Active clinical trials for "Respiration Disorders"

The TRACK ("Test for Respiratory and Asthma Control in Kids") questionnaire is a validated instrument to evaluate the control of respiratory symptoms in young children. The TRACK questionnaire was developed in English and a version in Portuguese is not available or validated, purpose of the present project.

- Estimate the incidence rate of hMPV infection detected by RT-PCR from frozen nasal wash aspirates in children at high risk for severe LRI disease (hospitalized at <2 years of age).

The diagnosis of a lung function anomaly requires the evaluation of pulmonary function by spirometry. However, some patients (e.g. children, elderly, or diseased individuals) may have difficulty performing the related forced maximal respiratory maneuver correctly. Forced Oscillation Technique (FOT) measures lung impedance during tidal breathing, requiring minimal patient cooperation. The purpose of this study is to establish the diagnostic accuracy of FOT parameters alone or in combination with lung volumes in detecting lung function anomalies as compared with spirometry and with the diagnosis made by the physician.

The purpose of this study is to determine the utility of point-of-care lung ultrasound (POC-LUS) in identifying the etiology of acute respiratory failure in pediatric patients admitted to the pediatric intensive care unit.

Study clinical characteristics and phenotypes of patients diagnosed with NSAID sensitivity in Thailand

Assessment of lung function requires the evaluation of pulmonary function by spirometry. However, some patients (e.g. children, elderly, or diseased individuals) may have difficulty performing the related forced maximal respiratory maneuver correctly. Forced oscillation technique (FOT) is increasingly being used in clinical settings to evaluate lung function noninvasively by measuring the mechanical input impedance of the respiratory system. FOT measures lung impedance during tidal breathing, requiring minimal patient cooperation. Recently a new methodology (within breath analysis) has emerged to evaluate changes that occur in the impedance during the breathing activity. The within-breath calculation of impedance allows separating the contribution of inspiration and expiration to the measured parameters. The purpose of this study is to establish reference ranges for within breath FOT parameters and their short term variability.

In this prospective study we extracted acoustic parameters using PRAAT from patient's attempt to phonate during the clinical evaluation using a digital smart device. From these parameters we attempted (1) to define which of the PRAAT acoustic features best help to discriminate patients with dysphagia (2) to develop algorithms using sophisticated ML techniques that best classify those i) with dysphagia and those ii ) at high risk of respiratory complications due to poor cough force.

This study uses a new breathing device called 'N-Tidal C' handset which measures breathing patterns. Investigators have found that people with cardiac and respiratory illnesses breathe out a gas, called carbon dioxide (CO2), in a different way to healthy people. The pattern of breathed out CO2 (the waveform) varies according to the underlying health of the user's lungs. Monitoring these changes may help doctors to more accurately diagnose and monitor the most common and serious respiratory conditions.

Fluorescence is one of the most commonly used research and detection techniques in the field of biomedical science. The characteristics of fluorescent probe directly affect the performance and application of fluorescence analysis and imaging. Aggregation-Caused Quenching has limited the application of traditional fluorescent probes to some extent. This project intends to systematically evaluate the detection efficiency of new methods through the detection of biomarkers in clinical samples and the comparison with the detection methods of traditional biomarkers, so as to provide theoretical and experimental basis for the establishment of fast and simple biomarker detection technologies with new biological probes.

CUT COVID is a cohort study establised to collect information on patients hospitalized because or with infection by SARS-CoV-2. The cohort data includes clinical data and biological samples from multiple timepoints during hospitalization, as well as data from a followup consultation 3 months after discharge.