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Aim: For some patients, survival with good neurologic function after cardiopulmonary resuscitation (CPR) is highly unlikely, thus CPR would be considered medically futile. Yet, in clinical practice, there are no well-established criteria, guidelines or measures to determine futility. We aimed to investigate how medical futility for CPR in adult patients is defined, measured, and associated with do-not-resuscitate (DNR) code status as well as to evaluate the predictive value of clinical risk scores through meta-analysis., Methods: We searched Embase, PubMed, CINAHL, and PsycINFO from the inception of each database up to January 22, 2021. Data were pooled using a fixed-effects model. Data collection and reporting followed the PRISMA guidelines., Results: Thirty-one studies were included in the systematic review and 11 in the meta-analysis. Medical futility defined by risk scores was associated with a significantly higher risk of in-hospital mortality (5 studies, 3102 participants with Pre-Arrest Morbidity (PAM) and Prognosis After Resuscitation (PAR) score; overall RR 3.38 [95% CI 1.92-5.97]) and poor neurologic outcome/in-hospital mortality (6 studies, 115,213 participants with Good Outcome Following Attempted Resuscitation (GO-FAR) and Prediction of Outcome for In-Hospital Cardiac Arrest (PIHCA) score; RR 6.93 [95% CI 6.43-7.47]). All showed high specificity (>90%) for identifying patients with poor outcome., Conclusion: There is no international consensus and a lack of specific definitions of CPR futility in adult patients. Clinical risk scores might aid decision-making when CPR is assumed to be futile. Future studies are needed to assess their clinical value and reliability as a measure of futility regarding CPR., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)

Aim: Neuron-specific enolase (NSE) increases in response to brain injury and is recommended for outcome prediction in cardiac arrest patients. Our aim was to investigate whether NSE measured at different days after a cardiac arrest and its kinetics would improve the prognostic ability of two cardiac arrest specific risk scores., Methods: Within this prospective observational study, we included consecutive adult patients after cardiac arrest. We calculated the Out-of-hospital cardiac arrest (OHCA) score and the Cardiac Arrest Hospital Prognosis (CAHP) score upon ICU admission and measured serum NSE upon admission and days 1, 2, 3, 5 and 7. We calculated logistic regression models to study associations of scores and NSE levels with neurological outcome defined by Cerebral Performance Category (CPC) scale and in-hospital death., Results: From 336 included patients, 180 (54%) survived until hospital discharge, of which 150 (45%) had a good neurological outcome. NSE at day 3 showed the highest prognostic accuracy (discrimination) for neurological outcome (area under the curve (AUC) 0.89) and in-hospital mortality (AUC 0.88). These results were robust in reclassification statistics and across different subgroups. NSE kinetics with admission levels serving as a baseline did not further improve prognostication. NSE on day 3 significantly improved discrimination of both clinical risk scores (CAHP from AUC 0.81 to 0.91; OHCA from AUC 0.79 to 0.89)., Conclusion: NSE measured at day 3 significantly improves clinical risk scores for outcome prediction in cardiac arrest patients and may thus add to clinical decision making about escalation or withdrawal of therapy in this vulnerable patient population., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Aim: Several scores are available to predict mortality and neurological outcome in cardiac arrest patients admitted to the intensive care unit (ICU). The aim of the study was to externally validate the prognostic value of four previously published risk scores., Methods: For this observational, single-center study, we prospectively included 349 consecutive adult cardiac arrest patients upon ICU admission. We calculated two cardiac arrest specific risk scores (OHCA and CAHP) and two general severity of illness scores (APACHE II and SAPS II). The primary endpoint was in-hospital mortality. Secondary endpoints were neurological outcome at hospital discharge and 30-day mortality., Results: 170 patients (49%) died until hospital discharge. All scores were independently associated with outcomes in logistic regression analysis and showed acceptable discrimination for in-hospital mortality with highest AUCs of the cardiac arrest specific risk scores (OHCA: 0.80 (95%CI 0.75-0.85) and CAHP: 0.84 (95%CI 0.79-0.88) compared to the severity of illness scores (APACHE II: 0.78 (95%CI 0.73-0.83) and SAPS II: 0.77 (95%CI 0.72-0.82). Results were robust in subgroup analysis except for worse performance in elderly patients (>75 years) and patients with respiratory cause of cardiac arrest. Results were similar for 30-days mortality and slightly higher for neurological outcome., Conclusions: This study confirms the good prognostic performance of cardiac arrest specific scores to predict mortality and neurological outcomes in cardiac arrest patients. Routine use of OHCA or CAHP score helps to objectively risk stratify these vulnerable patients and thereby may improve therapeutic decisions., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Introduction: Prognostication of cardiac arrest patients admitted to the intensive care unit (ICU) may influence treatment decision, but remains challenging. We evaluated the incremental usefulness of routine blood markers from different biological pathways for predicting fatal outcome and neurological deficits in cardiac arrest patients., Methods: We prospectively included consecutive, adult cardiac arrest patients upon ICU admission. We recorded initial clinical parameters and measured blood markers of cardiac injury/stress (troponin, BNP, CK), inflammation/infection (WBC, CRP, procalcitonin) and shock (lactate, creatinine, urea). The primary and secondary endpoints were all-cause in-hospital mortality and bad neurological outcome defined by the Cerebral Performance Category (CPC) score., Results: Mortality in the 321 included patients was 49% (n = 156). Procalcitonin (adjusted odds ratio 1.84, 95%CI 1.34 to 2.53, p < 0.001; AUC 0.73) and lactate (adjusted odds ratio 7.29, 95%CI 3.05 to 17.42, p < 0.001; AUC 0.70) were identified as independent prognostic factors for mortality and significantly improved discrimination of a parsimonious clinical model including resuscitation measures (no-flow time, shockable rhythm) and initial vital signs (Glasgow coma scale, respiratory rate) from an AUC of 0.79 to 0.84 (p < 0.001). Cardiac markers did not further improve the model. Results for neurological outcome were similar with model improvements by procalcitonin and lactate from AUC 0.83 to 0.87 (p = 0.004)., Conclusion: Assessment of routine markers of inflammation/infection and shock provide significant improvements for prognostication of cardiac arrest patients, while cardiac markers did not further improve statistical models. Combination of blood markers and clinical parameters may help to improve initial management decisions in this vulnerable patient population., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Aim of the Study: While the 2005 cardiopulmonary resuscitation (CPR) guidelines recommended to provide CPR for five cycles before the next cardiac rhythm check, the current 2010 guideline now recommend to provide CPR for 2 min. Our aim was to compare adherence to both targets in a simulator-based randomized trial., Methods: 119 teams, consisting of three to four physicians each, were randomized to receive a graphical display of the simplified circular adult BLS algorithm with the instruction to perform CPR for either 2 min or five cycles 30:2. Subsequently teams had to treat a simulated unwitnessed cardiac arrest. Data analysis was performed using video-recordings obtained during simulations. The primary endpoint was adherence, defined as being within ±20% of the instructed target (i.e. 96-144s in the 2 min teams and 4-6 cycles in the fivex30:2 teams)., Results: 22/62 (35%) of the "two minutes" teams and 48/57 (84%) of the "five×30:2″ teams provided CPR within a range of ± 20% of their instructed target (P<0.0001). The median time of CPR prior to rhythm check was 91s and 87s, respectively, (P=0.59) with a significant larger variance (P=0.023) in the "two minutes" group., Conclusions: This randomized simulator-based trial found better adherence and less variance to an instruction to continue CPR for five cycles before the next cardiac rhythm check compared to continuing CPR for 2 min. Avoiding temporal targets whenever possible in guidelines relating to stressful events appears advisable., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

