648 resultados para Coma


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A Escala de Coma de Glasgow (ECGl) e a Escala de Coma de Jouvet (ECJ), são duas escalas usadas na avaliação da consciência em nosso meio. A análise e o uso dessas duas escalas têm indicado que elas se complementam, sendo a ECGl mais sensível à mudanças nos rebaixamentos mais intensos da consciência e a ECJ nos estados mais próximos do normal. O presente estudo teve como objetivo comparar os resultados obtidos na avaliação do nível de consciência no uso dessas duas escalas. A comparação foi realizada num estudo prospectivo com 48 pacientes maiores de 18 anos internados em três unidades gerais de terapia intensiva de diferentes hospitais privados do Município de São Paulo. As avaliações foram realizadas pelos pesquisadores diariamente, sendo as duas escalas aplicadas seqüencialmente uma à outra no tempo de aproximadamente 5 minutos. Cada uma das escalas foi aplicada em 106 avaliações realizadas e os resultados mostraram uma diferença estatisticamente significativa entre a ECGl e a ECJ na indicação de alteração de nível de consciência. Em 37,74% das avaliações realizadas com a ECJ houve indicação de alteração do nível de consciência, enquanto que na ECGl a alteração era apontada em apenas 23,58% das avaliações. Outra observação importante no uso de ambas escalas, foi que em indivíduos com escores na ECGl entre 9 e 11, a indicação de alteração de nível de consciência foi mais acentuada pela ECGl e naquelas com escores na ECGl entre 12 e 15 a ECJ indicou mais acentuada alteração de nível de consciência. No uso da ECGl houve aplicação do não testável (NT) em 20% das avaliações realizadas, não ocorrendo inviabilidade de aplicação de indicadores na ECJ. Entretanto, acredita-se que condições específicas do grupo estudado favoreceram esse resultado, assim como, características específicas de grupos de pacientes podem favorecer o uso de diferentes escalas para avaliação de nível de consciência. A escolha final entre escalas desse tipo deve considerar as características peculiares e condições da clientela a ser avaliada e não preferências individuais ou de departamentos de serviços de saúde.

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Usando como tema a Escala de Coma de Glasgow (ECGl), este estudo objetivou analisar e verificar a retenção do conhecimento frente às estratégias de ensino-aprendizagem e autoaprendizado oferecidas, e verificar o grau de conhecimento adquirido neste processo e a possível associação entre ser ou não aluno que trabalha na enfermagem. Estudo descritivo de abordagem quantitativa. Participaram 62 alunos regularmente matriculados no primeiro semestre do 4º ano de enfermagem. As estratégias de ensino-aprendizagem utilizadas foram: aula expositiva com diapositivos e videoteipe e texto-base. Dos participantes, 41,9% eram trabalhadores na enfermagem; 61,3% informaram ter cuidado de pacientes com alteração do nível de consciência, com predomínio no grupo em que trabalha. Houve incremento estatisticamente significante no percentual de acerto após a aula expositiva e o videoteipe, não havendo alteração no resultado após o autoaprendizado. Não houve diferença no grau de conhecimento adquirido entre os grupos.

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PURPOSE: EEG and somatosensory evoked potential are highly predictive of poor outcome after cardiac arrest; their accuracy for good recovery is however low. We evaluated whether addition of an automated mismatch negativity-based auditory discrimination paradigm (ADP) to EEG and somatosensory evoked potential improves prediction of awakening. METHODS: EEG and ADP were prospectively recorded in 30 adults during therapeutic hypothermia and in normothermia. We studied the progression of auditory discrimination on single-trial multivariate analyses from therapeutic hypothermia to normothermia, and its correlation to outcome at 3 months, assessed with cerebral performance categories. RESULTS: At 3 months, 18 of 30 patients (60%) survived; 5 had severe neurologic impairment (cerebral performance categories = 3) and 13 had good recovery (cerebral performance categories = 1-2). All 10 subjects showing improvements of auditory discrimination from therapeutic hypothermia to normothermia regained consciousness: ADP was 100% predictive for awakening. The addition of ADP significantly improved mortality prediction (area under the curve, 0.77 for standard model including clinical examination, EEG, somatosensory evoked potential, versus 0.86 after adding ADP, P = 0.02). CONCLUSIONS: This automated ADP significantly improves early coma prognostic accuracy after cardiac arrest and therapeutic hypothermia. The progression of auditory discrimination is strongly predictive of favorable recovery and appears complementary to existing prognosticators of poor outcome. Before routine implementation, validation on larger cohorts is warranted.

