Acute and Critical Care

Original Article

Trauma
Bedside ultrasonographic evaluation of optic nerve sheath diameter for monitoring of intracranial pressure in traumatic brain injury patients: a cross sectional study in level II trauma care center in India: Sujit J. Kshirsagar, Anandkumar H. Pande, Sanyogita V. Naik, Alok Yadav, Ruchira M. Sakhala, Sangharsh M. Salve, Aysath Nuhaimah, Priyanka Desai; Acute Crit Care. 2024;39(1):155-161. Published online February 23, 2024; DOI: https://doi.org/10.4266/acc.2023.01172

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Background
Optic nerve sheath diameter (ONSD) is an emerging non-invasive, easily accessible, and possibly useful measurement for evaluating changes in intracranial pressure (ICP). The utilization of bedside ultrasonography (USG) to measure ONSD has garnered increased attention due to its portability, real-time capability, and lack of ionizing radiation. The primary aim of the study was to assess whether bedside USG-guided ONSD measurement can reliably predict increased ICP in traumatic brain injury (TBI) patients. Methods: A total of 95 patients admitted to the trauma intensive care unit was included in this cross sectional study. Patient brain computed tomography (CT) scans and Glasgow Coma Scale (GCS) scores were assessed at the time of admission. Bedside USG-guided binocular ONSD was measured and the mean ONSD was noted. Microsoft Excel was used for statistical analysis. Results: Patients with low GCS had higher mean ONSD values (6.4±1.0 mm). A highly significant association was found among the GCS, CT results, and ONSD measurements (P<0.001). Compared to CT scans, the bedside USG ONSD had 86.42% sensitivity and 64.29% specificity for detecting elevated ICP. The positive predictive value of ONSD to identify elevated ICP was 93.33%, and its negative predictive value was 45.00%. ONSD measurement accuracy was 83.16%. Conclusions: Increased ICP can be accurately predicted by bedside USG measurement of ONSD and can be a valuable adjunctive tool in the management of TBI patients.

Citations

Citations to this article as recorded by

Measurement of Optic Nerve Sheath Diameter by Bedside Ultrasound in Patients With Traumatic Brain Injury Presenting to Emergency Department: A Review
Preethy Koshy, Charuta Gadkari
Cureus.2024;[Epub] CrossRef

Review Articles

Basic science and research
Brain–computer interface in critical care and rehabilitation: Eunseo Oh, Seyoung Shin, Sung-Phil Kim; Acute Crit Care. 2024;39(1):24-33. Published online January 12, 2024; DOI: https://doi.org/10.4266/acc.2023.01382

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Abstract PDF: This comprehensive review explores the broad landscape of brain–computer interface (BCI) technology and its potential use in intensive care units (ICUs), particularly for patients with motor impairments such as quadriplegia or severe brain injury. By employing brain signals from various sensing techniques, BCIs offer enhanced communication and motor rehabilitation strategies for patients. This review underscores the concept and efficacy of noninvasive, electroencephalogram-based BCIs in facilitating both communicative interactions and motor function recovery. Additionally, it highlights the current research gap in intuitive “stop” mechanisms within motor rehabilitation protocols, emphasizing the need for advancements that prioritize patient safety and individualized responsiveness. Furthermore, it advocates for more focused research that considers the unique requirements of ICU environments to address the challenges arising from patient variability, fatigue, and limited applicability of current BCI systems outside of experimental settings.

CPR/Resuscitation
Plasma biomarkers for brain injury in extracorporeal membrane oxygenation: Shrey Kapoor, Anna Kolchinski, Aaron M. Gusdon, Lavienraj Premraj, Sung-Min Cho; Acute Crit Care. 2023;38(4):389-398. Published online November 29, 2023; DOI: https://doi.org/10.4266/acc.2023.01368

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Abstract PDF: Extracorporeal membrane oxygenation (ECMO) is a life-saving intervention for patients with refractory cardiorespiratory failure. Despite its benefits, ECMO carries a significant risk of neurological complications, including acute brain injury (ABI). Although standardized neuromonitoring and neurological care have been shown to improve early detection of ABI, the inability to perform neuroimaging in a timely manner is a major limitation in the accurate diagnosis of neurological complications. Therefore, blood-based biomarkers capable of detecting ongoing brain injury at the bedside are of great clinical significance. This review aims to provide a concise review of the current literature on plasma biomarkers for ABI in patients on ECMO support.

