Incidence, treatment, and factors associated with survival of out-of-hospital cardiac arrest attended by Spanish emergency services: report from the Out-of-Hospital Spanish Cardiac Arrest Registry for 2022. / Incidencia, tratamiento y factores asociados con la supervivencia de la parada cardiaca extrahospitalaria atendida por los servicios de emergencias en España: informe 2022 del registro OHSCAR.

SUMMARY: Out-of-hospital cardiac arrest is a serious public health problem worldwide. The annual incidence is estimated at around 400 000 cases in Europe and the United States, and survival rates scarcely reach 10%. However, there is considerable variation between countries and even between regions that share a similar health care system within a single country. Information recorded by the Out-of-Hospital Spanish Cardiac Arrest Registry (OHSCAR) provides information on care provided by emergency ambulance services, final health outcomes after cardiac arrest cases (including variations), the possibility of organ donation, and the impact of the COVID-19 pandemic. This paper presents the OHSCAR report for Spanish emergency services for the year 2022.

RESUMEN: La parada cardiorrespiratoria extrahospitalaria (PCREH) es un grave problema de salud pública mundial, con una incidencia anual estimada entorno a entorno a los 350.000 y 400.000 casos de PCERH en Europa y Estados Unidos, respectivamente. La supervivencia final se sitúa en porcentajes que apenas alcanzan el 10%, aunque existe una importante variabilidad entre países e incluso entre regiones del mismo país con modelos de atención similares. En España, el Registro Español de Parada Cardiaca Extrahospitalaria (acrónimo OHSCAR) ha ofrecido información sobre la asistencia a la PCRE prestada por los servicios de emergencias (SEM) y sus resultados finales en salud, así como sobre variabilidad, posibilidades de programas de donación o impacto de la pandemia COVID-19. A continuación se presenta el informe OHSCAR correspondiente a la asistencia a la PCRE por los SEM españoles durante el año 2022.

Plasma glial fibrillary acidic protein and tau: predictors of neurological outcome after cardiac arrest.

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.

Performance of postmortem CT in the diagnosis of natural death from out-of-hospital cardiac arrest.

PURPOSE: Postmortem CT (PMCT) is used widely to identify the cause of death. However, its diagnostic performance in cases of natural death from out-of-hospital cardiac arrest (OHCA) may be unsatisfactory because the cause tends to be cardiogenic and cannot be detected on PMCT images. We retrospectively investigated the diagnostic performance of PMCT in the diagnosis of natural death from OHCA and compared it to that of unnatural death. MATERIALS AND METHODS: Our series included 450 cases; 336 were natural- and 114 were unnatural death cases. Between 2018 and 2022 all underwent non-contrast PMCT to identify the cause of death. Two radiologists reviewed the PMCT images and categorized them as diagnostic (PMCT alone sufficient to determine the cause of death), suggestive (the cause of death was suggested but additional information was needed), and non-diagnostic (the cause of death could not be determined on PMCT images). The diagnostic performance of PMCT was defined by the percentage of diagnosable and suggestive cases and compared between natural- and unnatural death cases. Interobserver agreement for the cause of death on PMCT images was also assessed with the Cohen kappa coefficient of concordance. RESULTS: The diagnostic performance of PMCT for the cause of natural- and unnatural deaths from OHCA was 30.3% and 66.6%, respectively (p < 0.01). The interobserver agreement for the cause of natural- and unnatural deaths on PMCT images was very good with kappa value 0.92 and 0.96, respectively. CONCLUSION: As PMCT identified the cause of natural death by OHCA in only 30% of cases, its diagnostic performance must be improved.

A national multi centre pre-hospital ECPR stepped wedge study; design and rationale of the ON-SCENE study.