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An 18-month-old male infant presented with hypoglycemic coma and clinical signs of bronchopneumonia. He was suspected of suffering from septic shock. The patient progressed to irreversible multiple organ failure before the diagnosis of adrenal crisis was established. Plasma levels of ACTH and cortisol remained undetectable. Renin and aldosterone were normal. An autopsy failed to demonstrate any adrenal gland cortical tissue. Immunohistochemical staining demonstrated the presence of all pituitary hormones except ACTH, establishing the diagnosis of isolated ACTH deficiency. Intensive care clinicians should consider adrenal crisis in non-diabetic children with hypoglycemia and rapid circulatory deterioration.

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BACKGROUND: Sedation and therapeutic hypothermia (TH) delay neurological responses and might reduce the accuracy of clinical examination to predict outcome after cardiac arrest (CA). We examined the accuracy of quantitative pupillary light reactivity (PLR), using an automated infrared pupillometry, to predict outcome of post-CA coma in comparison to standard PLR, EEG, and somato-sensory evoked potentials (SSEP). METHODS: We prospectively studied over a 1-year period (June 2012-June 2013) 50 consecutive comatose CA patients treated with TH (33 °C, 24 h). Quantitative PLR (expressed as the % of pupillary response to a calibrated light stimulus) and standard PLR were measured at day 1 (TH and sedation; on average 16 h after CA) and day 2 (normothermia, off sedation: on average 46 h after CA). Neurological outcome was assessed at 90 days with Cerebral Performance Categories (CPC), dichotomized as good (CPC 1-2) versus poor (CPC 3-5). Predictive performance was analyzed using area under the ROC curves (AUC). RESULTS: Patients with good outcome [n = 23 (46 %)] had higher quantitative PLR than those with poor outcome [n = 27; 16 (range 9-23) vs. 10 (1-30) % at day 1, and 20 (13-39) vs. 11 (1-55) % at day 2, both p < 0.001]. Best cut-off for outcome prediction of quantitative PLR was <13 %. The AUC to predict poor outcome was higher for quantitative than for standard PLR at both time points (day 1, 0.79 vs. 0.56, p = 0.005; day 2, 0.81 vs. 0.64, p = 0.006). Prognostic accuracy of quantitative PLR was comparable to that of EEG and SSEP (0.81 vs. 0.80 and 0.73, respectively, both p > 0.20). CONCLUSIONS: Quantitative PLR is more accurate than standard PLR in predicting outcome of post-anoxic coma, irrespective of temperature and sedation, and has comparable prognostic accuracy than EEG and SSEP.

