View clinical trials related to Respiration Disorders.
Filter by:A cross-sectional study is expected to conducted by inquiring about the history, diagnosis results and medication details of respiratory diseases of the outpatient pediatric patients with respiratory diseases in the pediatric departments at specialist children's hospital at the second class and above, general hospitals and maternal and child healthcare hospitals. About 10,000 electronic questionnaires are expected to be collected in total, with about 100 participating hospitals and 100 electronic questionnaires from each participating hospital.Diagnosis and treatment information of pediatric patients are expected to be collected in the third week in April, July and October 2021 and in January 2022.
Chronic Respiratory Disease (CRD), particularly asthma and chronic obstructive pulmonary disorders (COPD) are leading causes of mortality and reduced quality of life due to its wide-reported association with other multi-morbidities.There is limited knowledge on the burden of CRD in the rural communities in Bangladesh due to poor awareness on the impact of CRD on quality of life and unavailability of diagnostic facilities due to weaker primary healthcare settings. The study aims to estimate the CRD burden in Bangladesh in a large representative population to draw the attention of policy makers to the creation of social awareness and improvement of primary healthcare infrastructure for respiratory disease in Bangladesh. The study is a prospective observational one in nature. The study will be implemented in Mirzapur, a rural sub-district of Tangail district in Bangladesh within the period of February to May 2021. A total of 981 participants will be enrolled from the study. Verbal consent will be taken initially. Participants who are assessed to be COVID-19 negative will be invited for a visit to the mobile clinic following national health guidelines to perform the spirometry. The study team will provide an information sheet (written in local language) that describes the study aim and objectives with potential risk benefits to the participants. All participants will be enrolled through written consent and satisfactory response to the patient information sheet. The Research Assistant (RA) will collect the relevant metadata such as demographics, information on risk factors, screening questionnaires relevant to asthma and COPD, reported health status and symptoms related to CRD etc. from the participant after obtaining the written consent. Data quality will be ensured by the Field Research Supervisor through checking all the collected information. The enrolled participants will undergo spirometry for the evaluation of their lung function. Spirometry will be collected by trained personnel and will be quality checked by an expert panel at CHRF. Repeated collection will take place in the event if the test results do not pass quality checking. Participant will also be invited to the study clinic within the next 10 days after assessment for any further clinical assessment that is deemed necessary by the study physician. The collected data and spirometry reports will be reviewed to evaluate the CRD patient in terms of their disease. The study will analyse the rate of CRD burden stratified by age, sex, and income group. The productivity loss will be measured in terms of work hours lost due to CRDs.
This is a prospective cohort study, observational, multicentre, single-arm, post-registration to assess the safety of the Adsorbed COVID-19 (Inactivated) Vaccine Sinovac / Institute Butantan.
Chronic obstructive pulmonary disease (COPD) is a common disease that endangers people's health, causing severe economic and treatment burdens. Sleep breathing disease, as a complication of COPD, increases the hospitalization rate and mortality of COPD. At present, community doctors have insufficient knowledge of COPD and its complications, and they also lack standardized screening and related disease management capabilities. This trail intends to use IoT medical technology to screen for COPD combined with sleep breathing diseases. It can establish a two-way referral channel between primary community hospitals and higher-level hospitals, which provides early warning services for COPD combined with sleep breathing diseases. This trial explores the impact of sleep breathing disease on COPD's acute exacerbation, which improves the understanding of COPD patients combined with sleep breathing diseases. It also improves COPD management and its complications control at the community-level and reduces COPD patients' potential risks and treatment burdens. It also explores tiered diagnosis and treatment models for COPD, promotes the construction of intelligent IoT infrastructure, and enhances standardized diagnosis and treatment of COPD at the grassroots level in China.
The composition of the intestinal microbiota, the level of lipopolysaccharides, TMAO in the blood, and other parameters of patients with COPD (n=50), asthma (n=50) and the control (n=40) will be assessed as factors associated with exacerbations and respiratory symptoms in the prospective study (12 months).
