Quality of Cardiopulmonary Resuscitation Pre- and Intra Hospital
Cardiac DeathCardiac Arrest2 moreThe survival after intrahospital cardiac arrest has been reported to 15%. In Norway this varies between 16 and 23%.). Many factors are associated with survival after cardiac arrest, both intra- and prehospital. Recent studies have not included information about individual patient factors and the outcome after cardiopulmonary resuscitation (CPR). In the current hospital, we are able to record patient specific information related to a cardiac arrest/CPR situation, and thereby be able to assess patient-related factors associated with both detection, treatment and outcome of CPR.
Genome-Wide Association Study With the Aim of Implantable Cardioverter Defibrillator Implantation...
ICDArrythmia1 moreThis clinical study will be conducted with funding from European Innovation Council(EIC) after approval of the fund grant and is part of our organization's European Pathfinder Project(Ref: HORIZON-EIC-2022-PATHFINDERCHALLENGES-01). The clinical study step of this project will be started in a retrospective time prospective manner by gathering the phenotypic(clinical measuring factors) data from patients who underwent ICD implantation therapy. The study will be done as a case-control type in which patients who did not get any shocks in 6 months post-implantation will be allocated to the control group. A customized and highly specific cardiogenomics panel will be designed and ordered to be specially manufactured as a standard kit by Illumina® (San Diego, California, U.S.) following an exhaustive investigation for collecting genetic variants which correlated to cardiovascular development. Mentioned kit bears the standard and validated technology which is part of the genetic tests routine and is being produced by Illumina® incorporate. However, as an option manufacturer is designing custom kits for research purposes by getting the desired variant lists using the same technology. Accordingly, enrolled patients in the study will be prospectively sampled ( Non-Invasive saliva sampling) for getting genetically analysed by Illumina®'s Infinium Assay Microarray platform with fully customized 700,000 single nucleotide polymorphism kits. The result of this sampling will be data and statistically analysed in a genome-wide association study(GWAS) manner by considering the 5x10-8 p.value and will be associated with each phenotypic parameter. Accordingly, the study will assess the genetic risk stratification in ICD patients in a much more detailed fashion. Following this assessment genophenotypic statistical analysed will be done to combine both parameters and generate a formula for scoring the indicator factors based on each odds ratio. Correspondingly, this new scaling formula will be analysed, verified and validated further by a randomized sampling of the population in our study before being stated. Additionally, This study will not only help to improve current genetic polymorphism clinal significant status (pathogenicity and significance of variant) but also can associate new markers with high significance that can be directly used in clinical screening, diagnosis or clinical approaches.
Cardiac Arrest Post-Discharge ECG Monitoring
Heart ArrestArrhythmias2 moreThe primary aim is to conduct a prospective observational cohort study to analyze the incidence of serious arrhythmic events that occur within 14 days after hospital discharge in patients who had been hospitalized for cardiac arrest caused by acute myocardial infarction. Cardiac arrythmias following hospital dischagre will be detected with Philips ePatch® 2.0 for 14 days.
LEARN: Learning Environment for Artificial Intelligence in Radiotherapy New Technology
ArrhythmiasCardiac8 moreThis study will develop a whole-of-body markerless tracking method for measuring the motion of the tumour and surrounding organs during radiation therapy to enable real-time image guidance. Routinely acquired patient data will be used to improve the training, testing and accuracy of a whole-of-body markerless tracking method. When the markerless tracking method is sufficiently advanced, according to the PI of each of the data collection sites, the markerless tracking method will be run in parallel to, but not intervening with, patient treatments during data acquisition.
Testing VIRTUES Patient Care Sets in Cardiac Patients (VIRTUES Cardiac Care)
Heart DiseasesArrhythmias4 morePatients with various cardiac conditions (such as those who experience a heart attack) are increasing in Canada and are in need of appropriate cardiac rehabilitation and care. Many patients do not have access to local in-person cardiac clinics, particularly in rural regions of Canada. A user-friendly digital application with accessible educational resources and recommendations based on the most up to date clinical practice guidelines can help mitigate these issues. VIRTUES is a digital healthcare application that targets 11 modifiable modules as follows: antithrombotic management lipid management rate and rhythm control for atrial fibrillation heart failure care post myocardial infarction care blood sugar management blood pressure management physical activity healthy eating smoking cessation alcohol reduction Of the 11 total modules, the first 7 listed provide recommendations in VIRTUES. The remaining 4 (physical activity, healthy eating, smoking cessation and alcohol reduction) consist of simple referrals to existing recommendations (i.e., for healthy eating and physical exercise) and referrals to existing local programs (i.e., for smoking cessation and alcohol reduction). Thus, in this cohort study, the investigators will test the primary 7 modules with 200 patients per module for approximately one month each in order to obtain feedback on the usability of each module. The investigators will also conduct virtual focus group discussions to obtain open ended feedback on the application. This study will provide valuable feedback, which will be used to improve and adapt the VIRTUES application.
Assessing the Predictive Value of High Frequency Algorithm of PURE EP for Low Amplitude Signal Detection...
Cardiac ArrhythmiasPrior multicenter study demonstrated superiority of PURE EP to conventional mapping. This superiority was seen when comparing small, fractionated signals of interest, near-field vs far-field distinction, and general signal quality (2). Hence, investigators propose a retrospective study to assess the predictive value of high frequency algorithm (HFA) for identifying local physiologic signal under 0.3 mV distinctive of noise.
A Study of Cardiac Arrhythmia and ECG Changes in Children With Convulsions at Sohag University Hospital...
ConvulsionsConvulsion is a common pediatric disorder and there is strong relation between convulsion and cardiovascular system which revealed by ECG monitoring and there are many ECG abnormalities attributed to different causes of convulsions, A 12-lead ECG is a low-cost test and can detect clinically significant abnormalities such as long QTc interval or heart block. Doing an ECG in all patients presenting with seizures clinic, inevitably, pick up non-specific abnormalities which require further investigation. Moreover, a normal 12-lead ECG does not exclude a cardiovascular cause for collapse and for those in whom a cardiac cause is still suspected despite a normal ECG, referral to a cardiologist is advisable
Catheter Ablation of Arrhythmias to Improve CRT Response
ArrhythmiaCardiacThe purpose of this study is to test if catheter ablation is better than medication therapy at treating arrhythmias originating from the upper and/or lower chambers of the heart in order to allow the heart to beat properly.
Echocardiography-based Motion Integration and Management for Substrate Characterization and STAR...
Ventricular ArrythmiaProspective, observational, single center, pilot study to analyze the feasibility of motion and structural data integration in patients with ventricular arrhythmia by means of artificial intelligence for improved arrhythmogenic substrate characterization and motion management during stereotactic arrhythmia radioablation.
Development of an Artificial Intelligence Algorithm to Detect Pathological Repolarization Disorders...
Cardiac DiseaseVentricular ArrythmiaThe objective of this study is to prospectively validate in real life cohorts from various departments of the APHP our artificial intelligence (deep-learning) models allowing for : automatic measurement of various ECG quantitative features, identification and typing of LQT and risk of TdP.