Active clinical trials for "Heart Arrest"

Rationale: 30-70% of comatose patients admitted to the intensive care unit (ICU) after cardiac arrest never regain consciousness as a result of post anoxic encephalopathy (PAE). Early identification of patients without potential for recovery of brain functioning may prevent inappropriate continuation of medical treatment and improve communication between doctors and patients. However, current diagnostic and prognostic measures can identify only 20-50% of the patients with irreversible brain damage, precluding cerebral recovery and awakening. Also, the pathophysiology of brain damage is largely unclear. New magnetic resonance imaging (MRI) sequences hold potential to substantially improve outcome prediction. Objectives: 1. To estimate the additional value of early MRI monitoring for the prediction of neurological outcome of comatose patients after cardiac arrest. 2. To gain insight in the pathophysiology of PAE by associating MRI findings with histopathological studies of brain tissue obtained from non-survivors. Study design: prospective cohort study. Study population: 100 subsequent comatose patients after cardiac arrest, admitted to the ICU. Intervention: In addition to standard treatments, patients will undergo MRI of the brain at day 3, 7, and three months after cardiac arrest. A subgroup of patients will be scanned within 24 hours after cardiac arrest, to assess feasibility and to gain more insight in the evolution of brain damage in PAE. Survivors will be followed for one year. Outcome measurements will focus on disabilities, quality of life, and depression. MRI measures will be related to outcome. Main study parameters/endpoints: The primary outcome measure is neurological outcome, defined as the score on the Cerebral Performance Category (CPC) at six months, dichotomized as good (CPC 1-2 = no or moderate neurological disability) or poor (CPC 3-5 = severe disability, coma, or death). Secondary outcome measures include cognitive functioning, depression, and quality of life at one year, as well as histopathological damage of brain tissue of non-survivors.

Identification of Causes and Risk Factors for Out-of-Hospital Cardiac Arrest through Development of Prediction Model and Novel Biomarkers Study Objectives: To identify causes and risk factors of OHCA incidence that are associated with chronic diseases and health behaviors To identify high risk population for OHCA incidence through development of a prediction model To develop novel biomarkers associated with OHCA incidence, survival, and disabilities

Out-of-hospital and in-hospital cardiac arrest (CA) requiring intensive care unit management. Data collection using a standardized form : demographic data and data related to the CA according to the Utstein guidelines.. Circumstances of onset, dates and times of onset and control of abnormal movements (myoclonus and.or seizures). On-scene clinical findings, pre-hospital and hospital care providers, timing of various treatments and supportive care, results of etiological investigations, cause of CA. Dates and times of EEG monitoring, EEG results. Outcomes including vital status and Cerebral Performance Category scale score at ICU and hospital discharge, day-90 and 1-year after CA and determined based on data in the ICU and/or hospital/neurologist charts and/or general practitionner phone interview.

Cardiac arrest causes the heart to stop functioning to maintain circulation that provides oxygen to the brain. The global incidence of cardiac arrest is 50 to 60 per 100,000 people per year. The incidence of cardiac arrest in Indonesia in 2016 was 350,000 cases, in which 12% were successfully resuscitated, compared to the global success rate of 24.8%. Cardiac arrest events urgently require CPR action that is useful to save lives in an emergency. The application of Code Blue aims to reduce the mortality rate and increase the rate of return of spontaneous circulation. The Code Blue team itself includes a set of teams who are trained in the handling of cardiorespiratory arrest.

It has been shown that elevation of the heart's respiratory quotient after cardiac surgery is predictive of the complications occurrence. In addition, a high heart's respiratory quotient is predictive of anaerobic metabolism after cardiac surgery. In the wake of cardiorespiratory arrest, the presence of anaerobic metabolism reflected by hyperlactatemia is an important prognostic factor. However, this monitoring is invasive and discontinuous. The hypothesis of the study is to show that a rise in the respiratory quotient by a non-invasive monitoring is a factor of poor prognosis in the wake of a Cardiac Arrest.

Venoarterial extracorporeal membrane oxygenation (VA ECMO)-also referred to as extracorporeal life support-is a form of temporary mechanical circulatory support and simultaneous extracorporeal gas exchange. The objective of this observational, cohort study is to evaluate the short-term and long-term outcomes of patients with VA ECMO.

To quickly assess the patient's cardiac function and structure through ultrasound

Incidence of the background information, incidence and special characteristics of out- and in-hospital cardiac arrest at a tertiary hospital in Germany.

This study aims to evaluate the average time taken by the Medical Regulation Assistants (MRA) to detect a cardiac arrest during the call to the EMS as well as the factors influencing this delay. Its main objective is to evaluate the delay, in seconds, between the call being picked up and the recognition of a cardiac arrest by the medical regulation assistant at the EMS 95

Risk factors for cardiac arrest during spine surgery have been well defined, including lumbar fusion, age over 65 years, obesity, cardiovascular disease, ethnicity and ASA status. Bradycardia and asystole have been described under general anaesthesia in combined surgical cohorts: Proposed mechanisms include unopposed parasympathetic activation, enhanced vasovagal response to decreased venous return, and psychiatric stressors. The investigators prospectively will review patients candidates for spine surgery to explore potential incidence, contributory factors and outcomes to unexpected transient intraoperative haemodynamic instability, arrhythmia, and cardiac arrest during spine surgery as these data are needed to aid risk stratification and improve decision making for spine care teams.