Radoi A, Ragauskas A, Raj R, Rhodes J, Richter S, Rocka S, Roe C, Roise O, Rosenfeld JV, Rosenlund C, Rosenthal G, Rossaint R, Rossi S, Sahuquillo J, Sandrød O, Sakowitz O, Sanchez-Porras R, Schirmer-Mikalsen K, Schou RF, Smielewski P, Sorinola A, Stamatakis E, Sundström N, Takala R, Tamás V, Tamosuitis T, Tenovuo O, Thomas M, Tibboel D, Tolias C, Trapani T, Tudora CM, Vajkoczy P, Vallance S, Valeinis E, Vámos Z, Van der Steen G, van Wijk RPJ, Vargiolu A, Vega E, Vik A, Vilcinis R, Vulekovic P, Williams G, Winzeck S, Wolf S, Younsi A, Zeiler FA, Ziverte A, Clusmann H, Voormolen D, van Dijck JTJM, van Essen TA. Comparative effectiveness of intracranial hypertension management guided by ventricular versus intraparenchymal pressure monitoring: a CENTER-TBI study. Acta Neurochir (Wien) 2022; 164:1693-1705. [PMID: 35648213 PMCID: PMC9233652 DOI: 10.1007/s00701-022-05257-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 05/11/2022] [Indexed: 12/04/2022]
Abstract
OBJECTIVE To compare outcomes between patients with primary external ventricular device (EVD)-driven treatment of intracranial hypertension and those with primary intraparenchymal monitor (IP)-driven treatment. METHODS The CENTER-TBI study is a prospective, multicenter, longitudinal observational cohort study that enrolled patients of all TBI severities from 62 participating centers (mainly level I trauma centers) across Europe between 2015 and 2017. Functional outcome was assessed at 6 months and a year. We used multivariable adjusted instrumental variable (IV) analysis with "center" as instrument and logistic regression with covariate adjustment to determine the effect estimate of EVD on 6-month functional outcome. RESULTS A total of 878 patients of all TBI severities with an indication for intracranial pressure (ICP) monitoring were included in the present study, of whom 739 (84%) patients had an IP monitor and 139 (16%) an EVD. Patients included were predominantly male (74% in the IP monitor and 76% in the EVD group), with a median age of 46 years in the IP group and 48 in the EVD group. Six-month GOS-E was similar between IP and EVD patients (adjusted odds ratio (aOR) and 95% confidence interval [CI] OR 0.74 and 95% CI [0.36-1.52], adjusted IV analysis). The length of intensive care unit stay was greater in the EVD group than in the IP group (adjusted rate ratio [95% CI] 1.70 [1.34-2.12], IV analysis). One hundred eighty-seven of the 739 patients in the IP group (25%) required an EVD due to refractory ICPs. CONCLUSION We found no major differences in outcomes of patients with TBI when comparing EVD-guided and IP monitor-guided ICP management. In our cohort, a quarter of patients that initially received an IP monitor required an EVD later for ICP control. The prevalence of complications was higher in the EVD group. PROTOCOL The core study is registered with ClinicalTrials.gov , number NCT02210221, and the Resource Identification Portal (RRID: SCR_015582).
Collapse
|
19
|
Gantner D, Wiegers E, Bragge P, Finfer S, Delaney A, van Essen T, Peul WC, Maas A, Cooper DJ. Decompressive craniectomy practice following traumatic brain injury, in comparison with randomized trials. J Neurotrauma 2022; 39:860-869. [PMID: 35243877 DOI: 10.1089/neu.2021.0312] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
High quality evidence shows decompressive craniectomy (DC) following traumatic brain injury (TBI) may improve survival but increase the number of severely disabled survivors. Contemporary international practice is unknown. We sought to describe international use of DC, and the alignment with evidence and clinical practice guidelines, by analyzing the harmonized CENTER-TBI and OzENTER-TBI Core study datasets. These include patients admitted to ICUs in Europe, the United Kingdom and Australia between 2015 and 2017. Outcomes of interest were treatment with DC relative to clinical trial evidence and the Brain Trauma Foundation guidelines. Of 2336 people admitted to ICUs following TBI, DC was performed in 320 (13.7%): in 64/1422 (4.5%) patients with diffuse TBI, and 195/640 (30.5%) patients with traumatic mass lesions. Secondary DC (for treatment of intracranial hypertension) was used infrequently in patients who met enrolment criteria of the two randomised clinical trials informing the guidelines: in 11/124 (8.9%) of those matching DECRA enrolment, and in 30/224 (13.4%) of those matching RESCUEicp. Of patients who underwent DC 258/320 (80.6%) were ineligible for either trial: 149/320 (46.6%) underwent primary DC, 62/320 (19.4%) were outside the trials' age criteria, and 126/320 (39.4%) did not develop intracranial hypertension refractory to non-operative therapies prior to DC. Secondary DC was used infrequently in patients in whom it had been shown to be potentially harmful, indicating alignment between contemporaneous evidence and practice. However, most patients who underwent DC were ineligible for the key trials; whether they benefitted from DC remains unknown.
