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Refractory Out of Hospital Cardiac Arrest (r-OHCA) is common and the benefit versus harm of intra-arrest transport of patients to hospital is not clear. To assess the rate of survival to hospital discharge in adult patients with r-OHCA, initial rhythm pulseless ventricular tachycardia (VT)/ventricular fibrillation (VF) or Pulseless Electrical Activity (PEA) treated with 1 of 2 locally accepted standards of care:1 expedited transport from scene; or2 ongoing advanced life support (ALS) resuscitation on-scene. We hypothesize that expedited transport from scene in r-OHCA improves survival with favorable neurological status/outcome. Phase III, multi-center, partially blinded, prospective, intention-to-treat, safety and efficacy clinical trial with contemporaneous registry of patient ineligible for the clinical trial. Eligible patients for inclusion are adults with witnessed r-OHCA; estimated age 18 to 70, assumed medical cause with immediate bystander cardiopulmonary resuscitation (CPR); initial rhythm of VF/pulseless VT, or PEA; no return of spontaneous circulation following 3 shocks and/or 15 minutes of professional on-scene resuscitation; with mechanical CPR available. Two hundred patients will be randomized in a 1:1 ratio to either expedited transport from scene or ongoing ALS at the scene of cardiac arrest. Two urban regions in NSW Australia. Primary: survival to hospital discharge with cerebral performance category (CPC) 1 or 2. Secondary: safety, survival, prognostic factors, use of ECMO supported CPR and functional assessment at hospital discharge and 4 weeks and 6 months, quality of life, healthcare use and cost-effectiveness. The EVIDENCE trial will determine the potential risks and benefits of an expedited transport from scene of cardiac arrest.

Background Previous studies have reported high prognostic accuracy of circulating neurofilament light (NfL) at 24–72 h after out-of-hospital cardiac arrest (OHCA), but performance at earlier time points and after in-hospital cardiac arrest (IHCA) is less investigated. We aimed to assess plasma NfL during the first 48 h after OHCA and IHCA to predict long-term outcomes. Methods Observational multicentre cohort study in adults admitted to intensive care after cardiac arrest. NfL was retrospectively analysed in plasma collected on admission to intensive care, 12 and 48 h after cardiac arrest. The outcome was assessed at two to six months using the Cerebral Performance Category (CPC) scale, where CPC 1–2 was considered a good outcome and CPC 3–5 a poor outcome. Predictive performance was measured with the area under the receiver operating characteristic curve (AUROC). Results Of 428 patients, 328 (77%) suffered OHCA and 100 (23%) IHCA. Poor outcome was found in 68% of OHCA and 55% of IHCA patients. The overall prognostic performance of NfL was excellent at 12 and 48 h after OHCA, with AUROCs of 0.93 and 0.97, respectively. The predictive ability was lower after IHCA than OHCA at 12 and 48 h, with AUROCs of 0.81 and 0.86 ( p  ≤ 0.03). AUROCs on admission were 0.77 and 0.67 after OHCA and IHCA, respectively. At 12 and 48 h after OHCA, high NfL levels predicted poor outcome at 95% specificity with 70 and 89% sensitivity, while low NfL levels predicted good outcome at 95% sensitivity with 71 and 74% specificity and negative predictive values of 86 and 88%. Conclusions The prognostic accuracy of NfL for predicting good and poor outcomes is excellent as early as 12 h after OHCA. NfL is less reliable for the prediction of outcome after IHCA.

To evaluate the survival rates with favorable neurological outcomes among patients who experienced in-hospital cardiac arrest (IHCA) and out-of-hospital cardiac arrest (OHCA). This prospective cohort study assessed 554 adult patients with IHCA or OHCA referred to Hamad General Hospital, Qatar, between February 2015 and November 2021. Neurologic outcomes were measured using the Cerebral Performance Category (CPC) score. Survival rate and neurologic status were re-evaluated at 28 days, hospital discharge, and one year after cardiac arrest (CA). For all participants, the hospital discharge and one-year survival rates with a favorable neurological outcome (CPC ≤ 2) were 18.5 % and 19.5 %, respectively. Specifically, among patients with IHCA, the rates were 20.5 % and 19 %, while in patients with OHCA, the rates were 16.4 % and 19.9 %, respectively. Multivariate regression analysis indicated that factors male sex (OR: 2.129, 95 % CI: 1.168–3.881, P = 0.014), initial shockable rhythm (OR: 1.691, 95 % CI: 1.024–2.788, P = 0.041), and the use of ECPR (OR: 1.944, 95 % CI: 1.178–3.209, P = 0.009) were associated with increased likelihood of survival with favorable neurological outcomes at 28 days. Conversely, older age, presence of comorbidities, infection, higher APACHE II score, longer hospital stays, and undergoing tracheostomy were linked to decreased chances of survival with favorable neurological outcomes at different time points. Survival with good neurological outcomes after OHCA was 20.3 %, 16.4 %, and 19.9 % at 28 days, hospital discharge, and one year, respectively. Among patients with IHCA, survival with good neurological outcomes was 20.5 %, 20.5 %, and 19 % at 28 days, hospital discharge, and one year, respectively. Care of CA patients in a cardiac arrest center is associated with improved long-term survival with favorable neurological outcomes. Prioritizing early intervention for shockable rhythms and utilizing ECPR where appropriate could enhance patient prognosis.

