Currently, cardiac arrest has become a major public health problem, which has a high incidence rate and a high mortality rate in humans. With the continuous advancement of cardiopulmonary resuscitation techniques, the overall prognosis of cardiac arrest victims is gradually improved. However, cardiac arrest events under special circumstances are still serious threats to human health. This article reviews the progress of epidemiology, pathogenesis, treatment characteristics, and key points of cardiopulmonary resuscitation in those special cardiac arrest events associated with trauma, poisoning, drowning and pregnancy.
Although the survival rate reported in each center is different, according to the present studies, compared to conventional cardiopulmonary resuscitation (CCPR), extracorporeal cardiopulmonary resuscitation (ECPR) can improve the survival rate of cardiac arrest patient, no matter out-of-hospital or in-hospital. The obvious advantage of ECPR is that it can reduce the nervous system complications in the cardiac arrest patients and improve survival rate to hospital discharge. However, ECPR is expensive and without the uniformed indications for implantation. The prognosis for patients with ECPR support is also variant due to the different etiology. If we want to achieve better result, the ECPR technology itself needs to be further improved.
Since the outbreak of the coronavirus disease 2019, the incidence and mortality of cardiac arrest have increased significantly worldwide, and the management of cardiac arrest is facing new challenges. The European Resuscitation Council issued the 2021 European Resuscitation Council Guidelines in March 2021 to update the important parts of cardiopulmonary resuscitation and added recommendations for the management of cardiopulmonary resuscitation during the coronavirus disease 2019 epidemic. This article will compare the difference between this guideline and the 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care and integrate some key points, review literature and then summarize the latest research progress in cardiopulmonary resuscitation since the outbreak of the coronavirus disease 2019 epidemic. The content mainly involves cardiopulmonary resuscitation during the coronavirus disease 2019 epidemic, early prevention, early recognition, application of new technologies, airway management, extracorporeal cardiopulmonary resuscitation and post-resuscitation treatment.
ObjectiveTo systematically review the early clinical prediction value of machine learning (ML) for cardiac arrest (CA).MethodsPubMed, EMbase, WanFang Data and CNKI databases were electronically searched to retrieve all ML studies on predicting CA from January 2015 to February 2021. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. The value of each model was evaluated based on the area under receiver operating characteristic curve (AUC) and accuracy.ResultsA total of 38 studies were included. In terms of data sources, 13 studies were based on public database, and other studies retrospectively collected clinical data, in which 21 directly predicted CA, 3 predicted CA-related arrhythmias, and 9 predicted sudden cardiac death. A total of 51 models had been adopted, among which the most popular ML methods included artificial neural network (n=11), followed by random forest (n=9) and support vector machine (n=5). The most frequently used input feature was electrocardiogram parameters (n=20), followed by age (n=12) and heart rate variability (n=10). Six studies compared the ML models with other traditional statistical models and the results showed that the AUC value of ML was generally higher than that in traditional statistical models.ConclusionsThe available evidence suggests that ML can accurately predict the occurrence of CA, and the performance is significantly superior to traditional statistical model in certain cases.
ObjectiveTo compare the effects of different airway management strategies on outcomes of patients with out-of-hospital cardiac arrest (OHCA).MethodsWe searched PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, and WanFang Data for relevant studies comparing the influence of different airway management strategies on outcomes of OHCA patients. The deadline was up to 31st May, 2019. Grading of Recommendations Assessment, Development and Evaluation system 3.6 was used for quality assessment, and RevMan 5.3 software was used for meta-analysis. Odds ratio (OR) and 95% confidence interval (CI) were used to conduct the comparison. Results A total of 20 studies were finally enrolled, including 880 567 OHCA patients. Compared with supraglottic airway (SGA), bag-valve mask (BVM) improved the rate of survival to discharge of OHCA patients [OR=1.45, 95%CI (1.01, 2.08), P=0.04], while the rate of return of spontaneous circulation (ROSC) was not improved (P>0.05); in the subgroup analysis, BVM and SGA had similar effect on the rate of ROSC and the rate of survival to discharge in Asian countries (P>0.05), while BVM performed better than SGA in the two rates in European and American countries. BVM and endotracheal intubation (ETI) had similar effect on the two rates (P>0.05). In Asian countries, ETI performed better than BVM in the rate of ROSC [OR=0.63, 95%CI (0.49, 0.81), P=0.000 3], and there was no statistically significant difference in the rate of survival to discharge between ETI and BVM (P>0.05); while in European andAmerican countries, BVM performed better than ETI in the rate of survival to discharge [OR=3.10, 95%CI (2.69, 3.56), P<0.000 01], and there was no statistically significant difference in the rate of ROSC between ETI and BVM (P>0.05). Compared with SGA, ETI improved the rate of ROSC [OR=0.68, 95%CI (0.62, 0.76), P<0.000 01] and the rate of survival to discharge [OR=0.89, 95%CI (0.81, 0.98), P=0.02]. In Asian countries, ETI performed better than SGA in the two rates (P<0.05); while in European and American countries and New Zealand, ETI performed better than SGA in the rate of ROSC (P<0.05), but there was no statistically significant difference in the rate of survival to discharge (P>0.05). Conclusions Different airway management strategies have differente effects on OHCA patients. The optimal airway management strategy when rescuing OHCA patients might be selected based on local emergency medical service system conditions.