Collapse
Affiliation(s)
- Dashiell Gantner
- Monash University, 2541, Australian and New Zealand Intensive Care Research Centre, 553 St Kilda Rd, Melbourne, Victoria, Australia, 3004.,Alfred Health, 5392, Department of Intensive Care, 55 Commercial Rd, Melbourne, Victoria, Australia, 3004;
| | - Eveline Wiegers
- Erasmus University Rotterdam, 6984, Department of Public Health, Kortenaerstraat 22, J, Rotterdam, Zuid-Holland, Netherlands, 3012VD;
| | - Peter Bragge
- National Trauma Research Institute, 89 Commercial Road, Prahran, Melbourne, Victoria, Australia, 3004;
| | - Simon Finfer
- Royal North Shore Hospital, Intensive Care Unit, Pacific Highway, Sydney, New South Wales, Australia, 2076;
| | - Anthony Delaney
- The George Institute for Global Health, 211065, Newtown, New South Wales, Australia;
| | | | - Wilco C Peul
- Leiden University Medical Center, 4501, Neurosurgery, LUMC, Albinusdreef 2, Leiden, Holland, Netherlands, 2300 RC.,Medical Centre Haaglanden, 2901, Neurosurgery, Den Haag, Netherlands, 2501 CK;
| | - Andrew Maas
- University Hospital Antwerp, Neurosurgery, Wilrijkstraat 10, Edegem, Belgium, 2650.,Netherlands;
| | - D James Cooper
- The Alfred, Intensive Care, Commercial Road, Melbourne, Victoria, Australia, 3004.,Monash University, ANZIC-RC, Level 6, The Alfred Centre, 99 Commercial Road, Melbourne, Victoria, Australia, 3004;
| |
Collapse
|
20
|
Can We Cluster ICU Treatment Strategies for Traumatic Brain Injury by Hospital Treatment Preferences? Neurocrit Care 2021; 36:846-856. [PMID: 34873673 PMCID: PMC9110448 DOI: 10.1007/s12028-021-01386-y] [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: 02/26/2021] [Accepted: 10/20/2021] [Indexed: 11/29/2022]
Abstract
Background In traumatic brain injury (TBI), large between-center differences in treatment and outcome for patients managed in the intensive care unit (ICU) have been shown. The aim of this study is to explore if European neurotrauma centers can be clustered, based on their treatment preference in different domains of TBI care in the ICU. Methods Provider profiles of centers participating in the Collaborative European Neurotrauma Effectiveness Research in TBI study were used to assess correlations within and between the predefined domains: intracranial pressure monitoring, coagulation and transfusion, surgery, prophylactic antibiotics, and more general ICU treatment policies. Hierarchical clustering using Ward’s minimum variance method was applied to group data with the highest similarity. Heat maps were used to visualize whether hospitals could be grouped to uncover types of hospitals adhering to certain treatment strategies. Results Provider profiles were available from 66 centers in 20 different countries in Europe and Israel. Correlations within most of the predefined domains varied from low to high correlations (mean correlation coefficients 0.2–0.7). Correlations between domains were lower, with mean correlation coefficients of 0.2. Cluster analysis showed that policies could be grouped, but hospitals could not be grouped based on their preference. Conclusions Although correlations between treatment policies within domains were found, the failure to cluster hospitals indicates that a specific treatment choice within a domain is not a proxy for other treatment choices within or outside the domain. These results imply that studying the effects of specific TBI interventions on outcome can be based on between-center variation without being substantially confounded by other treatments. Trial registration We do not report the results of a health care intervention. Supplementary Information The online version contains supplementary material available at 10.1007/s12028-021-01386-y.
Collapse
|
21
|
Pischiutta F, Caruso E, Lugo A, Cavaleiro H, Stocchetti N, Citerio G, Salgado A, Gallus S, Zanier ER. Systematic review and meta-analysis of preclinical studies testing mesenchymal stromal cells for traumatic brain injury. NPJ Regen Med 2021; 6:71. [PMID: 34716332 PMCID: PMC8556393 DOI: 10.1038/s41536-021-00182-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 09/30/2021] [Indexed: 12/13/2022] Open
Abstract
Mesenchymal stromal cells (MSCs) are widely used in preclinical models of traumatic brain injury (TBI). Results are promising in terms of neurological improvement but are hampered by wide variability in treatment responses. We made a systematic review and meta-analysis: (1) to assess the quality of evidence for MSC treatment in TBI rodent models; (2) to determine the effect size of MSCs on sensorimotor function, cognitive function, and anatomical damage; (3) to identify MSC-related and protocol-related variables associated with greater efficacy; (4) to understand whether MSC manipulations boost therapeutic efficacy. The meta-analysis included 80 studies. After TBI, MSCs improved sensorimotor and cognitive deficits and reduced anatomical damage. Stratified meta-analysis on sensorimotor outcome showed similar efficacy for different MSC sources and for syngeneic or xenogenic transplants. Efficacy was greater when MSCs were delivered in the first-week post-injury, and when implanted directly into the lesion cavity. The greatest effect size was for cells embedded in matrices or for MSC-derivatives. MSC therapy is effective in preclinical TBI models, improving sensorimotor, cognitive, and anatomical outcomes, with large effect sizes. These findings support clinical studies in TBI.
