View clinical trials related to Critically Ill Patients.
Filter by:It is well recognized the association between fluid volume administered and positive fluid balance with adverse outcomes . Active fluid removal is widely practiced in an attempt to mitigate this potential damage. However, it is not clear which is the best approach for the post-resuscitation phase in critically ill patients. In this context, Point-of-Care ultrasound (POCUS) through Venous Excess Ultrasound (VExUS) would allow the assessment of the degree of venous congestion, through the visualization of vascular anatomy and blood velocity using Doppler, being potentially useful to guide fluid removal. The investigators will evaluate whether fluid management after the initial phase of VExUS-guided resuscitation is able to improve outcomes compared to usual therapy in patients with septic shock. This is a single center, prospective, open and randomized clinical study in which patients admitted to intensive care will be included after the first 24 hours of resuscitation. A total of 200 patients will be randomized either to volume management guided by VExUS or to the standard therapy arm as per usual practice.
Extracorporeal blood purification is a supportive therapy in the management of patients with sepsis or vasoplegic shock. The pathophysiology of sepsis is based on an inappropriate host response to infection. Certain medical devices with higher adsorption capacity make it possible to limit this inappropriate response and could thus improve the hemodynamics of patients in septic or vasoplegic shock. The preliminary experience of the investigators from clinical data of vasopressor withdrawal in pediatric patients treated with oXiris shows a 50% reduction in the vasopressor score, Vaso Inotropic Score (VIS), for 40% of patients within 24 hours following the start of treatment. Similar results were found in adult patients treated for severe COVID-19 or vasoplegic shock by the other centers participating in the study. Cytokine purification is an important physiological effect of purification membranes. However, this may not fully explain the rapid hemodynamic improvement of patients treated with an oXiris membrane. The role of angiotensin metabolites (Ang 1-5, 1-7, 1-9) in the systemic vascular tone of patients has been recently discussed. The administration of angiotensin 2 in vasoplegic shock in adults helps correct hypotension. In the group of patients with increased renin, this treatment was associated with a reduction in mortality. Indeed, increased renin associated with dysfunction of Angiotensin Converting Enzyme (ACE) leads to an accumulation of Angiotensin 1 which degrades to Ang 1-7. The hypothesis f the investigators is that the concentration of Ang 1 and Ang 1-7 is elevated in cases of vasoplegic shock and that the clearance of these vasodilator peptides by blood purification is associated with clinical improvement.
In the previous investigation, investigators found that when the risk factors of stress injury in critical patients changed, clinical nurses lacked the awareness of evaluating the risk of stress injury, and lacked the risk assessment of this link. The stress risk prediction model is based on etiology. By analyzing the risk factors, the machine learning algorithm is used to evaluate the risk of pressure damage, and the prediction model of pressure damage can dynamically and comprehensively evaluate its risk. It is also a risk assessment tool. At present, there is no research on applying the stress injury risk prediction model of critical patients to the intensive care information software in China. In this study, the artificial intelligence algorithm library will be used to construct and apply the stress injury risk prediction model for critical patients.
Ventilator-induced lung injury is associated with increased morbidity and mortality. Despite intense efforts in basic and clinical research, an individualized ventilation strategy for critically ill patients remains a major challenge. However, an individualized mechanical ventilation approach remains a challenging task: A multitude of factors, e.g., lab values, vitals, comorbidities, disease progression, and other clinical data must be taken into consideration when choosing a patient's specific optimal ventilation regime. The aim of this work was to evaluate the machine learning ventilator decision system, which is able to suggest a dynamically optimized mechanical ventilation regime for critically-ill patients. Compare with standard controlled ventilation, to test whether the clinical application of the machine learning ventilator decision system reduces mechanical ventilation time and mortality.
Immature Platelet Fraction (IPF) is a new value in CBC blood tests Recent Studies showed that this value may be another prognostic factor in critically ill patients such as those admitted to ICU, or those with neutropenic Fever. The purpose of the study is to check if the IPF may be used as a prognostic Factor in these patients