Active clinical trials for "Critical Illness"

The goal of this prospective observational study is to evaluate the incidence, risk factors, and outcomes for development of acute kidney injury (AKI) in intensive care pateints. The main questions it aims to answer are: What is the incidence of acute kidney injury in intensive care patients? What are risk factors for development of acute kidney injury? All adult patients admitted to the ICU with a stay of 48 h or more will be included in the study.

Sleep of critically ill patients is highly disturbed with a high sleep fragmentation; patients spend most of their sleep in very short sleep episodes, lasting less than 10 minutes. Causes of theses sleep alterations are complex including environmental noise (alarms, beepers, conversations…), continuous light, nurse care and repetitive measures of vital parameters. Numerous studies have reported a relationship between severe sleep alterations and a prolonged weaning period and mortality. Improving sleep quality in critically ill patients is a major challenge to promote ICU patient's recovery. A very promising treatment is the application of a nocturnal " quiet-time " during which non urgent care, comfort care, systematic measures of vital parameters are delayed and clustered in order to limit room entries. However, " quiet time " procedures have failed to improve sleep quality to date. A miniaturized medical device recording one EEG channel and embedding an automated sleep scoring algorithm running in real-time was devised. This device (positioned on forehead, and continuously recording noise and light levels) indicates if the patient is awake or asleep using a tablet positioned at doorstep of the room, so that nurses know if patient is sleeping, without entering the room. Hypothesis proposes that applying sleep protection procedures (clustering cares, limiting room entries, reducing lights and noise, delaying non urgent care…) when patients are sleeping (= EEG-guided strategies) will increase patients sleep quality. This study will assess the effect of such device on sleep quality in ICU patients. This is a "before / after" design. The first group ("control group"), will be recorded but the sleep scoring will not be displayed by the tablet and patient will be expose to standard care. Then, procedure will be established collegially with nurses, nurses assistants and doctors. Then, the second group ("treated group") will be recorded with the device displaying the status of the patient (asleep/awake) and all caregivers will be asked to follow the established rules ("EEG-guided sleep protection rules")

The purpose of this study is to investigate the feasibility of using electric impedance tomography (EIT) to monitor lung perfusion during veno-venous (VV) extracopreal membrane oxygenation (ECMO) support, as well as the effect of different ECMO flows on lung perfusion monitored by EIT.

Phase I dose-escalation safety and feasibility of IV DNase I in ICU septic patients.

More than 60% of intensive care unit (ICU) patients are adults ages 60 and older, who are at high risk for ICU-acquired cognitive impairment. After ICU discharge, ICU survivors often experience sleep disturbances and inactivity, and almost 80% of ICU patients experience disturbances in circadian rhythm, which may affect cognitive function. Understanding the optimal, chronotherapeutic timing of cognitive interventions is crucial to promote circadian realignment and cognitive function, and may improve intervention feasibility, acceptability, and efficacy. Specific Aim 1 will determine feasibility, acceptability, and preliminary effect sizes for: 1) a morning session of a computerized cognitive training intervention [COG]; and 2) a late afternoon/early evening session of the COG intervention; compared to 3) standard inpatient care/usual care [UC]. Specific Aim 2 will examine circadian rhythm parameters to determine the optimal timing of the daily COG intervention. Exploratory Aim 3 will explore if the effects of the COG intervention on cognitive function are mediated by daytime activity, and explore if selected biological and clinical factors moderate intervention effects on cognitive function.

Older ICU survivors with ICU acquired weakness (ICUAW) are malnourished, sarcopenic, and functionally debilitated as a consequence of the high burden of comorbidities common in the elderly. To address the sequalae of critical illnesses, the investigators will perform a trial incorporating an intervention that combines mobility-based physical rehabilitation (MRP), high protein supplementation (HPRO), and neuromuscular electric stimulation (NMES). The investigators will then assess both clinical and functional outcomes and determine the relationship of disability with systemic inflammation.

In mechanically ventilated patients in intensive care unit, anemia is commonly seen and it is probably associated with adverse outcomes including mortality. We aim to investigate the impact of duration of anemia and the duration of mechanical ventilation as well as clinical outcomes in critically ill patients in intensive care unit who required ventilatory support >96 hr.

A small proportion of intensive care unit patients receiving antifungals have a proven invasive fungal infection. However, antifungal treatment has side effects such as toxicity, emergence of resistance, and high cost. Moreover, empirical antifungal treatment is still a matter for debate in these patients. Our study aimed to determine the incidence, associated factors, and safety of de-escalation of antifungals in immunocompromised critically ill patients. This prospective observational study is conducted in 14 ICU, during a 6 months period. All immunocompromised patients hospitalized for >5d and treated with antifungals for suspected or proven invasive candida infection will be included De-escalation is defined as a reduction in antifungal spectrum or stopping initial drugs within the 5 days following their initiation. The three antifungals considered in this study are from the narrowest to the widest spectrum: fluconazole, caspofungin and liposomal amphotericin B.

Objectives: To study the composition of the microbiota in critically ill children, and to know the relationship of its microbiota with clinical complications and inflammation biomarkers. Design: Multicenter observational and prospective study including 100 critically ill children admitted in three pediatric intensive care units with a prediction of more than 5 days of stay and 50 healthy children. Clinical parameters and rectal, fecal, blood and respiratory samples will be collected at admission and at pediatric intensive care units discharge. The microbiota and inflammation biomarkers and metabolomic will be analyzed. Analysis of results: Description an evolution of the microbiota throughout the time, intestinal and respiratory, and the influence of clinical and therapeutic factors will be analyzed. The composition of microbiota will be compared with a cohort of healthy children and between the different types of pediatric intensive care units. The correlation of the microbiota with the markers of inflammation, metabolomics and the development of infectious complications and multiorgan failure will be analyzed.

Many studies have pointed out that patients with vitamin D deficiency have a longer stay in the intensive care unit and a poor prognosis. The investigators' previous multi-center prospective observational study in Taiwan reveals that the prevalence of vitamin D deficiency in critically ill patients in northern Taiwan is 59%, and the prevalence of severe vitamin D deficiency is 18%. The investigators used the data of that observational study to train a predictive model for predicting vitamin D deficiency. In addition, the association between vitamin D and the immune regulation of critically ill patients in Taiwan has not been investigated. This study aims primarily to validate the performance of the prediction model of vitamin D deficiency. Moreover, this study will investigate the association between vitamin D level and inflammatory cytokine levels. This multi-center prospective observational study will enroll critically ill patients admitted to intensive care units (ICUs) less than 28 days. After inform consent, blood will be drawn for examination of vitamin D, interleukin 6, and interleukin 10 levels. The main diagnosis of ICU admission, past medical history, vital signs within 24 hours of admission, disease severity, and laboratory data will be recorded. The predictive model will use the required parameters to predict the patient's risk of vitamin D deficiency and vitamin D severe deficiency.