[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"cardiac-arrest-ca\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:cardiac-arrest-ca":28},{"pageToken":4,"total":5,"offset":6,"count":7,"results":8},null,44,0,25,[9,48,77,108,146,173,202,232,256,278,291,314,350,372,403,425,449,473,498,521,544,570,594,613,636],{"id":10,"slug":11,"hasResults":12,"nctId":13,"briefTitle":14,"officialTitle":15,"acronym":4,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":29,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":47},"100053670","effect-of-aed-optimized-telephone-assisted-cpr-instructions-on-no-flow-time-and-chest-compression-fraction-100053670",false,"NCT07520877","Effect of AED-optimized Telephone-assisted CPR Instructions on No-flow Time and Chest Compression Fraction","Effect of AED-optimized Telephone-assisted CPR Instructions on No-flow Time and Chest Compression Fraction in a Single-rescuer Cardiac Arrest Scenario - a Randomized-controlled Simulation Study","Inclusion Criteria:\n\n* Adolescents and adults (≥16 years)\n* Healthcare professionals or laypersons\n* Voluntary participation\n\nExclusion Criteria:\n\n* pregnant women\n* people with cardio-pulmonary and musculoskeletal diseases or any other impairment that would risk harm for the volunteer while performing CPR\n* physical and\u002For psychological disabilities\n* technical issue during data collection",true,"ALL","16 Years",{"count":21,"type":22},80,"ESTIMATED","INTERVENTIONAL",[25],"NA","Out-of-hospital cardiac arrest (OHCA) remains a leading cause of mortality worldwide, with survival highly dependent on the immediate initiation of bystander cardiopulmonary resuscitation (CPR). Early recognition, prompt chest compressions, and rapid defibrillation are critical components of the chain of survival. Telephone-assisted CPR (T-CPR) provided by emergency dispatchers has been shown to significantly increase bystander intervention rates and improve outcomes. While the availability and use of automated external defibrillators (AEDs) further enhance survival, the optimal integration of AED use into dispatcher-guided, single-rescuer scenarios remains insufficiently studied.\n\nThis prospective, randomized, controlled simulation study aims to evaluate the effect of modified telephone cardiopulmonary resuscitation (T-CPR) instructions optimized for automated external defibrillator (AED) use on no-flow time and chest compression fraction (CCF) during single-rescuer resuscitation. Participants are randomized to receive either standard T-CPR instructions or enhanced instructions focusing on minimizing interruptions in chest compressions and reducing time to first compression during AED use.",[28],"Cardiac Arrest (CA)",[30,31,32,33,34],"cardiac arrest","automated external defibrillator","dispatcher-assisted cardiopulmonary resuscitation","no-flow time","chest compression fraction","RECRUITING","2026-07-09",{"date":38,"type":39},"2026-07-13","ACTUAL",{"date":41,"type":39},"2026-07-10",{"date":43,"type":22},"2026-09-30",{"name":45,"class":46},"University of Pecs","OTHER",1,{"id":49,"slug":50,"hasResults":12,"nctId":51,"briefTitle":52,"officialTitle":52,"acronym":53,"eligibilityCriteria":54,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":56,"targetDuration":4,"studyType":58,"phases":4,"briefSummary":59,"conditions":60,"keywords":4,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":71,"completionDateStruct":73,"leadSponsor":75,"locationsCount":47},"100639950","recovery-trajectory-for-coma-and-disorders-of-consciousness-100639950","NCT07614074","Recovery Trajectory for Coma and Disorders of Consciousness","Coma Cohort","Inclusion Criteria:\n\n* Age greater than or equal to 18 years on the day of hospital admission\n* Coma duration of at least 24 hours from presentation to the receiving hospital, or died prior to the 24 hour timepoint without return of consciousness. Coma defined as: GCS score of less than or equal to 10 AND GCS score of less than 6 on the motor component of the GCS(not following commands) AND GCS score less than 3 on the verbal component AND alteration of consciousness not explained by sedation only\n* Coma due to a neurological process (Including but not limited to: trauma, stroke, hypoxic- ischemic brain injury (HIBI), CNS infection, seizure, other processes at the discretion of the investigator)\n* Admission to the intensive care unit, or deceased prior to admission.\n\nExclusion Criteria:\n\n* Pre-existing score of 5 or less on the motor component of the Glasgow Coma Scale prior to hospital admission.\n* Transfer from another acute care hospital in which the motor component of the Glasgow Coma Scale on the day after initial hospital arrival is not known or cannot be reconstructed from medical records or history.\n* Coma due to sepsis, systemic metabolic processes (ex: organ failure or sedation).\n* GCS score of greater than 2 for eye opening with lack of command following due to a focal brain lesion causing receptive aphasia.\n* Prisoner","18 Years",{"count":57,"type":22},2000,"OBSERVATIONAL","This study aims to better understand recovery after coma caused by serious neurologic illness or injury. Patients who are unconscious (in a coma or disorder of consciousness) due to conditions such as stroke, cardiac arrest, traumatic brain injury, seizures, brain infection, or other neurologic emergencies may be enrolled during their hospitalization.\n\nThe purpose of this observational research study is to learn which medical, neurologic, psychological, and social factors are associated with recovery over time. Researchers will collect information from the medical record during hospitalization, including details about the patient's illness, treatments received, brain imaging, and neurologic examinations.\n\nFor patients who survive hospitalization, the study team will contact participants or their caregivers after discharge to assess recovery at scheduled time points using questionnaires and structured interviews about physical function, quality of life, emotional well-being, and daily activities.\n\nThis study does not assign participants to any experimental treatment. Participation will not change the medical care patients receive. Information learned from this study may help improve future care for patients with coma and disorders of consciousness.",[61,62,28,63,64,65,66,67],"Coma","Disorders of Consciousness","Traumatic Brain Injuries","Ischemic Stroke","Hemorrhagic Stroke, Intracerebral","Meningitis\u002FEncephalitis","Status Epilepticus","2026-05-28",{"date":70,"type":39},"2026-06-02",{"date":72,"type":39},"2023-09-26",{"date":74,"type":22},"2033-09",{"name":76,"class":46},"University of California, San Francisco",{"id":78,"slug":79,"hasResults":12,"nctId":80,"briefTitle":81,"officialTitle":82,"acronym":83,"eligibilityCriteria":84,"healthyVolunteers":12,"sex":18,"minAge":4,"maxAge":4,"enrollmentInfo":85,"targetDuration":4,"studyType":58,"phases":4,"briefSummary":87,"conditions":88,"keywords":92,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":99,"lastUpdatePostDateStruct":100,"startDateStruct":102,"completionDateStruct":104,"leadSponsor":106,"locationsCount":47},"100611983","evaluation-and-optimization-of-telephone-triage-using-artificial-intelligence-ai-models-for-the-detection-of-demands-for-time-dependent-pathology-at-the-emergency-and-urgent-care-coordination-center-ccue-100611983","NCT07247669","Evaluation and Optimization of Telephone Triage Using Artificial Intelligence (AI) Models for the Detection of Demands for Time-dependent Pathology at the Emergency and Urgent Care Coordination Center (CCUE).","Proyecto \"trIAje\": evaluación y optimización Del Triaje telefónico Mediante Modelos de Inteligencia Artificial (IA) Para la detección de Demandas Por patología Tiempo-dependiente en el Centro Coordinador de Urgencias y Emergencias (CCUE).","TrIAje Project","Inclusion Criteria:\n\nTelephone calls recorded with codes A36 + A58 (unconsciousness\u002Fcardiorespiratory arrest), A16 (respiratory distress), A23 (non-traumatic chest pain) and A54 (stroke).\n\nExclusion Criteria:\n\n* Demands with relevant information about the patient or the event incomplete or absent.",{"count":86,"type":22},5000000,"Improving Telephone Triage in Emergency Calls with AI The Coordinating Centre for Urgencies and Emergencies in Andalusia (CCUE) handles thousands of calls every day. Each call needs to be assessed based on the information given over the phone to determine how serious the case is. The reasons for calling range from minor health issues to life-threatening emergencies like cardiac arrest (CPA).\n\nThis project focuses on improving telephone triage for four key emergency situations that often indicate severe or life-threatening conditions:\n\nUnconsciousness \u002F Cardiac arrest Difficulty breathing Chest pain (non-traumatic, possible heart-related issues) Stroke symptoms Our goal is to make telephone triage more accurate and efficient by using advanced Artificial Intelligence (AI) techniques, including Machine Learning (ML) and Natural Language Processing (NLP). These tools will help CCUE operators make better and faster decisions, ensuring that patients receive the right care as quickly as possible.