View clinical trials related to Respiratory Disease.
Filter by:To minimize the negative effects of exposure to silica, iron chips, and coke on the respiratory health of workers in the Ferro alloy factory, so it is important to assess and diagnose their health-related effects. Early reporting, diagnosis, and intervention can limit the severity of health hazards, improve health services. To our knowledge, no local previous studies were done in this area. All over the world there is no sufficient information relating to this industry and its health hazards.
This study proposes an approach to address an urgent unmet need in clinical practice, namely a pragmatic method of establishing what is the cause of a patient's complaint and the next steps to address this problem. In this study, the investigators will compare the proposed classification with current best practice of self-report, spirometry and FeNO. The investigators will compare the two approaches with a gold standard of deep characterisation by 3 separate diagnostic tests. The investigators hypothesize that patients with symptoms of respiratory disease fall into one of four working groups based on accurate knowledge of three parameters, airflow, treatment use and the patient's symptoms.
Rationale: COPD is increasing in prevalence among people living with HIV/AIDS (PLWHA) as widespread use of ART has increased longevity in this population. In rural Ugandan ART clinics, we report COPD prevalence of 6.22%. Currently, it's not fully known what drives chronic lung inflammation in PLWHA population despite being virologically suppressed on ART. There is need to explore factors driving chronic airway inflammation among PLWHA. Airway microbiome has been implicated in the pathogenesis of COPD. Preliminary analysis from our study revealed that, specific microbes were significantly enriched in PLWHA with COPD with more lung bacteria impacted by HIV than COPD. These findings suggest that HIV-associated changes in unique airway microbial genera may be driving COPD among PLWHA in our cohort. Currently, we don't know how such genera drive chronic airway inflammation. Study objectives: In this study, we will: (1) establish a relationship between airway microbiome and Th17/Treg cellular phenotypes among HIV-infected individuals with COPD; (2) investigate bacterial-mediated Th17 upregulation of pro-inflammatory and pro-fibrotic genes among HIV individuals with COPD and (3) explore the role of bacterial outer membrane vesicles (OMVs) in mediating microbiome driven Th17 immune responses among HIV individuals. Methods: We will conduct a 2-year case-controlled study, leveraging on the established lung microbiome cohort in rural Nakaseke district of Uganda. We will recruit 80 HIV-infected individuals ≥35 years attending the ART clinic at Nakaseke General Hospital screened for COPD as well as 80 HIV-negative controls ≥35 years attending the pulmonary clinic at Nakaseke General Hospital screened for COPD. In both cases and controls, we will consider 40 stable COPD participants and 40 participants with no COPD. Recruited participants will undergo sputum induction protocol at our newly established negative pressure sputum induction facility at Nakaseke General Hospital following established standard operating procedures. Using induced sputum samples, we will (i) perform 16S sequencing and metagenomics analysis to determine airway bacterial communities, (ii) RNA sequencing and analysis to determine gene expression profiles, mass flow cytometry and analysis to profile immune cells in induced sputum of study participants as well as (iv) ELISA tests to compare OMV levels between participants.
Aging of the population is dramatically increasing the number of hospitalized patients, with the consequent challenges of limited medical personnel and resources in hospitals. Wireless technologies that create highly connected healthcare environments are developed to help hospitals address these issues, once these technologies are perfectly integrated in the hospital environment with respect to IT infrastructure for big data storage. Such devices have proven remarkable efficiencies in monitoring patients with high patient safety, data accuracy and security, which are essential to provide high quality patient care, reduce health-related costs and optimize the management of high numbers of patients. Cough is the most common condition that results in a visit to the physician. Often coughs are benign, but sometimes can be the sign of exacerbations of a chronic respiratory disease. Exacerbations are defined in the Global Initiative for Chronic Obstructive Lung Disease (GOLD) document "as an acute event characterised by a worsening of the patient's respiratory symptoms that is beyond normal day-to-day variations and leads to a change in medication". It is assumed that, if coughs were remotely monitored, hospitals might be unburdened, patients would be empowered to self-manage their health, and that prevention of serious respiratory diseases might be facilitated, thus improving health outcomes. Unfortunately, remote monitoring for cough that rely on self-reporting is impractical, as patients do not record data very reliably. On the contrary, a microphone on the bedside table connected to a medical data analysis platform might monitor patients' cough exacerbations at night and alert the medical staff immediately.
