View clinical trials related to Clinical Deterioration.
Filter by:The objective of this retrospective, prospective, multicenter cohort study is to determine the risk factors for deterioration of CVT patients after admission and establish a scoring model for risk stratification of patients. This study included two stages, the first stage was to enroll CVT patients from a single center from 2017 to 2022 for modeling, and the second stage was to enroll CVT patients from three centers in 2023 for external validation
The goal of this prospective observational study is to develop and utilize an Artificial Intelligence (AI) model for the prediction of postoperative sepsis in patients undergoing abdominal surgery. The main questions it aims to answer are: 1. Can a remote AI-driven monitoring system accurately predict sepsis risk in postoperative patients? 2. How effectively can this system integrate and analyze multimodal data for early sepsis detection in the surgical ward? Participants are equipped with non-invasive PPG-based wearable devices to continuously monitor vital signs and collect high-quality clinical data. This data, along with demographic and laboratory information from the Electronic Health Record (EHR) of the hospital, are used for AI model development and validation.
In this observational study, 100 patients admitted to the Cardiothoracic ward will be additionally monitored with video-cameras. The video-cameras will measure heart- and respiration rate continuously. Other features, such a cardiac arrhythmias and context analysis may be added as well. Data will be analysed retrospectively and will be compared with vital parameters measured with healthdot- and spot check measurements.
This is a confirmatory study without any intervention. It is an uncontrolled, non-randomized and open-label study with measurements made with comparators, and it has a preset hypothesis for the primary endpoint. There are no similar devices to VitalThings Guardian M10 / M10 mobile on the market, consequently one or more different types of devices must be used as comparators.
The study aims to investigate the use of wireless, continuous monitoring in patients at home including the frequency of alarms triggered by abnormal vital parameters and their significance for (re)hospitalisation/Serious Adverse Events(SAE) and/or death within 30 days.
This prospective observational research project aims to investigate how vital sign deterioration and complications within the (PACU) relate to early deterioration and complications in the surgical wards 72 hours post-PACU discharge. The participants studied will be high-risk surgical patients who will follow a normal postoperative course from the PACU to the surgical ward. The investigators seek to evaluate the association between deterioration and complications within the PACU with vital signs deterioration and complications in the surgical wards. Second, the investigators will explore how deterioration and complications affect PACU length of stay, morbidity, mortality, rapid response Teams call-outs (RRT) (Early warning score >7), extra medical patient supervision, and unplanned intensive care unit (ICU) admissions. The investigators will also examine the nurses' assessment of the patient's risk of deterioration and complications upon discharge from the PACU and admission to the surgical department.
This is phase IIb, Randomized, Double-blinded, Placebo-controlled Study to Evaluate the Safety and Efficacy of Exosomes Overexpressing CD24 of one dose 10^10 exosome particles, to Prevent Clinical Deterioration in Patients with Mild-Moderate ARDS
In this study, the investigators will deploy a software-based clinical decision support tool (eCARTv5) into the electronic health record (EHR) workflow of multiple hospital wards. eCART's algorithm is designed to analyze real-time EHR data, such as vitals and laboratory results, to identify which patients are at increased risk for clinical deterioration. The algorithm specifically predicts imminent death or the need for intensive care unit (ICU) transfer. Within the eCART interface, clinical teams are then directed toward standardized guidance to determine next steps in care for elevated-risk patients. The investigators hypothesize that implementing such a tool will be associated with a decrease in ventilator utilization, length of stay, and mortality for high-risk hospitalized adults.
Recent small subcortical infarction (RSSI) is defined as a small deep infarction in the territory of a perforating artery with maximum axial diameters (MAD) of less than 20 mm. Although RSSI is generally considered to be of a relatively favorable prognosis, about 13.5% to 43% of RSSI patients experience early neurological deterioration (END) in the acute phase, which often bring adverse effects on long-term outcomes. Although a number of risk factors for END have been identified previously, however, the risk factors of END and the underlying etiological mechanism are still ambiguous, and also the relevant intervention measures lack sufficient evidences, which is a thorny problem that clinicians have to face. In this multicenter, large-sample prospective registry study, we ought to investigate the natural course of END in patients with RSSI. Exploring the risk factors and potential mechanism of its occurrence and development, and trying to establish a comprehensive predictive model for END that integrates multi-dimensional information including clinical symptom, demographic data, biochemical biomarker and image data, and so as to provide a valuable tool for clinical evaluation and early management. Simultaneously, our study will provide information for the design of therapeutic randomized controlled trials in the future.
In this study, it was aimed to determine the effect of HRU and HG on patient outcomes in the care process in surgical patients followed according to MEUSS. The sample of the study, which was conducted as a randomized-controlled clinical trial, consisted of 252 patients who underwent surgical intervention under general anesthesia in a university hospital between 29 July 2022 and 31 October 2022.