1
|
Robba C, Picetti E, Vásquez-García S, Abulhasan YB, Ain A, Adeleye AO, Aries M, Brasil S, Badenes R, Bertuccio A, Bouzat P, Bustamante L, Calabro' L, Njimi H, Cardim D, Citerio G, Czosnyka M, Geeraerts T, Godoy DA, Hirzallah MI, Devi BI, Jibaja M, Lochner P, Mijangos Méndez JC, Meyfroidt G, Munusamy T, Portilla JP, Prabhakar H, Rasulo F, Sánchez Parra DM, Sarwal A, Shrestha GS, Shukla DP, Sung G, Tirsit A, Vásquez F, Videtta W, Wang YL, Paiva WS, Taccone FS, Rubiano AM. The Brussels consensus for non-invasive ICP monitoring when invasive systems are not available in the care of TBI patients (the B-ICONIC consensus, recommendations, and management algorithm). Intensive Care Med 2025; 51:4-20. [PMID: 39847066 DOI: 10.1007/s00134-024-07756-2] [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: 10/22/2024] [Accepted: 12/04/2024] [Indexed: 01/24/2025]
Abstract
BACKGROUND Invasive systems are commonly used for monitoring intracranial pressure (ICP) in traumatic brain injury (TBI) and are considered the gold standard. The availability of invasive ICP monitoring is heterogeneous, and in low- and middle-income settings, these systems are not routinely employed due to high cost or limited accessibility. The aim of this consensus was to develop recommendations to guide monitoring and ICP-driven therapies in TBI using non-invasive ICP (nICP) systems. METHODS A panel of 41 experts, that regularly use nICP systems for guiding TBI care, was established. Three scoping and four systematic reviews with meta-analysis were performed summarizing the current global-literature evidence. A modified Delphi method was applied for the development of recommendations. An in-person meeting with group discussions and voting was conducted. Strong recommendations were defined for an agreement of at least 85%. Weak recommendations were defined for an agreement of 75-85%. RESULTS A total of 34 recommendations were provided (32 Strong, 2 Weak) divided into three domains: general consideration for nICP use, management of ICP using nICP methods and thresholds of nICP tools for escalating/de-escalating treatment. We developed four clinical algorithms for escalating treatment and heatmaps for de-escalating treatment. CONCLUSIONS Using a mixed-method approach involving literature review and an in-person consensus by experts, a set of recommendations designed to assist clinicians managing TBI patients using nICP systems plus clinical assessment, in the presence or absence of brain imaging, were built. Further clinical studies are required to validate the potential use of these recommendations in the daily clinical practice.
Collapse
Affiliation(s)
- Chiara Robba
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
- Department of Surgical Science and Integrated Diagnostic, University of Genova, Genoa, Italy.
- Anesthesia and Intensive Care, IRCCS for Oncology and Neuroscience, Policlinico San Martino, Genoa, Italy.
| | - Edoardo Picetti
- Department of Anesthesia and Intensive Care, Parma University Hospital, Parma, Italy
| | - Sebastián Vásquez-García
- Neurosciences and Intensive Care Department, Clínica del Country, Bogotá, Colombia
- Universidad del Rosario, Bogotá, Colombia
- MEDITECH Foundation, Cali, Colombia
| | - Yasser B Abulhasan
- Faculty of Medicine, Health Sciences Center, Kuwait University, Kuwait City, Kuwait
| | - Amelia Ain
- Department of Anesthesiology and Intensive Care, Hospital Sultan Abdul Halim, Kedah, Malaysia
| | - Amos O Adeleye
- Division of Neurological Surgery, Department of Surgery, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Neurological Surgery, University College Hospital, Ibadan, Nigeria
| | - Marcel Aries
- Department of Intensive Care Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Mental Health and Neuroscience Research Institute, University Maastricht, Maastricht, The Netherlands
| | - Sérgio Brasil
- Department of Neurology, University of São Paulo, São Paulo, Brazil
| | - Rafael Badenes
- Department of Surgery, University of Valencia, Valencia, Spain
- Department Anesthesiology and Surgical-Trauma Intensive Care, University Clinic Hospital, Valencia, Spain
| | - Alessandro Bertuccio
- Department of Neurosurgery, St. Antonio and Biagio and Cesare Arrigo Hospital, Neurosurgery Unit, Alessandria, Italy
| | - Pierre Bouzat
- Centre Hospitalier Universitaire Grenoble Alpes, Grenoble Institut des Neurosciences, Pôle Anesthésie Réanimation, Grenoble Alpes University, Grenoble, France
| | | | - Lorenzo Calabro'
- Department of Intensive Care, Hospital Erasme, Universitè Libre De Bruxelles, Brussels, Belgium
| | - Hassane Njimi
- Department of Intensive Care, Hospital Erasme, Universitè Libre De Bruxelles, Brussels, Belgium
| | - Danilo Cardim
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, USA
| | - Giuseppe Citerio
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Marek Czosnyka
- Division of Neurosurgery, Department of Clinical Neurosciences, Brain Physics Laboratory, University of Cambridge, Cambridge, UK
| | - Thomas Geeraerts