Trauma
Mobilization phases in traumatic brain injury: Tommy Alfandy Nazwar, Ivan Triangto, Gutama Arya Pringga, Farhad Bal’afif, Donny Wisnu Wardana; Acute Crit Care. 2023;38(3):261-270. Published online August 1, 2023; DOI: https://doi.org/10.4266/acc.2023.00640

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Abstract PDF

Mobilization in traumatic brain injury (TBI) have shown the improvement of length of stay, infection, long term weakness, and disability. Primary damage as a result of trauma’s direct effect (skull fracture, hematoma, contusion, laceration, and nerve damage) and secondary damage caused by trauma’s indirect effect (microvasculature damage and pro-inflammatory cytokine) result in reduced tissue perfusion & edema. These can be facilitated through mobilization, but several precautions must be recognized as mobilization itself may further deteriorate patient’s condition. Very few studies have discussed in detail regarding mobilizing patients in TBI cases. Therefore, the scope of this review covers the detail of physiological effects, guideline, precautions, and technique of mobilization in patients with TBI.

Citations

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Acute orthostatic responses during early mobilisation of patients with acquired brain injury - Innowalk pro versus standing frame
Matthijs F Wouda, Espen I Bengtson, Ellen Høyer, Alhed P Wesche, Vivien Jørgensen
Journal of Rehabilitation and Assistive Technologies Engineering.2024;[Epub] CrossRef

Original Article

Trauma
Comparison of admission GCS score to admission GCS-P and FOUR scores for prediction of outcomes among patients with traumatic brain injury in the intensive care unit in India: Nishant Agrawal, Shivakumar S Iyer, Vishwanath Patil, Sampada Kulkarni, Jignesh N Shah, Prashant Jedge; Acute Crit Care. 2023;38(2):226-233. Published online May 25, 2023; DOI: https://doi.org/10.4266/acc.2023.00570

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Abstract PDF

Background
This study aimed to determine the predictive power of the Full Outline of Unresponsiveness (FOUR) score and the Glasgow Coma Scale Pupil (GCS-P) score in determining outcomes for traumatic brain injury (TBI) patients. The Glasgow Outcome Scale (GOS) was used to evaluate patients at 1 month and 6 months after the injury. Methods: We conducted a 15-month prospective observational study. It included 50 TBI patients admitted to the ICU who met our inclusion criteria. We used Pearson’s correlation coefficient to relate coma scales and outcome measures. The predictive value of these scales was determined using the receiver operating characteristic (ROC) curve, calculating the area under the curve with a 99% confidence interval. All hypotheses were two-tailed, and significance was defined as P<0.01. Results: In the present study, the GCS-P and FOUR scores among all patients on admission as well as in the subset of patients who were mechanically ventilated were statistically significant and strongly correlated with patient outcomes. The correlation coefficient of the GCS score compared to GCS-P and FOUR scores was higher and statistically significant. The areas under the ROC curve for the GCS, GCS-P, and FOUR scores and the number of computed tomography abnormalities were 0.912, 0.905, 0.937, and 0.324, respectively. Conclusions: The GCS, GCS-P, and FOUR scores are all excellent predictors with a strong positive linear correlation with final outcome prediction. In particular, the GCS score has the best correlation with final outcome.

Citations

Citations to this article as recorded by

Development of a Novel Neurological Score Combining GCS and FOUR Scales for Assessment of Neurosurgical Patients with Traumatic Brain Injury: GCS-FOUR Scale
Ali Ansari, Sina Zoghi, Amirabbas Khoshbooei, Mohammad Amin Mosayebi, Maryam Feili, Omid Yousefi, Amin Niakan, Seyed Amin Kouhpayeh, Reza Taheri, Hosseinali Khalili
World Neurosurgery.2024; 182: e866. CrossRef
Comparison of Glasgow Coma Scale Full Outline of UnResponsiveness and Glasgow Coma Scale: Pupils Score for Predicting Outcome in Patients with Traumatic Brain Injury
Indu Kapoor, Hemanshu Prabhakar, Arvind Chaturvedi, Charu Mahajan, Abraham L Chawnchhim, Tej P Sinha
Indian Journal of Critical Care Medicine.2024; 28(3): 256. CrossRef
Machine learning for the prediction of in-hospital mortality in patients with spontaneous intracerebral hemorrhage in intensive care unit
Baojie Mao, Lichao Ling, Yuhang Pan, Rui Zhang, Wanning Zheng, Yanfei Shen, Wei Lu, Yuning Lu, Shanhu Xu, Jiong Wu, Ming Wang, Shu Wan
Scientific Reports.2024;[Epub] CrossRef