BACKGROUND: The likelihood of return of spontaneous circulation with conventional advanced life support is known to have an exponential decline and therefore neurological outcome after 20 min in patients with a cardiac arrest is poor. Initiation of venoarterial ExtraCorporeal Membrane Oxygenation (ECMO) during resuscitation might improve outcomes if used in time and in a selected patient category. However, previous studies have failed to significantly reduce the time from cardiac arrest to ECMO flow to less than 60 min. We hypothesize that the initiation of Extracorporeal Cardiopulmonary Resuscitation (ECPR) by a Helicopter Emergency Medical Services System (HEMS) will reduce the low flow time and improve outcomes in refractory Out of Hospital Cardiac Arrest (OHCA) patients. METHODS: The ON-SCENE study will use a non-randomised stepped wedge design to implement ECPR in patients with witnessed OHCA between the ages of 18-50 years old, with an initial presentation of shockable rhythm or pulseless electrical activity with a high suspicion of pulmonary embolism, lasting more than 20, but less than 45 min. Patients will be treated by the ambulance crew and HEMS with prehospital ECPR capabilities and will be compared with treatment by ambulance crew and HEMS without prehospital ECPR capabilities. The primary outcome measure will be survival at hospital discharge. The secondary outcome measure will be good neurological outcome defined as a cerebral performance categories scale score of 1 or 2 at 6 and 12 months. DISCUSSION: The ON-SCENE study focuses on initiating ECPR at the scene of OHCA using HEMS. The current in-hospital ECPR for OHCA obstacles encompassing low survival rates in refractory arrests, extended low-flow durations during transportation, and the critical time sensitivity of initiating ECPR, which could potentially be addressed through the implementation of the HEMS system. When successful, implementing on-scene ECPR could significantly enhance survival rates and minimize neurological impairment. TRIAL REGISTRATION: Clinicaltyrials.gov under NCT04620070, registration date 3 November 2020.

Cardiac arrest, stony heart, and cardiopulmonary resuscitation: An updated revisit.

The post-resuscitation period is recognized as the main predictor of cardiopulmonary resuscitation (CPR) outcomes. The first description of post-resuscitation syndrome and stony heart was published over 50 years ago. Major manifestations may include but are not limited to, persistent precipitating pathology, systemic ischemia/reperfusion response, post-cardiac arrest brain injury, and finally, post-cardiac arrest myocardial dysfunction (PAMD) after successful resuscitation. Why do some patients initially survive successful resuscitation, and others do not? Also, why does the myocardium response vary after resuscitation? These questions have kept scientists busy for several decades since the first successful resuscitation was described. By modifying the conventional modalities of resuscitation together with new promising agents, rescuers will be able to salvage the jeopardized post-resuscitation myocardium and prevent its progression to a dismal, stony heart. Community awareness and staff education are crucial for shortening the resuscitation time and improving short- and long-term outcomes. Awareness of these components before and early after the restoration of circulation will enhance the resuscitation outcomes. This review extensively addresses the underlying pathophysiology, management, and outcomes of post-resuscitation syndrome. The pattern, management, and outcome of PAMD and post-cardiac arrest shock are different based on many factors, including in-hospital cardiac arrest vs out-of-hospital cardiac arrest (OHCA), witnessed vs unwitnessed cardiac arrest, the underlying cause of arrest, the duration, and protocol used for CPR. Although restoring spontaneous circulation is a vital sign, it should not be the end of the game or lone primary outcome; it calls for better understanding and aggressive multi-disciplinary interventions and care. The development of stony heart post-CPR and OHCA remain the main challenges in emergency and critical care medicine.

The i-gel® supraglottic airway device compared to endotracheal intubation as the initial prehospital advanced airway device: A natural experiment during the COVID-19 pandemic.

