Abstract 243: Out-of-hospital Cardiac Arrest in the Outpatient Clinical Environment

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_4) ◽  
Author(s):  
Oscar J Mitchell ◽  
Michael Wang ◽  
Stacie Neefe ◽  
Michael Lynch ◽  
William D Schweickert ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Stress Test ◽  
Pulseless Electrical Activity ◽  
Neurological Status ◽  
Spontaneous Circulation ◽  
University Of Pennsylvania ◽  
Clinical Settings ◽  
Clinical Environment ◽  
Resuscitation Training ◽  
Hospital Cardiac Arrest

Background: Out-of-hospital cardiac arrest (OHCA) remains a leading cause of death in the US, affecting over 400,000 annually. Although outcomes have improved, rates of return of spontaneous circulation (ROSC) and survival are lower from OHCA than from in-hospital cardiac arrest. Clinical emergencies, including OHCA, in outpatient clinical settings are often first attended by rapid response teams (RRT), but the causes and outcomes from OHCA in these environments has not been characterized. An understanding of this population is critical both for RRT quality improvement and resource allocation. Objectives: We aimed to describe OHCA that occurred in outpatient clinical environments. We hypothesized that OHCA in ambulatory settings would be uncommon and would be concentrated in a limited number of higher-risk outpatient areas. Methods: Retrospective analysis of all RRT calls for non-hospitalized adult outpatients occurring between 2012- 2020 at the Hospital of the University of Pennsylvania. Results: There were 7336 RRT calls;25 were for OHCA. Information was available for 24 of these. Mean age was 64 +/- 16.7 y, and 38% were female. Initial rhythm was pulseless electrical activity in 79%, ventricular fibrillation in 13%, asystole in 4%, and was not recorded in 4%. CPR was initiated in all cases prior to the arrival of the RRT. ROSC was obtained in 84%, extracorporeal membrane oxygenation (ECMO) was initiated in 8%, and 8% did not survive. ROSC was obtained within 5 min in 58% of cases. Of those that attained ROSC, 75% survived to discharge, 80% with good neurological status (CPC 1-2). Most events (54%) were judged to be iatrogenic. Of these, 54% were due to anaphylaxis, 15% were during cardiac stress testing, and 31% were peri-procedural. The most common causes of anaphylaxis were chemotherapeutics and radiographic contrast agents. Conclusions: OHCA events are uncommon in the outpatient clinical setting and are frequently iatrogenic. These events are associated with high rates of ROSC and neurologically intact survival. Iatrogenic OHCA occurred during a limited number of clinical settings, including outpatient procedural, , infusion, and stress test locations.. This finding suggests the need to focus resuscitation training in these specific environments.

scholarly journals Survival and Long-term Outcomes Following in-hospital Cardiac Arrest in a Swiss University Hospital: a Prospective Observational Study

2021 ◽  
Author(s):  
Alexander Fuchs ◽  
Dominic Käser ◽  
Lorenz Theiler ◽  
Robert Greif ◽  
Jürgen Knapp ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Functional Status ◽  
Survival Rates ◽  
Neurological Status ◽  
Spontaneous Circulation ◽  
University Hospital ◽  
Return Of Spontaneous Circulation ◽  
Team Interventions ◽  
Hospital Cardiac Arrest ◽  
Cardiac Arrest Team