Review Article

Neurosurgery
Target temperature management in traumatic brain injury with a focus on adverse events, recognition, and prevention: Kwang Wook Jo; Acute Crit Care. 2022;37(4):483-490. Published online November 10, 2022; DOI: https://doi.org/10.4266/acc.2022.01291

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Abstract PDF

Traumatic brain injury (TBI) is a critical cause of disability and death worldwide. Many studies have been conducted aimed at achieving favorable neurologic outcomes by reducing secondary brain injury in TBI patients. However, ground-breaking outcomes are still insufficient so far. Because mild-to-moderate hypothermia (32°C–35°C) has been confirmed to help neurological recovery for recovered patients after circulatory arrest, it has been recognized as a major neuroprotective treatment plan for TBI patients. Thereafter, many clinical studies about the effect of therapeutic hypothermia (TH) on severe TBI have been conducted. However, efficacy and safety have not been demonstrated in many large-scale randomized controlled studies. Rather, some studies have demonstrated an increase in mortality rate due to complications such as pneumonia, so it is not highly recommended for severe TBI patients. Recently, some studies have shown results suggesting TH may help reperfusion/ischemic injury prevention after surgery in the case of mass lesions, such as acute subdural hematoma, and it has also been shown to be effective in intracranial pressure control. In conclusion, TH is still at the center of neuroprotective therapeutic studies regarding TBI. If proper measures can be taken to mitigate the many adverse events that may occur during the course of treatment, more positive efficacy can be confirmed. In this review, we look into adverse events that may occur during the process of the induction, maintenance, and rewarming of targeted temperature management and consider ways to prevent and address them.

Citations

Citations to this article as recorded by

Trends and hotspots in research of traumatic brain injury from 2000 to 2022: A bibliometric study
Yan-rui Long, Kai Zhao, Fu-chi Zhang, Yu Li, Jun-wen Wang, Hong-quan Niu, Jin Lei
Neurochemistry International.2024; 172: 105646. CrossRef
Targeted temperature control following traumatic brain injury: ESICM/NACCS best practice consensus recommendations
Andrea Lavinio, Jonathan P. Coles, Chiara Robba, Marcel Aries, Pierre Bouzat, Dara Chean, Shirin Frisvold, Laura Galarza, Raimund Helbok, Jeroen Hermanides, Mathieu van der Jagt, David K. Menon, Geert Meyfroidt, Jean-Francois Payen, Daniele Poole, Frank R
Critical Care.2024;[Epub] CrossRef
Severe traumatic brain injury in adults: a review of critical care management
Siobhan McLernon
British Journal of Neuroscience Nursing.2023; 19(6): 206. CrossRef

Original Articles

Trauma
C-reactive protein-albumin ratio and procalcitonin in predicting intensive care unit mortality in traumatic brain injury: Canan Gürsoy, Güven Gürsoy, Semra Gümüş Demirbilek; Acute Crit Care. 2022;37(3):462-467. Published online August 5, 2022; DOI: https://doi.org/10.4266/acc.2022.00052

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Abstract PDF

Background
Prediction of intensive care unit (ICU) mortality in traumatic brain injury (TBI), which is a common cause of death in children and young adults, is important for injury management. Neuroinflammation is responsible for both primary and secondary brain injury, and C-reactive protein-albumin ratio (CAR) has allowed use of biomarkers such as procalcitonin (PCT) in predicting mortality. Here, we compared the performance of CAR and PCT in predicting ICU mortality in TBI.
Methods
Adults with TBI were enrolled in our study. The medical records of 82 isolated TBI patients were reviewed retrospectively.
Results
The mean patient age was 49.0 ± 22.69 years; 59 of all patients (72%) were discharged, and 23 (28%) died. There was a statistically significant difference between PCT and CAR values according to mortality (P<0.05). The area under the curve (AUC) was 0.646 with 0.071 standard error for PCT and 0.642 with 0.066 standard error for CAR. The PCT showed a similar AUC of the receiver operating characteristic to CAR.
Conclusions
This study shows that CAR and PCT are usable biomarkers to predict ICU mortality in TBI. When the determined cut-off values are used to predict the course of the disease, the CAR and PCT biomarkers will provide more effective information for treatment planning and for preparation of the family for the treatment process and to manage their outcome expectations.

