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Background: Coronary artery disease (CAD) is a major cause of out-of-hospital cardiac arrest (OHCA). The role of emergency coronary angiography (CAG) and percutaneous coronary intervention (PCI) following cardiac arrest in patients without ST-segment elevation myocardial infarction (STEMI) remains unclear., Aims: We aim to assess whether emergency CAG and PCI, when indicated, will improve survival with good neurological outcome in post-OHCA patients without STEMI who remain comatose., Methods: COUPE is a prospective, multicentre and randomized controlled clinical trial. A total of 166 survivors of OHCA without STEMI will be included. Potentially non-cardiac aetiology of the cardiac arrest will be ruled out prior to randomization. Randomization will be 1:1 for emergency (within 2 h) or deferred (performed before discharge) CAG. Both groups will receive routine care in the intensive cardiac care unit, including therapeutic hypothermia. The primary efficacy endpoint is a composite of in-hospital survival free of severe dependence, which will be evaluated using the Cerebral Performance Category Scale. The safety endpoint will be a composite of major adverse cardiac events including death, reinfarction, bleeding and ventricular arrhythmias., Conclusions: This study will assess the efficacy of an emergency CAG versus a deferred one in OHCA patients without STEMI in terms of survival and neurological impairment.

Aims: To define the clinical characteristics and long-term clinical outcomes of a large cohort of patients with idiopathic ventricular fibrillation (IVF) and normal 12-lead electrocardiograms (ECGs)., Methods and Results: Patients with ventricular fibrillation as the presenting rhythm, normal baseline, and follow-up ECGs with no signs of cardiac channelopathy including early repolarization or atrioventricular conduction abnormalities, and without structural heart disease were included in a registry. A total of 245 patients (median age: 38 years; males 59%) were recruited from 25 centres. An implantable cardioverter-defibrillator (ICD) was implanted in 226 patients (92%), while 18 patients (8%) were treated with drug therapy only. Over a median follow-up of 63 months (interquartile range: 25-110 months), 12 patients died (5%); in four of them (1.6%) the lethal event was of cardiac origin. Patients treated with antiarrhythmic drugs only had a higher rate of cardiovascular death compared to patients who received an ICD (16% vs. 0.4%, P = 0.001). Fifty-two patients (21%) experienced an arrhythmic recurrence. Age ≤16 years at the time of the first ventricular arrhythmia was the only predictor of arrhythmic recurrence on multivariable analysis [hazard ratio (HR) 0.41, 95% confidence interval (CI) 0.18-0.92; P = 0.03]., Conclusion: Patients with IVF and persistently normal ECGs frequently have arrhythmic recurrences, but a good prognosis when treated with an ICD. Children are a category of IVF patients at higher risk of arrhythmic recurrences., (© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Background: Automated detection of return of spontaneous circulation (ROSC) is still an unsolved problem during cardiac arrest. Current guidelines recommend the use of capnography, but most automatic methods are based on the analysis of the ECG and thoracic impedance (TI) signals. This study analysed the added value of EtCO 2 for discriminating pulsed (PR) and pulseless (PEA) rhythms and its potential to detect ROSC., Materials and Methods: A total of 426 out-of-hospital cardiac arrest cases, 117 with ROSC and 309 without ROSC, were analysed. First, EtCO 2 values were compared for ROSC and no ROSC cases. Second, 5098 artefact free 3-s long segments were automatically extracted and labelled as PR (3639) or PEA (1459) using the instant of ROSC annotated by the clinician on scene as gold standard. Machine learning classifiers were designed using features obtained from the ECG, TI and the EtCO 2 value. Third, the cases were retrospectively analysed using the classifier to discriminate cases with and without ROSC., Results: EtCO 2 values increased significantly from 41 mmHg 3-min before ROSC to 57 mmHg 1-min after ROSC, and EtCO 2 was significantly larger for PR than for PEA, 46 mmHg/20 mmHg (p < 0.05). Adding EtCO 2 to the machine learning models increased their area under the curve (AUC) by over 2 percentage points. The combination of ECG, TI and EtCO 2 had an AUC for the detection of pulse of 0.92. Finally, the retrospective analysis showed a sensitivity and specificity of 96.6% and 94.5% for the detection of ROSC and no-ROSC cases, respectively., Conclusion: Adding EtCO 2 improves the performance of automatic algorithms for pulse detection based on ECG and TI. These algorithms can be used to identify pulse on site, and to retrospectively identify cases with ROSC., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Electrocardiography (ECG) is essential to detect and diagnose life threatening cardiac conditions and to determine further treatment. Correct interpretation of an ECG can be challenging, especially in the out-of-hospital setting and by less experienced emergency team members.The aim of this study was to compare the rate of ECG transmission from an out-of-hospital emergency scene to an in-hospital cardiologist on call in EMS-B and EMS-S providers and its impact on direct transportation to a cardiac catheterization laboratory and hospital admission.The study was designed as an observational study. Data from 3 separate emergency medical service teams were collected. Two teams are staffed by paramedics only (EMT-B), while another specialized team is staffed with an emergency physician (EMT-S). 5864 out-of-hospital emergencies were performed during a 12-month period and were analyzed for this study.In 124 out of 5864 (2.1%) out-of-hospital emergencies, an ECG transmission from the out-of-hospital scene to an in-hospital cardiologist on call was performed. Rate of transmission was similar between both teams (EMT-B n = 70, 2.2% vs EMT-S n = 54, 2.0%, P = .054). After coordinating with the cardiologist on call, 11 patients (15.7%) of the EMT-B (15.7%) and 24 patients (44.4%) of the EMT-S were directly transported from the scene of emergency to a cardiac catheterization laboratory (P < .001). Overall, 80% of patients treated by EMT-S, compared to 52.5% treated by the EMT-B required subsequent hospital admission (P < .05).Transmission of ECG from the out-of-hospital emergency scene to the in-hospital cardiologist is infrequently performed. The rate of STEMI in transmitted ECG's by emergency teams staffed with an emergency physician was higher compared to emergency teams staffed with paramedics only.