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INTRODUCTION: Continuous EEG (cEEG) is increasingly used to monitor brain function in neuro-ICU patients. However, its value in patients with coma after cardiac arrest (CA), particularly in the setting of therapeutic hypothermia (TH), is only beginning to be elucidated. The aim of this study was to examine whether cEEG performed during TH may predict outcome. METHODS: From April 2009 to April 2010, we prospectively studied 34 consecutive comatose patients treated with TH after CA who were monitored with cEEG, initiated during hypothermia and maintained after rewarming. EEG background reactivity to painful stimulation was tested. We analyzed the association between cEEG findings and neurologic outcome, assessed at 2 months with the Glasgow-Pittsburgh Cerebral Performance Categories (CPC). RESULTS: Continuous EEG recording was started 12 ± 6 hours after CA and lasted 30 ± 11 hours. Nonreactive cEEG background (12 of 15 (75%) among nonsurvivors versus none of 19 (0) survivors; P < 0.001) and prolonged discontinuous "burst-suppression" activity (11 of 15 (73%) versus none of 19; P < 0.001) were significantly associated with mortality. EEG seizures with absent background reactivity also differed significantly (seven of 15 (47%) versus none of 12 (0); P = 0.001). In patients with nonreactive background or seizures/epileptiform discharges on cEEG, no improvement was seen after TH. Nonreactive cEEG background during TH had a positive predictive value of 100% (95% confidence interval (CI), 74 to 100%) and a false-positive rate of 0 (95% CI, 0 to 18%) for mortality. All survivors had cEEG background reactivity, and the majority of them (14 (74%) of 19) had a favorable outcome (CPC 1 or 2). CONCLUSIONS: Continuous EEG monitoring showing a nonreactive or discontinuous background during TH is strongly associated with unfavorable outcome in patients with coma after CA. These data warrant larger studies to confirm the value of continuous EEG monitoring in predicting prognosis after CA and TH.

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Even 30 years after its first publication the Glasgow Coma Scale (GCS) is still used worldwide to describe and assess coma. The GCS consists of three components, the ocular, motor and verbal response to standardized stimulation, and is used as a severity of illness indicator for coma of various origins. The GCS facilitates information transfer and monitoring changes in coma. In addition, it is used as a triage tool in patients with traumatic brain injury. Its prognostic value regarding the outcome after a traumatic brain injury still lacks evidence. One of the main problems is the evaluation of the GCS in sedated, paralysed and/or intubated patients. A multitude of pseudoscores exists but a universal definition has yet to be defined.

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Coma after cardiac arrest (CA) is an important cause of admission to the ICU. Prognosis of post-CA coma has significantly improved over the past decade, particularly because of aggressive postresuscitation care and the use of therapeutic targeted temperature management (TTM). TTM and sedatives used to maintain controlled cooling might delay neurologic reflexes and reduce the accuracy of clinical examination. In the early ICU phase, patients' good recovery may often be indistinguishable (based on neurologic examination alone) from patients who eventually will have a poor prognosis. Prognostication of post-CA coma, therefore, has evolved toward a multimodal approach that combines neurologic examination with EEG and evoked potentials. Blood biomarkers (eg, neuron-specific enolase [NSE] and soluble 100-β protein) are useful complements for coma prognostication; however, results vary among commercial laboratory assays, and applying one single cutoff level (eg, > 33 μg/L for NSE) for poor prognostication is not recommended. Neuroimaging, mainly diffusion MRI, is emerging as a promising tool for prognostication, but its precise role needs further study before it can be widely used. This multimodal approach might reduce false-positive rates of poor prognosis, thereby providing optimal prognostication of comatose CA survivors. The aim of this review is to summarize studies and the principal tools presently available for outcome prediction and to describe a practical approach to the multimodal prognostication of coma after CA, with a particular focus on neuromonitoring tools. We also propose an algorithm for the optimal use of such multimodal tools during the early ICU phase of post-CA coma.

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Management of neurocritical care patients is focused on the prevention and treatment of secondary brain injury, i.e. the number of pathophysiological intracerebral (edema, ischemia, energy dysfunction, seizures) and systemic (hyperthermia, disorders of glucose homeostasis) events that occur following the initial insult (stroke, hemorrhage, head trauma, brain anoxia) that may aggravate patient outcome. The current therapeutic paradigm is based on multimodal neuromonitoring, including invasive (intracranial pressure, brain oxygen, cerebral microdialysis) and non-invasive (transcranial doppler, near-infrared spectroscopy, EEG) tools that allows targeted individualized management of acute coma in the early phase. The aim of this review is to describe the utility of multimodal neuromonitoring for the critical care management of acute coma.

