Dispositivos suprágloticos: una aproximación a su uso en el ámbito extrahospitalario

[Es]Introducción: El manejo óptimo de la vía aérea extrahospitalaria es todavía incierto. Los dispositivos supraglóticos y la intubación endotraqueal han sido utilizados en los últimos años por los servicios de emergencia, pero no se conoce aún si el uso de los nuevos dispositivos supraglóticos mejora la supervivencia. Objetivo: Determinar la supervivencia a corto plazo (igual o menor a 1 mes) entre los dispositivos supraglóticos y la intubación endotraqueal en la parada cardíaca extrahospitalaria. Metodología: Se realizó una revisión bibliográfica en las bases de datos de Cochrane, Pubmed, MEDES, Scopus, CINAHL, Science Direct e IBECS y una búsqueda manual en las revistas Emergencias, Prehospital Emergency Care y Annals Emergency Medicine de estudios comprendidos entre los años 2004- 2014 que comparasen la supervivencia en la parada cardíaca extrahospitalaria del adulto entre los dispositivos supraglóticos y la intubación endotraqueal. Resultados: Se identificaron 9 estudios elegibles: 2 revisiones sistemáticas (una con metaanálisis), 1 ensayo clínico aleatorizado y 6 estudios de cohortes. 6 de los estudios mostraron mejores resultados en la intubación endotraqueal, 2 en los que no hubo diferencias y uno de ellos mostró mejores resultados en los dispositivos supraglóticos. Conclusiones: La intubación endotraqueal proporciona mayor supervivencia que los dispositivos supraglóticos en la parada cardíaca extrahospitalaria en adultos. Los dispositivos supraglóticos deberían utilizarse por parte de personal con poca experiencia en el uso de la intubación endotraqueal o como alternativa a la intubación fallida o con dificultad.

Diseño y evaluación de métodos de supresión del artefacto causado en el ECG por las compresiones torácicas proporcionadas por el dispositivo mecánico LUCAS.

[Es]En este proyecto se analizan el diseño y la evaluación de dos métodos para la supresión de la interferencia generada por las compresiones torácicas proporcionadas por el dispositivo mecánico LUCAS, en el electrocardiograma (ECG) durante el masaje de resucitación cardiopulmonar. El objetivo es encontrar un método que elimine el artefacto generado en el ECG de una manera efectiva, que permita el diagnóstico fiable del ritmo cardiaco. Encontrar un método eficaz sería de gran ayuda para no tener que interrumpir el masaje de resucitación para el análisis correcto del ritmo cardiaco, lo que supondría un aumento en las probabilidades de resucitación. Para llevar a cabo el proyecto se ha generado una base de datos propia partiendo de registros de paradas cardiorrespiratorias extra-hospitalarias. Esta nueva base de datos contiene 410 cortes correspondientes a 86 pacientes, siendo todos los episodios de 30 segundos de duración y durante los cuales el paciente, recibe masaje cardiaco. Por otro lado, se ha desarrollado una interfaz gráfica para caracterizar los métodos de supresión del artefacto. Esta, muestra las señales del ECG, de impedancia torácica y del ECG tras eliminar el artefacto en tiempo. Mediante esta herramienta se han procesado los registros aplicando un filtro adaptativo y un filtro de coeficientes constantes. La evaluación de los métodos se ha realizado en base a la sensibilidad y especificidad del algoritmo de clasificación de ritmos con las señales ECG filtradas. La mayor aportación del proyecto, por tanto, es el desarrollo de una potente herramienta eficaz para evaluar métodos de supresión del artefacto causado en el ECG por las compresiones torácicas al realizar el masaje de resucitación cardiopulmonar, y su posterior diagnóstico. Un instrumento que puede ser implementado para analizar episodios de resucitación de cualquier tipo de procedencia y capaz de integrar nuevos métodos de supresión del artefacto.

Aireztapenen maiztasunaren neurketa bihotz biriketako berpiztean kapnografia erabiliz.

