Key result
New decision algorithm tailors chest pain evaluation to maximize accuracy and guide cost-effective treatments.
Why the study?
Chest pain is common and poses a diagnostic dilemma, where misdiagnosis of acute or progressive chronic cardiac etiologies carries significant risk of morbidity and mortality.
This review summarizes diagnostic modalities for coronary artery disease and presents a decision algorithm for tailored test selection in patients with chest pain.
May guide tailored chest pain testing in practice; leaves open prospective validation of accuracy and outcomes.
Chest pain/discomfort (CP) is a common symptom and can be a diagnostic dilemma for many clinicians. The misdiagnosis of an acute or progressive chronic cardiac etiology may carry a significant risk of morbidity and mortality. This review summarizes the different options and modalities for establishing the diagnosis and severity of coronary artery disease. An effective test selection algorithm should be individually tailored to each patient to maximize diagnostic accuracy in a timely fashion, determine short- and long-term prognosis, and permit implementation of evidence-based treatments in a cost-effective manner. Through collaboration, a decision algorithm was developed (www.chowmd.ca/cadtesting) that could be adopted widely into clinical practice.
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Chow et al. (2023) conducted a review in Chest pain / Coronary artery disease. Diagnostic testing algorithms was evaluated. A decision algorithm for chest pain evaluation was developed to tailor diagnostic testing, maximize accuracy, determine prognosis, and guide cost-effective treatments.
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