Single versus Serial Measurements of Neuron-Specific Enolase and Prediction of Poor Neurological Outcome in Persistently Unconscious Patients after Out-Of-Hospital Cardiac Arrest - A TTM-Trial Substudy

Background: Prediction of neurological outcome is a crucial part of post cardiac arrest care and prediction in patients remaining unconscious and/or sedated after rewarming from targeted temperature management (TTM) remains difficult. Current guidelines suggest the use of serial measurements of the biomarker neuron-specific enolase (NSE) in combination with other predictors of outcome in patients admitted after out-of-hospital cardiac arrest (OHCA). This study sought to investigate the ability of NSE to predict poor outcome in patients remaining unconscious at day three after OHCA. In addition, this study sought to investigate if serial NSE measurements add incremental prognostic information compared to a single NSE measurement at 48 hours in this population. Methods: This study is a post-hoc sub-study of the TTM trial, randomizing OHCA patients to a course of TTM at either 33°C or 36°C. Patients were included from sites participating in the TTMPLOS trial biobank sub study. NSE was measured at 24, 48 and 72 hours after ROSC and followup was concluded after 180 days. The primary end point was poor neurological function or death defined by a cerebral performance category score (CPC-score) of 3 to 5. Results: A total of 685 (73%) patients participated in the study. At day three after OHCA 63 (9%) patients had died and 473 (69%) patients were not awake. In these patients, a single NSE measurement at 48 hours predicted poor outcome with an area under the receiver operating characteristics curve (AUC) of 0.83. A combination of all three NSE measurements yielded the highest discovered AUC (0.88, p = .0002). Easily applicable combinations of serial NSE measurements did not significantly improve prediction over a single measurement at 48 hours (AUC 0.58-0.84 versus 0.83). Conclusion: NSE is a strong predictor of poor outcome after OHCA in persistently unconscious patients undergoing TTM, and NSE is a promising surrogate marker of outcome in clinical trials. While combinations of serial NSE measurements may provide an increase in overall prognostic information, it is unclear whether actual clinical prognostication with low false-positive rates is improved by application of serial measurements in persistently unconscious patients. The findings of this study should be confirmed in another prospective cohort

Effects of Hypothermia vs Normothermia on Societal Participation and Cognitive Function at 6 Months in Survivors After Out-of-Hospital Cardiac Arrest

ImportanceThe Targeted Hypothermia vs Targeted Normothermia After Out-of-Hospital Cardiac Arrest (TTM2) trial reported no difference in mortality or poor functional outcome at 6 months after out-of-hospital cardiac arrest (OHCA). This predefined exploratory analysis provides more detailed estimation of brain dysfunction for the comparison of the 2 intervention regimens.ObjectivesTo investigate the effects of targeted hypothermia vs targeted normothermia on functional outcome with focus on societal participation and cognitive function in survivors 6 months after OHCA.Design, Setting, and ParticipantsThis study is a predefined analysis of an international multicenter, randomized clinical trial that took place from November 2017 to January 2020 and included participants at 61 hospitals in 14 countries. A structured follow-up for survivors performed at 6 months was by masked outcome assessors. The last follow-up took place in October 2020. Participants included 1861 adult (older than 18 years) patients with OHCA who were comatose at hospital admission. At 6 months, 939 of 1861 were alive and invited to a follow-up, of which 103 of 939 declined or were missing.InterventionsRandomization 1:1 to temperature control with targeted hypothermia at 33 °C or targeted normothermia and early treatment of fever (37.8 °C or higher).Main outcomes and measuresFunctional outcome focusing on societal participation assessed by the Glasgow Outcome Scale Extended ([GOSE] 1 to 8) and cognitive function assessed by the Montreal Cognitive Assessment ([MoCA] 0 to 30) and the Symbol Digit Modalities Test ([SDMT] z scores). Higher scores represent better outcomes.ResultsAt 6 months, 836 of 939 survivors with a mean age of 60 (SD, 13) (range, 18 to 88) years (700 of 836 male [84%]) participated in the follow-up. There were no differences between the 2 intervention groups in functional outcome focusing on societal participation (GOSE score, odds ratio, 0.91; 95% CI, 0.71-1.17; P = .46) or in cognitive function by MoCA (mean difference, 0.36; 95% CI,−0.33 to 1.05; P = .37) and SDMT (mean difference, 0.06; 95% CI,−0.16 to 0.27; P = .62). Limitations in societal participation (GOSE score less than 7) were common regardless of intervention (hypothermia, 178 of 415 [43%]; normothermia, 168 of 419 [40%]). Cognitive impairment was identified in 353 of 599 survivors (59%).ConclusionsIn this predefined analysis of comatose patients after OHCA, hypothermia did not lead to better functional outcome assessed with a focus on societal participation and cognitive function than management with normothermia. At 6 months, many survivors had not regained their pre-arrest activities and roles, and mild cognitive dysfunction was common.Trial RegistrationClinicalTrials.gov Identifier: NCT0290830