Objective: Unlike randomized controlled trials, practical real-world studies can offer important information about implementation of prehospital interventions, particularly in community settings where there may be reluctance to adopt new practices. We present the results of a natural experiment that was driven by mandated COVID-19 pandemic-driven shift from endotracheal intubation (ETI) to the i-gel® supraglottic airway (SGA) as a primary advanced airway management device in the prehospital setting to reduce emergency medical services (EMS) personnel exposure to potentially infectious secretions. The objective was to compare first-pass success and timing to successful airway placement between ETI and the i-gel® SGA under extenuating circumstances. Methods: This pre/post study compared airway placement metrics in prehospital patients requiring advance airway management for non-trauma-related conditions. Data from EMS records were extracted over 2 years, 12 months pre-pandemic, and 12 months post-pandemic. During the pre-COVID-19 year, the EMS protocols utilized ETI as the primary advanced airway device (ETI group). Post-pandemic paramedics were mandated to utilize i-gel® SGA as the primary advanced airway device to reduce exposure to secretions (SGA group). Results: There were 199 adult patients, 83 (42%) in the ETI group and 116 (58%) in the SGA group. First-pass success was significantly higher with SGA 96% (92%-99%) than ETI 68% (57%-78%) with paramedics citing the inability to visualize the airway in 52% of ETI cases. Time to first-pass success was significantly shorter in the SGA group (5.9 min [5.1-6.7 min]) than in the ETI group (8.3 min [6.9-9.6 min]), as was time to overall successful placement at 6.0 min (5.1-6.8 min) versus 9.6 min (8.2-11.1 min), respectively. Multiple placement attempts were required in 26% of ETI cases and 1% of the SGA cases. There were no statistically significant differences in the number and types of complications between the cohorts. Return of spontaneous circulation (on/before emergency department [ED] arrival), mortality at 28 days, intensive care unit length of stay, or ventilator-free days between the groups were not statistically different between the groups. Conclusion: In this natural experiment, the SGA performed significantly better than ETI in first-pass airway device placement success and was significantly faster in achieving first-pass success, and overall airway placement, thus potentially reducing exposure to respiratory pathogens. Practical real-world studies can offer important information about implementation of prehospital interventions, particularly in community settings and in systems with a low frequency of tracheal intubations.

Association between gasping and survival among out-of-hospital cardiac arrest patients undergoing extracorporeal cardiopulmonary resuscitation: The SOS-KANTO 2017 study.

Aim: This study aimed to assess the association between gasping and survival among out-of-hospital cardiac arrest (OHCA) patients requiring extracorporeal cardiopulmonary resuscitation (ECPR). Methods: This prospective, multicenter, observational study was conducted between 2019 and 2021. We categorized adult patients requiring ECPR into those with or without gasping prior to hospital arrival. The primary outcome was the 30-day survival. We performed multivariable logistic regression analyses fitted with generalized estimating equations and subgroup analyses based on the initial rhythm and age. Results: Of the 9,909 patients with OHCA requiring ECPR, 332 were enrolled in the present study, including 92 (27.7%) and 240 (72.3%) with and without gasping, respectively. The 30-day survival was higher in patients with gasping than in those without gasping (35.9% [33/92] vs. 16.2% [39/240]). In the logistic regression analysis, gasping was significantly associated with improved 30-day survival (adjusted odds ratio: 3.01; 95% confidence interval, 1.64-5.51). Subgroup analyses demonstrated similar trends in patients with an initial non-shockable rhythm and older age. Conclusions: Gasping was associated with improved survival in OHCA patients requiring ECPR, even those with an initial non-shockable rhythm and older age. Clinicians may select the candidates for ECPR appropriately based on the presence of gasping.

Metrics of impulsiveness of manual chest compressions for out-of-hospital cardiopulmonary resuscitation.

