View clinical trials related to Critical Illness.
Filter by:The overarching goal of the proposed study is to determine the trajectories of physical recovery and cellular markers involved with the underlying failure to recover muscle after critical illness, while exploring which characteristics are associated with sustained physical disability. This proposal will examine muscle pathophysiology carefully aligned with physical function outcomes in order to longitudinally assess the recovery, or failed recovery, of muscle function in participants after critical illness: 1. to examine the recovery of muscle and physical function in ICU survivors through longitudinal assessments 2. to investigate the underlying cellular markers and mechanisms of muscle recovery in ICU survivors 3. to determine which cellular markers contribute to physical disability in ICU survivors up to 1 year after hospital admission
Critically ill patients often suffer from dramatic muscle loss while in the ICU. Recovery of muscle structure and function have been proposed as core outcome measures for interventional studies in ICU survivors. Ultrasound is an accessible and validated tool to monitor muscle mass over time, with quadriceps muscle layer thickness (MLT) corresponding well to more invasive or cumbersome modalities. In order to design adequately powered studies investigating the effects of nutritional or metabolic interventions on post-ICU recovery, an estimate of the population standard deviation in MLT change over time is required. Currently there is a paucity of data describing changes in muscle mass during the subsequent period of hospitalization in ICU survivors. The aim of this study is to estimate the mean change and standard deviation in quadriceps MLT over time, in patients discharged alive from intensive care. Patients will be followed until hospital discharge or up to 28 days after ICU discharge. Interactions with nutritional intake, inflammation and metabolic rate will be analyzed for hypothesis-generating purposes.
Certain diseases relating to the heart can only be definitively treated with surgery. When untreated, these can lead to heart failure with a lack of supply of oxygen-rich blood to the tissues, leading to damage to other organs. Adults who undergo heart surgery vary greatly in terms of age and relative health. This has significant implications when predicting outcomes in the aftermath of surgery. For example, a 90-year-old man with a variety of comorbidities such as diabetes and high cholesterol who requires a heart valve replacement may have an unfavourable chance of surviving the postoperative period when compared to an 18-year-old woman with no significant medical history undergoing the same procedure. Almost invariably, patients are admitted to an Intensive Care Unit (ICU) following heart surgery. This is done to facilitate close monitoring of the patients' vital organ functions and to also provide organ support if needed. For the heart, this can include the administration of drugs to help a heart pump forcibly, cause blood vessels to contract and increase blood pressure. Patients who have undergone heart surgery have been placed on a mechanical ventilator, following a tube placed in their windpipe. This form of ventilation often continues in ICU for a period of time, depending on the patient's condition. One specific type of ICU level monitoring that occurs in patients who have undergone heart surgery is cardiac output monitoring. This involves a thin tube, called a pulmonary artery catheter, that extends from the skin to the heart, via large blood vessels. Cardiac output monitoring is essential in this patient group to guide organ support and to provide information of how well the heart is functioning. In this observational study, the investigators wish to study patients who have undergone cardiac surgery, are receiving mechanical ventilation and have pulmonary artery catheters inserted. The investigators will collect cardiopulmonary data in these patients and compare these data with values of exhaled and inhaled gases (oxygen and carbon dioxide) over the same time period. This will enable the investigators to investigate the link between cardiopulmonary data and respired gas values. A better understanding of this link between cardiopulmonary function and oxygen/carbon dioxide values will then inform future studies aiming to determine the effect of various interventions in similar patient groups.
This is a case series study using gastric ultrasound in critically ill patients to quantify gastric residual volumes to compare the efficacy of different NPO protocols.
The adequate characterization of RV injury is currently unknown. The hypothesis is that the best characterization of RV injury is the one with the most significant impact on the response to fluids and on the outcome. An RV failure is expected to induce fluid-unresponsiveness and potentially worst outcome. The main objective is to characterize different types of RV injury in critically ill patients by examining their association, including predictive performances, in hemodynamics parameters, ventilation parameters, and clinical outcomes The study will be based on the realisation of an echocardiography within 48 hours following inclusion.
The dominating proportion of patients in the ICU are men. Studies indicate that men receive more mechanical ventilation, vasoactive drugs, renal replacement therapy, invasive monitoring and have longer length of stay in the ICU. These differences do not unambiguously translate into a survival benefit for men; if survival would be altered if women were admitted to ICU in the same extent is unknown. Factors affecting ICU admission include age, co-morbidities, physiological parameters (indicating severity of the acute illness) and, additionally, the number of available ICU beds. Factors that should not affect ICU admission include patient gender or ethnicity. This study aims at studying if bias against women and people of certain ethnicities exist. Do clinicians have differing thresholds for ICU admission due to non-medical reasons? The investigators propose testing this hypothesis using a blinded randomized factorial survey study.
A prospective observational study of critically ill patients over the age of 50, studying the occurrence of frailty as measured by a variety of frailty measures, processes of care and long term outcomes.
Aim: This study was conducted to determine the effect of case-based education on the development of clinical reasoning skills of nursing students in critical illnesses. Methods: The study was conducted between January 20 and June 30, 2021 using a pilot randomized controlled trial design. In the study, 22 volunteer students were assigned to the experimental and control groups by simple randomization. The experimental group was given case-based education to improve their clinical reasoning skills, and the control group continued the standard education process. Data were collected using a Student Information Form, the Clinical Reasoning Case Form (CRCF), the Student Satisfaction with Education Questionnaire, and a Form for Views on the Education. In the evaluation of data, frequency values, Fisher exact test, Mann-Whitney U, and Wilcoxon tests, Cohen's d coefficient for effect size, ITT analysis, and covariance analysis were used.
The investigators intend to assess the predictive value of early (first 48 hours) multimodal neuromonitoring parameters concerning late survival in critically ill intracerebral hemorrhage (ICH) patients.
Introduction: Venous thrombosis (VTE), including both deep vein thrombosis (DVT) and pulmonary embolism (PE) remains a frequent complication in patients admitted to the Intensive Care Unit (ICU). Multiple prediction models for estimating the risk of VTE have been developed. However, many models have not been externally validated. The aim of this study is to perform a comprehensive external validation of pre-existing prediction models for predicting the risk of in-hospital VTE in critically ill patients. In case current risk assessment models fail, the investigators aim to additionally develop and internally validate a new risk prediction model. Methods: During the first phase of the study the investigators will perform external validation of existing prediction models. The performance, discrimination, calibration and clinical usefulness of the models will be evaluated. In the second phase of the study, in case performance of current risk assessment models is deemed insufficient for clinical application, the investigators will develop a model for predicting the risk of in-hospital VTE in critically ill patients. A multivariable prediction model will be constructed using a combination of predefined candidate predictors. This model will be internally validated and performance will be compared with performance of existing VTE risk prediction models. Dissemination: This protocol will be published online. This study will be reported according to the Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) statement and this study will be submitted to a peer-reviewed journal for publication.