The aim of this study is to explore the acceptability and feasibility of a novel medical device system for remote monitoring of breath and heart sounds (replicating remotely, and in an easy-to-use garment, that which a clinician would do with their stethoscope to listen to a patient's chest, by evaluating sounds captured through a wearable device (Senti)). As a first-in-man study, the investigators will investigate the safety of the Senti device, the usability and acceptability of the device; and ensure technical and practical feasibility of the device in a real-world clinical setting. 10 patients will be recruited (the study participants) in two tranches (6 and 4) who are being discharged from A&E into the care of the community respiratory team. These patients will wear the Senti device. The first tranche will use the device over a single session lasting 20 minutes only. The second tranche (which will include patients from tranche one, and which will only proceed if no adverse events are detected in tranche one), participants will wear the device at their discretion (particularly encouraged to wear overnight) over the course of 5 days. The investigators will survey the study participants to answer three key questions: 1. What is the feasibility of the Senti data-capture device? 2. Is this device usable in clinical practice? 3. What are the requirements to train patients to use the device? The investigators will also consider: 4. Does the device function technically and practically, in real-world clinical scenarios? 5. What are the key expected and unexpected safety issues related to using the device (with a particular emphasis on whether the device is likely to cause pressure sores). These questions will establish the feasibility of using the Senti data capture device as part of a novel medical device system for the autonomous evaluation and monitoring of bioacoustic signals.
Contactless and widely available health monitoring technologies are of growing interest in the context of the worldwide COVID-19 pandemic. Remote photoplethysmography (rPPG) is a well-studied technology that interprets variations in skin colour related to blood flow which, when analysed with complex mathematical algorithm, generates vital sign readings. This technology has been refined and embedded in a smartphone app designed to acquire heart rate, respiratory rate and oxygen saturation using a front-facing smartphone camera. Preliminary data comparing the accuracy of smartphone rPPG readings with conventional vital sign monitor readings are promising; however, less than 5% of the population studied in the app development phase had oxygen saturation levels below 95% making it impossible to ensure reliability in these populations. The goal of this study is to compare readings acquired using this rPPG app with the readings from hospital grade, Health Canada approved vital signs monitors used in healthcare settings with a focus on subject with low oxygen saturations. We will also study other sociodemographic and clinical features that may influence the accuracy of the readings. This will be achieved by recruiting consenting adults presenting to care in acute care settings and a designated COVID outpatient clinic. Vital signs will be acquired using the rPPG app and conventional hospital vital sign monitors simultaneously. Readings will be repeated within 2-5 minutes when time permits. Statistical analysis will be performed to analyze the findings and determine the accuracy and precision of the rPPG app readings. It is expected that the vital sign readings acquired with the rPPG app will be almost identical to those acquired using hospital-grade monitors for all subjects regardless of age, gender, skin colour, COVID status and relevant comorbidities.
A randomized controlled clinical trial will be carried out using inspiratory and expiratory training devices on healthy subjects recruited in social networks and university environments. The aim will be to determine the effectiveness and safety in the prevention and severity of COVID-19 disease by a respiratory training with inspiratory and expiratory devices.
A randomized, open-label, single-dose, 3-period, 6-sequence, 3-way crossover study
Aging of the population is dramatically increasing the number of hospitalized patients, with the consequent challenges of limited medical personnel and resources in hospitals. Wireless technologies that create highly connected healthcare environments are developed to help hospitals address these issues, once these technologies are perfectly integrated in the hospital environment with respect to IT infrastructure for big data storage. Such devices have proven remarkable efficiencies in monitoring patients with high patient safety, data accuracy and security, which are essential to provide high quality patient care, reduce health-related costs and optimize the management of high numbers of patients. Cough is the most common condition that results in a visit to the physician. Often coughs are benign, but sometimes can be the sign of exacerbations of a chronic respiratory disease. Exacerbations are defined in the Global Initiative for Chronic Obstructive Lung Disease (GOLD) document "as an acute event characterised by a worsening of the patient's respiratory symptoms that is beyond normal day-to-day variations and leads to a change in medication". It is assumed that, if coughs were remotely monitored, hospitals might be unburdened, patients would be empowered to self-manage their health, and that prevention of serious respiratory diseases might be facilitated, thus improving health outcomes. Unfortunately, remote monitoring for cough that rely on self-reporting is impractical, as patients do not record data very reliably. On the contrary, a bed sensor under the mattress connected to a medical data analysis platform might monitor patients' micro-movements at night and alert the medical staff as soon as there is a cough exacerbation.
Health2016 is a general population cross-sectional study aimed at completing af monitoring program for monitoring chronic disease and risk factors in the period 2006 to 2016. Similar studies have been performed in 2006, 2010, and 2013.