Aim: Propose new metrics of impulsiveness of manual chest compressions (CCs) that account for shape and duration, separate the characteristics of the compressive part of the CC cycle from those of the recoil part, and are uncorrelated to CC depth and rate. Methods: We conducted a retrospective analysis of adult out-of-hospital cardiac arrest monitor-defibrillator recordings having CPR data. Specifically, episodes of adult patients with ≥ 1000 compressions free of leaning were examined. CCs were obtained from the depth signal of the valid episodes, and we calculated the novel metrics: compression area index (CAI), recoil area index (RAI), compression impulsiveness index (CII) and recoil impulsiveness index (RII). Generalized linear mixed-effects models and Jonckheere-Terpstra trend analyses were employed to measure differences between populations and trends, and the absolute value of Pearson's correlation coefficient |r| was used to report dependence between variables. Statistics are reported as median and interquartile range. Results: We analyzed 982,340 CCs corresponding to 453 episodes, for which we calculated their CAI, RAI and duty cycle (DC). We analyzed the metrics for various populations: age, sex, any ROSC achieved and disposition, and found that CAI was significantly different according to patient disposition and RAI relative to age and sex (p<0.05). None of the metrics was correlated strongly to depth or rate (|r| values of 0.22 or smaller), and all of them varied for CC series corresponding to the same rescuer over the course of resuscitation (ptrend<0.05). However, we observed that the metrics are not balanced, in that for any value of DC, CAI and RAI span almost their entire ranges. Conclusion: The proposed metrics correctly and completely describe manual CC waveforms, improve upon the DC, since they depend on the signal waveform, and provide additional information to current indicators of quality CPR, depth and rate. Furthermore, they allow to differentiate the compressive and recoil parts of the CC cycle, reflecting influence of the rescuer (via CAI or CII) and of the biomechanics of the patient's chest (via RAI or RII). Thus, they have the potential to contribute to better understanding CPR dynamics and, eventually, to enhanced quality of CPR practice as additional indicators of proper manual CC technique.

Effect of intra-arrest transport, extracorporeal cardiopulmonary resuscitation and immediate invasive assessment in refractory out-of-hospital cardiac arrest: a long-term follow-up of the Prague OHCA trial.

BACKGROUND: Randomized data evaluating the impact of the extracorporeal cardiopulmonary resuscitation (ECPR) approach on long-term clinical outcomes in patients with refractory out-of-hospital cardiac arrest (OHCA) are lacking. The objective of this follow-up study was to assess the long-term clinical outcomes of the ECPR-based versus CCPR approach. METHODS: The Prague OHCA trial was a single-center, randomized, open-label trial. Patients with witnessed refractory OHCA of presumed cardiac origin, without return of spontaneous circulation, were randomized during ongoing resuscitation on scene to conventional CPR (CCPR) or an ECPR-based approach (intra-arrest transport, ECPR if ROSC is not achieved prehospital and immediate invasive assessment). RESULTS: From March 2013 to October 2020, 264 patients were randomized during ongoing resuscitation on scene, and 256 patients were enrolled. Long-term follow-up was performed 5.3 (interquartile range 3.8-7.2) years after initial randomization and was completed in 255 of 256 patients (99.6%). In total, 34/123 (27.6%) patients in the ECPR-based group and 26/132 (19.7%) in the CCPR group were alive (log-rank P = 0.01). There were no significant differences between the treatment groups in the neurological outcome, survival after hospital discharge, risk of hospitalization, major cardiovascular events and quality of life. Of long-term survivors, 1/34 (2.9%) in the ECPR-based arm and 1/26 (3.8%) in the CCPR arm had poor neurological outcome (both patients had a cerebral performance category score of 3). CONCLUSIONS: Among patients with refractory OHCA, the ECPR-based approach significantly improved long-term survival. There were no differences in the neurological outcome, major cardiovascular events and quality of life between the groups, but the trial was possibly underpowered to detect a clinically relevant difference in these outcomes. Trial registration ClinicalTrials.gov Identifier: NCT01511666, Registered 19 January 2012.

Outcome prediction of cardiac arrest with automatically computed gray-white matter ratio on computed tomography images.

