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Browse 3,513 clinical trials for heart disease. Find studies that match your criteria and connect with research centers.
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Showing 61-80 of 3,513 trials
NCT07365501
The PIRIC-FEp study will be a randomized clinical trial in sedentary patients with suspected heart failure with preserved ejection fraction. Objectives: 1) To evaluate the acute efficacy of remote ischemic preconditioning performed by nurses, a noninvasive cardioprotective intervention that uses cycles of ischemia and reperfusion in the extremities, in improving vascular parameters. Methodology: Patients will be recruited in Health Centers in the city. Those assigned to the intervention group will wear a self-administered blood pressure cuff, inflated to 220 mmHg for 5 minutes, followed by 5 minutes of deflation, in repeated cycles four times. The control group will receive no intervention. All participants will be examined, at baseline, 0 minutes post intervention, 30 minutes post intervention, 60 minutes post intervention and 24 hours post intervention. Different vascular parameters will be evaluated, including peripheral and central Systolic and Blood Pressure, peripheral and central Mean Arterial Pressure, peripheral and central Pulse Pressure, Heart Rate, Cardiac Output, Stroke Volume, Peripheral Vascular Resistance, aortic Pulse Wave Velocity and Augmentation Index normalized to a heart rate of 75 beats per minute. The study will be approved by an Ethics Committee, participants will be informed and will have to sign a written consent. The statistical analysis will include three phases: verification of randomization, use of covariance models for dependent variables, and sensitivity analysis with propensity score matching. All analyses will be performed on an intention-to-treat basis.
NCT07010562
Acorai is developing a non-invasive monitoring system for the estimation of intracardiac hemodynamic parameters in patients with suspected or confirmed heart failure, and/or pulmonary hypertension, who require hemodynamic assessment. The device will be intended as a companion test or clinical decision support tool to be used and interpreted by qualified healthcare professionals to aid standard-of-care clinical assessment in identifying hemodynamic congestion and supporting personalized treatment of heart failure and pulmonary congestion. This study is part of the development of a non-invasive monitoring system for the estimation of intracardiac hemodynamic parameters. It will be conducted to collect the data needed to train the machine learning models retrospectively.