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3.
PLoS One ; 15(10): e0238506, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33002026

RESUMO

The aim of the study is to investigate how time and uncertainties of clinical action and decision-making plays out in the practical work of early neurorehabilitation in order to present new analytical ways to understand the underlying logics and dynamic social processes that take place during professional treatment of patients with severe acquired brain injury. Drawing on ethnographic fieldwork in a Danish neuro-intensive step-down unit (NISU) specialising in early neurorehabilitation, we found that negotiation of futures takes place in the modern ICU in the present by strategically building upon past experiences. We have argued that the clinical programme therefore cannot be understood only from a "here and now perspective", since the early neurorehabilitation practice is embedded in overlapping temporalities of the past, the present, and desired futures. The study discusses the underlying logics-often hidden or unnoticed-that impact clinical practice of early neurorehabilitation, in what we have termed a logic of clinical reenactment, a logic of future negotiation and a logic of paradox.


Assuntos
Lesões Encefálicas/reabilitação , Reabilitação Neurológica/métodos , Antropologia Cultural , Lesões Encefálicas/fisiopatologia , Lesões Encefálicas/psicologia , Tomada de Decisões , Dinamarca , Humanos , Unidades de Terapia Intensiva , Masculino , Pessoa de Meia-Idade , Reabilitação Neurológica/ética , Fatores de Tempo , Incerteza
4.
Pan Afr Med J ; 36: 257, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33014253

RESUMO

Since asymptomatic infections as "covert transmitter", and some patients can progress rapidly in the short term, it is essential to pay attention to the diagnosis and surveillance of asymptomatic patients with SARS-COV2 infection. CT scan has great value in screening and detecting patients with COVID-19 pneumonia, especially in the highly suspected or probable asymptomatic cases with negative RT-PCR for SARS-COV2. This study aimed to detect incidentally COVID-19 pneumonia on medical imaging for patients consulting for other reasons.


Assuntos
Betacoronavirus , Técnicas de Laboratório Clínico/métodos , Infecções por Coronavirus/diagnóstico por imagem , Pulmão/diagnóstico por imagem , Pandemias , Pneumonia Viral/diagnóstico por imagem , Dor Abdominal/complicações , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Doenças Assintomáticas , Lesões Encefálicas/complicações , Dor no Peito/complicações , Criança , Pré-Escolar , Infecções por Coronavirus/complicações , Infecções por Coronavirus/diagnóstico , Feminino , Humanos , Achados Incidentais , Linfadenopatia/diagnóstico por imagem , Linfadenopatia/etiologia , Masculino , Pessoa de Meia-Idade , Derrame Pleural/diagnóstico por imagem , Derrame Pleural/etiologia , Pneumonia Viral/complicações , Estudos Prospectivos , Tomografia Computadorizada por Raios X/métodos , Tunísia/epidemiologia , Adulto Jovem
5.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 264-267, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33017979

RESUMO

Spatial neglect (SN) is a neurological syndrome in stroke patients, commonly due to unilateral brain injury. It results in inattention to stimuli in the contralesional visual field. The current gold standard for SN assessment is the behavioral inattention test (BIT). BIT includes a series of penand-paper tests. These tests can be unreliable due to high variablility in subtest performances; they are limited in their ability to measure the extent of neglect, and they do not assess the patients in a realistic and dynamic environment. In this paper, we present an electroencephalography (EEG)-based brain-computer interface (BCI) that utilizes the Starry Night Test to overcome the limitations of the traditional SN assessment tests. Our overall goal with the implementation of this EEG-based Starry Night neglect detection system is to provide a more detailed assessment of SN. Specifically, to detect the presence of SN and its severity. To achieve this goal, as an initial step, we utilize a convolutional neural network (CNN) based model to analyze EEG data and accordingly propose a neglect detection method to distinguish between stroke patients without neglect and stroke patients with neglect.Clinical relevance-The proposed EEG-based BCI can be used to detect neglect in stroke patients with high accuracy, specificity and sensitivity. Further research will additionally allow for an estimation of a patient's field of view (FOV) for more detailed assessment of neglect.


