BACKGROUND: Cardiac etiologies arrest accounts for almost half of all in-hospital cardiac arrest (IHCA), and previous studies have shown that the location of IHCA is an important factor affecting patient outcomes. The aim was to compare the characteristics, causes and outcomes of cardiovascular disease in patients suffering IHCA from different departments of Fuwai hospital in Beijing, China.
METHODS: We included patients who were resuscitated after IHCA at Fuwai hospital between March 2017 and August 2022. We categorized the departments where cardiac arrest occurred as cardiac surgical or non-surgical units. Independent predictors of in-hospital survival were assessed by logistic regression.
RESULTS: A total of 119 patients with IHCA were analysed, 58 (48.7%) patients with cardiac arrest were in non-surgical units, and 61 (51.3%) were in cardiac surgical units. In non-surgical units, acute myocardial infarction/cardiogenic shock (48.3%) was the main cause of IHCA. Cardiac arrest in cardiac surgical units occurred mainly in patients who were planning or had undergone complex aortic replacement (32.8%). Shockable rhythms (ventricular fibrillation/ventricular tachycardia) were observed in approximately one-third of all initial rhythms in both units. Patients who suffered cardiac arrest in cardiac surgical units were more likely to return to spontaneous circulation (59.0% vs. 24.1%) and survive to hospital discharge (40.0% vs. 10.2%). On multivariable regression analysis, IHCA in cardiac surgical units (OR 5.39, 95% CI 1.90-15.26) and a shorter duration of resuscitation efforts (≤ 30 min) (OR 6.76, 95% CI 2.27-20.09) were associated with greater survival rate at discharge.
CONCLUSIONS: IHCA occurring in cardiac surgical units and a duration of resuscitation efforts less than 30 min were associated with potentially increased rates of survival to discharge.

Introduction: Cardiac arrests are traditionally classified according to the setting in which they occur, including out-of-hospital cardiac arrest (OHCA) and in-hospital cardiac arrest (IHCA). However, cardiac arrests that occur in the emergency department (EDCA) could constitute a third category, due to the peculiar characteristics of the emergency department (ED). In recent years, the need to study EDCAs separately from other intra-hospital events has emerged. The aim of this study was to describe the characteristics and outcomes of a cohort of patients experiencing EDCA in an Italian hospital over a 14-year period. Methods: This was a single-centre retrospective observational study conducted in the ED of the Santa Croce e Carle Hospital in Cuneo, Italy. All adult patients who experienced EDCA between 1 January 2010 and 30 June 2023 were included. OHCA patients, those arriving in the ED with on-going resuscitation measures, patients with EDCA not undergoing resuscitation, and patients with post-traumatic cardiac arrest were excluded from the study. The main outcome of the study was survival at hospital discharge with a favourable neurological outcome. Results: 350 cases of EDCA were included. The median age was 78 (63-85) years, and the median Charlson Comorbidity Index score was 5 (3-6). A total of 35 patients (10%) survived to hospital discharge with a cerebral performance category (CPC) Score of 1-2; survival in the ED was 28.3%. The causes of cardiac arrests were identified in 212 cases (60.6%) and included coronary thrombosis (35%), hypoxia (22%), hypovolemia (17%), pulmonary embolism (11%), metabolic (8%), cardiac tamponade (4%), toxins (2%) and hypothermia (1%). Variables associated with survival with a favourable neurological outcome were young age, a lower Charlson Comorbidity Index, coronary thrombosis as the primary EDCA cause, and shockable presenting rhythm; however, only the latter was associated with the outcome in a multivariate age-weighted model. Conclusions: In a cohort of patients with EDCA over a period of more than a decade, the most frequent cause identified was coronary thrombosis; 10% of patients survived with a good neurological status, and the only factor associated with the best prognosis was presenting a shockable rhythm. EDCA should be considered an independent category in order to fully understand its characteristics and outcomes.

UNASSIGNED: An uncommon cause of reflex syncope is carotid sinus syndrome (CSS). In rare cases, this can be caused by compression of the carotid sinus by a progressive or invasive tumour.
UNASSIGNED: A 57-year-old female was presented at the emergency department with recurrent syncope in the morning. After initial observation, no heart rhythm abnormalities or syncope were observed. The day after discharge, she was presented again with a syncope. Hypotension and bradycardia were observed this time. Furthermore, a mass in the neck area was found near the carotid artery. She was admitted to the cardiology department with suspected carotid sinus syndrome for telemetric observation. Diagnostics by biopsy and PET-CT showed a metastasized squamous cell carcinoma of the tongue. Initial treatment of dexamethasone was started after which the recurrence of the syncope decreased. However, during admission, an in-hospital cardiac arrest occurred due to persistent vagal stimulation. As a result, the patient was started on neoadjuvant chemotherapy and midodrine, after which she experienced multiple complications and died.
UNASSIGNED: To the best of our knowledge, this is the first case report that shows an IHCA due to severe hypotension related to a carotid sinus syndrome.