Background: Prehospital 12‑lead electrocardiogram (ECG) is the most widely used screening tool for recognition of ST-segment elevation myocardial infarction (STEMI). However, prehospital diagnosis of STEMI based solely on ECGs can be challenging., Objectives: To evaluate the ability of emergency department (ED) physicians to accurately interpret prehospital 12‑lead ECGs from a remote location., Methods: All suspected prehospital STEMI patients who were transported by EMS and underwent angiography between 2006 and 2014 were included. We reviewed prehospital ECGs and grouped them based on: 1) presence or absence of a culprit artery lesion following angiography; and 2) whether they met the 3rd Universal Definition of Myocardial Infarction. We also described characteristics of ECGs that were misinterpreted by ED physicians., Results: A total of 625 suspected STEMI cases were reviewed. Following angiography, 94% (590/625) of patients were found having a culprit artery lesion, while 6% (35/625) did not. Among these 35 patients, 24 had ECGs that mimicked STEMI criteria and 9 had non-ischemic signs. Upon ECG reinterpretation, 92% (577/625) had standard STEMI criteria while 8% (48/625) did not. Among these 48 patients, 35 had ischemic signs ECGs and 13 did not. Characteristics of misinterpreted ECGs included pericarditis, early repolarization, STE > 1 mm (1‑lead only), and negative T-wave., Conclusions: Remote interpretation of prehospital 12‑lead ECGs by ED physicians was a useful diagnostic tool in this EMS system. Even if the rate of ECG misinterpretation is low, there is still room for ED physicians operating from a remote location to improve their ability to accurately diagnose STEMI patients., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Patients experiencing out-of-hospital cardiac arrest (OHCA) without ST-segment elevation are a heterogenic group with a variety of underlying causes. Up to one-third of patients display a significant coronary lesion compatible with myocardial infarction as OHCA trigger. There are no randomized data on patient selection and timing of invasive coronary angiography after admission. METHODS AND RESULTS: The TOMAHAWK trial randomly assigns 558 patients with return of spontaneous circulation after OHCA with no obvious extracardiac origin of cardiac arrest and no ST-segment elevation/left bundle-branch block on postresuscitation electrocardiogram to either immediate coronary angiography or initial intensive care assessment with delayed/selective angiography in a 1:1 ratio. The primary end point is 30-day all-cause mortality. Secondary analyses will be performed with respect to initial rhythm, electrocardiographic patterns, myocardial infarction as underlying cause, neurological outcome, as well as clinical and laboratory markers. Clinical follow-up will be performed at 6 and 12 months. Safety end points include bleeding and stroke. CONCLUSION: The TOMAHAWK trial will address the unresolved issue of timing and general indication of angiography after OHCA without ST-segment elevation., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Background: Quantitative measures of the ventricular fibrillation (VF) ECG waveform can assess myocardial physiology and predict cardiac arrest outcomes, making these measures a candidate to help guide resuscitation. Chest compressions are typically paused for waveform measure calculation because compressions cause ECG artifact. However, such pauses contradict resuscitation guideline recommendations to minimize cardiopulmonary resuscitation interruptions. We evaluated a comprehensive group of VF measures with and without ongoing compressions to determine their performance under both conditions for predicting functionally-intact survival, the study's primary outcome., Methods: Five-second VF ECG segments were collected with and without chest compressions before 2755 defibrillation shocks from 1151 out-of-hospital cardiac arrest patients. Twenty-four individual measures and 3 combination measures were implemented. Measures were optimized to predict functionally-intact survival (Cerebral Performance Category score ≤2) using 460 training cases, and their performance evaluated using 691 independent test cases., Results: Measures predicted functionally-intact survival on test data with an area under the receiver operating characteristic curve ranging from 0.56 to 0.75 (median, 0.73) without chest compressions and from 0.53 to 0.75 (median, 0.69) with compressions ( P<0.001 for difference). Of all measures evaluated, the support vector machine model ranked highest both without chest compressions (area under the receiver operating characteristic curve, 0.75; 95% CI, 0.73-0.78) and with compressions (area under the receiver operating characteristic curve, 0.75; 95% CI, 0.72-0.78; P=0.75 for difference)., Conclusions: VF waveform measures predict functionally-intact survival when calculated during chest compressions, but prognostic performance is generally reduced compared with compression-free analysis. However, support vector machine models exhibited similar performance with and without compressions while also achieving the highest area under the receiver operating characteristic curve. Such machine learning models may, therefore, offer means to guide resuscitation during uninterrupted cardiopulmonary resuscitation.

