View clinical trials related to Critical Illness.
Filter by:The Analgesia Nociception Index (ANI) reflects the balance between sympathetic and parasympathetic tone. It is based on a specific interpretation of the R-R interval variation. During fluid removal by net ultrafiltration in patients with fluid overload and continuous renal replacement therapy, some data suggest that haemodynamic variation could be induced by the autonomic nervous system. The study aims to investigate ANI variations in this context and their association with the haemodynamic variations observed.
The aim of this study is to investigate attitudes on decisions to withdraw or withhold life-sustaining treatments in critically ill children in Swedish intensive care units. This is a survey among pediatric critical care physicians.
Rapid and accurate determination of body weight in adult intensive care patients is very important for both calculating target tidal volume during invasive mechanical ventilation support and dose dependent drug administration. In this patient group, measuring actual body weight with a calibrated scale by standing the patient up is often impossible due to acute illness. Instead, estimated body weight determined by health care personnel or estimated body weights calculated according to anthropometric measurements are used. These calculations have some limitations in showing actual body weight, and there is some controversial information in current literature regarding their validity in critically ill patients. There is newly developed patient transfer scale called Marsden M-999® manufactured by Marsden Weighing Machine Group Ltd, which has the advantage of being used in patients who are unable to stand up, in rapidly and accurately measuring the current body weight in critically ill patients. This study aimed to evaluate the validity of these methods by comparing the body weights calculated by visual estimation and various anthropometric methods in critically ill Turkish patients with the actual weight measured by the mentioned scale.
Admission to an Intensive Care Unit (ICU) is a potentially traumatic experience for a mentally vulnerable person. Beyond the stress and anxiety associated with the ICU environment and medical procedures, survivors of critical illness are at risk of developing cognitive and psychological sequelae related to Post-Intensive Care Syndrome (PICS). These disorders are associated with high economic, medical and personal costs. This trial aims to evaluate the efficacy of an innovative neuropsychological e-health intervention for early cognitive stimulation and psychological support of people in critical care, i.e. the Rehabilitation Gaming System for Intensive Care Units (RGS-ICU) intervention, in improving comfort during ICU admission and cognition and mental health three and 12 months after ICU discharge. The RGS-ICU intervention, applied as an adjunct to standard ICU care, is based on non-immersive virtual reality techniques and has been specifically designed and developed to suit the needs of people in critical care and the characteristics of the ICU environment. To ensure the safety of the intervention, participants' physiological parameters will be automatically recorded by advanced continuous monitoring systems as part of standard ICU care. The investigadors hypothesize that the cognitive stimulation and psychological support protocols of the RGS-ICU intervention, applied as an adjunct to standard ICU care, in addition to being safe for people in critical care units, will improve comfort during ICU admission and cognitive and mental health outcomes after ICU discharge, compared to receiving standard ICU care alone. The findings derived from this trial may contribute to establish a novel and superior paradigm of human-centered ICU care to improve the comfort of people admitted to the ICU. This achievement could also have a relevant impact on medical and economic costs during ICU admission, and on functionality and health-related quality of life after ICU discharge associated with the reduction of cognitive and psychological sequelae linked to PICS. The RGS-ICU intervention has been designed at Corporacion Parc Taulí with the collaboration of the University of the Balearic Islands and has been developed by Eodyne Systems S.L., a company dedicated to the development of science-based technological solutions for intervention, monitoring, diagnosis, and prognosis in stroke and other brain disorders.
The object of the scientific research is the characterization of the pharmacokinetic profile and the investigation of factors of pharmacokinetic variability of amikacin and vacnomycin in critically ill patients with a diagnosis of sepsis-like condition (SIRS), hospital-acquired sepsis and/or septic shock and who are on extracorporeal therapy with Cytosorb® and Oxiris® adsorbents.
Non-Invasive ventilation (NIV) is a life saving intervention for patients with acute respiratory failure (ARF). Some patients are not able to tolerate the NIV intervention and ultimately fail, requiring the use of invasive mechanical ventilation (IMV) and intubation. Sedation may improve a patient's NIV tolerance. However, this practice has not been adopted by intensivists as the risk of over-sedation resulting in respiratory depression, inability to protect the airway, and inadvertent need for intubation are all large deterrents of sedative use in NIV. The Non-invasive Ventilation and Dexmedetomidine in Critically Ill Adults: a Pragmatic Randomized Controlled Trial (inDEX) is looking to evaluate the effectiveness of dexmedetomidine compared to placebo in reducing non-invasive ventilation failures in patients admitted to the hospital with acute respiratory failure.