Collapse
Affiliation(s)
- Francesca Pischiutta
- Laboratory of Acute Brain Injury and Therapeutic Strategies, Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Enrico Caruso
- Laboratory of Acute Brain Injury and Therapeutic Strategies, Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.,Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Alessandra Lugo
- Laboratory of Lifestyle Epidemiology, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Helena Cavaleiro
- Laboratory of Acute Brain Injury and Therapeutic Strategies, Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.,Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal.,Stemmatters, Biotechnology and Regenerative Medicine, Guimarães, Portugal
| | - Nino Stocchetti
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy.,Department of Pathophysiology and Transplants, University of Milan, Milan, Italy
| | - Giuseppe Citerio
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - António Salgado
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Silvano Gallus
- Laboratory of Lifestyle Epidemiology, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Elisa R Zanier
- Laboratory of Acute Brain Injury and Therapeutic Strategies, Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
| |
Collapse
|
22
|
Wiegers EJA, Trapani T, Gabbe BJ, Gantner D, Lecky F, Maas AIR, Menon DK, Murray L, Rosenfeld JV, Vallance S, Lingsma HF, Steyerberg EW, Cooper DJ. Characteristics, management and outcomes of patients with severe traumatic brain injury in Victoria, Australia compared to United Kingdom and Europe: A comparison between two harmonised prospective cohort studies. Injury 2021; 52:2576-2587. [PMID: 33910683 DOI: 10.1016/j.injury.2021.04.033] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/18/2021] [Accepted: 04/07/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVE The aim of this manuscript is to compare characteristics, management, and outcomes of patients with severe Traumatic Brain Injury (TBI) between Australia, the United Kingdom (UK) and Europe. METHODS We enrolled patients with severe TBI in Victoria, Australia (OzENTER-TBI), in the UK and Europe (CENTER-TBI) from 2015 to 2017. Main outcome measures were mortality and unfavourable outcome (Glasgow Outcome Scale Extended <5) 6 months after injury. Expected outcomes were compared according to the IMPACT-CT prognostic model, with observed to expected (O/E) ratios and 95% confidence intervals. RESULTS We included 107 patients from Australia, 171 from UK, and 596 from Europe. Compared to the UK and Europe, patients in Australia were younger (median 32 vs 44 vs 44 years), a larger proportion had secondary brain insults including hypotension (30% vs 17% vs 21%) and a larger proportion received ICP monitoring (75% vs 74% vs 58%). Hospital length of stay was shorter in Australia than in the UK (median: 17 vs 23 vs 16 days), and a higher proportion of patients were discharged to a rehabilitation unit in Australia than in the UK and Europe (64% vs 26% vs 28%). Mortality overall was lower than expected (27% vs 35%, O/E ratio 0.77 [95% CI: 0.64 - 0.87]. O/E ratios were comparable between regions for mortality in Australia 0.86 [95% CI: 0.49-1.23] vs UK 0.82 [0.51-1.15] vs Europe 0.76 [0.60-0.87]). Unfavourable outcome rates overall were in line with historic expectations (O/E ratio 1.32 [0.96-1.68] vs 1.13 [0.84-1.42] vs 0.96 [0.85-1.09]). CONCLUSIONS There are major differences in case-mix between Australia, UK, and Europe; Australian patients are younger and have a higher rate of secondary brain insults. Despite some differences in management and discharge policies, mortality was less than expected overall, and did not differ between regions. Functional outcomes were similar between regions, but worse than expected, emphasizing the need to improve treatment for patients with severe TBI.
Collapse
Affiliation(s)
- Eveline J A Wiegers
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, the Netherlands; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | - Tony Trapani
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Belinda J Gabbe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Health Data Research UK, Swansea University, United Kingdom
| | - Dashiell Gantner
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Intensive Care Department, Alfred Hospital, Melbourne, Australia
| | - Fiona Lecky
- Centre for Urgent and Emergency Care Research, Health Services Research Section, School of Health and Related Research, University of Sheffield, Sheffield, UK; Emergency Department, Salford Royal Hospital, Salford, UK
| | - Andrew I R Maas
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - David K Menon
- Division of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Lynnette Murray
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jeffrey V Rosenfeld
- Department of Neurosurgery, Alfred Hospital, Melbourne, Australia; Department of Surgery, Monash University, Melbourne, Australia
| | - Shirley Vallance
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Hester F Lingsma
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Ewout W Steyerberg
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - D James Cooper
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Intensive Care Department, Alfred Hospital, Melbourne, Australia
| | | |
Collapse
|
23
|
Occurrence and timing of withdrawal of life-sustaining measures in traumatic brain injury patients: a CENTER-TBI study. Intensive Care Med 2021; 47:1115-1129. [PMID: 34351445 PMCID: PMC8486724 DOI: 10.1007/s00134-021-06484-1] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 07/14/2021] [Indexed: 12/16/2022]
Abstract
