View clinical trials related to Critical Illness.
Filter by:The overall objective of this proposal is to quantify the bias in pulse oximeter reported oxygen saturation (SpO2) by evaluating its measures compared to the gold standard blood gas measured arterial oxygen saturation (SaO2) across race and skin pigmentation. The main question that the investigators intend to answer is whether 1. There is greater pulse oximeter bias and subclinical hypoxemia in (1a) Black compared to White infants, and (1b) dark versus light-pigmented infants 2. This bias increases with gestational and postnatal maturation 3. This bias is associated with adverse patient outcomes
The goal of this clinical trial is to compare the effect of use of reversal agents for neuromuscular blockade in critically ill patients on time for neurological assessment after endotracheal intubation The main questions it aims to answer are: - The use of reversal agents for neuromuscular blockade after endotracheal intubation may reduce the time for neurological assessment. - The types of reversal agents for neuromuscular blockade may affect the time for neurological assessment. Participants will receive different reversal agents or no medications based on the assigned groups. Thirty minutes after intubation using rocuronium, medication is administered, and the time of initial confirmation of eye opening and movement is recorded. Researchers will compare 3 groups (sugammadex, neostigmine and control(no medication) to see the difference of time for neurological assessment after endotracheal intubation.
Investigation of the feasibility of using near-infrared spectroscopy (NIRS) to monitor microvascular function in critically ill patients.
Observation of the effects of cytokine adsorbent hemadsorption therapy on hemodynamics and mortality in critically ill patients who developed vasoplegic shock due to hyperinflammation without microbiological findings in the intensive care unit.
Evaluation and management of intravascular volume are a central challenge for the critical ill patients. Hypotensive patients are commonly resuscitated with intravenous crystalloid fluid as a recommendation for treatment of many shock states. There has been a growing interest in the implementation of lung ultrasound in critical care management in the last decade as it is easy, bedside, non-expensive, non invasive and radiation free. The object of the current study is to assess the ability of lung and inferior vena cava sonography versus pulse pressure variation to predict fluid responsiveness in patients with circulatory failure on mechanical ventilation.
Introduction: Early and rapid diagnosis of etiology is often an important part of saving the lives of patients in emergency department. Chest CT is an important examination method for emergency diagnosis because of its fast examination speed and accurate localization. Traditional medical imaging diagnosis relies on radiologists to report in a qualitative and subjective manner. Through the interdisciplinary combination of clinical, imaging and artificial intelligence, the integration of multi-omics data, the construction of large-scale language models, and the construction of the auxiliary diagnosis support system of "one check for multiple diseases" provide new ideas and means for the rapid and accurate screening of emergency critical diseases. Method： Study design Investigators retrospectively collected cardiovascular, respiratory, digestive, and neurological CT images, demographic data, medical history and laboratory date of emergency department patients during the period from 1 January 2018 and 30 December 2024. Regularly carry out standardized follow-up work, and complete the collection and database establishment of clinical-imaging multi-omics data of patients attending emergency department.The inclusion criteria are:1. adult emergency patients with cardiovascular, respiratory, digestive, and nervous system diseases; 2. These patients had CT images. Patients with incomplete clinical or radiographic data were excluded from the analysis. Regularly carry out standardized follow-up work, and complete the collection and database establishment of clinical-imaging multi-omics data of patients attending emergency department. Based on the collected medical text data, an artificial intelligence large-scale language model algorithm framework is built. After the structure annotation of chest CT images is performed by doctors above the intermediate level of imaging, the Transformer deep neural network is trained for CT image segmentation, and a series of tasks such as structural structure segmentation, damage detection, disease classification and automatic report generation are developed based on Vision Transformer self-attention architecture mechanism. A multi-disease diagnosis and treatment decision-making system based on chest CT images, clinical text and examination multimodal data was constructed and validated. Disscusion Emergency medicine deals mainly with unpredictable critical and sudden illnesses. Patients who come to the emergency department for medical treatment often have acute onset, hidden condition, rapid progress, many complications, high mortality and disability rate. Assisted diagnosis systems developed by combining clinical text, images and artificial intelligence can greatly improve the ability of emergency department doctors to accurately diagnose diseases. This study fills the blank of CT artificial intelligence aided diagnosis system for emergency patients, and provides a rapid diagnosis scheme for multi-system and multi-disease. Finally, the results will be transformed into clinical application software and used and promoted in clinical work to improve the diagnosis and treatment level.
The COVID-19 pandemic has led to an increased incidence of ventilator-associated pneumonia (VAP) among critically ill patients. However, in a context of high prevalence of multidrug-resistant organisms (MDROs) there is a lack of direct comparison between the incidence of VAP in COVID-19 and non-COVID-19 cohorts. The investigators conducted a prospective, single-center cohort study comparing COVID-19 patients admitted to the intensive care unit (ICU) of the Città della Salute e della Scienza University Hospital in Turin, Italy, between March 2020 and December 2021 (COVID-19 group), with a historical cohort of ICU-mixed patients admitted between June 2016 and March 2018 (NON-COVID-19 group).
concordance between the lactate values on peripheral venous and arterial blood gases in all patients receiving an arterial sample on their arrival in the S.A.U.V.
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.
The goal of this woldwide observational study is to investigate various aspects of fluid and vasopressor therapy in critically ill invasively ventilated patients. The main questions it aims to answer are: - What is the global current practice of fluid and vasopressor therapy? - What are associations between this practice and clinical outcomes? Participating intensive care units will gather detailed information about fluid and vasopressor therapy prescribed to participants. Participating intensive care units will also gather information about participant outcomes such as duration of invasive ventilation, length of stay and mortality