Background Sudden cardiac arrest represents a global health challenge characterized by high mortality and morbidity rates. Extracorporeal cardiopulmonary resuscitation (ECPR) is increasingly considered as an effective treatment for cardiac arrest; however, its application remains a subject of debate. Furthermore, limited studies have analysed out-of-hospital cardiac arrest (OHCA) and in-hospital cardiac arrest (IHCA) populations within the same context. Methods This study involved the selection of patients who experienced cardiac arrests and were supported by ECPR in 939 tertiary hospitals across 31 provinces between 2016 and 2021. The data was derived from the ECMO Quality Improvement Project. Results Among the 939 tertiary hospitals, a total of 6374 patients who had cardiac arrest events were identified, categorized as OHCA (1465) and IHCA (4909). Survivors in the IHCA group were comparatively younger (50 [IQR: 33–62] vs. 53 [IQR: 38–64], p  < 0.001) and more likely to be female (34.2% vs. 29.8%, p  < 0.05), while in the OHCA group, survivor characteristics remained similar. Multivariable modelling indicated that in the IHCA group, age ≥ 60, regions with lower GDP, acute respiratory distress syndrome (ARDS), sepsis, electrolyte disturbance, hypertension, acute renal failure, and disseminated intravascular coagulation (DIC) were identified as independent risk factors associated with hospital mortality. Conversely, being female, experiencing arrhythmia, myocarditis, and acute heart failure were identified as protective factors. In the OHCA group, independent risk factors included regions with lower GDP, hypertension, and DIC, while arrhythmia, myocarditis, ARDS, and acute heart failure were protective factors. Conclusions This nationwide prospective observational study provides insights into the utilization of ECPR among patients experiencing OHCA and IHCA. It also underscores the disparity in risk factors and outcomes between OHCA and IHCA populations, indicating differences in clinical practices. Notably, DIC is recognized as a risk factor associated with mortality. Although the exact mechanism remains unclear, it is recommended as a screening indicator for risk stratification. Clinical trial number Not applicable.

Background Extracorporeal cardiopulmonary resuscitation (ECPR) is an established rescue therapy for both out-of-hospital cardiac arrest (OHCA) and in-hospital cardiac arrest (IHCA). However, there remains significant heterogeneity in populations and outcomes across different studies. The primary aim of this study was to compare commonly used selection criteria and their effect on survival and utilisation in an Australian ECPR cohort. Methods We performed a retrospective, observational study of three established ECPR centres in Australia, including cases from 1 January 2013 to 31 December 2020 to establish the baseline cohort. We applied five commonly used ECPR selection criteria, ranging from restrictive to liberal. Results The baseline cohort included 199 ECPR cases: 95 OHCA and 104 IHCA patients. Survival to hospital discharge was 20% for OHCA and 41.4% for IHCA. For OHCA patients, strictly applying the most restrictive criteria would have resulted in the highest survival rate 7/16 (43.8%) compared to the most liberal criteria 16/73 (21.9%). However, only 16/95 (16.8%) in our cohort strictly met the most restrictive criteria versus 73/95 (76.8%) with the most liberal criteria. Similarly, in IHCA, the most restrictive criteria would have resulted in a higher survival rate in eligible patients 10/15 (66.7%) compared to 27/59 (45.8%) with the most liberal criteria. With all criteria a large portion of survivors in IHCA would not have been eligible for ECMO if strictly applying criteria, 33/43 (77%) with restrictive and 16/43 (37%) with the most liberal criteria. Conclusions Adherence to different selection criteria impacts both the ECPR survival rate and the total number of survivors. Commonly used selection criteria may be unsuitable to select IHCA ECPR patients.