Background In patients with severe brain injury, withdrawal of life-sustaining measures (WLSM) is common in intensive care units (ICU). WLSM constitutes a dilemma: instituting WLSM too early could result in death despite the possibility of an acceptable functional outcome, whereas delaying WLSM could unnecessarily burden patients, families, clinicians, and hospital resources. We aimed to describe the occurrence and timing of WLSM, and factors associated with timing of WLSM in European ICUs in patients with traumatic brain injury (TBI). Methods The CENTER-TBI Study is a prospective multi-center cohort study. For the current study, patients with traumatic brain injury (TBI) admitted to the ICU and aged 16 or older were included. Occurrence and timing of WLSM were documented. For the analyses, we dichotomized timing of WLSM in early (< 72 h after injury) versus later (≥ 72 h after injury) based on recent guideline recommendations. We assessed factors associated with initiating WLSM early versus later, including geographic region, center, patient, injury, and treatment characteristics with univariable and multivariable (mixed effects) logistic regression. Results A total of 2022 patients aged 16 or older were admitted to the ICU. ICU mortality was 13% (n = 267). Of these, 229 (86%) patients died after WLSM, and were included in the analyses. The occurrence of WLSM varied between regions ranging from 0% in Eastern Europe to 96% in Northern Europe. In 51% of the patients, WLSM was early. Patients in the early WLSM group had a lower maximum therapy intensity level (TIL) score than patients in the later WLSM group (median of 5 versus 10) The strongest independent variables associated with early WLSM were one unreactive pupil (odds ratio (OR) 4.0, 95% confidence interval (CI) 1.3–12.4) or two unreactive pupils (OR 5.8, CI 2.6–13.1) compared to two reactive pupils, and an Injury Severity Score (ISS) if over 41 (OR per point above 41 = 1.1, CI 1.0–1.1). Timing of WLSM was not significantly associated with region or center. Conclusion WLSM occurs early in half of the patients, mostly in patients with severe TBI affecting brainstem reflexes who were severely injured. We found no regional or center influences in timing of WLSM. Whether WLSM is always appropriate or may contribute to a self-fulfilling prophecy requires further research and argues for reluctance to institute WLSM early in case of any doubt on prognosis. Supplementary Information The online version contains supplementary material available at 10.1007/s00134-021-06484-1.
Collapse
|
24
|
Robba C, Iannuzzi F, Taccone FS. Tier-three therapies for refractory intracranial hypertension in adult head trauma. Minerva Anestesiol 2021; 87:1359-1366. [PMID: 34337922 DOI: 10.23736/s0375-9393.21.15827-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Refractory intracranial hypertension after traumatic brain injury (TBI) is defined as recurrent increase of intracranial pressure (ICP) above 20-22 mmHg for sustained period of time (10-15 min), despite conventional therapies, such as osmotic therapy, cerebral spinal fluid drainage and mild hyperventilation. As such, more aggressive treatments should be taken into consideration. In particular, therapeutic hypothermia, barbiturates administration and decompressive craniectomy are considered as tier-three or "salvage" interventions, as they have shown to be able to control refractory hypertension, but are also associated with an increased risk of significant side effects. The aim of this review is therefore to describe the evidence supporting the use of these tier-three therapies in the management of refractory intracranial hypertension in TBI patients.
Collapse
Affiliation(s)
- Chiara Robba
- Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy - .,San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy -
| | - Francesca Iannuzzi
- Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy
| | - Fabio S Taccone
- Department of Intensive Care Medicine, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
| |
Collapse
|
25
|
Citerio G, Robba C, Rebora P, Petrosino M, Rossi E, Malgeri L, Stocchetti N, Galimberti S, Menon DK. Management of arterial partial pressure of carbon dioxide in the first week after traumatic brain injury: results from the CENTER-TBI study. Intensive Care Med 2021; 47:961-973. [PMID: 34302517 PMCID: PMC8308080 DOI: 10.1007/s00134-021-06470-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 06/26/2021] [Indexed: 11/24/2022]
Abstract
Purpose To describe the management of arterial partial pressure of carbon dioxide (PaCO2) in severe traumatic brain-injured (TBI) patients, and the optimal target of PaCO2 in patients with high intracranial pressure (ICP). Methods Secondary analysis of CENTER-TBI, a multicentre, prospective, observational, cohort study. The primary aim was to describe current practice in PaCO2 management during the first week of intensive care unit (ICU) after TBI, focusing on the lowest PaCO2 values. We also assessed PaCO2 management in patients with and without ICP monitoring (ICPm), and with and without intracranial hypertension. We evaluated the effect of profound hyperventilation (defined as PaCO2 < 30 mmHg) on long-term outcome. Results We included 1100 patients, with a total of 11,791 measurements of PaCO2 (5931 lowest and 5860 highest daily values). The mean (± SD) PaCO2 was 38.9 (± 5.2) mmHg, and the mean minimum PaCO2 was 35.2 (± 5.3) mmHg. Mean daily minimum PaCO2 values were significantly lower in the ICPm group (34.5 vs 36.7 mmHg, p < 0.001). Daily PaCO2 nadir was lower in patients with intracranial hypertension (33.8 vs 35.7 mmHg, p < 0.001). Considerable heterogeneity was observed between centers. Management in a centre using profound hyperventilation (HV) more frequently was not associated with increased 6 months mortality (OR = 1.06, 95% CI = 0.77–1.45, p value = 0.7166), or unfavourable neurological outcome (OR 1.12, 95% CI = 0.90–1.38, p value = 0.3138). Conclusions Ventilation is manipulated differently among centers and in response to intracranial dynamics. PaCO2 tends to be lower in patients with ICP monitoring, especially if ICP is increased. Being in a centre which more frequently uses profound hyperventilation does not affect patient outcomes. Supplementary Information The online version contains supplementary material available at 10.1007/s00134-021-06470-7.