Objective To systematically review risk prediction models of in-hospital cardiac arrest in patients with cardiovascular disease, and to provide references for related clinical practice and scientific research for medical professionals in China. Methods Databases including CBM, CNKI, WanFang Data, PubMed, ScienceDirect, Web of Science, The Cochrane Library, Wiley Online Journals and Scopus were searched to collect studies on risk prediction models for in-hospital cardiac arrest in patients with cardiovascular disease from January 2010 to July 2022. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias of the included studies. Results A total of 5 studies (4 of which were retrospective studies) were included. Study populations encompassed mainly patients with acute coronary syndrome. Two models were modeled using decision trees. The area under the receiver operating characteristic curve or C statistic of the five models ranged from 0.720 to 0.896, and only one model was verified externally and for time. The most common risk factors and immediate onset factors of in-hospital cardiac arrest in patients with cardiovascular disease included in the prediction model were age, diabetes, Killip class, and cardiac troponin. There were many problems in analysis fields, such as insufficient sample size (n=4), improper handling of variables (n=4), no methodology for dealing with missing data (n=3), and incomplete evaluation of model performance (n=5). Conclusion The prediction efficiency of risk prediction models for in-hospital cardiac arrest in patients with cardiovascular disease was good; however, the model quality could be improved. Additionally, the methodology needs to be improved in terms of data sources, selection and measurement of predictors, handling of missing data, and model evaluations. External validation of existing models is required to better guide clinical practice.
American Heart Association issued American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care in October 2020. A sixth link, recovery, has been added to both the adult out-of-hospital cardiac arrest chain and in-hospital cardiac arrest chain in this version of the guidelines to emphasize the importance of recovery and survivorship for resuscitation outcomes. Analogous chains of survival have also been developed for adult out-of-hospital cardiac arrest and in-hospital cardiac arrest. The major new and updated recommendations involve the early initiation of cardiopulmonary resuscitation by lay rescuers, early administration of epinephrine, real-time audiovisual feedback, physiologic monitoring of cardiopulmonary resuscitation quality, double sequential defibrillation not supported, intravenous access preferred over intraosseous, post-cardiac arrest care and neuroprognostication, care and support during recovery, debriefings for rescuers, and cardiac arrest in pregnancy. This present review aims to interpret these updates by reviewing the literature and comparing the recommendations in these guidelines with previous ones.
American Heart Association (AHA) updated the advanced cardiovascular life support use of antiarrhythmic drugs during and immediately after cardiac arrest in the AHA guidelines for cardiopulmonary resuscitation and emergency cardiovascular care in November 2018. Based on the latest progress of relative evidence-based clinical evidence and 2015 AHA guidelines for cardiopulmonary resuscitation and cardiovascular emergency cardiovascular care. This update gave recommends on the use of antiarrhythmic drugs during resuscitation from adult shock-refractory ventricular fibrillation (VF) and pulseless ventricular tachycardia (pVT) cardiac arrest and immediately after restoration of spontaneous circulation following shock-refractory VF/pVT cardiac arrest, respectively. This review aims to interpret this update by reviewing the literature and comparing the recommends in this update with other guidelines.
The treatment of organ function damage secondary to return of spontaneous circulation in patients with cardiac arrest is an important part of advanced life support. The incidence of lung injury secondary to return of spontaneous circulation in patients with cardiac arrest is as high as 79%. Understanding the characteristics and related mechanisms of lung injury secondary to return of spontaneous circulation in patients with cardiac arrest, and early identification and treatment of lung injury secondary to return of spontaneous circulation are crucial to the clinical treatment of patients with cardiac arrest. Therefore, this article reviews the research progress on the characteristics, risk factors, mechanisms and treatment of lung injury secondary to return of spontaneous circulation in patients with cardiac arrest, in order to provide a reference for the research and clinical diagnosis and treatment of lung injury secondary to return of spontaneous circulation in patients with cardiac arrest.
Cardiopulmonary resuscitation (CPR) is a very important treatment after cardiac arrest. The optimal treatment strategy of CPR is uncertain. With the accumulation of clinical medical evidence, the CPR treatment recommendations have been changed. This article will review the current hot issues and progress, including the pathophysiological mechanisms of CPR, how to achieve high-quality chest compression, how to achieve CPR quality monitoring, how to achieve optimal CPR for different individuals and how to use antiarrhythmic drugs.