\n\nHow it will be done:\n\nThe investigators will analyze anonymized historical call data from the emergency coordination system (CCR) and digital clinical records (HCDM). This includes:\n\nStructured data: Predefined fields, such as answers to standard triage questions.\n\nUnstructured data: Free-text notes and other information recorded during the call.\n\nA hybrid AI approach will be used, combining:\n\nTraditional AI methods (supervised learning and deep learning) to classify cases.\n\nGenerative AI techniques (advanced language models) to extract useful insights from free-text data.\n\nBuilding the Best Prediction Model\n\nTo find the most effective AI model, we will test different machine learning techniques, including:\n\nDecision Trees Random Forests Support Vector Machines (SVM) XGBoost Ensemble methods Neural Networks We will also analyze which questions and variables are the most important in predicting the severity of a case. Based on this, we will suggest improvements to the current triage questions to enhance accuracy.\n\nMeasuring Success\n\nWe will evaluate the AI model using key performance metrics, including:\n\nAccuracy (overall correctness) Sensitivity (ability to detect real emergencies) Specificity (ability to avoid false alarms) False Positive \\& False Negative Rates (how often the system makes mistakes) Likelihood Ratios (how well the system distinguishes between urgent and non-urgent cases) F1-Score \\& ROC Curve (overall performance indicators) Why This Matters This project will assess how effective the current telephone triage system is and develop a new AI-powered model to improve it. The goal is to help emergency operators quickly identify the most serious cases, reducing response times and improving patient outcomes. In the future, the investigators aim to integrate this improved AI model into the CCUE system to enhance emergency response across Andalusia.",[89,90,91,28,61],"Chest Pain","Stroke Acute","Respiratory Failure",[93,94,95,96,97,98],"Emergency Medical Communication Center","Triage Telephone","Emergency Medical Services","Priority","Machine Learning","Artificial Intelligence","2026-05-12",{"date":101,"type":39},"2026-05-13",{"date":103,"type":39},"2025-03-01",{"date":105,"type":22},"2027-12-31",{"name":107,"class":46},"Centro de Emergencias Sanitarias 061 Andalucía",{"id":109,"slug":110,"hasResults":12,"nctId":111,"briefTitle":112,"officialTitle":113,"acronym":114,"eligibilityCriteria":115,"healthyVolunteers":17,"sex":18,"minAge":4,"maxAge":4,"enrollmentInfo":116,"targetDuration":4,"studyType":23,"phases":118,"briefSummary":120,"conditions":121,"keywords":126,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":137,"lastUpdatePostDateStruct":138,"startDateStruct":139,"completionDateStruct":141,"leadSponsor":143,"locationsCount":145},"100556548","phase-3-recommend-platform-trial-100556548","NCT06526533","RECOMMEND Platform Trial","Generating New Evidence to Reduce Major Complications to Improve the Safety and Efficacy of ECMO in Severe Cardiac and Respiratory Failure (RECOMMEND)","RECOMMEND","PLATFORM INCLUSION CRITERIA:\n\n* Patients receiving ECMO\n* Patients enrolled in the EXCEL Registry - NCT03793257\n\nPLATFORM EXCLUSION CRITERIA:\n\n* Treating clinician regards death as imminent and inevitable\n* Treating clinician determines it is not in the patient's best interests\n\nRBC TRANSFUSION DOMAIN INCLUSION CRITERIA:\n\n• Aged 18 years or older\n\nRBC TRANSFUSION DOMAIN EXCLUSION CRITERIA:\n\n* Contraindication to RBC transfusion (including known patient preference)\n* Limitations of care put in place either through patient wishes or the treating medical teams.\n* Participant has already received ECMO \\>12 hours. The start of ECMO is defined as the time of initiation of extracorporeal blood flow unless ECMO was initiated during a surgical intervention in which case the start of ECMO is defined as the arrival time into the initial ICU (post-surgery)\n* The treating physician anticipates that ECMO treatment will cease before the end of tomorrow\n* The treating physician deems the study is not in the patient's best interest\n* The treating physician has concern regarding patient ability to tolerate restrictive or liberal transfusion trigger thresholds\n* Actively listed for a solid organ transplant and has not yet received one\n* Suspected or confirmed to be pregnant\n* Previous ECMO treatment during the same hospital admission",{"count":117,"type":22},600,[119],"PHASE3","The goal of this platform trial is to determine the efficacy, safety and cost-effectiveness of various interventions in patients with acute cardiorespiratory failure requiring extracorporeal membrane oxygenation (ECMO)\n\nThe main question the platform trial aims to address is to determine the effect of a range of interventions on survival, organ support and resource utilisation to day 28 for hospitalised patients receiving ECMO.\n\nResearchers will compare various interventions within multiple platform trial domains to see if the interventions have effects on survival, organ support and resource utilisation for the patient cohort.\n\nParticipants will be enrolled in accordance with the platform trial's domain structure to answer the research questions.",[122,123,124,28,125],"Extracorporeal Membrane Oxygenation Complication","ARDS (Acute Respiratory Distress Syndrome)","Intensive Care Medicine","Critical Illness",[127,128,129,130,131,132,133,134,135,136],"ECMO","ICU","Platform Trial","Australia","Cardiac","Respiratory","VA","VV","eCPR","Adaptive","2026-05-11",{"date":101,"type":39},{"date":140,"type":39},"2026-03-23",{"date":142,"type":22},"2029-06",{"name":144,"class":46},"Australian and New Zealand Intensive Care Research Centre",3,{"id":147,"slug":148,"hasResults":12,"nctId":149,"briefTitle":150,"officialTitle":151,"acronym":152,"eligibilityCriteria":153,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":154,"targetDuration":4,"studyType":58,"phases":4,"briefSummary":156,"conditions":157,"keywords":158,"overallStatus":162,"whyStopped":4,"lastUpdateSubmitDate":163,"lastUpdatePostDateStruct":164,"startDateStruct":166,"completionDateStruct":168,"leadSponsor":170,"locationsCount":47},"100637251","the-impact-of-first-responder-intervention-on-survival-in-out-of-hospital-cardiac-arrest-in-emilia-romagna-region-100637251","NCT07589504","The Impact of First Responder Intervention on Survival in Out-of-Hospital Cardiac Arrest in Emilia-Romagna Region","FIRSST-RER Study: The Impact of First Responder Intervention on Survival in Out-of-Hospital Cardiac Arrest in Emilia-Romagna","FIRSST-RER","Inclusion Criteria:\n\n* Age ≥18 years\n* Confirmed out-of-hospital cardiac arrest (OHCA)\n* Emergency medical services activation with Advanced Life Support dispatch (Code Red Advanced Blue)\n* OHCA confirmed by return code 2-3-4 and\u002For NSIS codes (C0208 or C0205)\n* Event occurring between 1 January 2018 and 31 December 2025\n* Activation of the regional emergency medical system (Emilia-Romagna 118 system)\n\nExclusion Criteria:\n\n* Age \\\u003C18 years\n* Cardiac arrest not confirmed after EMS assessment\n* Cases with return code \\\u003C2 (misclassified as cardiac arrest)",{"count":155,"type":22},5200,"Out-of-hospital cardiac arrest (OHCA) is a life-threatening emergency and one of the leading causes of death worldwide. Survival depends critically on how quickly help arrives and whether cardiopulmonary resuscitation (CPR) and defibrillation are started early. In recent years, many regions in Europe and Italy, including Emilia-Romagna, have introduced systems that alert nearby volunteers, called First Responders (FRs), through smartphone applications (such as DAE RespondER). These individuals can reach the patient before emergency medical services (EMS) and begin life-saving actions.\n\nThe FIRSST-RER study aims to evaluate whether the intervention of First Responders improves survival in patients with out-of-hospital cardiac arrest in Emilia-Romagna.\n\nThis is a multicentre observational study involving approximately 5,000 adult patients who experienced cardiac arrest between 2018 and 2025 and were treated by the regional emergency system.\n\nThe study compares two groups of patients:\n\nthose who received help from at least one First Responder activated via the app those who did not receive First Responder intervention\n\nThe main objective is to determine whether First Responders increase survival at 30 days after cardiac arrest.\n\nAdditional objectives include evaluating:\n\nsurvival at 6 months and 1 year neurological outcomes (brain function recovery)\n\nData for this study are collected from existing healthcare and emergency system databases, including EMS dispatch records, national health data systems, and the DAE RespondER platform.\n\nFor patients who survive, follow-up information may be collected through medical records or telephone contact.\n\nImportantly, this study does not involve any experimental treatments or changes in patient care. It is based entirely on data already collected during routine emergency care, and therefore does not pose additional risks to patients.