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.
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.
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.
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.
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.
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.
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.
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 systematically review the efficacy and safety of intravascular cooling versus surface cooling for induced mild hypothermia on the prognosis of patients with cardiac arrest (CA) after resuscitation.MethodsPubMed, EMbase, The Cochrane Library, CNKI and WanFang Data databases were electronically searched to collect cohort studies and randomized controlled trials (RCTs) about the efficacy and safety of intravascular cooling versus surface cooling for CA patients after resuscitation from inception to July 2019. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, then, meta-analysis was performed by using Stata 13.0 software.ResultsA total of 9 cohort studies and 3 RCTs involving 2 104 patients were included. The results of meta-analysis showed that: the rate of good neurological function was significantly higher (OR=1.45, 95%CI 1.18 to 1.78, P<0.001) and the induction time was significantly shorter (SMD=−1.35, 95%CI −2.34 to −0.36, P=0.008) in the intravascular cooling group, but there was no statistical difference in mortality between two groups (OR=0.84, 95%CI 0.70 to 1.00, P=0.053). In terms of complications related to mild hypothermia, the rate of excessive hypothermia (OR=0.27, 95%CI 0.18 to 0.41, P<0.001) and arrhythmia (OR=0.60, 95%CI 0.40 to 0.89, P=0.012) was significantly lower in the patients treated with intravascular cooling, but the incidence of coagulopathy was higher (OR=1.61, 95%CI 1.05 to 2.49, P=0.03). There was no statistical difference in the incidence of pneumonia between two groups (OR=1.20, 95%CI 0.94 to 1.53, P=0.147).ConclusionCurrent evidence shows that intravascular cooling has significant neurological protection for patients with CA compared with surface cooling since it can decrease the induction time and the rate of excessive hypothermia and arrhythmia, but it may have a negative effect on the coagulation function. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.