- Pôle Anesthésie-Réanimation, Inserm, UMR 1214, Toulouse Neuroimaging Center, ToNIC, Université Toulouse 3-Paul Sabatier, CHU de Toulouse, 31059, Toulouse, France
| | - Daniel A Godoy
- Departamento Medicina Critica, Unidad de Cuidados Neurointensivos, Sanatorio Pasteur, Catamarca, Argentina
| | | | - Bhagavatula Indira Devi
- Department of Neurosurgery, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Manuel Jibaja
- Hospital Eugenio Espejo and Escuela de Medicina de la Universidad San Francisco de Quito, Quito, Ecuador
| | - Piergiorgio Lochner
- Department of Neurology, Saarland University Medical Center, Homburg, Germany
| | - Julio C Mijangos Méndez
- Unidad de Terapia Intensiva, Hospital Civil Fray Antonio Alcalde, Universidad de Guadalajara, Coronel Calderón 777, El Retiro, Guadalajara, Jalisco, Mexico
| | - Geert Meyfroidt
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU, Louvain, Belgium
| | - Thangaraj Munusamy
- Department of Neurosurgery, Singapore General Hospital, Singapore, Singapore
| | | | - Hemanshu Prabhakar
- Department of Neuroanaesthesiology and Critical Care, All India Institute of Medical Sciences, New Delhi, India
| | - Frank Rasulo
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
- Department of Anesthesia, Critical Care and Emergency, Spedali Civili University Hospital, Brescia, Italy
| | | | - Aarti Sarwal
- Department of Neurology, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Gentle S Shrestha
- Department of Anesthesiology, Tribhuvan University Teaching Hospital, Maharajgunj, Kathmandu, Nepal
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Dhaval P Shukla
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Gene Sung
- University of Southern California, Los Angeles, USA
| | - Abenezer Tirsit
- Neurosurgery Division, Department of Surgery, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
- Global Health Research Group in Acquired Brain and Spine Injuries, Cambridge, UK
| | - Franly Vásquez
- Hospital Dr. Darío Contreras, Santo Domingo, República Dominicana
| | - Walter Videtta
- Hospital Nacional Professor Alejandro Posadas, Buenos Aires, Argentina
| | - Yu Lin Wang
- Neuro Intensive Care Unit, Tan Tock Seng Hospital, Singapore, Singapore
| | | | - Fabio Silvio Taccone
- Department of Intensive Care, Hospital Erasme, Universitè Libre De Bruxelles, Brussels, Belgium
| | - Andres M Rubiano
- Global Health Research Group in Acquired Brain and Spine Injuries, Cambridge, UK
- Neurosciences Institute, Universidad El Bosque, Bogota, Colombia
- MEDITECH Foundation, Cali, Colombia
| |
Collapse
|
2
|
Uparela-Reyes MJ, Ordoñez-Cure S, Moreno-Drada J, Villegas-Trujillo LM, Escobar-Vidarte OA. Diagnostic Accuracy of Optic Nerve Sheath Diameter Measurement by Ultrasonography for Noninvasive Estimation of Intracranial Hypertension in Traumatic Brain Injury: A Systematic Review and Meta-Analysis. Neurosurgery 2024:00006123-990000000-01432. [PMID: 39513703 DOI: 10.1227/neu.0000000000003273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Accepted: 10/02/2024] [Indexed: 11/15/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Intracranial hypertension (IH) is associated with an unfavorable outcome in traumatic brain injury (TBI), and management strategies guided by intracranial pressure monitoring improve prognosis. Owing to the limitations of using invasive devices, measurement of optic nerve sheath diameter (ONSD) by ultrasonography is an alternative noninvasive method. However, its accuracy has not been validated in patients with TBI, so we aim to determine the diagnostic accuracy of measuring ONSD by ultrasonography in patients with TBI to estimate IH, compared with invasive monitoring. METHODS Systematic review of electronic databases and manual literature review from inception to June 2023. The analysis included diagnostic accuracy studies of ultrasonographic measurement of ONSD compared with invasive monitoring published in any language and with patients of any age. A qualitative synthesis was performed describing the clinical and methodological characteristics, strengths, limitations, and quality of evidence. In addition, a bivariate random effects model meta-analysis and a hierarchical summary receiver operating characteristics model were performed for the pediatric and adult population separately. RESULTS Five hundred and forty eight patients of 688 in 16 eligible studies were adults and 120 were children. Pooled sensitivity and specificity of ONSD measurement by ultrasonography were 84% (95% CI, 76%-89%) and 83% (95% CI, 73%-90%), respectively. During the sensitivity analysis, these parameters exhibited consistent values. Pooled area under the curve was 0.91 for adults and 0.76 for children. Optimal threshold for estimating IH was 5.76 mm for adults and 5.78 mm for children. CONCLUSION Measurement of ONSD by ultrasonography is a reliable, low-cost, and safe alternative for the estimation of IH with TBI in adults. More robust studies are needed to overcome the high risk of bias and heterogeneity for this analysis.