This study explores the significance of body temperature monitoring in hospitalized patients, particularly in critical care environments. With body temperature exhibiting considerable variability, fever, defined at a central temperature of 38.3°C, serves as a pertinent indicator across diverse medical conditions. Temperature measurement methods in Intensive Care Units (ICUs) range from routine peripheral measurements to more invasive central temperature monitoring. Critical patients with fever often receive antibiotic treatment, even without conclusive evidence of infection, as early intervention is linked to improved survival in septic patients. However, the complexity of individual variability, circadian rhythms, medication effects, and methodological limitations underscores the impracticality of defining fever with a singular temperature value. The thermal curve, representing the temporal evolution of temperature, emerges as a nuanced parameter in this context. This study seeks to establish the correlation between axillary temperature measurements, a conventional method, and temperatures recorded by thermal imaging cameras. Widely employed during the Covid-19 pandemic, these cameras offer non-invasive and contactless measurement, mitigating pathogen transmission risks, particularly in patients colonized by multidrug-resistant microorganisms or those with compromised skin integrity. The study also endeavors to evaluate the diagnostic validity of thermal imaging cameras for fever and hypothermia. The integration of thermal imaging cameras into a system capable of automated, real-time peripheral temperature acquisition suggests a potential paradigm shift in ICU temperature monitoring practices. Beyond immediate clinical applications, the amassed data from this system holds promise for training intelligent systems through machine learning algorithms. This strategic integration aims to predict critical events, such as the onset of fever, nosocomial infections, or shock, marking a forward-looking approach to patient management.
Hemodynamic management of critically ill patients has long been focused on the arterial side of the vasculature by assessing adequate perfusion pressure. However, the venous pressure is also of critical importance. Venous congestion can occur in patients with right ventricular failure, pulmonary hypertension or fluid overload. Fluid overload has harmful effects to end organs causing acute kidney injury (AKI), lung edema, multiorgan dysfunction and death. Vice versa, AKI can aggravate fluid retention and inflammation. The measurement of venous pressure usually relies on central venous pressure (CVP) and inferior vena cava diameter (IVC). However, CVP measurement has been associated with measurement errors and has low accuracy in predicting fluid responsiveness. Moreover, IVC collapsibility or distensibility is a static parameter and is associated with subjective variability. Multiorgan Point-of-Care ultrasound (POCUS) can enhance the management of AKI by enabling the evaluation of renal structural abnormalities and hemodynamic status . POCUS allows the clinician to assess intravascular and pulmonary fluid overload. It has been shown that POCUS is a good parameter to predict global fluid status of the patient . Venous Excess Ultrasound (VEXUS) consists of the evaluation of IVC, hepatic vein, portal vein and intrarenal vein flow pattern. Previous studies showed significant correlation between VExUS score with RRT-free days and guide fluid management in critically ill patients with AKI . VExUS is useful in predicting patients at risk to develop AKI post cardiac surgery . Adding modified lung ultrasound score to the VExUS protocol could help clinician to adjust fluid administration and achieve proper fluid balance during continuous kidney replacement therapy (CKRT). However, the role of using combined VExUS and lung ultrasound in the assessment and guidance of fluid management during CKRT is unknown.
This study aims to evaluate the efficiency of the urea/creatinine ratio as a catabolism marker compared to indirect calorimetry to optimize nutritional support in critically ill patients.
Acute kidney injury is a common complication in critically ill patients. This condition can significantly prolong the length of hospital stay, increase the cost of hospitalization, and have a high mortality rate and a poor prognosis. Early assessment of patients' prognosis with acute kidney injury is vital for clinical treatment. Point-of-care ultrasound and renal injury biomarkers can be used to evaluate kidney injury at different levels. Therefore, it is speculated that dynamic monitoring can accurately predict the prognosis of patients with kidney injury.