[EN]Hyperventilation, which is common both in-hospital and out-of-hospital cardiac arrest, decreases coronary and cerebral perfusion contributing to poorer survival rates in both animals and humans. Current resucitation guidelines recommend continuous monitoring of exhaled carbon dioxide (CO2) during cardiopulmonary resucitation (CPR) and emphasize good quality of CPR, including ventilations at 8-10 min1. Most of commercial monitors/de- brilators incorporate methods to compute the respiratory rate based on capnography since it shows uctuations caused by ventilations. Chest compressions may induce artifacts in this signal making the calculation of the respiratory rate di cult. Nevertheless, the accuracy of these methods during CPR has not been documented yet. The aim of this project is to analyze whether the capnogram is reliable to compute ventilation rate during CPR. A total of 91 episodes, 63 out-of-hospital cardiac arrest episodes ( rst database) and 28 in-hospital cardiac arrest episodes (second database) were used to develop an algorithm to detect ventilations in the capnogram, and the nal aim is to provide an accurate ventilation rate for feedback purposes during CPR. Two graphic user interfaces were developed to make the analysis easier and another two were adapted to carry out this project. The use of this interfaces facilitates the managment of the databases and the calculation of the algorithm accuracy. In the rst database, as gold standard every ventilation was marked by visual inspection of both the impedance, which shows uctuations with every ventilation, and the capnography signal. In the second database, volume of the respiratory ow signal was used as gold standard to mark ventilation instants since it is not a ected by chest compressions. The capnogram was preprocessed to remove high frequency noise, and the rst di erence was computed to de ne the onset of inspiration and expiration. Then, morphological features were extracted and a decission algorithm built based on the extracted features to detect ventilation instants. Finally, ventilation rate was calculated using the detected instants of ventilation. According to the results obtained in this project, the capnogram can be reliably used to give feedback ventilation rate, and therefore, on hyperventilation in a resucitation scenario.

A Reliable Method for Rhythm Analysis during Cardiopulmonary Resuscitation

nterruptions in cardiopulmonary resuscitation (CPR) compromise defibrillation success. However, CPR must be interrupted to analyze the rhythm because although current methods for rhythm analysis during CPR have high sensitivity for shockable rhythms, the specificity for nonshockable rhythms is still too low. This paper introduces a new approach to rhythm analysis during CPR that combines two strategies: a state-of-the-art CPR artifact suppression filter and a shock advice algorithm (SAA) designed to optimally classify the filtered signal. Emphasis is on designing an algorithm with high specificity. The SAA includes a detector for low electrical activity rhythms to increase the specificity, and a shock/no-shock decision algorithm based on a support vector machine classifier using slope and frequency features. For this study, 1185 shockable and 6482 nonshockable 9-s segments corrupted by CPR artifacts were obtained from 247 patients suffering out-of-hospital cardiac arrest. The segments were split into a training and a test set. For the test set, the sensitivity and specificity for rhythm analysis during CPR were 91.0% and 96.6%, respectively. This new approach shows an important increase in specificity without compromising the sensitivity when compared to previous studies.

The ABC for Life Programme - Teaching Basic Life Support in Schools

Background Less than 1% of the general public know how to assess or manage someone who has collapsed. It has been estimated that if 15–20% of the population were capable of performing cardiopulmonary resuscitation (CPR), mortality of out of hospital cardiac arrest could be decreased significantly. Training basic life support (BLS) skills to school children would be the most cost effective way of achieving this goal and ensuring that a large proportion of the population acquire basic life saving skills. Aims To assess retention of knowledge of basic life support 6 months after a single course of instruction in cardiopulmonary resuscitation designed specifically for school children. Setting School pupils in a rural location in one region of the United Kingdom. Methods A course of instruction in cardiopulmonary resuscitation – the ‘ABC for life’ programme – specifically designed to teach 10–12-year-old school children basic life support skills. The training session was given to school pupils in a rural location in Northern Ireland. A 22 point questionnaire was used to assess acquisition and retention of basic life support knowledge. Results Children instructed in cardiopulmonary resuscitation showed a highly significant increase in level of knowledge following the training session. While their level of knowledge decreased over a period of 6 months it remained significantly higher than that of a comparable group of children who had never been trained. Conclusion A training programme designed and taught as part of the school curriculum would have a significant impact on public health.

Bystander resuscitation attempts at heroin overdose: does it improve outcomes?

Study objective: To document the characteristics and effectiveness of cardiopulmonary resuscitation (CPR) at non-fatal heroin overdose events in Melbourne, Australia. Methods: A retrospective analysis of a computerised database of ambulance attendance records at non-fatal heroin overdose cases for the period 1/12/1998 to 31/7/2000 was undertaken.

