Active clinical trials for "Clinical Deterioration"

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.

This multi-center retrospective study collected clinical, laboratory, and CT pulmonary angiography parameters with acute pulmonary embolism patients from admission to predict adverse outcomes within 30 days after admission into hospital.

Rapid response teams (RRTs) have been adopted by hospitals to provide urgent critical care to hospitalized patients who require quick intervention to prevent further deterioration. Early warning scores (EWS) serve as a method to identify patients requiring RRT assessment by analyzing routinely collected data such as vital signs and laboratory results. The Visensia Safety Index (VSI) is an EWS that uses continuous vital sign monitoring and machine learning to identify the likelihood of deterioration and can be integrated with existing hospital data infrastructure. Initial studies of the VSI have both validated the system and found that patients monitored using VSI had a shorter duration of any instability and fewer episodes of serious and persistent instability. The investigators' recent retrospective analysis at The Ottawa Hospital (TOH) identified that implementation of an EWS could have detected earlier deterioration in over half of the patients identified, potentially preventing subsequent ICU admission, severity of illness, and/or mortality. Thus, this study aims to determine the feasibility and potential impact of implementing a portable continuous monitoring system with a VSI trigger at TOH to identify patients at high risk of deterioration.

This is a multicenter, randomized, double-blind, parallel group study to investigate the efficacy of pemziviptadil (PB1046) by improving the clinical outcomes in hospitalized COVID-19 patients at high risk for rapid clinical deterioration, acute respiratory distress syndrome (ARDS) and death. The study will enroll approximately 210 hospitalized COVID-19 patients who require urgent decision-making and treatment at approximately 20 centers in the United States.

For patients admitted with COVID-19 infection, it is often difficult to predict if or when their clinical condition will deteriorate. However subtle changes in vital signs are usually present 8 to 24 hours before a life-threatening event such as respiratory failure leading to ICU admission, or unanticipated cardiac arrest. Such adverse trends in clinical observations can be missed, misinterpreted or not appreciated as urgent. New continuous and wearable 24/7 clinical vital parameter monitoring systems offer a unique possibility to identify clinical deterioration before patients condition progress beyond the point-of-no-return, where adverse events are inevitable. The primary aim of this study is to test the effect of continuous wireless vital signs monitoring with generation of real-time alerts through a purpose-built GUI, compared to standard EWS monitoring on the cumulative duration of any severely deviating vital signs

This project investigates individual treatments using convalescent severe acute respiratory Syndrome Coronavirus 2 (SARS-CoV-2) plasma in SARS-CoV-2 infected patients at risk for disease progression. In addition to standard of care, SARS-CoV-2 infected patients for whom blood group compatible convalescent plasma is available and who are willing to sign the informed consent receive convalescent plasma. Only patients with moderate to severe disease at risk for transfer to intensive care unit or patients at the intensive care unit with limited treatment options will be treated.

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.

Acute deterioration among hospitalised patient can result in serious adverse events like cardiac arrest, unexpected death or unanticipated intensive care unit (ICU) admission. Most events are preceeded by deteriorating vital signs, and potentially avoidable. To detect and treat hospitalised at-risk patients early an early warning score (EWS) was introduced at the investigator site. EWS measures of a number of physiological parameters that are aggregated to a common score, that directs monitoring frequency, clinical interventions and competency of the provider. Patients with low scores (0 - 1) are monitored every 12th hour and seldom experience serious adverse events. The optimal monitoring frequency for this group is unknown, and presently based on a compromise between patient safety and work load issues. The aim of the present study is to explore if an 8 hourly monitoring interval (intervention) is correlated with a better outcome than 12 hour intervals (control), based on the number of patients that deteriorate to a higher EWS 24 hours after hospital admission in each group.

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.

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.