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Aim: "Early" withdrawal of life support therapies (eWLST) within the first 3 calendar days after resuscitation from cardiac arrest (CA) is discouraged. We evaluated a prospective multicenter registry of patients admitted to hospitals after resuscitation from CA to determine predictors of eWLST and estimate its impact on outcomes., Methods: CA survivors enrolled from 2012-2017 in the International Cardiac Arrest Registry (INTCAR) were included. We developed a propensity score for eWLST and matched a cohort with similar probabilities of eWLST who received ongoing care. The incidence of good outcome (Cerebral Performance Category of 1 or 2) was measured across deciles of eWLST in the matched cohort., Results: 2688 patients from 24 hospitals were included. Median ischemic time was 20 (IQR 11, 30) minutes, and 1148 (43%) had an initial shockable rhythm. Withdrawal of life support occurred in 1162 (43%) cases, with 459 (17%) classified as eWLST. Older age, initial non-shockable rhythm, increased ischemic time, shock on admission, out-of-hospital arrest, and admission in the United States were each independently associated with eWLST. All patients with eWLST died, while the matched cohort, good outcome occurred in 21% of patients. 19% of patients within the eWLST group were predicted to have a good outcome, had eWLST not occurred., Conclusions: Early withdrawal of life support occurs frequently after cardiac arrest. Although the mortality of patients matched to those with eWLST was high, these data showed excess mortality with eWLST., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Purpose: Functional outcomes vary between centers after out-of-hospital cardiac arrest (OHCA) and are partially explained by pre-existing health status and arrest characteristics, while the effects of in-hospital treatments on functional outcome are less understood. We examined variation in functional outcomes by center after adjusting for patient- and arrest-specific characteristics and evaluated how in-hospital management differs between high- and low-performing centers., Methods: Analysis of observational registry data within the International Cardiac Arrest Registry was used to perform a hierarchical model of center-specific risk standardized rates for good outcome, adjusted for demographics, pre-existing functional status, and arrest-related factors with treatment center as a random effect variable. We described the variability in treatments and diagnostic tests that may influence outcome at centers with adjusted rates significantly above and below registry average., Results: A total of 3855 patients were admitted to an ICU following cardiac arrest with return of spontaneous circulation. The overall prevalence of good outcome was 11-63% among centers. After adjustment, center-specific risk standardized rates for good functional outcome ranged from 0.47 (0.37-0.58) to 0.20 (0.12-0.26). High-performing centers had faster time to goal temperature, were more likely to have goal temperature of 33 °C, more likely to perform unconscious cardiac catheterization and percutaneous coronary intervention, and had differing prognostication practices than low-performing centers., Conclusions: Center-specific differences in outcomes after OHCA after adjusting for patient-specific factors exist. This variation could partially be explained by in-hospital management differences. Future research should address the contribution of these factors to the differences in outcomes after resuscitation.

Aim: Shivering may interfere with targeted temperature management (TTM) after cardiac arrest, contributing to secondary brain injury. Early identification of shivering is challenging with existing tools. We hypothesized that shivering detected by continuous surface sEMG monitoring would be validated with calorimetry and detected earlier than by intermittent clinical observation., Methods: This prospective observational study enrolled a convenience sample of comatose adult cardiac arrest patients treated with TTM at 33 °C. Clinical shivering was monitored hourly using the Bedside Shivering Assessment Scale (BSAS) by bedside nurses who administered intermittent neuromuscular blockade (NMB) when BSAS ≥ 1. The research team monitored independently for shivering with BSAS every 15 min during continuous blinded monitoring of oxygen consumption (VO 2 ) via indirect calorimetry and sEMG power during the maintenance phase of TTM. A sustained 20% increase in the 5-min rolling average of VO 2 above baseline identified the Gold Standard shivering threshold (VO 2 -20)., Results: Among 18 patients, clinical shivering was detected 23 times in 14 patients. Hierarchical models to predict a shiver event determined by the VO 2 -20 for sEMG power and BSAS revealed an AUC for sEMG power of 0.92 (95%CI = 0.88-0.95), and 0.90 (CI = 0.87-0.94) for BSAS. The optimal threshold of sEMG to predict VO 2 -20 was 32 decibels (dB), and this was exceeded 38 (29-56) min before nurse-detected shivering., Conclusions: Shivering was detected by sEMG power earlier than by clinical assessment with BSAS, with similar accuracy compared to the indirect calorimetry gold standard. Continuous sEMG monitoring appears useful for clinical assessment and research for shivering during TTM., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Objectives: Community consultation (CC) is fundamental to the Exception from Informed Consent (EFIC) process for emergency research, designed to inform and receive feedback from the target study population about potential risks and benefits. To better understand the effectiveness of different techniques for CC, we evaluated EFIC processes at two centers participating in a trial of early cardiac catheterization following out-of-hospital cardiac arrest., Methods: We studied the Institutional Review Board-approved CC activities at Maine Medical Center (MMC) and University of Arizona (AZ) in support of NCT02387398. In Maine, the public was consulted by survey at a professional basketball game and in the emergency department waiting room (in-person group), by multimedia direction to an online website (online group), and by mail (mailing group). Arizona respondents were either approached at a county fair (in-person group) or were directed to an online survey (online group) via social media advertising., Results: Among 2185 survey respondents, approval rates were high for community involvement and personal participation without individual consent. Community consultation using in-person, online, and mailed surveys offered slightly different approval rates, and the rate of responses by modality differed by age and education level but not ethnicity. Print advertising was the least cost effective at $442 per completed survey., Conclusions: Canvassing at public events was the most efficient mode of performing CC, with approval rates similar to mailings, online surveys, and canvassing in other locations. Print advertisements in local papers had a low yield and cost more than other approaches., (Copyright © 2018 Elsevier B.V. All rights reserved.)