Background: Recognition of out-of-hospital-cardiac arrests (OHCAs) at emergency medical communication centres is based on questions of OHCA symptoms, resulting in 50-80% accuracy rates. However, OHCAs might be recognized more promptly using 'rhythm-based' recognition, whereby a victim's cardiac rhythm is recorded with mobile phone technology that analyses and transmits recordings to emergency medical communication centres for further interpretation., Objective: To examine whether the quality of normal cardiac rhythm and the rhythm with the best prognosis in OHCA, ventricular fibrillation (VF), is sufficient for 'rhythm-based' OHCA recognition when recorded within a mobile phone-sized device., Patients and Methods: mid-sternum within an area the size of a mobile phone and analysed by automated external defibrillator (AED) software and two cardiologists. The rhythms were categorized as shockable or nonshockable. The cardiologists assessed the quality of the recordings., Results: The AED software correctly analysed all normal rhythms and 15 of 22 VF rhythms. The VF duration was too short for automatic detection in seven cases. The cardiologists analysed all the normal rhythms and VF sequences correctly and graded them as high quality., Conclusion: The recordings of normal ECG rhythm and VF within an area the size of a mobile phone are of sufficient quality and could be used in 'rhythm-based' OHCA recognition. The VF period was too short for an accurate analysis by the AED software in some cases.

Aim: To design and evaluate a simple algorithm able to discriminate pulsatile rhythms from pulseless electrical activity during automated external defibrillator (AED) analysis intervals, using the ECG and the transthoracic impedance (TI) acquired from defibrillation pads., Methods: ECG and TI signals from out-of-hospital AED recordings were retrospectively analysed. Experts annotated the cardiac rhythm during AED analysis intervals and at the end of each episode. We developed an algorithm to classify 3-s segments of non-shockable and non-asystole rhythms as either pulsatile rhythm or pulseless electrical activity. The algorithm consisted on a decision tree based on two features: the mean power of the TI segment and the mean cross-power between ECG and TI segments., Results: From the 302 annotated episodes, 167 contained segments eligible for the study. The circulation detector algorithm presented a sensitivity (ability of detecting pulsatile rhythms) of 98.3% (95% CI: 95.1-100) and a specificity (ability to detect pulseless electrical activity) of 98.4% (95% CI: 97.1-99.8) in the validation subset. Absence of pulsatile rhythm was confirmed during the first AED analysis interval in 98.9% of the episodes, and presence of a pulse was confirmed in the first 3 s of all intervals with annotated return of spontaneous circulation., Conclusion: Accurate automated detection of circulation based on TI and ECG is possible during AED analysis intervals. This functionality could potentially contribute to enhance patient's care by laypersons using AEDs., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Background: The potential benefit of early coronary angiography in out-of-hospital cardiac arrest (OHCA) patients without ST elevation on ECG is unclear. The aim of this study was to evaluate the association between early coronary angiography and survival in these patients., Methods: Nationwide observational study between 2008 and 2013. Included were patients admitted to hospital after witnessed OHCA, with shockable rhythm, age 18 to 80 years and unconscious. Patients with ST-elevation on ECG were excluded. Patients that underwent early CAG (within 24 hours) were compared with no early CAG (later during the hospital stay or not at all). Outcomes were survival at 30 days, 1 year, and 3 years. Multivariate analysis included pre-hospital factors, comorbidity and ECG-findings., Results: In total, 799 OHCA patients fulfilled the inclusion criteria, of which 275 (34%) received early CAG versus 524 (66%) with no early CAG. In the early CAG group, the proportion of patients with an occluded coronary artery was 27% and 70% had at least one significant coronary stenosis (defined as narrowing of coronary lumen diameter of ≥50%). The 30-day survival rate was 65% in early CAG group versus 52% with no early CAG (P < .001). The adjusted OR was 1.42 (95% CI 1.00-2.02). The one-year survival rate was 62% in the early CAG group versus 48% in the no early CAG group with the adjusted hazard ratio of 1.35 (95% CI 1.04-1.77)., Conclusion: In this population of bystander-witnessed cases of out-of-hospital cardiac arrest with shockable rhythm and ECG without ST elevation, early coronary angiography may be associated with improved short and long term survival., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Aim: To evaluate the performance of a state-of-the-art cardiopulmonary resuscitation (CPR) artefact suppression method by assessing to what extent