Citations

Citations to this article as recorded by

Symptoms and Functional Outcomes Among Traumatic Brain Injury Patients 3- to 12-Months Post-Injury
Kathryn S. Gerber, Gemayaret Alvarez, Arsham Alamian, Victoria Behar-Zusman, Charles A. Downs
Journal of Trauma Nursing.2024; 31(2): 72. CrossRef
Association of C-reactive protein/albumin ratio with mortality in patients with Traumatic Brain Injury: A systematic review and meta-analysis
Yuyang Liu, Yaheng Tan, Jun Wan, Qiwen Chen, Yuxin Zheng, Wenhao Xu, Peng Wang, Weelic Chong, Xueying Yu, Yu Zhang
Heliyon.2024; 10(13): e33460. CrossRef

Neurosurgery
Development and internal validation of a nomogram for predicting outcomes in children with traumatic subdural hematoma: Anukoon Kaewborisutsakul, Thara Tunthanathip; Acute Crit Care. 2022;37(3):429-437. Published online June 23, 2022; DOI: https://doi.org/10.4266/acc.2021.01795

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Abstract PDF

Background
A subdural hematoma (SDH) following a traumatic brain injury (TBI) in children can lead to unexpected death or disability. The nomogram is a clinical prediction tool used by physicians to provide prognosis advice to parents for making decisions regarding treatment. In the present study, a nomogram for predicting outcomes was developed and validated. In addition, the predictors associated with outcomes in children with traumatic SDH were determined.
Methods
In this retrospective study, 103 children with SDH after TBI were evaluated. According to the King’s Outcome Scale for Childhood Head Injury classification, the functional outcomes were assessed at hospital discharge and categorized into favorable and unfavorable. The predictors associated with the unfavorable outcomes were analyzed using binary logistic regression. Subsequently, a two-dimensional nomogram was developed for presentation of the predictive model.
Results
The predictive model with the lowest level of Akaike information criterion consisted of hypotension (odds ratio [OR], 9.4; 95% confidence interval [CI], 2.0–42.9), Glasgow coma scale scores of 3–8 (OR, 8.2; 95% CI, 1.7–38.9), fixed pupil in one eye (OR, 4.8; 95% CI, 2.6–8.8), and fixed pupils in both eyes (OR, 3.5; 95% CI, 1.6–7.1). A midline shift ≥5 mm (OR, 1.1; 95% CI, 0.62–10.73) and co-existing intraventricular hemorrhage (OR, 6.5; 95% CI, 0.003–26.1) were also included.
Conclusions
SDH in pediatric TBI can lead to mortality and disability. The predictability level of the nomogram in the present study was excellent, and external validation should be conducted to confirm the performance of the clinical prediction tool.

Citations

Citations to this article as recorded by

Prognostic factors and clinical nomogram for in-hospital mortality in traumatic brain injury
Thara Tunthanathip, Nakornchai Phuenpathom, Apisorn Jongjit
The American Journal of Emergency Medicine.2024; 77: 194. CrossRef
Development of a Clinical Nomogram for Predicting Shunt-Dependent Hydrocephalus
Avika Trakulpanitkit, Thara Tunthanathip
Journal of Health and Allied Sciences NU.2024;[Epub] CrossRef
The Prognostic Value of Immunonutritional Indexes in Pineal Region Tumor
Suchada Supbumrung, Anukoon Kaewborisutsakul, Thara Tunthanathip
Journal of Health and Allied Sciences NU.2024;[Epub] CrossRef
Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis
Jue Wang, Ming Jing Yin, Han Chun Wen
BMC Medical Informatics and Decision Making.2023;[Epub] CrossRef
Development and internal validation of a nomogram to predict massive blood transfusions in neurosurgical operations
Kanisorn Sungkaro, Chin Taweesomboonyat, Anukoon Kaewborisutsakul
Journal of Neurosciences in Rural Practice.2022; 13: 711. CrossRef
Prediction of massive transfusions in neurosurgical operations using machine learning
Chin Taweesomboonyat, Anukoon Kaewborisutsakul, Kanisorn Sungkaro
Asian Journal of Transfusion Science.2022;[Epub] CrossRef

Case Report

Neurology
Myoclonic status epilepticus after severe hyperthermia in a patient with coronavirus disease 2019: Katherine A Hill, John J Peters, Sara M Schaefer; Acute Crit Care. 2023;38(4):509-512. Published online March 24, 2022; DOI: https://doi.org/10.4266/acc.2021.01452

