236 resultados para In-hospital Cardiac Arrest (CA)
em Université de Lausanne, Switzerland
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INTRODUCTION: Therapeutic hypothermia (TH) is often used to treat out-of-hospital cardiac arrest (OHCA) patients who also often simultaneously receive insulin for stress-induced hyperglycaemia. However, the impact of TH on systemic metabolism and insulin resistance in critical illness is unknown. This study analyses the impact of TH on metabolism, including the evolution of insulin sensitivity (SI) and its variability, in patients with coma after OHCA. METHODS: This study uses a clinically validated, model-based measure of SI. Insulin sensitivity was identified hourly using retrospective data from 200 post-cardiac arrest patients (8,522 hours) treated with TH, shortly after admission to the intensive care unit (ICU). Blood glucose and body temperature readings were taken every one to two hours. Data were divided into three periods: 1) cool (T <35°C); 2) an idle period of two hours as normothermia was re-established; and 3) warm (T >37°C). A maximum of 24 hours each for the cool and warm periods was considered. The impact of each condition on SI is analysed per cohort and per patient for both level and hour-to-hour variability, between periods and in six-hour blocks. RESULTS: Cohort and per-patient median SI levels increase consistently by 35% to 70% and 26% to 59% (P <0.001) respectively from cool to warm. Conversely, cohort and per-patient SI variability decreased by 11.1% to 33.6% (P <0.001) for the first 12 hours of treatment. However, SI variability increases between the 18th and 30th hours over the cool to warm transition, before continuing to decrease afterward. CONCLUSIONS: OCHA patients treated with TH have significantly lower and more variable SI during the cool period, compared to the later warm period. As treatment continues, SI level rises, and variability decreases consistently except for a large, significant increase during the cool to warm transition. These results demonstrate increased resistance to insulin during mild induced hypothermia. Our study might have important implications for glycaemic control during targeted temperature management.
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The outcome for patients after an out-of-hospital cardiac arrest (OHCA) has been poor over many decades and single interventions have mostly resulted in disappointing results. More recently, some regions have observed better outcomes after redesigning their cardiac arrest pathways. Optimised resuscitation and prehospital care is absolutely key, but in-hospital care appears to be at least as important. OHCA treatment requires a multidisciplinary approach, comparable to trauma care; the development of cardiac arrest pathways and cardiac arrest centres may dramatically improve patient care and outcomes. Besides emergency medicine physicians, intensivists and neurologists, cardiologists are playing an increasingly crucial role in the post-resuscitation management, especially by optimising cardiac output and undertaking urgent coronary angiography/intervention.
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OBJECTIVE: EEG is widely used to predict outcome in comatose cardiac arrest patients, but its value has been limited by lack of a uniform classification. We used the EEG terminology proposed by the American Clinical Neurophysiology Society (ACNS) to assess interrater variability in a cohort of cardiac arrest patients included in the Target Temperature Management trial. The main objective was to evaluate if malignant EEG-patterns could reliably be identified. METHODS: Full-length EEGs from 103 comatose cardiac arrest patients were interpreted by four EEG-specialists with different nationalities who were blinded for patient outcome. Percent agreement and kappa (κ) for the categories in the ACNS EEG terminology and for prespecified malignant EEG-patterns were calculated. RESULTS: There was substantial interrater agreement (κ 0.71) for highly malignant patterns and moderate agreement (κ 0.42) for malignant patterns. Substantial agreement was found for malignant periodic or rhythmic patterns (κ 0.72) while agreement for identifying an unreactive EEG was fair (κ 0.26). CONCLUSIONS: The ACNS EEG terminology can be used to identify highly malignant EEG-patterns in post cardiac arrest patients in an international context with high reliability. SIGNIFICANCE: The establishment of strict criteria with high transferability between interpreters will increase the usefulness of routine EEG to assess neurological prognosis after cardiac arrest.