AIM: To advance the development and accuracy of the Lifelight® app for the measurement of vital signs, therefore developing a non-invasive and easy-to-perform means of measuring vital signs which can be implemented across a wide range of settings, both within hospitals and out in the community. METHOD: Lifelight® is a computer program ("app") for measuring vital signs which can be used on smart devices that contain a camera. It is able to measure all of the vital signs by measuring very small changes in skin colour that occur each time the heart beats. This means that it does not need to touch the patient. The investigators believe this could be an effective way of measuring vital signs, especially during the COVID-19 pandemic when prevention of cross-contamination between patients is essential. Patients are also likely to be reassured by a contactless approach. The app uses data from looking at a person's face to calculate the vital signs. This is possible because there are tiny changes in facial skin that occur each time the heart beats. The investigators believe Lifelight® could be an effective way of measuring vital signs. The app is still under development, which means that it is still "learning" the best match between the information it collects from the face and the values of vital signs measured using the standard equipment. The app should become more accurate in calculating the vital signs as it sees more and more information from patients. So far, the app has seen data from inpatients, outpatients, patients attending GP surgeries and healthy people. This has improved its accuracy in measuring vital signs. However, the app needs to see more information so that it can be sufficiently accurate for specific clinical applications such as long-term monitoring of hypertension. To do this, it particularly needs to see information from people with abnormal blood pressures and blood oxygen levels. In order to capture the full range of observations, the app will need to be trialled with some of the most critically ill patients - some of these will not have capacity to consent to participation in the study. It also needs to see more data from people with different skin tones so the investigators can be sure it is accurate for all patients. To do this, the investigators will recruit people who are attending one of two hospitals, either as an inpatient, an outpatient, a friend/relative of a patient, or a member of hospital staff. The exact number will depend on how quickly the app "learns" and how many of the vital signs are outside of the normal range. The investigators will take the participant's vital signs using standard clinical equipment whilst recording a video of their face. The investigators will use most of these measurements and video to teach the app how to become more accurate at measuring vital signs. The investigators will keep the remaining data separate and use it to test how accurate the app is. All of the data will be kept securely. The investigators will also collect feedback from participants and healthcare staff on their experiences using the app and information that allows us to assess whether there are any savings to the healthcare economy through use of this technology.
An observational study to evaluate the accuracy of a digital cough monitoring tool to reflect the incidence of COVID-19 and other respiratory infections at the community level in the city of Pamplona, Spain.
Profile known and novel biomarkers in blood in COVID19 patients to characterize the host response to SARS-CoV-2 over time and in response to treatment. The investigators aim to: - Better understand the disease. The investigators will achieve this by characterizing the biology of COVID-19 infection and the pathophysiology of the host response using clinical data together with cellular and molecular measurements over the course of the disease. This will allow better insights for the discovery and development of novel therapeutics. - Understand why different patients have different phenotypes and disease presentations over time. The investigators will achieve this by analyzing for patient subgroups. This will allow targeted patient stratification and better matching of resources. - Understand how patients are responding to the different medications being tested in clinical trials. The investigators will achieve that by co-enrolling with therapeutic trials. This will allow an understanding of the biological effects of these interventions. Study Design: Observational adaptive study of a translational nature, combining clinical data and basic science investigations in blood samples in the same patients, longitudinally, with serial interim analyses. Primary outcomes: 90 day ICU mortality. Secondary outcomes: measures of ICU utilization and disease severity, and 90 day in-hospital mortality. The study ends after 3 months from admission to the ICU, hospital discharge or death. Location: St. Michael's Hospital (Unity Health Toronto), an academic center in downtown Toronto affiliated with the University of Toronto. The investigators will collect: A) Detailed clinical data including investigations, mechanical ventilation and cardiovascular parameters. B) Blood samples for state-of-the-art multi-omics biomarker discovery and development: cytokines, anti-COVID19 antibodies, autoimmune serology, metabolomics, transcriptomics, epigenomics, deep immune phenotyping, viral loads. For those patients who die with COVID19 The investigators will perform bedside post-mortem biopsies of lung, heart, kidney and muscle. Sampling times: From admission to the maximal severity phase through convalescence, in order to capture the evolution and dynamics of the disease and the recovery process: days 0,1, 3, 5, 7, 10, 15 and 22, and then every 2 weeks until the end of the study (3 months from admission to the ICU, hospital discharge or death).
Recently, interest in ways to monitor and care for patients remotely has significantly increased due to concerns for infection control as well as a way to increase access to regular clinic visits that may be limited for socioeconomic and geographic reasons. However, remote care can be limited by a lack of objective data to help guide clinical care. With respect to respiratory disease, caring for patients remotely may be enhanced by the ability of patients to monitor at home such things as vital signs, lung sounds, and lung function by spirometry. Enhanced methods to follow symptoms and track medication compliance may also be beneficial. These enhancements could improve care and quality of life both for persons with acute respiratory illnesses and those with chronic respiratory disease (such as asthma or COPD). The purpose of this study is to develop and study methods for patients to monitor their respiratory health at home and make that data available to medical providers to improve their care.
Drug-induced sleep endoscopy (DISE) is the most used technique for identifying the obstruction site associated with obstructive sleep apnea (OSA). This is due to the fact that it allows many patients to be examined in a daytime setting. This procedure uses sedative drugs to mimic natural sleep. However, associations with the site of upper airway (UA) collapse during natural sleep remain unclear. The aim of this explorative study is to identify UA collapse in patients with OSA using endoscopic techniques as well as flow shape characteristics and sound analyses during natural and drug-induced sleep. Furthermore, we want to optimize the measurement set-up of natural sleep endoscopy (NSE).