the filtered electrocardiogram (ECG) can be correctly diagnosed by emergency medicine doctors., Methods: A total of 819 ECG segments were used. Each segment contained two consecutive 10 s intervals, an artefact free interval and an interval corrupted by CPR artefacts. Each ECG segment was digitally processed to remove CPR artefacts using an adaptive filter. Each ECG segment was split into artefact-free and filtered intervals, randomly reordered for dissociation, and independently offered to four reviewers for rhythm annotation. The rhythm annotations of the artefact-free intervals were considered as the gold standard against which the rhythm annotations of the filtered intervals were evaluated. For the filtered intervals, the rater agreement (κ, Kappa score) with the gold standard, the sensitivity and the specificity were computed individually for each reviewer, and jointly through the majority decision of the pool of reviewers (DPR). These results were also compared to those obtained using a commercial shock advisory algorithm (SAA)., Results: The agreement between each reviewer and the gold standard was moderate ranging between κ = 0.41-0.64. The sensitivities and specificities ranged between 64.3-95.0%, and 70.0-95.9%, respectively. The agreement for the DPR was substantial with κ = 0.64 (0.62-0.66), a sensitivity of 90.6%, and a specificity of 85.6%. For the SAA, the agreement was fair with κ = 0.33 (0.31-0.35), a sensitivity of 90.3%, and a specificity of 66.4%., Conclusion: Clinicians outperformed the SAA, but specificities remained below the specifications recommended by the American Heart Association. Visual assessment of the filtered ECG by clinicians is not reliable enough, and varies greatly among clinicians. Results considerably improve by considering the consensus decision of a pool of clinicians., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Background: Acute coronary syndrome is a common cause of out-of-hospital cardiac arrest (OHCA). In patients with OHCA presenting with ST elevation, immediate coronary angiography and potential percutaneous coronary intervention (PCI) after return of spontaneous circulation are recommended. However, the evidence for this invasive strategy in patients without ST elevation is limited. Observational studies have shown a culprit coronary artery occlusion in about 30% of these patients, indicating the electrocardiogram's (ECG's) limited sensitivity. The aim of this study is to determine whether immediate coronary angiography and subsequent PCI will provide outcome benefits in OHCA patients without ST elevation., Methods/design: We describe the design of the DIrect or Subacute Coronary angiography in Out-of-hospital cardiac arrest study (DISCO)-a pragmatic national, multicenter, randomized, clinical study. OHCA patients presenting with no ST elevation on their first recorded ECG will be randomized to a strategy of immediate coronary angiography or to standard of care with admission to intensive care and angiography after 3days at the earliest unless the patient shows signs of acute ischemia or hemodynamic instability. Primary end point is 30-day survival. An estimated 1,006 patients give 80% power (α = .05) to detect a 20% improved 30-day survival rate from 45% to 54%. Secondary outcomes include good neurologic recovery at 30days and 6months, and cognitive function and cardiac function at 6months., Conclusion: This randomized clinical study will evaluate the effect of immediate coronary angiography after OHCA on 30-day survival in patients without ST elevation on their first recorded ECG., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Background: It is unclear if there are predictors of survival, including ECG characteristics, that can guide resuscitative efforts in pulseless electrical activity (PEA) cardiac arrests. We studied the predictive potential of presenting prehospital ECGs on survival for patients with out-of-hospital cardiac arrest (OHCA) with PEA., Methods: We studied prehospital ECGs of patients with OHCA prospectively enrolled between June 2007 and November 2009 at the Ottawa/OPALS (Ontario Prehospital Advanced Life Support Study) site of the Resuscitation Outcomes Consortium PRIMED study (Prehospital Resuscitation using an IMpedance valve and Early versus Delayed analysis). We included adult non-traumatic OHCA with PEA rhythm where resuscitation was attempted. We measured HR, QRS interval and presence of P waves, and determined their impact on return of spontaneous circulation (ROSC) and survival to hospital discharge (SHD) using multivariate regression analysis., Results: The demographic characteristics of the 332 included cases were the following: mean age 71.8, male 58.4%, SHD 5.4% and ROSC at ED arrival 26.5%. Survivors had similar HR (56.8 vs 52.0 beats per minute (bpm), p=0.53) and QRS intervals (128.7 vs 129.6 ms, p=0.95) compared with non-survivors. Prehospital ECG characteristics did not predict SHD or ROSC on multivariate