BACKGROUND: This study aimed to develop an automated method to measure the gray-white matter ratio (GWR) from brain computed tomography (CT) scans of patients with out-of-hospital cardiac arrest (OHCA) and assess its significance in predicting early-stage neurological outcomes. METHODS: Patients with OHCA who underwent brain CT imaging within 12 h of return of spontaneous circulation were enrolled in this retrospective study. The primary outcome endpoint measure was a favorable neurological outcome, defined as cerebral performance category 1 or 2 at hospital discharge. We proposed an automated method comprising image registration, K-means segmentation, segmentation refinement, and GWR calculation to measure the GWR for each CT scan. The K-means segmentation and segmentation refinement was employed to refine the segmentations within regions of interest (ROIs), consequently enhancing GWR calculation accuracy through more precise segmentations. RESULTS: Overall, 443 patients were divided into derivation N=265, 60% and validation N=178, 40% sets, based on age and sex. The ROI Hounsfield unit values derived from the automated method showed a strong correlation with those obtained from the manual method. Regarding outcome prediction, the automated method significantly outperformed the manual method in GWR calculation (AUC 0.79 vs. 0.70) across the entire dataset. The automated method also demonstrated superior performance across sensitivity, specificity, and positive and negative predictive values using the cutoff value determined from the derivation set. Moreover, GWR was an independent predictor of outcomes in logistic regression analysis. Incorporating the GWR with other clinical and resuscitation variables significantly enhanced the performance of prediction models compared to those without the GWR. CONCLUSIONS: Automated measurement of the GWR from non-contrast brain CT images offers valuable insights for predicting neurological outcomes during the early post-cardiac arrest period.

Accuracy of etiological classification of out-of-hospital cardiac arrest: A scoping review.

INTRODUCTION: The Utstein reporting template classifies the etiology of OHCA into "presumed cardiac" and "obvious non-cardiac" or "medical" and "non-medical" categories; however, the accuracy of these classifications is unclear. Ascertaining more accurately the etiology of OHCA is important to tailor advanced life support and identify etiologically consistent patient cohorts for reporting incidence and outcome and enrollment in clinical trials. This scoping review was proposed to identify the state of agreement on etiological classification based on emergency medical service (EMS) data using the Utstein format against other sources. METHOD: We searched Medline, EBM-Cochrane, and Embase databases from 1946-2023 to identify studies that reported initial and confirmed etiologies of OHCA. A descriptive review of the included studies was conducted. RESULT: The search yielded 22,994 citations. After excluding duplicates, 16,932 citations were reviewed for titles and abstracts. Twelve studies met the inclusion criteria of this review. The frequency of presumed cardiac etiologies based on EMS data was higher than confirmed cardiac etiologies (88% vs 33%) with 83-94% sensitivity and 73-76% specificity. In contrast, the frequency of presumed non-cardiac etiologies was lower than confirmed non-cardiac etiologies (3% vs 27%) with 52-74% sensitivity and 90-97.7% specificity estimated for respiratory disease. CONCLUSION: Major disparities exist between current etiological classifications based on the Utstein reporting template and robust sources such as autopsy and medical records. Data linkage and validation are necessary to confirm the etiology of OHCA. Further research is needed on how this misclassification affects reported incidence and outcomes, and how contributing factors may improve etiological classifications.

Out-of-Hospital Cardiac Arrest.

Survival from out-of-hospital cardiac arrest (OHCA) is predicated on a community and system-wide approach that includes rapid recognition of cardiac arrest, capable bystander CPR, effective basic and advanced life support (BLS and ALS) by EMS providers, and coordinated postresuscitation care. Management of these critically ill patients continues to evolve. This article focuses on the management of OHCA by EMS providers.

Impact of Coronavirus Disease 2019 Pandemic on Cardiac Arrest and Emergency Care.

The incidence of both out-of-hospital and in-hospital cardiac arrest increased during the coronavirus disease 2019 (COVID-19) pandemic. Patient survival and neurologic outcome after both out-of-hospital and in-hospital cardiac arrest were reduced. Direct effects of the COVID-19 illness combined with indirect effects of the pandemic on patient's behavior and health care systems contributed to these changes. Understanding the potential factors offers the opportunity to improve future response and save lives.