Out-of-hospital cardiac arrest (OHCA) survival differences due to sex remain controversial. Previous studies adjusted for prehospital variables, but not sex-based in-hospital management disparities. We aimed to investigate age and sex-related differences in survival outcomes in OHCA patients after adjustment for sex-based in-hospital management disparities. This retrospective observational study used a prospective multicenter OHCA registry to review data of patients from October 2015 to December 2020. The primary outcome was good neurological outcome defined as cerebral performance category score 1 or 2. We performed multivariable logistic regression and restricted cubic spline analysis according to age. Totally, 8988 patients were analyzed. Women showed poorer prehospital characteristics and received fewer coronary angiography, percutaneous coronary interventions, targeted temperature management, and extracorporeal membrane oxygenation than men. Good neurological outcomes were lower in women than in men (5.8% vs. 12.2%, p < 0.001). After adjustment for age, prehospital variables, and in-hospital management, women were more likely to have good neurological outcomes than men (adjusted odds ratio [aOR] 1.37, 95% confidence interval [CI] 1.07–1.74, p = 0.012). The restricted cubic spline curve showed a reverse sigmoid pattern of adjusted predicted probability of outcomes and dynamic associations of sex and age-based outcomes. Women with OHCA were more likely to have good neurological outcome after adjusting for age, prehospital variables, and sex-based in-hospital management disparities. There were non-linear associations between sex and survival outcomes according to age and age-related sex-based differences.

Out-of-hospital cardiac arrest (OHCA) outcomes are unsatisfactory despite postcardiac arrest care. Early prediction of prognoses might help stratify patients and provide tailored therapy. In this study, we derived and validated a novel scoring system to predict hypoxic-ischemic brain injury (HIBI) and in-hospital death (IHD). We retrospectively analyzed Korean Hypothermia Network prospective registry data collected from in Korea between 2015 and 2018. Patients without neuroprognostication data were excluded, and the remaining patients were randomly divided into derivation and validation cohorts. HIBI was defined when at least one prognostication predicted a poor outcome. IHD meant all deaths regardless of cause. In the derivation cohort, stepwise multivariate logistic regression was conducted for the HIBI and IHD scores, and model performance was assessed. We then classified the patients into four categories and analyzed the associations between the categories and cerebral performance categories (CPCs) at hospital discharge. Finally, we validated our models in an internal validation cohort. Among 1373 patients, 240 were excluded, and 1133 were randomized into the derivation (n = 754) and validation cohorts (n = 379). In the derivation cohort, 7 and 8 predictors were selected for HIBI (0–8) and IHD scores (0−11), respectively, and the area under the curves (AUC) were 0.85 (95% CI 0.82–0.87) and 0.80 (95% CI 0.77–0.82), respectively. Applying optimum cutoff values of ≥6 points for HIBI and ≥7 points for IHD, the patients were classified as follows: HIBI (−)/IHD (−), Category 1 (n = 424); HIBI (−)/IHD (+), Category 2 (n = 100); HIBI (+)/IHD (−), Category 3 (n = 21); and HIBI (+)/IHD (+), Category 4 (n = 209). The CPCs at discharge were significantly different in each category (p < 0.001). In the validation cohort, the model showed moderate discrimination (AUC 0.83, 95% CI 0.79–0.87 for HIBI and AUC 0.77, 95% CI 0.72–0.81 for IHD) with good calibration. Each category of the validation cohort showed a significant difference in discharge outcomes (p < 0.001) and a similar trend to the derivation cohort. We presented a novel approach for assessing illness severity after OHCA. Although external prospective studies are warranted, risk stratification for HIBI and IHD could help provide OHCA patients with appropriate treatment.

Background The impact of the chronological sequence of events, including cardiac arrest (CA), initial cardiopulmonary resuscitation (CPR), return of spontaneous circulation (ROSC), and extracorporeal cardiopulmonary resuscitation (ECPR) implementation, on clinical outcomes in patients with both out-of-hospital cardiac arrest (OHCA) and in-hospital cardiac arrest (IHCA), is still not clear. The aim of this study was to investigate the prognostic effects of the time interval from collapse to start of CPR (no-flow time, NFT) and the time interval from start of CPR to implementation of ECPR (low-flow time, LFT) on patient outcomes under Extracorporeal Membrane Oxygenation (ECMO). Methods This single-center, retrospective observational study was conducted on 48 patients with OHCA or IHCA who underwent ECMO at Hamad General Hospital (HGH), the tertiary governmental hospital of Qatar, between February 2016 and March 2020. We investigated the impact of prognostic factors such as NFT and LFT on various clinical outcomes following cardiac arrest, including 24-hour survival, 28-day survival, CPR duration, ECMO length of stay (LOS), ICU LOS, hospital LOS, disability (assessed using the modified Rankin Scale, mRS), and neurological status (evaluated based on the Cerebral Performance Category, CPC) at 28 days after the CA. Results The results of the adjusted logistic regression analysis showed that a longer NFT was associated with unfavorable clinical outcomes. These outcomes included longer CPR duration (OR: 1.779, 95%CI: 1.218–2.605, P  = 0.034) and decreased survival rates for ECMO at 24 h (OR: 0.561, 95%CI: 0.183–0.903, P  = 0.009) and 28 days (OR: 0.498, 95%CI: 0.106–0.802, P  = 0.011). Additionally, a longer LFT was found to be associated only with a higher probability of prolonged CPR (OR: 1.818, 95%CI: 1.332–3.312, P  = 0.006). However, there was no statistically significant connection between either the NFT or the LFT and the improvement of disability or neurologically favorable survival after 28 days of cardiac arrest. Conclusions Based on our findings, it has been determined that the NFT is a more effective predictor than the LFT in assessing clinical outcomes for patients with OHCA or IHCA who underwent ECMO. This understanding of their distinct predictive abilities enables medical professionals to identify high-risk patients more accurately and customize their interventions accordingly.