Collapse
Affiliation(s)
- Maria José Uparela-Reyes
- Neurosurgery Section, School of Medicine, Universidad del Valle, Cali, Colombia
- Neurosurgery Department, Hospital Universitario del Valle, Cali, Colombia
| | - Sebastian Ordoñez-Cure
- Neurosurgery Section, School of Medicine, Universidad del Valle, Cali, Colombia
- Neurosurgery Department, Hospital Universitario del Valle, Cali, Colombia
| | - Johana Moreno-Drada
- Neurosurgery Section, School of Medicine, Universidad del Valle, Cali, Colombia
| | | | - Oscar Andrés Escobar-Vidarte
- Neurosurgery Section, School of Medicine, Universidad del Valle, Cali, Colombia
- Neurosurgery Department, Hospital Universitario del Valle, Cali, Colombia
| |
Collapse
|
3
|
Srichawla BS. Future of neurocritical care: Integrating neurophysics, multimodal monitoring, and machine learning. World J Crit Care Med 2024; 13:91397. [PMID: 38855276 PMCID: PMC11155497 DOI: 10.5492/wjccm.v13.i2.91397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 01/27/2024] [Accepted: 03/06/2024] [Indexed: 06/03/2024] Open
Abstract
Multimodal monitoring (MMM) in the intensive care unit (ICU) has become increasingly sophisticated with the integration of neurophysical principles. However, the challenge remains to select and interpret the most appropriate combination of neuromonitoring modalities to optimize patient outcomes. This manuscript reviewed current neuromonitoring tools, focusing on intracranial pressure, cerebral electrical activity, metabolism, and invasive and noninvasive autoregulation monitoring. In addition, the integration of advanced machine learning and data science tools within the ICU were discussed. Invasive monitoring includes analysis of intracranial pressure waveforms, jugular venous oximetry, monitoring of brain tissue oxygenation, thermal diffusion flowmetry, electrocorticography, depth electroencephalography, and cerebral microdialysis. Noninvasive measures include transcranial Doppler, tympanic membrane displacement, near-infrared spectroscopy, optic nerve sheath diameter, positron emission tomography, and systemic hemodynamic monitoring including heart rate variability analysis. The neurophysical basis and clinical relevance of each method within the ICU setting were examined. Machine learning algorithms have shown promise by helping to analyze and interpret data in real time from continuous MMM tools, helping clinicians make more accurate and timely decisions. These algorithms can integrate diverse data streams to generate predictive models for patient outcomes and optimize treatment strategies. MMM, grounded in neurophysics, offers a more nuanced understanding of cerebral physiology and disease in the ICU. Although each modality has its strengths and limitations, its integrated use, especially in combination with machine learning algorithms, can offer invaluable information for individualized patient care.
Collapse
Affiliation(s)
- Bahadar S Srichawla
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, United States
| |
Collapse
|
4
|
Dixon J, de Vries S, Fleischer C, Bhaumik S, Dymond C, Jones A, Ross M, Finn J, Geduld H, Steyn E, Lategan H, Hodsdon L, Verster J, Mukonkole S, Doubell K, Baidwan N, Mould-Millman NK. Preventable trauma deaths in the Western Cape of South Africa: A consensus-based panel review. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0003122. [PMID: 38728269 PMCID: PMC11086906 DOI: 10.1371/journal.pgph.0003122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 03/27/2024] [Indexed: 05/12/2024]
Abstract
Injury causes 4.4 million deaths worldwide annually. 90% of all injury-related deaths occur in low-and-middle income countries. Findings from expert-led trauma death reviews can inform strategies to reduce trauma deaths. A cohort of trauma decedents was identified from an on-going study in the Western Cape Province of South Africa. For each case, demographics, injury characteristics, time and location of death and postmortem findings were collected. An expert multidisciplinary panel of reviewed each case, determined preventability and made recommendations for improvement. Analysis of preventable and non-preventable cases was performed using Chi-square, Fisher's exact, and Wilcoxon signed rank tests. A rapid qualitative analysis of recommendations was conducted and descriptively summarized. 138 deaths (48 deceased-on-scene and 90 pre- or in-hospital deaths) were presented to 23 panelists. Overall, 46 (33%) of deaths reviewed were considered preventable or potentially preventable. Of all pre- and in-hospital deaths, late deaths (>24 hours) were more frequently preventable (22, 56%) and due to multi-organ failure and sepsis, compared to early deaths (≤24 hours) with 32 (63%) that were non-preventable and due to central nervous system injury and haemorrhage. 45% of pre and in-hospital deaths were preventable or potentially preventable. The expert panel recommended strengthening community based primary prevention strategies for reducing interpersonal violence alongside health system improvements to facilitate high quality care. For the health system the panel's key recommendations included improving team-based care, adherence to trauma protocols, timely access to radiology, trauma specialists, operative and critical care.