\n\nAll data are handled securely and in compliance with privacy regulations. Personal identifiers are replaced with coded information (pseudonymisation), and only authorised researchers can access the data. Patients who are alive may be contacted to provide consent and additional follow-up information; participation is voluntary, and consent can be withdrawn at any time.\n\nThe results of this study will provide important evidence on the effectiveness of citizen responder systems and may help guide future improvements in emergency response organisation, public health strategies, and training programmes. Ultimately, the goal is to increase survival and improve outcomes for people experiencing cardiac arrest in the community.",[28],[159,160,161],"first responder","out of hospital cardiac arrest","survival","NOT_YET_RECRUITING","2026-05-10",{"date":165,"type":39},"2026-05-15",{"date":167,"type":22},"2026-05",{"date":169,"type":22},"2026-12-31",{"name":171,"class":172},"Azienda Usl di Bologna","OTHER_GOV",{"id":174,"slug":175,"hasResults":12,"nctId":176,"briefTitle":177,"officialTitle":177,"acronym":178,"eligibilityCriteria":179,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":180,"targetDuration":4,"studyType":23,"phases":182,"briefSummary":183,"conditions":184,"keywords":189,"overallStatus":162,"whyStopped":4,"lastUpdateSubmitDate":193,"lastUpdatePostDateStruct":194,"startDateStruct":196,"completionDateStruct":198,"leadSponsor":200,"locationsCount":47},"100637044","abdominal-aortic-tourniquet-application-for-non-traumatic-out-of-hospital-cardiac-arrest-100637044","NCT07573566","Abdominal Aortic Tourniquet Application for Non-Traumatic Out-of-Hospital Cardiac Arrest","ATTICA","Inclusion Criteria:\n\n* Cardiac arrest with indication for initiation of resuscitation\n* Age ≥ 18 years\n\nExclusion Criteria:\n\n* Pregnancy (suspected or confirmed)\n* Age \\\u003C 18 years\n* Abdominal circumference does not allow application of the AAJT\n* Traumatic etiology\n* Planned eCPR or other intervention in which study inclusion would delay the standard of care\n* Known abdominal aortic aneurysm",{"count":181,"type":22},5,[25],"The aim of the study is to investigate whether occluding the abdominal aorta with an external device could be a potential therapeutic option in cases of non-traumatic cardiac arrest occurring outside of a hospital.\n\nIn cardiac arrest, the heart suddenly stops beating, causing the circulation of blood to collapse. In this situation, vital organs-especially the brain and the heart itself-are no longer adequately supplied with oxygen. Without immediate treatment, severe damage or death occurs within minutes.\n\nThe study therefore examines a specific intervention: the temporary occlusion of the abdominal aorta, which carries blood to the lower regions of the body. If this artery is blocked for a short period, the available blood can be redirected more effectively to the upper parts of the body. In theory, this could improve the oxygen supply to these organs and increase the likelihood that the heart will resume beating or that neurological damage can be reduced.",[28,185,186,187,188],"Out-of-hospital Cardiac Arrest (OHCA)","Asystole","Pulseless Electrical Activity","Ventricular Fibrillation",[190,191,192],"AAJT","OHCA","Aortic occlusion","2026-04-30",{"date":195,"type":39},"2026-05-07",{"date":197,"type":22},"2026-08",{"date":199,"type":22},"2027-09",{"name":201,"class":46},"Klinikum Klagenfurt am Wörthersee",{"id":203,"slug":204,"hasResults":12,"nctId":205,"briefTitle":206,"officialTitle":207,"acronym":208,"eligibilityCriteria":209,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":210,"enrollmentInfo":211,"targetDuration":4,"studyType":23,"phases":213,"briefSummary":214,"conditions":215,"keywords":219,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":223,"lastUpdatePostDateStruct":224,"startDateStruct":226,"completionDateStruct":228,"leadSponsor":230,"locationsCount":47},"100614924","the-role-of-stress-in-cardiac-arrest-cortizol-cpr-100614924","NCT07285915","The Role of Stress in Cardiac Arrest (Cortizol CPR)","Stress as a Key Factor Influencing the Onset and Course of Cardiac Arrest","Cortizol","Inclusion Criteria:\n\n* Cardiac arrest\n* Heart attack\n* 18 - 100 years\n\nExclusion Criteria:\n\n* Disapproval patient´s relatives with the study\n* Chronical treatment with corticoids and antidepresives","100 Years",{"count":212,"type":22},136,[25],"The aim of this study is to assess long-term stress in patients after an out-of-hospital cardiac arrest. To do this, we will measure levels of the stress hormone cortisol in hair samples. Cortisol is produced in larger amounts during periods of ongoing stress and builds up in the hair as it grows. Because hair grows about 1 cm per month, a 3 cm hair sample can show your average stress level over the past three months. The results will be compared with anonymized information from your medical records and the care you received before and during your hospital stay.",[216,28,217,218],"Chronic Stress","Post-Resuscitation Syndrome","Heart Attack",[30,220,221,222],"chronic stress","kortizol","hair","2026-04-27",{"date":225,"type":39},"2026-05-01",{"date":227,"type":39},"2026-01-08",{"date":229,"type":22},"2027-10-31",{"name":231,"class":46},"University Hospital Pilsen",{"id":233,"slug":234,"hasResults":12,"nctId":235,"briefTitle":236,"officialTitle":237,"acronym":238,"eligibilityCriteria":239,"healthyVolunteers":17,"sex":18,"minAge":55,"maxAge":240,"enrollmentInfo":241,"targetDuration":4,"studyType":23,"phases":243,"briefSummary":244,"conditions":245,"keywords":4,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":248,"lastUpdatePostDateStruct":249,"startDateStruct":251,"completionDateStruct":253,"leadSponsor":254,"locationsCount":47},"100620911","evaluation-of-mixed-reality-cardiopulmonary-resuscitation-training-100620911","NCT07363772","Evaluation of Mixed Reality Cardiopulmonary Resuscitation Training","Evaluation of Efficacy and Effectiveness of Mixed Reality Cardiopulmonary Resuscitation Training","HEROS 4","Inclusion Criteria:\n\n* Adults aged 18-50 years who have not received CPR training within the previous 12 months.\n\nExclusion Criteria:\n\n* Healthcare professionals\n* Individuals unable to safely tolerate MR equipment (e.g. motion sickness)","50 Years",{"count":242,"type":22},120,[25],"\\\u003CStudy Design\\> This study is a cluster-randomized, stratified, non-inferiority trial designed to evaluate the feasibility, efficacy, and educational effectiveness of HEROS 4.0, a mixed-reality (MR)-based cardiopulmonary resuscitation (CPR) training system, compared with conventional instructor-led CPR training.\n\n\\\u003CObjective \\& Hypothesis\\> The primary objective is to determine whether MR-based HEROS 4.0 CPR training is non-inferior to standard video- and instructor-based CPR training in improving CPR performance quality. The central hypothesis is that participants trained using HEROS 4.0 will achieve comparable CPR quality to those trained using traditional methods, while benefiting from enhanced immersion, scalability, and accessibility.\n\n\\\u003CParticipants\\> A total of 120 adults aged 18-50 years who have not received CPR training within the previous 12 months will be recruited. Participants will be assigned to one of two clusters and randomized in a 1:1 ratio to either the HEROS 4.0 MR training group or the conventional CPR training group.\n\n\\\u003CIntervention \\& Control\\>\n\nParticipants will undergo CPR training according to their assigned group:\n\nIntervention group (HEROS 4.0):\n\nParticipants will receive a two-stage CPR training program consisting of pre-training and on-site MR-based training. As pre-training, participants will be instructed to watch a 40-minute instructional video (conventional CPR training group video) at home prior to their visit. After completing the pre-training, participants will undergo 20 minutes of MR-based CPR training using the HEROS 4.0 system in a dedicated CPR training booth.\n\nControl group (Conventional CPR training):\n\nParticipants will receive 60 minutes of standard CPR education delivered through instructional videos and in-person instructor guidance, reflecting current community CPR training practice.\n\n\\\u003COutcomes\\> Immediately after training, all participants will undergo a standardized cardiac arrest simulation using a CPR quality-measurement manikin. This simulation will assess objective CPR performance metrics as well as subjective outcomes through questionnaires.\n\nTo evaluate knowledge retention and skill durability, all assessments will be repeated 6 months after training using the same simulation scenario and outcome measures.\n\nThe primary outcome is chest compression fraction measured during the standardized simulated cardiac arrest scenario.