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
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.
The current study aims to investigate the feasibility of transmitting continuous and wireless vital sign data in real time from patients home to the hospital in patients discharged after an acute medical hospitalization
The current pilot study aims to investigate the feasibility of wireless, continuous monitoring of patients in the days around discharge after an acute medical hospitalization, as well as occurrence of deviating vital signs in this patient group.
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.
This study aims to provide myriad of physiological parameters in patients admitted in an internal medicine department, and which are defined as being in an increased risk of clinical deterioration within the first 72-hours after admission. The investigators will also conduct a retrospective comparison between physiological changes in patients who did deteriorate to those who did not. This will form the basis for the development of an algorithm for early prediction and warning of physiological and clinical deterioration during the first 72-hours of admission.
In 2018, continuous monitoring (CM) of 5 vital signs with a wearable device, including automated MEWS calculation within the EMR were introduced on the surgical and internal medicine ward of our hospital. Rather than taking the measurements manually, this enabled the nurses to periodically validate the continuously derived vital signs at the protocolled moments, and simultaneously get an automatically calculated MEWS reading,. Moreover, continuous vital sign monitoring provides single channel alarms and trends of the vital signs in between the regular measurement moments. Compared to periodic manual measurements and registration in the EMR, the continuous vital sign monitoring and automated MEWS calculations in the EMR may result in better identification of clinical deterioration, and may improve clinical outcome. The primary objective of this study is to evaluate changes in total hospital and ward stay, "Total Events" during admission (rapid response team (RRT) calls and unexpected intensive care unit (uICU) admissions and deaths) after implementation of CM on the regular surgical and internal medicine wards. Secondary objective is to evaluate changes in MEWS scores at the moment of the uICU admissions, length of hospital, ward and ICU stay and the proportion of RRT calls that results in a ICU admission.
The escalation of care for patients in a hospitalized setting between nurse practitioner managed services, teaching services, step-down units, and intensive care units is critical for appropriate care for any patient. Often such "triggers" for escalation are initiated based on the nursing evaluation of the patient, followed by physician history and physical exam, then augmented based on laboratory values. These "triggers" can enhance the care of patients without increasing the workload of responder teams. One of the goals in hospital medicine is the earlier identification of patients that require an escalation of care. The study team developed a model through a retrospective analysis of the historical data from the Mount Sinai Data Warehouse (MSDW), which can provide machine learning based triggers for escalation of care (Approved by: IRB-18-00581). This model is called "Medical Early Warning Score ++" (MEWS ++). This IRB seeks to prospectively validate the developed model through a pragmatic clinical trial of using these alerts to trigger an evaluation for appropriateness of escalation of care on two general inpatients wards, one medical and one surgical. These alerts will not change the standard of care. They will simply suggest to the care team that the patient should be further evaluated without specifying a subsequent specific course of action. In other words, these alerts in themselves does not designate any change to the care provider's clinical standard of care. The study team estimates that this study would require the evaluation of ~ 18380 bed movements and approximately 30 months to complete, based on the rate of escalation of care and rate of bed movements in the selected units.
This is a prospective, observational, multicenter cohort study to compare right ventricular dysfunction dependent and independent prognostic models for short-term serous adverse events in patients who are diagnosed with pulmonary embolism in the emergency department. Clinical endpoints are assessed at days 1-5. A thirty-day follow-up phone call is conducted to obtain further clinical endpoints and a quality of life assessment.