Abstract Background: Incidence of in-hospital cardiac arrest is reported to be 0.8 to 4.6 per 1,000 patient admissions. Patient survival to hospital discharge with favourable functional and neurological status is around 21%. The Bern University Hospital is a tertiary medical centre in Switzerland with a cardiac arrest team from the Department of Anaesthesiology and Pain Medicine that is available 24 h per day, 7 days per week. Due to lack of central documentation of cardiac arrest team interventions, the incidence, outcomes and survival rates of cardiac arrests are unknown. The aim was thus to record all cardiac arrest team interventions over 1 year, and to analyse the outcome and survival rates of adult patients after in-hospital cardiac arrests.Methods: We conducted a prospective single-centre observational study that recorded all adult in-hospital cardiac arrest team interventions over 1 year, using an Utstein-style case report form. The primary outcome was 30-day survival after in-hospital cardiac arrest. Secondary outcomes were return of spontaneous circulation, neurological status (after return of spontaneous circulation, after 24 h, after 30 days and 1 year), according to the Glasgow Outcomes Scale, and functional status at 30 days and 1 year, according to the Short-form-12 Health Survey.Results: The cardiac arrest team had 146 interventions over the study year, which included 60 non-life-threatening alarms (41.1%). The remaining 86 (58.9%) acute life-threatening situations included 68 (79.1%) as patients with cardiac arrest. The mean age of these cardiac arrest patients was 68 ±13 years, with a male predominance (51/68; 75.0%). Return of spontaneous circulation was recorded in 49 patients (72.1%). Over one-third of the cardiac arrest patients (27/68) were alive after 30 days with favourable neurological outcome. The patients who survived to 1 year after the event showed favourable neurological and functional status. Conclusions: The in-hospital cardiac arrest incidence on a large tertiary Swiss university hospital was 1.56 per 1,000 patient admissions. After a cardiac arrest, about a third of the patients survived to 1 year with favourable neurological and functional status. Early recognition and high-quality cardiopulmonary resuscitation provided by a well-organised team is crucial for patient survival.Trial Registration: The trial was registered in clinicaltrials.gov (NCT02746640).

Resuscitation for Patients with Out-of-Hospital Cardiac Arrest: Singapore

2002 ◽  
Vol 17 (2) ◽  
pp. 96-101 ◽  
Author(s):  
Ghee Hian Lim ◽  
Eillyne Seow
Keyword(s):  
Cardiac Arrest ◽  
Life Support ◽  
Hospital Setting ◽  
Pulseless Electrical Activity ◽  
Spontaneous Circulation ◽  
Very High Frequency ◽  
Traumatic Cardiac Arrest ◽  
Bystander Cardiopulmonary Resuscitation ◽  
Hospital Cardiac Arrest ◽  
Very High

AbstractAim:To evaluate characteristics and outcome of out-of-hospital cardiac arrest (OHCA) patients presenting to the Emergency Department (ED), and to examine factors that could be used to determine to prolong or abort resuscitation for these patients.Method:All OHCA patients presenting to the ED were studied over a three-month period from November 2001 through January 2002. Patient with traumatic cardiac arrest were excluded. Data were collected from the ambulance case records, ED resuscitation charts, and the ED Very High Frequency (VHF) radio case-log sheet. Information collected included the patient's demographic characteristics, timings (time from call to ambulance arrival on scene, time from arrival at scene to departure from scene, time from scene to arrival in the ED) recorded in the pre-hospital setting, the outcome of the resuscitation, and the final outcome for patients who survived ED resuscitation.Results:Ninety-three non-traumatic patients with an OHCA were studied during the three-month period. Of the 93 patients, 15 (16.1%) survived ED resuscitation, and one survived to hospital discharge. There were no statistically significant differences for age, race, or gender with regards to the outcome of the resuscitation. The initial cardiac rhythms were asystole (65), pulseless electrical activity (21), and ventricular fibrillation (7). Fourteen (15%) received bystander cardiopulmonary resuscitation (CPR). All seven patients with return of spontaneous circulation (ROSC) on arrival in the ED survived ED resuscitation. The ambulance took an average of 11.80 ±3.36 minutes for the survivors and 11.8 ±4.22 minutes for the non-survivors from the time of call to get to these patients. The average of the scene times was 12.5 ±4.61 minutes for the survivors and 12.0 ±4.02 minutes for the non-survivors. Transport time from the scene to the ED took an average of 39.1 ±8.32 minutes for the survivors and 37.2 ±9.00 minutes for the non-survivors.Conclusion:The survival rate for patients with OHCA after ED resuscitation is similar to the results from other studies. There is a need to increase the awareness and delivery of basic life support by public education. Automatic External Defibrillators (AED) should be available widely to ensure that the chance of early defibrillation is increased. Prolonged resuscitation efforts appear to be futile for OHCA patients if the time from cardiac arrest until arrival in the ED is ≥30 minutes coupled with no ROSC, and if continuous asystole has been documented for >10 minutes.