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Abstract PDF: Myoclonic status epilepticus (MSE) is a sign of severe neurologic injury in cardiac arrest patients. To our knowledge, MSE has not been described as a result of prolonged hyperpyrexia. A 56-yearold man with coronavirus disease 2019 presented with acute respiratory distress syndrome, septic/hypovolemic shock, and presumed community-acquired pneumonia. Five days after presentation, he developed a sustained fever of 42.1°C that did not respond to acetaminophen or ice water gastric lavage. After several hours, he was placed on surface cooling. Three hours after fever resolution, new multifocal myoclonus was noted in the patient’s arms and trunk. Electroencephalography showed midline spikes consistent with MSE, which resolved with 40 mg/kg of levetiracetam. This case demonstrates that severe hyperthermia can cause cortical injury significant enough to trigger MSE and should be treated emergently using the most aggressive measures available. Providers should have a low threshold for electroencephalography in intubated patients with a recent history of hyperpyrexia.

Review Article

Neurosurgery
Brain-lung interaction: a vicious cycle in traumatic brain injury: Ariana Alejandra Chacón-Aponte, Érika Andrea Durán-Vargas, Jaime Adolfo Arévalo-Carrillo, Iván David Lozada-Martínez, Maria Paz Bolaño-Romero, Luis Rafael Moscote-Salazar, Pedro Grille, Tariq Janjua; Acute Crit Care. 2022;37(1):35-44. Published online February 11, 2022; DOI: https://doi.org/10.4266/acc.2021.01193

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Abstract PDF

The brain-lung interaction can seriously affect patients with traumatic brain injury, triggering a vicious cycle that worsens patient prognosis. Although the mechanisms of the interaction are not fully elucidated, several hypotheses, notably the “blast injury” theory or “double hit” model, have been proposed and constitute the basis of its development and progression. The brain and lungs strongly interact via complex pathways from the brain to the lungs but also from the lungs to the brain. The main pulmonary disorders that occur after brain injuries are neurogenic pulmonary edema, acute respiratory distress syndrome, and ventilator-associated pneumonia, and the principal brain disorders after lung injuries include brain hypoxia and intracranial hypertension. All of these conditions are key considerations for management therapies after traumatic brain injury and need exceptional case-by-case monitoring to avoid neurological or pulmonary complications. This review aims to describe the history, pathophysiology, risk factors, characteristics, and complications of brain-lung and lung-brain interactions and the impact of different old and recent modalities of treatment in the context of traumatic brain injury.

