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.
Extracorporeal cardiopulmonary resuscitation (ECPR) is a salvage therapy for patients suffering cardiac arrest refractory to conventional resuscitation, and provides circulatory support in patients who fail to achieve a sustained return of spontaneous circulation. ECPR serves as a bridge therapy that maintains organ perfusion whilst the underlying etiology of the cardiac arrest is determined and treated. Increasing recognition of the survival benefit associated with ECPR has led to increased use of ECPR during the past decade. Commonly used indications for ECPR are: age<70 years, initial rhythm of ventricular fibrillation or ventricular tachycardia, witnessed arrest, bystander cardiopulmonary resuscitation within 5 min, failure to achieve sustained return of spontaneous circulation within 15 min of beginning cardiopulmonary resuscitation. This review provides an overview of ECPR utilization, recent outcomes, risk factors, and complications of ECPR. Identifying ECPR indications, rapid deployment of extracorporeal life support equipment, and high-quality ECPR management strategies are of paramount importance to improve survival.
Objective To investigate the relationship between thrombocytopenia after the restoration of spontaneous circulation and short-term prognosis of patients with in-hospital cardiac arrest. Methods The demographic data, post-resuscitation vital signs, post-resuscitation laboratory tests, and the 28-day mortality rate of patients who experienced in-hospital cardiac arrest at the Emergency Department of West China Hospital, Sichuan University between January 1st, 2016 and December 31st, 2016 were retrospectively analyzed. Logistic regression was used to analyze the correlation between thrombocytopenia after the return of spontaneous circulation and the 28-day mortality rate in these cardiac arrest patients. Results Among the 285 patients included, compared with the normal platelet group (n=130), the thrombocytopenia group (n=155) showed statistically significant differences in red blood cell count, hematocrit, white blood cell count, prothrombin time, activated partial thromboplastin time, and international normalized ratio (P<0.05). The 28-day mortality rate was higher in the thrombocytopenia group than that in the normal platelet group (84.5% vs. 71.5%, P=0.008). Multiple logistic regression analysis indicated that thrombocytopenia [odds ratio =2.260, 95% confidence interval (1.153, 4.429), P=0.018] and cardiopulmonary resuscitation duration [odds ratio=1.117, 95% confidence interval (1.060, 1.177), P<0.001] were independent risk factors for 28-day mortality in patients with in-hospital cardiac arrest. Conclusion Thrombocytopenia after restoration of spontaneous circulation is associated with poor short-term prognosis in patients with in-hospital cardiac arrest.
American Heart Association updated the guidelines for cardiopulmonary resuscitation (CPR) and emergency cardiovascular care in November 2019. This focused update incorporates the systematic review conducted by the International Liaison Committee on Resuscitation, an expert group consisting of hundreds of international resuscitation scientists, to identify the new evidence supporting the basic and advanced life support and first aid in emergency medical care. This focused update involves the life chain of CPR (dispatcher-assisted CPR and cardiac arrest centers), advanced cardiovascular life support (advanced airways, vasopressors, and extracorporeal CPR), and first aid for presyncope. This present review aims to interpret these updates by reviewing the literature and comparing the recommendations in this update with previous guidelines.
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 investigate the effects of esophageal cooling (EC) on lung injury and systemic inflammatory response after cardiopulmonary resuscitation in swine.MethodsThirty-two domestic male white pigs were randomly divided into sham group (S group, n=5), normothermia group (NT group, n=9), surface cooling group (SC group, n=9), and EC group (n=9). The animals in the S group only experienced the animal preparation. The animal model was established by 8 min of ventricular fibrillation and then 5 min of cardiopulmonary resuscitation in the other three groups. A normal temperature of (38.0±0.5)℃ was maintained by surface blanket throughout the experiment in the S and NT groups. At 5 min after resuscitation, therapeutic hypothermia was implemented via surface blanket or EC catheter to reach a target temperature of 33℃, and then maintained until 24 h post resuscitation, and followed by a rewarming rate of 1℃/h for 5 h in the SC and EC groups. At 1, 6, 12, 24 and 30 h after resuscitation, the values of extra-vascular lung water index (ELWI) and pulmonary vascular permeability index (PVPI) were measured, and meanwhile arterial blood samples were collected to measure the values of oxygenation index (OI) and venous blood samples were collected to measure the serum levels of tumor necrosis factor-α (TNF-α) and inerleukin-6 (IL-6). At 30 h after resuscitation, the animals were euthanized, and then the lung tissue contents of TNF-α, IL-6 and malondialdehyde, and the activities of superoxide dismutase (SOD) were detected.ResultsAfter resuscitation, the induction of hypothermia was significantly faster in the EC group than that in the SC group (2.8 vs. 1.5℃/h, P<0.05), and then its maintenance and rewarming