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4 clinical studies listed.

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Valvular Diseases

Tundra lists 4 Valvular Diseases clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.

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RECRUITING

NCT07116343

Intrapleural Ropivacaine Infusion in Cardiac Surgery

For many patients, a primary source of postoperative pain following cardiac surgery is the presence of pleural drains, which the surgeon places at the end of the operation and maintains for 1 to 3 days. One promising method of pain management after cardiac surgery is interpleural analgesia, particularly when traditional analgesic methods, such as systemic opioids or epidural anesthesia, may be limited due to the risk of complications. Interpleural analgesia involves the introduction of local anesthetics directly into the pleural cavity through drainage tubes placed after cardiac surgery. This method targets pain receptors in the chest area, providing effective analgesia without significant systemic effects. Several clinical studies have confirmed the safety and efficacy of intrapleural administration of anesthetics after thoracic surgery. The aim of this randomised double-blind placebo controlled study is to test the hypothesis that, in patients after cardiac surgery, the quality of recovery from anesthesia with intrapleural use of ropivacaine is superior to that with a placebo.

Gender: All

Ages: 18 Years - Any

Updated: 2026-03-10

Cardiac Surgery
Coronary Artery Disease
Valvular Diseases
RECRUITING

NCT01932411

Factors Affect Outcomes in Cardiovascular Surgery

Identify factors that contribute to perioperative morbidity and mortality in patients undergoing cardiac surgery that involves cardiopulmonary bypass. Identify factors that affect perioperative morbidity and mortality in patients undergoing cardiac surgery.

Gender: All

Ages: 18 Years - Any

Updated: 2026-02-12

1 state

Coronary Artery Disease
Valvular Diseases
Vascular Diseases
NOT YET RECRUITING

NCT06984172

Effectiveness of Remote Cardiac Rehab After Surgery for Acquired Heart Valve Disease

The goal of this clinical trial is to learn if home-based cardiac rehabilitation using remote monitoring devices improves exercise capacity in patients after surgery for acquired heart valve diseases. It also aims to learn about factors affecting the outcomes of remote treatment. The main questions it seeks to answer are: * How does cardiac rehabilitation using remote monitoring devices improve exercise capacity in participants compared to those undergoing rehabilitation at medical facilities? * What factors influence the outcomes of participants undergoing cardiac rehabilitation with remote monitoring devices? The researchers compare the exercise capacity of the intervention group - receiving home-based cardiac rehabilitation using remote monitoring devices - with that of the control group receiving treatment at a rehabilitation facility during the recovery phase. All patients participating in the study receive inpatient cardiac rehabilitation during the acute phase (1 week) and the early recovery phase (1 week) at the hospital. The control group continues supervised outpatient rehabilitation at the hospital, three sessions per week for the following month. The intervention group undergoes home-based rehabilitation under the guidance of a therapist via the Open TeleRehab platform and self-monitors hemodynamic parameters using a personal blood pressure monitor and a handheld pulse oximeter. Both groups are assessed for exercise capacity at baseline (pre-surgery), after each phase of rehabilitation, and one month after hospital discharge.

Gender: All

Ages: 18 Years - 70 Years

Updated: 2025-05-22

Valvular Diseases
ENROLLING BY INVITATION

NCT06763549

COR-INSIGHT: Optimizing Cardiovascular and Cardiopulmonary Outcomes with AI-Driven Multiplexed Indications Using COR ECG Wearable

The COR-INSIGHT trial aims to evaluate the effectiveness of Peerbridge COR advanced ambulatory ECG wearables (COR 1.0 and COR 2.0) in accurately and non-invasively detecting cardiovascular and cardiopulmonary conditions using AI-based software (CardioMIND and CardioQSync). The study devices offer non-invasive, multiplexed, AI-enabled direct-from-ECG detection as a novel alternative to traditional diagnostic methods, including imaging, hemodynamic monitoring systems, catheter-based devices, and biochemical assays. Continuous COR ECG data collected in hospital, outpatient clinic, or home settings will be analyzed to evaluate the predictive accuracy, sensitivity, specificity, and performance of these devices in differentiating between screen-positive and screen-negative subjects. The panel of screened indications encompasses a broad spectrum of clinically relevant cardiovascular, cardiopulmonary, and sleep-related diagnostic parameters, which are critical for advanced patient assessment and management. In the cardiovascular domain, the protocol emphasizes the detection and classification of heart failure, assessment of ejection fraction severity, and identification of myocardial infarction, including pathological Q-waves and STEMI. It further addresses diagnostic markers for arrhythmogenic conditions such as QT interval prolongation, T-wave alternans, and ventricular tachycardia, as well as insights into ischemia, atrial enlargement, ventricular activation time, and heart rate turbulence. Additional parameters, such as heart rate variability, pacing efficacy, electrolyte imbalances, and structural abnormalities, including left ventricular hypertrophy, contribute to comprehensive cardiovascular risk stratification. In the non-invasive cardiopulmonary context, the protocol incorporates metrics like respiratory sinus arrhythmia, cardiac output, stroke volume, and stroke volume variability, providing critical insights into hemodynamic and autonomic function. The inclusion of direct-from-ECG metrics for sleep-related disorders, such as the apnea-hypopnea index, respiratory disturbance index, and oxygen saturation variability, underscores the protocol's utility in addressing the intersection of cardiopulmonary and sleep medicine. This multifaceted approach establishes a robust framework for precision diagnostics and holistic patient management. The COR 1.0 and COR 2.0 wearables provide multi-lead ECG recordings, with COR 2.0 offering extended capabilities for cardiopulmonary metrics and longer battery life (up to 14 days). COR 2.0 supports tri-modal operations: (i) Extended Holter Mode: Outputs Leads II and III, mirroring the functionality of COR 1.0 for broader ECG monitoring applications. (ii) Cardiopulmonary Mode: Adds real-time recording of Lead I, V2, respiratory impedance, and triaxial accelerometer outputs, providing advanced cardiopulmonary insights. (iii) Real-Time Streaming Mode: Streams data directly to mobile devices or computers via Bluetooth Low Energy (BLE), enabling real-time waveform rendering and analysis. The COR 2.0 units are experimental and not yet FDA-cleared. Primary endpoints include sensitivity (true positive rate) \> 80%, specificity (true negative rate) \> 90%, and statistical agreement with reference devices for cardiovascular, cardiopulmonary, and sleep metrics. Secondary endpoints focus on predictive values (PPV and NPV) and overall diagnostic performance. The study employs eight distinct sub-protocols (A through H) to address a variety of cardiovascular, cardiopulmonary, and sleep-related diagnostic goals. These sub-protocols are tailored to specific clinical endpoints, varying in duration (30 minutes to 14 days) and type of data collection. Up to 15,000 participants will be enrolled across multiple sub-protocols. Screening ensures eligibility, and subjects must provide informed consent before participation. Dropouts and non-compliant subjects will be excluded from final analyses.

Gender: All

Ages: 18 Years - Any

Updated: 2025-01-08

1 state

Cardiopulmonary Failure
Myocardial Infarction (MI)
Heart Decompensation
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