Improving Survival After In-Hospital Cardiac Arrest: The Australian Experience

2007 ◽  
Vol 16 (3) ◽  
pp. 240-247 ◽  
Author(s):  
Robyn Peters ◽  
Mary Boyde
Keyword(s):  
Cardiac Arrest ◽  
Life Support ◽  
Survival Rates ◽  
Spontaneous Circulation ◽  
High Rate ◽  
Hospital Data ◽  
Return Of Spontaneous Circulation ◽  
Shockable Rhythm ◽  
Resuscitation Training ◽  
Hospital Cardiac Arrest

Background Survival rates after in-hospital cardiac arrest have not improved markedly despite improvements in technology and resuscitation training. Objectives To investigate clinical variables that influence return of spontaneous circulation and survival to discharge after in-hospital cardiac arrest. Methods An Utstein-style resuscitation template was implemented in a 750-bed hospital. Data on 158 events were collected from January 2004 through November 2004. Significant variables were analyzed by using a multiple logistic regression model. Results Of the 158 events, 128 were confirmed cardiac arrests. Return of spontaneous circulation occurred in 69 cases (54%), and the patient survived to discharge in 41 (32%). An initial shockable rhythm was present in 42 cases (33%), with a return of spontaneous circulation in 32 (76%) and survival to discharge in 24 (57%). An initial nonshockable rhythm was present in the remaining 86 cases (67%), with a return of spontaneous circulation in 37 (43%) and survival to discharge in 17 (20%). Witnessed or monitored arrests (P=.006), time to arrival of the cardiac arrest team (P=.002), afternoon shift (P=.02), and initial shockable rhythm (P=.005) were independently associated with return of spontaneous circulation. Location of patient in a critical care area (P=.002), initial shockable rhythm (P<.001), and length of resuscitation (P=.02) were independently associated with survival to hospital discharge. Conclusions The high rate of survival to discharge after cardiac arrest is attributed to extensive education and the incorporation of semiautomatic external defibrillators into basic life support management.

scholarly journals Use of a simulation-based advanced resuscitation training curriculum: Impact on cardiopulmonary resuscitation quality and patient outcomes

2019 ◽  
Vol 21 (1) ◽  
pp. 57-63 ◽  
Author(s):  
Amanda K Young ◽  
Michael J Maniaci ◽  
Leslie V Simon ◽  
Philip E Lowman ◽  
Ryan T McKenna ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Cardiopulmonary Resuscitation ◽  
Patient Outcomes ◽  
Spontaneous Circulation ◽  
Good Neurological Outcome ◽  
Odds Ratios ◽  
Rates Of Return ◽  
Return Of Spontaneous Circulation ◽  
Resuscitation Training ◽  
Hospital Cardiac Arrest

Background Despite a continued focus on improved cardiopulmonary resuscitation quality, survival remains low from in-hospital cardiac arrest. Advanced Resuscitation Training has been shown to improve survival to hospital discharge and survival with good neurological outcome following in-hospital cardiac arrest at its home institution. We sought to determine if Advanced Resuscitation Training implementation would improve patient outcomes and cardiopulmonary resuscitation quality at our institution. Methods This was a prospective, before–after study of adult in-hospital cardiac arrest victims who had cardiopulmonary resuscitation performed. During phase 1, standard institution cardiopulmonary resuscitation training was provided. During phase 2, providers received the same quantity of training, but with emphasis on Advanced Resuscitation Training principles. Primary outcomes were return of spontaneous circulation, survival to hospital discharge, and neurologically favorable survival. Secondary outcomes were cardiopulmonary resuscitation quality parameters. Results A total of 156 adult in-hospital cardiac arrests occurred during the study period. Rates of return of spontaneous circulation improved from 58.1 to 86.3% with an adjusted odds ratios of 5.31 (95% CI: 2.23–14.35, P < 0.001). Survival to discharge increased from 26.7 to 41.2%, adjusted odds ratios 2.17 (95% CI: 1.02–4.67, P < 0.05). Survival with a good neurological outcome increased from 24.8 to 35.3%, but was not statistically significant. Target chest compression rate increased from 30.4% of patients in P1 to 65.6% in P2, adjusted odds ratios 4.27 (95% CI: 1.72–11.12, P = 0.002), and target depth increased from 23.2% in P1 to 46.9% in P2, adjusted odds ratios 2.92 (95% CI: 1.16–7.54, P = 0.024). Conclusions After Advanced Resuscitation Training implementation, there were significant improvements in cardiopulmonary resuscitation quality and rates of return of spontaneous circulation and survival to discharge.