Citations

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Uncertainty in Neurocritical Care: Recognizing Its Relevance for Clinical Decision-Making
Luis Rafael Moscote-Salazar, William A. Florez-Perdomo, Tariq Janjua
Indian Journal of Neurotrauma.2024; 21(01): 092. CrossRef
Manejo postoperatorio de resección de tumores cerebrales en la unidad de cuidado intensivo
Andrés Felipe Naranjo Ramírez, Álvaro de Jesús Medrano Areiza, Bryan Arango Sánchez, Juan Carlos Arango Martínez, Luis Fermín Naranjo Atehortúa
Acta Colombiana de Cuidado Intensivo.2024; 24(2): 140. CrossRef
Effects of positive end-expiratory pressure on intracranial pressure, cerebral perfusion pressure, and brain oxygenation in acute brain injury: Friend or foe? A scoping review
Greta Zunino, Denise Battaglini, Daniel Agustin Godoy
Journal of Intensive Medicine.2024; 4(2): 247. CrossRef
Acute brain injury increases pulmonary capillary permeability via sympathetic activation-mediated high fluid shear stress and destruction of the endothelial glycocalyx layer
Na Zhao, Chao Liu, Xinxin Tian, Juan Yang, Tianen Wang
Experimental Cell Research.2024; 434(2): 113873. CrossRef
Oral administration of lysozyme protects against injury of ileum via modulating gut microbiota dysbiosis after severe traumatic brain injury
Weijian Yang, Caihua Xi, Haijun Yao, Qiang Yuan, Jun Zhang, Qifang Chen, Gang Wu, Jin Hu
Frontiers in Cellular and Infection Microbiology.2024;[Epub] CrossRef
Pulmonary Effects of Traumatic Brain Injury in Mice: A Gene Set Enrichment Analysis
Wei-Hung Chan, Shih-Ming Huang, Yi-Lin Chiu
International Journal of Molecular Sciences.2024; 25(5): 3018. CrossRef
Beyond the brain: General intensive care considerations in pediatric neurocritical care
Thao L. Nguyen, Dennis W. Simon, Yi-Chen Lai
Seminars in Pediatric Neurology.2024; 49: 101120. CrossRef
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Advances in Clinical Medicine.2024; 14(05): 2336. CrossRef
The Impact of Pulmonary Disorders on Neurological Health (Lung-Brain Axis)
Hongryeol Park, Chan Hee Lee
Immune Network.2024;[Epub] CrossRef
Modeling of the brain-lung axis using organoids in traumatic brain injury: an updated review
Jong-Tae Kim, Kang Song, Sung Woo Han, Dong Hyuk Youn, Harry Jung, Keun-Suh Kim, Hyo-Jung Lee, Ji Young Hong, Yong-Jun Cho, Sung-Min Kang, Jin Pyeong Jeon
Cell & Bioscience.2024;[Epub] CrossRef
Ventilatory targets following brain injury
Shaurya Taran, Sarah Wahlster, Chiara Robba
Current Opinion in Critical Care.2023; 29(2): 41. CrossRef
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Jia Nong, Patrick M. Glassman, Jacob W. Myerson, Viviana Zuluaga-Ramirez, Alba Rodriguez-Garcia, Alvin Mukalel, Serena Omo-Lamai, Landis R. Walsh, Marco E. Zamora, Xijing Gong, Zhicheng Wang, Kartik Bhamidipati, Raisa Y. Kiseleva, Carlos H. Villa, Colin F
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American Association for the Surgery of Trauma/American College of Surgeons Committee on Trauma clinical protocol for management of acute respiratory distress syndrome and severe hypoxemia
Jason A. Fawley, Christopher J. Tignanelli, Nicole L. Werner, George Kasotakis, Samuel P. Mandell, Nina E. Glass, David J. Dries, Todd W. Costantini, Lena M. Napolitano
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The role of cardiac dysfunction and post-traumatic pulmonary embolism in brain-lung interactions following traumatic brain injury
Mabrouk Bahloul, Karama Bouchaala, Najeh Baccouche, Kamilia Chtara, Hedi Chelly, Mounir Bouaziz
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eBioMedicine.2022; 86: 104356. CrossRef
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Revista Investigación en Salud Universidad de Boyacá.2022;[Epub] CrossRef

Original Articles

Basic science and research
A machine learning model for predicting favorable outcome in severe traumatic brain injury patients after 6 months: Mehdi Nourelahi, Fardad Dadboud, Hosseinali Khalili, Amin Niakan, Hossein Parsaei; Acute Crit Care. 2022;37(1):45-52. Published online January 21, 2022; DOI: https://doi.org/10.4266/acc.2021.00486

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Abstract PDF

Background
Traumatic brain injury (TBI), which occurs commonly worldwide, is among the more costly of health and socioeconomic problems. Accurate prediction of favorable outcomes in severe TBI patients could assist with optimizing treatment procedures, predicting clinical outcomes, and result in substantial economic savings. Methods: In this study, we examined the capability of a machine learning-based model in predicting “favorable” or “unfavorable” outcomes after 6 months in severe TBI patients using only parameters measured on admission. Three models were developed using logistic regression, random forest, and support vector machines trained on parameters recorded from 2,381 severe TBI patients admitted to the neuro-intensive care unit of Rajaee (Emtiaz) Hospital (Shiraz, Iran) between 2015 and 2017. Model performance was evaluated using three indices: sensitivity, specificity, and accuracy. A ten-fold cross-validation method was used to estimate these indices. Results: Overall, the developed models showed excellent performance with the area under the curve around 0.81, sensitivity and specificity of around 0.78. The top-three factors important in predicting 6-month post-trauma survival status in TBI patients are “Glasgow coma scale motor response,” “pupillary reactivity,” and “age.” Conclusions: Machine learning techniques might be used to predict the 6-month outcome in TBI patients using only the parameters measured on admission when the machine learning is trained using a large data set.