Collapse
Affiliation(s)
- Julia Dixon
- University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Shaheem de Vries
- Western Cape Government Health and Wellness, Cape Town, South Africa
| | - Chelsie Fleischer
- University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Smitha Bhaumik
- University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Chelsea Dymond
- Colorado Permanente Medical Group, Denver, Colorado, United States of America
| | - Austin Jones
- University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Madeline Ross
- University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Julia Finn
- University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Heike Geduld
- Stellenbosch University, Cape Town, South Africa
| | - Elmin Steyn
- Stellenbosch University, Cape Town, South Africa
| | | | | | | | | | | | - Navneet Baidwan
- Department of Family and Community Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | | |
Collapse
|
5
|
Xu J, Song Y, Shah Nayaz BM, Shi W, Zhao Y, Liu Y, Wu S, Li Z, Sun Y, Zhao Y, Yu W, Wang X. Optic Nerve Sheath Diameter Sonography for the Diagnosis of Intracranial Hypertension in Traumatic Brain Injury: A Systematic Review and Meta-Analysis. World Neurosurg 2024; 182:136-143. [PMID: 37951461 DOI: 10.1016/j.wneu.2023.11.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/05/2023] [Accepted: 11/06/2023] [Indexed: 11/14/2023]
Abstract
OBJECTIVES Timely diagnosis and management of elevated intracranial pressure (ICP) in patients with traumatic brain injury (TBI) can significantly reduce mortality rates. Ultrasound examination of the optic nerve sheath diameter (ONSD) is considered a potential, noninvasive, and effective method for assessing ICP. We conducted a systematic review and meta-analysis of ONSD ultrasound detection and invasive ICP monitoring methods to compare and evaluate the diagnostic accuracy of ONSD ultrasound detection methods for intracranial hypertension (IH) in patients with TBI. METHODS We searched the Web of Science, PubMed, and Embase databases to assess the diagnostic accuracy of ONSD sonography for predicting increased ICP. The 2 authors independently extracted the collected data. Simultaneously, the QUADAS-2 tool was used to evaluate the bias risk of each study and conducted random-effects meta-analyses for the accuracy and specificity of diagnosis, and calculated pooled estimates. RESULTS Ten studies with 512 patients were included. The diagnostic accuracy of ONSD sonography for IH was revealed as a pooled sensitivity of 0.85 (95% confidence interval [CI], 0.79-0.89) and specificity of 0.88 (95% CI, 0.80-0.93), compared with the invasive ICP monitoring standard for patients with TBI. CONCLUSIONS ONSD sonography may be a useful method for predicting increased ICP in adult patients with TBI. Further clinical studies are required to confirm the diagnostic value of ONSD sonography.
Collapse
Affiliation(s)
- Jie Xu
- Department of Critical Care Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China; Department of Critical Care Medicine, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China; Department of Critical Care Medicine, Xuzhou First People's Hospital, Xuzhou, China
| | - Yinghua Song
- Department of Pharmaceutical Engineering, Jiangsu Provincial Xuzhou Pharmaceutical Vocational College, Xuzhou, China
| | - Burkutally Muhammad Shah Nayaz
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science Technology, Wuhan, China
| | - Weitao Shi
- Department of Critical Care Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China; Department of Critical Care Medicine, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yun Zhao
- Department of Critical Care Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China; Department of Critical Care Medicine, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yawen Liu
- Department of Critical Care Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China; Department of Critical Care Medicine, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China
| | - Suming Wu
- Department of Critical Care Medicine, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China
| | - Zhi Li
- Department of Critical Care Medicine, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yanhu Sun
- Department of Critical Care Medicine, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yuliang Zhao
- Department of Critical Care Medicine, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China
| | - Wenkui Yu
- Department of Critical Care Medicine, Nanjing Drum Tower Hospital, Nanjing, China
| | - Xudong Wang
- Department of Critical Care Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China; Department of Critical Care Medicine, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.
| |
Collapse
|
6
|
Saritas Nakip O, Pektezel MY, Terzi K, Kesici S, Bayrakci B. Optic nerve sheath diameter and pulsatility index for the diagnosis and follow-up in pediatric traumatic brain injury: a prospective observational cohort study. Childs Nerv Syst 2023; 39:2467-2477. [PMID: 37099137 DOI: 10.1007/s00381-023-05959-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 04/13/2023] [Indexed: 04/27/2023]
Abstract
PURPOSE Invasive neuromonitoring could be difficult in children with traumatic brain injury (TBI). This study aimed to determine whether noninvasive intracranial pressure (nICP), calculated via pulsatility index (PI) and optic nerve sheath diameter (ONSD) had correlated with each other and patient outcome. METHODS All moderate-severe TBI patients were eligible. Patients with a diagnosis of intoxication that did not affect the mental status or cardiovascular system were enrolled as controls. The PI measurements were routinely performed bilaterally on the middle cerebral artery. A software (QLAB's Q-Apps) was used to calculate PI, which further placed the ICP equation of Bellner et al. Linear probe with a 10 MHz frequency transducer to measure ONSD, which further placed the ICP equation of Robba et al. All measurements were performed by a point-of-care ultrasound certified pediatric intensivist under the supervision of a neurocritical care specialist, before and 30 min after a hypertonic saline (HTS) infusion for every 6 h when the patient's mean arterial pressure, heart rate, body temperature, hemoglobin, and blood CO2 levels were within normal ranges. The secondary outcome was the effect of hypertonic saline (HTS) on nICP. Delta-sodium values of each HTS infusion were calculated as a difference between pre- and post-measurements. RESULTS Twenty-five TBI patients (200 measurements) and 19 controls (57 measurements) were included. Median nICP-PI and nICP-ONSD on admission were significantly higher in the TBI group (11.03 (9.98-12.63), p = 0.004, and 13.14 (12.27-14.64), p < 0.001, respectively). Median nICP-ONSD of severe TBI patients were higher than moderate TBI patients (13.58 (13.14-15.71) and 12.30 (9.83-13.14), respectively, p = 0.013). The median nICP-PI was the same across the type of injury (falls and motor vehicle accidents), while the median nICP-ONSD of the motor vehicle accident group was higher than falls. The first nICP-PI and nICP-ONSD measurements in PICU and admission pGCS were negatively correlated (r = - 0.562, p = 0.003 and r = - 0.582, p = 0.002, respectively). The mean nICP-ONSD during the study period and admission pGCS and GOS-E peds score significantly correlated. However, the Bland-Altman plots showed significant bias between the two methods of ICP except after 5th dose of HTS. All nICP values significantly decreased in time, and it was most obvious after the 5th dose of HTS. No significant correlations were found between delta sodium levels and nICP. CONCLUSION Noninvasive estimation of ICP is helpful for the management of pediatric severe TBI patients. nICP driven by ONSD is more consistent with clinical findings of increased ICP but not useful as a follow-up tool in acute management because of slow circulation of CSF around the optic sheath. The correlation between admission GCS scores and GOS-E peds score favors ONSD as a good candidate for determining disease severity and predicting long-term outcomes.
