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Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

4 clinical studies listed.

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Deterioration, Clinical

Tundra lists 4 Deterioration, Clinical clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.

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RECRUITING

NCT05098769

A Predictive Tool for Predicting Adverse Outcomes in Acute Pulmonary Embolism Patients Using CTPA.

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.

Gender: All

Ages: 18 Years - Any

Updated: 2026-03-11

1 state

Pulmonary Embolism and Thrombosis
Deterioration, Clinical
ACTIVE NOT RECRUITING

NCT05481242

An Observational Study About Adverse Outcomes in Acute Pulmonary Embolism Patients

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.

Gender: All

Ages: 18 Years - Any

Updated: 2026-03-11

1 state

Pulmonary Embolism and Thrombosis
Deterioration, Clinical
RECRUITING

NCT05482269

Adverse Outcome of Acute Pulmonary Embolism by Artificial Intelligence System Based on CT Pulmonary Angiography

The investigators aim to build a predictive tool for Adverse Outcome of Acute Pulmonary Embolism by Artificial Intelligence System Based on CT Pulmonary Angiography.

Gender: All

Ages: 18 Years - Any

Updated: 2026-03-11

1 state

Pulmonary Embolism and Thrombosis
Deterioration, Clinical
Artificial Intelligence
RECRUITING

NCT05108376

Feasibility and Initial Clinical Impressions of Predictive Monitoring Integrated With the RACE Team

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.

Gender: All

Ages: 18 Years - Any

Updated: 2025-05-14

1 state

Deterioration, Clinical