analyses. Patients with initial HR <30 bpm had a 3.8% survival rate; those with both HR <30 bpm and QRS≥120 ms had a 3.7% survival rate. Location of arrest predicted SHD (adjusted OR (AdjOR)=1.49, 1.11 to 1.99; p=0.007). Atropine use negatively predicted SHD (AdjOR=0.06, 0.02 to 0.22; p<0.001). Predictors of ROSC ALS paramedic on scene (AdjOR=8.90, 1.11 to 71.41; p=0.04) and successful intubation (AdjOR=3.35, 1.75 to 6.39; p<0.001). Atropine use negatively predicted ROSC (AdjOR=0.27, 0.14 to 0.50; p<0.001)., Conclusions: Presenting prehospital ECG characteristics did not predict SHD or ROSC in OHCA PEA victims and should not be used to guide termination of resuscitation. Location of arrest was a positive predictor for SHD; atropine use was a negative predictor. ALS paramedic on scene and successful intubation were positive predictors of ROSC; atropine use was a negative predictor., Trial Registration Number: NCT00394706; post-results., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Electrocardiogram (ECG) as one of the best methods to measure irregular heartbeats is a dispensable method for doctor to diagnose Acute Myocardial Infarction (AMI) patients. Most medical centers in Taiwan implement the reduction of Door to Balloon (D2B) time, which is defined as the time interval starting when an Acute-Myocardial-Infarction patient arrives at the Emergency Department, and ending when a catheter guide wire crosses the culprit lesion as the acute-myocardial-infarction treatment on the patient in the cardiac catheterization room. Generally, when a patient with acute-chest pain is sent into a hospital (always to Emergency Department), the hospital will collect his/her ECG which needs to be evaluated by a cardiologist to ensure that the patient really has Acute Myocardial Infarction. Then the medical workers deliver the patient to the cardiac catheterization room to operate balloon angioplasty. In previous years, the cardiologist must utilize a PC to connect to the Intranet of the hospital and employ a special PACS (Picture Archiving and Communication System) image browser before he/she can check the patient's ECG. But this will prolong the D2B time since the doctor may stay outdoors and he/she needs some time to find a PC and network. Of course, if the PC has not installed the PACS image browser, the doctor has to download and install it. Consequently, the D2B time should be worsened, thus possibly impacting the patient's life. Therefore, in this paper, we introduce a Cloud-based Electrocardiogram System, with which cardiologists can directly utilize their smart phones to browse the patient's ECG so as to shorten the D2B time. This system has been online in a medical center in middle Taiwan for more than one year. The shortened D2B time is longer than 10 min, i.e., receiving fine results.

Background: Although manual and semiautomatic external defibrillation (SAED) are commonly used in the management of out-of-hospital cardiac arrest, the optimal strategy is not known. We hypothesized that SAED would reduce the time to first shock and lead to higher rates of cardioversion and survival compared with a manual strategy., Methods and Results: Between July 2005 and June 2015, we included adult out-of-hospital cardiac arrest of presumed cardiac pathogenesis. On October 2012, a treatment protocol using SAED was introduced after years of manual defibrillation. The effect of the SAED implementation on the time to first shock, successful cardioversion, and patient outcomes was assessed using interrupted time series regression adjusting for arrest factors and temporal trend. Of the 14 776 cases, 10 224 (69.2%) and 4552 (30.8%) occurred during the manual and SAED protocols, respectively. Although the proportion of patients shocked within 2 minutes of arrival increased during the SAED protocol for initial shockable rhythms (from 58.9% to 69.2%; P <0.001), there was no difference in unadjusted rate of successful cardioversion after first shock (from 12.3% to 13.8%; P =0.13). After adjustment, the odds of delivering the first shock within 2 minutes of arrival increased under the SAED protocol (adjusted odds ratio [AOR], 1.72; 95% confidence interval [CI], 1.32-2.26; P <0.001). Despite this, the SAED protocol was associated with a reduction in survival to hospital discharge (AOR, 0.71; 95% CI, 0.55-0.92; P =0.009), event survival (AOR, 0.74; 95% CI, 0.62-0.88; P =0.001), and prehospital return of spontaneous circulation (AOR, 0.81; 95% CI, 0.68-0.96; P =0.01) when compared with the manual protocol. There was also no improvement in the rate of successful cardioversion after first shock (AOR, 0.73; 95% CI, 0.51-1.06; P =0.10)., Conclusions: Although SAED improved the time to first shock, this did not translate into higher rates of successful cardioversion or survival after out-of-hospital cardiac arrest. Advanced life support providers should be trained to use a manual defibrillation protocol., (© 2017 American Heart Association, Inc.)