Assuntos
Lesões Encefálicas , Transtornos da Percepção , Acidente Vascular Cerebral , Eletroencefalografia , Humanos , Redes Neurais de Computação , Transtornos da Percepção/diagnóstico , Acidente Vascular Cerebral/complicações
6.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 3335-3338, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018718

RESUMO

Traumatic Brain Injury (TBI) is highly prevalent, affecting ~1% of the U.S. population, with lifetime economic costs estimated to be over $75 billion. In the U.S., there are about 50,000 deaths annually related to TBI, and many others are permanently disabled. However, it is currently unknown which individuals will develop persistent disability following TBI and what brain mechanisms underlie these distinct populations. The pathophysiologic causes for those are most likely multifactorial. Electroencephalogram (EEG) has been used as a promising quantitative measure for TBI diagnosis and prognosis. The recent rise of advanced data science approaches such as machine learning and deep learning holds promise to further analyze EEG data, looking for EEG biomarkers of neurological disease, including TBI. In this work, we investigated various machine learning approaches on our unique 24-hour recording dataset of a mouse TBI model, in order to look for an optimal scheme in classification of TBI and control subjects. The epoch lengths were 1 and 2 minutes. The results were promising with accuracy of ~80-90% when appropriate features and parameters were used using a small number of subjects (5 shams and 4 TBIs). We are thus confident that, with more data and studies, we would be able to detect TBI accurately, not only via long-term recordings but also in practical scenarios, with EEG data obtained from simple wearables in the daily life.


Assuntos
Lesões Encefálicas Traumáticas , Lesões Encefálicas , Animais , Encéfalo , Lesões Encefálicas Traumáticas/diagnóstico , Eletroencefalografia , Humanos , Aprendizado de Máquina , Camundongos
7.
Artigo em Russo | MEDLINE | ID: mdl-33081443

RESUMO

OBJECTIVE: To study a role of traumatic brain injury (TBI) in the development of posttraumatic stress disorder (PTSD) in ex combatants. MATERIAL AND METHODS: Eighty-seven ex combatants were studied. The duration of follow-up was 15-18 years. The diagnosis was established in accordance with ICD-10 criteria. Patients were stratified by diagnosis into main group (PTSD) and comparison group (organic brain injury with reduced symptoms of PTSD ). A psychopathological method and a battery of questionnaires and scales, including those adapted for assessment of consequences of combat trauma, were administered. RESULTS AND CONCLUSION: Clinical presentations of both groups in posttraumatic period show the similarity and homogeneity of posttraumatic disorders in these groups. In the future, the pathogenetic role of TBI severity appears more clearly, which, depending on the severity, leads to the formation of an organic lesion of the brain or performs only a pathoplastic role, giving some features to the clinical picture of PTSD. It was found that the more severe the injury, the greater the likelihood of PTSD transition to organic brain damage. It is emphasized that PTSD treatment is a continuous, long-term, complex and graded process that includes pharmacotherapy, psychotherapy, psychosocial interventions.


Assuntos
Lesões Encefálicas Traumáticas , Lesões Encefálicas , Transtornos de Estresse Pós-Traumáticos , Encéfalo , Lesões Encefálicas Traumáticas/diagnóstico , Humanos , Psicoterapia , Transtornos de Estresse Pós-Traumáticos/diagnóstico
8.
Fa Yi Xue Za Zhi ; 36(4): 502-506, 2020 Aug.
Artigo em Inglês, Chinês | MEDLINE | ID: mdl-33047534

RESUMO

Abstract: Objective To study the characteristics of positive expression of integrin ß1 in the rat brain tissue of two kinds of traumatic brain injury models and to explore the feasibility of inferring the mode of traumatic brain injury using the positive expression of integrin ß1. Methods The occipital region of rats was hit by hydraulic impact method and pendulum striking method to produce two closed brain injury models of linear and rotation acceleration respectively, then 120 SD rats were randomly divided into linear acceleration injury group, rotation acceleration injury group, sham operation group and normal control group. Immunohistochemistry staining and Western blotting method were used to detect the positive expression of integrin ß1 in different parts of the brain tissue at 30 min, 3 h, 6 h, 12 h, 3 d and 7 d after rat injury. The data was processed statistically by SPSS 18.0 software. Results The positive expression of integrin ß1 was detected 30 min after brain injury and reached the peak 6 h after brain injury. With the extension of injury time, the expression tended to enhance. At the same time points after injury, the differences in the positive expression of integrin ß1 between the linear acceleration injury group and the rotation acceleration injury group in the occipital strike point and thalamus had no statistical significance ( P>0.05), but the differences in the expression of integrin ß1 in the frontal lobe and brain stem had statistical significance (P<0.05). Conclusion The characteristics of positive expression of integrin ß1 in brain tissue can be used to infer the strike point and the manner of injury and has application value for the reconstruction of craniocerebral injury process.