Collapse
Affiliation(s)
- Ozlem Saritas Nakip
- Pediatric Critical Care Medicine and The center for life support practice and reasearch, Faculty of Medicine, Hacettepe University, Ankara, Turkey.
- Department of Pediatric Intensive Care Unit, Dr. Sami, Ulus Children's Hospital, Babür St. No: 44 (06080), Altındağ, Ankara, Turkey.
| | - Mehmet Yasir Pektezel
- Department of Neurology, Division of Intensive Care, Faculty of Medicine, Hacettepe University, Ankara, Turkey
- Department of Neurology, Intensive care unit, Kahramanmaraş Necip Fazıl City Hospital, Kahramanmaras, Turkey
| | - Kivanc Terzi
- Pediatric Critical Care Medicine and The center for life support practice and reasearch, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Selman Kesici
- Pediatric Critical Care Medicine and The center for life support practice and reasearch, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Benan Bayrakci
- Pediatric Critical Care Medicine and The center for life support practice and reasearch, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| |
Collapse
|
7
|
Stein KY, Amenta F, Gomez A, Froese L, Sainbhi AS, Vakitbilir N, Marquez I, Zeiler FA. Associations between intracranial pressure thresholds and multimodal monitoring in acute traumatic neural injury: a scoping review. Acta Neurochir (Wien) 2023; 165:1987-2000. [PMID: 37067617 DOI: 10.1007/s00701-023-05587-6] [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: 02/27/2023] [Accepted: 03/31/2023] [Indexed: 04/18/2023]
Abstract
BACKGROUND Current moderate/severe traumatic brain injury (TBI) guidelines suggest the use of an intracranial pressure (ICP) treatment threshold of 20 mmHg or 22 mmHg. Over the past decade, the use of various cerebral physiology monitoring devices has been incorporated into neurocritical care practice and termed "multimodal monitoring." Such modalities include those that monitor systemic hemodynamics, systemic and brain oxygenation, cerebral blood flow (CBF), cerebral autoregulation, electrophysiology, and cerebral metabolism. Given that the relationship between ICP and outcomes is not yet entirely understood, a comprehensive review of the literature on the associations between ICP thresholds and multimodal monitoring is still needed. METHODS We conducted a scoping review of the literature for studies that present an objective statistical association between ICP above/below threshold and any multimodal monitoring variable. MEDLINE, BIOSIS, Cochrane library, EMBASE, Global Health, and SCOPUS were searched from inception to July 2022 for relevant articles. Full-length, peer-reviewed, original works with a sample size of ≥50 moderate-severe TBI patients were included in this study. RESULTS A total of 13 articles were deemed eligible for final inclusion. The included articles were significantly heterogenous in terms of their designs, demographics, and results, making it difficult to draw any definitive conclusions. No literature describing the association between guideline-based ICP thresholds and measures of brain electrophysiology, cerebral metabolism, or direct metrics of CBF was found. CONCLUSION There is currently little literature that presents objective statistical associations between ICP thresholds and multimodal monitoring physiology. However, overall, the literature indicates that having ICP above guideline based thresholds is associated with increased blood pressure, increased cardiac decoupling, reduced parenchymal brain oxygen tension, and impaired cerebral autoregulation, with no association with CBF velocity within the therapeutic range of ICP. There was insufficient literature to comment on other multimodal monitoring measures.
Collapse
Affiliation(s)
- Kevin Y Stein
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada.