Collapse
Affiliation(s)
- Giuseppe Citerio
- School of Medicine and Surgery, University of Milano - Bicocca, Monza, Italy. .,Neurointensive Care Unit, Ospedale San Gerardo, Azienda Socio-Sanitaria Territoriale Di Monza, Monza, Italy.
| | - Chiara Robba
- Anesthesia and Intensive Care, Policlinico San Martino, IRCCS for Oncology and Neuroscience, Genoa, Italy.,Department of Surgical Science and Integrated Diagnostic, University of Genoa, Genoa, Italy
| | - Paola Rebora
- School of Medicine and Surgery, University of Milano - Bicocca, Monza, Italy.,Bicocca Bioinformatics Biostatistics and Bioimaging Center B4, School of Medicine and Surgery, University of Milano - Bicocca, Milan, Italy
| | - Matteo Petrosino
- Bicocca Bioinformatics Biostatistics and Bioimaging Center B4, School of Medicine and Surgery, University of Milano - Bicocca, Milan, Italy
| | - Eleonora Rossi
- Department of Clinical-Surgical, Diagnostic and Paediatric Sciences, Unit of Anaesthesia and Intensive Care, University of Pavia, Pavia, Italy
| | - Letterio Malgeri
- Anesthesia and Intensive Care, School of Medicine, Messina, Italy
| | - Nino Stocchetti
- Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy.,Department of Physiopathology and Transplantation, Milan University, Milan, Italy
| | - Stefania Galimberti
- School of Medicine and Surgery, University of Milano - Bicocca, Monza, Italy.,Bicocca Bioinformatics Biostatistics and Bioimaging Center B4, School of Medicine and Surgery, University of Milano - Bicocca, Milan, Italy
| | - David K Menon
- Neurocritical Care Unit, Addenbrooke's Hospital, Cambridge, UK
| | | |
Collapse
|
26
|
Robba C, Graziano F, Rebora P, Elli F, Giussani C, Oddo M, Meyfroidt G, Helbok R, Taccone FS, Prisco L, Vincent JL, Suarez JI, Stocchetti N, Citerio G. Intracranial pressure monitoring in patients with acute brain injury in the intensive care unit (SYNAPSE-ICU): an international, prospective observational cohort study. Lancet Neurol 2021; 20:548-558. [PMID: 34146513 DOI: 10.1016/s1474-4422(21)00138-1] [Citation(s) in RCA: 107] [Impact Index Per Article: 35.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 04/27/2021] [Accepted: 04/27/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND The indications for intracranial pressure (ICP) monitoring in patients with acute brain injury and the effects of ICP on patients' outcomes are uncertain. The aims of this study were to describe current ICP monitoring practises for patients with acute brain injury at centres around the world and to assess variations in indications for ICP monitoring and interventions, and their association with long-term patient outcomes. METHODS We did a prospective, observational cohort study at 146 intensive care units (ICUs) in 42 countries. We assessed for eligibility all patients aged 18 years or older who were admitted to the ICU with either acute brain injury due to primary haemorrhagic stroke (including intracranial haemorrhage or subarachnoid haemorrhage) or traumatic brain injury. We included patients with altered levels of consciousness at ICU admission or within the first 48 h after the brain injury, as defined by the Glasgow Coma Scale (GCS) eye response score of 1 (no eye opening) and a GCS motor response score of at least 5 (not obeying commands). Patients not admitted to the ICU or with other forms of acute brain injury were excluded from the study. Between-centre differences in use of ICP monitoring were quantified by using the median odds ratio (MOR). We used the therapy intensity level (TIL) to quantify practice variations in ICP interventions. Primary endpoints were 6 month mortality and 6 month Glasgow Outcome Scale Extended (GOSE) score. A propensity score method with inverse probability of treatment weighting was used to estimate the association between use of ICP monitoring and these 6 month outcomes, independently of measured baseline covariates. This study is registered with ClinicalTrial.gov, NCT03257904. FINDINGS Between March 15, 2018, and April 30, 2019, 4776 patients were assessed for eligibility and 2395 patients were included in the study, including 1287 (54%) with traumatic brain injury, 587 (25%) with intracranial haemorrhage, and 521 (22%) with subarachnoid haemorrhage. The median age of patients was 55 years (IQR 39-69) and 1567 (65%) patients were male. Considerable variability was recorded in the use of ICP monitoring across centres (MOR 4·5, 95% CI 3·8-4·9 between two randomly selected centres for patients with similar covariates). 6 month mortality was lower in patients who had ICP monitoring (441/1318 [34%]) than in those who were not monitored (517/1049 [49%]; p<0·0001). ICP monitoring was associated with significantly lower 6 month mortality in patients with at least one unreactive pupil (hazard ratio [HR] 0·35, 95% CI 0·26-0·47; p<0·0001), and better neurological outcome at 6 months (odds ratio 0·38, 95% CI 0·26-0·56; p=0·0025). Median TIL was higher in patients with ICP monitoring (9 [IQR 7-12]) than in those who were not monitored (5 [3-8]; p<0·0001) and an increment of one point in TIL was associated with a reduction in mortality (HR 0·94, 95% CI 0·91-0·98; p=0·0011). INTERPRETATION The use of ICP monitoring and ICP management varies greatly across centres and countries. The use of ICP monitoring might be associated with a more intensive therapeutic approach and with lower 6-month mortality in more severe cases. Intracranial hypertension treatment guided by monitoring might be considered in severe cases due to the potential associated improvement in long-term clinical results. FUNDING University of Milano-Bicocca and the European Society of Intensive Care Medicine.