Citations

Citations to this article as recorded by

Enhancing hospital course and outcome prediction in patients with traumatic brain injury: A machine learning study
Guangming Zhu, Burak B Ozkara, Hui Chen, Bo Zhou, Bin Jiang, Victoria Y Ding, Max Wintermark
The Neuroradiology Journal.2024; 37(1): 74. CrossRef
Machine Learning in Neuroimaging of Traumatic Brain Injury: Current Landscape, Research Gaps, and Future Directions
Kevin Pierre, Jordan Turetsky, Abheek Raviprasad, Seyedeh Mehrsa Sadat Razavi, Michael Mathelier, Anjali Patel, Brandon Lucke-Wold
Trauma Care.2024; 4(1): 31. CrossRef
Science fiction or clinical reality: a review of the applications of artificial intelligence along the continuum of trauma care
Olivia F. Hunter, Frances Perry, Mina Salehi, Hubert Bandurski, Alan Hubbard, Chad G. Ball, S. Morad Hameed
World Journal of Emergency Surgery.2023;[Epub] CrossRef
Gastrointestinal failure, big data and intensive care
Pierre Singer, Eyal Robinson, Orit Raphaeli
Current Opinion in Clinical Nutrition & Metabolic Care.2023; 26(5): 476. CrossRef
Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis
Jue Wang, Ming Jing Yin, Han Chun Wen
BMC Medical Informatics and Decision Making.2023;[Epub] CrossRef
Predicting return to work after traumatic brain injury using machine learning and administrative data
Helena Van Deynse, Wilfried Cools, Viktor-Jan De Deken, Bart Depreitere, Ives Hubloue, Eva Kimpe, Maarten Moens, Karen Pien, Ellen Tisseghem, Griet Van Belleghem, Koen Putman
International Journal of Medical Informatics.2023; 178: 105201. CrossRef
Fluid-Based Protein Biomarkers in Traumatic Brain Injury: The View from the Bedside
Denes V. Agoston, Adel Helmy
International Journal of Molecular Sciences.2023; 24(22): 16267. CrossRef
Predicting Outcome in Patients with Brain Injury: Differences between Machine Learning versus Conventional Statistics
Antonio Cerasa, Gennaro Tartarisco, Roberta Bruschetta, Irene Ciancarelli, Giovanni Morone, Rocco Salvatore Calabrò, Giovanni Pioggia, Paolo Tonin, Marco Iosa
Biomedicines.2022; 10(9): 2267. CrossRef

Neurology
Continuous heart rate variability and electroencephalography monitoring in severe acute brain injury: a preliminary study: Hyunjo Lee, Sang-Beom Jeon, Kwang-Soo Lee; Acute Crit Care. 2021;36(2):151-161. Published online March 18, 2021; DOI: https://doi.org/10.4266/acc.2020.00703

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Abstract PDF

Background
Decreases in heart rate variability have been shown to be associated with poor outcomes in severe acute brain injury. However, it is unknown whether the changes in heart rate variability precede neurological deterioration in such patients. We explored the changes in heart rate variability measured by electrocardiography in patients who had neurological deterioration following severe acute brain injury, and examined the relationship between heart rate variability and electroencephalography parameters.
Methods
Retrospective analysis of 25 patients who manifested neurological deterioration after severe acute brain injury and underwent simultaneous electroencephalography plus electrocardiography monitoring.
Results
Eighteen electroencephalography channels and one simultaneously recorded electrocardiography channel were segmented into epochs of 120-second duration and processed to compute 10 heart rate variability parameters and three quantitative electroencephalography parameters. Raw electroencephalography of the epochs was also assessed by standardized visual interpretation and categorized based on their background abnormalities and ictalinterictal continuum patterns. The heart rate variability and electroencephalography parameters showed consistent changes in the 2-day period before neurological deterioration commenced. Remarkably, the suppression ratio and background abnormality of the electroencephalography parameters had significant reverse correlations with all heart rate variability parameters.
Conclusions
We observed a significantly progressive decline in heart rate variability from the day before the neurological deterioration events in patients with severe acute brain injury were first observed.

Citations

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Association of Depressive and Somatic Symptoms with Heart Rate Variability in Patients with Traumatic Brain Injury
Seung Don Yoo, Eo Jin Park
Journal of Clinical Medicine.2022; 12(1): 104. CrossRef
Influencing Cardiovascular Outcomes through Heart Rate Variability Modulation: A Systematic Review
Alexandru Burlacu, Crischentian Brinza, Iolanda Valentina Popa, Adrian Covic, Mariana Floria
Diagnostics.2021; 11(12): 2198. CrossRef

Trauma
The association between the initial lactate level and need for massive transfusion in severe trauma patients with and without traumatic brain injury: Young Hoon Park, Dong Hyun Ryu, Byung Kook Lee, Dong Hun Lee; Acute Crit Care. 2019;34(4):255-262. Published online November 29, 2019; DOI: https://doi.org/10.4266/acc.2019.00640