\n\nSecondary outcomes include quantitative measures of CPR quality and participant-reported outcomes based on survey.",[246,247,28],"Cardiopulmonary Resuscitation (CPR)","Basic Life Support Training Course","2026-04-26",{"date":250,"type":39},"2026-04-28",{"date":252,"type":39},"2026-02-01",{"date":105,"type":22},{"name":255,"class":46},"Seoul National University Hospital",{"id":257,"slug":258,"hasResults":12,"nctId":259,"briefTitle":260,"officialTitle":260,"acronym":261,"eligibilityCriteria":262,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":240,"enrollmentInfo":263,"targetDuration":4,"studyType":58,"phases":4,"briefSummary":265,"conditions":266,"keywords":267,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":271,"lastUpdatePostDateStruct":272,"startDateStruct":273,"completionDateStruct":275,"leadSponsor":276,"locationsCount":47},"100581018","evaluation-of-genetic-molecular-causes-of-out-of-hospital-cardiac-arrest-from-patients-to-families-100581018","NCT06844851","Evaluation of Genetic-molecular Causes of Out-of-Hospital Cardiac Arrest: From Patients to Families","GenetiCA","Inclusion Criteria:\n\n* All the patients suffering from OHCA of medical etiology in Lombardy Region ≤50 years, for whom resuscitation manoeuvres was started by EMS (AREU)\n\nExclusion Criteria:\n\n* Patients under 18 years old\n* Patients with a non-medical cause of the cardiac arrest",{"count":264,"type":22},1725,"The aims are to define the exact prevalence of hereditary heart diseases in out-of-hospital cardiac arrest (OHCA) patients taking also into account gender, patient and OHCA characteristics, provincial settings and environmental pollution; to stratify the individualized arrhythmic risk of proband's family members to prevent further sudden cardiac deaths; to refine the classification of the variants of uncertain significance (VUS) on genes which can have the capability to drive to molecular alterations leading to arrhythmogenic hereditary heart diseases. A blood sample will be obtained during resuscitation from all the patients aged ≤50 years suffering an OHCA in Lombardy Region and then analysed for genetic variants possibly causative of cardiac diseases. Genetic data will be merged with patient, OHCA and post-resuscitation data thanks to the connection with LombardiaCARe, whilst pollution data will be retrieved from ARPA Lombardia for free. A genetic counselling and clinical-instrumental evaluation of the proband's first-degree family members will be performed if a pathogenic\u002Flikely pathogenic variant or a VUS will be disclosed during the genetic analysis.",[28],[268,269,270],"Out-of-hospital cardiac arrest","genetic","cardiovascular diseases","2026-04-22",{"date":223,"type":39},{"date":274,"type":39},"2021-09-09",{"date":105,"type":22},{"name":277,"class":46},"Fondazione IRCCS Policlinico San Matteo di Pavia",{"id":279,"slug":4,"hasResults":12,"nctId":13,"briefTitle":14,"officialTitle":15,"acronym":4,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":280,"targetDuration":4,"studyType":23,"phases":281,"briefSummary":26,"conditions":282,"keywords":283,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":284,"lastUpdatePostDateStruct":285,"startDateStruct":287,"completionDateStruct":288,"leadSponsor":290,"locationsCount":47},"100632991",{"count":21,"type":22},[25],[28],[30,31,32,33,34],"2026-04-08",{"date":286,"type":39},"2026-04-14",{"date":225,"type":22},{"date":289,"type":22},"2026-08-31",{"name":45,"class":46},{"id":292,"slug":293,"hasResults":12,"nctId":294,"briefTitle":295,"officialTitle":296,"acronym":4,"eligibilityCriteria":297,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":298,"enrollmentInfo":299,"targetDuration":4,"studyType":23,"phases":301,"briefSummary":302,"conditions":303,"keywords":4,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":305,"lastUpdatePostDateStruct":306,"startDateStruct":308,"completionDateStruct":310,"leadSponsor":312,"locationsCount":47},"100624503","trial-of-acceptance-and-mindfulness-based-exposure-therapy-ambet-and-present-centered-therapy-pct-100624503","NCT07410481","Trial of Acceptance and Mindfulness-based Exposure Therapy (AMBET) and Present Centered Therapy (PCT)","A Randomized Clinical Trial of Acceptance and Mindfulness-based Exposure Therapy (AMBET) and Present Centered Therapy (PCT)","Inclusion Criteria:\n\n1. Between 18 and 81 years old at the time of consent\n2. Fluency in English\n3. Medical history of cardiac arrest \\>3 months ago\n4. Clinically elevated PTSD symptoms (Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) score ≥25)\n5. U.S. Resident\n\nExclusion Criteria:\n\n1. Lifetime history of primary psychotic or bipolar disorders\n2. Current substance use disorder (moderate or severe in the past 6 months)\n3. Active suicidal ideation with some intent to act in past 12 months, and\u002For suicide attempt in past 24 months\n4. Substantial cognitive impairment (Mini Mental Status Exam (MMSE) score \\\u003C25)\n5. Initiation of new psychotropic medication \\\u003C3 months ago\n6. Non-cardiac etiology of CA (drowning, bleeding, trauma, drug overdose, etc)\n7. Terminal illness with life expectancy \\\u003C1 year\n8. Concurrent psychotherapy for PTSD","81 Years",{"count":300,"type":22},90,[25],"The goal of this clinical trial is to learn if a new therapy called Acceptance- and Mindfulness-Based Exposure Therapy (AMBET) helps treat post-traumatic stress disorder (PTSD) in people who survived a cardiac arrest. This study will compare AMBET to another psychotherapy treatment called Present Centered Therapy (PCT) to see which therapy is more effective in treating PTSD.\n\nThe main questions it aims to answer are:\n\nDoes AMBET reduce PTSD symptoms in survivors of cardiac arrest? How do the benefits of AMBET compare to PCT?\n\nParticipants will:\n\n* Be randomly assigned to receive either AMBET or PCT\n* Attend 12 hours of individual psychotherapy sessions over about 12 weeks\n* Complete short weekly surveys about their mood and behaviors online\n* Wear a Fitbit device to track sleep and activity during the study\n* Do brief homework assignments between sessions",[304,28],"PTSD - Post Traumatic Stress Disorder","2026-04-04",{"date":307,"type":39},"2026-04-09",{"date":309,"type":39},"2026-03-31",{"date":311,"type":22},"2029-03-31",{"name":313,"class":46},"Columbia University",{"id":315,"slug":316,"hasResults":12,"nctId":317,"briefTitle":318,"officialTitle":319,"acronym":320,"eligibilityCriteria":321,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":322,"targetDuration":4,"studyType":58,"phases":4,"briefSummary":324,"conditions":325,"keywords":328,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":340,"lastUpdatePostDateStruct":341,"startDateStruct":343,"completionDateStruct":345,"leadSponsor":347,"locationsCount":349},"100578285","the-ventilation-during-in-hospital-cardiac-arrest-study-100578285","NCT06809309","The Ventilation During In-hospital Cardiac Arrest Study","The Ventilation During In-Hospital Cardiac Arrest (VENT-IHCA) Study","VENT-IHCA","Inclusion Criteria:\n\n1. In-hospital cardiac arrest\n2. Age ≥ 18 years\n3. \\>1minute of recorded ventilation data\n\nExclusion Criteria:\n\n1. Documented do-not-attempt cardiopulmonary resuscitation order\n2. Invasive mechanical circulatory support at the time of the cardiac arrest",{"count":323,"type":22},900,"The goal of this prospective observational study is to learn how ventilation quality parameters during cardiopulmonary resuscitation (CPR) are associated with short-term survival following in-hospital cardiac arrest of adult patients.\n\nThe main questions it aims to answer are:\n\nWhat ventilation volume during CPR is associated with the highest chance of return of spontaneous circulation (ROSC)? What ventilation rate during CPR is associated with the highest chance of ROSC?\n\nResearchers will compare different levels of ventilation rates and volumes that are blindly measured during CPR to see how the observed rates and volumes are associated with survival outcomes and complications.",[28,326,327],"In-Hospital Cardiac Arrest","Heart Arrest",[329,330,331,30,332,333,334,335,336,337,338,339],"prospective observational study","ventilation","manual ventilation","in-hospital cardiac arrest (IHCA)","bag-valve-mask (BVM)","tidal volume","ventilation rate","intra-arrest ventilation","cardiopulmonary ventilation (CPR)","resuscitation","adult","2026-03-27",{"date":342,"type":39},"2026-03-30",{"date":344,"type":39},"2025-02-01",{"date":346,"type":22},"2027-06",{"name":348,"class":46},"University of Aarhus",11,{"id":351,"slug":352,"hasResults":12,"nctId":353,"briefTitle":354,"officialTitle":354,"acronym":355,"eligibilityCriteria":356,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":357,"targetDuration":4,"studyType":23,"phases":359,"briefSummary":360,"conditions":361,"keywords":362,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":140,"lastUpdatePostDateStruct":366,"startDateStruct":367,"completionDateStruct":368,"leadSponsor":370,"locationsCount":47},"100628691","new-tools-and-predictive-markers-in-the-prognosis-of-hypoxic-ischemic-encephalopathy-following-cardiac-arrest-100628691","NCT07464938","New Tools and Predictive Markers in the Prognosis of Hypoxic-ischemic Encephalopathy Following Cardiac Arrest","ARCAPROTEOFLOW","Inclusion Criteria:\n\n* Patients 18-year-old with OHCA admitted to our hospital receiving routine care.