Assuntos
Lesões Encefálicas Traumáticas , Lesões Encefálicas , Animais , Encéfalo/metabolismo , Integrina beta1/genética , Integrina beta1/metabolismo , Ratos , Ratos Sprague-Dawley
10.
PLoS One ; 15(10): e0239661, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33007032

RESUMO

Traumatic brain injury (TBI) is characterized by a change in brain function after an external force or sudden movement to the head. TBI is associated with risk-taking, impulsivity, psychological distress, substance abuse, and violent crime. Previous studies have also linked problem gambling to TBI, but these studies have not controlled for possible confounding variables such as mental health problems and hazardous drinking which are also linked to TBI. This study examines the relationship between problem gambling and TBI among adolescents. Data were obtained from the 2011, 2013 and 2015 cycles of the OSDUHS, a biennial cross-sectional school-based study of children in grades 7 to 12 (N = 9,198). Logistic regression was used to estimate adjusted odds ratios (AOR) in controlled and uncontrolled analyses. Adjusting for sex and grade only, problem gambling was associated with a history of TBI (AOR = 2.8). This association remained significant after adjusting for hazardous drinking and suicidality (AOR = 2.0). In addition, problem gambling had a statistically significant relationship with being male (AOR = 4.7), hazardous drinking (AOR = 4.5), and suicidality (AOR = 3.1). This study provides further data to suggest a link between TBI and problem gambling. However, research is needed on the causal relationship between these variables and the potential implications for treatment and prevention.


Assuntos
Lesões Encefálicas Traumáticas/psicologia , Jogo de Azar/fisiopatologia , Jogo de Azar/psicologia , Adolescente , Lesões Encefálicas/psicologia , Criança , Estudos Transversais , Feminino , Inquéritos Epidemiológicos , Humanos , Comportamento Impulsivo , Masculino , Razão de Chances , Ontário/epidemiologia , Instituições Acadêmicas , Estudantes/psicologia , Transtornos Relacionados ao Uso de Substâncias/psicologia
11.
Life Sci ; 260: 118388, 2020 Nov 01.
Artigo em Inglês | MEDLINE | ID: mdl-32890602

RESUMO

Damage to the cholinergic system in central nervous system injuries such as traumatic brain injury (TBI) and neurodegenerative diseases leads to impaired learning and cognition. Neural stem cells (NSCs) have self-renewal capacity and multi-directional differentiation potential and considered the best source of cells for cell replacement therapy. However, how to promote the differentiation of NSCs into neurons is a major challenge in current research. Lhx8 has a specific effect on the development of the cholinergic nervous system, but its exact function is unclear. In this study, we found that Lhx8 could regulate the expression of Growth arrest-specific (GAS)5 which has been implicated in cancer but was less studied in the nervous system. Additionally, results from PCR, fluorescence in situ hybridization, and immunocytochemical analyses showed that GAS5 is mainly expressed in the cytoplasm of hippocampal neural stems cells and promotes their differentiation into neurons; the Morris water maze test demonstrated that GAS5 overexpression restored learning and memory in rats with cholinergic injury. These findings indicate that GAS5, which is regulated by Lhx8, improve brain function following cholinergic nerve injury.


Assuntos
Lesões Encefálicas/fisiopatologia , Neurônios Colinérgicos/patologia , Proteínas com Homeodomínio LIM/metabolismo , Aprendizagem/fisiologia , Memória/fisiologia , Células-Tronco Neurais/patologia , RNA Longo não Codificante/genética , Fatores de Transcrição/metabolismo , Acetilcolina/metabolismo , Animais , Colina O-Acetiltransferase/metabolismo , Neurônios Colinérgicos/metabolismo , Regulação da Expressão Gênica , Proteínas com Homeodomínio LIM/genética , Células-Tronco Neurais/metabolismo , Ratos , Ratos Sprague-Dawley , Recuperação de Função Fisiológica , Fatores de Transcrição/genética
13.
Comput Biol Med ; 124: 103960, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32919186