Collapse
Affiliation(s)
- Chiara Robba
- Anesthesia and Intensive Care, Policlinico San Martino, IRCCS for Oncology and Neuroscience, Genoa, Italy; Department of Surgical Science and Integrated Diagnostic, University of Genoa, Genoa, Italy
| | - Francesca Graziano
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Bicocca Bioinformatics Biostatistics and Bioimaging Center B4, School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Paola Rebora
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Bicocca Bioinformatics Biostatistics and Bioimaging Center B4, School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Francesca Elli
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Carlo Giussani
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Neurosurgery, Ospedale San Gerardo, Azienda Socio-Sanitaria Territoriale di Monza, Monza, Italy
| | - Mauro Oddo
- Department of Intensive Care Medicine, CHUV-Lausanne University Hospital, Lausanne, Switzerland
| | - Geert Meyfroidt
- Department of Intensive Care Medicine, University Hospitals, Leuven, Belgium
| | - Raimund Helbok
- Department of Neurology, Neurocritical Care Unit, Medical University of Innsbruck, Innsbruck, Austria
| | - Fabio S Taccone
- Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Lara Prisco
- Nuffield Department of Clinical Neurosciences, Oxford University Hospitals Trust, Oxford, UK
| | - Jean-Louis Vincent
- Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Jose I Suarez
- Division of Neurosciences Critical Care, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nino Stocchetti
- Department of Physiopathology and Transplant, Università degli Studi di Milano, Milan, Italy; Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Citerio
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Neurointensive Care Unit, Ospedale San Gerardo, Azienda Socio-Sanitaria Territoriale di Monza, Monza, Italy.
| | | |
Collapse
|
27
|
Claassen J, Akbari Y, Alexander S, Bader MK, Bell K, Bleck TP, Boly M, Brown J, Chou SHY, Diringer MN, Edlow BL, Foreman B, Giacino JT, Gosseries O, Green T, Greer DM, Hanley DF, Hartings JA, Helbok R, Hemphill JC, Hinson HE, Hirsch K, Human T, James ML, Ko N, Kondziella D, Livesay S, Madden LK, Mainali S, Mayer SA, McCredie V, McNett MM, Meyfroidt G, Monti MM, Muehlschlegel S, Murthy S, Nyquist P, Olson DM, Provencio JJ, Rosenthal E, Sampaio Silva G, Sarasso S, Schiff ND, Sharshar T, Shutter L, Stevens RD, Vespa P, Videtta W, Wagner A, Ziai W, Whyte J, Zink E, Suarez JI. Proceedings of the First Curing Coma Campaign NIH Symposium: Challenging the Future of Research for Coma and Disorders of Consciousness. Neurocrit Care 2021; 35:4-23. [PMID: 34236619 PMCID: PMC8264966 DOI: 10.1007/s12028-021-01260-x] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 04/15/2021] [Indexed: 01/04/2023]
Abstract
Coma and disorders of consciousness (DoC) are highly prevalent and constitute a burden for patients, families, and society worldwide. As part of the Curing Coma Campaign, the Neurocritical Care Society partnered with the National Institutes of Health to organize a symposium bringing together experts from all over the world to develop research targets for DoC. The conference was structured along six domains: (1) defining endotype/phenotypes, (2) biomarkers, (3) proof-of-concept clinical trials, (4) neuroprognostication, (5) long-term recovery, and (6) large datasets. This proceedings paper presents actionable research targets based on the presentations and discussions that occurred at the conference. We summarize the background, main research gaps, overall goals, the panel discussion of the approach, limitations and challenges, and deliverables that were identified.
Collapse
Affiliation(s)
- Jan Claassen
- Department of Neurology, Columbia University and New York-Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York City, NY, 10032, USA.