\n\nExclusion Criteria:\n\n* Patients transferred from other hospitals for OHCA management\n* Patients with pre-existent neurological disease.",{"count":358,"type":22},50,[25],"Cardiac arrest (CA) remains a major cause of mortality and long-term neurological disability worldwide. Despite advances in resuscitation, many survivors suffer from post-cardiac syndrome encompassing PCAS brain injury (PCABI), due to primary (ischemic) and secondary (reperfusion) injury, myocardial dysfunction, systemic response, and persistent underlying causes. PCABI plays a critical role in this complex condition, which is characterized by ischemia, inflammation, and microvascular dysfunction.Current methods to predict neurological outcomes are limited, leading to challenges in clinical decision-making and the risk of premature withdrawal of life-sustaining therapies. This study aims to improve prognostication in CA patients by integrating advanced serum biomarker profiling with cerebral ultrasound (CU) techniques. The investigators hypothesize that combining these tools with clinical data will enhance the accuracy of neurological outcome predictions and deepen understanding of PCABI pathophysiology. The investigators will prospectively enroll 50 CA patients admitted to the intensive care unit at Cliniques Universitaires Saint-Luc. Serum proteomics will be performed using the Reveal panel from Olink®, which analyzes over 1,000 proteins involved in inflammation and thrombosis implicated in PCABI. Concurrently, cerebral ultrasound will assess optic nerve sheath diameter (ONSD) and cerebral blood flow velocities (CBFV) at multiple time points post-resuscitation (at admission, on day 1-2 and on day 3-5). These non-invasive bedside measurements may serve as early indicators of elevated intracranial pressure and cerebral hemodynamic abnormalities.The primary endpoint is poor neurological outcome at one month, defined by the Cerebral Performance Category (CPC) scale. Statistical analyses will evaluate the prognostic value of biomarkers and ultrasound parameters individually and in combination with established clinical predictors.This multimodal approach promises to refine prognostic accuracy, improve clinical decision-making, and identify novel therapeutic targets. Ultimately, our findings may lead to improved patient outcomes and guide future multicenter studies for validation and clinical implementation.",[28],[30,363,364,365],"proteomic","Cerebral ultrasounds","neuroprognostication",{"date":340,"type":39},{"date":140,"type":39},{"date":369,"type":22},"2028-04-01",{"name":371,"class":46},"Cliniques universitaires Saint-Luc- Université Catholique de Louvain",{"id":373,"slug":374,"hasResults":12,"nctId":375,"briefTitle":376,"officialTitle":377,"acronym":378,"eligibilityCriteria":379,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":380,"targetDuration":4,"studyType":58,"phases":4,"briefSummary":382,"conditions":383,"keywords":386,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":393,"lastUpdatePostDateStruct":394,"startDateStruct":396,"completionDateStruct":398,"leadSponsor":400,"locationsCount":402},"100595124","long-term-follow-up-of-cardiac-arrest-survivors-exposed-to-ultra-rapid-cooling-100595124","NCT07028372","Long Term Follow-up of Cardiac Arrest Survivors Exposed to Ultra-rapid Cooling","Long Term Follow-up of Cardiac Arrest Survivors Exposed to Ultra-rapid Cooling, a Prospective Non-interventional Cohort","AFTERCOOL","Inclusion Criteria:\n\n* Age of 18 years and over\n* Cardiac arrest patient included in and alive at the end of the OverCool clinical investigation (28 days after the cardiac arrest)\n* Non-opposition from the patient or the trusted person or the close relative or parent obtained within 3 months after the end of the OverCool study\n\nExclusion Criteria:\n\n* Follow-up refusal from patient of trusted person or the close relative or parent\n* Having being included in the OverCool clinical investigation but not submitted to the Vent2Cool procedure\n* Impossibility to reach the patient or the trusted person or the close relative or parent",{"count":381,"type":22},12,"Less than 10% of patients eliciting out-of-hospital cardiac arrest (OHCA) survive, although 30% can be resuscitated by Emergency services before admission in Intensive Care Units (ICU). The majority succumb to Post-Cardiac Arrest Syndrome (PCAS). PCAS is associated with high mortality (60-70%) and morbidity.\n\nOne proposed method of preventing the neurological and cardiac consequences of PCAS is to lower the body temperature to 33°C as quickly as possible. This approach is known as therapeutic hypothermia or Targeted Temperature Management (TTM). The Vent2Cool system, developed by Orixha, is a novel approach that enables the rapid induction of therapeutic hypothermia by using hypothermic Total Liquid Ventilation (TLV) to reach a protective temperature of 33°C within minutes.\n\nThe OverCool feasibility study, which started in April 2025, is designed to validate the clinical performance and safety of an ultra-rapid cooling approach combining ultra-rapid hypothermia induction using the Vent2Cool system, and maintenance and rewarming using the ArcticSun system.\n\nThe AfterCool study aims to evaluate long-term outcomes during a five-year follow-up of cardiac arrest survivors who were treated with ultrarapid cooling in the OverCool study.",[28,384,385],"Resuscitated Sudden Cardiac Death","Post Cardiac Arrest Patient Who Was Treated by Hypothermia Protocol",[387,388,389,390,391,392],"Cardiac arrest","Hypothermia","Target temperature management","Liquid ventilation","Resuscitation","long-term outcomes","2026-03-22",{"date":395,"type":39},"2026-03-24",{"date":397,"type":39},"2025-06-11",{"date":399,"type":22},"2031-12",{"name":401,"class":46},"Assistance Publique - Hôpitaux de Paris",2,{"id":404,"slug":405,"hasResults":12,"nctId":406,"briefTitle":407,"officialTitle":407,"acronym":408,"eligibilityCriteria":409,"healthyVolunteers":12,"sex":18,"minAge":4,"maxAge":4,"enrollmentInfo":410,"targetDuration":4,"studyType":58,"phases":4,"briefSummary":412,"conditions":413,"keywords":4,"overallStatus":162,"whyStopped":4,"lastUpdateSubmitDate":417,"lastUpdatePostDateStruct":418,"startDateStruct":420,"completionDateStruct":421,"leadSponsor":423,"locationsCount":47},"100630219","evaluation-of-acid-base-disorders-and-ventilation-settings-in-cardiogenic-shock-and-post-cardiac-arrest-patients-comparison-with-ventilo-algorithm-100630219","NCT07484828","Evaluation of Acid-base Disorders and Ventilation Settings in Cardiogenic Shock and Post-cardiac Arrest Patients: Comparison With VentilO Algorithm","VentilO CU","Inclusion Criteria:\n\n* Adult (Age \\>=18 years old)\n* Under mechanical ventilation with endotracheal tube for :\n\npost cardiac arrest or cardiogenic shock\n\n\\- Bood gases result availability up to 4 hours after coronary unit admission\n\nExclusion Criteria:\n\n* Lack of patient anthropometric data (height and weight) available in the patient record\n* No information in the record regarding the data on the humidification systems used at the time of the first blood gas test upon admission to the coronary care unit.\n* Patient stabilzed in other hospital before coronary unit admission or adjustment of respiratory parameters after a blood gas test.",{"count":411,"type":22},100,"This study aims to better understand how mechanical ventilation settings affect patients admitted to the coronary care unit after cardiac arrest or with cardiogenic shock. These patients often require mechanical ventilation, but current guidelines provide limited evidence on the best approach. Improper ventilation settings can lead to acid-base imbalances, such as respiratory acidosis or alkalosis, which may worsen patient outcomes.\n\nThe retrospective analysis will include 100 adult patients (50 post-cardiac arrest and 50 with cardiogenic shock) who were mechanically ventilated upon admission. The study has two main objectives:\n\nDetermine how often acid-base disorders occur in these patients and describe their characteristics.\n\nCompare the initial ventilator settings chosen by clinicians with those suggested by VentilO, a decision-support algorithm.\n\nThe investigators will evaluate the potential effect of the VentilO recommendations on the first arterial (or capillary) blood gases compared to the real settings.\n\nThis information will help refine the algorithm and guide future research on improving ventilation strategies for critically ill cardiac patients.\n\nParticipation does not involve any intervention, as the study uses existing medical records.",[28,414,415,416],"Cardiogenic Shock","Mechanical Ventilation","Acid Base Disorder","2026-03-18",{"date":419,"type":39},"2026-03-20",{"date":167,"type":22},{"date":422,"type":22},"2026-12",{"name":424,"class":46},"Laval University",{"id":426,"slug":427,"hasResults":12,"nctId":428,"briefTitle":429,"officialTitle":430,"acronym":431,"eligibilityCriteria":432,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":433,"targetDuration":435,"studyType":58,"phases":4,"briefSummary":436,"conditions":437,"keywords":4,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":441,"lastUpdatePostDateStruct":442,"startDateStruct":443,"completionDateStruct":445,"leadSponsor":447,"locationsCount":47},"100629955","molecular-insights-into-post-cardiac-arrest-brain-injury-via-csf-multi-omics-100629955","NCT07481396","Molecular Insights Into Post-Cardiac Arrest Brain Injury Via CSF Multi-Omics","Identification of Novel Molecular Pathophysiological Mechanisms of Secondary Brain Injury in Post-cardiac Arrest Syndrome Patients Using Cerebrospinal Fluid Multi-omics Analysis","PCABI-OMICS","Inclusion Criteria:\n\n* Patients receiving post-resuscitation care after out-of-hospital cardiac arrest for secondary brain injury treatment.