Why the study?
Stroke after TAVI is an infrequent but serious complication impacting morbidity and mortality, but contemporary real-world evidence on risk factors for early stroke is scarce.
In-hospital stroke complicates 2.0% of TAVI procedures and is associated with significantly increased short- and long-term mortality, highlighting the need for procedural optimization in high-risk patients.
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In-hospital stroke after TAVI was associated with higher mortality; this observational analysis leaves open the need for validated predictors in prospective studies.
BACKGROUND: Stroke after transcatheter aortic valve implantation (TAVI) is an infrequent but serious complication with important impact on morbidity and mortality. Contemporary real-world evidence on the risk factors of early stroke after TAVI is scarce. We aimed to evaluate the incidence, temporal trends and predictors of in-hospital stroke after TAVI and to assess its association with mortality. METHODS: We conducted a retrospective, observational cohort study using data from the Netherlands Heart Registration of all TAVI procedures performed in the Netherlands between 2013 and 2023. The primary endpoint was the incidence of in-hospital stroke. The secondary endpoints were trends, mortality and risk factors associated with in-hospital stroke and early mortality as identified by logistic regression. RESULTS: Among 23 593 TAVI procedures, the overall incidence of in-hospital stroke was 2.0% and remained stable after an initial decline. Independent covariates associated with in-hospital stroke included female gender (OR 1.29; 95% CI 1.07 to 1.56), peripheral arterial disease (OR 1.55; 95% CI 1.24 to 1.93), non-transfemoral access (OR 1.54; 95% CI 1.21 to 1.93) and postdilation (OR 1.40; 95% CI 1.10 to 1.76). In-hospital stroke was strongly associated with an increased risk of mortality at 30 days (OR 8.54; 95% CI 6.56 to 11.02), and 1 year (OR 4.38; 95% CI 3.55 to 5.40). CONCLUSIONS: In-hospital stroke remains an important complication after TAVI with a strong impact on mortality. Identification of high-risk patients and procedural optimisation is essential in optimisation of outcome.
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Putten et al. (2025) studied this question.
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