Aim: Prognostic uncertainty and surrogate decision-making demands associated with prolonged unconsciousness in out-of hospital cardiac arrest (OHCA) patients in the intensive care unit (ICU) may increase post-traumatic stress disorder (PTSD) risk in their relatives. Our aim was to study PTSD frequency and risk factors in relatives of OHCA patients., Methods: In this observational study 101 consecutive eligible adult relatives of OHCA patients were interviewed using validated questionnaires, the "Impact of Event Scale-Revised" to detect PTSD and the "Family-Satisfaction with Care in the ICU" to assess potential PTSD risk factors., Results: PTSD was detected in 40/101 relatives (40%). Multivariate logistic regression identified three significant PTSD predictors [odds ratio, 95% confidence interval]: female gender [3.30, 1.08-10.11], history of depression [3.63, 1.02-12.96], family perception of the patient's therapy as insufficient [18.40, 1.52-224.22]. Three other predictors were not significantly associated with PTSD (hypothermia treatment of the patient [2.86, 0.96-8.48]), delayed delivery of prognostic information by ICU staff [2.11, 0.83-5.38], family-ICU staff conflict [3.61, 0.71-18.40]). A prediction rule including six factors (p<0.15 each) showed high discrimination (area under the receiver-operating characteristic curve 0.74) with a stepwise increase in risk for PTSD from 0% (no risk factor) to 63% (≥3 risk factors). There was no evidence for effect modification either by survival status or neurological outcome., Conclusion: Relatives of OHCA patients treated in the ICU are at increased risk of PTSD, which can be predicted based on six factors, three ICU-related and potentially at least partly modifiable. Further research is needed to validate our findings and to develop strategies to prevent PTSD in OHCA patients' relatives., (Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.)

Aim: Whether mental stress negatively impacts team performance during cardio-pulmonary resuscitation (CPR) remains controversial; this may partly be explained by differences in stress measures used in previous studies. Our aim was to compare self-reported, biochemical and physiological stress measures in regard to CPR performance., Methods: This prospective, observational study was conducted at the simulator center of the University Hospital Basel, Switzerland. Self-reported (feeling stressed and overwhelmed [stress/overload]), biochemical (plasma cortisol) and physiological (heart rate, heart rate variability) stress measures were assessed in 28 residents (teams of 2) before, during and after resuscitation. Team performance was defined as time to start CPR and hands-on time during the first 180 s., Results: At baseline, significant negative correlations of heart rate variability with stress/overload and heart rate, as well as positive correlations of heart rate and cortisol were found. During resuscitation, self-reported, biochemical and physiological stress measures did not correlate significantly. There was no association of baseline stress measures with performance. During CPR, stress/overload was significantly associated with time to start CPR (regression coefficient 12.01 (95% CI 0.65, 23.36), p=0.04), while heart rate was negatively associated with time to start CPR (regression coefficient -0.78 (95% CI -1.44, -0.11), p=0.027) and positively with hands-on time (regression coefficient 2.22 (95% CI 0.53, 3.92), p=0.015)., Conclusions: Self-reported stress (stress/overload) was the only predictor for low CPR performance. Biochemical measures showed no association, and physiological measures (heart rate) showed an inverse association, which may be due to physical activity, limiting its value as a mental stress marker in this acute setting., (Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.)