View clinical trials related to Emergencies.
Filter by:The purpose of this study is to demonstrate that addition of the Monocyte Width Distribution (MDW) parameter to current standard of care improves a clinician's ability to recognize sepsis in the Emergency Department, resulting in earlier decision to administer antibiotics from time of ED presentation for sepsis patients (simulated primary endpoint), with concomitant reductions in length of stay and in-hospital mortality for those patients (secondary endpoints).
The aim of this trial is to evaluate the effect of high-dose glucocorticoid on inflammatory response and recovery after emergency laparotomy in participants with intestinal obstruction and perforated viscus. Primary outcome is the reduction of C-reactive protein on postoperative day 1. Secondary outcomes are organ specific complications in the post anaesthesia phase, endothel and inflammatory markers, fluid status, preload dependency, pain, lung function, nausea and mobilization during the first 5 days after surgery, . The investigators hypothesize, that a preoperative single high dose of glucocorticoid reduces systemic inflammatory response after emergency laparotomy.
Survey-based satisfaction, performance and technical features evaluation of a speech-enabled fixed-phrase translation tool (BabelDR) in an emergency department.
Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, first appeared in China, and then spread around the world. In December 2019, a group of patients with pneumonia of unknown origin were infected after exposure to the market in Wuhan, Hubei province, China. Very quickly, a new coronavirus was isolated from a sample of a patient's lower respiratory tract and the entire virus genome was sequenced. This new coronavirus, named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) for its genetic homology with SARS-CoV-2, has shown worldwide expansion. Thus, on January 30, 2020, the World Health Organization (WHO) announced the COVID-19 epidemic as a threat to public health at the international level, then, in March 2020, the global situation degenerated into a pandemic. . Johns Hopkins University has reported more than 7,600,000 cases of infections and more than 427,000 deaths as of June 13, 2020. Due to the rapid progression of the COVID-19 pandemic and the limited capacity of molecular laboratory tests, the concept of delocalized molecular tests appears to be relevant. Indeed, the urgent need to increase testing for COVID-19 has been clearly identified as an essential part of the strategy to combat the coronavirus worldwide. In fact, COVID-19 represents a major public health problem currently causing a rapidly increasing number of infections and significant morbidity and mortality worldwide. As of July 1, 2020, more than 10 million people worldwide have been infected with SARS-CoV-2. As of December 20, 2020, this tally is 76,624,363 cases of contamination and 1,690,658 deaths following Johns Hopkins University
A study to investigate how stroke is identified and whether FAST, face-arm-speech test, is used in the emergency medical dispatch centre in Stockholm. The study will also investigate when FAST is used, does it increase the identification of stroke? And if other factors can be identified as "markers" for more effective identification of stroke during the emergency call.
This study is a randomized controlled trial where participants are randomly assigned in a 1:1 ratio to either a rapid test group or a control group. Standard care is provided in the control group. Follow-up is conducted until discharge from the hospital, followed by telephone check-ins and completion of questionnaires by the participants themselves or their proxies until 30 days after randomization. Children of any age presenting at selected participating sites with acute respiratory tract infections, where initial treatment decisions are uncertain, are eligible to participate. The study aims to enrol 520 participants and involves Paediatric Emergency Rooms across Europe.
The purpose of the study was to evaluate the risk, consequences and epidemiology of electric scooter accidents admitted to the emergency room at St. Pierre University Hospital. This prospective observational study aims to include any patient admitted to the Adult Emergency Department of St.Pierre University Hospital Brussels following an accident related to the use of an electric scooter in order to describe and understand the epidemiology, complications and treatment of injuries associated with this means of transport. It is intended to include all accidents occurring in the emergency room during the period from 01/06/2019 to 30/06/2020.
A cluster randomized trial will be conducted prior to widespread vaccine availability to the general public. Community-informed COVID-19 vaccine messages will be disseminated to participants. At baseline, 2 weeks and 4 weeks, the study team will survey participants to assess knowledge and attitudes about COVID-19 vaccines, including intention to be vaccinated.
The HEAVEN criteria were found valid to predict difficult airways during preclinical emergency intubations in a retrospective study. The acronym stands for Hypoxemia, Extremes of size, Anatomic abnormalities, Vomit/blood/fluid, Exsanguination/anaemia, and Neck mobility issues. This is a monocentric prospective observational study to assess the validity of the HEAVEN criteria in the in-hospital setting at a level I adult and pediatric emergency university-based hospital.
AIM: To advance the development and accuracy of the Lifelight® app for the measurement of vital signs, therefore developing a non-invasive and easy-to-perform means of measuring vital signs which can be implemented across a wide range of settings, both within hospitals and out in the community. METHOD: Lifelight® is a computer program ("app") for measuring vital signs which can be used on smart devices that contain a camera. It is able to measure all of the vital signs by measuring very small changes in skin colour that occur each time the heart beats. This means that it does not need to touch the patient. The investigators believe this could be an effective way of measuring vital signs, especially during the COVID-19 pandemic when prevention of cross-contamination between patients is essential. Patients are also likely to be reassured by a contactless approach. The app uses data from looking at a person's face to calculate the vital signs. This is possible because there are tiny changes in facial skin that occur each time the heart beats. The investigators believe Lifelight® could be an effective way of measuring vital signs. The app is still under development, which means that it is still "learning" the best match between the information it collects from the face and the values of vital signs measured using the standard equipment. The app should become more accurate in calculating the vital signs as it sees more and more information from patients. So far, the app has seen data from inpatients, outpatients, patients attending GP surgeries and healthy people. This has improved its accuracy in measuring vital signs. However, the app needs to see more information so that it can be sufficiently accurate for specific clinical applications such as long-term monitoring of hypertension. To do this, it particularly needs to see information from people with abnormal blood pressures and blood oxygen levels. In order to capture the full range of observations, the app will need to be trialled with some of the most critically ill patients - some of these will not have capacity to consent to participation in the study. It also needs to see more data from people with different skin tones so the investigators can be sure it is accurate for all patients. To do this, the investigators will recruit people who are attending one of two hospitals, either as an inpatient, an outpatient, a friend/relative of a patient, or a member of hospital staff. The exact number will depend on how quickly the app "learns" and how many of the vital signs are outside of the normal range. The investigators will take the participant's vital signs using standard clinical equipment whilst recording a video of their face. The investigators will use most of these measurements and video to teach the app how to become more accurate at measuring vital signs. The investigators will keep the remaining data separate and use it to test how accurate the app is. All of the data will be kept securely. The investigators will also collect feedback from participants and healthcare staff on their experiences using the app and information that allows us to assess whether there are any savings to the healthcare economy through use of this technology.