Active clinical trials for "Death"

The University Hospital Advanced Age Pregnant (UNIHOPE) Cohort is the major part of the National Key Research and Development Program on Reproductive Health & Major Birth Defects Control and Prevention Project, which is funded by the Ministry of Science and Technology of China. The Project is led by Prof. Zhao Yangyu, from the Department of Gynecology & Obstetrics, Peking University Third Hospital, and the UNIHOPE cohort is led by Prof. Jian-meng Liu, the Co-PI of the Project.

The "Registry of Malignant Arrhythmias and Sudden Cardiac Death - Influence of Diagnostics and Interventions (RACE-IT)" represents a mono-centric registry of patients being hospitalized suffering from malignant arrythmias (ventricular tachycardia or fibrillation) and sudden cardiac death (SCD). Detailed findings of patients' clinical outcome regarding mortality and co-morbidities related to the presence of invasive diagnostics or therapies including coronary angiography, percutaneous coronary intervention (PCI), electrophysiological testing (EP), catheter ablation and implanted cardiac devices (e.g. implantable cardioverter-defibrillators) will be documented. Patients will be included when being hospitalized from the year 2004 until today.

This study aims to assess brain death and deep coma with the self-made near infrared spectroscopy (NIRS) instrument. The investigators used the noninvasive method to monitor the Δ[HbO2] (the concentration changes in oxy-hemoglobin) and Δ[Hb] (the concentration changes in deoxy-hemoglobin) in the region around the forehead of medically evaluated participating patients and healthy subjects. A multiple-phase protocol at varied fraction of inspired O2 were utilized during the assessment.

The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after prolonged surgery. The investigators identify all patients undergoing prolonged surgery which the operation time >3 h, between 2000 and 2020, within the Wuhan Union hospital and all collaborators. The surgical patient cohort will be matched with the National Death database to determine the patient's postoperative death data. 60% patients were randomly selected to the development cohort. Logistic regression analysis for prediction of postoperative death adjusted for different covariates. The model was externally validated in the remaining 40% patients.

The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after emergency surgery. The investigators identify all patients treated with emergency surgery, between 2000 and 2020, within the Wuhan Union hospital and all collaborators. The surgical patient cohort will be matched with the National Death database to determine the patient's postoperative death data. 60% patients were randomly selected to the development cohort. Logistic regression analysis for prediction of postoperative death adjusted for different covariates. The model was externally validated in the remaining 40% patients.

The epidemiology of myocarditis is largely unknown and based mainly on small single-center studies. The study aim to evaluate the current incidence, clinical characteristics and outcomes of patients hospitalized due to myocarditis in a general population.

High-resolution, non-invasive electromechanical mapping in genotyped long-QT syndrome patients and healthy controls at baseline and during smart provocation.

The aim of the study is to evaluate if the electrophysiological study (EPS) guided therapy, including the prophylactic implantation of implantable cardioverter defibrillator (ICD), in inducible patients, is able to improve survival in comparison with conventional therapy (CONV strategy) in Myotonic Dystrophy type 1 patients with conduction disorders.

Background: The accurate estimation of the time of death is a challenge in forensic medicine, as the methods routinely used to assess the post-mortem interval (PMI) are far from being precise. Recent developments in biochemical techniques may provide the opportunity to assist in more precise estimation of the time of death. The focus has been placed on the study of the biochemical profiles of closed compartment body fluids, as they are longer preserved than blood after death and subject to confined post-mortem chemical changes. Cerebrospinal fluid (CSF) has been considered as a suitable fluid to investigate these changes, as it is easy to sample and found in large amount. Due to its closeness to the central nervous system (CNS), CSF is used in clinical settings for the diagnosis of various CNS disorders such as Alzheimer's disease, whose diagnosis is mainly based on the increase of the concentrations of Tau protein and its phosphorylated isoform (p-Tau) in CSF. A post mortem leakage of Tau into the CSF has also been shown, reflecting progressive neuronal death as in Alzheimer's disease. In this exploratory, cross-sectional study, we investigated Tau in post mortem CSF as a potential biomarker of the time of death. Objectives: The main objective was to assess the correlation between the concentration of Tau in CSF and the PMI. The secondary objectives were (1) to determine the inter-individual variability of the concentration of Tau for a same PMI; (2) to determine the kinetics of this concentration over time in the same individual; (3) to determine the variability of this concentration according to the site of collection (lumbar vs. sub-occipital).

The specified Apgar-Score in combination with the AAP-Score predicts the morbidity and mortality of asphyxiated newborns.