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Abstract PDF

Background
Exsanguination is a major cause of death in severe trauma patients. The purpose of this study was to analyze the prognostic impact of the initial lactate level for massive transfusion (MT) in severe trauma. We divided patients according to subgroups of traumatic brain injury (TBI) and non-TBI.
Methods
This single-institution retrospective study was conducted on patients who were admitted to hospital for severe trauma between January 2016 and December 2017. TBI was defined by a head Abbreviated Injury Scale ≥3. Receiver operating characteristic analysis was used to analyze the prognostic impact of the lactate level. Multivariate analyses were performed to evaluate the relationship between the MT and lactate level. The primary outcome was MT.
Results
Of the 553 patients, MT was performed in 62 patients (11.2%). The area under the curve (AUC) for the lactate level for predicting MT was 0.779 (95% confidence interval [CI], 0.742 to 0.813). The AUCs for lactate level in the TBI and non-TBI patients were 0.690 (95% CI, 0.627 to 0.747) and 0.842 (95% CI, 0.796 to 0.881), respectively. In multivariate analyses, the lactate level was independently associated with the MT (odds ratio [OR], 1.179; 95% CI, 1.070 to 1.299). The lactate level was independently associated with MT in non-TBI patients (OR, 1.469; 95% CI, 1.262 to 1.710), but not in TBI patients.
Conclusions
The initial lactate level may be a possible prognostic factor for MT in severe trauma. In TBI patients, however, the initial lactate level was not suitable for predicting MT.

Citations

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Association of initial lactate levels and red blood cell transfusion strategy with outcomes after severe trauma: a post hoc analysis of the RESTRIC trial
Yoshinori Kosaki, Takashi Hongo, Mineji Hayakawa, Daisuke Kudo, Shigeki Kushimoto, Takashi Tagami, Hiromichi Naito, Atsunori Nakao, Tetsuya Yumoto
World Journal of Emergency Surgery.2024;[Epub] CrossRef
Predictors of massive transfusion protocols activation in patients with trauma in Korea: a systematic review
Dongmin Seo, Inhae Heo, Juhong Park, Junsik Kwon, Hye-min Sohn, Kyoungwon Jung
Journal of Trauma and Injury.2024; 37(2): 97. CrossRef

Review Article

Ethics
Medical Management of Brain-Dead Organ Donors: A.S.M. Tanim Anwar, Jae-myeong Lee; Acute Crit Care. 2019;34(1):14-29. Published online February 28, 2019; DOI: https://doi.org/10.4266/acc.2019.00430

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1,519 Download
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Abstract PDF

With improving healthcare services, the demand for organ transplants has been increasing daily worldwide. Deceased organ donors serve as a good alternative option to meet this demand. The first step in this process is identifying potential organ donors. Specifically, braindead patients require aggressive and intensive care from the declaration of brain death until organ retrieval. Currently, there are no specific protocols in place for this, and there are notable variations in the management strategies implemented across different transplant centers. Some transplant centers follow their own treatment protocols, whereas other countries, such as Bangladesh, do not have any protocols for potential organ donor care. In this review, we discuss how to identify brain-dead donors and describe the physiological changes that occur following brain death. We then summarize the management of brain-dead organ donors and, on the basis of a review of the literature, we propose recommendations for a treatment protocol to be developed in the future.

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Case Report

Liver
Brain Oxygen Monitoring via Jugular Venous Oxygen Saturation in a Patient with Fulminant Hepatic Failure: Yerim Kim, Chi Kyung Kim, Seunguk Jung, Sang-Bae Ko; Korean J Crit Care Med. 2016;31(3):251-255. Published online August 30, 2016; DOI: https://doi.org/10.4266/kjccm.2016.00143

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221 Download
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Abstract PDF

Fulminant hepatic failure (FHF) is often accompanied by a myriad of neurologic complications, which are associated with high morbidity and mortality. Although appropriate neuromonitoring is recommended for early diagnosis and to minimize secondary brain injury, individuals with FHF usually have a high chance of coagulopathy, which limits the ability to use invasive neuromonitoring. Jugular bulb venous oxygen saturation (JvO₂) monitoring is well known as a surrogate direct measures of global brain oxygen use. We report the case of a patient with increased intracranial pressure due to FHF, in which JvO₂ was used for appropriate brain oxygen monitoring.

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