Objectives: The authors aimed to evaluate the role of post-resuscitation electrocardiogram (ECG) in patients showing significant ST-segment changes on the initial ECG and to provide useful diagnostic indicators for physicians to determine in which out-of-hospital cardiac arrest (OHCA) patients brain computed tomography (CT) should be performed before emergency coronary angiography., Background: The usefulness of immediate brain CT and ECG for all resuscitated patients with nontraumatic OHCA remains controversial., Methods: Between January 2010 and December 2014, 1,088 consecutive adult nontraumatic patients with return of spontaneous circulation who visited the emergency department of 3 tertiary care hospitals were enrolled. After excluding 245 patients with obvious extracardiac causes, 200 patients were finally included., Results: The patients were categorized into 2 groups: those with ST-segment changes with spontaneous subarachnoid hemorrhage (SAH) (n = 50) and those with OHCA of suspected cardiac origin group (n = 150). The combination of 4 ECG characteristics including narrow QRS (<120 ms), atrial fibrillation, prolonged QTc interval (≥460 ms), and ≥4 ST-segment depressions had a 66.0% sensitivity, 80.0% specificity, 52.4% positive predictive value, and 87.6% negative predictive value for predicting SAH. The area under the receiver-operating characteristic curves in the post-resuscitation ECG findings was 0.816 for SAH., Conclusions: SAH was observed in a substantial number of OHCA survivors (25.0%) with significant ST-segment changes on post-resuscitation ECG. Resuscitated patients with narrow QRS complex and any 2 ECG findings of atrial fibrillation, QTc interval prolongation, or ≥4 ST-segment depressions may help identify patients who need brain CT as the next diagnostic work-up., (Copyright © 2017 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Objective: Recognition of cardiac arrest (CA) during an emergency call leans on questions concerning CA symptoms and is correct in 50-83% of cases. If the heart rhythm could be recorded and analysed over a mobile phone or transmitted during the emergency call to the dispatch centre and analysed there, using software identical to one in an automated external defibrillator (AED), CA recognition could be more prompt. We investigated whether an AED can correctly analyse normal heart rhythms recorded within an area the size of a mobile phone., Methods: Bipolar ECG signal was recorded using an AED in 20 healthy volunteers in four different positions during rest and muscle tension with small pads in an area the size of a mobile phone. Recordings obtained with standard pads in standard positions served as the reference. The recorded ECGs were analysed with an AED and by two cardiologists and categorized as shockable or nonshockable., Results: All analyses were correct when the recordings were performed vertically at the midsternum level. Horizontally at this level, the AED made correct analyses in 95 and 65% of cases and the cardiologists in 100 and 88% of cases at rest and during muscle tension, respectively. In the lateral positions only the analyses by cardiologists partly reached 100% sensitivity. The analysis time of the AED was 7 s in all positions., Conclusion: ECGs can be analysed promptly with an AED within an area the size of a mobile phone. The most reliable recording position was vertical at the midsternum level.

Background: We aimed to investigate coronary angiographic findings in unselected out-of-hospital cardiac arrest patients referred to immediate coronary angiography (ICA) irrespective of their first postresuscitation ECG and to determine whether this ECG is useful to select patients with no need of ICA., Methods and Results: All resuscitated patients admitted after out-of-hospital cardiac arrest without a clear noncardiac cause underwent ICA. Patients were retrospectively grouped according to the postresuscitation ECG blinded for ICA results: (1) ST elevation or presumably new left bundle branch block, (2) other ECG signs indicating myocardial ischemia, and (3) no ECG signs indicating myocardial ischemia. All coronary angiograms were reevaluated blinded for postresuscitation ECGs. Two hundred and ten patients were included with mean age 62±12 years. Six-months survival with good neurological outcome was 54%. Reduced Thrombolysis in Myocardial Infarction flow (0-2) was found in 55%, 34%, and 18% and a ≥90% coronary stenosis was present in 25%, 27%, and 19% of patients in group 1, 2, and 3, respectively. An acute coronary occlusion was found in 11% of patients in group 3. ST elevation/left bundle branch block identified patients with reduced Thrombolysis in Myocardial Infarction (0-2) flow with 70% sensitivity and 62% specificity. Among patients with initial nonshockable rhythms (24%), 32% had significantly reduced Thrombolysis in Myocardial Infarction flow., Conclusions: Initial ECG findings are not reliable in detecting patients with an indication for ICA after experiencing a cardiac arrest. Even in the absence of ECG changes indicating myocardial ischemia, an acute culprit lesion may be present and patients may benefit from emergent revascularization. CLINICAL TRIAL REGISTRATIONURL: http://www.clinicaltrials.gov. Unique identifier: NCT01239420., (© 2015 American Heart Association, Inc.)

Purpose: Acute coronary lesions commonly trigger out-of-hospital cardiac arrest (OHCA). However, the prevalence of coronary artery disease (CAD) in Asian patients with OHCA and whether electrocardiogram (ECG) and other findings might predict acute myocardial infarction (AMI) have not been fully elucidated., Materials and Methods: Of 284 consecutive resuscitated OHCA patients seen between January 2006 and July 2013, we enrolled 135 patients who had undergone coronary evaluation. ECGs, echocardiography, and biomarkers were compared between patients with or without CAD., Results: We included 135 consecutive patients aged 54 years (interquartile range 45-65) with sustained return of spontaneous circulation after OHCA between 2006 and 2012. Sixty six (45%) patients had CAD. The initial rhythm was shockable and non-shockable in 110 (81%) and 25 (19%) patients, respectively. ST-segment elevation predicted CAD with 42% sensitivity, 87% specificity, and 65% accuracy. ST elevation and/or regional wall motion abnormality (RWMA) showed 68% sensitivity, 52% specificity, and 70% accuracy in the prediction of CAD. Finally, a combination of ST elevation and/or RWMA and/or troponin T elevation predicted CAD with 94% sensitivity, 17% specificity, and 55% accuracy., Conclusion: In patients with OHCA without obvious non-cardiac causes, selection for coronary angiogram based on the combined criterion could detect 94% of CADs. However, compared with ECG only criteria, the combined criterion failed to improve diagnostic accuracy with a lower specificity.

