View clinical trials related to Respiratory Insufficiency.
Filter by:Brief Research Proposal: Non-Invasive Detection of Invasive Pulmonary Aspergillosis in ICU Patients Background: Invasive Pulmonary Aspergillosis (IPA) is a critical threat to patients in ICUs, especially those undergoing mechanical ventilation. Traditional diagnostic methods are invasive and carry risks. This study proposes a non-invasive, innovative approach utilizing galactomannan (GM) analysis in Exhaled Breath Condensate (EBC) for early IPA detection. Objective: To evaluate the diagnostic accuracy of measuring GM levels in EBC for detecting IPA in mechanically ventilated patients, comparing it against the conventional Bronchoalveolar Lavage Fluid (BALF)-GM measurements. Methods: A clinical trial will be conducted with 75 mechanically ventilated patients suspected of having IPA. The study will compare the effectiveness of EBC-GM levels against BALF-GM levels in diagnosing IPA, focusing on sensitivity, specificity, and diagnostic accuracy. The novel, self-designed EBC collection device will facilitate the safe and efficient collection of EBC from patients. Expected Outcomes: Validation of EBC-GM Diagnostic Accuracy: Anticipate demonstrating that EBC-GM levels provide a comparable diagnostic accuracy to BALF-GM, establishing a non-invasive, safer alternative for IPA detection. Implementation of a Non-Invasive Diagnostic Tool: The study aims to introduce a non-invasive diagnostic approach that can potentially replace more risky, invasive methods, improving patient care in ICUs. Contribution to Clinical Practice: By providing a new method for early and safer detection of IPA, the study is expected to influence clinical guidelines and practices in the management of critically ill, ventilated patients. Significance: This research has the potential to revolutionize the diagnosis of fungal infections in critically ill patients by offering a non-invasive, accurate, and safer diagnostic tool, thereby improving patient outcomes and reducing the risks associated with invasive diagnostic procedures.
Readmission to the intensive care unit (ICU) results in increased consumption of medical resources and costs, and has been proposed as a marker for quality of care. ICU readmission rates have been estimated at 4 to 14% and different risk factors have been proposed by various studies Readmitted patients mostly carry poor prognosis compared to newly admitted ones, in addition to the bad psychological impact for both patient and his family
The additional time required to awaken a patient is one of the main reasons for not extubating him or her in the operating room (OR). Conversely, transferring an intubated patient to recovery room (RR), prolonging the duration of anesthesia and intubation, in a limited environment in human resources, may lead to increased complications' rates. Little is known about those time lengths and complications rates.
Aim: To describe the duration of desaturation and bradypnea in postoperative opioid-naïve and chronic opioid patients. Patients: 691 patients included from two previous WARD (Wireless Assessment of Respiratory and circulatory Distress) projects. Outcome: Respiratory deviations four hours after opioid administration
Data comparing respiratory drive and effort in critically ill patients with acute respiratory distress syndrome associated to different severity of COVID-19 penumonia (CARDS) and to other risk factors are lacking. Objectives: To assess respiratory drive and effort of CARDS patients at the first transition from controlled to assisted spontaneous breathing. The second aim was the rate of a composite outcome including the need of higher level of sedation
At the beginning of 2020, a global alert emerged which saturated intensive care units due to COVID-19 worldwide. This caused a need for mechanical ventilation due to atypical pneumonias that had a rapid evolution and respiratory failure; therefore the consumption of sedative agents in the intensive care units escalated. Suboptimal sedation in the intensive care unit, increases the adverse effects, costs, and morbidity. For the time being, they focus on the use of intravenous agents such as propofol or dexmedetomidine, which are associated with tolerance, withdrawal, delirium, and hemodynamic effects. Consequently, the need arises to maximize availability and effectiveness, which is why the intervention of the ANACONDA conservation device is carried out, which works with a heat and humidity exchange filter capable of administering isoflurane or sevoflurane with an efficiency of 90%.
The importance of cardiorespiratory impact in mental diseases is generally emphasized in studies, but it is noteworthy that cardiorespiratory affects in mood disorders have not been sufficiently investigated. This study aims to compare individuals with mood disorders and healthy people in terms of exercise capacity, functionality, respiratory muscle strength, respiratory functions, dyspnea and physical activity level.
Acute Respiratory Distress Syndrome (ARDS), marked by acute hypoxemia and bilateral pulmonary infiltrates, has undergone multiple definitions over the years. Challenges persist regarding the ARDS definitions, leading to various revisions. Through the Delphi study, the investigators aims to gather global opinions on the conceptual framework of ARDS, assess the utility of current and past definitions, and explore the role of subphenotyping. The diverse panel's collective expertise will contribute valuable insights for refining future ARDS definitions and enhancing clinical management.
Artificial intelligence (AI) shows promising in identifying abnormalities in clinical images. However, systematically biased AI models, where a model makes inaccurate predictions for entire subpopulations, can lead to errors and potential harms. When shown incorrect predictions from an AI model, clinician diagnostic accuracy can be harmed. This study aims to study the effectiveness of providing clinicians with image-based AI model explanations when provided AI model predictions to help clinicians better understand the logic of an AI model's prediction. It will evaluate whether providing clinicians with AI model explanations can improve diagnostic accuracy and help clinicians catch when models are making incorrect decisions. As a test case, the study will focus on the diagnosis of acute respiratory failure because determining the underlying causes of acute respiratory failure is critically important for guiding treatment decisions but can be clinically challenging. To determine if providing AI explanations can improve clinician diagnostic accuracy and alleviate the potential impact of showing clinicians a systematically biased AI model, a randomized clinical vignette survey study will be conducted. During the survey, study participants will be shown clinical vignettes of patients hospitalized with acute respiratory failure, including the patient's presenting symptoms, physical exam, laboratory results, and chest X-ray. Study participants will then be asked to assess the likelihood that heart failure, pneumonia and/or Chronic Obstructive Pulmonary Disease (COPD) is the underlying diagnosis. During specific vignettes in the survey, participants will also be shown standard or systematically biased AI models that provide an estimate the likelihood that heart failure, pneumonia and/or COPD is the underlying diagnosis. Clinicians will be randomized see AI predictions alone or AI predictions with explanations when shown AI models. This survey design will allow for testing the hypothesis that systematically biased models would harm clinician diagnostic accuracy, but commonly used image-based explanations would help clinicians partially recover their performance.
This is a confirmatory study without any intervention. It is an uncontrolled, non-randomized and open-label study with measurements made with comparators, and it has a preset hypothesis for the primary endpoint. There are no similar devices to VitalThings Guardian M10 / M10 mobile on the market, consequently one or more different types of devices must be used as comparators.