\n* Patients without contraindications for lumbar puncture catheter insertion for cerebrospinal fluid (CSF) collection. This includes the absence of:\n* Uncontrolled diabetes.Coagulation disorders.\n* Thrombocytopenia (platelet count $\\\u003C 100,000).\n* A history of cirrhosis diagnosis.\n* Current receipt of low molecular weight heparin.\n* Current use of platelet inhibitors.\n* A history of posterior spinal fusion that may interfere with catheter insertion.\n* Local skin infection or rash at the puncture site.\n* Signs of systemic infection or sepsis.\n* A history of lumbar puncture within the past 6 hours.\n\nExclusion Criteria:\n\n* Cerebral Edema: Patients with evidence of cerebral edema on a brain computed tomography (CT) scan performed immediately after spontaneous circulation recovery.\n* Patients who underwent extracorporeal membrane oxygenation (ECMO).\n* Patients who could not maintain integrated therapy for more than 24 hours after cardiac arrest.\n* Patients with a history of acute or chronic brain disease.",{"count":434,"type":22},60,"3 Months","The goal of this study is to uncover the molecular mechanisms responsible for secondary brain injury in patients with post-cardiac arrest syndrome by analyzing cerebrospinal fluid (CSF) using multi-omics techniques.\n\nThe main question this study aims to answer is:\n\nWhich genome-, transcriptome-, proteome-, and metabolome-level changes in CSF are associated with secondary brain injury after cardiac arrest?\n\nTo address this question, CSF samples collected from post-cardiac arrest patients will undergo multi-omics analyses. Identified molecular pathways will be used to screen existing drug databases and generate new therapeutic candidates through computational modeling and compound synthesis. These findings will provide the scientific foundation needed to design and implement future preclinical experiments using cardiac arrest animal models.",[28,438,439,440],"Cerebrospinal Fluid","Multiomics","Hypoxic-Ischemic Brain Injury","2026-03-16",{"date":417,"type":39},{"date":444,"type":39},"2025-12-01",{"date":446,"type":22},"2028-02-28",{"name":448,"class":46},"Chungnam National University Hospital",{"id":450,"slug":451,"hasResults":12,"nctId":452,"briefTitle":453,"officialTitle":454,"acronym":455,"eligibilityCriteria":456,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":457,"targetDuration":4,"studyType":23,"phases":459,"briefSummary":460,"conditions":461,"keywords":462,"overallStatus":162,"whyStopped":4,"lastUpdateSubmitDate":465,"lastUpdatePostDateStruct":466,"startDateStruct":467,"completionDateStruct":469,"leadSponsor":471,"locationsCount":47},"100628949","garde--gc7-n1-guanyl-17-diaminoheptane-cardiac-arrest-100628949","NCT07468292","GARDE : GC7 (N1-guanyl-1,7 Diaminoheptane) cARDiac arrEst","Impact of GC7 (N1-guanyl-1,7 Diaminoheptane) on Oxidative Stress in Patients Who Have Experienced a Resuscitated Cardiorespiratory Arrest","GARDE","Inclusion Criteria:\n\n* Cardiac arrest as the primary reason for hospital admission\n* Admission \\\u003C 48 hours\n* Age ≥ 18 years\n* Affiliated with a social security system\n\nExclusion Criteria:\n\n* Limitation or withdrawal of life-sustaining therapies prior to study screening\n* Prior cardio-vascular ischemic event (\\> 24h) before cardiac arrest\n* Patient deprived of liberty",{"count":458,"type":22},20,[25],"Cardiac arrest (CA) with return of spontaneous circulation is associated with high mortality, exceeding 90% in out-of-hospital settings and approaching 50% in in-hospital settings. Despite management of the underlying cause of CA, patients often die from post-anoxic brain injury or from ischemia-reperfusion injury occurring after reperfusion and reoxygenation, which increases oxidative stress and leads to multi-organ failure. To date, no effective therapeutic strategy has been established in humans to limit these ischemia-reperfusion injuries. GC7 (N1-guanyl-1,7 diaminoheptane) has demonstrated a strong protective potential against ischemia reperfusion injury in rodent and porcine models, including myocardial infarction, stroke, and renal transplantation. These protective effects are attributed to the pleiotropic action of GC7 which renders cells and tissues energetically less dependent on oxygen, and reduces oxidative stress which play a major role in ischemia reperfusion injury. Degree of blood acidification and immune dysregulation may also represent parameters that GC7 could potentially influence. Although no adverse effects have been reported in these experimental models, GC7 has not yet been studied in human. Our study therefore aims to demonstrate the protective effect of GC7 on blood cells in patients after CA by evaluating oxidative stress levels, blood acidification and inflammatory profile.",[28],[30,463,464],"GC7 (N1-guanyl-1,7 diaminoheptane)","oxidative stress","2026-03-12",{"date":441,"type":39},{"date":468,"type":22},"2026-07",{"date":470,"type":22},"2028-12",{"name":472,"class":46},"Centre Hospitalier Universitaire de Nice",{"id":474,"slug":475,"hasResults":12,"nctId":476,"briefTitle":477,"officialTitle":478,"acronym":4,"eligibilityCriteria":479,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":480,"targetDuration":4,"studyType":23,"phases":482,"briefSummary":483,"conditions":484,"keywords":485,"overallStatus":162,"whyStopped":4,"lastUpdateSubmitDate":489,"lastUpdatePostDateStruct":490,"startDateStruct":492,"completionDateStruct":494,"leadSponsor":496,"locationsCount":402},"100599717","precision-cpr-precision-controlled-ventilation-in-cpr-100599717","NCT07088120","PRECISION-CPR: PRecision-Controlled Ventilation in CPR","PRecision-Controlled Ventilation to Enhance Cardiac Arrest Intervention and Survival IN CPR: A Multi-Center Randomized Controlled Trial","Inclusion Criteria:\n\n* Adult patients (18 years or older) with in-hospital cardiac arrest receiving manual ventilation via bag-mask or artificial airway\n\nExclusion Criteria:\n\n* Inability to estimate predicted body weight (e.g., extreme body habitus or lack of height data).\n* Patients receiving Extracorporeal Membrane Oxygenation (ECMO).\n* Known pregnancy.",{"count":481,"type":22},852,[25],"Cardiac arrest is a life-threatening emergency that requires immediate treatment with cardiopulmonary resuscitation (CPR). While chest compressions circulate blood, manual ventilation provides oxygen to the patient. Current CPR guidelines recommend specific ventilation rates and tidal volumes, but studies show that clinicians often deliver too much or too little ventilation due to a lack of monitoring tools, potentially reducing the effectiveness of CPR and impacting survival.\n\nThe PRECISION-CPR study is a multi-center, randomized controlled trial designed to evaluate whether using real-time feedback devices to precisely control ventilation during CPR can improve patient outcomes. Adult patients experiencing in-hospital cardiac arrest will be randomized to receive either standard manual ventilation guided by clinician experience or precision-controlled ventilation tailored to the patient's predicted body weight using real-time monitoring devices.\n\nThe primary outcome of the study will be return of spontaneous circulation (ROSC). Secondary outcomes will include survival to hospital discharge, neurological recovery, and other clinical measures. By addressing the limitations of current ventilation practices, this study aims to generate evidence to guide future resuscitation guidelines and improve survival rates after cardiac arrest.",[28],[330,334,486,487,488],"cardiac pulmonary resuscitation","real-time feedback","Return of spontaneous circulation","2026-03-10",{"date":491,"type":39},"2026-03-11",{"date":493,"type":22},"2026-09-01",{"date":495,"type":22},"2030-12-31",{"name":497,"class":46},"Rush University Medical Center",{"id":499,"slug":500,"hasResults":12,"nctId":501,"briefTitle":502,"officialTitle":502,"acronym":503,"eligibilityCriteria":504,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":505,"targetDuration":4,"studyType":58,"phases":4,"briefSummary":507,"conditions":508,"keywords":509,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":512,"lastUpdatePostDateStruct":513,"startDateStruct":515,"completionDateStruct":517,"leadSponsor":519,"locationsCount":47},"100626692","measurement-of-airway-opening-index-during-out-of-hospital-cardiac-arrest-the-lazarus-aoi-trial-100626692","NCT07438938","Measurement of Airway Opening Index During Out-of-hospital Cardiac Arrest: The Lazarus AOI Trial.","Lazarus-AOI","Inclusion Criteria:\n\n* Adult (over 18 years old) patients with out-of-hospital cardiac arrest.\n* Patients undergoing cardiopulmonary resuscitation (CPR).\n* Patients who were intubated and had available capnogram recordings immediately after intubation.