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Better survival after transcatheter aortic valve replacement by process improvements

OBJECTIVE: The aim of this study is to assess the effects on procedural, 30-day, and 1‑year all-cause mortality by a newly introduced quality improvement strategy in patients after transcatheter aortic valve replacement (TAVR). METHODS: In October 2015, a coherent set of quality improving interventi...

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Detalles Bibliográficos
Autores principales: van Steenbergen, G. J., van Veghel, D., Schulz, D. N., Soliman-Hamad, M., Tonino, P. A., Houterman, S., Dekker, L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bohn Stafleu van Loghum 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991044/
https://www.ncbi.nlm.nih.gov/pubmed/33284420
http://dx.doi.org/10.1007/s12471-020-01526-7
Descripción
Sumario:OBJECTIVE: The aim of this study is to assess the effects on procedural, 30-day, and 1‑year all-cause mortality by a newly introduced quality improvement strategy in patients after transcatheter aortic valve replacement (TAVR). METHODS: In October 2015, a coherent set of quality improving interventions with respect to patient geriatric screening, general diagnostic examination and safety of the procedure was implemented at a single centre in the Netherlands. Patients undergoing TAVR in 2013–2018 were included for retrospective analysis. Mortality was assessed in the pre-quality improvement strategy cohort (January 2013 to October 2015; cohort A) and in the post-quality improvement strategy cohort (November 2015 to December 2018; cohort B). Logistic regression analysis was used to estimate the influence of patient and procedural characteristics on the results of the quality improvement strategy in terms of procedural, 30-day, and 1‑year all-cause mortality. RESULTS: In total, 806 patients were analysed with 274 patients in cohort A and 532 patients in cohort B. After introduction of the quality improvement strategy, procedural (4.4% to 1.3%, p < 0.01), 30-day (8.4% to 2.7%, p < 0.01) and 1‑year (16.4% to 8.5%, p < 0.01) all-cause mortality significantly decreased. Multivariate regression analysis showed that the quality improvement strategy also significantly reduced 30-day (odds ratio [OR] 0.19, 95% confidence interval [CI] 0.09–0.42) and 1‑year (OR 0.38, 95% CI 0.24–0.61) all-cause mortality if corrected for patient characteristics. CONCLUSION: Structural meetings on evaluation of outcomes highlight potential areas for improvement and subsequent outcome-based quality improvement initiatives can result in lower procedural, 30-day, and 1‑year all-cause mortality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12471-020-01526-7) contains supplementary material, which is available to authorized users.