Analysis during chest compressions in out-of-hospital cardiac arrest patients, a cross/sectional study: The DEFI 2022 study.

AIMS: During out-of-hospital cardiac arrest (OHCA), an automatic external defibrillator (AED) analyzes the cardiac rhythm every two minutes; however, 80% of refibrillations occur within the first minute post-shock. We have implemented an algorithm for Analyzing cardiac rhythm While performing chest Compression (AWC). When AWC detects a shockable rhythm, it shortens the time between analyses to one minute. We investigated the effect of AWC on cardiopulmonary resuscitation quality. METHOD: In this cross-sectional study, we compared patients treated in 2022 with AWC, to a historical cohort from 2017. Inclusion criteria were OHCA patients with a shockable rhythm at the first analysis. Primary endpoint was the chest compression fraction (CCF). Secondary endpoints were cardiac rhythm evolution and survival, including survival analysis of non-prespecified subgroups. RESULTS: In 2017 and 2022, 355 and 377 OHCAs met the inclusion criteria, from which we analyzed the 285 first consecutive cases in each cohort. CCF increased in 2022 compared to 2017 (77% [72-80] vs 72% [67-76]; P < 0.001) and VF recurrences were shocked more promptly (53 s [32-69] vs 117 s [90-132]). Survival did not differ between 2017 and 2022 (adjusted hazard-ratio 0.96 [95% CI, 0.78-1.18]), but was higher in 2022 within the sub-group of OHCAs that occurred in a public place and within a short time from call to AED switch-on (adjusted hazard ratio 0.85[0.76-0.96]). CONCLUSIONS: OHCA patients treated with AWC had higher CCF, shorter time spent in ventricular fibrillation, but no survival difference, except for OHCA that occurred in public places with short intervention time.

Trends in survival from out-of-hospital cardiac arrest with a shockable rhythm and its association with bystander resuscitation: a retrospective study.

OBJECTIVE: Over 300 000 cases of out-of-hospital cardiac arrests (OHCAs) occur each year in the USA and Europe. Despite decades of investment and research, survival remains disappointingly low. We report the trends in survival after a ventricular fibrillation/pulseless ventricular tachycardia OHCA, over a 13-year period, in a French urban region, and describe the simultaneous evolution of the rescue system. METHODS: We investigated four 18-month periods between 2005 and 2018. The first period was considered baseline and included patients from the randomised controlled trial 'DEFI 2005'. The three following periods were based on the Paris Sudden Death Expertise Center Registry (France). Inclusion criteria were non-traumatic cardiac arrests treated with at least one external electric shock with an automated external defibrillator from the basic life support team and resuscitated by a physician-staffed ALS team. Primary outcome was survival at hospital discharge with a good neurological outcome. RESULTS: Of 21 781 patients under consideration, 3476 (16%) met the inclusion criteria. Over all study periods, survival at hospital discharge increased from 12% in 2005 to 25% in 2018 (p<0.001), and return of spontaneous circulation at hospital admission increased from 43% to 58% (p=0.004).Lay-rescuer cardiopulmonary resuscitation (CPR) and telephone CPR (T-CPR) rates increased significantly, but public defibrillator use remained limited. CONCLUSION: In a two-tiered rescue system, survival from OHCA at hospital discharge doubled over a 13-year study period. Concomitantly, the system implemented an OHCA patient registry and increased T-CPR frequency, despite a consistently low rate of public defibrillator use.

Prehospital Lyophilized Plasma Transfusion for Trauma-Induced Coagulopathy in Patients at Risk for Hemorrhagic Shock: A Randomized Clinical Trial.

