Digital Decision Support in the Management of Patients With Chest Pain
Recruiting now
Conditions studied: Chest Pain, Acute Coronary Syndrome, Chest--Diseases
In brief
The goal of this observational study is to develop a decision support system in patients presenting with chest pain in the prehospital setting. The main question it aims to answer is: • Performance of a machine learning based model for decision support of patients in contact with emergency medical services due to chest pain Participants will be asked to: * respond to questions asked by the clinician at the scene regarding previous known risk factors and pain characteristics * consent to the collection of routinely available data from medical records * consent of taking one blood sample capillary or venous (if perifer catheter is placed for standard care reasons) troponin and glucose which is measured at the scene, disposed, and the result is entered in the clinical report form.
Key facts
- Study ID
- NCT05767619
- Run by
- Vastra Gotaland Region
- People needed
- 2000
- Starts
- 2023-05-15
- Expected to finish
- 2027-03-01
- Last updated by the study team
- 2023-06-18
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Patient in contact with the emergency medical service and patient main symptom is chest pain or chest discomfort
- Primary assignment (not assessed by physician in primary care, hospital)
You may not qualify if…
- Assignment taking place outside participating emergency medical service organisation geographical catchment area
- Under 18 years of age
- Unwillingness to participate
- Unable to participate (language, dementia, etc.)
- Other
Where it is running
- Department of Prehospital Emergency Care,Region Halland — Kungsbacka, Region Halland, Sweden (enrolling)
- Department of Prehospital Emergency Care, Sahlgrenska University Hospital — Gothenburg, Region Vastra Gotaland, Sweden (enrolling)
- Department of Prehospital Emergency Care, Skaraborg — Lidköping, Region Vastra Gotaland, Sweden (enrolling)
Full record on ClinicalTrials.gov
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