Speed of cooling after cardiac arrest in relation to the intervention effect: a sub-study from the TTM2-trial

Background: Targeted temperature management (TTM) is recommended following cardiac arrest; however, time to target temperature varies in clinical practice. We hypothesised the effects of a target temperature of 33 °C when compared to normothermia would differ based on average time to hypothermia and those patients achieving hypothermia fastest would have more favorable outcomes. Methods: In this post-hoc analysis of the TTM-2 trial, patients after out of hospital cardiac arrest were randomized to targeted hypothermia (33 °C), followed by controlled re-warming, or normothermia with early treatment of fever (body temperature, ≥ 37.8 °C). The average temperature at 4 h (240 min) after return of spontaneous circulation (ROSC) was calculated for participating sites. Primary outcome was death from any cause at 6 months. Secondary outcome was poor functional outcome at 6 months (score of 4-6 on modified Rankin scale). Results: A total of 1592 participants were evaluated for the primary outcome. We found no evidence of heterogeneity of intervention effect based on the average time to target temperature on mortality (p = 0.17). Of patients allocated to hypothermia at the fastest sites, 71 of 145 (49%) had died compared to 68 of 148 (46%) of the normothermia group (relative risk with hypothermia, 1.07; 95% confidence interval 0.84-1.36). Poor functional outcome was reported in 74/144 (51%) patients in the hypothermia group, and 75/147 (51%) patients in the normothermia group (relative risk with hypothermia 1.01 (95% CI 0.80-1.26). Conclusions: Using a hospital's average time to hypothermia did not significantly alter the effect of TTM of 33 °C compared to normothermia and early treatment of fever. Keywords: Hypothermia; Out of hospital cardiac arrest; Temperature management; Time to target temperature

The predictive value of highly malignant EEG patterns after cardiac arrest: evaluation of the ERC-ESICM recommendations

Purpose: The 2021 guidelines endorsed by the European Resuscitation Council (ERC) and the European Society of Intensive Care Medicine (ESICM) recommend using highly malignant electroencephalogram (EEG) patterns (HMEP; suppression or burst-suppression) at > 24 h after cardiac arrest (CA) in combination with at least one other concordant predictor to prognosticate poor neurological outcome. We evaluated the prognostic accuracy of HMEP in a large multicentre cohort and investigated the added value of absent EEG reactivity. Methods: This is a pre-planned prognostic substudy of the Targeted Temperature Management trial 2. The presence of HMEP and background reactivity to external stimuli on EEG recorded > 24 h after CA was prospectively reported. Poor outcome was measured at 6 months and defined as a modified Rankin Scale score of 4-6. Prognostication was multimodal, and withdrawal of life-sustaining therapy (WLST) was not allowed before 96 h after CA. Results: 845 patients at 59 sites were included. Of these, 579 (69%) had poor outcome, including 304 (36%) with WLST due to poor neurological prognosis. EEG was recorded at a median of 71 h (interquartile range [IQR] 52-93) after CA. HMEP at > 24 h from CA had 50% [95% confidence interval [CI] 46-54] sensitivity and 93% [90-96] specificity to predict poor outcome. Specificity was similar (93%) in 541 patients without WLST. When HMEP were unreactive, specificity improved to 97% [94-99] (p = 0.008). Conclusion: The specificity of the ERC-ESICM-recommended EEG patterns for predicting poor outcome after CA exceeds 90% but is lower than in previous studies, suggesting that large-scale implementation may reduce their accuracy. Combining HMEP with an unreactive EEG background significantly improved specificity. As in other prognostication studies, a self-fulfilling prophecy bias may have contributed to observed results

Adverse events and their relation to mortality in out-of-hospital cardiac arrest patients treated with therapeutic hypothermia.