Importance: Blood transfusion is a mainstay of therapy for trauma-induced coagulopathy, but the optimal modalities for plasma transfusion in the prehospital setting remain to be defined. Objective: To determine whether lyophilized plasma transfusion can reduce the incidence of trauma-induced coagulopathy compared with standard care consisting of normal saline infusion. Design, Setting, and Participants: This randomized clinical trial was performed at multiple centers in France involving prehospital medical teams. Participants included 150 adults with trauma who were at risk for hemorrhagic shock and associated coagulopathy between April 1, 2016, and September 30, 2019, with a 28-day follow-up. Data were analyzed from November 1, 2019, to July 1, 2020. Intervention: Patients were randomized in a 1:1 ratio to receive either plasma or standard care with normal saline infusion (control). Main Outcomes and Measures: The primary outcome was the international normalized ratio (INR) on arrival at the hospital. Secondary outcomes included the need for massive transfusion and 30-day survival. As a safety outcome, prespecified adverse events included thrombosis, transfusion-related acute lung injury, and transfusion-associated circulatory overload. Results: Among 150 randomized patients, 134 were included in the analysis (median age, 34 [IQR, 26-49] years; 110 men [82.1%]), with 68 in the plasma group and 66 in the control group. Median INR values were 1.21 (IQR, 1.12-1.49) in the plasma group and 1.20 (IQR, 1.10-1.39) in the control group (median difference, -0.01 [IQR, -0.09 to 0.08]; P = .88). The groups did not differ significantly in the need for massive transfusion (7 [10.3%] vs 4 [6.1%]; relative risk, 1.78 [95% CI, 0.42-8.68]; P = .37) or 30-day survival (hazard ratio for death, 1.07 [95% CI, 0.44-2.61]; P = .89). In the full intention-to-treat population (n = 150), the groups did not differ in the rates of any of the prespecified adverse events. Conclusions and Relevance: In this randomized clinical trial including severely injured patients at risk for hemorrhagic shock and associated coagulopathy, prehospital transfusion of lyophilized plasma was not associated with significant differences in INR values vs standard care with normal saline infusion. Nevertheless, these findings show that lyophilized plasma transfusion is a feasible and safe procedure for this patient population. Trial Registration: ClinicalTrials.gov Identifier: NCT02736812.

Does age influence out-of-hospital cardiac arrest incidence and outcomes among women? Insights from the Paris SDEC.

AIMS: Age and sex disparities in out-of-hospital cardiac arrest (OHCA) have been described. Reproductive age may have a protected effect on females vs. males, although results are conflicting. We aimed to clarify this using the Paris Sudden Death Expertise Centre (SDEC) registry. METHODS AND RESULTS: The Paris SDEC registry collects OHCAs occurring in the Greater Paris Area. We included all OHCAs of presumed cardiac causes occurring between 2013 and 2018. Patients were divided into age groups: 1-13, 13-50, 50-75, and >75 years. Sex and age disparities in OHCA incidence and outcomes were analysed using multivariable negative binomial and logistic regression models. There were 19 782 OHCAs meeting inclusion criteria: 0.37% aged 1-13 years, 12.4% aged 13-50 years, 40.4% aged 50-75 years, and 46.9% aged >75 years. Adjusted incidence rate ratios (IRRs) in females vs. males were for the youngest to the older age groups: 1.29 [95% confidence interval (CI) 0.78-2.13], 0.54 [0.49-0.59], 0.60 [0.56-0.64], and 0.75 [0.67-0.84]. At reproductive age, females were more likely than males to have a return of spontaneous circulation [adjusted odds ratio (OR) 1.60 (1.27-2.02)], to be alive at hospital admission [OR: 1.49 (1.18-1.89)]. In both sexes, patients aged 13-50 years were more likely to survive at hospital discharge than those aged 50-75 years [males: OR 1.81 (1.49-2.20), females: 2.24 (1.54-3.25)]. However, at reproductive age, no sex disparity was observed in survival at hospital discharge [OR: 1.16 (0.75-1.80)]. CONCLUSION: Incidence rate ratios were similar between pre- and post-menopausal aged patients. At reproductive age, no sex disparity in survival at hospital discharge was observed, suggesting that menopausal status may not influence OHCA occurrence and prognosis.

Association between prehospital shock index and mortality among patients with COVID-19 disease.