\n\nExclusion Criteria:\n\n* Patients that were not intubated\n* Patients that did not receive CPR following intubation\n* Cases with a technical challenge with the ETCO₂ measurement (i.e., issues with waveform data of the capnogram.",{"count":506,"type":22},150,"Out-of-hospital cardiac arrest (OHCA) is a leading cause of death worldwide. Despite constantly improving resuscitation techniques, the chances of survival remain limited. During cardiopulmonary resuscitation (CPR), a closure of the airway may occur, impeding ventilation. This phenomenon also complicates the interpretation of the end-tidal CO2 (ETCO2) in the capnogram. The extent to which airway closure occurs is quantified by the Airway Opening Index (AOI). This can be calculated from the capnogram and is seen as a measure of the quality of CPR applied as well as a possible indicator to predict the outcome of CPR.\n\nIn this study, we analyse capnogram data from approximately 150 cases, collected during interventions for OHCA and logged in the Lazarus database (UZ Gent and AZORG) to answer three research questions below:\n\n1. What is the prevalence of AOI during CPR?\n2. Is there a correlation between AOI and return of spontaneous circulation (ROSC)?\n3. Does the application of positive end-expiratory pressure (PEEP) affect the AOI and ROSC?\n\nA mathematical model for calculating AOI, based on a method from previous work by Bandhari et al. \\[1\\] will be developed. Using this model, the AOI will be calculated from the individual capnograms for all cases in the Lazarus database.\n\nIn addition, a multivariable regression model will be used to analyse whether AOI can be used to predict ROSC. Corrections will be made for relevant confounders such as age, gender, witnessed arrest and rhythm pattern.\n\nFinally, it is investigated whether PEEP has a positive influence on AOI. This study aims to contribute to better insights into airway dynamics during CPR and the optimization of ventilation in OHCA.",[28,185,384],[510,511],"capnography","airway closure","2026-02-23",{"date":514,"type":39},"2026-02-27",{"date":516,"type":39},"2022-10-01",{"date":518,"type":22},"2027-01-01",{"name":520,"class":46},"University Hospital, Ghent",{"id":522,"slug":523,"hasResults":12,"nctId":524,"briefTitle":525,"officialTitle":525,"acronym":526,"eligibilityCriteria":527,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":528,"targetDuration":4,"studyType":23,"phases":530,"briefSummary":531,"conditions":532,"keywords":534,"overallStatus":162,"whyStopped":4,"lastUpdateSubmitDate":535,"lastUpdatePostDateStruct":536,"startDateStruct":538,"completionDateStruct":540,"leadSponsor":542,"locationsCount":47},"100593119","the-effect-of-specialty-care-on-recovery-from-cardiac-arrest-trial-the-sparc-trial-100593119","NCT07002294","The Effect of SPecialty cAre on Recovery From Cardiac Arrest Trial (the SPARC Trial)","SPARC","Inclusion Criteria:\n\n* Out-of-hospital cardiac arrest\n* Resuscitated from cardiac arrest with palpable pulse in the emergency department\n* Treated at one of participating hospital emergency departments\n* Age ≥18 years\n\nExclusion Criteria:\n\n* Known prior advanced directives or decision to limit critical care\n* Known pre-arrest dependent functional status (e.g., living in a skilled nursing facility, hospice or bedbound)\n* Arrest in the emergency department \\>4 hours after arrival\n* Traumatic etiology of arrest\n* Known to have opted-out from the SPARC trial",{"count":529,"type":22},1618,[25],"This randomized clinical trial will determine if adult participants who are in the emergency department after being resuscitated from a cardiac arrest outside of the hospital benefit from care delivered at specialized centers.\n\nThe main question that it will answer is whether transferring participants to a hospital with a specialized cardiac arrest service improves recovery of function after 90 days.\n\nParticipants will receive all usual medical care, but some participants will be offered transfer to a regional cardiac arrest center and others will be offered care at the closest appropriate hospital. Investigators will interview participants after 90 days to assess their recovery.",[28,327,533],"Heart Arrest, Out-Of-Hospital",[30],"2026-02-03",{"date":537,"type":39},"2026-02-05",{"date":539,"type":22},"2026-06",{"date":541,"type":22},"2032-01",{"name":543,"class":46},"University of Pittsburgh",{"id":545,"slug":546,"hasResults":12,"nctId":547,"briefTitle":548,"officialTitle":549,"acronym":550,"eligibilityCriteria":551,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":552,"targetDuration":4,"studyType":23,"phases":554,"briefSummary":555,"conditions":556,"keywords":558,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":562,"lastUpdatePostDateStruct":563,"startDateStruct":564,"completionDateStruct":566,"leadSponsor":568,"locationsCount":47},"100622801","diagnostic-accuracy-of-ecg-less-gated-cardiac-ct-in-resuscitated-cardiac-arrest-survivors-without-st-elevation-myocardial-infarction-100622801","NCT07388342","Diagnostic Accuracy of ECG-less Gated Cardiac CT in Resuscitated Cardiac Arrest Survivors Without ST Elevation Myocardial Infarction","Diagnostic Accuracy of ECG-less Gated Cardiac CT in Resuscitated Cardiac Arrest Survivors","OPEN CCTArrest","* Inclusion:\n\n  * Adults (≥18 years) with sustained return of spontaneous circulation (ROSC) following in\u002Fout-of-hospital cardiac arrest.\n  * Informed consent from patient or representative obtained before invasive coronary angiography.\n* Exclusion\n\n  * Patients on VA-ECMO\n  * ACS STEMI or STEMI \"equivalent\"\n\n    * New left\u002Fright bundle branch block\n    * ST segment depression in leads V1-V3, when the terminal T wave is positive and concomitant ST-segment elevation ≥ 0,5mm recorded in leads V7-V9 (posterior MI)\n    * ST-segment elevation in V7-V9 (posterior MI) or V3R-V4R (RV MI)\n  * ACS NSTEMI with persistent ST depression despite optimal therapy, suggesting ongoing myocardial ischemia, with indication for an urgent ICA according to the treating physician.\n  * Hemodynamic\u002Felectrical instability precluding CT imaging (as perceived by the treating physician)\n  * Life-threatening arrhythmia potentially caused by acute myocardial ischemia\n  * Absolute contraindications to iodinated contrast\n  * Patients with a known non-cardiac cause of cardiac arrest (e.g., traumatic brain injury, overt hemorrhage, asphyxia\u002Fsevere hypoxia due to known lung disease, trauma, severe metabolic\u002Felectrolyte derangement, or intoxication) as perceived by the treating physician, where chest CT is considered unnecessary.\n  * Known or likely pregnancy or lactation\n  * Severe bleeding issue (as perceived by the treating physician) precluding heparin administration during radial access coronary angiography.\n  * Prior coronary intervention (stent implantation\u002FCABG).\n  * CT findings indicating a condition that precludes coronary angiography in the short term.\n  * Patients with end-of-life care pathways.\n  * Participation in another intervention study interfering with the research questions in OPEN CCT Arrest.",{"count":553,"type":22},30,[25],"In a significant portion of patients surviving a cardiac arrest, the event is caused by a myocardial infarction (a narrowing or blockage of one or more blood vessels that supply blood to the heart, the coronary arteries). In some people, this is immediately evident from basic tests; in others, it is more difficult to predict with the currently available tests whether this (or something else) caused the cardiac arrest. We investigate a technique that allows us to also assess the coronary arteries on the CT scan that is performed in patients surviving a cardiac arrest. The coronary angiography is currently the best exam we have for examining the coronary arteries, but it has some disadvantages. Compared to the CT scan, it takes more time, needs a more complex access to the blood vessels, and has some rare but relevant possible complications. The major advantage of the coronary angiography is that there is the possibility of immediate treatment of a narrowed\u002Fblocked blood vessel of the heart. The current guidelines advice an urgent coronary angiography when a clear myocardial infarction is suggested on the electrocardiogram, but not when there is no clear indication of myocardial infarction. Nonetheless, a relevant portion (more or less 40%) of the patients without a clearly abnormal electrocardiogram, still have an important problem in the blood vessels of the heart. We aim to determine whether the CT scan provides accurate information about the condition of the blood vessels of the heart. The CT scan was already well examined for this purpose before, but in the currently conventional way it needs preparation with extra monitoring and administration of medication, which would lead to loss of precious time and potentially dangerous side effects of these drugs in this critical situation. For that reason, a new software modality was developed that allows us to examine the coronary arteries in the same CT scan, without need for additional monitoring or medication administration. It does not need additional contrast administration (the dye necessary for optimal evaluation of some diseases).