Controlled donation after circulatory death in post-cardiac arrest patients: Estimates from a large registry.

BACKGROUND: Controlled donation after circulatory death (cDCD) in post-anoxic brain injury is a valuable source of organs that is still underused in some countries. We assessed the number of potential cDCD donors after out-of-hospital cardiac arrest (OHCA) in Paris and its suburbs and extrapolated the results to the French population. METHODS: Using the large regional registry of the Great Paris area, we prospectively included all consecutive adults with OHCA with a stable return of spontaneous circulation (ROSC) who ultimately died in the intensive care unit (ICU) after withdrawal of life-sustaining treatments (WLST) due to post anoxic brain injury. The primary endpoint was potential for organ donation by cDCD in this population. The number of potential cDCD donors was calculated and extrapolated to the entire French population. RESULTS: Between 2011 and 2018, 4638 patients with stable ROSC were admitted to ICUs after OHCA, and 3170 died in ICU, of which 1034 died after WLST due to post-anoxic brain injury. When considering French criteria, 421/1034 patients (41%) would have been potential cDCD donors (55 patients per year in a 4.67 million population). After standardization for age and sex, the potential for cDCD was 515 (95% CI 471-560) patients per year in France corresponding to an annual incidence of 1.18 per 100 000 inhabitants per year. CONCLUSIONS: Organ donation by cDCD after cardiac arrest could provide a large pool of donors in France.

Mitral annular disjunction in out-of-hospital cardiac arrest patients-a retrospective cardiac MRI study.

BACKGROUND: Mitral annular disjunction (MAD), defined as defective attachment of the mitral annulus to the ventricular myocardium, has recently been linked to malignant arrhythmias. However, its role and prognostic significance in patients requiring cardiopulmonary resuscitation (CPR) remain unknown. This retrospective analysis aimed to describe the prevalence and significance of MAD by cardiac magnetic resonance (CMR) imaging in out-of-hospital cardiac arrest (OHCA) patients. METHODS: Eighty-six patients with OHCA and a CMR scan 5 days after CPR (interquartile range (IQR): 49 days before - 9 days after) were included. MAD was defined as disjunction-extent ≥ 1 mm in CMR long-axis cine-images. Medical records were screened for laboratory parameters, comorbidities, and a history of arrhythmia. RESULTS: In 34 patients (40%), no underlying cause for OHCA was found during hospitalization despite profound diagnostics. Unknown-cause OHCA patients showed a higher prevalence of MAD compared to definite-cause patients (56% vs. 10%, p < 0.001) and had a MAD-extent of 6.3 mm (IQR: 4.4-10.3); moreover, these patients were significantly younger (43 years vs. 61 years, p < 0.001), more often female (74% vs. 21%, p < 0.001) and had fewer comorbidities (hypertension, hypercholesterolemia, coronary artery disease, all p < 0.005). By logistic regression analysis, the presence of MAD remained significantly associated with OHCA of unknown cause (odds ratio: 8.49, 95% confidence interval: 2.37-30.41, p = 0.001) after adjustment for age, presence of hypertension, and hypercholesterolemia. CONCLUSIONS: MAD is rather common in OHCA patients without definitive aetiology undergoing CMR. The presence of MAD was independently associated to OHCA without an identifiable trigger. Further research is needed to understand the exact role of MAD in OHCA patients.

Ongoing CPR with an onboard physician.