Main outcome measures: The main outcome measure was the rate of patient hospitalisation. The rate of CPR administration at heroin overdose cases was also examined, along with characteristics of the attendance, such as the age and sex of the overdose case, the relationship of person providing CPR to the overdose case as well as the location, time and date of the event.

Results: CPR was administered prior to ambulance arrival in 579 heroin overdose cases (9.4% of total heroin overdose cases attended) between 1/12/98 and 31/7/2000. A greater proportion of female overdose cases were administered CPR than males and CPR administrations were evenly distributed across attendances occurring in private and public locations. Bystander administration of CPR prior to ambulance attendance resulted in a significantly lower rate of heroin user hospitalisation (14.5%) compared to cases where bystander CPR was not administered (18.8%).

Conclusions: While CPR administration prior to ambulance attendance at heroin overdose events is relatively uncommon (especially compared to out-of-hospital cardiac arrest), such administration was associated with a statistically significant improvement in clinical outcomes in cases of non-fatal heroin overdose. These findings suggest that the provision of CPR training to people likely to come into contact with heroin overdose events may be an effective strategy at minimising consequent overdose-related harm.

Untersuchung zum Einfluss der ACD-CPR mit während der Dekompressionsphase blockiertem Gasfluss (ITD) im Vergleich zur Standard-Reanimationstechnik auf die Kurzzeit-Überlebensrate von Patienten mit präklinisch aufgetretenem Herzkreislaufstillstand

Untersuchung zum Einfluss der ACD-CPR (Aktive Kompressions- Dekompressions-Reanimation) mit während der Dekompressionsphase blockiertem Gasfluss (Impedance-Threshold-Device) im Vergleich zur Standardreanimationsrechnik auf die Kurzzeit-Überlebensrate von Patienten mit präklinisch aufgetretenem Herzkreislaufstillstand. Die Studie vergleicht die ACD-ITD-CPR gegen die Standard-CPR bei Patienten mit präklinischem Herkreislaufstillstand. Primär untersuchter Parameter war die Ein-Stunden-Überlebensrate nach Krankenhausaufnahme. Sekundär wurden die Tastbarkeit eines Pulses unter CPR, die Wiederkehr des Spontankreislaufs (ROSC), die Rate an Krankenhausaufnahmen, 24-Stunden-Überleben und Krankenhausentlassungen untersucht. Außerdem wurde das neurologische Outcome evaluiert. Die Studie fand in Mainz statt; Mainz bietet sich für die Durchführung notfallmedizinischer Studien in besonderem Maße an. Der Rettungsdienst der Stadt arbeitet nach dem in Deutschland üblichen zweigliedrigen System mit RA/RS auf RTWs und NA auf NAW/NEF. Die Studie wurde nach einer fünfmonatigen Pilotphase und extensivem Training beider Verfahren durchgeführt. Zusätzlich bestanden bei einigen der Beteiligten schon Erfahrungen mit ACD-CPR. Es ergaben sich signifikante Vorteile der ACD-ITD-CPR gegenüber der Standard-CPR hinsichtlich des primär untersuchten Parameters (51% vs. 32% p=0,006), außerdem statistisch auffällige Vorteile hinsichtlich der Pulstastbarkeit unter CPR (85% vs. 69%, p=0,008), der Wiederkehr des Spontankreislaufs (55% vs. 37%, p=0,016), der Rate der Krankenhausaufnahmen (52% vs. 36%, p=0.023) und des 24-Stunden-Überlebens (37% vs. 22%, p=0,033). Es ergaben sich keine statistisch auffälligen Unterschiede hinsichtlich der Rate an Krankenhausentlassungen und im neurologischen Outcome. Die Ergebnisse lassen den Schluss zu, dass die ACD-ITD die Kurzzeitüberlebensrate der Patienten mit außerklinischem Herzkreislaufstillstand verbessern kann. Eine Voraussetzung hierfür ist eine ausreichende und andauernde Ausbildung der beteiligten Helfer und/oder die Verfügbarkeit technisch verbesserter Lösungen. Weitere Untersuchungen zum Einfluss auf die Langzeitüberlebensraten und das neurologische Outcome scheinen angezeigt.