were equally achieved in the two groups. The values of ELWI and PVPI significantly decreased and the values of OI significantly increased from 6 h after resuscitation in the EC group and from 12 h after resuscitation in the SC group compared with the NT group (all P<0.05). Additionally, the values of ELWI and PVPI were significantly lower and the values of OI were significantly higher from 12 h after resuscitation in the EC group than those in the SC group [ELWI: (13.4±3.1) vs. (16.8±2.7) mL/kg at 12 h, (12.4±3.0) vs. (16.0±3.6) mL/kg at 24 h, (11.1±2.4) vs. (13.9±1.9) mL/kg at 30 h; PVPI: 3.7±0.9 vs. 5.0±1.1 at 12 h, 3.4±0.8 vs. 4.6±1.0 at 24 h, 3.1±0.7 vs. 4.2±0.7 at 30 h; OI: (470±41) vs. (417±42) mm Hg (1 mm Hg=0.133 kPa) at 12 h, (462±39) vs. (407±36) mm Hg at 24 h, (438±60) vs. (380±33) mm Hg at 30 h; all P<0.05]. The serum levels of TNF-α and IL-6 significantly decreased from 6 h after resuscitation in the SC and EC groups compared with the NT group (all P<0.05). Additionally, the serum levels of IL-6 from 6 h after resuscitation and the serum levels of TNF-α from 12 h after resuscitation were significantly lower in the EC group than those in the SC group [IL-6: (299±23) vs. (329±30) pg/mL at 6 h, (336±35) vs. (375±30) pg/mL at 12 h, (297±29) vs. (339±36) pg/mL at 24 h, (255±20) vs. (297±33) pg/mL at 30 h; TNF-α: (519±46) vs. (572±49) pg/mL at 12 h, (477±77) vs. (570±64) pg/mL at 24 h, (436±49) vs. (509±51) pg/mL at 30 h; all P<0.05]. The contents of TNF-α, IL-6, and malondialdehyde significantly decreased and the activities of SOD significantly increased in the SC and EC groups compared with the NT group (all P<0.05). Additionally, lung inflammation and oxidative stress were further significantly alleviated in the EC group compared with the SC group [TNF-α: (557±155) vs. (782±154) pg/mg prot; IL-6: (616±134) vs. (868±143) pg/mg prot; malondialdehyde: (4.95±1.53) vs. (7.53±1.77) nmol/mg prot; SOD: (3.18±0.74) vs. (2.14±1.00) U/mg prot; all P<0.05].ConclusionTherapeutic hypothermia could be rapidly induced by EC after resuscitation, and further significantly alleviated post-resuscitation lung injury and systemic inflammatory response compared with conventional surface cooling.
Elderly patients account for 80% of cardiac arrest patients. The incidence of poor neurological prognosis after return of spontaneous circulation of these patients is as high as 90%, much higher than that of young. This is related to the fact that the mechanism of hippocampal brain tissue injury after ischemia-reperfusion in elderly cardiac arrest patients is aggravated. Therefore, this study reviews the possible mechanisms of poor neurological prognosis after return of spontaneous circulation in elderly cardiac arrest animals, and the results indicate that the decrease of hippocampal perfusion and the number of neurons after resuscitation are the main causes of the increased hippocampal injury, among which oxidative stress, mitochondrial dysfunction and protein homeostasis disorder are the important factors of cell death. This review hopes to provide new ideas for the treatment of elderly patients with cardiac arrest and the improvement of neurological function prognosis through the comparative analysis of elderly and young animals.
Poisoning is a frequent reason for patients to seek emergency medical attention, and in severe cases, it can result in severe cardiac disease or cardiac arrest. American Heart Association published the guideline for the management of patients with cardiac arrest or life-threatening toxicity due to poisoning in Circulation on September 18, 2023. Based on the literature, this article interprets the suggestions related to neurotoxic substances in this guideline, mainly involving the clinical management of benzodiazepines, opioids, cocaine, local anesthetics, and sympathomimetic substances poisoning. By interpreting the recommended points of the guide in detail, it is hoped that it will be helpful for the diagnosis and treatment of readers.
Sudden cardiac arrest (SCA) is a lethal cardiac arrhythmia that poses a serious threat to human life and health. However, clinical records of sudden cardiac death (SCD) electrocardiogram (ECG) data are extremely limited. This paper proposes an early prediction and classification algorithm for SCA based on deep transfer learning. With limited ECG data, it extracts heart rate variability features before the onset of SCA and utilizes a lightweight convolutional neural network model for pre-training and fine-tuning in two stages of deep transfer learning. This achieves early classification, recognition and prediction of high-risk ECG signals for SCA by neural network models. Based on 16 788 30-second heart rate feature segments from 20 SCA patients and 18 sinus rhythm patients in the international publicly available ECG database, the algorithm performance evaluation through ten-fold cross-validation shows that the average accuracy (Acc), sensitivity (Sen), and specificity (Spe) for predicting the onset of SCA in the 30 minutes prior to the event are 91.79%, 87.00%, and 96.63%, respectively. The average estimation accuracy for different patients reaches 96.58%. Compared to traditional machine learning algorithms reported in existing literatures, the method proposed in this paper helps address the requirement of large training datasets for deep learning models and enables early and accurate detection and identification of high-risk ECG signs before the onset of SCA.