View clinical trials related to Risk Stratification.
Filter by:The aim is to evaluate the outcome and safety of risk-stratification oriented treatment for pediatric Ewing sarcoma in multicenters .
To evaluate the feasibility, applicability, effectiveness, and health-economic value of the risk-based sequential screening modality for esophageal and gastric cancers, the investigators aim to initiate a community-based randomized controlled trial in Xun County, Henan Province, which is a high-risk region of upper gastrointestinal cancer (UGIC) in northern China. A total of 258 target villages from all the 11 communities (townships and streets) in Xun County will be randomly selected and assigned to the sequential screening group and the universal screening group at a ratio of 2:1 and the total sample size will be 21,000. In the sequential screening group, participants in the top 50% risk level (i.e., stratified as the high-risk subgroup) will be offered a standard upper gastrointestinal endoscopic screening. In contrast, all participants in the universal screening group will receive the endoscopic examination. The surveillance strategy for participants with screening-detected premalignant lesions in the sequential screening group will be tailored based on individualized risk assessment using endoscopic characteristics, pathological diagnosis, and biomarkers. Surveillance for participants in the universal screening group will adhere to current guidelines for UGIC screening and clinical treatment. Detection rates of upper gastrointestinal malignant lesions, early-stage malignant lesions and premalignant lesions, and health-economic indicators such as the unit cost per detected malignant lesions will be compared between the two groups.
Over the past decades, several ECG-based parameters have been identified as independent predictors of worsened prognosis in affected patients. In addition to visual assessment of morphology, methods of computer-based machine ECG analysis have gained importance in recent years. These methods allow the detection of systemic abnormalities in ECGs that are not visible to the naked eye. An example of this is provided by the so-called "QRS microfragmentations". The aim of this evaluation is to retrospectively collect all established as well as new quantitative and qualitative ECG parameters (such as QRS microfragmentation) in a large patient collective. Subsequently, after characterization of the patients, an independent multivariate risk prediction model should be developed based on computer-based ECG analysis using maschnine learning algorithms.
The goal of this study is to investigate children with aortic and pulmonary valve disease treated or untreated longitudinally. Established CMR measures with additional newly developped, promising, highly refined and clinically applicable quantitative imaging biomarkers, will be utilized as compared to the conventional CMR estimates. The main question[s] it aims to answer are: - [question 1]To evaluate risk stratification for surgery and intervention of the aortic- and pulmonary valve - [question 2]Investigate the cardiac and vascular hemodynamic and morphological changes before and after interventional or surgical treatment of the aortic- and pulmonary valve at short and long term. Participants will undergo cardiac MRI before and after interventional or surgical treatment of the aortic or pulmonary valve Researchers will compare MRI data to an age matched control group established at the department in another study.
Retrospective observational study on the effects of altering components of RCRI to improve the predictive capacity.
Early Warning Score (EWS) is a clinical scoring system used in hospitals in Denmark and internationally to systematically observe admitted patients using a standardised response algorithm. Consisting of a score based on the patients' vital signs, it only leaves limited space for individual assessment. Patient safety but also resource utilisation is a key issue in health systems today. We have developed a new individual EWS system (I-EWS) that reintroduces the individual clinical assessment for a more personalised observation. Our hypothesis is that I-EWS will not increase the mortality among hospitalised patients compared to EWS but will improve workflow by reducing unnecessary observations and freeing staff resources, potentially leading to improved patient care. The impact of I-EWS on mortality, the occurrence of critical illness, and usage of staff resources will be evaluated in a prospective, cluster randomised, non-inferiority study conducted at eight hospitals in Denmark.
Main objective: To design a precision risk stratification system that predicts individual risk of rejection
Predict-VT is an investigator-initiated, prospective, observational clinical trial. Four hundred patients with ST elevation acute myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI) will be included. The primary end point is a composite of ventricular tachyarrhythmia (VTA) and sudden cardiac death (SCD). VTAs will be recorded using continuous electrocardiographic (ECG) monitoring in the coronary unit for the first 72 hours, standard ECG and ECG holter monitoring. For the analysis of myocardial function, conventional 2D echocardiography and tissue doppler will be used. For the evaluation of myocardial mechanics, 2D speckle tracking, strain, strain rate and mechanical dispersion will be obtained. Important clinical, laboratory and angiographic variables will also be examined. Patients will be followed-up at 40 days and 1 year. The optimal VTA prediction model will be constructed using logistic regression and bootstrap models. Patients who experience primary end point should undergo secondary SCD prevention using implantable cardioverter defibrillator (ICD). Patients with left ventricular ejection fraction (LVEF) < 35%, 40 days post acute myocardial infarction (AMI), will be candidates for primary SCD prevention.
Patients with preexcitation are at risk for sudden cardiac death. The pathogenesis is a rapid antegrade conduction of atrial fibrillation over the accessory pathway to the ventricle resulting in ventricular fibrillation. Today it is possible to eliminate the conduction over the accessory pathway by catheter intervention (radiofrequency ablation) with a low rate of complications and a high rate of success. In clinical practice it is therefore important to estimate the risk for sudden cardiac death in an individual patient to give an advice to the patient and the parents about the further evaluation and therapeutic strategy. The velocity of the conduction over the accessory pathway can be estimated by analysing the ECG during sinus tachycardia. If the preexcitation disappears at a relatively low heart rate, the risk for sudden death is less than in patients with persisting preexcitation at the maximal heart rate. Compared to the gold standard i.e. measurement of the refractory period of the accessory pathway during invasive electrophysiological study (EPS), the measurements at the stress ECG have been reported to be a relatively poor indicator for an elevated risk which may be explained by a high intraindividual variability of this test. This study is designed to define the clinical relevance of the stress ECG in paediatric patients with preexcitation (compared to the invasive electrophysiological study). First Hypothesis: The results of the 3 stress ECG-tests are reproducible in an individual patient. Null hypothesis: there is no difference between the three measurements of cycle length during stress ECG. Alternate hypothesis: the difference between the three measurements of cycle length is > 10%. Second Hypothesis: There is a close correlation between the results at stress ECG and the results at the invasive electrophysiological Intervention.
Acute myeloid leukemia with t(8;21) /AML1-ETO-positive (AE AML) is a heterogeneous disease entailing different prognoses. There were significant differences in the therapeutic effect between different subgroups of AE AML. Therefore, risk stratification-directed therapy is very necessary for AE AML.