Thermoregulatory management for mild therapeutic hypothermia

In recent years the use of mild therapeutic hypothermia as a means of neuroprotection has become an important concept for treatment after cerebral ischemic hypoxic injury. Mild therapeutic hypothermia has been shown to improve outcome after out-of-hospital cardiac arrest, and many studies suggest a beneficial effect of mild therapeutic hypothermia on patient outcome after traumatic brain injury, cerebrovascular damage and neonatal asphyxia. This review article explores the numerous possibilities and methods for the induction of mild therapeutic hypothermia, reviews thermoregulatory management during maintenance and discusses associated risks and complications.

Multivessel versus culprit vessel percutaneous coronary intervention in ST-elevation myocardial infarction: is more worse?

Aims: We examined what type of STEMI patients are more likely to undergo multivessel PCI (MPCI) in a "real-world" setting and whether MPCI leads to worse or better outcomes compared with single-vessel PCI (SPCI) after stratifying patients by risk. Methods and results: Among STEMI patients enrolled in the Swiss AMIS Plus registry between 2005 and 2012 (n=12,000), 4,941 were identified with multivessel disease. We then stratified patients based on MPCI use and their risk. High-risk patients were identified a priori as those with: 1) left main (LM) involvement (lesions, n=263); 2) out-of-hospital cardiac arrest; or 3) Killip class III/IV. Logistic regression models examined for predictors of MPCI use and the association between MPCI and in-hospital mortality. Three thousand eight hundred and thirty-three (77.6%) patients underwent SPCI and 1,108 (22.4%) underwent MPCI. Rates of MPCI were greater among high-risk patients for each of the three categories: 8.6% vs. 5.9% for out-of-hospital cardiac arrest (p<0.01); 12.3% vs. 6.2% for Killip III/IV (p<0.001); and 14.5% vs. 2.7% for LM involvement (p<0.001). Overall, in-hospital mortality after MPCI was higher when compared with SPCI (7.3% vs. 4.4%; p<0.001). However, this result was not present when patients were stratified by risk: in-hospital mortality for MPCI vs. SPCI was 2.0% vs. 2.0% (p=1.00) in low-risk patients and 22.2% vs. 21.7% (p=1.00) in high-risk patients. Conclusions: High-risk patients are more likely to undergo MPCI. Furthermore, MPCI does not appear to be associated with higher mortality after stratifying patients based on their risk.

Perioperative cardiac arrest and its mortality in children. A 9-year survey in a Brazilian tertiary teaching hospital

Background: the incidence of perioperative cardiac arrest and mortality in children is higher than in adults. This survey evaluated the incidence, causes, and outcome of perioperative cardiac arrests in a pediatric surgical population in a tertiary teaching hospital between 1996 and 2004.Methods: the incidence of cardiac arrest during anesthesia was identified from an anesthesia database. During the study period, 15 253 anesthetics were performed in children. Data collected included patient demographics, surgical procedures (elective, urgent, or emergency), ASA physical status classification, anesthesia provider information, type of surgery, surgical areas, and outcome. All cardiac arrests were reviewed and grouped by the cause of arrest and death into one of four groups: totally anesthesia-related, partially anesthesia-related, totally surgery-related, or totally child disease or condition-related.Results: There were 35 cardiac arrests (22.9 : 10 000) and 15 deaths (9.8 : 10 000). Major risk factors for cardiac arrest were neonates and children under 1 year of age (P < 0.05) with ASA III or poorer physical status (P < 0.05), in emergency surgery (P < 0.05), and general anesthesia (P < 0.05). Child disease/condition was the major cause of cardiac arrest or death (P < 0.05). There were seven cardiac arrests because of anesthesia (4.58 : 10 000) - four totally (2.62 : 10 000) and three partially related to anesthesia (1.96 : 10 000). There were no anesthesia attributable deaths reported. The main causes of anesthesia attributable cardiac arrest were respiratory events (71.5%) and medication-related events (28.5%).Conclusions: Perioperative cardiac arrests were relatively higher in neonates and infants than in older children with severe underlying disease and during emergency surgery. The fact that all anesthesia attributable cardiac arrests were related to airway management and medication administration is important in prevention strategies.