| | - Yama Akbari
- Departments of Neurology, Neurological Surgery, and Anatomy & Neurobiology and Beckman Laser Institute and Medical Clinic, University of California, Irvine, Irvine, CA, USA
| | - Sheila Alexander
- Acute and Tertiary Care, School of Nursing and Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Kathleen Bell
- Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Thomas P Bleck
- Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Melanie Boly
- Department of Neurology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Jeremy Brown
- Office of Emergency Care Research, Division of Clinical Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Sherry H-Y Chou
- Departments of Critical Care Medicine, Neurology, and Neurosurgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Michael N Diringer
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Brian L Edlow
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Harvard University, Boston, MA, USA
| | - Brandon Foreman
- Departments of Neurology and Rehabilitation Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Harvard University, Boston, MA, USA
| | - Olivia Gosseries
- GIGA Consciousness After Coma Science Group, University of Liege, Liege, Belgium
| | - Theresa Green
- School of Nursing, Queensland University of Technology, Kelvin Grove, QLD, Australia
| | - David M Greer
- Department of Neurology, School of Medicine, Boston University, Boston, MA, USA
| | - Daniel F Hanley
- Division of Brain Injury Outcomes, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Jed A Hartings
- Department of Neurosurgery, College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Raimund Helbok
- Neurocritical Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - J Claude Hemphill
- Department of Neurology, Weill Institute for Neurosciences, School of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - H E Hinson
- Department of Neurology, School of Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Karen Hirsch
- Department of Neurology, Stanford University, Palo Alto, CA, USA
| | - Theresa Human
- Department of Pharmacy, Barnes Jewish Hospital, St. Louis, MO, USA
| | - Michael L James
- Departments of Anesthesiology and Neurology, Duke University, Durham, NC, USA
| | - Nerissa Ko
- Department of Neurology, Weill Institute for Neurosciences, School of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel Kondziella
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Sarah Livesay
- College of Nursing, Rush University, Chicago, IL, USA
| | - Lori K Madden
- Center for Nursing Science, University of California, Davis, Sacramento, CA, USA
| | - Shraddha Mainali
- Department of Neurology, The Ohio State University, Columbus, OH, USA
| | - Stephan A Mayer
- Department of Neurology, New York Medical College, Valhalla, NY, USA
| | - Victoria McCredie
- Interdepartmental Division of Critical Care, Department of Respirology, University of Toronto, Toronto, ON, Canada
| | - Molly M McNett
- College of Nursing, The Ohio State University, Columbus, OH, USA
| | - Geert Meyfroidt
- Department of Intensive Care Medicine, University Hospitals Leuven and University of Leuven, Leuven, Belgium
| | - Martin M Monti
- Departments of Neurosurgery and Psychology, Brain Injury Research Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Susanne Muehlschlegel
- Departments of Neurology, Anesthesiology/Critical Care, and Surgery, Medical School, University of Massachusetts, Worcester, MA, USA
| | - Santosh Murthy
- Department of Neurology, Weill Cornell Medical College, New York City, NY, USA
| | - Paul Nyquist
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - DaiWai M Olson
- Departments of Neurology and Neurosurgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - J Javier Provencio
- Departments of Neurology and Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Eric Rosenthal
- Department of Neurology, Harvard Medical School, Harvard University, Boston, MA, USA
| | - Gisele Sampaio Silva
- Department of Neurology, Albert Einstein Israelite Hospital and Universidade Federal de São Paulo, São Paulo, Brazil
| | - Simone Sarasso
- Department of Biomedical and Clinical Sciences "L. Sacco", Università degli Studi di Milano, Milan, Italy
| | - Nicholas D Schiff
- Department of Neurology and Brain Mind Research Institute, Weill Cornell Medicine, Cornell University, New York City, NY, USA
| | - Tarek Sharshar
- Department of Intensive Care, Paris Descartes University, Paris, France
| | - Lori Shutter
- Departments of Critical Care Medicine, Neurology, and Neurosurgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Robert D Stevens
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Paul Vespa
- Departments of Neurosurgery and Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Walter Videtta
- National Hospital Alejandro Posadas, Buenos Aires, Argentina
| | - Amy Wagner
- Department of Physical Medicine and Rehabilitation, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Wendy Ziai
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - John Whyte
- Moss Rehabilitation Research Institute, Elkins Park, PA, USA
| | - Elizabeth Zink
- Division of Neurosciences Critical Care, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Jose I Suarez
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| |
Collapse
|
28
|
Gao G, Wu X, Feng J, Hui J, Mao Q, Lecky F, Lingsma H, Maas AIR, Jiang J. Clinical characteristics and outcomes in patients with traumatic brain injury in China: a prospective, multicentre, longitudinal, observational study. Lancet Neurol 2020; 19:670-677. [PMID: 32702336 DOI: 10.1016/s1474-4422(20)30182-4] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 05/02/2020] [Accepted: 05/04/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND Large-scale studies are required to better characterise traumatic brain injury (TBI) and to identify the most effective treatment approaches for TBI. However, evidence is scarce and mostly originates from high-income countries. We aimed to describe the existing care for patients with TBI and the outcomes in China. METHODS The Collaborative European NeuroTrauma Effectiveness Research in TBI (CENTER-TBI) China registry is a prospective, multicentre, longitudinal, observational study done in 56 neurosurgical centres across China. We collected data of patients who were admitted to hospital with a clinical diagnosis of TBI and an indication for CT. Patients who were discharged directly from the emergency room were excluded. The primary endpoint was survival on discharge. Prognostic analyses were applied to identify predictors of mortality. Variations in mortality were compared between centres and provinces within China. Mortality was compared with expected mortality, estimated using the CRASH basic model. This study was registered with ClinicalTrials.gov, NCT02210221. FINDINGS From Dec 22, 2014, to Aug 1, 2017, 13 627 patients with TBI from 56 centres were enrolled in the registry. Data from 13 138 patients from 52 hospitals in 22 provinces of China were analysed. Most patients were male (9782 [74%]), with a median age of 48 years (IQR 33-61). The median Glasgow Coma Scale (GCS) score was 13 (IQR 9-15), and the leading cause of injury was road-traffic incident (6548 [50%]). Overall, 637 (5%) patients died, including 552 (20%) patients with severe TBI. Age, GCS score, injury severity score, pupillary light reflex, CT findings (compressed basal cistern and midline shift ≥5 mm), presence of hypoxia, systemic hypotension, altitude higher than >500 m, and GDP per capita were significantly associated with survival in all patients with TBI. Variation in mortality existed between centres and regions. The expected 14-day mortality was 1116 (13%), but 544 (7%) deaths within 14 days were observed (observed to expected ratio 0·49 [95% CI 0·45-0·53]). INTERPRETATION The results show differences in mortality between centres and regions across China, which indicates potential for identifying best practices through comparative effectiveness research. The risk factors identified in prognostic analyses might contribute to developing benchmarks for assessing quality of care. FUNDING None.