\n\nThe goal of this study is to determine whether this new technique gives us the correct information about the coronary arteries. This means we acquire the images of the heart in the same scan, and verify the results with the conventional coronary angiography. If the technique provides accurate information, it could lead to a better selection of patients we need to urgently refer for a coronary angiography and to defer the exam in those who have normal coronary arteries on the scan.",[28,557],"Myocardial Infarction (MI)",[559,560,561],"Cardiac Arrest","Myocardial Infarction","Coronary Computed Tomography Angiography (CCTA)","2026-01-29",{"date":537,"type":39},{"date":565,"type":39},"2025-09-01",{"date":567,"type":22},"2027-12-01",{"name":569,"class":46},"Universitair Ziekenhuis Brussel",{"id":571,"slug":572,"hasResults":12,"nctId":573,"briefTitle":574,"officialTitle":575,"acronym":4,"eligibilityCriteria":576,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":577,"enrollmentInfo":578,"targetDuration":4,"studyType":23,"phases":579,"briefSummary":580,"conditions":581,"keywords":582,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":586,"lastUpdatePostDateStruct":587,"startDateStruct":589,"completionDateStruct":590,"leadSponsor":592,"locationsCount":402},"100621720","on-scene-ecpr-in-ostrava-100621720","NCT07374289","On Scene ECPR in Ostrava","The Effectiveness of ECPR on the Scene and in Hospital for Out-of-hospital Cardi-ac Arrest (OHCA) in the Moravian-Silesian Region.","Inclusion Criteria:\n\n* Presumed cardiac aetiology of the cardiac arrest\n* Witnessed collapse\n* Bystander CPR\n* Estimated age ≤ 70 years\n* Body weight ≥15 Kg\n\nExclusion Criteria:\n\n* Known terminal malignant disease\n* Known terminal chronic disease","70 Years",{"count":300,"type":22},[25],"On-scene extracorporeal pulmonary resuscitation (ECPR) for out-of-hospital cardiac arrest (OHCA) seems to speed up the start of extracorporeal membrane oxygenation (ECMO) and shorten low flow during cardiopulmonary resuscitation (CPR) in case of refractory cardiac arrest. The primary goal is to verify the benefit of on-scene ECPR in terms of shortening the collapse-to-ECMO interval. The secondary goal is to compare outcomes in the on-scene ECPR group with hospital cannulation.",[28,414],[583,584,30,585],"extracorporeal membrane oxygenation","out-of-hospital cardiac arrest","cardiogenic shock","2026-01-28",{"date":588,"type":39},"2026-01-30",{"date":588,"type":22},{"date":591,"type":22},"2029-12-31",{"name":593,"class":46},"University Hospital Ostrava",{"id":595,"slug":596,"hasResults":12,"nctId":597,"briefTitle":598,"officialTitle":599,"acronym":4,"eligibilityCriteria":600,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":601,"targetDuration":4,"studyType":58,"phases":4,"briefSummary":602,"conditions":603,"keywords":4,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":604,"lastUpdatePostDateStruct":605,"startDateStruct":607,"completionDateStruct":609,"leadSponsor":611,"locationsCount":47},"100608158","identification-of-brain-injury-using-portable-mri-100608158","NCT07197918","Identification of Brain Injury Using Portable MRI","Prospective Identification of Hypoxic Ischemic Brain Injury Using Portable Magnetic Resonance Imaging","Inclusion Criteria:\n\n* Unresponsive immediately after ROSC from IHCA or OHCA\n* Age ≥ 18 years of age\n* Conventional MRI is clinically indicated\n* Treatment with temperature control\n\nExclusion Criteria:\n\n* MRI contraindication according to the American Heart Association guidelines\n* Inability to tolerate supine positioning for 30 minutes\n* Diffuse loss of grey-white differentiation and sulcal effacement on head computed tomography within 6 hours of ROSC",{"count":434,"type":22},"The goal of this study is to look for brain injury in patients who had a cardiac arrest, using portable brain imaging. The portable nature of this test will also allow for serial imaging so the investigators can understand how brain injury changes over days. The results of this study may allow for bedside imaging to be available at centers without specialized imaging centers and may identify markers of brain injury that help to select the patients most likely to benefit for clinical trials.",[28,440],"2026-01-26",{"date":606,"type":39},"2026-01-27",{"date":608,"type":39},"2025-12-02",{"date":610,"type":22},"2027-04",{"name":612,"class":46},"Yale University",{"id":614,"slug":615,"hasResults":12,"nctId":616,"briefTitle":617,"officialTitle":617,"acronym":618,"eligibilityCriteria":619,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":620,"targetDuration":4,"studyType":23,"phases":622,"briefSummary":623,"conditions":624,"keywords":4,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":627,"lastUpdatePostDateStruct":628,"startDateStruct":630,"completionDateStruct":632,"leadSponsor":634,"locationsCount":635},"100588279","phase-3-the-application-of-positive-end-expiratory-pressure-in-out-of-hospital-cardiac-arrest-the-lazarus-peep-trial-100588279","NCT06939335","The Application of Positive End-Expiratory Pressure in Out-of-Hospital Cardiac Arrest: The Lazarus-PEEP Trial.","Lazarus-PEEP","Inclusion Criteria:\n\n1. Age: Adults aged 18 years and older.\n2. Type of Cardiac Arrest: Patients who have experienced a non-traumatic out-of-hospital cardiac arrest.\n3. CPR Administration: Patients receiving cardiopulmonary resuscitation from an advanced life support (ALS) team.\n4. Intubation and Ventilation: Patients who are intubated and ventilated during resuscitation efforts.\n\nExclusion Criteria:\n\n1. Cardiac arrest in patient younger than 18 years of age.\n2. Traumatic cardiac arrest, including drowning, penetrating or blunt injury, and burns.\n3. Immediate Return of Spontaneous Circulation (ROSC): Patients who achieve ROSC before intubation and initiation of intubation.\n4. Pregnancy.\n5. Mechanical ventilation during arrest: patients already receiving mechanical ventilation at the moment of cardiac arrest, due to reasons other than their arrest, will be excluded.\n6. Do Not Resuscitate (DNR) Orders: Patients with existing DNR orders or any advanced directive indicating that CPR should not be performed.\n7. Failure to intubate: if intubation is unsuccessful, ventilation by any means (MBV, SGA) should take priority over the study protocol, and the patient is excluded.\n8. Enrolment in Other Studies: Patients currently enrolled in another interventional clinical trial that could interfere with the outcomes of this study.",{"count":621,"type":22},132,[119],"The goal of this clinical trial is to learn whether using Positive End-Expiratory Pressure (PEEP) during cardiopulmonary resuscitation (CPR) improves outcomes for adults who experience out-of-hospital cardiac arrest, a condition where the heart suddenly stops beating. PEEP is used during ventilation, which may enhance oxygen levels by keeping the airways open throughout CPR.\n\nThis study aims to determine if using PEEP during CPR helps restart the heart more effectively, improves survival rates, and enhances survival with good neurologic outcomes after a cardiac arrest compared to standard CPR without PEEP.\n\nResearchers will randomly assign participants to one of two groups: one receiving CPR with PEEP set at 5 cm of water pressure and the other receiving standard CPR without PEEP. Participants will be treated by emergency medical teams trained in advanced life support, and specialised sensors will measure airflow and airway pressure during resuscitation.\n\nAdditionally, the study will evaluate potential side effects associated with PEEP, such as increased pressure within the chest or lung injuries. Findings from this trial will guide recommendations on the usage of PEEP in standard CPR practices to potentially improve patient outcomes.",[28,185,625,626],"Positive End-expiratory Pressure (PEEP)","Ventilation During Resuscitation","2026-01-20",{"date":629,"type":39},"2026-01-21",{"date":631,"type":39},"2025-04-25",{"date":633,"type":22},"2027-02-01",{"name":520,"class":46},7,{"id":637,"slug":638,"hasResults":12,"nctId":639,"briefTitle":640,"officialTitle":641,"acronym":4,"eligibilityCriteria":642,"healthyVolunteers":12,"sex":18,"minAge":55,"maxAge":4,"enrollmentInfo":643,"targetDuration":4,"studyType":23,"phases":645,"briefSummary":646,"conditions":647,"keywords":648,"overallStatus":162,"whyStopped":4,"lastUpdateSubmitDate":656,"lastUpdatePostDateStruct":657,"startDateStruct":659,"completionDateStruct":661,"leadSponsor":663,"locationsCount":47},"100620568","incidence-of-colon-ischemia-in-patients-after-cardiopulmonary-resuscitation-cpr-100620568","NCT07359313","Incidence of Colon Ischemia in Patients After Cardiopulmonary Resuscitation (CPR)","Incidence of Colon Ischemia in Patients After Cardiopulmonary Resuscitation (CPR): a Prospective Single-center Epidemiological Incidence Study","Inclusion Criteria:\n\n* adult patients (≥ 18 years) admitted to the participating department AND\n* in-hospital or out-of-hospital cardiac arrest (IHCA, OHCA)\n\nExclusion Criteria:\n\n* resuscitation period of ≤ 5 minutes\n* awake and contactable patients (GCS ≥ 13)",{"count":644,"type":22},200,[25],"Bedside colonoscopy 24-36 hours after successful CPR",[28],[30,649,650,651,652,653,654,655],"cardiopulmonary resuscitation","CPR","extracorporeal cardiopulmonary resuscitation","ECPR","VA ECMO","colonoscopy","mesenteric ischemia","2026-01-13",{"date":658,"type":39},"2026-01-22",{"date":660,"type":22},"2026-01-07",{"date":662,"type":22},"2028-02-06",{"name":664,"class":46},"University Hospital Freiburg"]