Intraoperative Cardiac Arrest and Mortality in Trauma Patients. A 14-Yr Survey from a Brazilian Tertiary Teaching Hospital

Background: Little information on the factors influencing intraoperative cardiac arrest and its outcomes in trauma patients is available. This survey evaluated the associated factors and outcomes of intraoperative cardiac arrest in trauma patients in a Brazilian teaching hospital between 1996 and 2009.Methods: Cardiac arrest during anesthesia in trauma patients was identified from an anesthesia database. The data collected included patient demographics, ASA physical status classification, anesthesia provider information, type of surgery, surgical areas and outcome. All intraoperative cardiac arrests and deaths in trauma patients were reviewed and grouped by associated factors and also analyzed as totally anesthesia-related, partially anesthesia-related, totally surgery-related or totally trauma patient condition-related.Findings: Fifty-one cardiac arrests and 42 deaths occurred during anesthesia in trauma patients. They were associated with male patients (P<0.001) and young adults (18-35 years) (P = 0.04) with ASA physical status IV or V (P<0.001) undergoing gastroenterological or multiclinical surgeries (P<0.001). Motor vehicle crashes and violence were the main causes of trauma (P<0.001). Uncontrolled hemorrhage or head injury were the most significant associated factors of intraoperative cardiac arrest and mortality (P<0.001). All cardiac arrests and deaths reported were totally related to trauma patient condition.Conclusions: Intraoperative cardiac arrest and mortality incidence was highest in male trauma patients at a younger age with poor clinical condition, mainly related to uncontrolled hemorrhage and head injury, resulted from motor vehicle accidents and violence.

Pediatric Perioperative Cardiac Arrest and Mortality: A Study From a Tertiary Teaching Hospital

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Postreperfusion cardiac arrest and resuscitation during orthotopic liver transplantation: dynamic visualization and analysis of physiologic recordings

We recently reported on the Multi Wave Animator (MWA), a novel open-source tool with capability of recreating continuous physiologic signals from archived numerical data and presenting them as they appeared on the patient monitor. In this report, we demonstrate for the first time the power of this technology in a real clinical case, an intraoperative cardiopulmonary arrest following reperfusion of a liver transplant graft. Using the MWA, we animated hemodynamic and ventilator data acquired before, during, and after cardiac arrest and resuscitation. This report is accompanied by an online video that shows the most critical phases of the cardiac arrest and resuscitation and provides a basis for analysis and discussion. This video is extracted from a 33-min, uninterrupted video of cardiac arrest and resuscitation, which is available online. The unique strength of MWA, its capability to accurately present discrete and continuous data in a format familiar to clinicians, allowed us this rare glimpse into events leading to an intraoperative cardiac arrest. Because of the ability to recreate and replay clinical events, this tool should be of great interest to medical educators, researchers, and clinicians involved in quality assurance and patient safety.

Sudden cardiac arrest in sports - need for uniform registration: A Position Paper from the Sport Cardiology Section of the European Association for Cardiovascular Prevention and Rehabilitation

There are large variations in the incidence, registration methods and reported causes of sudden cardiac arrest/sudden cardiac death (SCA/SCD) in competitive and recreational athletes. A crucial question is to which degree these variations are genuine or partly due to methodological incongruities. This paper discusses the uncertainties about available data and provides comprehensive suggestions for standard definitions and a guide for uniform registration parameters of SCA/SCD. The parameters include a definition of what constitutes an 'athlete', incidence calculations, enrolment of cases, the importance of gender, ethnicity and age of the athlete, as well as the type and level of sporting activity. A precise instruction for autopsy practice in the case of a SCD of athletes is given, including the role of molecular samples and evaluation of possible doping. Rational decisions about cardiac preparticipation screening and cardiac safety at sport facilities requires increased data quality concerning incidence, aetiology and management of SCA/SCD in sports. Uniform standard registration of SCA/SCD in athletes and leisure sportsmen would be a first step towards this goal.