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Introduction: The majority of convulsions are due to an epilepticseizure or a convulsive syncope. In some cases, this is the firstsymptom of an out of hospital cardiac arrest (OH-CA).Objective: This study was aimed to measure the proportion of adultnon traumatic OH-CA presenting as a convulsion.Methodology: We prospectively collected all incoming calls with anout-of-hospital non traumatic seizure as the chief complaint in patients>18 years during a 24-months period. Among these calls, we collectedcases identified as OH-CA by paramedics.Results: During the 24-months period, the EMS dispatch centerreceived 561 calls for an out-of-hospital non traumatic convulsion in anadult. Twelve cases were ultimately classified as CA. In this group, onebystander spontaneously reported that the patient was known forepilepsy. The incidence of OH-CA presenting as convulsions wastherefore 2.1% of all calls for convulsion. Over the same period, theEMS dispatch center received 1035 calls related to an adult nontraumatic OH-CA. Therefore the rate of OH-CA presenting as aconvulsion represented 1.2% of all adult non traumatic OH-CA.Conclusion: Only 12 cases out of the 531 calls for non traumatic adultconvulsions were confirmed OH-CA (2.1%). Nevertheless, this unusualpresentation of OH-CA must be recognized by dispatchers, even whena patient is reported by bystander as a known epileptic. Dispatchersshould keep bystanders on line or call them back before paramedics'arrival, and have them confirm the progressive return of a normalpattern of breathing and state of consciousness; if not, they shouldencourage when necessary bystander to initiate CPR. For dispatchers,a past medical history of epilepsy should not be regarded as sufficientinformation to rule-out OH-CA. It is mandatory that known epilepticpatients should be monitored in the same way as non-epileptic patients.
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Introduction: The majority of convulsions are due to an epileptic seizure or a convulsive syncope. The incidence of out-of-hospital cardiac arrest (OH-CA) presenting as a convulsion is unknown. Objective: This study aimed to measure the incidence of adult nontraumatic OH-CA presenting as a convulsion, a rate that has not been published so far, to the best of our knowledge. Methods: We prospectively collected all incoming calls with an out-of-hospital nontraumatic seizure as the chief complaint in patients >18 years old during a 24-month period. Among these calls, we collected cases identified as OH-CA by paramedics. Results: During the 24-month period, the emergency medical services (EMS) dispatch center received 561 calls for an out-of-hospital nontraumatic convulsion in an adult. Twelve cases were ultimately classified as CA. In this group, one bystander spontaneously reported that the patient was known for epilepsy. The incidence of OH-CA presenting as convulsions was therefore 2.1% of all calls for convulsion. Over the same period, the EMS dispatch center received 1,035 calls related to an adult nontraumatic OH-CA. Therefore, the rate of OH-CA presenting as a convulsion represented 1.2% of all adult nontraumatic OH-CA. Conclusion:L Only 12 cases out of the 531 calls for nontraumatic adult convulsions were confirmed OHCA (2.1%). Nevertheless, this unusual presentation of OH-CA must be recognized by dispatchers, even when a patient is reported by bystander as a known epileptic. Dispatchers should keep bystanders on the line or call them back before paramedics' arrival, and have them confirm the progressive return of a normal pat- tern of breathing and state of consciousness; if not, they should encourage the bystander to initiate CPR when necessary. An intervention should be implemented to improve the detection by dispatchers of OH-CA presenting as convulsion by the development of a specific interview and directed observation. For dispatchers, a past medical history of epilepsy should not be regarded as sufficient information to rule out OH-CA. It is mandatory that known epileptic patients should be monitored in the same way as nonepileptic patients.
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OBJECTIVE: To examine the relationship of early serum procalcitonin (PCT) levels with the severity of post-cardiac arrest syndrome (PCAS), long-term neurological recovery and the risk of early-onset infections in patients with coma after cardiac arrest (CA) treated with therapeutic hypothermia (TH). METHODS: A prospective cohort of adult comatose CA patients treated with TH (33°C, for 24h) admitted to the medical/surgical intensive care unit, Lausanne University Hospital, was studied. Serum PCT was measured early after CA, at two time-points (days 1 and 2). The SOFA score was used to quantify the severity of PCAS. Diagnosis of early-onset infections (within the first 7 days of ICU stay) was made after review of clinical, radiological and microbiological data. Neurological recovery at 3 months was assessed with Cerebral Performance Categories (CPC), and was dichotomized as favorable (CPC 1-2) vs. unfavorable (CPC 3-5). RESULTS: From December 2009 to April 2012, 100 patients (median age 64 [interquartile range 55-73] years, median time from collapse to ROSC 20 [11-30]min) were studied. Peak PCT correlated with SOFA score at day 1 (Spearman's R=0.44, p<0.0001) and was associated with neurological recovery at 3 months (peak PCT 1.08 [0.35-4.45]ng/ml in patients with CPC 1-2 vs. 3.07 [0.89-9.99] ng/ml in those with CPC 3-5, p=0.01). Peak PCT did not differ significantly between patients with early-onset vs. no infections (2.14 [0.49-6.74] vs. 1.53 [0.46-5.38]ng/ml, p=0.49). CONCLUSIONS: Early elevations of serum PCT levels correlate with the severity of PCAS and are associated with worse neurological recovery after CA and TH. In contrast, elevated serum PCT did not correlate with early-onset infections in this setting.