Abstract 290: The Association of Regional Intra-arrest Transport Practices for Out-of-hospital Cardiac Arrest with Survival and Neurological Status at Hospital Discharge

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_4) ◽  
Author(s):  
Brian E Grunau ◽  
Takahisa Kawano ◽  
Masashi Okubo ◽  
Joshua Reynolds ◽  
Matthieu Heidet ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Hospital Discharge ◽  
Patient Outcomes ◽  
Patient Survival ◽  
Secondary Analysis ◽  
Neurological Status ◽  
Spontaneous Circulation ◽  
Regional Level ◽  
Regional Clusters ◽  
Hospital Cardiac Arrest

Background: There is substantial regional variation in out-of-hospital cardiac arrest (OHCA) outcomes. We investigated whether regional-level intra-arrest transport practices were associated with patient outcomes. Methods: We performed a secondary analysis of the “CCC Trial” dataset, which included EMS-treated adult non-traumatic OHCA enrolled from 49 regional clusters. The exposure of interest was regional-level intra-arrest transport practices (RIATP), calculated as the proportion of cases within the enrolling cluster transported prior to return of spontaneous circulation (“intra-arrest transport”), divided into quartiles. We fit a multilevel mixed-effects logistic regression model to estimate the association of RIATP quartile and both survival and favorable neurologic status (mRS ≤ 3) at hospital discharge, adjusted for patient-level Utstein variables. Results: We included all 26,148 CCC-enrolled patients, 36% of whom were female, 97% were treated with prehospital ALS, and 23% had shockable initial rhythms. The median RIATP of the 49 clusters was 20% (IQR 6.2 - 30%). The figure shows outcomes stratified by RIATP quartile. Compared to the first quartile (<6.2%), increasing RIATP had the following adjusted associations with: (i) favourable neurological status: OR 0.87 (95% CI 0.60-1.26), 0.74 (95% CI 0.51-1.07), 0.36 (95% CI 0.25-0.53); and (ii) survival: 0.63 (95% CI 0.47-0.85), 0.60 (95% CI 0.45-0.79), 0.44 (95% CI 0.33-0.59). Conclusion: Treatment within a region that utilizes intra-arrest transport less frequently was associated with improved patient survival. These results may, in part, explain differences between regional OHCA survival outcomes.

scholarly journals A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac Arrest

Entropy ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. 847
Author(s):  
Jon Urteaga ◽  
Elisabete Aramendi ◽  
Andoni Elola ◽  
Unai Irusta ◽  
Ahamed Idris
Keyword(s):  
Machine Learning ◽  
Cardiac Arrest ◽  
Electrical Activity ◽  
Area Under The Curve ◽  
Pulseless Electrical Activity ◽  
Learning Model ◽  
Spontaneous Circulation ◽  
Machine Learning Model ◽  
Balance Accuracy ◽  
Hospital Cardiac Arrest

Pulseless electrical activity (PEA) is characterized by the disassociation of the mechanical and electrical activity of the heart and appears as the initial rhythm in 20–30% of out-of-hospital cardiac arrest (OHCA) cases. Predicting whether a patient in PEA will convert to return of spontaneous circulation (ROSC) is important because different therapeutic strategies are needed depending on the type of PEA. The aim of this study was to develop a machine learning model to differentiate PEA with unfavorable (unPEA) and favorable (faPEA) evolution to ROSC. An OHCA dataset of 1921 5s PEA signal segments from defibrillator files was used, 703 faPEA segments from 107 patients with ROSC and 1218 unPEA segments from 153 patients with no ROSC. The solution consisted of a signal-processing stage of the ECG and the thoracic impedance (TI) and the extraction of the TI circulation component (ICC), which is associated with ventricular wall movement. Then, a set of 17 features was obtained from the ECG and ICC signals, and a random forest classifier was used to differentiate faPEA from unPEA. All models were trained and tested using patientwise and stratified 10-fold cross-validation partitions. The best model showed a median (interquartile range) area under the curve (AUC) of 85.7(9.8)% and a balance accuracy of 78.8(9.8)%, improving the previously available solutions at more than four points in the AUC and three points in balanced accuracy. It was demonstrated that the evolution of PEA can be predicted using the ECG and TI signals, opening the possibility of targeted PEA treatment in OHCA.