UNASSIGNED: Using deep learning for disease outcome prediction is an approach that has made large advances in recent years. Notwithstanding its excellent performance, clinicians are also interested in learning how input affects prediction. Clinical validation of explainable deep learning models is also as yet unexplored. This study aims to evaluate the performance of Deep SHapley Additive exPlanations (D-SHAP) model in accurately identifying the diagnosis code associated with the highest mortality risk.
UNASSIGNED: Incidences of at least one in-hospital cardiac arrest (IHCA) for 168,693 patients as well as 1,569,478 clinical records were extracted from Taiwan\'s National Health Insurance Research Database. We propose a D-SHAP model to provide insights into deep learning model predictions. We trained a deep learning model to predict the 30-day mortality likelihoods of IHCA patients and used D-SHAP to see how the diagnosis codes affected the model\'s predictions. Physicians were asked to annotate a cardiac arrest dataset and provide expert opinions, which we used to validate our proposed method. A 1-to-4-point annotation of each record (current decision) along with four previous records (historical decision) was used to validate the current and historical D-SHAP values.
UNASSIGNED: A subset consisting of 402 patients with at least one cardiac arrest record was randomly selected from the IHCA cohort. The median age was 72 years, with mean and standard deviation of 69 ± 17 years. Results indicated that D-SHAP can identify the cause of mortality based on the diagnosis codes. The top five most important diagnosis codes, namely respiratory failure, sepsis, pneumonia, shock, and acute kidney injury were consistent with the physician\'s opinion. Some diagnoses, such as urinary tract infection, showed a discrepancy between D-SHAP and clinical judgment due to the lower frequency of the disease and its occurrence in combination with other comorbidities.
UNASSIGNED: The D-SHAP framework was found to be an effective tool to explain deep neural networks and identify most of the important diagnoses for predicting patients\' 30-day mortality. However, physicians should always carefully consider the structure of the original database and underlying pathophysiology.

UNASSIGNED: This study aimed to compare the short-term outcomes of surgical treatment for acute type A aortic dissection between patients undergoing cardiopulmonary arrest at the time of entry into the operating room and patients who received successful preoperative cardiopulmonary resuscitation before entering the operating room or patients who had cardiopulmonary arrest on the operating room table after entering the operating room without cardiopulmonary arrest. In the present study, we focused on the circulatory status at the time of entering the operating room because it is economically and emotionally difficult to cease intervention once the patient has entered the operating room, where surgeons, anesthesiologists, nurses, and perfusionists are already present, all necessary materials are packed off and cardiopulmonary bypass have already been primed.
UNASSIGNED: Twenty (5.5%) of 362 patients who underwent surgical treatment for acute type A aortic dissection between January 2016 and March 2022 had preoperative cardiopulmonary arrest. To compare the early operative outcomes, the patients were divided into the spontaneous circulation group (n = 14, 70.0%) and the non-spontaneous circulation group (n = 6, 30.0%) based on the presence or absence of spontaneous circulation upon entering the operating room. The primary endpoint was postoperative 30-day mortality. The secondary endpoints included in-hospital complications and persistent neurological disorders.
UNASSIGNED: Thirty-day mortality was 65% (n = 13/20) in the entire cohort; 50% (n = 7/14) in the spontaneous circulation group and 100% (n = 6/6) in the non-spontaneous circulation group. The major cardiopulmonary arrest causes were aortic rupture and cardiac tamponade (n = 16; 80.0%), followed by coronary malperfusion (n = 4; 20.0%). Seven patients (50.0%) survived in the spontaneous circulation group, and none survived in the non-spontaneous circulation group (P = .044). Five survivors walked unaided and were discharged home; the remaining two were comatose and paraplegic.
UNASSIGNED: The outcomes were extremely poor in patients with acute type A aortic dissection who had preoperative cardiopulmonary arrest and received ongoing cardiopulmonary resuscitation at entry into the operating room. Therefore, surgical treatment might be contraindicated in such patients.