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OBJECTIVES: Current indications for therapeutic hypothermia (TH) are restricted to comatose patients with cardiac arrest (CA) due to ventricular fibrillation (VF) and without circulatory shock. Additional studies are needed to evaluate the benefit of this treatment in more heterogeneous groups of patients, including those with non-VF rhythms and/or shock and to identify early predictors of outcome in this setting. DESIGN: Prospective study, from December 2004 to October 2006. SETTING: 32-bed medico-surgical intensive care unit, university hospital. PATIENTS: Comatose patients with out-of-hospital CA. INTERVENTIONS: TH to 33 +/- 1 degrees C (external cooling, 24 hrs) was administered to patients resuscitated from CA due to VF and non-VF (including asystole or pulseless electrical activity), independently from the presence of shock. MEASUREMENTS AND MAIN RESULTS: We hypothesized that simple clinical criteria available on hospital admission (initial arrest rhythm, duration of CA, and presence of shock) might help to identify patients who eventually survive and might most benefit from TH. For this purpose, outcome was related to these predefined variables. Seventy-four patients (VF 38, non-VF 36) were included; 46% had circulatory shock. Median duration of CA (time from collapse to return of spontaneous circulation [ROSC]) was 25 mins. Overall survival was 39.2%. However, only 3.1% of patients with time to ROSC > 25 mins survived, as compared to 65.7% with time to ROSC < or = 25 mins. Using a logistic regression analysis, time from collapse to ROSC, but not initial arrest rhythm or presence of shock, independently predicted survival at hospital discharge. CONCLUSIONS: Time from collapse to ROSC is strongly associated with outcome following VF and non-VF cardiac arrest treated with therapeutic hypothermia and could therefore be helpful to identify patients who benefit most from active induced cooling.
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Background: Pulseless electrical activity (PEA) cardiac arrest is defined as a cardiac arrest (CA) presenting with a residual organized electrical activity on the electrocardiogram. In the last decades, the incidence of PEA has regularly increased, compared to other types of CA like ventricular fibrillation or pulseless ventricular tachycardia. PEA is frequently induced by reversible conditions. The "4 (or 5) H" & "4 (or 5) T" are proposed as a mnemonic to asses for Hypoxia, Hypovolemia, Hypo- /Hyperkalaemia, Hypothermia, Thrombosis (cardiac or pulmonary), cardiac Tamponade, Toxins, and Tension pneumothorax. Other pathologies (intracranial haemorrhage, severe sepsis, myocardial contraction dysfunction) have been identified as potential causes for PEA, but their respective probability and frequencies are unclear and they are not yet included into the resuscitation guidelines. The aim of this study was to analyse the aetiologies of PEA out-of-hospital CA, in order to evaluate the relative frequencies of each cause and therefore to improve the management of patients suffering a PEA cardiac arrest. Method: This retrospective study was based on data routinely and prospectively collected for each PEMS intervention. All adult patients treated from January 1st 2002 to December 2012 31st by the PEMS for out-of-hospital cardiac arrest, with PEA as the first recorded rhythm, and admitted to the emergency department (ED) of the Lausanne University Hospital were included. The aetiologies of PEA cardiac arrest were classified into subgroups, based on the classical H&T's classification, supplemented by four other subgroups analysis: trauma, intra-cranial haemorrhage (ICH), non-ischemic cardiomyopathy (NIC) and undetermined cause. Results: 1866 OHCA were treated by the PEMS. PEA was the first recorded rhythm in 240 adult patients (13.8 %). After exclusion of 96 patients, 144 patients with a PEA cardiac arrest admitted to the ED were included in the analysis. The mean age was 63.8 ± 20.0 years, 58.3% were men and the survival rate at 48 hours was 29%. 32 different causes of OHCA PEA were established for 119 patients. For 25 patients (17.4 %), we were unable to attribute a specific cause for the PEA cardiac arrest. Hypoxia (23.6 %), acute coronary syndrome (12.5%) and trauma (12.5 %) were the three most frequent causes. Pulmonary embolism, Hypovolemia, Intoxication and Hyperkaliemia occurs in less than 10% of the cases (7.6 %, 5.6 %, 3.5%, respectively 2.1 %). Non ischemic cardiomyopathy and intra-cranial haemorrhage occur in 8.3 % and 6.9 %, respectively. Conclusions: According to our results, intra-cranial haemorrhage and non-ischemic cardiomyopathy represent noticeable causes of PEA in OHCA, with a prevalence equalling or exceeding the frequency of classical 4 H's and 4 T's aetiologies. These two pathologies are potentially accessible to simple diagnostic procedures (native CT-scan or echocardiography) and should be included into the 4 H's and 4 T's mnemonic.