RESUMO

Artificial intelligence (AI) has penetrated the field of medicine, particularly the field of radiology. Since its emergence, the highly virulent coronavirus disease 2019 (COVID-19) has infected over 10 million people, leading to over 500,000 deaths as of July 1st, 2020. Since the outbreak began, almost 28,000 articles about COVID-19 have been published (https://pubmed.ncbi.nlm.nih.gov); however, few have explored the role of imaging and artificial intelligence in COVID-19 patients-specifically, those with comorbidities. This paper begins by presenting the four pathways that can lead to heart and brain injuries following a COVID-19 infection. Our survey also offers insights into the role that imaging can play in the treatment of comorbid patients, based on probabilities derived from COVID-19 symptom statistics. Such symptoms include myocardial injury, hypoxia, plaque rupture, arrhythmias, venous thromboembolism, coronary thrombosis, encephalitis, ischemia, inflammation, and lung injury. At its core, this study considers the role of image-based AI, which can be used to characterize the tissues of a COVID-19 patient and classify the severity of their infection. Image-based AI is more important than ever as the pandemic surges and countries worldwide grapple with limited medical resources for detection and diagnosis.


Assuntos
Betacoronavirus , Lesões Encefálicas/epidemiologia , Infecções por Coronavirus/epidemiologia , Traumatismos Cardíacos/epidemiologia , Pneumonia Viral/epidemiologia , Inteligência Artificial , Betacoronavirus/patogenicidade , Betacoronavirus/fisiologia , Lesões Encefálicas/classificação , Lesões Encefálicas/diagnóstico por imagem , Técnicas de Laboratório Clínico/métodos , Comorbidade , Biologia Computacional , Infecções por Coronavirus/classificação , Infecções por Coronavirus/diagnóstico , Infecções por Coronavirus/diagnóstico por imagem , Aprendizado Profundo , Traumatismos Cardíacos/classificação , Traumatismos Cardíacos/diagnóstico por imagem , Humanos , Aprendizado de Máquina , Pandemias/classificação , Pneumonia Viral/classificação , Pneumonia Viral/diagnóstico por imagem , Fatores de Risco , Índice de Gravidade de Doença
15.
Zhongguo Ying Yong Sheng Li Xue Za Zhi ; 36(3): 240-244, 2020 May.
Artigo em Chinês | MEDLINE | ID: mdl-32981279

RESUMO

Objective: To investigate the inflammatory mechanism of nasal instillation of fine particulate matter (PM2.5)on hippocampal tissue injury in mice.Methods: Thirty C57BL/6J mice were randomly divided into 3 groups(n=10):control group, low-dose group, high-dose group. The nasal instillation doses of PM2.5 in the low-dose group and the high-dose group were 1.5 mg/kg BW and 7.5 mg/kg BW, respectively, and the control group was given saline with an equal volume. Saline was sprayed once every other time for 12 times. The serum levels of tumor necrosis factor-α (TNF-α), interleukin-1ß (IL-1ß) and interleukin-6 (IL-6) were determined by ELISA method. HE staining and electron microscopy were used to observe the pathological changes and ultrastructure of lung tissue and hippocampus. The inflammatory cytokine levels in hippocampus were detected by antibody chip technique. Results: There was no significant effect of PM2.5 nasal instillation on serum TNF-α, IL-1ß and IL-6 levels (P>0.05), and there was no obvious pathological changes in lung tissue structure. In hippocampus, low-dose and high-dose PM2.5 exposure could lead to disordered neuronal arrangement in the hippocampal CA3 region, and there were neurological changes around the neuron cells and ultrastructural changes such as edema around small blood vessels. Compared with the control group, the levels of inflammatory cytokines such as CX3CL1, CSF2 and TECK in the low-dose group were increased significantly (P <0.05), while sTNFR1 was decreased significantly (P<0.05); the inflammatory factors CX3CL1, CSF2, and TCA-3 were significantly increased in the high-dose group (P<0.05), while leptin, MIG, and FASLG were significantly decreased (P<0.05). Conclusion: Nasal instillation of PM2.5 can induce tissue damage in the hippocampus of mice, and its mechanism of action may be the olfactory brain pathway. The increasing of TNF-α and IL-6 and the decreasing of sTNFR1 and FASLG may be involved in inflammatory mechanisms.


