Digital Decision Support in the Management of Patients With Chest Pain

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.

NCT Number	NCT05767619
Lead Sponsor	Vastra Gotaland Region Collaborators: Department of Prehospital Emergency Care, Region Halland, Sweden, Department of Prehospital Emergency Care, Skaraborg, Vastra Gotaland Region, Sweden, Sahlgrenska University Hospital
Conditions	Chest Pain, Acute Coronary Syndrome, Chest--Diseases
Enrollment	2,000 participants
Start Date	2023-05-15
Primary Completion	2025-03 (estimated)
Study Completion	2027-03 (estimated)
Updated on ClinicalTrials.gov	2023-06-18