暂无摘要。

BACKGROUND: Cardiac arrest is a life-threatening condition requiring urgent medical care and is one of the leading causes of death worldwide. Given that in-hospital cardiac arrest (IHCA) is still poorly investigated, data on health-associated quality of life thereafter remains scarce. The available evidence is mostly transferred from out-of-hospital cardiac arrest studies, but the epidemiology and determinants of success might be different. The aim of the study was to investigate the change in the quality of life after in-hospital cardiac arrest and to identify potential risk factors for a poor outcome.
METHODS: This retrospective analysis of data and prospective evaluation of quality of life included all patients surviving an IHCA and being treated by the emergency medical team between 2010 and 2020. The primary endpoint of the study was the quality of life after IHCA at the reference date. Secondary endpoints covered determination of risk factors and predictors of poor outcome after in-hospital cardiopulmonary resuscitation.
RESULTS: In total 604 patients were resuscitated within the period of 11 years and 61 (10%) patients survived until the interview took place. Finally, 48 (79%) patients fulfilled the inclusion criteria and 31 (65%) were included in the study. There was no significant difference in the quality of life before and after cardiac arrest (EQ-5D-5L utility 0.79 vs. 0.78, p = 0.567) and in the EQ-5D-5L visual analogue scale (VAS) score.
CONCLUSIONS: The quality of life before and after IHCA in survivors was good and comparable. The quality of life was mostly affected by reduced mobility and anxiety/depression. Future studies with larger patient samples should focus on potentially modifiable factors that could prevent, warn, and limit the consequences of in-hospital cardiac arrest. Moreover, research on outcomes of IHCA should include available tools for the quality of life assessment.
UNASSIGNED: HINTERGRUND: Ein Herz-Kreislauf-Stillstand (HKS) ist ein lebensbedrohlicher Zustand, der weltweit eine der häufigsten Todesursachen darstellt. Die Literatur bezüglich der Lebensqualität nach kardiopulmonaler Reanimation ist limitiert und beinhaltet hauptsächlich Daten von HKS außerhalb des Krankenhauses. Diese könnten sich bezüglich Epidemiologie und Outcome von innerklinischen Herz-Kreislauf-Stillständen (IHCA) unterscheiden. Ziel dieser Studie war es, die Lebensqualität mittels EQ-5D-5L-Fragebogen nach einem IHCA zu untersuchen und mögliche Risikofaktoren für ein schlechteres Outcome zu ermitteln.
METHODS: Diese retrospektive Datenanalyse und prospektive Erhebung der Lebensqualität umfasste alle Patient:innen, die einen IHCA im Zeitraum von 2010 bis 2020 überlebten. Der primäre Endpunkt der Studie war die Lebensqualität am Stichtag nach einem IHCA. Sekundäre Endpunkte umfassten Prädiktoren für ein schlechteres Outcome.
UNASSIGNED: Insgesamt wurden innerhalb des Zeitraums von 11 Jahren 604 innerklinische Reanimationen durchgeführt, wobei 61 (10 %) der Patient:innen bis zum Zeitpunkt der Befragung überlebten. Achtundvierzig (79 %) Patient:innen erfüllten die Einschlusskriterien, und 31 (65 %) wurden in diese Studie eingeschlossen. Es gab keinen signifikanten Unterschied in der Lebensqualität vor und nach dem HKS (EQ-5D-5L Utilität 0,79 vs. 0,78; p = 0,567) und im EQ-5D-5L-VAS-Score. Eine chirurgische Indikation für die Krankenhausaufnahme war mit einer besseren Lebensqualität nach dem IHCA assoziiert, verglichen mit einer medizinischen Aufnahmeindikation (p = 0,009).
UNASSIGNED: Patient:innen, die einen innerklinischen Herz-Kreislauf-Stillstand überlebten, zeigten eine vergleichbare Lebensqualität vor und nach dem Ereignis. Dennoch berichteten die Patient:innen über eine Verschlechterung der Mobilität und der Angst/Depression. Künftige Studien sollten bei der Erhebung der Folgen eines Herz-Kreislauf-Stillstands die verfügbaren Instrumente zur Bewertung der Lebensqualität miteinbeziehen.