Assuntos
Lesões Encefálicas , Hipocampo , Material Particulado , Administração Intranasal , Animais , Lesões Encefálicas/induzido quimicamente , Lesões Encefálicas/fisiopatologia , Citocinas/sangue , Hipocampo/efeitos dos fármacos , Hipocampo/lesões , Pulmão/efeitos dos fármacos , Pulmão/patologia , Lesão Pulmonar/patologia , Camundongos , Camundongos Endogâmicos C57BL , Material Particulado/toxicidade
16.
Zhonghua Yi Xue Za Zhi ; 100(37): 2924-2928, 2020 Oct 13.
Artigo em Chinês | MEDLINE | ID: mdl-32993252

RESUMO

Objective: To explore the the effectiveness of using short-latency somatosensory evoked potential(SLSEP) combined with electroencephalogram(EEG) reactivity to predict the prognosis of severe brain injury(SBI) patients. Methods: Consecutive patients with SBI admitted in neurosurgery intensive care unit(NSICU) at Xiangya Hospital of Central South University from July 2018 to January 2019 were prospectively collected. SLSEP and EEG were recorded in these patients in NSICU within two weeks after injury onset. EEG reactivity(EEG-R) was tested during EEG signal stabilization. In addition, the concentrations of serum neuron-specific enolase (NSE) and S100 protein were also detected. All patients were evaluated with Glasgow Outcome Scale(GOS) during 12 months' follow-up. GOS grade 3 to 5 was defined as favorable group, and GOS grade 1 to 2 was defined as unfavorable group. The association of relevant predictors with patient's prognosis was assessed. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate each potential predictor. Results: Forty-three patients were included in the study, with 26 patients of favorable outcomes and 17 patients with unfavorable prognosis. Univariate analysis revealed that the Glasgow Coma Scale (GCS) score, the concentration of serum NSE, EEG-R, the amplitude of SLSEP were all associated with the prognosis after 12 months' follow-up. Moreover, the AUC for prediction of favorable prognosis by GCS, NSE, EEG-R, SLSEP was 0.661(95%CI: 0.493-0.829), 0.697(95%CI: 0.531-0.862), 0.718(95%CI: 0.557-0.879) and 0.758(95%CI: 0.609-0.907) respectively. However, there was no significant difference of age, gender, pupillary light reflex and S100 protein between the two groups. Furthermore, multiple logistic regression analysis showed that only SLSEP amplitude (OR=2.058, 95%CI: 0.867-4.888) and EEG-R(OR=3.748, 95%CI: 0.857-16.394) were independent predictors of favorable prognosis, and the prognostic model containing these two variables yielded an predictive performance with an AUC of 0.798. Conclusion: The higher amplitude of SLSEP and the existence of EEG-R are predictors of good prognosis in SBI patients, and the combined use of SLSEP and EEG-R in predicting the prognosis of SBI patients is more reliable.


Assuntos
Lesões Encefálicas , Potenciais Somatossensoriais Evocados , Eletroencefalografia , Escala de Coma de Glasgow , Humanos , Prognóstico
17.
Rozhl Chir ; 99(7): 316-322, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32972150

RESUMO

INTRODUCTION: Decompressive craniectomy is an important method for managing refractory intracranial hypertension. Although decompressive craniectomy is a relatively simple procedure, various complications may arise. The aim of our paper was to determine the incidence of complications of decompressive craniectomy in patients with head injury and to analyse their risk factors. METHODS: We retrospectively analysed a group of 94 patients after decompressive craniectomy for head injury between 01 Jan 2014 and 31 Dec 2018. Postoperative complications were evaluated based on clinical examination and postoperative CT scan. The impact of potential risk factors on the occurrence of complications was assessed (age, worse initial clinical condition, any haemocoagulation disorder). RESULTS: Twenty patients died within the first month after surgery. Control CT scan showed one complication in 78 patients (83%), while 46 patients (49%) had more than one complication. We had to reoperate 22 patients (23.4%) due to a complication. The following complications were found: postoperative acute subgaleal/subdural haematoma (30× - 32%), subgaleal/subdural cerebrospinal fluid effusion (29× - 31%), soft tissues oedema (29× - 31%), haemorrhagic progression of brain contusion (17× - 18%), malignant brain oedema (8× - 8.5%), hydrocephalus (8× - 8.5%), temporal muscle atrophy (7× - 7.5%), peroperative massive bleeding ( 6× - 6.4%), epilepsy (4× - 4.3%), syndrome of the trephined (2× - 2.1%), skin necrosis (2× - 2.1%). Patients with a haemocoagulation disorder had a significantly higher incidence of complications (p=0.01). CONCLUSION: Complications of decompressive craniectomy after head injury are frequent. The potential benefit of decompressive craniectomy can be adversely affected by the occurrence of many complications.


