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.
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 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
The purpose of this study is to assess fluid accumulation (FA) in the body using BIA (Bioelectrical Impedance Analysis) in critically ill patients treated in the ICU. This study is an observational cohort with an initial phase that analyzes prospective individual patient data
The aim of this study is to test the effect of 1week of extracorporeal diaphragm pacing (EDP) combined either with or without tilt table verticalization (TTV) on diaphragm function in patients with mechanical ventilation compared to conventional physiotherapy (CPT).
Introduction: Lactoferrin has several uses due to its effects. It has anti-inflammatory, antioxidant, immunomodulatory, antibacterial, antifungal, and antiviral effects. Its safety is proven by food and drug administration. Aims: The objective is to study the effect of lactoferrin on improving clinical outcomes in ICU patients when compared to placebo, and also to evaluate its safety. Patients and populations: A sample of 650 patients (325 patients in both groups A, and B) who will be admitted to ICU departments in Mansoura university hospital will be used to represent the population in ICU. Methods: A sample of 650 participants was randomized 1:1 into two groups (group A (325 patients), and group B (325 patients)). This study is a double-blind, randomized controlled clinical trial. Randomization was performed by independent clinical pharmacists working in hospital ICU departments.
The objective of this prospective observational cohort study is to describe the perception of quality of care of patients or reference companions admitted to a medical-surgical ICU.
Globally, the estimated preterm birth rate is estimated at 10.6% of all live births, or about 14.8 million infants per year. Breastfeeding is associated with a reduction of risk for several acute and chronic diseases in women and their infants, and the benefits are especially important for small, sick and preterm infants. Important benefits of breastmilk provision for premature and fragile infants including a reduction of the risk for late-onset sepsis, necrotizing enterocolitis, and ventilator-associated pneumonia. In 2020, the World Health Organization (WHO) and the United Nations Children's Fund (UNICEF) released The Baby friendly Hospital Initiative (BFHI) for small, sick and preterm newborns. Based on the evidence put forward in this document,this review outlines the main steps that health care professionals and facilities can take to support breastfeeding in vulnerable groups of infants. The objective of this study is to summarize essential steps for healthcare personnel and health care facilities to improve breastfeeding practices in small, sick and preterm infants.
Weaning and extubation are essential steps for the management of critically ill patients when mechanical ventilation (MV) is no longer required. Extubation failure (EF) occurs in approximately 10-30% (1,2) of all patients meeting the readiness criteria and have tolerated a spontaneous breathing trial (SBT). EF is associated with prolonged MV, as well as increased morbidity and mortality (2). Therefore, the early identification of critically ill patients who are likely to experience EF is vital for improved outcomes. EF can result from different factors (respiratory, metabolic, neuromuscular), particularly cardiac factor, and can be caused by the inability of the respiratory muscle pump to tolerate increases in the cardiac and respiratory load (1,3). Respiratory drive represents the intensity of the neural stimulus to breathe. In mechanically ventilated patients, it can be abnormally low (i.e., suppressed or insufficient) or abnormally high (i.e., excessive), and thus result in excessively low or high inspiratory effort, leading to potential injury to the respiratory muscles (i.e., myotrauma) (4,5) or to the lungs. A high incidence of abnormal drive (low or high) may explain the high incidence of diaphragm dysfunction at time of separation from mechanical ventilation (6). Airway occlusion pressure (P0.1) is the drop in airway pressure (Paw) 100 milliseconds after the onset of inspiration during an end-expiratory occlusion of the airway (7). P0.1 measurement is not perceived by the patient and does not influence respiratory pattern. It is, in theory, a reliable measure of respiratory drive because the brevity of the occlusion explains that it is not affected by patient's response to the occlusion and it is independent of respiratory mechanics (8). P0.1 has also been correlated with inspiratory effort (9, 10) and it has been shown that in patients under assisted mechanical ventilation P0.1 might be able to detect potentially excessive inspiratory effort (11). P0.1 is a non-invasive measure and clinically available at bedside since currently nearly all modern ventilators provide a means of measuring it. Originally, a high P0.1 during a spontaneous breathing trial was associated with failure, suggesting that a high respiratory drive could predict weaning failure. However, only a few and old clinical studies investigated the association between P0.1 and extubation failure (EF) and were not conclusive (12,13). We hypothesized that patients with EF would have increased P0.1 values during spontaneous breathing trial (SBT). Therefore, the aims of our study will be to (1) to evaluate the ability of changes in P0.1 (Delta-P0.1) during SBT to predict EF and (2) to assess if Delta-P0.1 is an independent predictor of EF.