View clinical trials related to Clinical Deterioration.
Filter by:This study collected clinical, laboratory, and CT parameters of acute patients with acute pulmonary embolism from admission to predict adverse outcomes within 30 days after admission into hospital.
The aim of this study is to use artificial intelligence in the form of machine learning analysing vital signs as well as symptoms of patients suffering from Covid19 to identify predictors of disease progression and severe course of disease.
The primary aim of the current study is to assess the effect of continuous wireless vital signs monitoring with generation of real-time alerts compared to blinded monitoring without alerts on the cumulative duration of any severely deviating vital signs in patients admitted to general hospital wards with acute medical conditions. Patients admitted with medical conditions represents a large and heterogenous group occupying a substantial part of the total in-patient capacity in the Danish hospitals today. The hypothesize is that continuous vital signs monitoring, and real-time alerts will reduce the cumulative duration of severely deviating vital signs.
Why? The investigators are trying to find out if participants that suddenly deteriorate on the ward can be identified sooner by wearing a wearable sensor. This is an important study to see if the sensor works correctly in recording continuous vital observations of heart rate, respiratory rate and temperature. This information can help doctors and nurses identify un-well participants. What? The investigators will ask the participants to wear a light wearable sensor on the chest that can be worn for 5 days. If the participants are still in hospital after this time the sensor can be changed. All sensors are disposable. The participants would not have to actively do anything to the sensor. We will also participants to complete a short questionnaire about the sensor. Who? All participants on the ward that are admitted with a new medical or surgical problem can take part in the study. Participants undergoing a surgical procedure that require at least one overnight stay are eligible to take part in this study. Where? This study is being conducted at West Middlesex University Hospital and St Marys Hospital Paddington. Only certain wards are being included at both sites, if the participant moves wards the sensor will be removed. How? The study will last around 5 years and we aim to recruit 1000 participants.
Primary purpose of the study was to evaluate the relationship between "NEWS" and "VIEWS" scores of patients who were screened retrospectively, early clinical deterioration, return to intensive care and morbidity / mortality.
The VitalPac Early Warning Score (VIEWS) scoring system, developed by Prytherch et al., Is an early warning system that aims to predict the first 24-hour mortality in emergency patients. National early warning score (NEWS) is another early warning scoring system recommended by the Royal College of Physicians in London to detect early clinical deterioration in hospitalized patients. The aim of this study was to determine the early clinical deterioration after ICU and hence the rate of admission to intensive care and to evaluate whether these two scoring systems can be used to determine early clinical deterioration in intensive care early discharge.