BACKGROUND: There exists a need for prognostic tools for the early identification of COVID-19 patients requiring intensive care unit (ICU) admission and mortality. Here we investigated the association between a clinical (initial prehospital shock index (SI)) and biological (initial prehospital lactatemia) tool and the ICU admission and 30-day mortality among COVID-19 patients cared for in the prehospital setting. METHODS: We retrospectively analysed COVID-19 patients initially cared for by a Paris Fire Brigade advanced (ALS) or basic life support (BLS) team in the prehospital setting between 2020, March 08th and 2020, May 30th. We assessed the association between prehospital SI and prehospital lactatemia and ICU admission and mortality using logistic regression model analysis after propensity score matching with Inverse Probability Treatment Weighting (IPTW) method. Covariates included in the IPTW propensity analysis were: age, sex, body mass index (BMI), initial respiratory rate (iRR), initial pulse oximetry without (SpO2i) and with oxygen supplementation (SpO2i.O2), initial Glasgow coma scale (GCSi) value, initial prehospital SI and initial prehospital lactatemia. RESULTS: We analysed 410 consecutive COVID-19 patients [254 males (62%); mean age, 64 ± 18 years]. Fifty-seven patients (14%) deceased on the scene, of whom 41 (72%) were male and were significantly older (71 ± 12 years vs. 64 ± 19 years; P 〈10-3). Fifty-three patients (15%) were admitted in ICU and 39 patients (11%) were deceased on day-30. The mean prehospital SI value was 1.5 ± 0.4 and the mean prehospital lactatemia was 2.0 ± 1.7 mmol.l-1. Multivariate logistic regression analysis on matched population after IPTW propensity analysis reported a significant association between ICU admission and age (adjusted Odd-Ratio (aOR), 0.90; 95% confidence interval (95%CI): 0.93-0.98;p = 10-3), SpO2i.O2 (aOR, 1.10; 95%CI: 1.02-1.20;p = 0.002) and BMI (aOR, 1.09; 95% CI: 1.03-1.16;p = 0.02). 30-day mortality was significantly associated with SpO2i.O2 (aOR, 0.92; 95% CI: 0.87-0.98;p = 0.01 P < 10-3) and GCSi (aOR, 0.90; 95% CI: 0.82-0.99;p = 0.04). Neither prehospital SI nor prehospital lactatemia were associated with ICU admission and 30-day mortality. CONCLUSION: Neither prehospital initial SI nor lactatemia were associated with ICU admission and 30-day mortality among COVID-19 patients initially cared for by a Paris Fire Brigade BLS or ALS team. Further prospective studies are needed to confirm these preliminary results.

Automatic external defibrillator provided by unmanned aerial vehicle (drone) in Greater Paris: A real world-based simulation.

AIM: To reduce the delay in defibrillation of out-of-hospital cardiac arrest (OHCA) patients, recent publications have shown that drones equipped with an automatic external defibrillator (AED) appear to be effective in sparsely populated areas. To study the effectiveness of AED-drones in high-density urban areas, we developed an algorithm based on emergency dispatch parameters for the rate and detection speed of cardiac arrests and technical and meteorological parameters. METHODS: We ran a numerical simulation to compare the actual time required by the Basic Life Support team (BLSt) for OHCA patients in Greater Paris in 2017 to the time required by an AED-drone. Endpoints were the proportion of patients with "AED-drone first" and the defibrillation time gained. We built an open-source website (https://airborne-aed.org/) to allow modelling by modifying one or more parameters and to help other teams model their own OHCA data. RESULTS: Of 3014 OHCA patients, 72.2 ±â€¯0.7% were in the "no drone flight" group, 25.8 ±â€¯0.2% in the "AED-drone first" group, and 2.1 ±â€¯0.2% in the "BLSt-drone first" group. When a drone flight was authorized, it arrived an average 190 s before BLSt in 93% of cases. The possibility of flying the drone during the aeronautical night improved the results of the "AED-drone first" group the most (+60%). CONCLUSIONS: In our very high-density urban model, at most 26% of OHCA patients received an AED from an AED-drone before BLSt. The flexible parameters of our website model allows evaluation of the impact of each choice and concrete implementation of the AED-drone.

Prehospital management of acute respiratory distress in suspected COVID-19 patients.

