View clinical trials related to Pulmonary Valve Insufficiency.
Filter by:The study is an exploratory retrospective observational study with the aim to describe outcome fo the cohort of patients that receive non-invasive ventilation at an intensive care unit. Main research questions are: - Characteristics of the cohort. - The course for the patients at the ICU. - ICU-mortality and 30-day mortality - Amount of patients with limitations of care. - Factors associated with mortality.
Peripheral oxygen saturation, non-invasive blood pressure, heart rate, respiratory rate and respiratory rate are routinely used in our intensive care unit in the follow-up of patients. In the study, the patient papers will be followed and the respiratory support of the patients will be recorded and all follow-ups will be made from the patient follow-up chart. The aim of this study is to compare the CPAP and HFO methods.
Randomized, control crossover study comparing Umbulizer's efficacy to traditional mechanical ventilators
High-throughput oxygen therapy is known as an alternative to non-invasive ventilation, with a benefit in terms of survival in non-hypercapnic respiratory failure patients. The use of high-throughput oxygen therapy is well studied in stable chronic obstructive pulmonary disease (COPD) patients and has as known effects the decrease of transcutaneous CO2 and respiratory rate, and the increase in the inspiratory/expiratory time report, in the tidal volume and in the forced expiratory volume per second. In the event of an exacerbation, high-flow oxygen therapy has shown to be beneficial in terms of increased mean airway pressure, tidal volume with a decrease in hypercapnia, and respiratory rate. The net effect on the CO2 pressure is linked to the CO2 clearance of the dead anatomical space by the high throughput. The effect can be compared with the one of non invasive ventilation in a stable COPD patient. Oxygen therapy, even in patients with non-hypoxic COPD at rest, has benefits in terms of performance and improvement of quality of life. High-throughput oxygen therapy has also shown a benefit in COPD patients in revalidation units, in terms of exercise performance and oxygenation. However, the reconditioning of critical patients in acute situations, by means of nasal goggles, has never been studied.
Optical guidance for percutaneous tracheostomy in intensive care is usually performed by conventional multi use bronchoscopy. Recently a single use bronchoscope has been introduced that allows for endotracheal visualization. For feasibility evaluation, 23 patients in intensive care receive percutaneous tracheostomy with optical guidance by the Ambu® aScopeTM 4 bronchoscope and 23 patients in intensive care receive percutaneous tracheostomy with a conventional bronchoscope (Olympus BF Type P60). The primary end point is the visualization through the single use bronchoscope of endotracheal landmark structures for tracheostomy and visualization of the needle insertion (according to score, see detailed description).
The pilot/feasibility study evaluates the ability of High Velocity Nasal Insufflation (HVNI) therapy to facilitate ambulation and mobilization in patients experiencing shortness of breath, as compared to simple oxygen therapy.
Objective: To evaluate the effectiveness of two protocols of inspiratory muscle training (IMT) in older women to improve respiratory strength, spirometric parameters and dyspnea. Low-intensity vs high-intensity resistance training programs. Evaluations: Determination of the maximum inspiratory pressure (MIP) and the maximum expiratory pressure (MEP); spirometry - maximum voluntary ventilation (MVV), peak expiratory flow (PEF), tidal volume (TV); functional capacity measured with 6 minute walk test; dyspnea using the Borg scale and clinical evaluations. The participants will be evaluated at the beginning and end of the intervention period. Intervention: There are two groups of patients, one works with low loads (20% MIP) and another with high loads (40% MIP). They train 5 days/week 15 cycles lasting 1 minute. There is a rest of 1 minute between each cycle.
Nutritional status in critically ill pediatric patients is considered a fundamental prognostic factor in terms of mortality, morbidity, complications and outcome. Many studies report how predictive equations most commonly applied are inaccurate, therefore under or over estimating the body energy requirements. For this reason, actual measurement of resting energy expenditure (REE) through indirect calorimetry (IC) is considered to be a better approach. Currently, IC is not validated during the use of non-invasive ventilation. Aim of the present study is to validate the measurement of REE with IC in pediatric patients undergoing non-invasive ventilation through a single-limb circuit with intentional leak.
The plethysmographic variation index (PVi) is a measure of the respiratory-induced variations in the plethysmographic waveform. Interestingly, in mechanically ventilated patients and under certain conditions, PVi may reflect fluid responsiveness (FR). Patients treated with high flow nasal cannula (HFNC), which has been described as a useful supportive therapy in spontaneously breathing patients with respiratory failure, may present the same hemodynamic changes, measured by transthoracic echocardiography, as those patients who are mechanically ventilated (MV). The hypothesis of the present study is that the PVi may predict FR in HFNC patients and, therefore, the objective is to investigate whether the PVi can predict FR in patients treated with HFNC.
Background: Computer aided auscultation in the differentiation of pathologic (AHA class I) from no- or innocent murmurs (AHA class III) via artificial intelligence algorithms could be a useful tool to assist healthcare providers in identifying pathological heart murmurs and may avoid unnecessary referrals to medical specialists. Objective: Assess the quality of the artificial intelligence (AI) algorithm that autonomously detects and classifies heart murmurs as either pathologic (AHA class I) or as no- or innocent (AHA class III). Hypothesis: The algorithm used in this study is able to analyze and identify pathologic heart murmurs (AHA class I) in an adult population with valve defects with a similar sensitivity compared to medical specialist. Methods: Each patient is auscultated and diagnosed independently by a medical specialist by means of standard auscultation. Auscultation findings are verified via gold-standard echocardiogram diagnosis. For each patient, a phonocardiogram (PCG) - a digital recording of the heart sounds - is acquired. The recordings are later analyzed using the AI algorithm. The algorithm results are compared to the findings of the medical professionals as well as to the echocardiogram findings.