Out of hospital cardiac arrest (OHCA) has a high mortality despite modern treatment. Reliable early prognosis in OHCA could significantly improve clinical decision making. We explored prognostic utility of advanced ECG parameters, obtained from high-resolution ECG, in combination with clinical and OHCA-related parameters during treatment with mild induced hypothermia (MIH) and after rewarming in unconscious survivors of OHCA. Ninety-two patients during MIH and 66 after rewarming were included. During MIH, a score based on initial rhythm, QRS-upslope and systolic pressure resulted in an area under curve (AUC) of 0.82 and accuracy of 80% for survival. After rewarming, a score based on admission rhythm, sum of 12 lead QRS voltages, and mean lateral ST segment level in leads I and V6 resulted in an AUC of 0.88 and accuracy of 85% for survival. ECG can assist with early prognostication in unconscious survivors of OHCA during MIH and after rewarming., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Aim: Chest compression artefacts impede a reliable rhythm analysis during cardiopulmonary resuscitation (CPR). These artefacts are not present during ventilations in 30:2 CPR. The aim of this study is to prove that a fully automatic method for rhythm analysis during ventilation pauses in 30:2 CPR is reliable an accurate., Methods: For this study 1414min of 30:2 CPR from 135 out-of-hospital cardiac arrest cases were analysed. The data contained 1942 pauses in compressions longer than 3.5s. An automatic pause detector identified the pauses using the transthoracic impedance, and a shock advice algorithm (SAA) diagnosed the rhythm during the detected pauses. The SAA analysed 3-s of the ECG during each pause for an accurate shock/no-shock decision., Results: The sensitivity and PPV of the pause detector were 93.5% and 97.3%, respectively. The sensitivity and specificity of the SAA in the detected pauses were 93.8% (90% low CI, 90.0%) and 95.9% (90% low CI, 94.7%), respectively. Using the method, shocks would have been advanced in 97% of occasions. For patients in nonshockable rhythms, rhythm reassessment pauses would be avoided in 95.2% (95% CI, 91.6-98.8) of occasions, thus increasing the overall chest compression fraction (CCF)., Conclusion: An automatic method could be used to safely analyse the rhythm during ventilation pauses. This would contribute to an early detection of refibrillation, and to increase CCF in patients with nonshockable rhythms., (Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.)

Background: While internationally reported survival from out-of-hospital cardiac arrest (OHCA) is improving, much of the increase is being observed in patients presenting to emergency medical services (EMS) in shockable rhythms. The purpose of this study was to assess survival and 12-month functional recovery in patients presenting to EMS in asystole or pulseless electrical activity (PEA)., Methods: The Victorian Ambulance Cardiac Arrest Registry was searched for adult OHCA patients presenting in non-shockable rhythms in Victoria, Australia between 1st July 2003 and 30th June 2013. We excluded patients defibrillated prior to EMS arrival and arrests witnessed by EMS. Twelve-month quality-of-life interviews were conducted on survivors who arrested between 1st January 2010 and 31st December 2012. The main outcome measures were survival to hospital discharge and 12-month functional recovery measured by the Extended Glasgow Outcome Scale (GOSE)., Results: A total of 38,378 non-shockable OHCA attended by EMS were included, of which 88.0% were asystole and 11.6% were PEA. Of the patients receiving resuscitation, survival to hospital discharge was 1.1% for asystole and 5.9% for PEA (p<0.001), with no significant improvement observed over the 10 year study period. In survivors with 12-month follow-up data, the combined rate of death, vegetative state or lower severe disability was 66.7% (95% CI 41.0-80.0%) for asystole and 44.7% (95% CI 30.2-59.9%) for PEA., Conclusion: Survival outcomes following OHCA with initial rhythms of asystole or PEA did not improve over the 10-year study period. Our findings indicate high rates of death within 12 months, and unfavourable functional recovery for survivors., (Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.)