OBJECTIVES:: To investigate the association between adverse events recorded during critical care and mortality in out-of-hospital cardiac arrest patients treated with therapeutic hypothermia. DESIGN:: Prospective, observational, registry-based study. SETTING:: Twenty-two hospitals in Europe and the United States. PATIENTS:: Between October 2004 and October 2008, 765 patients were included. INTERVENTIONS:: None. MEASUREMENTS AND MAIN RESULTS:: Arrhythmias (7%-14%), pneumonia (48%), metabolic and electrolyte disorders (5%-37%), and seizures (24%) were common adverse events in the critical care period in cardiac arrest patients treated with therapeutic hypothermia, whereas sepsis (4%) and bleeding (6%) were less frequent. Sustained hyperglycemia (blood glucose >8 mmol/L for >4 hrs; odds ratio 2.3, 95% confidence interval 1.6-3.6, p < .001) and seizures treated with anticonvulsants (odds ratio 4.8, 95% confidence interval 2.9-8.1, p < .001) were associated with increased mortality in a multivariate model. An increased frequency of bleeding and sepsis occurred after invasive procedures (coronary angiography, intravascular devices for cooling, intra-aortic balloon pump), but bleeding and sepsis were not associated with increased mortality (odds ratio 1.0, 95% confidence interval 0.46-2.2, p = .91, and odds ratio 0.30, 95% confidence interval 0.12-0.79, p = .01, respectively). CONCLUSIONS:: Adverse events were common after out-of-hospital cardiac arrest. Sustained hyperglycemia and seizures treated with anticonvulsants were associated with increased mortality. Bleeding and infection were more common after invasive procedures, but these adverse events were not associated with increased mortality in our study

Directional wave measurements from navigational buoys

In-situ wave measurements are often required by marine industry standards and for verification of coastal wave forecasts. Obtaining wave measurements is costly and it would be advantageous to utilize existing platforms like navigational buoys designed for environmental monitoring. In this study, a wave sensor module (MOTUS Wave Sensor, Aanderaa Data Instruments) installed on a navigational buoy (Tideland) and a coastal buoy (EMM2.0) is validated against a dedicated wave measurement buoy (Waverider, Datawell). The validation is based upon four months of measurements off the west coast of Norway. The results show that the MOTUS sensor on-board navigational/coastal buoys provide accurate measurements of wave parameters compared to Waverider. Wave height biases were less than 0.04 m over the full wave spectra, and less than 5% for frequencies between 0.05 and 0.45 Hz (0.01 Hz bin width). Mean wave direction bias for the full spectra was 1.4 and 2.8 degrees, and less than 5 and 10 degrees in frequency bins between 0.05 and 0.45 Hz for the navigational and coastal buoy, respectively. External compass measurements were required for accurate directional measurements for the coastal buoy. The validated wave sensor provides in-situ directional wave measurements with measurement uncertainties well within recommended accuracy levels.publishedVersio

Atrial Fibrillation Following Out-of-Hospital Cardiac Arrest and Targeted Temperature Management - Are We Giving It the Attention it Deserves?