Background The purpose was to evaluate glial fibrillary acidic protein (GFAP) and total-tau in plasma as predictors of poor neurological outcome after out-of-hospital (OHCA) and in-hospital cardiac arrest (IHCA), including comparisons with neurofilament light (NFL) and neuron-specific enolase (NSE). Methods Retrospective multicentre observational study of patients admitted to an intensive care unit (ICU) in three hospitals in Sweden 2014–2018. Blood samples were collected at ICU admission, 12 h, and 48 h post-cardiac arrest. Poor neurological outcome was defined as Cerebral Performance Category 3–5 at 2–6 months after cardiac arrest. Plasma samples were retrospectively analysed for GFAP, tau, and NFL. Serum NSE was analysed in clinical care. Prognostic performances were tested with the area under the receiver operating characteristics curve (AUC). Results Of the 428 included patients, 328 were OHCA, and 100 were IHCA. At ICU admission, 12 h and 48 h post-cardiac arrest, GFAP predicted neurological outcome after OHCA with AUC (95% CI) 0.76 (0.70–0.82), 0.86 (0.81–0.90) and 0.91 (0.87–0.96), and after IHCA with AUC (95% CI) 0.77 (0.66–0.87), 0.83 (0.74–0.92) and 0.83 (0.71–0.95). At the same time points, tau predicted outcome after OHCA with AUC (95% CI) 0.72 (0.66–0.79), 0.75 (0.69–0.81), and 0.93 (0.89–0.96) and after IHCA with AUC (95% CI) 0.61 (0.49–0.74), 0.68 (0.56–0.79), and 0.77 (0.65–0.90). Adding the change in biomarker levels between time points did not improve predictive accuracy compared to the last time point. In a subset of patients, GFAP at 12 h and 48 h, as well as tau at 48 h, offered similar predictive value as NSE at 48 h (the earliest time point NSE is recommended in guidelines) after both OHCA and IHCA. The predictive performance of NFL was similar or superior to GFAP and tau at all time points after OHCA and IHCA. Conclusion GFAP and tau are promising biomarkers for neuroprognostication, with the highest predictive performance at 48 h after OHCA, but not superior to NFL. The predictive ability of GFAP may be sufficiently high for clinical use at 12 h after cardiac arrest.

Background Emergency department overcrowding negatively impacts critically ill patients and could lead to the occurrence of cardiac arrest. However, the association between emergency department crowding and the occurrence of in-hospital cardiac arrest has not been thoroughly investigated. This study aimed to evaluate the correlation between emergency department occupancy rates and the incidence of in-hospital cardiac arrest. Methods A single-center, observational, registry-based cohort study was performed including all consecutive adult, non-traumatic in-hospital cardiac arrest patients between January 2014 and June 2017. We used emergency department occupancy rates as a crowding index at the time of presentation of cardiac arrest and at the time of maximum crowding, and the average crowding rate for the duration of emergency department stay for each patient. To calculate incidence rate, we divided the number of arrest cases for each emergency department occupancy period by accumulated time. The primary outcome is the association between the incidence of in-hospital cardiac arrest and emergency department occupancy rates. Results During the study period, 629 adult, non-traumatic cardiac arrest patients were enrolled in our registry. Among these, 187 patients experienced in-hospital cardiac arrest. Overall survival discharge rate was 24.6%, and 20.3% of patients showed favorable neurologic outcomes at discharge. Emergency department occupancy rates were positively correlated with in-hospital cardiac arrest occurrence. Moreover, maximum emergency department occupancy in the critical zone had the strongest positive correlation with in-hospital cardiac arrest occurrence (Spearman rank correlation ρ  = 1.0, P  < .01). Meanwhile, occupancy rates were not associated with the ED mortality. Conclusion Maximum emergency department occupancy was strongly associated with in-hospital cardiac arrest occurrence. Adequate monitoring and managing the maximum occupancy rate would be important to reduce unexpected cardiac arrest.