View clinical trials related to Respiration Disorders.
Filter by:Pulmonary rehabilitation (PR) is an effective intervention for reducing hospital readmissions, secondary events, and mortality in patients with respiratory pathologies. The program should not be improved by introducing new subjects such as circadian rhythm.
The United Kingdom has a high prevalence of asthma (over 12%) and some of the worst health outcomes in Europe. The management of respiratory disease and associated patient outcomes has long been an area of focus and improvement for the National Health Service. With the advancement of digital health technology, there is the potential to transform patient care and improve outcomes. The Aptar Digital Health respiratory disease management platform, a digital therapeutic will be utilized to determine its value and how it supports: i) asthma patient engagement and facilitates communication between patients and providers to accelerate medication adherence; ii) asthma control through the use of the Asthma Control Questionnaire-5. In addition, spirometry and fractioned exhaled nitric oxide will be utilized during the study to validate and enhance current National Institute for Health and Care Excellence guidelines.
A multicenter study, using prospectively collected, fresh (Category I) and frozen (Category II), residual/leftover nasopharyngeal (NP) swab in UTM/UVT specimens obtained from symptomatic individuals suspected of COVID-19 infection. This study will evaluate the NeuMoDx SARS-CoV-2 Assay's clinical performance on the NeuMoDx 288 and NeuMoDx 96 Molecular Systems.
ABSTRACT Background and objective: To establish a ultrasound radiomics machine learning model based on endobronchial ultrasound (EBUS)to assistdoctors in distinguishing between benign and malignant diagnoses ofmediastinal and hilar lymph nodes. Methods: The clinical and ultrasonic image data of 197 patients wereretrospectively analyzed. The radiomics features were extracted by EBUS.based radiomics and dimensionality reduction was performed on thesefeatures by the least absolute shrinkage and selection operator (LASSO)EBUS-based radiomics model was established by support vector machine(SVM).205 lesions were randomly divided into a training group (n=143)and a validation group (n=62). The diagnostic efficiency was evaluated byreceiver operating characteristic (ROC).Results: A total of 13 stable features with non-zero coefficients wereselected. The support vector machine (SV) model exhibited promisingperformance in both the training and verification groups. In the traininggroup, the SVM model achieved an area under the curve (AUC) of 0.892(95% CI: 0.885-0.899), with an accuracy of 85.3%, sensitivity of 93.2%and specificity of 79.8%.In the verification group, the SVM modeldemonstrated an AUC of 0.906 (95% C: 0.890-0.923),along with anaccuracy of 74.2%,sensitivity of 70.3%, and specificity of 74.1% Conclusion:EBUS-based radiomics model can be used to differentiatemediastinal and hilar benign and malignant lymph nodes. The SVM modeldemonstrates superiority and holds potential as a diagnostic tool in clinical practice
The goal of this observational study is to evaluate whether the airway occlusion pressure recorded during a sudden end-expiratory breath-hold (ΔPocc) is correlated with esophageal swing in pressure and the reliability of P0.1, driving pressure, plateau pressure, pressure-muscle index, and diaphragm ultrasound as noninvasive estimates of inspiratory effort and lung distension in hypoxemic patients undergoing NIV. The main questions this trial aims to answer are: - Primary Outcome: whether the airway occlusion pressure recorded during a sudden end-expiratory breath-hold (ΔPocc) is correlated with esophageal swing in pressure and the reliability of various noninvasive estimates of inspiratory effort and lung distension in hypoxemic patients undergoing NIV. Secondary outcomes will include: - Statistic metric of association between P0.1, ΔP, PMI and ΔPes - Statistic metric of association between P0.1, ΔPocc, ΔP, PMI and PaO2/FiO2 ratio - Statistic metric of association between P0.1, ΔPocc, ΔP, PMI and tidal volume - Statistic metric of association between P0.1, ΔPocc, ΔP, PMI and DTF% - Statistic metric of association between P0.1, ΔPocc, ΔP, PMI and Ex/DTF% - Statistic metric of association between P0.1, ΔPocc, ΔP, PMI and respiratory rate, VAS dyspnea and VAS discomfort. Participants will undergo the following tasks and treatments: - Complete written informed consent before enrollment. - Post-extubation noninvasive ventilation via nose-to-mouth and full-face masks. - Monitoring of esophageal pressure (in all patients the catheter will be placed before extubation, according to clinical judgment, and its correct position will be verified through a positive pressure occlusion test) - Continuous recording of airway pressure, flow, and esophageal pressure (Pes), using a dedicated pneumotachograph and pressure transducer. - Sudden end-inspiratory and end-expiratory occlusion maneuvers, to measure plateau pressure (Pplat) and end-expiratory airway occlusion pressure (ΔPocc), respectively. - Collection of hemodynamic and arterial blood-gas parameters, performed according to clinical judgment, along with assessments of dyspnea and discomfort using a modified visual analogue scale (VAS). - Diaphragm ultrasound during occlusion maneuvers, measuring diaphragm displacement, diaphragm thickening fraction (DTF%), and diaphragmatic excursion (Ex) under various conditions.
The purpose of this study is to describe infectious and non-infectious lower respiratory tract diseases in children with Down syndrome followed in pediatric pulmonology consultations in Ile de France.
Pediatric dyspnea is a major health problem, accounting for up to 27% of admissions to emergency departments in winter. It is estimated that a significant number (13%) of patients presenting to emergency departments are outpatients, at a time when emergency departments are having to cope with an ever-increasing flow of patients. Proper referral of patients calling the SAMU Centre-15 takes on its full meaning in this context, but regulating paediatric calls is more difficult. Indeed, the regulating doctor is most often in contact with the parents, who describe what they see and pass on their concerns, and it is difficult to have direct contact with patients who are often very young. Obtaining objective criteria such as saturation and respiratory rate is also a real challenge. To overcome the complexity of medical regulation, a number of tools and aids have been developed, including visio or video-regulation (regulation via the camera on the caller's smartphone). This device has been evaluated in a number of situations, enabling it to take its place in the daily practice of many doctors, but there is very little data concerning pediatric visio-regulation, particularly with regard to dyspnea. To the best of the investigator knowledge, there is no prospective study looking at the impact of Video-Regulation on the outcome of patients requiring the advice of SAMU Centre-15 for pediatric dyspnea.
A wearable remote patient monitor (AeviceMD) is to be used to monitor the respiratory health of pediatric asthma patients in this pilot study. Patients prescribed with AeviceMD should be able to gain better control over their disease during home management. Physicians should be able to optimize treatment for these patients using objective data collected from and of these patients outside of the clinic. The AeviceMD should also be used as a remote auscultation device for teleconsultations.
The purpose of this study is to investigate the auxiliary benefits of three-dimensional printed activating assistive devices for soft-mist inhaler on patients' utilization habit.
Testing a questionnaire about treatment with steroids for skin, lung or gastric conditions