Aiming toWards Evidence baSed inTerpretation of Cardiac biOmarkers in patients pResenting with chest pain-the WESTCOR study: study design
Hilde L Tjora1, Ole-Thomas Steiro2, Jørund Langørgen2
1Emergency Care Clinic, Haukeland University Hospital , Bergen , Norway.
Insights
The WESTCOR study aims to enhance chest pain diagnosis in emergency departments by developing new algorithms for non-ST elevation acute coronary syndrome (NSTE-ACS). This research improves early detection and exclusion of NSTE-ACS using cardiac biomarkers and advanced imaging.
Area of Science:
- Cardiology
- Emergency Medicine
- Diagnostic Imaging
Background:
- Acute chest pain is a common emergency department presentation.
- Accurate diagnosis of non-ST elevation acute coronary syndrome (NSTE-ACS) is crucial for patient outcomes.
- Current diagnostic pathways require optimization for efficiency and accuracy.
Purpose of the Study:
- To improve diagnostic pathways for patients with acute chest pain in the Emergency department (ED).
- To develop and validate new algorithms for early rule-out and rule-in of NSTE-ACS using novel cardiac biomarker assays.
- To assess the association between cardiac biomarkers, coronary atherosclerosis severity, and clinical outcomes.
Main Methods:
- Prospective, observational, two-center study (WESTCOR-study).
- Recruitment of 2250 unselected patients with suspected NSTE-ACS.
- Adjudication of diagnoses by independent cardiologists using serial troponin measurements, coronary angiography, coronary CT angiography, and echocardiography.
- Development of algorithms in a derivation cohort (N=985) and validation in an external cohort (N=750).
- Subcohort (n=500) for CT angiography to correlate biomarkers with atherosclerosis.
Main Results:
- The study is designed to yield new diagnostic algorithms for NSTE-ACS.
- It will provide insights into the relationship between cardiac biomarkers and coronary atherosclerosis.
- Associations between biomarkers, imaging findings, and clinical outcomes will be elucidated.
Conclusions:
- The WESTCOR study will generate novel diagnostic algorithms for NSTE-ACS.
- Findings will enhance the interpretation of cardiac biomarkers in chest pain patients.
- This research will improve the early management and long-term outcomes for patients with acute chest pain.
Abstract:
Objectives. The main aim of the Aiming toWards Evidence baSed inTerpretation of Cardiac biOmarkers in patients pResenting with chest pain (WESTCOR-study) (Clinical Trials number NCT02620202) is to improve diagnostic pathways for patients presenting to the Emergency department (ED) with acute chest pain. Design. The WESTCOR-study is a two center, cross-sectional and prospective observational study recruiting unselected patients presenting to the ED with suspected non-ST elevation acute coronary syndrome (NSTE-ACS). Patient inclusion started September 2015 and we plan to include 2250 patients, finishing in 2019. The final diagnosis will be adjudicated by two independent cardiologists based on all available information including serial high sensitivity cardiac troponin measurements, coronary angiography, coronary CT angiography and echocardiography. The study includes one derivation cohort (N = 985) that will be used to develop rule out/rule in algorithms for NSTEMI and NSTE-ACS (if possible) using novel troponin assays, and to validate established NSTEMI algorithms, with and without clinical scoring systems. The study further includes one subcohort (n = 500) where all patients are examined with coronary CT angiography independent of biomarker status, aiming to assess the associations between biomarkers and the extent and severity of coronary atherosclerosis. Finally, an external validation cohort (N = 750) will be included at Stavanger University Hospital. Prospective studies will be based on the merged cohorts. Conclusion. The WESTCOR study will provide new diagnostic algorithms for early inclusion and exclusion of NSTE-ACS and insights in the associations between cardiovascular biomarkers, CT-angiographic findings and short and long-term clinical outcomes.
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