Assuntos
Lesões Encefálicas , Traumatismos Craniocerebrais/complicações , Traumatismos Craniocerebrais/cirurgia , Craniectomia Descompressiva/efeitos adversos , Derrame Subdural/cirurgia , Humanos , Complicações Pós-Operatórias/epidemiologia , Complicações Pós-Operatórias/etiologia , Estudos Retrospectivos , Resultado do Tratamento
18.
Nat Commun ; 11(1): 4524, 2020 09 10.
Artigo em Inglês | MEDLINE | ID: mdl-32913280

RESUMO

Traumatic brain injury (TBI) is a leading global cause of death and disability. Here we demonstrate in an experimental mouse model of TBI that mild forms of brain trauma cause severe deficits in meningeal lymphatic drainage that begin within hours and last out to at least one month post-injury. To investigate a mechanism underlying impaired lymphatic function in TBI, we examined how increased intracranial pressure (ICP) influences the meningeal lymphatics. We demonstrate that increased ICP can contribute to meningeal lymphatic dysfunction. Moreover, we show that pre-existing lymphatic dysfunction before TBI leads to increased neuroinflammation and negative cognitive outcomes. Finally, we report that rejuvenation of meningeal lymphatic drainage function in aged mice can ameliorate TBI-induced gliosis. These findings provide insights into both the causes and consequences of meningeal lymphatic dysfunction in TBI and suggest that therapeutics targeting the meningeal lymphatic system may offer strategies to treat TBI.


Assuntos
Lesões Encefálicas/fisiopatologia , Gliose/fisiopatologia , Sistema Glinfático/fisiologia , Meninges/fisiopatologia , Animais , Lesões Encefálicas/complicações , Lesões Encefálicas/patologia , Lesões Encefálicas/terapia , Dependovirus/genética , Modelos Animais de Doenças , Feminino , Vetores Genéticos/administração & dosagem , Vetores Genéticos/genética , Gliose/etiologia , Gliose/patologia , Gliose/prevenção & controle , Sistema Glinfático/patologia , Humanos , Masculino , Meninges/patologia , Camundongos , Fator C de Crescimento do Endotélio Vascular/genética , Fator C de Crescimento do Endotélio Vascular/uso terapêutico
19.
Lakartidningen ; 1172020 09 16.
Artigo em Sueco | MEDLINE | ID: mdl-32940903

RESUMO

In patients suffering from primary acute brain insults, up to 50 % risk epileptical seizures, with deteriorated neurological outcome and raised mortality rate. Continuous EEG registration (cEEG) is proposed but the evidence is unclear. A structured search in Pubmed resulted in 16 observational studies including 943 adult patients suffering from traumatic or cerebrovascular brain insults observed with cEEG. The presentation of definitions, variables and results was remarkably disparate. The evidence regarding detection of epileptic activity as well as correlation with mortality is very low. Disturbed sleeping patterns  correlated with deteriorated neurological functional outcome, but the therapeutic implication is unclear. The value of cEEG in adult patients suffering from primary brain insults is indistinct with a very low evidence grade . Further prospective and standardized studies are needed.


Assuntos
Lesões Encefálicas , Eletroencefalografia , Epilepsia , Adulto , Encéfalo , Lesões Encefálicas/diagnóstico , Lesões Encefálicas/fisiopatologia , Humanos , Monitorização Fisiológica , Convulsões
20.
Artigo em Chinês | MEDLINE | ID: mdl-32746587

RESUMO

Critical poisoning is a critical illness. Cerebral edema after poisoning is one of the important factors that cause the patient's condition to worsen and affect the prognosis of patients after acute brain injury. Aquaporin 4 (AQP-4) is an important member of the aquaporin family and is abundantly expressed in the central nervous system, playing a pivotal role in the formation of cerebral edema. Brain injury can cause the secretion of inflammatory transmitters, causing or aggravating cerebral edema. Tumor necrosis factor-alpha (TNF-α) has been confirmed to be most closely related to cerebral edema, and can participate in the formation and development of brain edema by regulating AQP-4.


Assuntos
Aquaporina 4/metabolismo , Edema Encefálico/metabolismo , Lesões Encefálicas , Fator de Necrose Tumoral alfa/metabolismo , Animais , Humanos , Ratos , Ratos Sprague-Dawley
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