Introduction: Recent data are not available on ongoing CPR for emergency services with an onboard physician. The aim of the present study was to identify factors associated with the decision to transport patients to hospital with ongoing CPR and examine their survival to hospital discharge with good neurological status. Methods: An observational study based on a registry of out-of-hospital cardiac arrests attended to by emergency services with an onboard physician. All OHCA cases occurring between the 1st of January and the 31st of December 2022 were included. Patients receiving ongoing CPR during transport to the hospital were compared with patients pronounced dead at the scene following arrival of the care team. The dependent variable was ongoing CPR during transport to the hospital. The main characteristics and the neurological status of patients surviving to discharge were described. Results: A total of 9321 cases were included, of which 350 (3.7%) were transported to hospital with ongoing CPR. Such patients were young (59.9 ± 20.1 years vs 64.6 ± 16.9 years; p < 0.001; 95%CI: 0.98 [0.98; 0.99]) with arrest taking place outside of the home (151 [44.5%] vs 4045 [68.01%]; p < 0.001; 95%CI: 0.41 [0.31; 0.54]) and being witnessed by EMS (126 [36.0%] vs 667 [11.0%]; p < 0.001; 95%CI: 4.31 [3.19; 5.80]), whilst initial rhythm differed from asystole (164 [47.6%] vs 4325 [73.0%]; p < 0.01; 95%CI: 0.44 [0.33; 0.60]) and a mechanical device was more often employed during resuscitation and transport to hospital (199 [56.9%] vs 2050 [33.8%]; p < 0.001; 95%CI: 2.75 [2.10; 3.59]). Seven patients (2%) were discharged alive from hospital, five with ad integrum neurological recovery (CPC1) and two with minimally impaired neurological function (CPC2). Conclusions: The strategy of ongoing CPR is uncommon in EMS with an onboard physician. Despite their limited efficacy, the availability of mechanical chest compression devices, together with the possibility of specific hospital treatments, mainly ICP and ECMO, opens up the possibility of this approach with determined patients.

Resuscitation for out-of-hospital cardiac arrest in Ireland 2012-2020: Modelling national temporal developments and survival predictors.

Aim: To explore potential predictors of national out-of-hospital cardiac arrest (OHCA) survival, including health system developments and the COVID pandemic in Ireland. Methods: National level OHCA registry data from 2012 through to 2020, relating to unwitnessed, and bystander witnessed OHCA were interrogated. Logistic regression models were built by including predictors through stepwise variable selection and enhancing the models by adding pairwise interactions that improved fit. Missing data sensitivity analyses were conducted using multiple imputation. Results: The data included 18,177 cases. The final model included seventeen variables. Of these nine variables were involved in pairwise interactions. The COVID-19 period was associated with reduced survival (OR 0.61, 95%CI 0.43, 0.87), as were increasing age in years (OR 0.96, 95% CI 0.96, 0.97) and call response interval in minutes (OR 0.97, 95% CI 0.96, 0.99). Amiodarone administration (OR 3.91, 95% CI 2.80, 5.48), urban location (OR 1.40, 95% CI 1.12, 1.77), and chronological year over time (OR 1.14, 95% CI 1.08, 1.20) were associated with increased survival. Conclusions: National survival from OHCA has significantly increased incrementally over time in Ireland. The COVID-19 pandemic was associated with decreased survival even after accounting for potential disruption to key elements of bystander and EMS care. Further research is needed to understand and address the discrepancy between urban and rural OHCA survival. Information concerning pre-event patient health status and inpatient care process may yield important additional insights in future.

The German Resuscitation Registry - Epidemiological data for out-of-hospital and in-hospital cardiac arrest.

Introduction: The German Resuscitation Registry was started in 2007 and collects data on out-of-hospital as well as in-hospital cardiac arrest and resuscitation. It has collected more than 400.000 datasets till today. Methods: The German Resuscitation Registry (GRR) is a voluntary quality improvement tool and research tool for out-of-hospital and in-hospital resuscitation as well as in-hospital emergency treatment. It collects data for initial treatment, in-hospital care as well as long-term outcome in an online database. For risk stratification two scores have been developed, published, and implemented. The participants are getting annual and monthly or quarterly reports in addition to the standardized online, 24/7 available analyzing options. An annual public report is published as well. We are reporting on the OHCA annual report of 2022. Results: In 2022 the incidence of CPR started or continued by EMS was 77.6/100.000 inhabitants/year. The mean age was 70.2 years and 66.7% were male bystanders who started CPR in 51.3%. The average response time for the first EMS vehicle to arrive on scene was 6:55 min.In 57.9% of the cases, they had a presumed cardiac cause. The primary outcome, return-of-spontaneous circulation (ROSC) was achieved in 42.1%. Discussion: With its more than 450.000 included datasets, the GRR is an established tool for quality improvement and research in Germany and internationally. The results for the incidence of OHCA and outcome from 2022 are compared to EuReCa TWO data ranging in the upper third of European countries. Furthermore, the GRR has contributed to increasing knowledge of OHCA by conducting and publishing research e.g. on epidemiology, airway management, and medication of OHCA.

