View clinical trials related to Circulatory Shock.
Filter by:In-hospital mortality of patients admitted in the intensive care unit (ICU) for circulatory shock remains high (between 20 and 40%). Currently, there are no markers that allow us to classify patients with circulatory shock at higher risk of early and late bad outcomes, or who may better respond to a specific intervention. To understand the contribution of biological heterogeneity to circulatory shock independently from its etiology, the ShockCO-OP Research Program aims to use clustering approaches to re-analyze existing clinical and molecular data from several large European and North American prospective cohorts and clinical trials. This will enable an improvement in risk prediction and a better patient selection in future clinical trials to assess a personalized therapy (i.e., prospective enrollment based on a biological/molecular signature).
Current guidelines recommend the inititaion of noradrenaline and if shock is refractory, then vasopressin should be administered. Data indicate that the earlier use of vasopressin may improve survival. Two large randomized controlled trial failed to prove a survival benefit from the early use of vasopressin. The present study will investigate the effect of an early initiation protocol of vasopressin (as the first vasoconstrictor drug) on the degree of multiorgan failure improvement and also on the course of sepsis (if in septic patients) versus early initiation of noradrenaline as first vasoconstrictor drug in hemodynamically unstable patients.
This is an open-label, single center, trial that will enroll up to 25 participants with circulatory shock after cardiac surgery. Participants will be administered a topical sublingual nitroglycerin solution and assessed for changes microcirculatory blood flow using incident dark field microscopy.
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.
The purpose of the present study is to evaluate the effect of vasopressin compared to norepinephrine on the clinical complications of patients with vasospastic shock after noncardiac surgeries.