View clinical trials related to ARDS.
Filter by:This study is a single-center retrospective study. According to the Berlin diagnostic standard, ARDS patients admitted to the Department of severe Medicine, Golmud People's Hospital from January 2015 to june 2022 were divided into three groups: mild (142mmHg < PaO2/ FiO2 ≤ 213 mmHg), moderate (71mmHg < PaO2/ FiO2 ≤ 142mmHg) and severe (PaO2/ FiO2 ≤ 71 mmHg). The ICU mortality, 28-day mortality, non-ventilator time in ICU, ICU hospitalization time observed respectively.
Artificial Intelligence in categorizing the severity of Oxygen in ventilated patients to predict initiation of treatment measures to improve mortality - P/FP ratio
COVID-PRONE is a multicenter, pragmatic, unblinded, 2-arm, parallel, randomized controlled trial seeking to compare the pre-emptive prone positioning (i.e. encouraging patients to adopt a prone position before they require mechanical ventilation) to the control arm of standard care alone. Randomization will be stratified by site.
This study is a Phase 1 / 2 trial to determine the safety and efficacy of CYNK-001, an immunotherapy containing Natural Killer (NK) cells derived from human placental CD34+ cells and culture-expanded, in patients with moderate COVID-19 disease.
The Risk stratification in COVID-19 patients in the ICU (RISC-19-ICU) registry was founded during the emerging SARS-CoV-2 pandemic. COVID-19 is a novel disease caused by infection with the SARS-CoV-2 virus that was first described in December 2019. The disease has spread exponentially in many countries and has reached global pandemic status within three months. According to first experience, hospitalization was required in approximately 20 % of cases and severe, life-threatening illness resulted in approximately 10 %. In some countries, health care systems were overwhelmed by the rapid increase in critically ill patients that far exceeded their capacity. It is thus of utmost importance to gain knowledge about the characteristics and course of critically ill patients with COVID-19 and to stratify these patients according to their risk for further deterioration. A key part of fighting this pandemic is to exchange scientific information and advance our understanding of the disease. The Risk stratification in COVID-19 patients in the ICU (RISC-19-ICU) registry aims to collect an anonymized dataset to characterize patients that develop life-threatening critical illness due to COVID-19 and make it accessible to collaborative analysis. The data collected may be composed of a core dataset and/or an extended dataset. The core dataset consists of a basic set of parameters, of which many are commonly generated during treatment of critically ill patients with COVID-19 in an intensive care unit (the individual parameters are marked yellow in the attached case report forms, and are clearly marked on the electronic case report forms during data entry). The extended dataset consists of parameters that may be measured during treatment of critically ill patients with COVID-19 in an intensive care unit, depending on clinical practice, indication and availability of the measurement method. The data accumulating in the registry as the pandemic or subsequent waves develop are made available to the collaborators to support an optimal response to the pandemic threat. The information gained on the initial characteristics and disease course via the RISC-19-ICU registry may contribute to a better understanding of the risk factors for developing critical illness due to COVID-19 and for an unfavorable disease course, and thus support informed patient triage and management decisions. Initial research questions are (I) to perform risk stratification of critically ill patients with COVID-19 to find predictors associated with the development of critical illness due to COVID-19: characterization of the study population, which are critically ill patients with COVID-19: inflammation, oxygenation, circulatory function, among other parameters collected in the registry, and (II) to perform risk stratification of critically ill patients with COVID-19 to predict outcome after ICU admission (ICU mortality, ICU length of stay): characterization of patients grouped by disease course in the ICU, based on inflammation, oxygenation, circulatory function, and other parameters collected in the registry.
Spontaneous breathing during mechanical ventilation has been recommended in patients with ARDS and is currently used. in part because oxygenation is better and there is a lower risk of diaphragm dysfunction due to disuse. The other approach to minimizing lung injury from spontaneous effort is the use of neuromuscular blockade; an early and short term (48 hours) of neuromuscular blockade in patients with severe ARDS has been shown to decrease inflammation and to improve survival. The investigators propose a pilot study to test the feasibility and the physiological effects of allowing spontaneous breathing in the prone position in patients with ARDS.
The Acute Respiratory Distress Syndrome (ARDS) impacts one of every four patients requiring mechanical ventilation for respiratory support and carries a mortality rate of 40%. To diagnose ARDS, doctors currently use the Berlin definition, that requires chest radiographs and analysis of oxygenation in the blood (arterial blood gas). These tests are not available in areas of the world with constrained resources and may be unnecessarily invasive. A modification of the Berlin definition, using ultrasound and pulse oximetry (a small device that measures oxygen level non-invasively by clipping to the body, typically a finger), has been recently developed and tested in Kigali, Rwanda. This study will try to confirm the validity of the Kigali modification initially in Boston and Toronto and subsequently in other hospitals worldwide. If confirmed, this new definition could allow for faster recognition and potentially improved treatment of patients with ARDS and facilitate studies worldwide. The purposes of this study are: 1. To describe clinical characteristics and outcomes of patients diagnosed with ARDS according to the Berlin and Kigali definitions; 2. To determine how well chest radiograph and ultrasound of the chest are able to define ARDS, in comparison to chest computer tomography (CT).
High frequency percussive ventilation (HFPV) is a high frequency ventilation mode in which high frequency pulses accumulate to generate a low frequency tidal volume at a controlled airway pressure. Previous studies have suggested a protective effect of HFPV on lung injury. The goal of our study is to compare, in early ARDS patients, the effects of conventional mechanical ventilation and of high frequency percussive ventilation on alveolar recruitment and distension evaluated by CT-scan