Performance of ECG-Derived Digital Biomarker for Screening Coronary Occlusion in Resuscitated Out-of-Hospital Cardiac Arrest Patients: A Comparative Study between Artificial Intelligence and a Group of Experts.

Acute coronary syndrome is a significant part of cardiac etiology contributing to out-of-hospital cardiac arrest (OHCA), and immediate coronary angiography has been proposed to improve survival. This study evaluated the effectiveness of an AI algorithm in diagnosing near-total or total occlusion of coronary arteries in OHCA patients who regained spontaneous circulation. Conducted from 1 July 2019 to 30 June 2022 at a tertiary university hospital emergency department, it involved 82 OHCA patients, with 58 qualifying after exclusions. The AI used was the Quantitative ECG (QCG™) system, which provides a STEMI diagnostic score ranging from 0 to 100. The QCG score's diagnostic performance was compared to assessments by two emergency physicians and three cardiologists. Among the patients, coronary occlusion was identified in 24. The QCG score showed a significant difference between occlusion and non-occlusion groups, with the former scoring higher. The QCG biomarker had an area under the curve (AUC) of 0.770, outperforming the expert group's AUC of 0.676. It demonstrated 70.8% sensitivity and 79.4% specificity. These findings suggest that the AI-based ECG biomarker could predict coronary occlusion in resuscitated OHCA patients, and it was non-inferior to the consensus of the expert group.

A retrospective comparison of mechanical cardio-pulmonary ventilation and manual bag valve ventilation in non-traumatic out-of-hospital cardiac arrests: A study from the Belgian cardiac arrest registry.

BACKGROUND: The optimal ventilation modalities to manage out-of-hospital cardiac arrest (OHCA) remain debated. A specific pressure mode called cardio-pulmonary ventilation (CPV) may be used instead of manual bag ventilation (MBV). We sought to analyse the association between mechanical CPV and return of spontaneous circulation (ROSC) in non-traumatic OHCA. METHODS: MBV and CPV were retrospectively identified in patients with non-traumatic OHCA from the Belgian Cardiac Arrest Registry. We used a two-level mixed-effects multivariable logistic regression analysis to determine the association between the ventilation modalities and outcomes. The primary and secondary study criteria were ROSC and survival with a Cerebral Performance Category (CPC) score of 1 or 2 at 30 days. Age, sex, initial rhythm, no-flow duration, low-flow duration, OHCA location, use of a mechanical chest compression device and Rankin status before arrest were used as covariables. RESULTS: Between January 2017 and December 2021, 2566 patients with OHCA who fulfilled the inclusion criteria were included. 298 (11.6%) patients were mechanically ventilated with CPV whereas 2268 were manually ventilated. The use of CPV was associated with greater probability of ROSC both in the unadjusted (odds ratio: 1.28, 95% confidence interval [CI]: 1.01-1.63; p = 0.043) and adjusted analyses (adjusted odds ratio [aOR]: 2.16, 95%CI 1.37-3.41; p = 0.001) but not with a lower CPC score (aOR: 1.44, 95%CI 0.72-2.89; p = 0.31). CONCLUSIONS: Compared with MBV, CPV was associated with an increased risk of ROSC but not with improved an CPC score in patients with OHCA. Prospective randomised trials are needed to challenge these results.