Objectives: Atrial fibrillation has been associated with increased mortality in the general population and mixed populations of critical ill. Atrial fibrillation can also affect patients during post-cardiac arrest care. We sought to assess the prognostic implications of atrial fibrillation following out-of-hospital cardiac arrest, including relation to the level of targeted temperature management. Design: A post hoc analysis of a prospective randomized trial. Setting: Thirty-six ICUs. Patients: We included 897 (96%) of the 939 comatose out-of-hospital cardiac arrest survivors from the targeted temperature management trial (year, 2010-2013) with data on heart rhythm on day 2. Interventions: Targeted temperature management at 33°C or 36°C. Measurements and Main Results: Endpoints included cumulative proportion of atrial fibrillation following out-of-hospital cardiac arrest and 180-day all-cause mortality and specific death causes stratified by atrial fibrillation. Atrial fibrillation on day 2 was used as primary endpoint analyses to exclude effects of short-term atrial fibrillation related to resuscitation and initial management. The cumulative proportions of atrial fibrillation were 15% and 11% on days 1 and 2, respectively. Forty-three percent of patients with initial atrial fibrillation the first day were reported with sinus rhythm on day 2. No difference was found between the groups treated with targeted temperature management at 33°C and 36°C. Patients affected by atrial fibrillation had significantly higher 180-day mortality (atrial fibrillation: 66% vs no-atrial fibrillation: 43%; plogrank < 0.0001 and unadjusted hazard ratio, 1.75 [1.35-2.30]; p < 0.0001). The association between atrial fibrillation and higher mortality remained significant (adjusted hazard ratio, 1.34 [1.01-1.79]; p < 0.05) adjusted for potential confounders. Atrial fibrillation was independently associated with increased risk of cardiovascular death and multiple-organ failure (adjusted hazard ratio, 2.07 [1.39-3.09]; p < 0.001), whereas no association with higher risk of death from cerebral causes was found. Conclusions: Atrial fibrillation was independently associated with higher mortality, primarily driven by cardiovascular causes and multiple-organ failure, and may thus identify a vulnerable subpopulation. Whether treatment to prevent atrial fibrillation is associated with an improved prognosis remains to be established

Prophylactic antibiotics are associated with a lower incidence of pneumonia in cardiac arrest survivors treated with targeted temperature management.

INTRODUCTION: Prophylactic antibiotics (PRO) reduce the incidence of early-onset pneumonia in comatose patients with structural brain injury, but have not been examined in cardiac arrest survivors undergoing targeted temperature management (TTM). We investigated the effect of PRO on the development of pneumonia in that population. METHODS: We conducted a retrospective cohort study comparing patients treated with PRO to those not receiving PRO (no-PRO) using Northern Hypothermia Network registry data. Cardiac arrest survivors ≥ 18 years of age with a GCS°C were enrolled in the registry. Differences were analyzed in univariate analyses and with logistic regression models to evaluate independent associations of clinical factors with incidence of pneumonia and good functional outcome. RESULTS: 416 of 1240 patients (33.5%) received PRO. Groups were similar in age, gender, arrest location, initial rhythm, and time from collapse to return of spontaneous circulation. PRO patients had less pneumonia (12.6% vs. 54.9%, p \u3c 0.001) and less sepsis (1.2 vs. 5.7%, p \u3c 0.001) compared to no-PRO patients. ICU length of stay (98 vs. 100 h, p = 0.2) and incidence of a good functional outcome (41.1 vs. 36.6%, p = 0.19) were similar between groups. Backwards stepwise logistic regression demonstrated PRO were independently associated with a lower incidence of pneumonia (OR 0.09, 95% 0.06-0.14, p \u3c 0.001) and a similar incidence of good functional outcome. CONCLUSIONS: Prophylactic antibiotics were associated with a reduced incidence of pneumonia but a similar rate of good functional outcome

Time to awakening after cardiac arrest and the association with target temperature management

Target temperature management (TTM) at 32-36 °C is recommended in unconscious survivors of cardiac arrest. This study reports awakening in the TTM-trial. Our predefined hypotheses were that time until awakening correlates with long-term neurological outcome and is not affected by level of TTM. Post-hoc analysis of time until awakening after cardiac arrest, its association with long-term (180-days) neurological outcome and predictors of late awakening (day 5 or later). The trial randomized 939 comatose survivors to TTM at 33 °C or 36 °C with strict criteria for withdrawal of life-sustaining therapies. Administered sedation in the treatment groups was compared. Awakening was defined as a Glasgow Coma Scale motor score 6. 496 patients had registered day of awakening in the ICU, another 43 awoke after ICU discharge. Good neurological outcome was more common in early (275/308, 89%) vs late awakening (142/188, 76%), p  < 0.001. Awakening occurred later in TTM33 than in TTM36 (p = 0.002) with no difference in neurological outcome, or cumulative doses of sedative drugs at 12, 24 or 48 hours. TTM33 (p = 0.006), clinical seizures (p = 0.004), and lower GCS-M on admission (p = 0.03) were independent predictors of late awakening. Late awakening is common and often has a good neurological outcome. Time to awakening was longer in TTM33 than in TTM36, this difference could not be attributed to differences in sedative drugs administered during the first 48 hour