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Clinical Deterioration clinical trials

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NCT ID: NCT05481242 Active, not recruiting - Clinical trials for Pulmonary Embolism and Thrombosis

An Observational Study About Adverse Outcomes in Acute Pulmonary Embolism Patients

Start date: January 1, 2011
Phase:
Study type: Observational

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.

NCT ID: NCT04969172 Active, not recruiting - COVID-19 Disease Clinical Trials

A Phase II Randomized, Double-blind, Placebo-controlled Study to Evaluate the Safety and Efficacy of Exosomes Overexpressing CD24 to Prevent Clinical Deterioration in Patients With Moderate or Severe COVID-19 Infection

Start date: July 11, 2021
Phase: Phase 2
Study type: Interventional

A Phase II Randomized, double-blind, Placebo-controlled Study to Evaluate the safety and efficacy of exosomes overexpressing CD24 to prevent clinical deterioration .The study population will include patients with moderate or severe COVID-19 infection and laboratory markers predictive of the cytokine storm from the Corona department of each site, who have provided an informed consent. 155 patients will be randomized in a 2:1 ratio to receive either 1010 exosome particles (103 patients) or placebo (52 patients).The exosomes will be diluted in 4ml normal saline for inhalation, administered once daily (QD) for 5 days. Placebo (saline) will be prepared for inhalation and administered in the same manner as the exosomes.

NCT ID: NCT04359641 Active, not recruiting - Clinical trials for Clinical Deterioration

Predictive Monitoring - IMPact in Acute Care Cardiology Trial

PM-IMPACCT
Start date: January 4, 2021
Phase: N/A
Study type: Interventional

Hypothesis: display of predictive analytics monitoring on acute care cardiology wards improves patient outcomes and is cost-effective to the health system. The investigators have developed and validated computational models for predicting key outcomes in adults, and a useful display has been developed, implemented and iteratively optimized. These models estimate risk of imminent patient deterioration using trends in vital signs, labs and cardiorespiratory dynamics derived from readily available continuous bedside monitoring. They are presented on LCD monitors using software called CoMET (Continuous Monitoring of Event Trajectories; AMP3D, Advanced Medical Predictive Devices, Diagnostics, and Displays, Charlottesville, VA) To test the impact on patient outcomes, the investigators propose a 22-month cluster-randomized control trial on the 4th floor of UVa Hospital, a medical-surgical floor for cardiology and cardiovascular surgery patients. Clinicians will receive standard CoMET device training. Three- to five-bed clusters will be randomized to intervention (predictive display plus standard monitoring) or control (standard monitoring alone) for two months at a time. In addition, risk scores for patients in the intervention clusters will be presented daily during rounds to members of the care team of physicians, residents, nurses, and other clinicians. Data on outcomes will be statistically compared between intervention and control clusters.