Background: Though out-of-hospital CA (OHCA) is widely reported, data on in-hospital CA (IHCA) and especially cardiac arrest (CA) in the emergency department (CAED) are scarce. This study aimed to determine the frequency, prevalence, and clinical features of unexpected CAED and compare the data with those of expected CAED. Methods: We defined unexpected CAED as CA occurring in patients in non-critical ED-care areas; classified as not requiring strict monitoring. This classification was the modified Japanese Triage and Acuity Scale and physician assessment. A retrospective analysis of cases from 2016 to 2018 was performed, in comparison to other patients experiencing CAED. Results: The 38 cases of unexpected CA in this study constituted 34.5% of CA diagnosed in the ED and 8.4% of all CA treated in the ED. This population did not differ significantly from other CAED regarding demographics, comorbidities, and survival rates. The commonest symptoms were dyspnoea, disorders of consciousness, generalised weakness, and chest pain. The commonest causes of death were acute myocardial infarction, malignant neoplasms with metastases, septic shock, pulmonary embolism, and heart failure. Conclusions: Unexpected CAED represents a group of potentially avoidable CA and deaths. These patients should be analysed, and ED management should include measures aimed at reducing their incidence.

UNASSIGNED: The German Resuscitation Registry was started in 2007 and collects data on out-of-hospital as well as in-hospital cardiac arrest and resuscitation. It has collected more than 400.000 datasets till today.
UNASSIGNED: The German Resuscitation Registry (GRR) is a voluntary quality improvement tool and research tool for out-of-hospital and in-hospital resuscitation as well as in-hospital emergency treatment. It collects data for initial treatment, in-hospital care as well as long-term outcome in an online database. For risk stratification two scores have been developed, published, and implemented. The participants are getting annual and monthly or quarterly reports in addition to the standardized online, 24/7 available analyzing options. An annual public report is published as well. We are reporting on the OHCA annual report of 2022.
UNASSIGNED: In 2022 the incidence of CPR started or continued by EMS was 77.6/100.000 inhabitants/year. The mean age was 70.2 years and 66.7% were male bystanders who started CPR in 51.3%. The average response time for the first EMS vehicle to arrive on scene was 6:55 min.In 57.9% of the cases, they had a presumed cardiac cause. The primary outcome, return-of-spontaneous circulation (ROSC) was achieved in 42.1%.
UNASSIGNED: With its more than 450.000 included datasets, the GRR is an established tool for quality improvement and research in Germany and internationally. The results for the incidence of OHCA and outcome from 2022 are compared to EuReCa TWO data ranging in the upper third of European countries. Furthermore, the GRR has contributed to increasing knowledge of OHCA by conducting and publishing research e.g. on epidemiology, airway management, and medication of OHCA.

BACKGROUND: Extracorporeal cardiopulmonary resuscitation (ECPR) is an alternative method for patients with reversible causes of cardiac arrest (CA) after conventional cardiopulmonary resuscitation (CCPR). However, cardiopulmonary resuscitation (CPR) duration during ECPR can vary due to multiple factors. Healthcare providers need to understand these factors to optimize the resuscitation process and improve outcomes. The aim of this study was to examine the different variables impacting the duration of CPR in patients undergoing ECPR.
METHODS: This retrospective, single-center, observational study was conducted on adult patients who underwent ECPR due to in-hospital CA (IHCA) or out-of-hospital CA (OHCA) at Hamad General Hospital (HGH), the tertiary governmental hospital of Qatar, between February 2016 and March 2020. Univariate and multivariate binary logistic regression analyses were performed to identify the prognostic factors associated with CPR duration, including demographic and clinical variables, as well as laboratory tests.
RESULTS: The mean ± standard division age of the 48 participants who underwent ECPR was 41.50 ± 13.15 years, and 75% being male. OHCA and IHCA were reported in 77.1% and 22.9% of the cases, respectively. The multivariate analysis revealed that several factors were significantly associated with an increased CPR duration: higher age (OR: 1.981, 95%CI: 1.021-3.364, P = 0.025), SOFA score (OR: 3.389, 95%CI: 1.289-4.911, P = 0.013), presence of comorbidities (OR: 3.715, 95%CI: 1.907-5.219, P = 0.026), OHCA (OR: 3.715, 95%CI: 1.907-5.219, P = 0.026), and prolonged collapse-to-CPR time (OR: 1.446, 95%CI:1.092-3.014, P = 0.001). Additionally, the study found that the initial shockable rhythm was inversely associated with the duration of CPR (OR: 0.271, 95%CI: 0.161-0.922, P = 0.045). However, no significant associations were found between laboratory tests and CPR duration.
CONCLUSIONS: These findings suggest that age, SOFA score, comorbidities, OHCA, collapse-to-CPR time, and initial shockable rhythm are important factors influencing the duration of CPR in patients undergoing ECPR. Understanding these factors can help healthcare providers better predict and manage CPR duration, potentially improving patient outcomes. Further research is warranted to validate these findings and explore additional factors that may impact CPR duration in this population.