Interventional cardiology (London, England) · 2025
Management of Coronary Artery Disease in the Context of Transcatheter Aortic Valve Implantation: A Systematic Review and Meta-analysis of Percutaneous Coronary Intervention Timing and an Algorithmic Approach to Management.
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Murray Cian, Ryan Caoimhe, Cronin Michael, Temperley Hugo, O'Sullivan Niall, O'Connor Stephen, Maree Andrew, Hensey Mark
Аннотация
BACKGROUND: Transcatheter aortic valve implantation (TAVI) is widely performed for severe aortic stenosis (AS), often accompanied by coronary artery disease (CAD). The optimal management of CAD in TAVI patients remains uncertain. This study reviews the evidence on percutaneous coronary intervention (PCI) timing in TAVI, and proposes an algorithmic approach for CAD management.
METHODS: A comprehensive search of PubMed, EMBASE and Cochrane identified studies comparing PCI timing strategies in TAVI patients.
RESULTS: Thirteen studies with 15,412 participants were included. Mortality at 30 days (OR 5.70; 95% CI [1.34-24.36]) and 2 years (OR 4.40; 95% CI [2.60-7.44]) were significantly higher in the combined pre-TAVI and concomitant PCI group than in the post-TAVI cohort. Rates of other periprocedural complications, such as stroke and bleeding, varied across studies.
CONCLUSION: There is no clear consensus on PCI timing in TAVI due to a lack of high-quality randomised data. An individualised, algorithmic approach is proposed for managing CAD in patients undergoing TAVI.
METHODS: A comprehensive search of PubMed, EMBASE and Cochrane identified studies comparing PCI timing strategies in TAVI patients.
RESULTS: Thirteen studies with 15,412 participants were included. Mortality at 30 days (OR 5.70; 95% CI [1.34-24.36]) and 2 years (OR 4.40; 95% CI [2.60-7.44]) were significantly higher in the combined pre-TAVI and concomitant PCI group than in the post-TAVI cohort. Rates of other periprocedural complications, such as stroke and bleeding, varied across studies.
CONCLUSION: There is no clear consensus on PCI timing in TAVI due to a lack of high-quality randomised data. An individualised, algorithmic approach is proposed for managing CAD in patients undergoing TAVI.