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Current American Academy of Neurology (AAN) guidelines for outcome prediction in comatose survivors of cardiac arrest (CA) have been validated before the therapeutic hypothermia era (TH). We undertook this study to verify the prognostic value of clinical and electrophysiological variables in the TH setting. A total of 111 consecutive comatose survivors of CA treated with TH were prospectively studied over a 3-year period. Neurological examination, electroencephalography (EEG), and somatosensory evoked potentials (SSEP) were performed immediately after TH, at normothermia and off sedation. Neurological recovery was assessed at 3 to 6 months, using Cerebral Performance Categories (CPC). Three clinical variables, assessed within 72 hours after CA, showed higher false-positive mortality predictions as compared with the AAN guidelines: incomplete brainstem reflexes recovery (4% vs 0%), myoclonus (7% vs 0%), and absent motor response to pain (24% vs 0%). Furthermore, unreactive EEG background was incompatible with good long-term neurological recovery (CPC 1-2) and strongly associated with in-hospital mortality (adjusted odds ratio for death, 15.4; 95% confidence interval, 3.3-71.9). The presence of at least 2 independent predictors out of 4 (incomplete brainstem reflexes, myoclonus, unreactive EEG, and absent cortical SSEP) accurately predicted poor long-term neurological recovery (positive predictive value = 1.00); EEG reactivity significantly improved the prognostication. Our data show that TH may modify outcome prediction after CA, implying that some clinical features should be interpreted with more caution in this setting as compared with the AAN guidelines. EEG background reactivity is useful in determining the prognosis after CA treated with TH.
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AIM: Improving cerebral perfusion is an essential component of post-resuscitation care after cardiac arrest (CA), however precise recommendations in this setting are limited. We aimed to examine the effect of moderate hyperventilation (HV) and induced hypertension (IH) on non-invasive cerebral tissue oxygenation (SctO2) in patients with coma after CA monitored with near-infrared spectroscopy (NIRS) during therapeutic hypothermia (TH). METHODS: Prospective pilot study including comatose patients successfully resuscitated from out-of-hospital CA treated with TH, monitored with NIRS. Dynamic changes of SctO2 upon HV and IH were analyzed during the stable TH maintenance phase. HV was induced by decreasing PaCO2 from ∼40 to ∼30 mmHg, at stable mean arterial blood pressure (MAP∼70 mmHg). IH was obtained by increasing MAP from ∼70 to ∼90 mmHg with noradrenaline. RESULTS: Ten patients (mean age 69 years; mean time to ROSC 19 min) were studied. Following HV, a significant reduction of SctO2 was observed (baseline 74.7±4.3% vs. 69.0±4.2% at the end of HV test, p<0.001, paired t-test). In contrast, IH was not associated with changes in SctO2 (baseline 73.6±3.5% vs. 74.1±3.8% at the end of IH test, p=0.24). CONCLUSIONS: Moderate hyperventilation was associated with a significant reduction in SctO2, while increasing MAP to supra-normal levels with vasopressors had no effect on cerebral tissue oxygenation. Our study suggests that maintenance of strictly normal PaCO2 levels and MAP targets of 70mmHg may provide optimal cerebral perfusion during TH in comatose CA patients.
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OBJECTIVE: Therapeutic temperature modulation is recommended after cardiac arrest (CA). However, body temperature (BT) regulation has not been extensively studied in this setting. We investigated BT variation in CA patients treated with therapeutic hypothermia (TH) and analyzed its impact on outcome. METHODS: A prospective cohort of comatose CA patients treated with TH (32-34°C, 24h) at the medical/surgical intensive care unit of the Lausanne University Hospital was studied. Spontaneous BT was recorded on hospital admission. The following variables were measured during and after TH: time to target temperature (TTT=time from hospital admission to induced BT target <34°C), cooling rate (spontaneous BT-induced BT target/TTT) and time of passive rewarming to normothermia. Associations of spontaneous and induced BT with in-hospital mortality were examined. RESULTS: A total of 177 patients (median age 61 years; median time to ROSC 25 min) were studied. Non-survivors (N=90, 51%) had lower spontaneous admission BT than survivors (median 34.5 [interquartile range 33.7-35.9]°C vs. 35.1 [34.4-35.8]°C, p=0.04). Accordingly, time to target temperature was shorter among non-survivors (200 [25-363]min vs. 270 [158-375]min, p=0.03); however, when adjusting for admission BT, cooling rates were comparable between the two outcome groups (0.4 [0.2-0.5]°C/h vs. 0.3 [0.2-0.4]°C/h, p=0.65). Longer duration of passive rewarming (600 [464-744]min vs. 479 [360-600]min, p<0.001) was associated with mortality. CONCLUSIONS: Lower spontaneous admission BT and longer time of passive rewarming were associated with in-hospital mortality after CA and TH. Impaired thermoregulation may be an important physiologic determinant of post-resuscitation disease and CA prognosis. When assessing the benefit of early cooling on outcome, future trials should adjust for patient admission temperature and use the cooling rate rather than the time to target temperature.