| | - Fiorella Amenta
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Alwyn Gomez
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Logan Froese
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Amanjyot Singh Sainbhi
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Nuray Vakitbilir
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Izabella Marquez
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Frederick A Zeiler
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Division of Anaesthesia, Department of Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
- Centre on Aging, University of Manitoba, Winnipeg, Canada
| |
Collapse
|
8
|
Dokponou YCH, Badirou OBA, Agada KN, Dossou MW, Lawson LD, Ossaga MAD, Nyalundja AD, Adjiou DKFDP, Lassissi KU, Houndodjade SMC, Gbénou FBB, Lantonkpode RP, Togbenon NDL, Bankole NDA. Transcranial doppler in the non-invasive estimation of intracranial pressure in traumatic brain injury compared to other non-invasive methods in lower-middle income countries: Systematic review and meta-analysis. J Clin Neurosci 2023; 113:70-76. [PMID: 37224611 DOI: 10.1016/j.jocn.2023.05.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 04/18/2023] [Accepted: 05/16/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND The prediction of raised Intracranial Pressure (ICP) with accuracy in Traumatic Brain Injury (TBI) patients is a clinically important decision and therapeutic tool. This study aimed to evaluate the existing methods used for non-invasive ICP monitoring in TBI patients in LMICs. METHODS Systematic searches of PubMed, Google Scholar, and ScienceDirect were performed from database inception to November 2021. Studies reporting the prediction of raised ICP in TBI patients by non-invasive means in LMICs were included. Pooled estimates of sensitivity, specificity, positive likelihood ratios, and negative likelihood ratios with 95 %CI were calculated for each index test consisting of the fifteen studies, using the MEDDECIDE module 0.0.2 for meta-analysis of diagnostic test accuracy, reliability, and decision studies in JAMOVI 2.2.5. RESULTS A total of 1032 studies were identified, of which, 15 included 3316 patients with male predominance (n = 2458, 74.13%). Patients' ages range from 15 to 96 years with 40-80 (n = 1205, 36.34%), the most represented population. The ICP measured by Transcranial Doppler (TCD) had a sensitivity of 92.3%, and a specificity of 70%. The positive predictive value was 66.67%, with a negative predictive value of 93.33%. Furthermore, the positive Likelihood Ratio (+LR) was 3.69; 2<+LR < 5 and the negative Likelihood Ratio (-LR) 0.103; 0.1 < -LR < 0.2. We carried out a "Medical Decision", "Plots", "Fagan Normogram" and the ROC curve to find the perfect discrimination point of all the five tests used for the non-invasive measurement of ICP in the TBI patients in LMICs. CONCLUSION The TCD had shown high performance in its sensitivity and specificity, placing it on top of the other four different tests used in LMICs for the management of patients with TBI.
Collapse
Affiliation(s)
- Yao Christian Hugues Dokponou
- Research Department of Sub-Saharan Africa Futures Neurosurgeons Association (SAFNA), Cotonou, Benin Republic; Department of Neurosurgery, Mohammed V University of Rabat, Morocco.
| | - Omar Boladji Adébayo Badirou
- Research Department of Sub-Saharan Africa Futures Neurosurgeons Association (SAFNA), Cotonou, Benin Republic; Department of Neurosurgery, Mohammed V University of Rabat, Morocco.
| | - Kpègnon Nicaise Agada
- Research Department of Sub-Saharan Africa Futures Neurosurgeons Association (SAFNA), Cotonou, Benin Republic; Department of Neurosurgery, Abdou Moumouni University of Niamey, Niger
| | - Mèhomè Wilfried Dossou
- Research Department of Sub-Saharan Africa Futures Neurosurgeons Association (SAFNA), Cotonou, Benin Republic; Department of Neurosurgery, Abdou Moumouni University of Niamey, Niger
| | - Laté Dzidoula Lawson
- Research Department of Sub-Saharan Africa Futures Neurosurgeons Association (SAFNA), Cotonou, Benin Republic; Department of Neurosurgery, Abdou Moumouni University of Niamey, Niger
| | - Madjoue Arsène Désiré Ossaga
- Research Department of Sub-Saharan Africa Futures Neurosurgeons Association (SAFNA), Cotonou, Benin Republic; Department of Neurosurgery, Cheikh Anta Diop University of Dakar, Senegal
| | - Arsene Daniel Nyalundja
- Research Department of Sub-Saharan Africa Futures Neurosurgeons Association (SAFNA), Cotonou, Benin Republic; Center for Tropical Diseases and Global Health (CTDGH), Faculty of Medicine, Université Catholique de Bukavu, Democratic Republic of Congo
| | - Dognon Kossi François de Paule Adjiou
- Research Department of Sub-Saharan Africa Futures Neurosurgeons Association (SAFNA), Cotonou, Benin Republic; Department of Neurosurgery, Mohammed V University of Rabat, Morocco
| | - Katib Ulrich Lassissi
- Research Department of Sub-Saharan Africa Futures Neurosurgeons Association (SAFNA), Cotonou, Benin Republic
| | - Sena Midas Credo Houndodjade
- Research Department of Sub-Saharan Africa Futures Neurosurgeons Association (SAFNA), Cotonou, Benin Republic; Department of Neurosurgery, Cheikh Anta Diop University of Dakar, Senegal
| | - Ferol Baudelaire Babatundé Gbénou
- Research Department of Sub-Saharan Africa Futures Neurosurgeons Association (SAFNA), Cotonou, Benin Republic; Department of Neurosurgery, Cheikh Anta Diop University of Dakar, Senegal
| | - Romaric Paterne Lantonkpode
- Research Department of Sub-Saharan Africa Futures Neurosurgeons Association (SAFNA), Cotonou, Benin Republic; Department of Neurosurgery, Cheikh Anta Diop University of Dakar, Senegal
| | | | - Nourou Dine Adeniran Bankole
- Research Department of Sub-Saharan Africa Futures Neurosurgeons Association (SAFNA), Cotonou, Benin Republic; Clinical Investigation Center (CIC), 1415, INSERM, Department of Interventional Neuroradiology, Teaching Hospital of Tours, Tours, France.
