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Performance of the "CCS Algorithm" in real world patients
Stephen A LaHaye1, Jonas B Olesen2, Shawn P Lacombe3
1Queen's University, Kingston, Ontario, Canada.
International Journal of Cardiology. Heart & Vasculature
|August 9, 2017
Summary
The Canadian Cardiovascular Society (CCS) Algorithm for atrial fibrillation management showed high concordance with the European Society of Cardiology (ESC) Algorithm. However, the CCS Algorithm may overcomplicate care and potentially under-treat certain patients, particularly women with vascular disease.
Area of Science:
- Cardiology
- Clinical Guidelines
- Evidence-Based Medicine
Background:
- The Canadian Cardiovascular Society (CCS) introduced a new algorithm for atrial fibrillation management in 2014.
- This CCS Algorithm, based on expert opinion, has not undergone prior validation.
- Evaluating its real-world performance is crucial.
Purpose of the Study:
- To assess the clinical performance of the CCS Algorithm.
- To compare the CCS Algorithm against the established European Society of Cardiology (ESC) Algorithm.
Main Methods:
- A comparative analysis of the CCS and ESC Algorithms was conducted.
- The study included 172 hospitalized patients with non-valvular atrial fibrillation at risk of stroke.
- Anticoagulant therapy decisions were evaluated.
Main Results:
- The CCS Algorithm and ESC Algorithm demonstrated high concordance, agreeing in 99% of cases (170/172 patients).
- A discrepancy was observed in two patients with vascular disease but no other risk factors; ESC recommended anticoagulation, while CCS recommended aspirin (ASA).
Conclusions:
- The CCS Algorithm may be overly complex without offering significant added value over the ESC Algorithm.
- Its use could lead to the under-treatment of specific patient groups, such as women with vascular disease.
- The CCS Algorithm might underestimate the stroke risk in certain populations.