scholarly journals Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest

Entropy ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. 305 ◽  
Author(s):  
Andoni Elola ◽  
Elisabete Aramendi ◽  
Unai Irusta ◽  
Artzai Picón ◽  
Erik Alonso ◽  
...  
Keyword(s):  
Neural Network ◽  
Cardiac Arrest ◽  
State Of The Art ◽  
Early Recognition ◽  
Pulseless Electrical Activity ◽  
Spontaneous Circulation ◽  
Bayesian Optimization ◽  
Pulse Detection ◽  
Electrocardiogram Ecg ◽  
Hospital Cardiac Arrest

The automatic detection of pulse during out-of-hospital cardiac arrest (OHCA) is necessary for the early recognition of the arrest and the detection of return of spontaneous circulation (end of the arrest). The only signal available in every single defibrillator and valid for the detection of pulse is the electrocardiogram (ECG). In this study we propose two deep neural network (DNN) architectures to detect pulse using short ECG segments (5 s), i.e., to classify the rhythm into pulseless electrical activity (PEA) or pulse-generating rhythm (PR). A total of 3914 5-s ECG segments, 2372 PR and 1542 PEA, were extracted from 279 OHCA episodes. Data were partitioned patient-wise into training (80%) and test (20%) sets. The first DNN architecture was a fully convolutional neural network, and the second architecture added a recurrent layer to learn temporal dependencies. Both DNN architectures were tuned using Bayesian optimization, and the results for the test set were compared to state-of-the art PR/PEA discrimination algorithms based on machine learning and hand crafted features. The PR/PEA classifiers were evaluated in terms of sensitivity (Se) for PR, specificity (Sp) for PEA, and the balanced accuracy (BAC), the average of Se and Sp. The Se/Sp/BAC of the DNN architectures were 94.1%/92.9%/93.5% for the first one, and 95.5%/91.6%/93.5% for the second one. Both architectures improved the performance of state of the art methods by more than 1.5 points in BAC.

Abstract 110: The Dynamic Clinical Course of Resuscitation in Children With Cardiac Arrest

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_2) ◽  
Author(s):  
Trond Nordseth ◽  
Dana Niles ◽  
Trygve Eftestøl ◽  
Vinay Nadkarni ◽  
Robert Sutton ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Clinical Course ◽  
Pulseless Electrical Activity ◽  
Spontaneous Circulation ◽  
Clinical State ◽  
State Transitions ◽  
Temporary Increase ◽  
Older Children ◽  
Chest Compressions ◽  
Hospital Cardiac Arrest

Background: During cardiac arrest, a child may be in one of five clinical states (“rhythms”): 1) Bradycardia with poor perfusion; 2) Pulseless Electrical Activity (PEA); 3) Ventricular Fibrillation or Pulseless Ventricular Tachycardia (VF/VT); 4) Asystole; or 5) Spontaneous Circulation (ROSC). The aim of study was to investigate and quantify the dynamic characteristics of this process. Methods: We prospectively acquired data on rhythm and clinical states using recording defibrillators during active CPR. Recordings were analyzed as a multi-state statistical model, focusing on transitions between PEA (including bradycardia with poor perfusion), VF/VT, Asystole, and ROSC (defined as an organized electrical rhythm without chest compressions >= 1 minute). Instantaneous transition rates were obtained by smoothing the Nelson-Aalen estimator of cumulative intensities. Results: In 74 Cardiac Arrest events with evaluable data, median patient age was 15 years [range 1.75 to 22.9; IQR 11 to 17]. Fifty percent had a respiratory etiology and 51 % were female. PEA was the most frequent presenting cardiac arrest rhythm (38 %); followed by VF/VT (24 %), bradycardia (22 %), and asystole (16 %). Starting from time of defibrillator attachment (median 3 minutes into the event) as shown in the figure that shows 45 minutes of CPR, the prevalence of sustained ROSC reached an asymptotic value of 30 % at 20 minutes. We observed a temporary surge of PEA at about 12 minutes, resulting from a doubling (from 0.1 to 0.2 transitions/min) of the instantaneous transition rate of ROSC to PEA during this period. Conclusion: We provide a quantitative overview of the dynamic process of clinical state transitions during in-hospital cardiac arrest and resuscitation in older children and adolescents. A notable feature was a temporary increase in the prevalence of PEA at 12 minutes.

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