| |
Collapse
|
9
|
Ma R, Pao P, Zhang K, Liu J, Zhang L. Ultrasound-guided puncture into newborn rat brain. IBRAIN 2023; 9:359-368. [PMID: 38680504 PMCID: PMC11045190 DOI: 10.1002/ibra.12103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 04/20/2023] [Accepted: 04/25/2023] [Indexed: 05/01/2024]
Abstract
Since the brain structure of neonatal rats was not fully formed during the first 4 days, it cannot be detected using ultrasound. The objective of this study was to investigate the use of ultrasound to guide puncture in the normal coronal brain structure and determine the puncture depth of the location of the cortex, hippocampus, lateral ventricle, and striatum of newborn rats of 5-15 days. The animal was placed in a prone position. The specific positions of the cortex, hippocampus, lateral ventricle, and striatum were measured under ultrasound. Then, the rats were punctured with a stereotaxic instrument, and dye was injected. Finally, the brains of rats were taken to make frozen sections to observe the puncture results. By ultrasound, the image of the cortex, hippocampus, lateral ventricle, and striatum of the rat can be obtained and the puncture depth of the cortex (8 days: 1.02 ± 0.12, 10 days: 1.02 ± 0.08, 13 days: 1.43 ± 0.05), hippocampus (8 days: 2.63 ± 0.07, 10 days: 2.77 ± 0.14, 13 days: 2.82 ± 0.09), lateral ventricle (8 days: 2.08 ± 0.04, 10 days: 2.26 ± 0.03, 13 days: 2.40 ± 0.06), and corpus striatum (8 days: 4.57 ± 0.09, 10 days: 4.94 ± 0.31, 13 days: 5.13 ± 0.10) can be accurately measured. The rat brain structure and puncture depth changed with the age of the rats. Ultrasound technology can not only clarify the brain structure characteristics of 5-15-day-old rats but also guide the puncture and injection of the rat brain structure. The results of this study laid the foundation for the future use of ultrasound in experimental animal models of neurological diseases.
Collapse
Affiliation(s)
- Rui‐Fang Ma
- Institute of NeuroscienceKunming Medical UniversityKunmingYunnanChina
| | - Ping‐Chieh Pao
- Picower Institute for Learning and Memory, Department of Brain and Cognitive SciencesMassachusetts Institute of TechnologyCambridgeMassachusettsUSA
| | - Kun Zhang
- Institute of UltrasoundShantou Ultrasonic Instrument Research Institute Co. Ltd.ShantouGuangdongChina
| | - Jin‐Xiang Liu
- Institute of NeuroscienceKunming Medical UniversityKunmingYunnanChina
| | - Lin Zhang
- Department of Obstetrics, The International Peace Maternity and Child Health Hospital, School of MedicineShanghai Jiao Tong UniversityShanghaiChina
| |
Collapse
|
10
|
Liu H, Pan F, Lei X, Hui J, Gong R, Feng J, Zheng D. Effect of intracranial pressure on photoplethysmographic waveform in different cerebral perfusion territories: A computational study. Front Physiol 2023; 14:1085871. [PMID: 37007991 PMCID: PMC10060556 DOI: 10.3389/fphys.2023.1085871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 02/24/2023] [Indexed: 03/18/2023] Open
Abstract
Background: Intracranial photoplethysmography (PPG) signals can be measured from extracranial sites using wearable sensors and may enable long-term non-invasive monitoring of intracranial pressure (ICP). However, it is still unknown if ICP changes can lead to waveform changes in intracranial PPG signals.Aim: To investigate the effect of ICP changes on the waveform of intracranial PPG signals of different cerebral perfusion territories.Methods: Based on lump-parameter Windkessel models, we developed a computational model consisting three interactive parts: cardiocerebral artery network, ICP model, and PPG model. We simulated ICP and PPG signals of three perfusion territories [anterior, middle, and posterior cerebral arteries (ACA, MCA, and PCA), all left side] in three ages (20, 40, and 60 years) and four intracranial capacitance conditions (normal, 20% decrease, 50% decrease, and 75% decrease). We calculated following PPG waveform features: maximum, minimum, mean, amplitude, min-to-max time, pulsatility index (PI), resistive index (RI), and max-to-mean ratio (MMR).Results: The simulated mean ICPs in normal condition were in the normal range (8.87–11.35 mm Hg), with larger PPG fluctuations in older subject and ACA/PCA territories. When intracranial capacitance decreased, the mean ICP increased above normal threshold (>20 mm Hg), with significant decreases in maximum, minimum, and mean; a minor decrease in amplitude; and no consistent change in min-to-max time, PI, RI, or MMR (maximal relative difference less than 2%) for PPG signals of all perfusion territories. There were significant effects of age and territory on all waveform features except age on mean.Conclusion: ICP values could significantly change the value-relevant (maximum, minimum, and amplitude) waveform features of PPG signals measured from different cerebral perfusion territories, with negligible effect on shape-relevant features (min-to-max time, PI, RI, and MMR). Age and measurement site could also significantly influence intracranial PPG waveform.