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OBJECTIVES: Therapeutic coma is advocated in guidelines for management of refractory status epilepticus; this is, however, based on weak evidence. We here address the specific impact of therapeutic coma on status epilepticus outcome. DESIGN: Retrospective assessment of a prospectively collected cohort. SETTING: Academic hospital. PATIENTS: Consecutive adults with incident status epilepticus lasting greater than or equal to 30 minutes, admitted between 2006 and 2013. MEASUREMENTS AND MAIN RESULTS: We recorded prospectively demographics, clinical status epilepticus features, treatment, and outcome at discharge and retrospectively medical comorbidities, hospital stay, and infectious complications. Associations between potential predictors and clinical outcome were analyzed using multinomial logistic regressions. Of 467 patients with incident status epilepticus, 238 returned to baseline (51.1%), 162 had new disability (34.6%), and 67 died (14.3%); 50 subjects (10.7%) were managed with therapeutic coma. Therapeutic coma was associated with poorer outcome in the whole cohort (relative risk ratio for new disability, 6.86; 95% CI, 2.84-16.56; for mortality, 9.10; 95% CI, 3.17-26.16); the effect was more important in patients with complex partial compared with generalized convulsive or nonconvulsive status epilepticus in coma. Prevalence of infections was higher (odds ratio, 3.81; 95% CI, 1.66-8.75), and median hospital stay in patients discharged alive was longer (16 d [range, 2-240 d] vs 9 d [range, 1-57 d]; p < 0.001) in subjects managed with therapeutic coma. CONCLUSIONS: This study provides class III evidence that therapeutic coma is associated with poorer outcome after status epilepticus; furthermore, it portends higher infection rates and longer hospitalizations. These data suggest caution in the straightforward use of this approach, especially in patients with complex partial status epilepticus.

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L'état de mal épileptique (EME) est la plus fréquente urgence neurologique après les accidents vasculaires cérébraux, avec des hauts taux de morbidité et mortalité (Coeytaux et al., 2000). Son traitement est basé sur une approche en trois étapes (Meiekord et al., 2010). Dans ce contexte, un EME ne répondant pas aux benzodiazépines (1er ligne de traitement) suivi par des médicaments antiépileptiques (2ème ligne de traitement) est appelé EME réfractaire. Pour cette condition, représentant entre le 23% et le 43% des EME (Novy et al., 201O; Holtkamp et al., 2005), les actuelles recommandations préconisent un traitement par coma pharmacologique (3ème ligne de traitement), malgré un faible niveau d'évidence (Rossetti et al., 2011). En effet, l'impact du coma pharmacologique sur l'issue clinique n'a pas encore été clairement établi. Récemment, deux études américaines (Kowalski et al., 2012; Hocker et al., 2013) et une étude suisse (Sutter et al., 2014), ont montré un effet potentiellement délétère de ce type de traitement. Cependant, ces études étaient limitées à des patients hospitalisés aux soins intensifs et les analyses n'étaient pas ajustées pour tous les facteurs pronostiques connus. Le but de notre travail, publié dans Critical Gare Medicine (Marchi et al., 2015), était d'évaluer l'impact spécifique du coma pharmacologique sur le pronostic des patients avec EME, sans limitations aux soins intensifs et avec un·ajustement plus attentif concernant les autres facteurs pronostiques. En utilisant notre registre prospectif des patients avec EME traités aux Centre Hospitalier Universitaire Vaudois, nous avons comparé l'issue clinique à la sortie de l'hôpital des patients traités avec ou sans coma pharmacologique (467 épisodes au total). Ensuite, nous avons utilisé une régression logistique multinomiale pour ajuster les résultats par les autres facteur pronostiques connus (âge, absence de crises épileptiques précédentes, étiologie potentiellement fatale, gravité clinique de l'EME, comorbidités). Nous · avons pu mettre ainsi en évidence que le traitement avec coma pharmacologique est associé avec une mauvaise issue clinique après un EME. De plus, nous avons pu po_ur la première fois montrer que cet effet est d'autant plus important chez les patients avec un EME de type partiel complexe au moment du traitement. Nos résultats suggèrent que l'utilisation du coma pharmacologique ne doit pas être indiscriminée dans l'EME réfractaire et qu'une évaluation de la situation clinique de base permet une optimisation son emploi.