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INTRODUCTION. Recent studies suggest that increased blood glucose variability (BGV) is associated with ICU mortality1. Hypothermia is known to induce insulin resistance, thus potentially increasing BGV. No studies however have examined the effect of therapeutic hypothermia (TH) on insulin requirements and BGV. OBJECTIVES. To examine the effect of TH on BGV and its relationship to outcome in patients with coma after cardiac arrest (CA). METHODS. We prospectively studied 132 consecutive comatose CA patients treated with TH (target core temp 33_C for 24 h, using surface cooling). All patients were treated with intravenous insulin (blood glucose target 6-8 mM), according to a written algorithm, with nurse-driven adjustment of insulin dose. For each patient, standard deviation of repeated blood glucose samples was used to calculate BGV. Two time-points, comparable in duration, were studied: TH (stable maintenance phase, i.e. 6-24 h, core temp ± 33_C) vs. Normothermia (NT, i.e. after rewarming, stable normothermic phase, core temp ± 37_C). Mortality and neurological recovery (Glasgow-Pittsburgh Cerebral Performance Categories, CPC, dichotomized as good = CPC 1-2 vs. poor = CPC 3-5) were assessed at hospital discharge. Statistical analysis was performed with ANOVA for repeated measures. RESULTS. Compared to NT, TH was associated with increased intravenous insulin dose (0.8 ± 1.1 vs. 1.6 ± 2 U/h, P\0.0001), higher mean (6.9 ± 1.3 vs. 7.7 ± 1.8 mM, P\0.0001) and maximum (9.1 ± 3.7 vs. 10.9 ± 3.6 mM, P\0.0001) blood glucose, and increased BGV (1.3 ± 1.2 vs. 1.7 ± 1.1 mM, P = 0.004). Increased BGV was strongly associated with mortality (2.5 ± 1.5 mM in non-survivors vs. 1.6 ± 1 mM in survivors, P\0.001) and worse outcome (2.3 ± 1.4 mM in patients with poor vs. 1.5 ± 0.8 mM in those with good neurological recovery, P\0.0001). CONCLUSIONS. Therapeutic hypothermia is associated with increased insulin requirements and higher blood glucose variability,which in turn correlateswithworse prognosis in patientswith post- CA coma. Strategies aimed to maintain stable glycemic profile and avoid blood glucose variability might contribute to optimize the management of TH and may translate into better outcome.
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INTRODUCTION: Electroencephalography (EEG) has a central role in the outcome prognostication in subjects with anoxic/hypoxic encephalopathy following a cardiac arrest (CA). Continuous EEG monitoring (cEEG) has been consistently developed and studied; however, its yield as compared to repeated standard EEG (sEEG) is unknown. METHODS: We studied a prospective cohort of comatose adults treated with therapeutic hypothermia (TH) after a CA. cEEG data regarding background activity and epileptiform components were compared to two 20 minute sEEG extracted from the cEEG recording (one during TH, and one in early normothermia). RESULTS: In this cohort, 34 recordings were studied. During TH, the agreement between cEEG and sEEG was 97.1% (95% CI: 84.6 - 99.9%) for background discontinuity and reactivity evaluation, while it was 94.1% (95% CI 80.3 - 99.2%) regarding epileptiform activity. In early normothermia, we did not find any discrepancies. Thus, concordance was very good during TH (kappa 0.83), and optimal during normothermia (kappa=1). The median delay between CA and the first EEG reactivity testing was 18 hours (range: 4.75 - 25) for patients with perfect agreement and 10 hours (range: 5.75 - 10.5) for the three patients in whom there were discordant findings (P=0.02, Wilcoxon). CONCLUSION: Standard intermittent EEG has comparable performance than continuous EEG both for variables important for outcome prognostication (EEG reactivity) and identification of epileptiform transients in this relatively small sample of comatose survivors of CA. This finding has an important practical implication, especially for centers where EEG resources are limited.
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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.