Active clinical trials for "Sepsis"

The objective of this study is to evaluate the consumption of antimicrobial therapy in patients comparing a rapid molecular test (PCR in Real-Time Multiplex) with blood cultures to identify the etiological agents of sepsis.

The objective of this pilot study is to estimate a procedure where the biological samples routinely obtained at the site of suspected infection could be guided by the early realization of a TEP with FDG coupled to scanner X, in patients hospitalized in ICU for severe sepsis of unspecified etiology.

Oral lactoferrin versus Placebo will be given to preterm neonates

To evaluate two different strategy of fluid resuscitation in sepsis patients

In this prospective study, the ability of a machine learning algorithm to predict sepsis and influence clinical outcomes, will be investigated at Cabell Huntington Hospital (CHH).

A sepsis early warning predictive algorithm, InSight, has been developed and validated on a large, diverse patient cohort. In this prospective study, the ability of InSight to predict severe sepsis patients is investigated. Specifically, InSight is compared with a well established severe sepsis detector in the UCSF electronic health record (EHR).

Severe sepsis and septic shock are among the leading causes of morbidity and mortality in patients admitted in the ICU, being responsible for approximately 200000 deaths/year in the USA and 150000 in Europe. Recognizing the early signs of sepsis and the different stages of this condition may lower the associated morbidity and mortality. The hemodynamic profile of the septic shock is characterized by the presence of the distributive shock, on which we can add elements from the hypovolemic and cardiogenic shocks. The objecive of this study is to optimize the volemic resuscitation of the severe septic and of the septic shock patient using two minimally invasive methods of hemdynamic monitoring which both use the same device (Edwards Lifescience). In the same time hemodinamic data will be colected by mesuring the inferior vena cava diameter.

Using sodium lactate Ringer's injection resuscitate septic shock patients and Compared with other solution, in order to make clear whether can improve the prognosis.

Diaphragmatic dysfunction is associated with sepsis severity and pejorative prognosis. Aim of this study is to assess diaphragmatic function with the Diaphragmatic Thickening Fraction (DTF) ultrasound measure in patients with severe sepsis or septic shock, mechanically ventilated or not, hospitalized in ICU in order to determinate diaphragmatic dysfunction frequency, its prognosis value and its associated factors. This is a prospective pilot study in a 14-bed medical and surgical ICU including 50 consecutive patients with severe sepsis or septic shock. The expected duration of study is 18 months. DTF is measured each day as follow: the probe is placed in an intercostal space between mid axillary line and anterior axillary line, 0.5cm to 2 centimeters below the costodiaphragmatic sinus. DTF measure is performed in B-mode using the following formula: TF (%) = [(end-inspiration thickness - end-expiration thickness)/(end-expiration thickness) x 100]. A DTF < 20% indicates a diaphragmatic dysfunction. The investigators will collect potential factors for which DTF Ultrasound Measure could have a prognosis value (intubation, successful or failed weaning from mechanical ventilation), potential risk factors (age, sex, tobacco, alcohol etc.) and potentials associated factors. The investigators expect measure of DTF allows identifying patient with severe sepsis or septic shock with diaphragmatic dysfunction. It would also estimate diaphragmatic dysfunction frequency with ultrasound measure and warranting its use routinely at the bedside. The investigators expect that DTF helps to characterize degree of severity of septic patient and can be a new index able to predict intubation in this population.

Aim of the study is to verify whether Polymyxin-B hemoperfusion protects from renal dysfunction in patients with severe sepsis from gram negative infection.