BACKGROUND: In December 2019, coronavirus disease (COVID-19) emerged in China and became a world-wide pandemic in March 2020. Emergency services and intensive care units (ICUs) were faced with a novel disease with unknown clinical characteristics and presentations. Acute respiratory distress (ARD) was often the chief complaint for an EMS call. This retrospective study evaluated prehospital ARD management and identified factors associated with the need of prehospital mechanical ventilation (PMV) for suspected COVID-19 patients. METHODS: We included 256 consecutive patients with suspected COVID-19-related ARD that received prehospital care from a Paris Fire Brigade BLS or ALS team, from March 08 to April 18, 2020. We performed multivariate regression to identify factors predisposing to PMV. RESULTS: Of 256 patients (mean age 60 ± 18 years; 82 (32%) males), 77 (30%) had previous hypertension, 31 (12%) were obese, and 49 (19%) had diabetes mellitus. Nineteen patients (7%) required PMV. Logistic regression observed that a low initial pulse oximetry was associated with prehospital PMV (ORa = 0.86, 95%CI: 0.73-0.92; p = 0.004). CONCLUSIONS: This study showed that pulse oximetry might be a valuable marker for rapidly determining suspected COVID-19-patients requiring prehospital mechanical ventilation. Nevertheless, the impact of prehospital mechanical ventilation on COVID-19 patients outcome require further investigations.

Contributing factors to early recurrence of ventricular fibrillation during out-of-hospital cardiac arrest: An observational retrospective study.

INTRODUCTION: In out-of-hospital cardiac arrest (OHCA), external electric shock (EES) is recommended for treating ventricular fibrillation (VF). Refibrillation commonly occurs within one minute post-shock. We aimed to investigate refibrillation times and identifyclinical and electrical factors associated with them. MATERIALS AND METHODS: This retrospective observational study, based on the Paris Fire Brigade database, included non-traumatic OHCA over 18 years of age who received at least one shock with an AED from Basic Life Support (BLS) rescuers and from which we randomly selected a sample to measure the refibrillation-times. Without prior reference to it in the literature, we classified the refibrillation-time into two modalities according to whether it was above or below the median-time. We performed multiple regression analysis to assess associations between refibrillation-time and potential explanatory factors. RESULTS: Among 13,181 patients who experienced OHCA from January 2010 to January 2014, we analysed AED data from 215 patients (590 shocks), 82.1% males, median age 61[IQR: 52-75] years. Most of them occurred at home (57%), were witnessed (87%), and were shockable (88.8%). A median of 5[4-7] EES/patients were delivered. The median-time from shock to refibrillation was 25[13-44] s. Multivariate analysis showed that a shorter post-shock hands-off time favoured earlier refibrillation (p = 0.034), as well as older age (p = 0.002) (Fig. 2, Supplementary table). CONCLUSION: In non-traumatic OHCA, most refibrillations occurred within 45-s post-shock. Age and post-shock hands-off time were the two contributing factors to time to refibrillation.

Mobile Smartphone Technology Is Associated With Out-of-hospital Cardiac Arrest Survival Improvement: The First Year "Greater Paris Fire Brigade" Experience.

BACKGROUND: Out-of-hospital cardiac arrest (OHCA) remains associated with very high mortality. Accelerating the initiation of efficient cardiopulmonary resuscitation (CPR) is widely perceived as key to improving outcomes. The main goal was to determine whether identification and activation of nearby first responders through a smartphone application named Staying Alive (SA) can improve survival following OHCA in a large urban area (Paris). METHODS: We conducted a nonrandomized cohort study of all adults with OHCA managed by the Greater Paris Fire Brigade during 2018, irrespective of mobile application usage. We compared survival data in cases where SA did or did not lead to the activation of nearby first responders. During dispatch, calls for OHCA were managed with or without SA. The intervention group included all cases where nearby first responders were successfully identified by SA and actively contributed to CPR. The control group included all other cases. We compared survival at hospital discharge between the intervention and control groups. We analyzed patient data, CPR metrics, and first responders' characteristics. RESULTS: Approximately 4,107 OHCA cases were recorded in 2018. Among those, 320 patients were in the control group, whereas 46 patients, in the intervention group, received first responder-initiated CPR. After adjustment for confounders, survival at hospital discharge was significantly improved for patients in the intervention group (35% vs. 16%, adjusted odds ratio = 5.9, 95% confidence interval = 2.1 to 16.5, p < 0.001). All CPR metrics were improved in the intervention group. CONCLUSIONS: We report that mobile smartphone technology was associated with OHCA survival through accelerated initiation of efficient CPR by first responders in a large urban area.