Aims: Acute coronary lesions are known to be the most common trigger of out of hospital cardiac arrest (OHCA). Aim of the present study was to assess the predictive value of ST-segment changes in diagnosing the presence of acute coronary lesions among OHCA patients, Methods: Findings of coronary angiography (CA) performed in patients resuscitated from OCHA were retrospectively reviewed and related to ST-segment changes on post-ROSC electrocardiogram (ECG) RESULTS: Ninety-one patients underwent CA after OHCA; 44% of patients had ST-segment elevation and 56% of patients had other ECG patterns on post-ROSC ECG. Significant coronary artery disease (CAD) was found in 86% of patients; CAD was observed in 98% of patients with ST-segment elevation and in 77% of patients with other ECG patterns on post-ROSC ECG (p=0.004). Acute or presumed recent coronary artery lesions were diagnosed in 56% of patients, respectively in 85% of patients with ST-segment elevation and in 33% of patients with other ECG patterns (p<0.001). ST-segment analysis on post-ROSC ECG has a good positive predictive value but a low negative predictive value in diagnosing the presence of acute or presumed recent coronary artery lesions (85% and 67%, respectively), Conclusions: Electrocardiographic findings after OHCA should not be considered as strict selection criteria for performing emergent CA in patients resuscitated from OHCA without obvious extra-cardiac cause; even in the absence of ST-segment elevation on post-ROSC ECG, acute culprit coronary lesions may be present and considered the trigger of cardiac arrest., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

Sudden cardiac arrest (SCA), due mainly to coronary artery disease (CAD), is a leading cause of death. To identify electrocardiographic and clinical differences between patients with CAD with and without SCA, 87 victims of SCA with CAD were compared with 131 patients with CAD without SCA. Patients' latest routine electrocardiograms and clinical variables were compared. Patients with CAD with and without previous myocardial infarctions (MIs) were included. Patients with SCA had a higher incidence of echocardiographic evidence of left ventricular hypertrophy and/or heart failure than controls. The median left ventricular ejection fractions for patients with SCA with and without previous MIs were 0.30 (interquartile range 0.24 to 0.41) and 0.41 (interquartile range 0.25 to 0.56). The median time between the last electrocardiographic assessment and SCA was 59 days (interquartile range 29 to 137). Regarding electrocardiographic characteristics, in patients with and without previous MIs, QRS width (odds ratio 1.032, 95% confidence interval 1.012 to 1.053, p = 0.002, and odds ratio 1.035, 95% confidence interval 1.015 to 1.056, p = 0.001) was the only significant predictor of SCA. In conclusion, in patients with CAD, regardless of a previous MI, a longer QRS width and echocardiographic parameters consistent with heart failure are associated with SCA, even in patients with ischemic cardiomyopathy currently not eligible for an implantable cardioverter-defibrillator., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Objective: Indexes such as amplitude spectrum area (AMSA) and power spectrum area (PSA) obtained from electrocardiogram waveform analysis are possible predictors of outcome after electrical defibrillation for ventricular fibrillation (VF). In this study, we examined AMSA and PSA to determine whether these parameters can predict defibrillation outcome., Materials and Methods: A total of 83 out-of-hospital VF victims were classified into four groups according to type of cardiac rhythm after shock: return of spontaneous circulation (ROSC), VF, pulseless electrical activity (PEA), and asystole. AMSA and PSA were calculated from electrocardiograms prior to shock and compared between groups., Results: The mean AMSA (4.0-48 Hz) in the ROSC group was 24.2 ± 8.5 mV-Hz, which was significantly higher than that in the VF and asystole groups., Conclusion: It is possible by analyzing the AMSA of VF to predict cases where electrical defibrillation is more likely to return cardiac rhythm. Furthermore, unnecessary electrical shocks with a low possibility of ROSC can be avoided, and chest compression should be continued to prevent myocardial damage and consequently improve prognosis.

Background: Diagnosis of acute myocardial infarction (AMI) in out-of-hospital cardiac arrest (OHCA) patients is important because immediate coronary angiography with coronary angioplasty could improve outcome in this setting. However, the value of acute post-resuscitation electrocardiographic (ECG) data for the detection of AMI is debatable., Methods: We assessed the diagnostic characteristics of post-resuscitation ECG changes in a retrospective single centre study evaluating several ECG criteria of selection of patients undergoing AMI, in order to improve sensitivity, even at the expense of specificity. Immediate post resuscitation coronary angiogram was performed in all patients. AMI was defined angiographically using coronary flow and plaque morphology criteria., Results: We included 165 consecutive patients aged 56 (IQR 48-67) with sustained return of spontaneous circulation after OHCA between 2002 and 2008. 84 patients had shockable, 73 non-shockable and 8 unknown initial rhythm; 36% of the patients had an AMI. ST-segment elevation predicted AMI with 88% sensitivity and 84% specificity. The criterion including ST-segment elevation and/or depression had 95% sensitivity and 62% specificity. The combined criterion including ST-segment elevation and/or depression, and/or non-specific wide QRS complex and/or left bundle branch block provided a sensitivity and negative predictive value of 100%, a specificity of 46% and a positive predictive value of 52%., Conclusion: In patients with OHCA without obvious non-cardiac causes, selection for coronary angiogram based on the combined criterion would detect all AMI and avoid the performance of the procedure in 30% of the patients, in whom coronary angiogram did not have a therapeutic role., (Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.)