Collapse
Affiliation(s)
- Haipeng Liu
- Research Centre for Intelligent Healthcare, Coventry University, Coventry, United Kingdom
| | - Fan Pan
- College of Electronics and Information Engineering, Sichuan University, Chengdu, China
| | - Xinyue Lei
- College of Electronics and Information Engineering, Sichuan University, Chengdu, China
| | - Jiyuan Hui
- Brain Injury Center, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ru Gong
- Brain Injury Center, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Junfeng Feng
- Brain Injury Center, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Junfeng Feng, ; Dingchang Zheng,
| | - Dingchang Zheng
- Research Centre for Intelligent Healthcare, Coventry University, Coventry, United Kingdom
- *Correspondence: Junfeng Feng, ; Dingchang Zheng,
| |
Collapse
|
11
|
Dattilo M. Noninvasive methods to monitor intracranial pressure. Curr Opin Neurol 2023; 36:1-9. [PMID: 36630209 DOI: 10.1097/wco.0000000000001126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
PURPOSE OF REVIEW Intracranial pressure (ICP) is determined by the production of and outflow facility of cerebrospinal fluid. Since alterations in ICP are implicated in several vision-threatening and life-threatening diseases, measurement of ICP is necessary and common. All current clinical methods to measure ICP are invasive and carry the risk for significant side effects. Therefore, the development of accurate, reliable, objective, and portal noninvasive devices to measure ICP has the potential to change the practice of medicine. This review discusses recent advances and barriers to the clinical implementation of noninvasive devices to determine ICP. RECENT FINDINGS Many noninvasive methods to determine ICP have been developed. Although most have significant limitations limiting their clinical utility, several noninvasive methods have shown strong correlations with invasively obtained ICP and have excellent potential to be developed further to accurately quantify ICP and ICP changes. SUMMARY Although invasive methods remain the mainstay for ICP determination and monitoring, several noninvasive biomarkers have shown promise to quantitatively assess and monitor ICP. With further refinement and advancement of these techniques, it is highly possible that noninvasive methods will become more commonplace and may complement or even supplant invasively obtained methods to determine ICP in certain situations.
Collapse
Affiliation(s)
- Michael Dattilo
- Emory Eye Center, Neuro-Ophthalmology Division, Emory University School of Medicine, Atlanta, Georgia, USA
| |
Collapse
|
12
|
Vitiello L, Salerno G, De Bernardo M, D'Aniello O, Capasso L, Marotta G, Rosa N. Ultrasound Detection of Intracranial Hypertension in Brain Injuries. Front Med (Lausanne) 2022; 9:870808. [PMID: 35847791 PMCID: PMC9279702 DOI: 10.3389/fmed.2022.870808] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 06/13/2022] [Indexed: 11/17/2022] Open
Abstract
In recent years, the measurement of optic nerve sheath diameter with ultrasound to detect the presence of increased intracranial pressure has widely spread. It can be qualitatively and effectively used to identify intracranial hypertension. Intracranial pressure can rise due to acute injury, cerebral bleeding, hydrocephalus, brain tumors and other space-occupying abnormalities, and it is linked to a high death rate. The purpose of this review is to give a general overview of the most relevant scientific publications on ultrasonographic evaluation of the optic nerve in case of brain injuries published in the last 30 years, as well as to analyze the limits of the most extensively used B-scan approach. Fifty-two papers chosen from the PubMed medical database were analyzed in this review. Our findings revealed that ocular ultrasound is an useful diagnostic tool in the management of intracranial hypertension when it exceeds a certain value or after head trauma. As a result, an ultrasound of the optic nerve can be extremely helpful in guiding diagnosis and treatment. The blooming effect is one of the most critical restrictions to consider when using B-scan ultrasonography. Since amplitude-scan ultrasound, also known as A-scan, does not have this limit, these two diagnostic techniques should always be used together for a more full, accurate, and trustworthy ultrasound examination, ensuring more data objectivity.
Collapse
Affiliation(s)
- Livio Vitiello
- Eye Unit, Department of Medicine, Surgery and Dentistry, “Scuola Medica Salernitana,” University of Salerno, Salerno, Italy
| | - Giulio Salerno
- Eye Unit, Department of Medicine, Surgery and Dentistry, “Scuola Medica Salernitana,” University of Salerno, Salerno, Italy
| | - Maddalena De Bernardo
- Eye Unit, Department of Medicine, Surgery and Dentistry, “Scuola Medica Salernitana,” University of Salerno, Salerno, Italy
- *Correspondence: Maddalena De Bernardo
| | - Olga D'Aniello
- Eye Unit, Department of Medicine, Surgery and Dentistry, “Scuola Medica Salernitana,” University of Salerno, Salerno, Italy
| | - Luigi Capasso
- Corneal Transplant Unit, Azienda Sanitaria Locale Napoli 1, Naples, Italy
| | - Giuseppe Marotta
- Eye Unit, Azienda Ospedaliera Universitaria “San Giovanni di Dio e Ruggi D'Aragona”, Salerno, Italy
| | - Nicola Rosa
- Eye Unit, Department of Medicine, Surgery and Dentistry, “Scuola Medica Salernitana,” University of Salerno, Salerno, Italy
| |
Collapse
|