TIME SERIES ANALYSIS AS INPUT FOR PREDICTIVE MODELING: PREDICTING CARDIAC ARREST IN A PEDIATRIC INTENSIVE CARE UNIT

The first manuscript, entitled "Time-Series Analysis as Input for Clinical Predictive Modeling: Modeling Cardiac Arrest in a Pediatric ICU" lays out the theoretical background for the project. There are several core concepts presented in this paper. First, traditional multivariate models (where each variable is represented by only one value) provide single point-in-time snapshots of patient status: they are incapable of characterizing deterioration. Since deterioration is consistently identified as a precursor to cardiac arrests, we maintain that the traditional multivariate paradigm is insufficient for predicting arrests. We identify time series analysis as a method capable of characterizing deterioration in an objective, mathematical fashion, and describe how to build a general foundation for predictive modeling using time series analysis results as latent variables. Building a solid foundation for any given modeling task involves addressing a number of issues during the design phase. These include selecting the proper candidate features on which to base the model, and selecting the most appropriate tool to measure them. We also identified several unique design issues that are introduced when time series data elements are added to the set of candidate features. One such issue is in defining the duration and resolution of time series elements required to sufficiently characterize the time series phenomena being considered as candidate features for the predictive model. Once the duration and resolution are established, there must also be explicit mathematical or statistical operations that produce the time series analysis result to be used as a latent candidate feature. In synthesizing the comprehensive framework for building a predictive model based on time series data elements, we identified at least four classes of data that can be used in the model design. The first two classes are shared with traditional multivariate models: multivariate data and clinical latent features. Multivariate data is represented by the standard one value per variable paradigm and is widely employed in a host of clinical models and tools. These are often represented by a number present in a given cell of a table. Clinical latent features derived, rather than directly measured, data elements that more accurately represent a particular clinical phenomenon than any of the directly measured data elements in isolation. The second two classes are unique to the time series data elements. The first of these is the raw data elements. These are represented by multiple values per variable, and constitute the measured observations that are typically available to end users when they review time series data. These are often represented as dots on a graph. The final class of data results from performing time series analysis. This class of data represents the fundamental concept on which our hypothesis is based. The specific statistical or mathematical operations are up to the modeler to determine, but we generally recommend that a variety of analyses be performed in order to maximize the likelihood that a representation of the time series data elements is produced that is able to distinguish between two or more classes of outcomes. The second manuscript, entitled "Building Clinical Prediction Models Using Time Series Data: Modeling Cardiac Arrest in a Pediatric ICU" provides a detailed description, start to finish, of the methods required to prepare the data, build, and validate a predictive model that uses the time series data elements determined in the first paper. One of the fundamental tenets of the second paper is that manual implementations of time series based models are unfeasible due to the relatively large number of data elements and the complexity of preprocessing that must occur before data can be presented to the model. Each of the seventeen steps is analyzed from the perspective of how it may be automated, when necessary. We identify the general objectives and available strategies of each of the steps, and we present our rationale for choosing a specific strategy for each step in the case of predicting cardiac arrest in a pediatric intensive care unit. Another issue brought to light by the second paper is that the individual steps required to use time series data for predictive modeling are more numerous and more complex than those used for modeling with traditional multivariate data. Even after complexities attributable to the design phase (addressed in our first paper) have been accounted for, the management and manipulation of the time series elements (the preprocessing steps in particular) are issues that are not present in a traditional multivariate modeling paradigm. In our methods, we present the issues that arise from the time series data elements: defining a reference time; imputing and reducing time series data in order to conform to a predefined structure that was specified during the design phase; and normalizing variable families rather than individual variable instances. The final manuscript, entitled: "Using Time-Series Analysis to Predict Cardiac Arrest in a Pediatric Intensive Care Unit" presents the results that were obtained by applying the theoretical construct and its associated methods (detailed in the first two papers) to the case of cardiac arrest prediction in a pediatric intensive care unit. Our results showed that utilizing the trend analysis from the time series data elements reduced the number of classification errors by 73%. The area under the Receiver Operating Characteristic curve increased from a baseline of 87% to 98% by including the trend analysis. In addition to the performance measures, we were also able to demonstrate that adding raw time series data elements without their associated trend analyses improved classification accuracy as compared to the baseline multivariate model, but diminished classification accuracy as compared to when just the trend analysis features were added (ie, without adding the raw time series data elements). We believe this phenomenon was largely attributable to overfitting, which is known to increase as the ratio of candidate features to class examples rises. Furthermore, although we employed several feature reduction strategies to counteract the overfitting problem, they failed to improve the performance beyond that which was achieved by exclusion of the raw time series elements. Finally, our data demonstrated that pulse oximetry and systolic blood pressure readings tend to start diminishing about 10-20 minutes before an arrest, whereas heart rates tend to diminish rapidly less than 5 minutes before an arrest.