Collapse
Affiliation(s)
- Guoyi Gao
- Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Head Trauma, Shanghai, China
| | - Xiang Wu
- Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Head Trauma, Shanghai, China
| | - Junfeng Feng
- Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Head Trauma, Shanghai, China
| | - Jiyuan Hui
- Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Head Trauma, Shanghai, China
| | - Qing Mao
- Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Head Trauma, Shanghai, China
| | - Fiona Lecky
- Centre for Urgent and Emergency Care Research, Health Services Research Section, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Hester Lingsma
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Andrew I R Maas
- Department of Neurosurgery, Antwerp University Hospital, Edegem, Belgium; University of Antwerp, Edegem, Belgium
| | - Jiyao Jiang
- Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Head Trauma, Shanghai, China; Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Department of Neurosurgery, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
| |
Collapse
|
29
|
Tverdal C, Aarhus M, Andelic N, Skaansar O, Skogen K, Helseth E. Characteristics of traumatic brain injury patients with abnormal neuroimaging in Southeast Norway. Inj Epidemiol 2020; 7:45. [PMID: 32867838 PMCID: PMC7461333 DOI: 10.1186/s40621-020-00269-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 06/19/2020] [Indexed: 12/18/2022] Open
Abstract
Background The vast majority of hospital admitted patients with traumatic brain injury (TBI) will have intracranial injury identified by neuroimaging, requiring qualified staff and hospital beds. Moreover, increased pressure in health care services is expected because of an aging population. Thus, a regular evaluation of characteristics of hospital admitted patients with TBI is needed. Oslo TBI Registry – Neurosurgery prospectively register all patients with TBI identified by neuroimaging admitted to a trauma center for southeast part of Norway. The purpose of this study is to describe this patient population with respect to case load, time of admission, age, comorbidity, injury mechanism, injury characteristics, length of stay, and 30-days survival. Methods Data for 5 years was extracted from Oslo TBI Registry – Neurosurgery. Case load, time of admission, age, sex, comorbidity, injury mechanism, injury characteristics, length of stay, and 30-days survival was compiled and compared. Results From January 1st, 2015 to December 31st, 2019, 2153 consecutive patients with TBI identified by neuroimaging were registered. The admission rate of TBI of all severities has been stable year-round since 2015. Mean age was 52 years (standard deviation 25, range 0–99), and 68% were males. Comorbidities were common; 28% with pre-injury ASA score of ≥3 and 25% used antithrombotic medication. The dominating cause of injury in all ages was falls (55%) but increased with age. Upon admission, the head injury was classified as mild TBI in 46%, moderate in 28%, and severe (Glasgow coma score ≤ 8) in 26%. Case load was stable without seasonal variation. Majority of patients (68%) were admitted during evening, night or weekend. 68% was admitted to intensive care unit. Length of hospital stay was 4 days (median, interquartile range 3–9). 30-day survival for mild, moderate and severe TBI was 98, 94 and 69%, respectively. Conclusions The typical TBI patients admitted to hospital with abnormal neuroimaging were aged 50–79 years, often with significant comorbidity, and admitted outside ordinary working hours. This suggests the necessity for all-hour presence of competent health care professionals.
Collapse
Affiliation(s)
- Cathrine Tverdal
- Department of Neurosurgery, Ullevål Hospital, Oslo University Hospital, P. O. Box 4956 Nydalen, N-0424, Oslo, Norway. .,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
| | - Mads Aarhus
- Department of Neurosurgery, Ullevål Hospital, Oslo University Hospital, P. O. Box 4956 Nydalen, N-0424, Oslo, Norway
| | - Nada Andelic
- Department of Physical Medicine and Rehabilitation, Oslo University Hospital, Oslo, Norway.,Institute of Health and Society, Research Centre for Habilitation and Rehabilitation Models and Services (CHARM), Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Ola Skaansar
- Department of Neurosurgery, Ullevål Hospital, Oslo University Hospital, P. O. Box 4956 Nydalen, N-0424, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Karoline Skogen
- Department of Neuroradiology, Oslo University Hospital, Oslo, Norway
| | - Eirik Helseth
- Department of Neurosurgery, Ullevål Hospital, Oslo University Hospital, P. O. Box 4956 Nydalen, N-0424, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| |
Collapse
|